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IEEE Fraud detection adversarial validation [LGBM]ΒΆ

Giskard is an open-source framework for testing all ML models, from LLMs to tabular models. Don’t hesitate to give the project a star on GitHub ⭐️ if you find it useful!

In this notebook, you’ll learn how to create comprehensive test suites for your model in a few lines of code, thanks to Giskard’s open-source Python library.

Use-case:

Outline:

  • Detect vulnerabilities automatically with Giskard’s scan

  • Automatically generate & curate a comprehensive test suite to test your model beyond accuracy-related metrics

Install dependenciesΒΆ

Make sure to install the giskard

[ ]:
%pip install giskard --upgrade

TroubleshootingΒΆ

If you encounter a segmentation fault on macOS at any point during this tutorial, check: https://docs.giskard.ai/en/stable/community/contribution_guidelines/dev-environment.html#fatal-python-error-segmentation-fault-when-running-pytest-on-macos

Import librariesΒΆ

[1]:
import os
from pathlib import Path
from urllib.request import urlretrieve

import numpy as np
import pandas as pd
from lightgbm import LGBMClassifier
from pandas.api.types import union_categoricals
from sklearn.metrics import roc_auc_score
from sklearn.model_selection import train_test_split

from giskard import Dataset, Model, scan, testing

Define constantsΒΆ

[ ]:
# Constants.
TARGET_COLUMN = "isTest"
IDX_LABEL = "TransactionID"

# Paths.
DATA_URL = "https://giskard-library-test-datasets.s3.eu-north-1.amazonaws.com/fraud_detection_classification_dataset-{}"
DATA_PATH = Path.home() / ".giskard" / "fraud_detection_classification_dataset"

Dataset preparationΒΆ

Load and preprocess dataΒΆ

[ ]:
def fetch_demo_data(url: str, file: Path) -> None:
    """Helper to fetch data from the FTP server."""
    if not file.parent.exists():
        file.parent.mkdir(parents=True, exist_ok=True)

    if not file.exists():
        print(f"Downloading data from {url}")
        urlretrieve(url, file)

    print(f"Data was loaded!")


def fetch_dataset():
    files_to_fetch = [
        "train_transaction.csv.tar.gz",
        "train_identity.csv.tar.gz",
        "test_transaction.csv.tar.gz",
        "test_identity.csv.tar.gz",
    ]
    for file_name in files_to_fetch:
        fetch_demo_data(DATA_URL.format(file_name), DATA_PATH / file_name)


# Define data-types of transactions features.
DATA_TYPES_TRANSACTION = {
    "TransactionID": "int32",
    "isFraud": "int8",
    "TransactionDT": "int32",
    "TransactionAmt": "float32",
    "ProductCD": "category",
    "card1": "int16",
    "card2": "float32",
    "card3": "float32",
    "card4": "category",
    "card5": "float32",
    "card6": "category",
    "addr1": "float32",
    "addr2": "float32",
    "dist1": "float32",
    "dist2": "float32",
    "P_emaildomain": "category",
    "R_emaildomain": "category",
}

C_COLS = [f"C{i}" for i in range(1, 15)]
D_COLS = [f"D{i}" for i in range(1, 16)]
M_COLS = [f"M{i}" for i in range(1, 10)]
V_COLS = [f"V{i}" for i in range(1, 340)]

DATA_TYPES_TRANSACTION.update((c, "float32") for c in C_COLS)
DATA_TYPES_TRANSACTION.update((c, "float32") for c in D_COLS)
DATA_TYPES_TRANSACTION.update((c, "float32") for c in V_COLS)
DATA_TYPES_TRANSACTION.update((c, "category") for c in M_COLS)

# Define datatypes of identity features.
DATA_TYPES_ID = {
    "TransactionID": "int32",
    "DeviceType": "category",
    "DeviceInfo": "category",
}

ID_COLS = [f"id_{i:02d}" for i in range(1, 39)]
ID_CATS = [
    "id_12",
    "id_15",
    "id_16",
    "id_23",
    "id_27",
    "id_28",
    "id_29",
    "id_30",
    "id_31",
    "id_33",
    "id_34",
    "id_35",
    "id_36",
    "id_37",
    "id_38",
]

DATA_TYPES_ID.update(((c, "float32") for c in ID_COLS))
DATA_TYPES_ID.update(((c, "category") for c in ID_CATS))

# Define list of all categorical features.
CATEGORICALS = [
    f_name for (f_name, f_type) in dict(DATA_TYPES_TRANSACTION, **DATA_TYPES_ID).items() if f_type == "category"
]


def read_set(_type):
    """Read both transactions and identity data."""
    print(f"Reading transactions data...")
    _df = pd.read_csv(
        os.path.join(DATA_PATH, f"{_type}_transaction.csv.tar.gz"),
        index_col=IDX_LABEL,
        dtype=DATA_TYPES_TRANSACTION,
        nrows=250,
    )

    print(f"Reading identity data...")
    _df = _df.join(
        pd.read_csv(os.path.join(DATA_PATH, f"{_type}_identity.csv.tar.gz"), index_col=IDX_LABEL, dtype=DATA_TYPES_ID)
    )
    return _df


def read_dataset():
    """Read whole data."""
    fetch_dataset()

    print(f"Reading train data...")
    train_set = read_set("train")

    print(f"Reading test data...")
    test_set = read_set("test")

    return train_set, test_set
[ ]:
def preprocess_dataset(train_set, test_set):
    """Unite train and test into common dataframe."""
    # Create a new target column and remove a former one from the train data.
    print("Start data preprocessing...")
    train_set.pop("isFraud")
    train_set["isTest"] = 0
    test_set["isTest"] = 1

    # Preprocess categorical features.
    n_train = train_set.shape[0]
    for c in train_set.columns:
        s = train_set[c]
        if hasattr(s, "cat"):
            u = union_categoricals([train_set[c], test_set[c]], sort_categories=True)
            train_set[c] = u[:n_train]
            test_set[c] = u[n_train:]

    # Unite train and test data.
    united = pd.concat([train_set, test_set])

    # Add additional features.
    united["TimeInDay"] = united.TransactionDT % 86400
    united["Cents"] = united.TransactionAmt % 1

    # Remove useless columns.
    united.drop("TransactionDT", axis=1, inplace=True)

    print(f"Dataset merged and preprocessed! Resulted shape: {united.shape}")

    return united
[ ]:
united_dataset = preprocess_dataset(*read_dataset())

Train-test splitΒΆ

[6]:
X_train, X_test, y_train, y_test = train_test_split(
    united_dataset.drop(TARGET_COLUMN, axis=1), united_dataset[TARGET_COLUMN], test_size=0.25
)

Wrap dataset with GiskardΒΆ

To prepare for the vulnerability scan, make sure to wrap your dataset using Giskard’s Dataset class. More details here.

[ ]:
raw_dataset = pd.concat([X_test, y_test], axis=1)
giskard_dataset = Dataset(
    df=raw_dataset,
    # A pandas.DataFrame that contains the raw data (before all the pre-processing steps) and the actual ground truth variable (target).
    target=TARGET_COLUMN,  # Ground truth variable.
    name="fraud_detection_adversarial_dataset",  # Optional.
    cat_columns=CATEGORICALS,
    # List of categorical columns. Optional, but is a MUST if available. Inferred automatically if not.
)

Model buildingΒΆ

Build estimatorΒΆ

[ ]:
# Define parameters of an estimator.
ESTIMATOR_PARAMS = {
    "num_leaves": 64,
    "objective": "binary",
    "min_data_in_leaf": 10,
    "learning_rate": 0.1,
    "feature_fraction": 0.5,
    "bagging_fraction": 0.9,
    "bagging_freq": 1,
    "max_cat_to_onehot": 128,
    "metric": "auc",
    "n_jobs": -1,
    "seed": 42,
    "subsample_for_bin": united_dataset.shape[0],
}

estimator = LGBMClassifier(**ESTIMATOR_PARAMS)
estimator.fit(X_train, y_train)

train_metric = roc_auc_score(y_train, estimator.predict_proba(X_train)[:, 1].T)
test_metric = roc_auc_score(y_test, estimator.predict_proba(X_test)[:, 1].T)

print(f"Train ROC-AUC score: {train_metric:.2f}")
print(f"Test ROC-AUC score: {test_metric:.2f}")

Wrap model with GiskardΒΆ

To prepare for the vulnerability scan, make sure to wrap your model using Giskard’s Model class. You can choose to either wrap the prediction function (preferred option) or the model object. More details here.

[9]:
def prediction_function(df: pd.DataFrame) -> np.ndarray:
    return estimator.predict_proba(df)
[ ]:
giskard_model = Model(
    model=prediction_function,
    # A prediction function that encapsulates all the data pre-processing steps and that could be executed with the dataset used by the scan.
    model_type="classification",  # Either regression, classification or text_generation.
    name="train_test_data_classifier",  # Optional.
    classification_labels=[0, 1],  # Their order MUST be identical to the prediction_function's output order.
    feature_names=X_train.columns,  # Default: all columns of your dataset.
)

# Validate wrapped model.
wrapped_test_metric = roc_auc_score(y_test, giskard_model.predict(giskard_dataset).raw[:, 1].T)
print(f"Wrapped Test ROC-AUC score: {wrapped_test_metric:.2f}")

Detect vulnerabilities in your modelΒΆ

Scan your model for vulnerabilities with GiskardΒΆ

Giskard’s scan allows you to detect vulnerabilities in your model automatically. These include performance biases, unrobustness, data leakage, stochasticity, underconfidence, ethical issues, and more. For detailed information about the scan feature, please refer to our scan documentation.

[ ]:
results = scan(giskard_model, giskard_dataset)
[12]:
display(results)

Generate comprehensive test suites automatically for your modelΒΆ

Generate test suites from the scanΒΆ

The objects produced by the scan can be used as fixtures to generate a test suite that integrate all detected vulnerabilities. Test suites allow you to evaluate and validate your model’s performance, ensuring that it behaves as expected on a set of predefined test cases, and to identify any regressions or issues that might arise during development or updates.

[13]:
test_suite = results.generate_test_suite("My first test suite")
test_suite.run()
2024-05-29 13:32:04,603 pid:62817 MainThread giskard.datasets.base INFO     Casting dataframe columns from {'TransactionAmt': 'float32', 'ProductCD': 'category', 'card1': 'int16', 'card2': 'float32', 'card3': 'float32', 'card4': 'category', 'card5': 'float32', 'card6': 'category', 'addr1': 'float32', 'addr2': 'float32', 'dist1': 'float32', 'dist2': 'float32', 'P_emaildomain': 'category', 'R_emaildomain': 'category', 'C1': 'float32', 'C2': 'float32', 'C3': 'float32', 'C4': 'float32', 'C5': 'float32', 'C6': 'float32', 'C7': 'float32', 'C8': 'float32', 'C9': 'float32', 'C10': 'float32', 'C11': 'float32', 'C12': 'float32', 'C13': 'float32', 'C14': 'float32', 'D1': 'float32', 'D2': 'float32', 'D3': 'float32', 'D4': 'float32', 'D5': 'float32', 'D6': 'float32', 'D7': 'float32', 'D8': 'float32', 'D9': 'float32', 'D10': 'float32', 'D11': 'float32', 'D12': 'float32', 'D13': 'float32', 'D14': 'float32', 'D15': 'float32', 'M1': 'category', 'M2': 'category', 'M3': 'category', 'M4': 'category', 'M5': 'category', 'M6': 'category', 'M7': 'category', 'M8': 'category', 'M9': 'category', 'V1': 'float32', 'V2': 'float32', 'V3': 'float32', 'V4': 'float32', 'V5': 'float32', 'V6': 'float32', 'V7': 'float32', 'V8': 'float32', 'V9': 'float32', 'V10': 'float32', 'V11': 'float32', 'V12': 'float32', 'V13': 'float32', 'V14': 'float32', 'V15': 'float32', 'V16': 'float32', 'V17': 'float32', 'V18': 'float32', 'V19': 'float32', 'V20': 'float32', 'V21': 'float32', 'V22': 'float32', 'V23': 'float32', 'V24': 'float32', 'V25': 'float32', 'V26': 'float32', 'V27': 'float32', 'V28': 'float32', 'V29': 'float32', 'V30': 'float32', 'V31': 'float32', 'V32': 'float32', 'V33': 'float32', 'V34': 'float32', 'V35': 'float32', 'V36': 'float32', 'V37': 'float32', 'V38': 'float32', 'V39': 'float32', 'V40': 'float32', 'V41': 'float32', 'V42': 'float32', 'V43': 'float32', 'V44': 'float32', 'V45': 'float32', 'V46': 'float32', 'V47': 'float32', 'V48': 'float32', 'V49': 'float32', 'V50': 'float32', 'V51': 'float32', 'V52': 'float32', 'V53': 'float32', 'V54': 'float32', 'V55': 'float32', 'V56': 'float32', 'V57': 'float32', 'V58': 'float32', 'V59': 'float32', 'V60': 'float32', 'V61': 'float32', 'V62': 'float32', 'V63': 'float32', 'V64': 'float32', 'V65': 'float32', 'V66': 'float32', 'V67': 'float32', 'V68': 'float32', 'V69': 'float32', 'V70': 'float32', 'V71': 'float32', 'V72': 'float32', 'V73': 'float32', 'V74': 'float32', 'V75': 'float32', 'V76': 'float32', 'V77': 'float32', 'V78': 'float32', 'V79': 'float32', 'V80': 'float32', 'V81': 'float32', 'V82': 'float32', 'V83': 'float32', 'V84': 'float32', 'V85': 'float32', 'V86': 'float32', 'V87': 'float32', 'V88': 'float32', 'V89': 'float32', 'V90': 'float32', 'V91': 'float32', 'V92': 'float32', 'V93': 'float32', 'V94': 'float32', 'V95': 'float32', 'V96': 'float32', 'V97': 'float32', 'V98': 'float32', 'V99': 'float32', 'V100': 'float32', 'V101': 'float32', 'V102': 'float32', 'V103': 'float32', 'V104': 'float32', 'V105': 'float32', 'V106': 'float32', 'V107': 'float32', 'V108': 'float32', 'V109': 'float32', 'V110': 'float32', 'V111': 'float32', 'V112': 'float32', 'V113': 'float32', 'V114': 'float32', 'V115': 'float32', 'V116': 'float32', 'V117': 'float32', 'V118': 'float32', 'V119': 'float32', 'V120': 'float32', 'V121': 'float32', 'V122': 'float32', 'V123': 'float32', 'V124': 'float32', 'V125': 'float32', 'V126': 'float32', 'V127': 'float32', 'V128': 'float32', 'V129': 'float32', 'V130': 'float32', 'V131': 'float32', 'V132': 'float32', 'V133': 'float32', 'V134': 'float32', 'V135': 'float32', 'V136': 'float32', 'V137': 'float32', 'V138': 'float32', 'V139': 'float32', 'V140': 'float32', 'V141': 'float32', 'V142': 'float32', 'V143': 'float32', 'V144': 'float32', 'V145': 'float32', 'V146': 'float32', 'V147': 'float32', 'V148': 'float32', 'V149': 'float32', 'V150': 'float32', 'V151': 'float32', 'V152': 'float32', 'V153': 'float32', 'V154': 'float32', 'V155': 'float32', 'V156': 'float32', 'V157': 'float32', 'V158': 'float32', 'V159': 'float32', 'V160': 'float32', 'V161': 'float32', 'V162': 'float32', 'V163': 'float32', 'V164': 'float32', 'V165': 'float32', 'V166': 'float32', 'V167': 'float32', 'V168': 'float32', 'V169': 'float32', 'V170': 'float32', 'V171': 'float32', 'V172': 'float32', 'V173': 'float32', 'V174': 'float32', 'V175': 'float32', 'V176': 'float32', 'V177': 'float32', 'V178': 'float32', 'V179': 'float32', 'V180': 'float32', 'V181': 'float32', 'V182': 'float32', 'V183': 'float32', 'V184': 'float32', 'V185': 'float32', 'V186': 'float32', 'V187': 'float32', 'V188': 'float32', 'V189': 'float32', 'V190': 'float32', 'V191': 'float32', 'V192': 'float32', 'V193': 'float32', 'V194': 'float32', 'V195': 'float32', 'V196': 'float32', 'V197': 'float32', 'V198': 'float32', 'V199': 'float32', 'V200': 'float32', 'V201': 'float32', 'V202': 'float32', 'V203': 'float32', 'V204': 'float32', 'V205': 'float32', 'V206': 'float32', 'V207': 'float32', 'V208': 'float32', 'V209': 'float32', 'V210': 'float32', 'V211': 'float32', 'V212': 'float32', 'V213': 'float32', 'V214': 'float32', 'V215': 'float32', 'V216': 'float32', 'V217': 'float32', 'V218': 'float32', 'V219': 'float32', 'V220': 'float32', 'V221': 'float32', 'V222': 'float32', 'V223': 'float32', 'V224': 'float32', 'V225': 'float32', 'V226': 'float32', 'V227': 'float32', 'V228': 'float32', 'V229': 'float32', 'V230': 'float32', 'V231': 'float32', 'V232': 'float32', 'V233': 'float32', 'V234': 'float32', 'V235': 'float32', 'V236': 'float32', 'V237': 'float32', 'V238': 'float32', 'V239': 'float32', 'V240': 'float32', 'V241': 'float32', 'V242': 'float32', 'V243': 'float32', 'V244': 'float32', 'V245': 'float32', 'V246': 'float32', 'V247': 'float32', 'V248': 'float32', 'V249': 'float32', 'V250': 'float32', 'V251': 'float32', 'V252': 'float32', 'V253': 'float32', 'V254': 'float32', 'V255': 'float32', 'V256': 'float32', 'V257': 'float32', 'V258': 'float32', 'V259': 'float32', 'V260': 'float32', 'V261': 'float32', 'V262': 'float32', 'V263': 'float32', 'V264': 'float32', 'V265': 'float32', 'V266': 'float32', 'V267': 'float32', 'V268': 'float32', 'V269': 'float32', 'V270': 'float32', 'V271': 'float32', 'V272': 'float32', 'V273': 'float32', 'V274': 'float32', 'V275': 'float32', 'V276': 'float32', 'V277': 'float32', 'V278': 'float32', 'V279': 'float32', 'V280': 'float32', 'V281': 'float32', 'V282': 'float32', 'V283': 'float32', 'V284': 'float32', 'V285': 'float32', 'V286': 'float32', 'V287': 'float32', 'V288': 'float32', 'V289': 'float32', 'V290': 'float32', 'V291': 'float32', 'V292': 'float32', 'V293': 'float32', 'V294': 'float32', 'V295': 'float32', 'V296': 'float32', 'V297': 'float32', 'V298': 'float32', 'V299': 'float32', 'V300': 'float32', 'V301': 'float32', 'V302': 'float32', 'V303': 'float32', 'V304': 'float32', 'V305': 'float32', 'V306': 'float32', 'V307': 'float32', 'V308': 'float32', 'V309': 'float32', 'V310': 'float32', 'V311': 'float32', 'V312': 'float32', 'V313': 'float32', 'V314': 'float32', 'V315': 'float32', 'V316': 'float32', 'V317': 'float32', 'V318': 'float32', 'V319': 'float32', 'V320': 'float32', 'V321': 'float32', 'V322': 'float32', 'V323': 'float32', 'V324': 'float32', 'V325': 'float32', 'V326': 'float32', 'V327': 'float32', 'V328': 'float32', 'V329': 'float32', 'V330': 'float32', 'V331': 'float32', 'V332': 'float32', 'V333': 'float32', 'V334': 'float32', 'V335': 'float32', 'V336': 'float32', 'V337': 'float32', 'V338': 'float32', 'V339': 'float32', 'id_01': 'float32', 'id_02': 'float32', 'id_03': 'float32', 'id_04': 'float32', 'id_05': 'float32', 'id_06': 'float32', 'id_07': 'float32', 'id_08': 'float32', 'id_09': 'float32', 'id_10': 'float32', 'id_11': 'float32', 'id_12': 'category', 'id_13': 'float32', 'id_14': 'float32', 'id_15': 'category', 'id_16': 'category', 'id_17': 'float32', 'id_18': 'float32', 'id_19': 'float32', 'id_20': 'float32', 'id_21': 'float32', 'id_22': 'float32', 'id_23': 'category', 'id_24': 'float32', 'id_25': 'float32', 'id_26': 'float32', 'id_27': 'category', 'id_28': 'category', 'id_29': 'category', 'id_30': 'category', 'id_31': 'category', 'id_32': 'float32', 'id_33': 'category', 'id_34': 'category', 'id_35': 'category', 'id_36': 'category', 'id_37': 'category', 'id_38': 'category', 'DeviceType': 'category', 'DeviceInfo': 'category', 'TimeInDay': 'int32', 'Cents': 'float32'} to {'TransactionAmt': 'float32', 'ProductCD': 'category', 'card1': 'int16', 'card2': 'float32', 'card3': 'float32', 'card4': 'category', 'card5': 'float32', 'card6': 'category', 'addr1': 'float32', 'addr2': 'float32', 'dist1': 'float32', 'dist2': 'float32', 'P_emaildomain': 'category', 'R_emaildomain': 'category', 'C1': 'float32', 'C2': 'float32', 'C3': 'float32', 'C4': 'float32', 'C5': 'float32', 'C6': 'float32', 'C7': 'float32', 'C8': 'float32', 'C9': 'float32', 'C10': 'float32', 'C11': 'float32', 'C12': 'float32', 'C13': 'float32', 'C14': 'float32', 'D1': 'float32', 'D2': 'float32', 'D3': 'float32', 'D4': 'float32', 'D5': 'float32', 'D6': 'float32', 'D7': 'float32', 'D8': 'float32', 'D9': 'float32', 'D10': 'float32', 'D11': 'float32', 'D12': 'float32', 'D13': 'float32', 'D14': 'float32', 'D15': 'float32', 'M1': 'category', 'M2': 'category', 'M3': 'category', 'M4': 'category', 'M5': 'category', 'M6': 'category', 'M7': 'category', 'M8': 'category', 'M9': 'category', 'V1': 'float32', 'V2': 'float32', 'V3': 'float32', 'V4': 'float32', 'V5': 'float32', 'V6': 'float32', 'V7': 'float32', 'V8': 'float32', 'V9': 'float32', 'V10': 'float32', 'V11': 'float32', 'V12': 'float32', 'V13': 'float32', 'V14': 'float32', 'V15': 'float32', 'V16': 'float32', 'V17': 'float32', 'V18': 'float32', 'V19': 'float32', 'V20': 'float32', 'V21': 'float32', 'V22': 'float32', 'V23': 'float32', 'V24': 'float32', 'V25': 'float32', 'V26': 'float32', 'V27': 'float32', 'V28': 'float32', 'V29': 'float32', 'V30': 'float32', 'V31': 'float32', 'V32': 'float32', 'V33': 'float32', 'V34': 'float32', 'V35': 'float32', 'V36': 'float32', 'V37': 'float32', 'V38': 'float32', 'V39': 'float32', 'V40': 'float32', 'V41': 'float32', 'V42': 'float32', 'V43': 'float32', 'V44': 'float32', 'V45': 'float32', 'V46': 'float32', 'V47': 'float32', 'V48': 'float32', 'V49': 'float32', 'V50': 'float32', 'V51': 'float32', 'V52': 'float32', 'V53': 'float32', 'V54': 'float32', 'V55': 'float32', 'V56': 'float32', 'V57': 'float32', 'V58': 'float32', 'V59': 'float32', 'V60': 'float32', 'V61': 'float32', 'V62': 'float32', 'V63': 'float32', 'V64': 'float32', 'V65': 'float32', 'V66': 'float32', 'V67': 'float32', 'V68': 'float32', 'V69': 'float32', 'V70': 'float32', 'V71': 'float32', 'V72': 'float32', 'V73': 'float32', 'V74': 'float32', 'V75': 'float32', 'V76': 'float32', 'V77': 'float32', 'V78': 'float32', 'V79': 'float32', 'V80': 'float32', 'V81': 'float32', 'V82': 'float32', 'V83': 'float32', 'V84': 'float32', 'V85': 'float32', 'V86': 'float32', 'V87': 'float32', 'V88': 'float32', 'V89': 'float32', 'V90': 'float32', 'V91': 'float32', 'V92': 'float32', 'V93': 'float32', 'V94': 'float32', 'V95': 'float32', 'V96': 'float32', 'V97': 'float32', 'V98': 'float32', 'V99': 'float32', 'V100': 'float32', 'V101': 'float32', 'V102': 'float32', 'V103': 'float32', 'V104': 'float32', 'V105': 'float32', 'V106': 'float32', 'V107': 'float32', 'V108': 'float32', 'V109': 'float32', 'V110': 'float32', 'V111': 'float32', 'V112': 'float32', 'V113': 'float32', 'V114': 'float32', 'V115': 'float32', 'V116': 'float32', 'V117': 'float32', 'V118': 'float32', 'V119': 'float32', 'V120': 'float32', 'V121': 'float32', 'V122': 'float32', 'V123': 'float32', 'V124': 'float32', 'V125': 'float32', 'V126': 'float32', 'V127': 'float32', 'V128': 'float32', 'V129': 'float32', 'V130': 'float32', 'V131': 'float32', 'V132': 'float32', 'V133': 'float32', 'V134': 'float32', 'V135': 'float32', 'V136': 'float32', 'V137': 'float32', 'V138': 'float32', 'V139': 'float32', 'V140': 'float32', 'V141': 'float32', 'V142': 'float32', 'V143': 'float32', 'V144': 'float32', 'V145': 'float32', 'V146': 'float32', 'V147': 'float32', 'V148': 'float32', 'V149': 'float32', 'V150': 'float32', 'V151': 'float32', 'V152': 'float32', 'V153': 'float32', 'V154': 'float32', 'V155': 'float32', 'V156': 'float32', 'V157': 'float32', 'V158': 'float32', 'V159': 'float32', 'V160': 'float32', 'V161': 'float32', 'V162': 'float32', 'V163': 'float32', 'V164': 'float32', 'V165': 'float32', 'V166': 'float32', 'V167': 'float32', 'V168': 'float32', 'V169': 'float32', 'V170': 'float32', 'V171': 'float32', 'V172': 'float32', 'V173': 'float32', 'V174': 'float32', 'V175': 'float32', 'V176': 'float32', 'V177': 'float32', 'V178': 'float32', 'V179': 'float32', 'V180': 'float32', 'V181': 'float32', 'V182': 'float32', 'V183': 'float32', 'V184': 'float32', 'V185': 'float32', 'V186': 'float32', 'V187': 'float32', 'V188': 'float32', 'V189': 'float32', 'V190': 'float32', 'V191': 'float32', 'V192': 'float32', 'V193': 'float32', 'V194': 'float32', 'V195': 'float32', 'V196': 'float32', 'V197': 'float32', 'V198': 'float32', 'V199': 'float32', 'V200': 'float32', 'V201': 'float32', 'V202': 'float32', 'V203': 'float32', 'V204': 'float32', 'V205': 'float32', 'V206': 'float32', 'V207': 'float32', 'V208': 'float32', 'V209': 'float32', 'V210': 'float32', 'V211': 'float32', 'V212': 'float32', 'V213': 'float32', 'V214': 'float32', 'V215': 'float32', 'V216': 'float32', 'V217': 'float32', 'V218': 'float32', 'V219': 'float32', 'V220': 'float32', 'V221': 'float32', 'V222': 'float32', 'V223': 'float32', 'V224': 'float32', 'V225': 'float32', 'V226': 'float32', 'V227': 'float32', 'V228': 'float32', 'V229': 'float32', 'V230': 'float32', 'V231': 'float32', 'V232': 'float32', 'V233': 'float32', 'V234': 'float32', 'V235': 'float32', 'V236': 'float32', 'V237': 'float32', 'V238': 'float32', 'V239': 'float32', 'V240': 'float32', 'V241': 'float32', 'V242': 'float32', 'V243': 'float32', 'V244': 'float32', 'V245': 'float32', 'V246': 'float32', 'V247': 'float32', 'V248': 'float32', 'V249': 'float32', 'V250': 'float32', 'V251': 'float32', 'V252': 'float32', 'V253': 'float32', 'V254': 'float32', 'V255': 'float32', 'V256': 'float32', 'V257': 'float32', 'V258': 'float32', 'V259': 'float32', 'V260': 'float32', 'V261': 'float32', 'V262': 'float32', 'V263': 'float32', 'V264': 'float32', 'V265': 'float32', 'V266': 'float32', 'V267': 'float32', 'V268': 'float32', 'V269': 'float32', 'V270': 'float32', 'V271': 'float32', 'V272': 'float32', 'V273': 'float32', 'V274': 'float32', 'V275': 'float32', 'V276': 'float32', 'V277': 'float32', 'V278': 'float32', 'V279': 'float32', 'V280': 'float32', 'V281': 'float32', 'V282': 'float32', 'V283': 'float32', 'V284': 'float32', 'V285': 'float32', 'V286': 'float32', 'V287': 'float32', 'V288': 'float32', 'V289': 'float32', 'V290': 'float32', 'V291': 'float32', 'V292': 'float32', 'V293': 'float32', 'V294': 'float32', 'V295': 'float32', 'V296': 'float32', 'V297': 'float32', 'V298': 'float32', 'V299': 'float32', 'V300': 'float32', 'V301': 'float32', 'V302': 'float32', 'V303': 'float32', 'V304': 'float32', 'V305': 'float32', 'V306': 'float32', 'V307': 'float32', 'V308': 'float32', 'V309': 'float32', 'V310': 'float32', 'V311': 'float32', 'V312': 'float32', 'V313': 'float32', 'V314': 'float32', 'V315': 'float32', 'V316': 'float32', 'V317': 'float32', 'V318': 'float32', 'V319': 'float32', 'V320': 'float32', 'V321': 'float32', 'V322': 'float32', 'V323': 'float32', 'V324': 'float32', 'V325': 'float32', 'V326': 'float32', 'V327': 'float32', 'V328': 'float32', 'V329': 'float32', 'V330': 'float32', 'V331': 'float32', 'V332': 'float32', 'V333': 'float32', 'V334': 'float32', 'V335': 'float32', 'V336': 'float32', 'V337': 'float32', 'V338': 'float32', 'V339': 'float32', 'id_01': 'float32', 'id_02': 'float32', 'id_03': 'float32', 'id_04': 'float32', 'id_05': 'float32', 'id_06': 'float32', 'id_07': 'float32', 'id_08': 'float32', 'id_09': 'float32', 'id_10': 'float32', 'id_11': 'float32', 'id_12': 'category', 'id_13': 'float32', 'id_14': 'float32', 'id_15': 'category', 'id_16': 'category', 'id_17': 'float32', 'id_18': 'float32', 'id_19': 'float32', 'id_20': 'float32', 'id_21': 'float32', 'id_22': 'float32', 'id_23': 'category', 'id_24': 'float32', 'id_25': 'float32', 'id_26': 'float32', 'id_27': 'category', 'id_28': 'category', 'id_29': 'category', 'id_30': 'category', 'id_31': 'category', 'id_32': 'float32', 'id_33': 'category', 'id_34': 'category', 'id_35': 'category', 'id_36': 'category', 'id_37': 'category', 'id_38': 'category', 'DeviceType': 'category', 'DeviceInfo': 'category', 'TimeInDay': 'int32', 'Cents': 'float32'}
2024-05-29 13:32:04,624 pid:62817 MainThread giskard.utils.logging_utils INFO     Predicted dataset with shape (34, 434) executed in 0:00:00.050286
Executed 'Accuracy on data slice β€œ`D3` >= 13.500”' with arguments {'model': <giskard.models.function.PredictionFunctionModel object at 0x303fbc340>, 'dataset': <giskard.datasets.base.Dataset object at 0x303fbf9a0>, 'slicing_function': <giskard.slicing.slice.QueryBasedSliceFunction object at 0x304aee5f0>, 'threshold': 0.836}:
               Test failed
               Metric: 0.68


2024-05-29 13:32:04,676 pid:62817 MainThread giskard.datasets.base INFO     Casting dataframe columns from {'TransactionAmt': 'float32', 'ProductCD': 'category', 'card1': 'int16', 'card2': 'float32', 'card3': 'float32', 'card4': 'category', 'card5': 'float32', 'card6': 'category', 'addr1': 'float32', 'addr2': 'float32', 'dist1': 'float32', 'dist2': 'float32', 'P_emaildomain': 'category', 'R_emaildomain': 'category', 'C1': 'float32', 'C2': 'float32', 'C3': 'float32', 'C4': 'float32', 'C5': 'float32', 'C6': 'float32', 'C7': 'float32', 'C8': 'float32', 'C9': 'float32', 'C10': 'float32', 'C11': 'float32', 'C12': 'float32', 'C13': 'float32', 'C14': 'float32', 'D1': 'float32', 'D2': 'float32', 'D3': 'float32', 'D4': 'float32', 'D5': 'float32', 'D6': 'float32', 'D7': 'float32', 'D8': 'float32', 'D9': 'float32', 'D10': 'float32', 'D11': 'float32', 'D12': 'float32', 'D13': 'float32', 'D14': 'float32', 'D15': 'float32', 'M1': 'category', 'M2': 'category', 'M3': 'category', 'M4': 'category', 'M5': 'category', 'M6': 'category', 'M7': 'category', 'M8': 'category', 'M9': 'category', 'V1': 'float32', 'V2': 'float32', 'V3': 'float32', 'V4': 'float32', 'V5': 'float32', 'V6': 'float32', 'V7': 'float32', 'V8': 'float32', 'V9': 'float32', 'V10': 'float32', 'V11': 'float32', 'V12': 'float32', 'V13': 'float32', 'V14': 'float32', 'V15': 'float32', 'V16': 'float32', 'V17': 'float32', 'V18': 'float32', 'V19': 'float32', 'V20': 'float32', 'V21': 'float32', 'V22': 'float32', 'V23': 'float32', 'V24': 'float32', 'V25': 'float32', 'V26': 'float32', 'V27': 'float32', 'V28': 'float32', 'V29': 'float32', 'V30': 'float32', 'V31': 'float32', 'V32': 'float32', 'V33': 'float32', 'V34': 'float32', 'V35': 'float32', 'V36': 'float32', 'V37': 'float32', 'V38': 'float32', 'V39': 'float32', 'V40': 'float32', 'V41': 'float32', 'V42': 'float32', 'V43': 'float32', 'V44': 'float32', 'V45': 'float32', 'V46': 'float32', 'V47': 'float32', 'V48': 'float32', 'V49': 'float32', 'V50': 'float32', 'V51': 'float32', 'V52': 'float32', 'V53': 'float32', 'V54': 'float32', 'V55': 'float32', 'V56': 'float32', 'V57': 'float32', 'V58': 'float32', 'V59': 'float32', 'V60': 'float32', 'V61': 'float32', 'V62': 'float32', 'V63': 'float32', 'V64': 'float32', 'V65': 'float32', 'V66': 'float32', 'V67': 'float32', 'V68': 'float32', 'V69': 'float32', 'V70': 'float32', 'V71': 'float32', 'V72': 'float32', 'V73': 'float32', 'V74': 'float32', 'V75': 'float32', 'V76': 'float32', 'V77': 'float32', 'V78': 'float32', 'V79': 'float32', 'V80': 'float32', 'V81': 'float32', 'V82': 'float32', 'V83': 'float32', 'V84': 'float32', 'V85': 'float32', 'V86': 'float32', 'V87': 'float32', 'V88': 'float32', 'V89': 'float32', 'V90': 'float32', 'V91': 'float32', 'V92': 'float32', 'V93': 'float32', 'V94': 'float32', 'V95': 'float32', 'V96': 'float32', 'V97': 'float32', 'V98': 'float32', 'V99': 'float32', 'V100': 'float32', 'V101': 'float32', 'V102': 'float32', 'V103': 'float32', 'V104': 'float32', 'V105': 'float32', 'V106': 'float32', 'V107': 'float32', 'V108': 'float32', 'V109': 'float32', 'V110': 'float32', 'V111': 'float32', 'V112': 'float32', 'V113': 'float32', 'V114': 'float32', 'V115': 'float32', 'V116': 'float32', 'V117': 'float32', 'V118': 'float32', 'V119': 'float32', 'V120': 'float32', 'V121': 'float32', 'V122': 'float32', 'V123': 'float32', 'V124': 'float32', 'V125': 'float32', 'V126': 'float32', 'V127': 'float32', 'V128': 'float32', 'V129': 'float32', 'V130': 'float32', 'V131': 'float32', 'V132': 'float32', 'V133': 'float32', 'V134': 'float32', 'V135': 'float32', 'V136': 'float32', 'V137': 'float32', 'V138': 'float32', 'V139': 'float32', 'V140': 'float32', 'V141': 'float32', 'V142': 'float32', 'V143': 'float32', 'V144': 'float32', 'V145': 'float32', 'V146': 'float32', 'V147': 'float32', 'V148': 'float32', 'V149': 'float32', 'V150': 'float32', 'V151': 'float32', 'V152': 'float32', 'V153': 'float32', 'V154': 'float32', 'V155': 'float32', 'V156': 'float32', 'V157': 'float32', 'V158': 'float32', 'V159': 'float32', 'V160': 'float32', 'V161': 'float32', 'V162': 'float32', 'V163': 'float32', 'V164': 'float32', 'V165': 'float32', 'V166': 'float32', 'V167': 'float32', 'V168': 'float32', 'V169': 'float32', 'V170': 'float32', 'V171': 'float32', 'V172': 'float32', 'V173': 'float32', 'V174': 'float32', 'V175': 'float32', 'V176': 'float32', 'V177': 'float32', 'V178': 'float32', 'V179': 'float32', 'V180': 'float32', 'V181': 'float32', 'V182': 'float32', 'V183': 'float32', 'V184': 'float32', 'V185': 'float32', 'V186': 'float32', 'V187': 'float32', 'V188': 'float32', 'V189': 'float32', 'V190': 'float32', 'V191': 'float32', 'V192': 'float32', 'V193': 'float32', 'V194': 'float32', 'V195': 'float32', 'V196': 'float32', 'V197': 'float32', 'V198': 'float32', 'V199': 'float32', 'V200': 'float32', 'V201': 'float32', 'V202': 'float32', 'V203': 'float32', 'V204': 'float32', 'V205': 'float32', 'V206': 'float32', 'V207': 'float32', 'V208': 'float32', 'V209': 'float32', 'V210': 'float32', 'V211': 'float32', 'V212': 'float32', 'V213': 'float32', 'V214': 'float32', 'V215': 'float32', 'V216': 'float32', 'V217': 'float32', 'V218': 'float32', 'V219': 'float32', 'V220': 'float32', 'V221': 'float32', 'V222': 'float32', 'V223': 'float32', 'V224': 'float32', 'V225': 'float32', 'V226': 'float32', 'V227': 'float32', 'V228': 'float32', 'V229': 'float32', 'V230': 'float32', 'V231': 'float32', 'V232': 'float32', 'V233': 'float32', 'V234': 'float32', 'V235': 'float32', 'V236': 'float32', 'V237': 'float32', 'V238': 'float32', 'V239': 'float32', 'V240': 'float32', 'V241': 'float32', 'V242': 'float32', 'V243': 'float32', 'V244': 'float32', 'V245': 'float32', 'V246': 'float32', 'V247': 'float32', 'V248': 'float32', 'V249': 'float32', 'V250': 'float32', 'V251': 'float32', 'V252': 'float32', 'V253': 'float32', 'V254': 'float32', 'V255': 'float32', 'V256': 'float32', 'V257': 'float32', 'V258': 'float32', 'V259': 'float32', 'V260': 'float32', 'V261': 'float32', 'V262': 'float32', 'V263': 'float32', 'V264': 'float32', 'V265': 'float32', 'V266': 'float32', 'V267': 'float32', 'V268': 'float32', 'V269': 'float32', 'V270': 'float32', 'V271': 'float32', 'V272': 'float32', 'V273': 'float32', 'V274': 'float32', 'V275': 'float32', 'V276': 'float32', 'V277': 'float32', 'V278': 'float32', 'V279': 'float32', 'V280': 'float32', 'V281': 'float32', 'V282': 'float32', 'V283': 'float32', 'V284': 'float32', 'V285': 'float32', 'V286': 'float32', 'V287': 'float32', 'V288': 'float32', 'V289': 'float32', 'V290': 'float32', 'V291': 'float32', 'V292': 'float32', 'V293': 'float32', 'V294': 'float32', 'V295': 'float32', 'V296': 'float32', 'V297': 'float32', 'V298': 'float32', 'V299': 'float32', 'V300': 'float32', 'V301': 'float32', 'V302': 'float32', 'V303': 'float32', 'V304': 'float32', 'V305': 'float32', 'V306': 'float32', 'V307': 'float32', 'V308': 'float32', 'V309': 'float32', 'V310': 'float32', 'V311': 'float32', 'V312': 'float32', 'V313': 'float32', 'V314': 'float32', 'V315': 'float32', 'V316': 'float32', 'V317': 'float32', 'V318': 'float32', 'V319': 'float32', 'V320': 'float32', 'V321': 'float32', 'V322': 'float32', 'V323': 'float32', 'V324': 'float32', 'V325': 'float32', 'V326': 'float32', 'V327': 'float32', 'V328': 'float32', 'V329': 'float32', 'V330': 'float32', 'V331': 'float32', 'V332': 'float32', 'V333': 'float32', 'V334': 'float32', 'V335': 'float32', 'V336': 'float32', 'V337': 'float32', 'V338': 'float32', 'V339': 'float32', 'id_01': 'float32', 'id_02': 'float32', 'id_03': 'float32', 'id_04': 'float32', 'id_05': 'float32', 'id_06': 'float32', 'id_07': 'float32', 'id_08': 'float32', 'id_09': 'float32', 'id_10': 'float32', 'id_11': 'float32', 'id_12': 'category', 'id_13': 'float32', 'id_14': 'float32', 'id_15': 'category', 'id_16': 'category', 'id_17': 'float32', 'id_18': 'float32', 'id_19': 'float32', 'id_20': 'float32', 'id_21': 'float32', 'id_22': 'float32', 'id_23': 'category', 'id_24': 'float32', 'id_25': 'float32', 'id_26': 'float32', 'id_27': 'category', 'id_28': 'category', 'id_29': 'category', 'id_30': 'category', 'id_31': 'category', 'id_32': 'float32', 'id_33': 'category', 'id_34': 'category', 'id_35': 'category', 'id_36': 'category', 'id_37': 'category', 'id_38': 'category', 'DeviceType': 'category', 'DeviceInfo': 'category', 'TimeInDay': 'int32', 'Cents': 'float32'} to {'TransactionAmt': 'float32', 'ProductCD': 'category', 'card1': 'int16', 'card2': 'float32', 'card3': 'float32', 'card4': 'category', 'card5': 'float32', 'card6': 'category', 'addr1': 'float32', 'addr2': 'float32', 'dist1': 'float32', 'dist2': 'float32', 'P_emaildomain': 'category', 'R_emaildomain': 'category', 'C1': 'float32', 'C2': 'float32', 'C3': 'float32', 'C4': 'float32', 'C5': 'float32', 'C6': 'float32', 'C7': 'float32', 'C8': 'float32', 'C9': 'float32', 'C10': 'float32', 'C11': 'float32', 'C12': 'float32', 'C13': 'float32', 'C14': 'float32', 'D1': 'float32', 'D2': 'float32', 'D3': 'float32', 'D4': 'float32', 'D5': 'float32', 'D6': 'float32', 'D7': 'float32', 'D8': 'float32', 'D9': 'float32', 'D10': 'float32', 'D11': 'float32', 'D12': 'float32', 'D13': 'float32', 'D14': 'float32', 'D15': 'float32', 'M1': 'category', 'M2': 'category', 'M3': 'category', 'M4': 'category', 'M5': 'category', 'M6': 'category', 'M7': 'category', 'M8': 'category', 'M9': 'category', 'V1': 'float32', 'V2': 'float32', 'V3': 'float32', 'V4': 'float32', 'V5': 'float32', 'V6': 'float32', 'V7': 'float32', 'V8': 'float32', 'V9': 'float32', 'V10': 'float32', 'V11': 'float32', 'V12': 'float32', 'V13': 'float32', 'V14': 'float32', 'V15': 'float32', 'V16': 'float32', 'V17': 'float32', 'V18': 'float32', 'V19': 'float32', 'V20': 'float32', 'V21': 'float32', 'V22': 'float32', 'V23': 'float32', 'V24': 'float32', 'V25': 'float32', 'V26': 'float32', 'V27': 'float32', 'V28': 'float32', 'V29': 'float32', 'V30': 'float32', 'V31': 'float32', 'V32': 'float32', 'V33': 'float32', 'V34': 'float32', 'V35': 'float32', 'V36': 'float32', 'V37': 'float32', 'V38': 'float32', 'V39': 'float32', 'V40': 'float32', 'V41': 'float32', 'V42': 'float32', 'V43': 'float32', 'V44': 'float32', 'V45': 'float32', 'V46': 'float32', 'V47': 'float32', 'V48': 'float32', 'V49': 'float32', 'V50': 'float32', 'V51': 'float32', 'V52': 'float32', 'V53': 'float32', 'V54': 'float32', 'V55': 'float32', 'V56': 'float32', 'V57': 'float32', 'V58': 'float32', 'V59': 'float32', 'V60': 'float32', 'V61': 'float32', 'V62': 'float32', 'V63': 'float32', 'V64': 'float32', 'V65': 'float32', 'V66': 'float32', 'V67': 'float32', 'V68': 'float32', 'V69': 'float32', 'V70': 'float32', 'V71': 'float32', 'V72': 'float32', 'V73': 'float32', 'V74': 'float32', 'V75': 'float32', 'V76': 'float32', 'V77': 'float32', 'V78': 'float32', 'V79': 'float32', 'V80': 'float32', 'V81': 'float32', 'V82': 'float32', 'V83': 'float32', 'V84': 'float32', 'V85': 'float32', 'V86': 'float32', 'V87': 'float32', 'V88': 'float32', 'V89': 'float32', 'V90': 'float32', 'V91': 'float32', 'V92': 'float32', 'V93': 'float32', 'V94': 'float32', 'V95': 'float32', 'V96': 'float32', 'V97': 'float32', 'V98': 'float32', 'V99': 'float32', 'V100': 'float32', 'V101': 'float32', 'V102': 'float32', 'V103': 'float32', 'V104': 'float32', 'V105': 'float32', 'V106': 'float32', 'V107': 'float32', 'V108': 'float32', 'V109': 'float32', 'V110': 'float32', 'V111': 'float32', 'V112': 'float32', 'V113': 'float32', 'V114': 'float32', 'V115': 'float32', 'V116': 'float32', 'V117': 'float32', 'V118': 'float32', 'V119': 'float32', 'V120': 'float32', 'V121': 'float32', 'V122': 'float32', 'V123': 'float32', 'V124': 'float32', 'V125': 'float32', 'V126': 'float32', 'V127': 'float32', 'V128': 'float32', 'V129': 'float32', 'V130': 'float32', 'V131': 'float32', 'V132': 'float32', 'V133': 'float32', 'V134': 'float32', 'V135': 'float32', 'V136': 'float32', 'V137': 'float32', 'V138': 'float32', 'V139': 'float32', 'V140': 'float32', 'V141': 'float32', 'V142': 'float32', 'V143': 'float32', 'V144': 'float32', 'V145': 'float32', 'V146': 'float32', 'V147': 'float32', 'V148': 'float32', 'V149': 'float32', 'V150': 'float32', 'V151': 'float32', 'V152': 'float32', 'V153': 'float32', 'V154': 'float32', 'V155': 'float32', 'V156': 'float32', 'V157': 'float32', 'V158': 'float32', 'V159': 'float32', 'V160': 'float32', 'V161': 'float32', 'V162': 'float32', 'V163': 'float32', 'V164': 'float32', 'V165': 'float32', 'V166': 'float32', 'V167': 'float32', 'V168': 'float32', 'V169': 'float32', 'V170': 'float32', 'V171': 'float32', 'V172': 'float32', 'V173': 'float32', 'V174': 'float32', 'V175': 'float32', 'V176': 'float32', 'V177': 'float32', 'V178': 'float32', 'V179': 'float32', 'V180': 'float32', 'V181': 'float32', 'V182': 'float32', 'V183': 'float32', 'V184': 'float32', 'V185': 'float32', 'V186': 'float32', 'V187': 'float32', 'V188': 'float32', 'V189': 'float32', 'V190': 'float32', 'V191': 'float32', 'V192': 'float32', 'V193': 'float32', 'V194': 'float32', 'V195': 'float32', 'V196': 'float32', 'V197': 'float32', 'V198': 'float32', 'V199': 'float32', 'V200': 'float32', 'V201': 'float32', 'V202': 'float32', 'V203': 'float32', 'V204': 'float32', 'V205': 'float32', 'V206': 'float32', 'V207': 'float32', 'V208': 'float32', 'V209': 'float32', 'V210': 'float32', 'V211': 'float32', 'V212': 'float32', 'V213': 'float32', 'V214': 'float32', 'V215': 'float32', 'V216': 'float32', 'V217': 'float32', 'V218': 'float32', 'V219': 'float32', 'V220': 'float32', 'V221': 'float32', 'V222': 'float32', 'V223': 'float32', 'V224': 'float32', 'V225': 'float32', 'V226': 'float32', 'V227': 'float32', 'V228': 'float32', 'V229': 'float32', 'V230': 'float32', 'V231': 'float32', 'V232': 'float32', 'V233': 'float32', 'V234': 'float32', 'V235': 'float32', 'V236': 'float32', 'V237': 'float32', 'V238': 'float32', 'V239': 'float32', 'V240': 'float32', 'V241': 'float32', 'V242': 'float32', 'V243': 'float32', 'V244': 'float32', 'V245': 'float32', 'V246': 'float32', 'V247': 'float32', 'V248': 'float32', 'V249': 'float32', 'V250': 'float32', 'V251': 'float32', 'V252': 'float32', 'V253': 'float32', 'V254': 'float32', 'V255': 'float32', 'V256': 'float32', 'V257': 'float32', 'V258': 'float32', 'V259': 'float32', 'V260': 'float32', 'V261': 'float32', 'V262': 'float32', 'V263': 'float32', 'V264': 'float32', 'V265': 'float32', 'V266': 'float32', 'V267': 'float32', 'V268': 'float32', 'V269': 'float32', 'V270': 'float32', 'V271': 'float32', 'V272': 'float32', 'V273': 'float32', 'V274': 'float32', 'V275': 'float32', 'V276': 'float32', 'V277': 'float32', 'V278': 'float32', 'V279': 'float32', 'V280': 'float32', 'V281': 'float32', 'V282': 'float32', 'V283': 'float32', 'V284': 'float32', 'V285': 'float32', 'V286': 'float32', 'V287': 'float32', 'V288': 'float32', 'V289': 'float32', 'V290': 'float32', 'V291': 'float32', 'V292': 'float32', 'V293': 'float32', 'V294': 'float32', 'V295': 'float32', 'V296': 'float32', 'V297': 'float32', 'V298': 'float32', 'V299': 'float32', 'V300': 'float32', 'V301': 'float32', 'V302': 'float32', 'V303': 'float32', 'V304': 'float32', 'V305': 'float32', 'V306': 'float32', 'V307': 'float32', 'V308': 'float32', 'V309': 'float32', 'V310': 'float32', 'V311': 'float32', 'V312': 'float32', 'V313': 'float32', 'V314': 'float32', 'V315': 'float32', 'V316': 'float32', 'V317': 'float32', 'V318': 'float32', 'V319': 'float32', 'V320': 'float32', 'V321': 'float32', 'V322': 'float32', 'V323': 'float32', 'V324': 'float32', 'V325': 'float32', 'V326': 'float32', 'V327': 'float32', 'V328': 'float32', 'V329': 'float32', 'V330': 'float32', 'V331': 'float32', 'V332': 'float32', 'V333': 'float32', 'V334': 'float32', 'V335': 'float32', 'V336': 'float32', 'V337': 'float32', 'V338': 'float32', 'V339': 'float32', 'id_01': 'float32', 'id_02': 'float32', 'id_03': 'float32', 'id_04': 'float32', 'id_05': 'float32', 'id_06': 'float32', 'id_07': 'float32', 'id_08': 'float32', 'id_09': 'float32', 'id_10': 'float32', 'id_11': 'float32', 'id_12': 'category', 'id_13': 'float32', 'id_14': 'float32', 'id_15': 'category', 'id_16': 'category', 'id_17': 'float32', 'id_18': 'float32', 'id_19': 'float32', 'id_20': 'float32', 'id_21': 'float32', 'id_22': 'float32', 'id_23': 'category', 'id_24': 'float32', 'id_25': 'float32', 'id_26': 'float32', 'id_27': 'category', 'id_28': 'category', 'id_29': 'category', 'id_30': 'category', 'id_31': 'category', 'id_32': 'float32', 'id_33': 'category', 'id_34': 'category', 'id_35': 'category', 'id_36': 'category', 'id_37': 'category', 'id_38': 'category', 'DeviceType': 'category', 'DeviceInfo': 'category', 'TimeInDay': 'int32', 'Cents': 'float32'}
2024-05-29 13:32:04,696 pid:62817 MainThread giskard.utils.logging_utils INFO     Predicted dataset with shape (31, 434) executed in 0:00:00.042018
Executed 'Accuracy on data slice β€œ`D5` >= 10.500”' with arguments {'model': <giskard.models.function.PredictionFunctionModel object at 0x303fbc340>, 'dataset': <giskard.datasets.base.Dataset object at 0x303fbf9a0>, 'slicing_function': <giskard.slicing.slice.QueryBasedSliceFunction object at 0x304aee0e0>, 'threshold': 0.836}:
               Test failed
               Metric: 0.68


2024-05-29 13:32:04,751 pid:62817 MainThread giskard.datasets.base INFO     Casting dataframe columns from {'TransactionAmt': 'float32', 'ProductCD': 'category', 'card1': 'int16', 'card2': 'float32', 'card3': 'float32', 'card4': 'category', 'card5': 'float32', 'card6': 'category', 'addr1': 'float32', 'addr2': 'float32', 'dist1': 'float32', 'dist2': 'float32', 'P_emaildomain': 'category', 'R_emaildomain': 'category', 'C1': 'float32', 'C2': 'float32', 'C3': 'float32', 'C4': 'float32', 'C5': 'float32', 'C6': 'float32', 'C7': 'float32', 'C8': 'float32', 'C9': 'float32', 'C10': 'float32', 'C11': 'float32', 'C12': 'float32', 'C13': 'float32', 'C14': 'float32', 'D1': 'float32', 'D2': 'float32', 'D3': 'float32', 'D4': 'float32', 'D5': 'float32', 'D6': 'float32', 'D7': 'float32', 'D8': 'float32', 'D9': 'float32', 'D10': 'float32', 'D11': 'float32', 'D12': 'float32', 'D13': 'float32', 'D14': 'float32', 'D15': 'float32', 'M1': 'category', 'M2': 'category', 'M3': 'category', 'M4': 'category', 'M5': 'category', 'M6': 'category', 'M7': 'category', 'M8': 'category', 'M9': 'category', 'V1': 'float32', 'V2': 'float32', 'V3': 'float32', 'V4': 'float32', 'V5': 'float32', 'V6': 'float32', 'V7': 'float32', 'V8': 'float32', 'V9': 'float32', 'V10': 'float32', 'V11': 'float32', 'V12': 'float32', 'V13': 'float32', 'V14': 'float32', 'V15': 'float32', 'V16': 'float32', 'V17': 'float32', 'V18': 'float32', 'V19': 'float32', 'V20': 'float32', 'V21': 'float32', 'V22': 'float32', 'V23': 'float32', 'V24': 'float32', 'V25': 'float32', 'V26': 'float32', 'V27': 'float32', 'V28': 'float32', 'V29': 'float32', 'V30': 'float32', 'V31': 'float32', 'V32': 'float32', 'V33': 'float32', 'V34': 'float32', 'V35': 'float32', 'V36': 'float32', 'V37': 'float32', 'V38': 'float32', 'V39': 'float32', 'V40': 'float32', 'V41': 'float32', 'V42': 'float32', 'V43': 'float32', 'V44': 'float32', 'V45': 'float32', 'V46': 'float32', 'V47': 'float32', 'V48': 'float32', 'V49': 'float32', 'V50': 'float32', 'V51': 'float32', 'V52': 'float32', 'V53': 'float32', 'V54': 'float32', 'V55': 'float32', 'V56': 'float32', 'V57': 'float32', 'V58': 'float32', 'V59': 'float32', 'V60': 'float32', 'V61': 'float32', 'V62': 'float32', 'V63': 'float32', 'V64': 'float32', 'V65': 'float32', 'V66': 'float32', 'V67': 'float32', 'V68': 'float32', 'V69': 'float32', 'V70': 'float32', 'V71': 'float32', 'V72': 'float32', 'V73': 'float32', 'V74': 'float32', 'V75': 'float32', 'V76': 'float32', 'V77': 'float32', 'V78': 'float32', 'V79': 'float32', 'V80': 'float32', 'V81': 'float32', 'V82': 'float32', 'V83': 'float32', 'V84': 'float32', 'V85': 'float32', 'V86': 'float32', 'V87': 'float32', 'V88': 'float32', 'V89': 'float32', 'V90': 'float32', 'V91': 'float32', 'V92': 'float32', 'V93': 'float32', 'V94': 'float32', 'V95': 'float32', 'V96': 'float32', 'V97': 'float32', 'V98': 'float32', 'V99': 'float32', 'V100': 'float32', 'V101': 'float32', 'V102': 'float32', 'V103': 'float32', 'V104': 'float32', 'V105': 'float32', 'V106': 'float32', 'V107': 'float32', 'V108': 'float32', 'V109': 'float32', 'V110': 'float32', 'V111': 'float32', 'V112': 'float32', 'V113': 'float32', 'V114': 'float32', 'V115': 'float32', 'V116': 'float32', 'V117': 'float32', 'V118': 'float32', 'V119': 'float32', 'V120': 'float32', 'V121': 'float32', 'V122': 'float32', 'V123': 'float32', 'V124': 'float32', 'V125': 'float32', 'V126': 'float32', 'V127': 'float32', 'V128': 'float32', 'V129': 'float32', 'V130': 'float32', 'V131': 'float32', 'V132': 'float32', 'V133': 'float32', 'V134': 'float32', 'V135': 'float32', 'V136': 'float32', 'V137': 'float32', 'V138': 'float32', 'V139': 'float32', 'V140': 'float32', 'V141': 'float32', 'V142': 'float32', 'V143': 'float32', 'V144': 'float32', 'V145': 'float32', 'V146': 'float32', 'V147': 'float32', 'V148': 'float32', 'V149': 'float32', 'V150': 'float32', 'V151': 'float32', 'V152': 'float32', 'V153': 'float32', 'V154': 'float32', 'V155': 'float32', 'V156': 'float32', 'V157': 'float32', 'V158': 'float32', 'V159': 'float32', 'V160': 'float32', 'V161': 'float32', 'V162': 'float32', 'V163': 'float32', 'V164': 'float32', 'V165': 'float32', 'V166': 'float32', 'V167': 'float32', 'V168': 'float32', 'V169': 'float32', 'V170': 'float32', 'V171': 'float32', 'V172': 'float32', 'V173': 'float32', 'V174': 'float32', 'V175': 'float32', 'V176': 'float32', 'V177': 'float32', 'V178': 'float32', 'V179': 'float32', 'V180': 'float32', 'V181': 'float32', 'V182': 'float32', 'V183': 'float32', 'V184': 'float32', 'V185': 'float32', 'V186': 'float32', 'V187': 'float32', 'V188': 'float32', 'V189': 'float32', 'V190': 'float32', 'V191': 'float32', 'V192': 'float32', 'V193': 'float32', 'V194': 'float32', 'V195': 'float32', 'V196': 'float32', 'V197': 'float32', 'V198': 'float32', 'V199': 'float32', 'V200': 'float32', 'V201': 'float32', 'V202': 'float32', 'V203': 'float32', 'V204': 'float32', 'V205': 'float32', 'V206': 'float32', 'V207': 'float32', 'V208': 'float32', 'V209': 'float32', 'V210': 'float32', 'V211': 'float32', 'V212': 'float32', 'V213': 'float32', 'V214': 'float32', 'V215': 'float32', 'V216': 'float32', 'V217': 'float32', 'V218': 'float32', 'V219': 'float32', 'V220': 'float32', 'V221': 'float32', 'V222': 'float32', 'V223': 'float32', 'V224': 'float32', 'V225': 'float32', 'V226': 'float32', 'V227': 'float32', 'V228': 'float32', 'V229': 'float32', 'V230': 'float32', 'V231': 'float32', 'V232': 'float32', 'V233': 'float32', 'V234': 'float32', 'V235': 'float32', 'V236': 'float32', 'V237': 'float32', 'V238': 'float32', 'V239': 'float32', 'V240': 'float32', 'V241': 'float32', 'V242': 'float32', 'V243': 'float32', 'V244': 'float32', 'V245': 'float32', 'V246': 'float32', 'V247': 'float32', 'V248': 'float32', 'V249': 'float32', 'V250': 'float32', 'V251': 'float32', 'V252': 'float32', 'V253': 'float32', 'V254': 'float32', 'V255': 'float32', 'V256': 'float32', 'V257': 'float32', 'V258': 'float32', 'V259': 'float32', 'V260': 'float32', 'V261': 'float32', 'V262': 'float32', 'V263': 'float32', 'V264': 'float32', 'V265': 'float32', 'V266': 'float32', 'V267': 'float32', 'V268': 'float32', 'V269': 'float32', 'V270': 'float32', 'V271': 'float32', 'V272': 'float32', 'V273': 'float32', 'V274': 'float32', 'V275': 'float32', 'V276': 'float32', 'V277': 'float32', 'V278': 'float32', 'V279': 'float32', 'V280': 'float32', 'V281': 'float32', 'V282': 'float32', 'V283': 'float32', 'V284': 'float32', 'V285': 'float32', 'V286': 'float32', 'V287': 'float32', 'V288': 'float32', 'V289': 'float32', 'V290': 'float32', 'V291': 'float32', 'V292': 'float32', 'V293': 'float32', 'V294': 'float32', 'V295': 'float32', 'V296': 'float32', 'V297': 'float32', 'V298': 'float32', 'V299': 'float32', 'V300': 'float32', 'V301': 'float32', 'V302': 'float32', 'V303': 'float32', 'V304': 'float32', 'V305': 'float32', 'V306': 'float32', 'V307': 'float32', 'V308': 'float32', 'V309': 'float32', 'V310': 'float32', 'V311': 'float32', 'V312': 'float32', 'V313': 'float32', 'V314': 'float32', 'V315': 'float32', 'V316': 'float32', 'V317': 'float32', 'V318': 'float32', 'V319': 'float32', 'V320': 'float32', 'V321': 'float32', 'V322': 'float32', 'V323': 'float32', 'V324': 'float32', 'V325': 'float32', 'V326': 'float32', 'V327': 'float32', 'V328': 'float32', 'V329': 'float32', 'V330': 'float32', 'V331': 'float32', 'V332': 'float32', 'V333': 'float32', 'V334': 'float32', 'V335': 'float32', 'V336': 'float32', 'V337': 'float32', 'V338': 'float32', 'V339': 'float32', 'id_01': 'float32', 'id_02': 'float32', 'id_03': 'float32', 'id_04': 'float32', 'id_05': 'float32', 'id_06': 'float32', 'id_07': 'float32', 'id_08': 'float32', 'id_09': 'float32', 'id_10': 'float32', 'id_11': 'float32', 'id_12': 'category', 'id_13': 'float32', 'id_14': 'float32', 'id_15': 'category', 'id_16': 'category', 'id_17': 'float32', 'id_18': 'float32', 'id_19': 'float32', 'id_20': 'float32', 'id_21': 'float32', 'id_22': 'float32', 'id_23': 'category', 'id_24': 'float32', 'id_25': 'float32', 'id_26': 'float32', 'id_27': 'category', 'id_28': 'category', 'id_29': 'category', 'id_30': 'category', 'id_31': 'category', 'id_32': 'float32', 'id_33': 'category', 'id_34': 'category', 'id_35': 'category', 'id_36': 'category', 'id_37': 'category', 'id_38': 'category', 'DeviceType': 'category', 'DeviceInfo': 'category', 'TimeInDay': 'int32', 'Cents': 'float32'} to {'TransactionAmt': 'float32', 'ProductCD': 'category', 'card1': 'int16', 'card2': 'float32', 'card3': 'float32', 'card4': 'category', 'card5': 'float32', 'card6': 'category', 'addr1': 'float32', 'addr2': 'float32', 'dist1': 'float32', 'dist2': 'float32', 'P_emaildomain': 'category', 'R_emaildomain': 'category', 'C1': 'float32', 'C2': 'float32', 'C3': 'float32', 'C4': 'float32', 'C5': 'float32', 'C6': 'float32', 'C7': 'float32', 'C8': 'float32', 'C9': 'float32', 'C10': 'float32', 'C11': 'float32', 'C12': 'float32', 'C13': 'float32', 'C14': 'float32', 'D1': 'float32', 'D2': 'float32', 'D3': 'float32', 'D4': 'float32', 'D5': 'float32', 'D6': 'float32', 'D7': 'float32', 'D8': 'float32', 'D9': 'float32', 'D10': 'float32', 'D11': 'float32', 'D12': 'float32', 'D13': 'float32', 'D14': 'float32', 'D15': 'float32', 'M1': 'category', 'M2': 'category', 'M3': 'category', 'M4': 'category', 'M5': 'category', 'M6': 'category', 'M7': 'category', 'M8': 'category', 'M9': 'category', 'V1': 'float32', 'V2': 'float32', 'V3': 'float32', 'V4': 'float32', 'V5': 'float32', 'V6': 'float32', 'V7': 'float32', 'V8': 'float32', 'V9': 'float32', 'V10': 'float32', 'V11': 'float32', 'V12': 'float32', 'V13': 'float32', 'V14': 'float32', 'V15': 'float32', 'V16': 'float32', 'V17': 'float32', 'V18': 'float32', 'V19': 'float32', 'V20': 'float32', 'V21': 'float32', 'V22': 'float32', 'V23': 'float32', 'V24': 'float32', 'V25': 'float32', 'V26': 'float32', 'V27': 'float32', 'V28': 'float32', 'V29': 'float32', 'V30': 'float32', 'V31': 'float32', 'V32': 'float32', 'V33': 'float32', 'V34': 'float32', 'V35': 'float32', 'V36': 'float32', 'V37': 'float32', 'V38': 'float32', 'V39': 'float32', 'V40': 'float32', 'V41': 'float32', 'V42': 'float32', 'V43': 'float32', 'V44': 'float32', 'V45': 'float32', 'V46': 'float32', 'V47': 'float32', 'V48': 'float32', 'V49': 'float32', 'V50': 'float32', 'V51': 'float32', 'V52': 'float32', 'V53': 'float32', 'V54': 'float32', 'V55': 'float32', 'V56': 'float32', 'V57': 'float32', 'V58': 'float32', 'V59': 'float32', 'V60': 'float32', 'V61': 'float32', 'V62': 'float32', 'V63': 'float32', 'V64': 'float32', 'V65': 'float32', 'V66': 'float32', 'V67': 'float32', 'V68': 'float32', 'V69': 'float32', 'V70': 'float32', 'V71': 'float32', 'V72': 'float32', 'V73': 'float32', 'V74': 'float32', 'V75': 'float32', 'V76': 'float32', 'V77': 'float32', 'V78': 'float32', 'V79': 'float32', 'V80': 'float32', 'V81': 'float32', 'V82': 'float32', 'V83': 'float32', 'V84': 'float32', 'V85': 'float32', 'V86': 'float32', 'V87': 'float32', 'V88': 'float32', 'V89': 'float32', 'V90': 'float32', 'V91': 'float32', 'V92': 'float32', 'V93': 'float32', 'V94': 'float32', 'V95': 'float32', 'V96': 'float32', 'V97': 'float32', 'V98': 'float32', 'V99': 'float32', 'V100': 'float32', 'V101': 'float32', 'V102': 'float32', 'V103': 'float32', 'V104': 'float32', 'V105': 'float32', 'V106': 'float32', 'V107': 'float32', 'V108': 'float32', 'V109': 'float32', 'V110': 'float32', 'V111': 'float32', 'V112': 'float32', 'V113': 'float32', 'V114': 'float32', 'V115': 'float32', 'V116': 'float32', 'V117': 'float32', 'V118': 'float32', 'V119': 'float32', 'V120': 'float32', 'V121': 'float32', 'V122': 'float32', 'V123': 'float32', 'V124': 'float32', 'V125': 'float32', 'V126': 'float32', 'V127': 'float32', 'V128': 'float32', 'V129': 'float32', 'V130': 'float32', 'V131': 'float32', 'V132': 'float32', 'V133': 'float32', 'V134': 'float32', 'V135': 'float32', 'V136': 'float32', 'V137': 'float32', 'V138': 'float32', 'V139': 'float32', 'V140': 'float32', 'V141': 'float32', 'V142': 'float32', 'V143': 'float32', 'V144': 'float32', 'V145': 'float32', 'V146': 'float32', 'V147': 'float32', 'V148': 'float32', 'V149': 'float32', 'V150': 'float32', 'V151': 'float32', 'V152': 'float32', 'V153': 'float32', 'V154': 'float32', 'V155': 'float32', 'V156': 'float32', 'V157': 'float32', 'V158': 'float32', 'V159': 'float32', 'V160': 'float32', 'V161': 'float32', 'V162': 'float32', 'V163': 'float32', 'V164': 'float32', 'V165': 'float32', 'V166': 'float32', 'V167': 'float32', 'V168': 'float32', 'V169': 'float32', 'V170': 'float32', 'V171': 'float32', 'V172': 'float32', 'V173': 'float32', 'V174': 'float32', 'V175': 'float32', 'V176': 'float32', 'V177': 'float32', 'V178': 'float32', 'V179': 'float32', 'V180': 'float32', 'V181': 'float32', 'V182': 'float32', 'V183': 'float32', 'V184': 'float32', 'V185': 'float32', 'V186': 'float32', 'V187': 'float32', 'V188': 'float32', 'V189': 'float32', 'V190': 'float32', 'V191': 'float32', 'V192': 'float32', 'V193': 'float32', 'V194': 'float32', 'V195': 'float32', 'V196': 'float32', 'V197': 'float32', 'V198': 'float32', 'V199': 'float32', 'V200': 'float32', 'V201': 'float32', 'V202': 'float32', 'V203': 'float32', 'V204': 'float32', 'V205': 'float32', 'V206': 'float32', 'V207': 'float32', 'V208': 'float32', 'V209': 'float32', 'V210': 'float32', 'V211': 'float32', 'V212': 'float32', 'V213': 'float32', 'V214': 'float32', 'V215': 'float32', 'V216': 'float32', 'V217': 'float32', 'V218': 'float32', 'V219': 'float32', 'V220': 'float32', 'V221': 'float32', 'V222': 'float32', 'V223': 'float32', 'V224': 'float32', 'V225': 'float32', 'V226': 'float32', 'V227': 'float32', 'V228': 'float32', 'V229': 'float32', 'V230': 'float32', 'V231': 'float32', 'V232': 'float32', 'V233': 'float32', 'V234': 'float32', 'V235': 'float32', 'V236': 'float32', 'V237': 'float32', 'V238': 'float32', 'V239': 'float32', 'V240': 'float32', 'V241': 'float32', 'V242': 'float32', 'V243': 'float32', 'V244': 'float32', 'V245': 'float32', 'V246': 'float32', 'V247': 'float32', 'V248': 'float32', 'V249': 'float32', 'V250': 'float32', 'V251': 'float32', 'V252': 'float32', 'V253': 'float32', 'V254': 'float32', 'V255': 'float32', 'V256': 'float32', 'V257': 'float32', 'V258': 'float32', 'V259': 'float32', 'V260': 'float32', 'V261': 'float32', 'V262': 'float32', 'V263': 'float32', 'V264': 'float32', 'V265': 'float32', 'V266': 'float32', 'V267': 'float32', 'V268': 'float32', 'V269': 'float32', 'V270': 'float32', 'V271': 'float32', 'V272': 'float32', 'V273': 'float32', 'V274': 'float32', 'V275': 'float32', 'V276': 'float32', 'V277': 'float32', 'V278': 'float32', 'V279': 'float32', 'V280': 'float32', 'V281': 'float32', 'V282': 'float32', 'V283': 'float32', 'V284': 'float32', 'V285': 'float32', 'V286': 'float32', 'V287': 'float32', 'V288': 'float32', 'V289': 'float32', 'V290': 'float32', 'V291': 'float32', 'V292': 'float32', 'V293': 'float32', 'V294': 'float32', 'V295': 'float32', 'V296': 'float32', 'V297': 'float32', 'V298': 'float32', 'V299': 'float32', 'V300': 'float32', 'V301': 'float32', 'V302': 'float32', 'V303': 'float32', 'V304': 'float32', 'V305': 'float32', 'V306': 'float32', 'V307': 'float32', 'V308': 'float32', 'V309': 'float32', 'V310': 'float32', 'V311': 'float32', 'V312': 'float32', 'V313': 'float32', 'V314': 'float32', 'V315': 'float32', 'V316': 'float32', 'V317': 'float32', 'V318': 'float32', 'V319': 'float32', 'V320': 'float32', 'V321': 'float32', 'V322': 'float32', 'V323': 'float32', 'V324': 'float32', 'V325': 'float32', 'V326': 'float32', 'V327': 'float32', 'V328': 'float32', 'V329': 'float32', 'V330': 'float32', 'V331': 'float32', 'V332': 'float32', 'V333': 'float32', 'V334': 'float32', 'V335': 'float32', 'V336': 'float32', 'V337': 'float32', 'V338': 'float32', 'V339': 'float32', 'id_01': 'float32', 'id_02': 'float32', 'id_03': 'float32', 'id_04': 'float32', 'id_05': 'float32', 'id_06': 'float32', 'id_07': 'float32', 'id_08': 'float32', 'id_09': 'float32', 'id_10': 'float32', 'id_11': 'float32', 'id_12': 'category', 'id_13': 'float32', 'id_14': 'float32', 'id_15': 'category', 'id_16': 'category', 'id_17': 'float32', 'id_18': 'float32', 'id_19': 'float32', 'id_20': 'float32', 'id_21': 'float32', 'id_22': 'float32', 'id_23': 'category', 'id_24': 'float32', 'id_25': 'float32', 'id_26': 'float32', 'id_27': 'category', 'id_28': 'category', 'id_29': 'category', 'id_30': 'category', 'id_31': 'category', 'id_32': 'float32', 'id_33': 'category', 'id_34': 'category', 'id_35': 'category', 'id_36': 'category', 'id_37': 'category', 'id_38': 'category', 'DeviceType': 'category', 'DeviceInfo': 'category', 'TimeInDay': 'int32', 'Cents': 'float32'}
2024-05-29 13:32:04,771 pid:62817 MainThread giskard.utils.logging_utils INFO     Predicted dataset with shape (37, 434) executed in 0:00:00.044460
Executed 'Accuracy on data slice β€œ`D11` >= 31.000”' with arguments {'model': <giskard.models.function.PredictionFunctionModel object at 0x303fbc340>, 'dataset': <giskard.datasets.base.Dataset object at 0x303fbf9a0>, 'slicing_function': <giskard.slicing.slice.QueryBasedSliceFunction object at 0x30cb9e470>, 'threshold': 0.836}:
               Test failed
               Metric: 0.7


2024-05-29 13:32:04,826 pid:62817 MainThread giskard.datasets.base INFO     Casting dataframe columns from {'TransactionAmt': 'float32', 'ProductCD': 'category', 'card1': 'int16', 'card2': 'float32', 'card3': 'float32', 'card4': 'category', 'card5': 'float32', 'card6': 'category', 'addr1': 'float32', 'addr2': 'float32', 'dist1': 'float32', 'dist2': 'float32', 'P_emaildomain': 'category', 'R_emaildomain': 'category', 'C1': 'float32', 'C2': 'float32', 'C3': 'float32', 'C4': 'float32', 'C5': 'float32', 'C6': 'float32', 'C7': 'float32', 'C8': 'float32', 'C9': 'float32', 'C10': 'float32', 'C11': 'float32', 'C12': 'float32', 'C13': 'float32', 'C14': 'float32', 'D1': 'float32', 'D2': 'float32', 'D3': 'float32', 'D4': 'float32', 'D5': 'float32', 'D6': 'float32', 'D7': 'float32', 'D8': 'float32', 'D9': 'float32', 'D10': 'float32', 'D11': 'float32', 'D12': 'float32', 'D13': 'float32', 'D14': 'float32', 'D15': 'float32', 'M1': 'category', 'M2': 'category', 'M3': 'category', 'M4': 'category', 'M5': 'category', 'M6': 'category', 'M7': 'category', 'M8': 'category', 'M9': 'category', 'V1': 'float32', 'V2': 'float32', 'V3': 'float32', 'V4': 'float32', 'V5': 'float32', 'V6': 'float32', 'V7': 'float32', 'V8': 'float32', 'V9': 'float32', 'V10': 'float32', 'V11': 'float32', 'V12': 'float32', 'V13': 'float32', 'V14': 'float32', 'V15': 'float32', 'V16': 'float32', 'V17': 'float32', 'V18': 'float32', 'V19': 'float32', 'V20': 'float32', 'V21': 'float32', 'V22': 'float32', 'V23': 'float32', 'V24': 'float32', 'V25': 'float32', 'V26': 'float32', 'V27': 'float32', 'V28': 'float32', 'V29': 'float32', 'V30': 'float32', 'V31': 'float32', 'V32': 'float32', 'V33': 'float32', 'V34': 'float32', 'V35': 'float32', 'V36': 'float32', 'V37': 'float32', 'V38': 'float32', 'V39': 'float32', 'V40': 'float32', 'V41': 'float32', 'V42': 'float32', 'V43': 'float32', 'V44': 'float32', 'V45': 'float32', 'V46': 'float32', 'V47': 'float32', 'V48': 'float32', 'V49': 'float32', 'V50': 'float32', 'V51': 'float32', 'V52': 'float32', 'V53': 'float32', 'V54': 'float32', 'V55': 'float32', 'V56': 'float32', 'V57': 'float32', 'V58': 'float32', 'V59': 'float32', 'V60': 'float32', 'V61': 'float32', 'V62': 'float32', 'V63': 'float32', 'V64': 'float32', 'V65': 'float32', 'V66': 'float32', 'V67': 'float32', 'V68': 'float32', 'V69': 'float32', 'V70': 'float32', 'V71': 'float32', 'V72': 'float32', 'V73': 'float32', 'V74': 'float32', 'V75': 'float32', 'V76': 'float32', 'V77': 'float32', 'V78': 'float32', 'V79': 'float32', 'V80': 'float32', 'V81': 'float32', 'V82': 'float32', 'V83': 'float32', 'V84': 'float32', 'V85': 'float32', 'V86': 'float32', 'V87': 'float32', 'V88': 'float32', 'V89': 'float32', 'V90': 'float32', 'V91': 'float32', 'V92': 'float32', 'V93': 'float32', 'V94': 'float32', 'V95': 'float32', 'V96': 'float32', 'V97': 'float32', 'V98': 'float32', 'V99': 'float32', 'V100': 'float32', 'V101': 'float32', 'V102': 'float32', 'V103': 'float32', 'V104': 'float32', 'V105': 'float32', 'V106': 'float32', 'V107': 'float32', 'V108': 'float32', 'V109': 'float32', 'V110': 'float32', 'V111': 'float32', 'V112': 'float32', 'V113': 'float32', 'V114': 'float32', 'V115': 'float32', 'V116': 'float32', 'V117': 'float32', 'V118': 'float32', 'V119': 'float32', 'V120': 'float32', 'V121': 'float32', 'V122': 'float32', 'V123': 'float32', 'V124': 'float32', 'V125': 'float32', 'V126': 'float32', 'V127': 'float32', 'V128': 'float32', 'V129': 'float32', 'V130': 'float32', 'V131': 'float32', 'V132': 'float32', 'V133': 'float32', 'V134': 'float32', 'V135': 'float32', 'V136': 'float32', 'V137': 'float32', 'V138': 'float32', 'V139': 'float32', 'V140': 'float32', 'V141': 'float32', 'V142': 'float32', 'V143': 'float32', 'V144': 'float32', 'V145': 'float32', 'V146': 'float32', 'V147': 'float32', 'V148': 'float32', 'V149': 'float32', 'V150': 'float32', 'V151': 'float32', 'V152': 'float32', 'V153': 'float32', 'V154': 'float32', 'V155': 'float32', 'V156': 'float32', 'V157': 'float32', 'V158': 'float32', 'V159': 'float32', 'V160': 'float32', 'V161': 'float32', 'V162': 'float32', 'V163': 'float32', 'V164': 'float32', 'V165': 'float32', 'V166': 'float32', 'V167': 'float32', 'V168': 'float32', 'V169': 'float32', 'V170': 'float32', 'V171': 'float32', 'V172': 'float32', 'V173': 'float32', 'V174': 'float32', 'V175': 'float32', 'V176': 'float32', 'V177': 'float32', 'V178': 'float32', 'V179': 'float32', 'V180': 'float32', 'V181': 'float32', 'V182': 'float32', 'V183': 'float32', 'V184': 'float32', 'V185': 'float32', 'V186': 'float32', 'V187': 'float32', 'V188': 'float32', 'V189': 'float32', 'V190': 'float32', 'V191': 'float32', 'V192': 'float32', 'V193': 'float32', 'V194': 'float32', 'V195': 'float32', 'V196': 'float32', 'V197': 'float32', 'V198': 'float32', 'V199': 'float32', 'V200': 'float32', 'V201': 'float32', 'V202': 'float32', 'V203': 'float32', 'V204': 'float32', 'V205': 'float32', 'V206': 'float32', 'V207': 'float32', 'V208': 'float32', 'V209': 'float32', 'V210': 'float32', 'V211': 'float32', 'V212': 'float32', 'V213': 'float32', 'V214': 'float32', 'V215': 'float32', 'V216': 'float32', 'V217': 'float32', 'V218': 'float32', 'V219': 'float32', 'V220': 'float32', 'V221': 'float32', 'V222': 'float32', 'V223': 'float32', 'V224': 'float32', 'V225': 'float32', 'V226': 'float32', 'V227': 'float32', 'V228': 'float32', 'V229': 'float32', 'V230': 'float32', 'V231': 'float32', 'V232': 'float32', 'V233': 'float32', 'V234': 'float32', 'V235': 'float32', 'V236': 'float32', 'V237': 'float32', 'V238': 'float32', 'V239': 'float32', 'V240': 'float32', 'V241': 'float32', 'V242': 'float32', 'V243': 'float32', 'V244': 'float32', 'V245': 'float32', 'V246': 'float32', 'V247': 'float32', 'V248': 'float32', 'V249': 'float32', 'V250': 'float32', 'V251': 'float32', 'V252': 'float32', 'V253': 'float32', 'V254': 'float32', 'V255': 'float32', 'V256': 'float32', 'V257': 'float32', 'V258': 'float32', 'V259': 'float32', 'V260': 'float32', 'V261': 'float32', 'V262': 'float32', 'V263': 'float32', 'V264': 'float32', 'V265': 'float32', 'V266': 'float32', 'V267': 'float32', 'V268': 'float32', 'V269': 'float32', 'V270': 'float32', 'V271': 'float32', 'V272': 'float32', 'V273': 'float32', 'V274': 'float32', 'V275': 'float32', 'V276': 'float32', 'V277': 'float32', 'V278': 'float32', 'V279': 'float32', 'V280': 'float32', 'V281': 'float32', 'V282': 'float32', 'V283': 'float32', 'V284': 'float32', 'V285': 'float32', 'V286': 'float32', 'V287': 'float32', 'V288': 'float32', 'V289': 'float32', 'V290': 'float32', 'V291': 'float32', 'V292': 'float32', 'V293': 'float32', 'V294': 'float32', 'V295': 'float32', 'V296': 'float32', 'V297': 'float32', 'V298': 'float32', 'V299': 'float32', 'V300': 'float32', 'V301': 'float32', 'V302': 'float32', 'V303': 'float32', 'V304': 'float32', 'V305': 'float32', 'V306': 'float32', 'V307': 'float32', 'V308': 'float32', 'V309': 'float32', 'V310': 'float32', 'V311': 'float32', 'V312': 'float32', 'V313': 'float32', 'V314': 'float32', 'V315': 'float32', 'V316': 'float32', 'V317': 'float32', 'V318': 'float32', 'V319': 'float32', 'V320': 'float32', 'V321': 'float32', 'V322': 'float32', 'V323': 'float32', 'V324': 'float32', 'V325': 'float32', 'V326': 'float32', 'V327': 'float32', 'V328': 'float32', 'V329': 'float32', 'V330': 'float32', 'V331': 'float32', 'V332': 'float32', 'V333': 'float32', 'V334': 'float32', 'V335': 'float32', 'V336': 'float32', 'V337': 'float32', 'V338': 'float32', 'V339': 'float32', 'id_01': 'float32', 'id_02': 'float32', 'id_03': 'float32', 'id_04': 'float32', 'id_05': 'float32', 'id_06': 'float32', 'id_07': 'float32', 'id_08': 'float32', 'id_09': 'float32', 'id_10': 'float32', 'id_11': 'float32', 'id_12': 'category', 'id_13': 'float32', 'id_14': 'float32', 'id_15': 'category', 'id_16': 'category', 'id_17': 'float32', 'id_18': 'float32', 'id_19': 'float32', 'id_20': 'float32', 'id_21': 'float32', 'id_22': 'float32', 'id_23': 'category', 'id_24': 'float32', 'id_25': 'float32', 'id_26': 'float32', 'id_27': 'category', 'id_28': 'category', 'id_29': 'category', 'id_30': 'category', 'id_31': 'category', 'id_32': 'float32', 'id_33': 'category', 'id_34': 'category', 'id_35': 'category', 'id_36': 'category', 'id_37': 'category', 'id_38': 'category', 'DeviceType': 'category', 'DeviceInfo': 'category', 'TimeInDay': 'int32', 'Cents': 'float32'} to {'TransactionAmt': 'float32', 'ProductCD': 'category', 'card1': 'int16', 'card2': 'float32', 'card3': 'float32', 'card4': 'category', 'card5': 'float32', 'card6': 'category', 'addr1': 'float32', 'addr2': 'float32', 'dist1': 'float32', 'dist2': 'float32', 'P_emaildomain': 'category', 'R_emaildomain': 'category', 'C1': 'float32', 'C2': 'float32', 'C3': 'float32', 'C4': 'float32', 'C5': 'float32', 'C6': 'float32', 'C7': 'float32', 'C8': 'float32', 'C9': 'float32', 'C10': 'float32', 'C11': 'float32', 'C12': 'float32', 'C13': 'float32', 'C14': 'float32', 'D1': 'float32', 'D2': 'float32', 'D3': 'float32', 'D4': 'float32', 'D5': 'float32', 'D6': 'float32', 'D7': 'float32', 'D8': 'float32', 'D9': 'float32', 'D10': 'float32', 'D11': 'float32', 'D12': 'float32', 'D13': 'float32', 'D14': 'float32', 'D15': 'float32', 'M1': 'category', 'M2': 'category', 'M3': 'category', 'M4': 'category', 'M5': 'category', 'M6': 'category', 'M7': 'category', 'M8': 'category', 'M9': 'category', 'V1': 'float32', 'V2': 'float32', 'V3': 'float32', 'V4': 'float32', 'V5': 'float32', 'V6': 'float32', 'V7': 'float32', 'V8': 'float32', 'V9': 'float32', 'V10': 'float32', 'V11': 'float32', 'V12': 'float32', 'V13': 'float32', 'V14': 'float32', 'V15': 'float32', 'V16': 'float32', 'V17': 'float32', 'V18': 'float32', 'V19': 'float32', 'V20': 'float32', 'V21': 'float32', 'V22': 'float32', 'V23': 'float32', 'V24': 'float32', 'V25': 'float32', 'V26': 'float32', 'V27': 'float32', 'V28': 'float32', 'V29': 'float32', 'V30': 'float32', 'V31': 'float32', 'V32': 'float32', 'V33': 'float32', 'V34': 'float32', 'V35': 'float32', 'V36': 'float32', 'V37': 'float32', 'V38': 'float32', 'V39': 'float32', 'V40': 'float32', 'V41': 'float32', 'V42': 'float32', 'V43': 'float32', 'V44': 'float32', 'V45': 'float32', 'V46': 'float32', 'V47': 'float32', 'V48': 'float32', 'V49': 'float32', 'V50': 'float32', 'V51': 'float32', 'V52': 'float32', 'V53': 'float32', 'V54': 'float32', 'V55': 'float32', 'V56': 'float32', 'V57': 'float32', 'V58': 'float32', 'V59': 'float32', 'V60': 'float32', 'V61': 'float32', 'V62': 'float32', 'V63': 'float32', 'V64': 'float32', 'V65': 'float32', 'V66': 'float32', 'V67': 'float32', 'V68': 'float32', 'V69': 'float32', 'V70': 'float32', 'V71': 'float32', 'V72': 'float32', 'V73': 'float32', 'V74': 'float32', 'V75': 'float32', 'V76': 'float32', 'V77': 'float32', 'V78': 'float32', 'V79': 'float32', 'V80': 'float32', 'V81': 'float32', 'V82': 'float32', 'V83': 'float32', 'V84': 'float32', 'V85': 'float32', 'V86': 'float32', 'V87': 'float32', 'V88': 'float32', 'V89': 'float32', 'V90': 'float32', 'V91': 'float32', 'V92': 'float32', 'V93': 'float32', 'V94': 'float32', 'V95': 'float32', 'V96': 'float32', 'V97': 'float32', 'V98': 'float32', 'V99': 'float32', 'V100': 'float32', 'V101': 'float32', 'V102': 'float32', 'V103': 'float32', 'V104': 'float32', 'V105': 'float32', 'V106': 'float32', 'V107': 'float32', 'V108': 'float32', 'V109': 'float32', 'V110': 'float32', 'V111': 'float32', 'V112': 'float32', 'V113': 'float32', 'V114': 'float32', 'V115': 'float32', 'V116': 'float32', 'V117': 'float32', 'V118': 'float32', 'V119': 'float32', 'V120': 'float32', 'V121': 'float32', 'V122': 'float32', 'V123': 'float32', 'V124': 'float32', 'V125': 'float32', 'V126': 'float32', 'V127': 'float32', 'V128': 'float32', 'V129': 'float32', 'V130': 'float32', 'V131': 'float32', 'V132': 'float32', 'V133': 'float32', 'V134': 'float32', 'V135': 'float32', 'V136': 'float32', 'V137': 'float32', 'V138': 'float32', 'V139': 'float32', 'V140': 'float32', 'V141': 'float32', 'V142': 'float32', 'V143': 'float32', 'V144': 'float32', 'V145': 'float32', 'V146': 'float32', 'V147': 'float32', 'V148': 'float32', 'V149': 'float32', 'V150': 'float32', 'V151': 'float32', 'V152': 'float32', 'V153': 'float32', 'V154': 'float32', 'V155': 'float32', 'V156': 'float32', 'V157': 'float32', 'V158': 'float32', 'V159': 'float32', 'V160': 'float32', 'V161': 'float32', 'V162': 'float32', 'V163': 'float32', 'V164': 'float32', 'V165': 'float32', 'V166': 'float32', 'V167': 'float32', 'V168': 'float32', 'V169': 'float32', 'V170': 'float32', 'V171': 'float32', 'V172': 'float32', 'V173': 'float32', 'V174': 'float32', 'V175': 'float32', 'V176': 'float32', 'V177': 'float32', 'V178': 'float32', 'V179': 'float32', 'V180': 'float32', 'V181': 'float32', 'V182': 'float32', 'V183': 'float32', 'V184': 'float32', 'V185': 'float32', 'V186': 'float32', 'V187': 'float32', 'V188': 'float32', 'V189': 'float32', 'V190': 'float32', 'V191': 'float32', 'V192': 'float32', 'V193': 'float32', 'V194': 'float32', 'V195': 'float32', 'V196': 'float32', 'V197': 'float32', 'V198': 'float32', 'V199': 'float32', 'V200': 'float32', 'V201': 'float32', 'V202': 'float32', 'V203': 'float32', 'V204': 'float32', 'V205': 'float32', 'V206': 'float32', 'V207': 'float32', 'V208': 'float32', 'V209': 'float32', 'V210': 'float32', 'V211': 'float32', 'V212': 'float32', 'V213': 'float32', 'V214': 'float32', 'V215': 'float32', 'V216': 'float32', 'V217': 'float32', 'V218': 'float32', 'V219': 'float32', 'V220': 'float32', 'V221': 'float32', 'V222': 'float32', 'V223': 'float32', 'V224': 'float32', 'V225': 'float32', 'V226': 'float32', 'V227': 'float32', 'V228': 'float32', 'V229': 'float32', 'V230': 'float32', 'V231': 'float32', 'V232': 'float32', 'V233': 'float32', 'V234': 'float32', 'V235': 'float32', 'V236': 'float32', 'V237': 'float32', 'V238': 'float32', 'V239': 'float32', 'V240': 'float32', 'V241': 'float32', 'V242': 'float32', 'V243': 'float32', 'V244': 'float32', 'V245': 'float32', 'V246': 'float32', 'V247': 'float32', 'V248': 'float32', 'V249': 'float32', 'V250': 'float32', 'V251': 'float32', 'V252': 'float32', 'V253': 'float32', 'V254': 'float32', 'V255': 'float32', 'V256': 'float32', 'V257': 'float32', 'V258': 'float32', 'V259': 'float32', 'V260': 'float32', 'V261': 'float32', 'V262': 'float32', 'V263': 'float32', 'V264': 'float32', 'V265': 'float32', 'V266': 'float32', 'V267': 'float32', 'V268': 'float32', 'V269': 'float32', 'V270': 'float32', 'V271': 'float32', 'V272': 'float32', 'V273': 'float32', 'V274': 'float32', 'V275': 'float32', 'V276': 'float32', 'V277': 'float32', 'V278': 'float32', 'V279': 'float32', 'V280': 'float32', 'V281': 'float32', 'V282': 'float32', 'V283': 'float32', 'V284': 'float32', 'V285': 'float32', 'V286': 'float32', 'V287': 'float32', 'V288': 'float32', 'V289': 'float32', 'V290': 'float32', 'V291': 'float32', 'V292': 'float32', 'V293': 'float32', 'V294': 'float32', 'V295': 'float32', 'V296': 'float32', 'V297': 'float32', 'V298': 'float32', 'V299': 'float32', 'V300': 'float32', 'V301': 'float32', 'V302': 'float32', 'V303': 'float32', 'V304': 'float32', 'V305': 'float32', 'V306': 'float32', 'V307': 'float32', 'V308': 'float32', 'V309': 'float32', 'V310': 'float32', 'V311': 'float32', 'V312': 'float32', 'V313': 'float32', 'V314': 'float32', 'V315': 'float32', 'V316': 'float32', 'V317': 'float32', 'V318': 'float32', 'V319': 'float32', 'V320': 'float32', 'V321': 'float32', 'V322': 'float32', 'V323': 'float32', 'V324': 'float32', 'V325': 'float32', 'V326': 'float32', 'V327': 'float32', 'V328': 'float32', 'V329': 'float32', 'V330': 'float32', 'V331': 'float32', 'V332': 'float32', 'V333': 'float32', 'V334': 'float32', 'V335': 'float32', 'V336': 'float32', 'V337': 'float32', 'V338': 'float32', 'V339': 'float32', 'id_01': 'float32', 'id_02': 'float32', 'id_03': 'float32', 'id_04': 'float32', 'id_05': 'float32', 'id_06': 'float32', 'id_07': 'float32', 'id_08': 'float32', 'id_09': 'float32', 'id_10': 'float32', 'id_11': 'float32', 'id_12': 'category', 'id_13': 'float32', 'id_14': 'float32', 'id_15': 'category', 'id_16': 'category', 'id_17': 'float32', 'id_18': 'float32', 'id_19': 'float32', 'id_20': 'float32', 'id_21': 'float32', 'id_22': 'float32', 'id_23': 'category', 'id_24': 'float32', 'id_25': 'float32', 'id_26': 'float32', 'id_27': 'category', 'id_28': 'category', 'id_29': 'category', 'id_30': 'category', 'id_31': 'category', 'id_32': 'float32', 'id_33': 'category', 'id_34': 'category', 'id_35': 'category', 'id_36': 'category', 'id_37': 'category', 'id_38': 'category', 'DeviceType': 'category', 'DeviceInfo': 'category', 'TimeInDay': 'int32', 'Cents': 'float32'}
2024-05-29 13:32:04,847 pid:62817 MainThread giskard.utils.logging_utils INFO     Predicted dataset with shape (31, 434) executed in 0:00:00.046466
Executed 'Accuracy on data slice β€œ`card1` < 12740.000 AND `card1` >= 7867.000”' with arguments {'model': <giskard.models.function.PredictionFunctionModel object at 0x303fbc340>, 'dataset': <giskard.datasets.base.Dataset object at 0x303fbf9a0>, 'slicing_function': <giskard.slicing.slice.QueryBasedSliceFunction object at 0x30be701c0>, 'threshold': 0.836}:
               Test failed
               Metric: 0.71


2024-05-29 13:32:04,982 pid:62817 MainThread giskard.datasets.base INFO     Casting dataframe columns from {'TransactionAmt': 'float32', 'ProductCD': 'category', 'card1': 'int16', 'card2': 'float32', 'card3': 'float32', 'card4': 'category', 'card5': 'float32', 'card6': 'category', 'addr1': 'float32', 'addr2': 'float32', 'dist1': 'float32', 'dist2': 'float32', 'P_emaildomain': 'category', 'R_emaildomain': 'category', 'C1': 'float32', 'C2': 'float32', 'C3': 'float32', 'C4': 'float32', 'C5': 'float32', 'C6': 'float32', 'C7': 'float32', 'C8': 'float32', 'C9': 'float32', 'C10': 'float32', 'C11': 'float32', 'C12': 'float32', 'C13': 'float32', 'C14': 'float32', 'D1': 'float32', 'D2': 'float32', 'D3': 'float32', 'D4': 'float32', 'D5': 'float32', 'D6': 'float32', 'D7': 'float32', 'D8': 'float32', 'D9': 'float32', 'D10': 'float32', 'D11': 'float32', 'D12': 'float32', 'D13': 'float32', 'D14': 'float32', 'D15': 'float32', 'M1': 'category', 'M2': 'category', 'M3': 'category', 'M4': 'category', 'M5': 'category', 'M6': 'category', 'M7': 'category', 'M8': 'category', 'M9': 'category', 'V1': 'float32', 'V2': 'float32', 'V3': 'float32', 'V4': 'float32', 'V5': 'float32', 'V6': 'float32', 'V7': 'float32', 'V8': 'float32', 'V9': 'float32', 'V10': 'float32', 'V11': 'float32', 'V12': 'float32', 'V13': 'float32', 'V14': 'float32', 'V15': 'float32', 'V16': 'float32', 'V17': 'float32', 'V18': 'float32', 'V19': 'float32', 'V20': 'float32', 'V21': 'float32', 'V22': 'float32', 'V23': 'float32', 'V24': 'float32', 'V25': 'float32', 'V26': 'float32', 'V27': 'float32', 'V28': 'float32', 'V29': 'float32', 'V30': 'float32', 'V31': 'float32', 'V32': 'float32', 'V33': 'float32', 'V34': 'float32', 'V35': 'float32', 'V36': 'float32', 'V37': 'float32', 'V38': 'float32', 'V39': 'float32', 'V40': 'float32', 'V41': 'float32', 'V42': 'float32', 'V43': 'float32', 'V44': 'float32', 'V45': 'float32', 'V46': 'float32', 'V47': 'float32', 'V48': 'float32', 'V49': 'float32', 'V50': 'float32', 'V51': 'float32', 'V52': 'float32', 'V53': 'float32', 'V54': 'float32', 'V55': 'float32', 'V56': 'float32', 'V57': 'float32', 'V58': 'float32', 'V59': 'float32', 'V60': 'float32', 'V61': 'float32', 'V62': 'float32', 'V63': 'float32', 'V64': 'float32', 'V65': 'float32', 'V66': 'float32', 'V67': 'float32', 'V68': 'float32', 'V69': 'float32', 'V70': 'float32', 'V71': 'float32', 'V72': 'float32', 'V73': 'float32', 'V74': 'float32', 'V75': 'float32', 'V76': 'float32', 'V77': 'float32', 'V78': 'float32', 'V79': 'float32', 'V80': 'float32', 'V81': 'float32', 'V82': 'float32', 'V83': 'float32', 'V84': 'float32', 'V85': 'float32', 'V86': 'float32', 'V87': 'float32', 'V88': 'float32', 'V89': 'float32', 'V90': 'float32', 'V91': 'float32', 'V92': 'float32', 'V93': 'float32', 'V94': 'float32', 'V95': 'float32', 'V96': 'float32', 'V97': 'float32', 'V98': 'float32', 'V99': 'float32', 'V100': 'float32', 'V101': 'float32', 'V102': 'float32', 'V103': 'float32', 'V104': 'float32', 'V105': 'float32', 'V106': 'float32', 'V107': 'float32', 'V108': 'float32', 'V109': 'float32', 'V110': 'float32', 'V111': 'float32', 'V112': 'float32', 'V113': 'float32', 'V114': 'float32', 'V115': 'float32', 'V116': 'float32', 'V117': 'float32', 'V118': 'float32', 'V119': 'float32', 'V120': 'float32', 'V121': 'float32', 'V122': 'float32', 'V123': 'float32', 'V124': 'float32', 'V125': 'float32', 'V126': 'float32', 'V127': 'float32', 'V128': 'float32', 'V129': 'float32', 'V130': 'float32', 'V131': 'float32', 'V132': 'float32', 'V133': 'float32', 'V134': 'float32', 'V135': 'float32', 'V136': 'float32', 'V137': 'float32', 'V138': 'float32', 'V139': 'float32', 'V140': 'float32', 'V141': 'float32', 'V142': 'float32', 'V143': 'float32', 'V144': 'float32', 'V145': 'float32', 'V146': 'float32', 'V147': 'float32', 'V148': 'float32', 'V149': 'float32', 'V150': 'float32', 'V151': 'float32', 'V152': 'float32', 'V153': 'float32', 'V154': 'float32', 'V155': 'float32', 'V156': 'float32', 'V157': 'float32', 'V158': 'float32', 'V159': 'float32', 'V160': 'float32', 'V161': 'float32', 'V162': 'float32', 'V163': 'float32', 'V164': 'float32', 'V165': 'float32', 'V166': 'float32', 'V167': 'float32', 'V168': 'float32', 'V169': 'float32', 'V170': 'float32', 'V171': 'float32', 'V172': 'float32', 'V173': 'float32', 'V174': 'float32', 'V175': 'float32', 'V176': 'float32', 'V177': 'float32', 'V178': 'float32', 'V179': 'float32', 'V180': 'float32', 'V181': 'float32', 'V182': 'float32', 'V183': 'float32', 'V184': 'float32', 'V185': 'float32', 'V186': 'float32', 'V187': 'float32', 'V188': 'float32', 'V189': 'float32', 'V190': 'float32', 'V191': 'float32', 'V192': 'float32', 'V193': 'float32', 'V194': 'float32', 'V195': 'float32', 'V196': 'float32', 'V197': 'float32', 'V198': 'float32', 'V199': 'float32', 'V200': 'float32', 'V201': 'float32', 'V202': 'float32', 'V203': 'float32', 'V204': 'float32', 'V205': 'float32', 'V206': 'float32', 'V207': 'float32', 'V208': 'float32', 'V209': 'float32', 'V210': 'float32', 'V211': 'float32', 'V212': 'float32', 'V213': 'float32', 'V214': 'float32', 'V215': 'float32', 'V216': 'float32', 'V217': 'float32', 'V218': 'float32', 'V219': 'float32', 'V220': 'float32', 'V221': 'float32', 'V222': 'float32', 'V223': 'float32', 'V224': 'float32', 'V225': 'float32', 'V226': 'float32', 'V227': 'float32', 'V228': 'float32', 'V229': 'float32', 'V230': 'float32', 'V231': 'float32', 'V232': 'float32', 'V233': 'float32', 'V234': 'float32', 'V235': 'float32', 'V236': 'float32', 'V237': 'float32', 'V238': 'float32', 'V239': 'float32', 'V240': 'float32', 'V241': 'float32', 'V242': 'float32', 'V243': 'float32', 'V244': 'float32', 'V245': 'float32', 'V246': 'float32', 'V247': 'float32', 'V248': 'float32', 'V249': 'float32', 'V250': 'float32', 'V251': 'float32', 'V252': 'float32', 'V253': 'float32', 'V254': 'float32', 'V255': 'float32', 'V256': 'float32', 'V257': 'float32', 'V258': 'float32', 'V259': 'float32', 'V260': 'float32', 'V261': 'float32', 'V262': 'float32', 'V263': 'float32', 'V264': 'float32', 'V265': 'float32', 'V266': 'float32', 'V267': 'float32', 'V268': 'float32', 'V269': 'float32', 'V270': 'float32', 'V271': 'float32', 'V272': 'float32', 'V273': 'float32', 'V274': 'float32', 'V275': 'float32', 'V276': 'float32', 'V277': 'float32', 'V278': 'float32', 'V279': 'float32', 'V280': 'float32', 'V281': 'float32', 'V282': 'float32', 'V283': 'float32', 'V284': 'float32', 'V285': 'float32', 'V286': 'float32', 'V287': 'float32', 'V288': 'float32', 'V289': 'float32', 'V290': 'float32', 'V291': 'float32', 'V292': 'float32', 'V293': 'float32', 'V294': 'float32', 'V295': 'float32', 'V296': 'float32', 'V297': 'float32', 'V298': 'float32', 'V299': 'float32', 'V300': 'float32', 'V301': 'float32', 'V302': 'float32', 'V303': 'float32', 'V304': 'float32', 'V305': 'float32', 'V306': 'float32', 'V307': 'float32', 'V308': 'float32', 'V309': 'float32', 'V310': 'float32', 'V311': 'float32', 'V312': 'float32', 'V313': 'float32', 'V314': 'float32', 'V315': 'float32', 'V316': 'float32', 'V317': 'float32', 'V318': 'float32', 'V319': 'float32', 'V320': 'float32', 'V321': 'float32', 'V322': 'float32', 'V323': 'float32', 'V324': 'float32', 'V325': 'float32', 'V326': 'float32', 'V327': 'float32', 'V328': 'float32', 'V329': 'float32', 'V330': 'float32', 'V331': 'float32', 'V332': 'float32', 'V333': 'float32', 'V334': 'float32', 'V335': 'float32', 'V336': 'float32', 'V337': 'float32', 'V338': 'float32', 'V339': 'float32', 'id_01': 'float32', 'id_02': 'float32', 'id_03': 'float32', 'id_04': 'float32', 'id_05': 'float32', 'id_06': 'float32', 'id_07': 'float32', 'id_08': 'float32', 'id_09': 'float32', 'id_10': 'float32', 'id_11': 'float32', 'id_12': 'category', 'id_13': 'float32', 'id_14': 'float32', 'id_15': 'category', 'id_16': 'category', 'id_17': 'float32', 'id_18': 'float32', 'id_19': 'float32', 'id_20': 'float32', 'id_21': 'float32', 'id_22': 'float32', 'id_23': 'category', 'id_24': 'float32', 'id_25': 'float32', 'id_26': 'float32', 'id_27': 'category', 'id_28': 'category', 'id_29': 'category', 'id_30': 'category', 'id_31': 'category', 'id_32': 'float32', 'id_33': 'category', 'id_34': 'category', 'id_35': 'category', 'id_36': 'category', 'id_37': 'category', 'id_38': 'category', 'DeviceType': 'category', 'DeviceInfo': 'category', 'TimeInDay': 'int32', 'Cents': 'float32'} to {'TransactionAmt': 'float32', 'ProductCD': 'category', 'card1': 'int16', 'card2': 'float32', 'card3': 'float32', 'card4': 'category', 'card5': 'float32', 'card6': 'category', 'addr1': 'float32', 'addr2': 'float32', 'dist1': 'float32', 'dist2': 'float32', 'P_emaildomain': 'category', 'R_emaildomain': 'category', 'C1': 'float32', 'C2': 'float32', 'C3': 'float32', 'C4': 'float32', 'C5': 'float32', 'C6': 'float32', 'C7': 'float32', 'C8': 'float32', 'C9': 'float32', 'C10': 'float32', 'C11': 'float32', 'C12': 'float32', 'C13': 'float32', 'C14': 'float32', 'D1': 'float32', 'D2': 'float32', 'D3': 'float32', 'D4': 'float32', 'D5': 'float32', 'D6': 'float32', 'D7': 'float32', 'D8': 'float32', 'D9': 'float32', 'D10': 'float32', 'D11': 'float32', 'D12': 'float32', 'D13': 'float32', 'D14': 'float32', 'D15': 'float32', 'M1': 'category', 'M2': 'category', 'M3': 'category', 'M4': 'category', 'M5': 'category', 'M6': 'category', 'M7': 'category', 'M8': 'category', 'M9': 'category', 'V1': 'float32', 'V2': 'float32', 'V3': 'float32', 'V4': 'float32', 'V5': 'float32', 'V6': 'float32', 'V7': 'float32', 'V8': 'float32', 'V9': 'float32', 'V10': 'float32', 'V11': 'float32', 'V12': 'float32', 'V13': 'float32', 'V14': 'float32', 'V15': 'float32', 'V16': 'float32', 'V17': 'float32', 'V18': 'float32', 'V19': 'float32', 'V20': 'float32', 'V21': 'float32', 'V22': 'float32', 'V23': 'float32', 'V24': 'float32', 'V25': 'float32', 'V26': 'float32', 'V27': 'float32', 'V28': 'float32', 'V29': 'float32', 'V30': 'float32', 'V31': 'float32', 'V32': 'float32', 'V33': 'float32', 'V34': 'float32', 'V35': 'float32', 'V36': 'float32', 'V37': 'float32', 'V38': 'float32', 'V39': 'float32', 'V40': 'float32', 'V41': 'float32', 'V42': 'float32', 'V43': 'float32', 'V44': 'float32', 'V45': 'float32', 'V46': 'float32', 'V47': 'float32', 'V48': 'float32', 'V49': 'float32', 'V50': 'float32', 'V51': 'float32', 'V52': 'float32', 'V53': 'float32', 'V54': 'float32', 'V55': 'float32', 'V56': 'float32', 'V57': 'float32', 'V58': 'float32', 'V59': 'float32', 'V60': 'float32', 'V61': 'float32', 'V62': 'float32', 'V63': 'float32', 'V64': 'float32', 'V65': 'float32', 'V66': 'float32', 'V67': 'float32', 'V68': 'float32', 'V69': 'float32', 'V70': 'float32', 'V71': 'float32', 'V72': 'float32', 'V73': 'float32', 'V74': 'float32', 'V75': 'float32', 'V76': 'float32', 'V77': 'float32', 'V78': 'float32', 'V79': 'float32', 'V80': 'float32', 'V81': 'float32', 'V82': 'float32', 'V83': 'float32', 'V84': 'float32', 'V85': 'float32', 'V86': 'float32', 'V87': 'float32', 'V88': 'float32', 'V89': 'float32', 'V90': 'float32', 'V91': 'float32', 'V92': 'float32', 'V93': 'float32', 'V94': 'float32', 'V95': 'float32', 'V96': 'float32', 'V97': 'float32', 'V98': 'float32', 'V99': 'float32', 'V100': 'float32', 'V101': 'float32', 'V102': 'float32', 'V103': 'float32', 'V104': 'float32', 'V105': 'float32', 'V106': 'float32', 'V107': 'float32', 'V108': 'float32', 'V109': 'float32', 'V110': 'float32', 'V111': 'float32', 'V112': 'float32', 'V113': 'float32', 'V114': 'float32', 'V115': 'float32', 'V116': 'float32', 'V117': 'float32', 'V118': 'float32', 'V119': 'float32', 'V120': 'float32', 'V121': 'float32', 'V122': 'float32', 'V123': 'float32', 'V124': 'float32', 'V125': 'float32', 'V126': 'float32', 'V127': 'float32', 'V128': 'float32', 'V129': 'float32', 'V130': 'float32', 'V131': 'float32', 'V132': 'float32', 'V133': 'float32', 'V134': 'float32', 'V135': 'float32', 'V136': 'float32', 'V137': 'float32', 'V138': 'float32', 'V139': 'float32', 'V140': 'float32', 'V141': 'float32', 'V142': 'float32', 'V143': 'float32', 'V144': 'float32', 'V145': 'float32', 'V146': 'float32', 'V147': 'float32', 'V148': 'float32', 'V149': 'float32', 'V150': 'float32', 'V151': 'float32', 'V152': 'float32', 'V153': 'float32', 'V154': 'float32', 'V155': 'float32', 'V156': 'float32', 'V157': 'float32', 'V158': 'float32', 'V159': 'float32', 'V160': 'float32', 'V161': 'float32', 'V162': 'float32', 'V163': 'float32', 'V164': 'float32', 'V165': 'float32', 'V166': 'float32', 'V167': 'float32', 'V168': 'float32', 'V169': 'float32', 'V170': 'float32', 'V171': 'float32', 'V172': 'float32', 'V173': 'float32', 'V174': 'float32', 'V175': 'float32', 'V176': 'float32', 'V177': 'float32', 'V178': 'float32', 'V179': 'float32', 'V180': 'float32', 'V181': 'float32', 'V182': 'float32', 'V183': 'float32', 'V184': 'float32', 'V185': 'float32', 'V186': 'float32', 'V187': 'float32', 'V188': 'float32', 'V189': 'float32', 'V190': 'float32', 'V191': 'float32', 'V192': 'float32', 'V193': 'float32', 'V194': 'float32', 'V195': 'float32', 'V196': 'float32', 'V197': 'float32', 'V198': 'float32', 'V199': 'float32', 'V200': 'float32', 'V201': 'float32', 'V202': 'float32', 'V203': 'float32', 'V204': 'float32', 'V205': 'float32', 'V206': 'float32', 'V207': 'float32', 'V208': 'float32', 'V209': 'float32', 'V210': 'float32', 'V211': 'float32', 'V212': 'float32', 'V213': 'float32', 'V214': 'float32', 'V215': 'float32', 'V216': 'float32', 'V217': 'float32', 'V218': 'float32', 'V219': 'float32', 'V220': 'float32', 'V221': 'float32', 'V222': 'float32', 'V223': 'float32', 'V224': 'float32', 'V225': 'float32', 'V226': 'float32', 'V227': 'float32', 'V228': 'float32', 'V229': 'float32', 'V230': 'float32', 'V231': 'float32', 'V232': 'float32', 'V233': 'float32', 'V234': 'float32', 'V235': 'float32', 'V236': 'float32', 'V237': 'float32', 'V238': 'float32', 'V239': 'float32', 'V240': 'float32', 'V241': 'float32', 'V242': 'float32', 'V243': 'float32', 'V244': 'float32', 'V245': 'float32', 'V246': 'float32', 'V247': 'float32', 'V248': 'float32', 'V249': 'float32', 'V250': 'float32', 'V251': 'float32', 'V252': 'float32', 'V253': 'float32', 'V254': 'float32', 'V255': 'float32', 'V256': 'float32', 'V257': 'float32', 'V258': 'float32', 'V259': 'float32', 'V260': 'float32', 'V261': 'float32', 'V262': 'float32', 'V263': 'float32', 'V264': 'float32', 'V265': 'float32', 'V266': 'float32', 'V267': 'float32', 'V268': 'float32', 'V269': 'float32', 'V270': 'float32', 'V271': 'float32', 'V272': 'float32', 'V273': 'float32', 'V274': 'float32', 'V275': 'float32', 'V276': 'float32', 'V277': 'float32', 'V278': 'float32', 'V279': 'float32', 'V280': 'float32', 'V281': 'float32', 'V282': 'float32', 'V283': 'float32', 'V284': 'float32', 'V285': 'float32', 'V286': 'float32', 'V287': 'float32', 'V288': 'float32', 'V289': 'float32', 'V290': 'float32', 'V291': 'float32', 'V292': 'float32', 'V293': 'float32', 'V294': 'float32', 'V295': 'float32', 'V296': 'float32', 'V297': 'float32', 'V298': 'float32', 'V299': 'float32', 'V300': 'float32', 'V301': 'float32', 'V302': 'float32', 'V303': 'float32', 'V304': 'float32', 'V305': 'float32', 'V306': 'float32', 'V307': 'float32', 'V308': 'float32', 'V309': 'float32', 'V310': 'float32', 'V311': 'float32', 'V312': 'float32', 'V313': 'float32', 'V314': 'float32', 'V315': 'float32', 'V316': 'float32', 'V317': 'float32', 'V318': 'float32', 'V319': 'float32', 'V320': 'float32', 'V321': 'float32', 'V322': 'float32', 'V323': 'float32', 'V324': 'float32', 'V325': 'float32', 'V326': 'float32', 'V327': 'float32', 'V328': 'float32', 'V329': 'float32', 'V330': 'float32', 'V331': 'float32', 'V332': 'float32', 'V333': 'float32', 'V334': 'float32', 'V335': 'float32', 'V336': 'float32', 'V337': 'float32', 'V338': 'float32', 'V339': 'float32', 'id_01': 'float32', 'id_02': 'float32', 'id_03': 'float32', 'id_04': 'float32', 'id_05': 'float32', 'id_06': 'float32', 'id_07': 'float32', 'id_08': 'float32', 'id_09': 'float32', 'id_10': 'float32', 'id_11': 'float32', 'id_12': 'category', 'id_13': 'float32', 'id_14': 'float32', 'id_15': 'category', 'id_16': 'category', 'id_17': 'float32', 'id_18': 'float32', 'id_19': 'float32', 'id_20': 'float32', 'id_21': 'float32', 'id_22': 'float32', 'id_23': 'category', 'id_24': 'float32', 'id_25': 'float32', 'id_26': 'float32', 'id_27': 'category', 'id_28': 'category', 'id_29': 'category', 'id_30': 'category', 'id_31': 'category', 'id_32': 'float32', 'id_33': 'category', 'id_34': 'category', 'id_35': 'category', 'id_36': 'category', 'id_37': 'category', 'id_38': 'category', 'DeviceType': 'category', 'DeviceInfo': 'category', 'TimeInDay': 'int32', 'Cents': 'float32'}
2024-05-29 13:32:05,004 pid:62817 MainThread giskard.utils.logging_utils INFO     Predicted dataset with shape (32, 434) executed in 0:00:00.126585
Executed 'Accuracy on data slice β€œ`M8` == "F"”' with arguments {'model': <giskard.models.function.PredictionFunctionModel object at 0x303fbc340>, 'dataset': <giskard.datasets.base.Dataset object at 0x303fbf9a0>, 'slicing_function': <giskard.slicing.slice.QueryBasedSliceFunction object at 0x30bda00d0>, 'threshold': 0.836}:
               Test failed
               Metric: 0.72


2024-05-29 13:32:05,062 pid:62817 MainThread giskard.datasets.base INFO     Casting dataframe columns from {'TransactionAmt': 'float32', 'ProductCD': 'category', 'card1': 'int16', 'card2': 'float32', 'card3': 'float32', 'card4': 'category', 'card5': 'float32', 'card6': 'category', 'addr1': 'float32', 'addr2': 'float32', 'dist1': 'float32', 'dist2': 'float32', 'P_emaildomain': 'category', 'R_emaildomain': 'category', 'C1': 'float32', 'C2': 'float32', 'C3': 'float32', 'C4': 'float32', 'C5': 'float32', 'C6': 'float32', 'C7': 'float32', 'C8': 'float32', 'C9': 'float32', 'C10': 'float32', 'C11': 'float32', 'C12': 'float32', 'C13': 'float32', 'C14': 'float32', 'D1': 'float32', 'D2': 'float32', 'D3': 'float32', 'D4': 'float32', 'D5': 'float32', 'D6': 'float32', 'D7': 'float32', 'D8': 'float32', 'D9': 'float32', 'D10': 'float32', 'D11': 'float32', 'D12': 'float32', 'D13': 'float32', 'D14': 'float32', 'D15': 'float32', 'M1': 'category', 'M2': 'category', 'M3': 'category', 'M4': 'category', 'M5': 'category', 'M6': 'category', 'M7': 'category', 'M8': 'category', 'M9': 'category', 'V1': 'float32', 'V2': 'float32', 'V3': 'float32', 'V4': 'float32', 'V5': 'float32', 'V6': 'float32', 'V7': 'float32', 'V8': 'float32', 'V9': 'float32', 'V10': 'float32', 'V11': 'float32', 'V12': 'float32', 'V13': 'float32', 'V14': 'float32', 'V15': 'float32', 'V16': 'float32', 'V17': 'float32', 'V18': 'float32', 'V19': 'float32', 'V20': 'float32', 'V21': 'float32', 'V22': 'float32', 'V23': 'float32', 'V24': 'float32', 'V25': 'float32', 'V26': 'float32', 'V27': 'float32', 'V28': 'float32', 'V29': 'float32', 'V30': 'float32', 'V31': 'float32', 'V32': 'float32', 'V33': 'float32', 'V34': 'float32', 'V35': 'float32', 'V36': 'float32', 'V37': 'float32', 'V38': 'float32', 'V39': 'float32', 'V40': 'float32', 'V41': 'float32', 'V42': 'float32', 'V43': 'float32', 'V44': 'float32', 'V45': 'float32', 'V46': 'float32', 'V47': 'float32', 'V48': 'float32', 'V49': 'float32', 'V50': 'float32', 'V51': 'float32', 'V52': 'float32', 'V53': 'float32', 'V54': 'float32', 'V55': 'float32', 'V56': 'float32', 'V57': 'float32', 'V58': 'float32', 'V59': 'float32', 'V60': 'float32', 'V61': 'float32', 'V62': 'float32', 'V63': 'float32', 'V64': 'float32', 'V65': 'float32', 'V66': 'float32', 'V67': 'float32', 'V68': 'float32', 'V69': 'float32', 'V70': 'float32', 'V71': 'float32', 'V72': 'float32', 'V73': 'float32', 'V74': 'float32', 'V75': 'float32', 'V76': 'float32', 'V77': 'float32', 'V78': 'float32', 'V79': 'float32', 'V80': 'float32', 'V81': 'float32', 'V82': 'float32', 'V83': 'float32', 'V84': 'float32', 'V85': 'float32', 'V86': 'float32', 'V87': 'float32', 'V88': 'float32', 'V89': 'float32', 'V90': 'float32', 'V91': 'float32', 'V92': 'float32', 'V93': 'float32', 'V94': 'float32', 'V95': 'float32', 'V96': 'float32', 'V97': 'float32', 'V98': 'float32', 'V99': 'float32', 'V100': 'float32', 'V101': 'float32', 'V102': 'float32', 'V103': 'float32', 'V104': 'float32', 'V105': 'float32', 'V106': 'float32', 'V107': 'float32', 'V108': 'float32', 'V109': 'float32', 'V110': 'float32', 'V111': 'float32', 'V112': 'float32', 'V113': 'float32', 'V114': 'float32', 'V115': 'float32', 'V116': 'float32', 'V117': 'float32', 'V118': 'float32', 'V119': 'float32', 'V120': 'float32', 'V121': 'float32', 'V122': 'float32', 'V123': 'float32', 'V124': 'float32', 'V125': 'float32', 'V126': 'float32', 'V127': 'float32', 'V128': 'float32', 'V129': 'float32', 'V130': 'float32', 'V131': 'float32', 'V132': 'float32', 'V133': 'float32', 'V134': 'float32', 'V135': 'float32', 'V136': 'float32', 'V137': 'float32', 'V138': 'float32', 'V139': 'float32', 'V140': 'float32', 'V141': 'float32', 'V142': 'float32', 'V143': 'float32', 'V144': 'float32', 'V145': 'float32', 'V146': 'float32', 'V147': 'float32', 'V148': 'float32', 'V149': 'float32', 'V150': 'float32', 'V151': 'float32', 'V152': 'float32', 'V153': 'float32', 'V154': 'float32', 'V155': 'float32', 'V156': 'float32', 'V157': 'float32', 'V158': 'float32', 'V159': 'float32', 'V160': 'float32', 'V161': 'float32', 'V162': 'float32', 'V163': 'float32', 'V164': 'float32', 'V165': 'float32', 'V166': 'float32', 'V167': 'float32', 'V168': 'float32', 'V169': 'float32', 'V170': 'float32', 'V171': 'float32', 'V172': 'float32', 'V173': 'float32', 'V174': 'float32', 'V175': 'float32', 'V176': 'float32', 'V177': 'float32', 'V178': 'float32', 'V179': 'float32', 'V180': 'float32', 'V181': 'float32', 'V182': 'float32', 'V183': 'float32', 'V184': 'float32', 'V185': 'float32', 'V186': 'float32', 'V187': 'float32', 'V188': 'float32', 'V189': 'float32', 'V190': 'float32', 'V191': 'float32', 'V192': 'float32', 'V193': 'float32', 'V194': 'float32', 'V195': 'float32', 'V196': 'float32', 'V197': 'float32', 'V198': 'float32', 'V199': 'float32', 'V200': 'float32', 'V201': 'float32', 'V202': 'float32', 'V203': 'float32', 'V204': 'float32', 'V205': 'float32', 'V206': 'float32', 'V207': 'float32', 'V208': 'float32', 'V209': 'float32', 'V210': 'float32', 'V211': 'float32', 'V212': 'float32', 'V213': 'float32', 'V214': 'float32', 'V215': 'float32', 'V216': 'float32', 'V217': 'float32', 'V218': 'float32', 'V219': 'float32', 'V220': 'float32', 'V221': 'float32', 'V222': 'float32', 'V223': 'float32', 'V224': 'float32', 'V225': 'float32', 'V226': 'float32', 'V227': 'float32', 'V228': 'float32', 'V229': 'float32', 'V230': 'float32', 'V231': 'float32', 'V232': 'float32', 'V233': 'float32', 'V234': 'float32', 'V235': 'float32', 'V236': 'float32', 'V237': 'float32', 'V238': 'float32', 'V239': 'float32', 'V240': 'float32', 'V241': 'float32', 'V242': 'float32', 'V243': 'float32', 'V244': 'float32', 'V245': 'float32', 'V246': 'float32', 'V247': 'float32', 'V248': 'float32', 'V249': 'float32', 'V250': 'float32', 'V251': 'float32', 'V252': 'float32', 'V253': 'float32', 'V254': 'float32', 'V255': 'float32', 'V256': 'float32', 'V257': 'float32', 'V258': 'float32', 'V259': 'float32', 'V260': 'float32', 'V261': 'float32', 'V262': 'float32', 'V263': 'float32', 'V264': 'float32', 'V265': 'float32', 'V266': 'float32', 'V267': 'float32', 'V268': 'float32', 'V269': 'float32', 'V270': 'float32', 'V271': 'float32', 'V272': 'float32', 'V273': 'float32', 'V274': 'float32', 'V275': 'float32', 'V276': 'float32', 'V277': 'float32', 'V278': 'float32', 'V279': 'float32', 'V280': 'float32', 'V281': 'float32', 'V282': 'float32', 'V283': 'float32', 'V284': 'float32', 'V285': 'float32', 'V286': 'float32', 'V287': 'float32', 'V288': 'float32', 'V289': 'float32', 'V290': 'float32', 'V291': 'float32', 'V292': 'float32', 'V293': 'float32', 'V294': 'float32', 'V295': 'float32', 'V296': 'float32', 'V297': 'float32', 'V298': 'float32', 'V299': 'float32', 'V300': 'float32', 'V301': 'float32', 'V302': 'float32', 'V303': 'float32', 'V304': 'float32', 'V305': 'float32', 'V306': 'float32', 'V307': 'float32', 'V308': 'float32', 'V309': 'float32', 'V310': 'float32', 'V311': 'float32', 'V312': 'float32', 'V313': 'float32', 'V314': 'float32', 'V315': 'float32', 'V316': 'float32', 'V317': 'float32', 'V318': 'float32', 'V319': 'float32', 'V320': 'float32', 'V321': 'float32', 'V322': 'float32', 'V323': 'float32', 'V324': 'float32', 'V325': 'float32', 'V326': 'float32', 'V327': 'float32', 'V328': 'float32', 'V329': 'float32', 'V330': 'float32', 'V331': 'float32', 'V332': 'float32', 'V333': 'float32', 'V334': 'float32', 'V335': 'float32', 'V336': 'float32', 'V337': 'float32', 'V338': 'float32', 'V339': 'float32', 'id_01': 'float32', 'id_02': 'float32', 'id_03': 'float32', 'id_04': 'float32', 'id_05': 'float32', 'id_06': 'float32', 'id_07': 'float32', 'id_08': 'float32', 'id_09': 'float32', 'id_10': 'float32', 'id_11': 'float32', 'id_12': 'category', 'id_13': 'float32', 'id_14': 'float32', 'id_15': 'category', 'id_16': 'category', 'id_17': 'float32', 'id_18': 'float32', 'id_19': 'float32', 'id_20': 'float32', 'id_21': 'float32', 'id_22': 'float32', 'id_23': 'category', 'id_24': 'float32', 'id_25': 'float32', 'id_26': 'float32', 'id_27': 'category', 'id_28': 'category', 'id_29': 'category', 'id_30': 'category', 'id_31': 'category', 'id_32': 'float32', 'id_33': 'category', 'id_34': 'category', 'id_35': 'category', 'id_36': 'category', 'id_37': 'category', 'id_38': 'category', 'DeviceType': 'category', 'DeviceInfo': 'category', 'TimeInDay': 'int32', 'Cents': 'float32'} to {'TransactionAmt': 'float32', 'ProductCD': 'category', 'card1': 'int16', 'card2': 'float32', 'card3': 'float32', 'card4': 'category', 'card5': 'float32', 'card6': 'category', 'addr1': 'float32', 'addr2': 'float32', 'dist1': 'float32', 'dist2': 'float32', 'P_emaildomain': 'category', 'R_emaildomain': 'category', 'C1': 'float32', 'C2': 'float32', 'C3': 'float32', 'C4': 'float32', 'C5': 'float32', 'C6': 'float32', 'C7': 'float32', 'C8': 'float32', 'C9': 'float32', 'C10': 'float32', 'C11': 'float32', 'C12': 'float32', 'C13': 'float32', 'C14': 'float32', 'D1': 'float32', 'D2': 'float32', 'D3': 'float32', 'D4': 'float32', 'D5': 'float32', 'D6': 'float32', 'D7': 'float32', 'D8': 'float32', 'D9': 'float32', 'D10': 'float32', 'D11': 'float32', 'D12': 'float32', 'D13': 'float32', 'D14': 'float32', 'D15': 'float32', 'M1': 'category', 'M2': 'category', 'M3': 'category', 'M4': 'category', 'M5': 'category', 'M6': 'category', 'M7': 'category', 'M8': 'category', 'M9': 'category', 'V1': 'float32', 'V2': 'float32', 'V3': 'float32', 'V4': 'float32', 'V5': 'float32', 'V6': 'float32', 'V7': 'float32', 'V8': 'float32', 'V9': 'float32', 'V10': 'float32', 'V11': 'float32', 'V12': 'float32', 'V13': 'float32', 'V14': 'float32', 'V15': 'float32', 'V16': 'float32', 'V17': 'float32', 'V18': 'float32', 'V19': 'float32', 'V20': 'float32', 'V21': 'float32', 'V22': 'float32', 'V23': 'float32', 'V24': 'float32', 'V25': 'float32', 'V26': 'float32', 'V27': 'float32', 'V28': 'float32', 'V29': 'float32', 'V30': 'float32', 'V31': 'float32', 'V32': 'float32', 'V33': 'float32', 'V34': 'float32', 'V35': 'float32', 'V36': 'float32', 'V37': 'float32', 'V38': 'float32', 'V39': 'float32', 'V40': 'float32', 'V41': 'float32', 'V42': 'float32', 'V43': 'float32', 'V44': 'float32', 'V45': 'float32', 'V46': 'float32', 'V47': 'float32', 'V48': 'float32', 'V49': 'float32', 'V50': 'float32', 'V51': 'float32', 'V52': 'float32', 'V53': 'float32', 'V54': 'float32', 'V55': 'float32', 'V56': 'float32', 'V57': 'float32', 'V58': 'float32', 'V59': 'float32', 'V60': 'float32', 'V61': 'float32', 'V62': 'float32', 'V63': 'float32', 'V64': 'float32', 'V65': 'float32', 'V66': 'float32', 'V67': 'float32', 'V68': 'float32', 'V69': 'float32', 'V70': 'float32', 'V71': 'float32', 'V72': 'float32', 'V73': 'float32', 'V74': 'float32', 'V75': 'float32', 'V76': 'float32', 'V77': 'float32', 'V78': 'float32', 'V79': 'float32', 'V80': 'float32', 'V81': 'float32', 'V82': 'float32', 'V83': 'float32', 'V84': 'float32', 'V85': 'float32', 'V86': 'float32', 'V87': 'float32', 'V88': 'float32', 'V89': 'float32', 'V90': 'float32', 'V91': 'float32', 'V92': 'float32', 'V93': 'float32', 'V94': 'float32', 'V95': 'float32', 'V96': 'float32', 'V97': 'float32', 'V98': 'float32', 'V99': 'float32', 'V100': 'float32', 'V101': 'float32', 'V102': 'float32', 'V103': 'float32', 'V104': 'float32', 'V105': 'float32', 'V106': 'float32', 'V107': 'float32', 'V108': 'float32', 'V109': 'float32', 'V110': 'float32', 'V111': 'float32', 'V112': 'float32', 'V113': 'float32', 'V114': 'float32', 'V115': 'float32', 'V116': 'float32', 'V117': 'float32', 'V118': 'float32', 'V119': 'float32', 'V120': 'float32', 'V121': 'float32', 'V122': 'float32', 'V123': 'float32', 'V124': 'float32', 'V125': 'float32', 'V126': 'float32', 'V127': 'float32', 'V128': 'float32', 'V129': 'float32', 'V130': 'float32', 'V131': 'float32', 'V132': 'float32', 'V133': 'float32', 'V134': 'float32', 'V135': 'float32', 'V136': 'float32', 'V137': 'float32', 'V138': 'float32', 'V139': 'float32', 'V140': 'float32', 'V141': 'float32', 'V142': 'float32', 'V143': 'float32', 'V144': 'float32', 'V145': 'float32', 'V146': 'float32', 'V147': 'float32', 'V148': 'float32', 'V149': 'float32', 'V150': 'float32', 'V151': 'float32', 'V152': 'float32', 'V153': 'float32', 'V154': 'float32', 'V155': 'float32', 'V156': 'float32', 'V157': 'float32', 'V158': 'float32', 'V159': 'float32', 'V160': 'float32', 'V161': 'float32', 'V162': 'float32', 'V163': 'float32', 'V164': 'float32', 'V165': 'float32', 'V166': 'float32', 'V167': 'float32', 'V168': 'float32', 'V169': 'float32', 'V170': 'float32', 'V171': 'float32', 'V172': 'float32', 'V173': 'float32', 'V174': 'float32', 'V175': 'float32', 'V176': 'float32', 'V177': 'float32', 'V178': 'float32', 'V179': 'float32', 'V180': 'float32', 'V181': 'float32', 'V182': 'float32', 'V183': 'float32', 'V184': 'float32', 'V185': 'float32', 'V186': 'float32', 'V187': 'float32', 'V188': 'float32', 'V189': 'float32', 'V190': 'float32', 'V191': 'float32', 'V192': 'float32', 'V193': 'float32', 'V194': 'float32', 'V195': 'float32', 'V196': 'float32', 'V197': 'float32', 'V198': 'float32', 'V199': 'float32', 'V200': 'float32', 'V201': 'float32', 'V202': 'float32', 'V203': 'float32', 'V204': 'float32', 'V205': 'float32', 'V206': 'float32', 'V207': 'float32', 'V208': 'float32', 'V209': 'float32', 'V210': 'float32', 'V211': 'float32', 'V212': 'float32', 'V213': 'float32', 'V214': 'float32', 'V215': 'float32', 'V216': 'float32', 'V217': 'float32', 'V218': 'float32', 'V219': 'float32', 'V220': 'float32', 'V221': 'float32', 'V222': 'float32', 'V223': 'float32', 'V224': 'float32', 'V225': 'float32', 'V226': 'float32', 'V227': 'float32', 'V228': 'float32', 'V229': 'float32', 'V230': 'float32', 'V231': 'float32', 'V232': 'float32', 'V233': 'float32', 'V234': 'float32', 'V235': 'float32', 'V236': 'float32', 'V237': 'float32', 'V238': 'float32', 'V239': 'float32', 'V240': 'float32', 'V241': 'float32', 'V242': 'float32', 'V243': 'float32', 'V244': 'float32', 'V245': 'float32', 'V246': 'float32', 'V247': 'float32', 'V248': 'float32', 'V249': 'float32', 'V250': 'float32', 'V251': 'float32', 'V252': 'float32', 'V253': 'float32', 'V254': 'float32', 'V255': 'float32', 'V256': 'float32', 'V257': 'float32', 'V258': 'float32', 'V259': 'float32', 'V260': 'float32', 'V261': 'float32', 'V262': 'float32', 'V263': 'float32', 'V264': 'float32', 'V265': 'float32', 'V266': 'float32', 'V267': 'float32', 'V268': 'float32', 'V269': 'float32', 'V270': 'float32', 'V271': 'float32', 'V272': 'float32', 'V273': 'float32', 'V274': 'float32', 'V275': 'float32', 'V276': 'float32', 'V277': 'float32', 'V278': 'float32', 'V279': 'float32', 'V280': 'float32', 'V281': 'float32', 'V282': 'float32', 'V283': 'float32', 'V284': 'float32', 'V285': 'float32', 'V286': 'float32', 'V287': 'float32', 'V288': 'float32', 'V289': 'float32', 'V290': 'float32', 'V291': 'float32', 'V292': 'float32', 'V293': 'float32', 'V294': 'float32', 'V295': 'float32', 'V296': 'float32', 'V297': 'float32', 'V298': 'float32', 'V299': 'float32', 'V300': 'float32', 'V301': 'float32', 'V302': 'float32', 'V303': 'float32', 'V304': 'float32', 'V305': 'float32', 'V306': 'float32', 'V307': 'float32', 'V308': 'float32', 'V309': 'float32', 'V310': 'float32', 'V311': 'float32', 'V312': 'float32', 'V313': 'float32', 'V314': 'float32', 'V315': 'float32', 'V316': 'float32', 'V317': 'float32', 'V318': 'float32', 'V319': 'float32', 'V320': 'float32', 'V321': 'float32', 'V322': 'float32', 'V323': 'float32', 'V324': 'float32', 'V325': 'float32', 'V326': 'float32', 'V327': 'float32', 'V328': 'float32', 'V329': 'float32', 'V330': 'float32', 'V331': 'float32', 'V332': 'float32', 'V333': 'float32', 'V334': 'float32', 'V335': 'float32', 'V336': 'float32', 'V337': 'float32', 'V338': 'float32', 'V339': 'float32', 'id_01': 'float32', 'id_02': 'float32', 'id_03': 'float32', 'id_04': 'float32', 'id_05': 'float32', 'id_06': 'float32', 'id_07': 'float32', 'id_08': 'float32', 'id_09': 'float32', 'id_10': 'float32', 'id_11': 'float32', 'id_12': 'category', 'id_13': 'float32', 'id_14': 'float32', 'id_15': 'category', 'id_16': 'category', 'id_17': 'float32', 'id_18': 'float32', 'id_19': 'float32', 'id_20': 'float32', 'id_21': 'float32', 'id_22': 'float32', 'id_23': 'category', 'id_24': 'float32', 'id_25': 'float32', 'id_26': 'float32', 'id_27': 'category', 'id_28': 'category', 'id_29': 'category', 'id_30': 'category', 'id_31': 'category', 'id_32': 'float32', 'id_33': 'category', 'id_34': 'category', 'id_35': 'category', 'id_36': 'category', 'id_37': 'category', 'id_38': 'category', 'DeviceType': 'category', 'DeviceInfo': 'category', 'TimeInDay': 'int32', 'Cents': 'float32'}
2024-05-29 13:32:05,087 pid:62817 MainThread giskard.utils.logging_utils INFO     Predicted dataset with shape (38, 434) executed in 0:00:00.051907
Executed 'Precision on data slice β€œ`D15` >= 1.000 AND `D15` < 232.500”' with arguments {'model': <giskard.models.function.PredictionFunctionModel object at 0x303fbc340>, 'dataset': <giskard.datasets.base.Dataset object at 0x303fbf9a0>, 'slicing_function': <giskard.slicing.slice.QueryBasedSliceFunction object at 0x30bdd3c70>, 'threshold': 0.7707547169811321}:
               Test failed
               Metric: 0.68


2024-05-29 13:32:05,144 pid:62817 MainThread giskard.datasets.base INFO     Casting dataframe columns from {'TransactionAmt': 'float32', 'ProductCD': 'category', 'card1': 'int16', 'card2': 'float32', 'card3': 'float32', 'card4': 'category', 'card5': 'float32', 'card6': 'category', 'addr1': 'float32', 'addr2': 'float32', 'dist1': 'float32', 'dist2': 'float32', 'P_emaildomain': 'category', 'R_emaildomain': 'category', 'C1': 'float32', 'C2': 'float32', 'C3': 'float32', 'C4': 'float32', 'C5': 'float32', 'C6': 'float32', 'C7': 'float32', 'C8': 'float32', 'C9': 'float32', 'C10': 'float32', 'C11': 'float32', 'C12': 'float32', 'C13': 'float32', 'C14': 'float32', 'D1': 'float32', 'D2': 'float32', 'D3': 'float32', 'D4': 'float32', 'D5': 'float32', 'D6': 'float32', 'D7': 'float32', 'D8': 'float32', 'D9': 'float32', 'D10': 'float32', 'D11': 'float32', 'D12': 'float32', 'D13': 'float32', 'D14': 'float32', 'D15': 'float32', 'M1': 'category', 'M2': 'category', 'M3': 'category', 'M4': 'category', 'M5': 'category', 'M6': 'category', 'M7': 'category', 'M8': 'category', 'M9': 'category', 'V1': 'float32', 'V2': 'float32', 'V3': 'float32', 'V4': 'float32', 'V5': 'float32', 'V6': 'float32', 'V7': 'float32', 'V8': 'float32', 'V9': 'float32', 'V10': 'float32', 'V11': 'float32', 'V12': 'float32', 'V13': 'float32', 'V14': 'float32', 'V15': 'float32', 'V16': 'float32', 'V17': 'float32', 'V18': 'float32', 'V19': 'float32', 'V20': 'float32', 'V21': 'float32', 'V22': 'float32', 'V23': 'float32', 'V24': 'float32', 'V25': 'float32', 'V26': 'float32', 'V27': 'float32', 'V28': 'float32', 'V29': 'float32', 'V30': 'float32', 'V31': 'float32', 'V32': 'float32', 'V33': 'float32', 'V34': 'float32', 'V35': 'float32', 'V36': 'float32', 'V37': 'float32', 'V38': 'float32', 'V39': 'float32', 'V40': 'float32', 'V41': 'float32', 'V42': 'float32', 'V43': 'float32', 'V44': 'float32', 'V45': 'float32', 'V46': 'float32', 'V47': 'float32', 'V48': 'float32', 'V49': 'float32', 'V50': 'float32', 'V51': 'float32', 'V52': 'float32', 'V53': 'float32', 'V54': 'float32', 'V55': 'float32', 'V56': 'float32', 'V57': 'float32', 'V58': 'float32', 'V59': 'float32', 'V60': 'float32', 'V61': 'float32', 'V62': 'float32', 'V63': 'float32', 'V64': 'float32', 'V65': 'float32', 'V66': 'float32', 'V67': 'float32', 'V68': 'float32', 'V69': 'float32', 'V70': 'float32', 'V71': 'float32', 'V72': 'float32', 'V73': 'float32', 'V74': 'float32', 'V75': 'float32', 'V76': 'float32', 'V77': 'float32', 'V78': 'float32', 'V79': 'float32', 'V80': 'float32', 'V81': 'float32', 'V82': 'float32', 'V83': 'float32', 'V84': 'float32', 'V85': 'float32', 'V86': 'float32', 'V87': 'float32', 'V88': 'float32', 'V89': 'float32', 'V90': 'float32', 'V91': 'float32', 'V92': 'float32', 'V93': 'float32', 'V94': 'float32', 'V95': 'float32', 'V96': 'float32', 'V97': 'float32', 'V98': 'float32', 'V99': 'float32', 'V100': 'float32', 'V101': 'float32', 'V102': 'float32', 'V103': 'float32', 'V104': 'float32', 'V105': 'float32', 'V106': 'float32', 'V107': 'float32', 'V108': 'float32', 'V109': 'float32', 'V110': 'float32', 'V111': 'float32', 'V112': 'float32', 'V113': 'float32', 'V114': 'float32', 'V115': 'float32', 'V116': 'float32', 'V117': 'float32', 'V118': 'float32', 'V119': 'float32', 'V120': 'float32', 'V121': 'float32', 'V122': 'float32', 'V123': 'float32', 'V124': 'float32', 'V125': 'float32', 'V126': 'float32', 'V127': 'float32', 'V128': 'float32', 'V129': 'float32', 'V130': 'float32', 'V131': 'float32', 'V132': 'float32', 'V133': 'float32', 'V134': 'float32', 'V135': 'float32', 'V136': 'float32', 'V137': 'float32', 'V138': 'float32', 'V139': 'float32', 'V140': 'float32', 'V141': 'float32', 'V142': 'float32', 'V143': 'float32', 'V144': 'float32', 'V145': 'float32', 'V146': 'float32', 'V147': 'float32', 'V148': 'float32', 'V149': 'float32', 'V150': 'float32', 'V151': 'float32', 'V152': 'float32', 'V153': 'float32', 'V154': 'float32', 'V155': 'float32', 'V156': 'float32', 'V157': 'float32', 'V158': 'float32', 'V159': 'float32', 'V160': 'float32', 'V161': 'float32', 'V162': 'float32', 'V163': 'float32', 'V164': 'float32', 'V165': 'float32', 'V166': 'float32', 'V167': 'float32', 'V168': 'float32', 'V169': 'float32', 'V170': 'float32', 'V171': 'float32', 'V172': 'float32', 'V173': 'float32', 'V174': 'float32', 'V175': 'float32', 'V176': 'float32', 'V177': 'float32', 'V178': 'float32', 'V179': 'float32', 'V180': 'float32', 'V181': 'float32', 'V182': 'float32', 'V183': 'float32', 'V184': 'float32', 'V185': 'float32', 'V186': 'float32', 'V187': 'float32', 'V188': 'float32', 'V189': 'float32', 'V190': 'float32', 'V191': 'float32', 'V192': 'float32', 'V193': 'float32', 'V194': 'float32', 'V195': 'float32', 'V196': 'float32', 'V197': 'float32', 'V198': 'float32', 'V199': 'float32', 'V200': 'float32', 'V201': 'float32', 'V202': 'float32', 'V203': 'float32', 'V204': 'float32', 'V205': 'float32', 'V206': 'float32', 'V207': 'float32', 'V208': 'float32', 'V209': 'float32', 'V210': 'float32', 'V211': 'float32', 'V212': 'float32', 'V213': 'float32', 'V214': 'float32', 'V215': 'float32', 'V216': 'float32', 'V217': 'float32', 'V218': 'float32', 'V219': 'float32', 'V220': 'float32', 'V221': 'float32', 'V222': 'float32', 'V223': 'float32', 'V224': 'float32', 'V225': 'float32', 'V226': 'float32', 'V227': 'float32', 'V228': 'float32', 'V229': 'float32', 'V230': 'float32', 'V231': 'float32', 'V232': 'float32', 'V233': 'float32', 'V234': 'float32', 'V235': 'float32', 'V236': 'float32', 'V237': 'float32', 'V238': 'float32', 'V239': 'float32', 'V240': 'float32', 'V241': 'float32', 'V242': 'float32', 'V243': 'float32', 'V244': 'float32', 'V245': 'float32', 'V246': 'float32', 'V247': 'float32', 'V248': 'float32', 'V249': 'float32', 'V250': 'float32', 'V251': 'float32', 'V252': 'float32', 'V253': 'float32', 'V254': 'float32', 'V255': 'float32', 'V256': 'float32', 'V257': 'float32', 'V258': 'float32', 'V259': 'float32', 'V260': 'float32', 'V261': 'float32', 'V262': 'float32', 'V263': 'float32', 'V264': 'float32', 'V265': 'float32', 'V266': 'float32', 'V267': 'float32', 'V268': 'float32', 'V269': 'float32', 'V270': 'float32', 'V271': 'float32', 'V272': 'float32', 'V273': 'float32', 'V274': 'float32', 'V275': 'float32', 'V276': 'float32', 'V277': 'float32', 'V278': 'float32', 'V279': 'float32', 'V280': 'float32', 'V281': 'float32', 'V282': 'float32', 'V283': 'float32', 'V284': 'float32', 'V285': 'float32', 'V286': 'float32', 'V287': 'float32', 'V288': 'float32', 'V289': 'float32', 'V290': 'float32', 'V291': 'float32', 'V292': 'float32', 'V293': 'float32', 'V294': 'float32', 'V295': 'float32', 'V296': 'float32', 'V297': 'float32', 'V298': 'float32', 'V299': 'float32', 'V300': 'float32', 'V301': 'float32', 'V302': 'float32', 'V303': 'float32', 'V304': 'float32', 'V305': 'float32', 'V306': 'float32', 'V307': 'float32', 'V308': 'float32', 'V309': 'float32', 'V310': 'float32', 'V311': 'float32', 'V312': 'float32', 'V313': 'float32', 'V314': 'float32', 'V315': 'float32', 'V316': 'float32', 'V317': 'float32', 'V318': 'float32', 'V319': 'float32', 'V320': 'float32', 'V321': 'float32', 'V322': 'float32', 'V323': 'float32', 'V324': 'float32', 'V325': 'float32', 'V326': 'float32', 'V327': 'float32', 'V328': 'float32', 'V329': 'float32', 'V330': 'float32', 'V331': 'float32', 'V332': 'float32', 'V333': 'float32', 'V334': 'float32', 'V335': 'float32', 'V336': 'float32', 'V337': 'float32', 'V338': 'float32', 'V339': 'float32', 'id_01': 'float32', 'id_02': 'float32', 'id_03': 'float32', 'id_04': 'float32', 'id_05': 'float32', 'id_06': 'float32', 'id_07': 'float32', 'id_08': 'float32', 'id_09': 'float32', 'id_10': 'float32', 'id_11': 'float32', 'id_12': 'category', 'id_13': 'float32', 'id_14': 'float32', 'id_15': 'category', 'id_16': 'category', 'id_17': 'float32', 'id_18': 'float32', 'id_19': 'float32', 'id_20': 'float32', 'id_21': 'float32', 'id_22': 'float32', 'id_23': 'category', 'id_24': 'float32', 'id_25': 'float32', 'id_26': 'float32', 'id_27': 'category', 'id_28': 'category', 'id_29': 'category', 'id_30': 'category', 'id_31': 'category', 'id_32': 'float32', 'id_33': 'category', 'id_34': 'category', 'id_35': 'category', 'id_36': 'category', 'id_37': 'category', 'id_38': 'category', 'DeviceType': 'category', 'DeviceInfo': 'category', 'TimeInDay': 'int32', 'Cents': 'float32'} to {'TransactionAmt': 'float32', 'ProductCD': 'category', 'card1': 'int16', 'card2': 'float32', 'card3': 'float32', 'card4': 'category', 'card5': 'float32', 'card6': 'category', 'addr1': 'float32', 'addr2': 'float32', 'dist1': 'float32', 'dist2': 'float32', 'P_emaildomain': 'category', 'R_emaildomain': 'category', 'C1': 'float32', 'C2': 'float32', 'C3': 'float32', 'C4': 'float32', 'C5': 'float32', 'C6': 'float32', 'C7': 'float32', 'C8': 'float32', 'C9': 'float32', 'C10': 'float32', 'C11': 'float32', 'C12': 'float32', 'C13': 'float32', 'C14': 'float32', 'D1': 'float32', 'D2': 'float32', 'D3': 'float32', 'D4': 'float32', 'D5': 'float32', 'D6': 'float32', 'D7': 'float32', 'D8': 'float32', 'D9': 'float32', 'D10': 'float32', 'D11': 'float32', 'D12': 'float32', 'D13': 'float32', 'D14': 'float32', 'D15': 'float32', 'M1': 'category', 'M2': 'category', 'M3': 'category', 'M4': 'category', 'M5': 'category', 'M6': 'category', 'M7': 'category', 'M8': 'category', 'M9': 'category', 'V1': 'float32', 'V2': 'float32', 'V3': 'float32', 'V4': 'float32', 'V5': 'float32', 'V6': 'float32', 'V7': 'float32', 'V8': 'float32', 'V9': 'float32', 'V10': 'float32', 'V11': 'float32', 'V12': 'float32', 'V13': 'float32', 'V14': 'float32', 'V15': 'float32', 'V16': 'float32', 'V17': 'float32', 'V18': 'float32', 'V19': 'float32', 'V20': 'float32', 'V21': 'float32', 'V22': 'float32', 'V23': 'float32', 'V24': 'float32', 'V25': 'float32', 'V26': 'float32', 'V27': 'float32', 'V28': 'float32', 'V29': 'float32', 'V30': 'float32', 'V31': 'float32', 'V32': 'float32', 'V33': 'float32', 'V34': 'float32', 'V35': 'float32', 'V36': 'float32', 'V37': 'float32', 'V38': 'float32', 'V39': 'float32', 'V40': 'float32', 'V41': 'float32', 'V42': 'float32', 'V43': 'float32', 'V44': 'float32', 'V45': 'float32', 'V46': 'float32', 'V47': 'float32', 'V48': 'float32', 'V49': 'float32', 'V50': 'float32', 'V51': 'float32', 'V52': 'float32', 'V53': 'float32', 'V54': 'float32', 'V55': 'float32', 'V56': 'float32', 'V57': 'float32', 'V58': 'float32', 'V59': 'float32', 'V60': 'float32', 'V61': 'float32', 'V62': 'float32', 'V63': 'float32', 'V64': 'float32', 'V65': 'float32', 'V66': 'float32', 'V67': 'float32', 'V68': 'float32', 'V69': 'float32', 'V70': 'float32', 'V71': 'float32', 'V72': 'float32', 'V73': 'float32', 'V74': 'float32', 'V75': 'float32', 'V76': 'float32', 'V77': 'float32', 'V78': 'float32', 'V79': 'float32', 'V80': 'float32', 'V81': 'float32', 'V82': 'float32', 'V83': 'float32', 'V84': 'float32', 'V85': 'float32', 'V86': 'float32', 'V87': 'float32', 'V88': 'float32', 'V89': 'float32', 'V90': 'float32', 'V91': 'float32', 'V92': 'float32', 'V93': 'float32', 'V94': 'float32', 'V95': 'float32', 'V96': 'float32', 'V97': 'float32', 'V98': 'float32', 'V99': 'float32', 'V100': 'float32', 'V101': 'float32', 'V102': 'float32', 'V103': 'float32', 'V104': 'float32', 'V105': 'float32', 'V106': 'float32', 'V107': 'float32', 'V108': 'float32', 'V109': 'float32', 'V110': 'float32', 'V111': 'float32', 'V112': 'float32', 'V113': 'float32', 'V114': 'float32', 'V115': 'float32', 'V116': 'float32', 'V117': 'float32', 'V118': 'float32', 'V119': 'float32', 'V120': 'float32', 'V121': 'float32', 'V122': 'float32', 'V123': 'float32', 'V124': 'float32', 'V125': 'float32', 'V126': 'float32', 'V127': 'float32', 'V128': 'float32', 'V129': 'float32', 'V130': 'float32', 'V131': 'float32', 'V132': 'float32', 'V133': 'float32', 'V134': 'float32', 'V135': 'float32', 'V136': 'float32', 'V137': 'float32', 'V138': 'float32', 'V139': 'float32', 'V140': 'float32', 'V141': 'float32', 'V142': 'float32', 'V143': 'float32', 'V144': 'float32', 'V145': 'float32', 'V146': 'float32', 'V147': 'float32', 'V148': 'float32', 'V149': 'float32', 'V150': 'float32', 'V151': 'float32', 'V152': 'float32', 'V153': 'float32', 'V154': 'float32', 'V155': 'float32', 'V156': 'float32', 'V157': 'float32', 'V158': 'float32', 'V159': 'float32', 'V160': 'float32', 'V161': 'float32', 'V162': 'float32', 'V163': 'float32', 'V164': 'float32', 'V165': 'float32', 'V166': 'float32', 'V167': 'float32', 'V168': 'float32', 'V169': 'float32', 'V170': 'float32', 'V171': 'float32', 'V172': 'float32', 'V173': 'float32', 'V174': 'float32', 'V175': 'float32', 'V176': 'float32', 'V177': 'float32', 'V178': 'float32', 'V179': 'float32', 'V180': 'float32', 'V181': 'float32', 'V182': 'float32', 'V183': 'float32', 'V184': 'float32', 'V185': 'float32', 'V186': 'float32', 'V187': 'float32', 'V188': 'float32', 'V189': 'float32', 'V190': 'float32', 'V191': 'float32', 'V192': 'float32', 'V193': 'float32', 'V194': 'float32', 'V195': 'float32', 'V196': 'float32', 'V197': 'float32', 'V198': 'float32', 'V199': 'float32', 'V200': 'float32', 'V201': 'float32', 'V202': 'float32', 'V203': 'float32', 'V204': 'float32', 'V205': 'float32', 'V206': 'float32', 'V207': 'float32', 'V208': 'float32', 'V209': 'float32', 'V210': 'float32', 'V211': 'float32', 'V212': 'float32', 'V213': 'float32', 'V214': 'float32', 'V215': 'float32', 'V216': 'float32', 'V217': 'float32', 'V218': 'float32', 'V219': 'float32', 'V220': 'float32', 'V221': 'float32', 'V222': 'float32', 'V223': 'float32', 'V224': 'float32', 'V225': 'float32', 'V226': 'float32', 'V227': 'float32', 'V228': 'float32', 'V229': 'float32', 'V230': 'float32', 'V231': 'float32', 'V232': 'float32', 'V233': 'float32', 'V234': 'float32', 'V235': 'float32', 'V236': 'float32', 'V237': 'float32', 'V238': 'float32', 'V239': 'float32', 'V240': 'float32', 'V241': 'float32', 'V242': 'float32', 'V243': 'float32', 'V244': 'float32', 'V245': 'float32', 'V246': 'float32', 'V247': 'float32', 'V248': 'float32', 'V249': 'float32', 'V250': 'float32', 'V251': 'float32', 'V252': 'float32', 'V253': 'float32', 'V254': 'float32', 'V255': 'float32', 'V256': 'float32', 'V257': 'float32', 'V258': 'float32', 'V259': 'float32', 'V260': 'float32', 'V261': 'float32', 'V262': 'float32', 'V263': 'float32', 'V264': 'float32', 'V265': 'float32', 'V266': 'float32', 'V267': 'float32', 'V268': 'float32', 'V269': 'float32', 'V270': 'float32', 'V271': 'float32', 'V272': 'float32', 'V273': 'float32', 'V274': 'float32', 'V275': 'float32', 'V276': 'float32', 'V277': 'float32', 'V278': 'float32', 'V279': 'float32', 'V280': 'float32', 'V281': 'float32', 'V282': 'float32', 'V283': 'float32', 'V284': 'float32', 'V285': 'float32', 'V286': 'float32', 'V287': 'float32', 'V288': 'float32', 'V289': 'float32', 'V290': 'float32', 'V291': 'float32', 'V292': 'float32', 'V293': 'float32', 'V294': 'float32', 'V295': 'float32', 'V296': 'float32', 'V297': 'float32', 'V298': 'float32', 'V299': 'float32', 'V300': 'float32', 'V301': 'float32', 'V302': 'float32', 'V303': 'float32', 'V304': 'float32', 'V305': 'float32', 'V306': 'float32', 'V307': 'float32', 'V308': 'float32', 'V309': 'float32', 'V310': 'float32', 'V311': 'float32', 'V312': 'float32', 'V313': 'float32', 'V314': 'float32', 'V315': 'float32', 'V316': 'float32', 'V317': 'float32', 'V318': 'float32', 'V319': 'float32', 'V320': 'float32', 'V321': 'float32', 'V322': 'float32', 'V323': 'float32', 'V324': 'float32', 'V325': 'float32', 'V326': 'float32', 'V327': 'float32', 'V328': 'float32', 'V329': 'float32', 'V330': 'float32', 'V331': 'float32', 'V332': 'float32', 'V333': 'float32', 'V334': 'float32', 'V335': 'float32', 'V336': 'float32', 'V337': 'float32', 'V338': 'float32', 'V339': 'float32', 'id_01': 'float32', 'id_02': 'float32', 'id_03': 'float32', 'id_04': 'float32', 'id_05': 'float32', 'id_06': 'float32', 'id_07': 'float32', 'id_08': 'float32', 'id_09': 'float32', 'id_10': 'float32', 'id_11': 'float32', 'id_12': 'category', 'id_13': 'float32', 'id_14': 'float32', 'id_15': 'category', 'id_16': 'category', 'id_17': 'float32', 'id_18': 'float32', 'id_19': 'float32', 'id_20': 'float32', 'id_21': 'float32', 'id_22': 'float32', 'id_23': 'category', 'id_24': 'float32', 'id_25': 'float32', 'id_26': 'float32', 'id_27': 'category', 'id_28': 'category', 'id_29': 'category', 'id_30': 'category', 'id_31': 'category', 'id_32': 'float32', 'id_33': 'category', 'id_34': 'category', 'id_35': 'category', 'id_36': 'category', 'id_37': 'category', 'id_38': 'category', 'DeviceType': 'category', 'DeviceInfo': 'category', 'TimeInDay': 'int32', 'Cents': 'float32'}
2024-05-29 13:32:05,166 pid:62817 MainThread giskard.utils.logging_utils INFO     Predicted dataset with shape (42, 434) executed in 0:00:00.046181
Executed 'Accuracy on data slice β€œ`M7` == "F"”' with arguments {'model': <giskard.models.function.PredictionFunctionModel object at 0x303fbc340>, 'dataset': <giskard.datasets.base.Dataset object at 0x303fbf9a0>, 'slicing_function': <giskard.slicing.slice.QueryBasedSliceFunction object at 0x30bda13c0>, 'threshold': 0.836}:
               Test failed
               Metric: 0.74


2024-05-29 13:32:05,221 pid:62817 MainThread giskard.datasets.base INFO     Casting dataframe columns from {'TransactionAmt': 'float32', 'ProductCD': 'category', 'card1': 'int16', 'card2': 'float32', 'card3': 'float32', 'card4': 'category', 'card5': 'float32', 'card6': 'category', 'addr1': 'float32', 'addr2': 'float32', 'dist1': 'float32', 'dist2': 'float32', 'P_emaildomain': 'category', 'R_emaildomain': 'category', 'C1': 'float32', 'C2': 'float32', 'C3': 'float32', 'C4': 'float32', 'C5': 'float32', 'C6': 'float32', 'C7': 'float32', 'C8': 'float32', 'C9': 'float32', 'C10': 'float32', 'C11': 'float32', 'C12': 'float32', 'C13': 'float32', 'C14': 'float32', 'D1': 'float32', 'D2': 'float32', 'D3': 'float32', 'D4': 'float32', 'D5': 'float32', 'D6': 'float32', 'D7': 'float32', 'D8': 'float32', 'D9': 'float32', 'D10': 'float32', 'D11': 'float32', 'D12': 'float32', 'D13': 'float32', 'D14': 'float32', 'D15': 'float32', 'M1': 'category', 'M2': 'category', 'M3': 'category', 'M4': 'category', 'M5': 'category', 'M6': 'category', 'M7': 'category', 'M8': 'category', 'M9': 'category', 'V1': 'float32', 'V2': 'float32', 'V3': 'float32', 'V4': 'float32', 'V5': 'float32', 'V6': 'float32', 'V7': 'float32', 'V8': 'float32', 'V9': 'float32', 'V10': 'float32', 'V11': 'float32', 'V12': 'float32', 'V13': 'float32', 'V14': 'float32', 'V15': 'float32', 'V16': 'float32', 'V17': 'float32', 'V18': 'float32', 'V19': 'float32', 'V20': 'float32', 'V21': 'float32', 'V22': 'float32', 'V23': 'float32', 'V24': 'float32', 'V25': 'float32', 'V26': 'float32', 'V27': 'float32', 'V28': 'float32', 'V29': 'float32', 'V30': 'float32', 'V31': 'float32', 'V32': 'float32', 'V33': 'float32', 'V34': 'float32', 'V35': 'float32', 'V36': 'float32', 'V37': 'float32', 'V38': 'float32', 'V39': 'float32', 'V40': 'float32', 'V41': 'float32', 'V42': 'float32', 'V43': 'float32', 'V44': 'float32', 'V45': 'float32', 'V46': 'float32', 'V47': 'float32', 'V48': 'float32', 'V49': 'float32', 'V50': 'float32', 'V51': 'float32', 'V52': 'float32', 'V53': 'float32', 'V54': 'float32', 'V55': 'float32', 'V56': 'float32', 'V57': 'float32', 'V58': 'float32', 'V59': 'float32', 'V60': 'float32', 'V61': 'float32', 'V62': 'float32', 'V63': 'float32', 'V64': 'float32', 'V65': 'float32', 'V66': 'float32', 'V67': 'float32', 'V68': 'float32', 'V69': 'float32', 'V70': 'float32', 'V71': 'float32', 'V72': 'float32', 'V73': 'float32', 'V74': 'float32', 'V75': 'float32', 'V76': 'float32', 'V77': 'float32', 'V78': 'float32', 'V79': 'float32', 'V80': 'float32', 'V81': 'float32', 'V82': 'float32', 'V83': 'float32', 'V84': 'float32', 'V85': 'float32', 'V86': 'float32', 'V87': 'float32', 'V88': 'float32', 'V89': 'float32', 'V90': 'float32', 'V91': 'float32', 'V92': 'float32', 'V93': 'float32', 'V94': 'float32', 'V95': 'float32', 'V96': 'float32', 'V97': 'float32', 'V98': 'float32', 'V99': 'float32', 'V100': 'float32', 'V101': 'float32', 'V102': 'float32', 'V103': 'float32', 'V104': 'float32', 'V105': 'float32', 'V106': 'float32', 'V107': 'float32', 'V108': 'float32', 'V109': 'float32', 'V110': 'float32', 'V111': 'float32', 'V112': 'float32', 'V113': 'float32', 'V114': 'float32', 'V115': 'float32', 'V116': 'float32', 'V117': 'float32', 'V118': 'float32', 'V119': 'float32', 'V120': 'float32', 'V121': 'float32', 'V122': 'float32', 'V123': 'float32', 'V124': 'float32', 'V125': 'float32', 'V126': 'float32', 'V127': 'float32', 'V128': 'float32', 'V129': 'float32', 'V130': 'float32', 'V131': 'float32', 'V132': 'float32', 'V133': 'float32', 'V134': 'float32', 'V135': 'float32', 'V136': 'float32', 'V137': 'float32', 'V138': 'float32', 'V139': 'float32', 'V140': 'float32', 'V141': 'float32', 'V142': 'float32', 'V143': 'float32', 'V144': 'float32', 'V145': 'float32', 'V146': 'float32', 'V147': 'float32', 'V148': 'float32', 'V149': 'float32', 'V150': 'float32', 'V151': 'float32', 'V152': 'float32', 'V153': 'float32', 'V154': 'float32', 'V155': 'float32', 'V156': 'float32', 'V157': 'float32', 'V158': 'float32', 'V159': 'float32', 'V160': 'float32', 'V161': 'float32', 'V162': 'float32', 'V163': 'float32', 'V164': 'float32', 'V165': 'float32', 'V166': 'float32', 'V167': 'float32', 'V168': 'float32', 'V169': 'float32', 'V170': 'float32', 'V171': 'float32', 'V172': 'float32', 'V173': 'float32', 'V174': 'float32', 'V175': 'float32', 'V176': 'float32', 'V177': 'float32', 'V178': 'float32', 'V179': 'float32', 'V180': 'float32', 'V181': 'float32', 'V182': 'float32', 'V183': 'float32', 'V184': 'float32', 'V185': 'float32', 'V186': 'float32', 'V187': 'float32', 'V188': 'float32', 'V189': 'float32', 'V190': 'float32', 'V191': 'float32', 'V192': 'float32', 'V193': 'float32', 'V194': 'float32', 'V195': 'float32', 'V196': 'float32', 'V197': 'float32', 'V198': 'float32', 'V199': 'float32', 'V200': 'float32', 'V201': 'float32', 'V202': 'float32', 'V203': 'float32', 'V204': 'float32', 'V205': 'float32', 'V206': 'float32', 'V207': 'float32', 'V208': 'float32', 'V209': 'float32', 'V210': 'float32', 'V211': 'float32', 'V212': 'float32', 'V213': 'float32', 'V214': 'float32', 'V215': 'float32', 'V216': 'float32', 'V217': 'float32', 'V218': 'float32', 'V219': 'float32', 'V220': 'float32', 'V221': 'float32', 'V222': 'float32', 'V223': 'float32', 'V224': 'float32', 'V225': 'float32', 'V226': 'float32', 'V227': 'float32', 'V228': 'float32', 'V229': 'float32', 'V230': 'float32', 'V231': 'float32', 'V232': 'float32', 'V233': 'float32', 'V234': 'float32', 'V235': 'float32', 'V236': 'float32', 'V237': 'float32', 'V238': 'float32', 'V239': 'float32', 'V240': 'float32', 'V241': 'float32', 'V242': 'float32', 'V243': 'float32', 'V244': 'float32', 'V245': 'float32', 'V246': 'float32', 'V247': 'float32', 'V248': 'float32', 'V249': 'float32', 'V250': 'float32', 'V251': 'float32', 'V252': 'float32', 'V253': 'float32', 'V254': 'float32', 'V255': 'float32', 'V256': 'float32', 'V257': 'float32', 'V258': 'float32', 'V259': 'float32', 'V260': 'float32', 'V261': 'float32', 'V262': 'float32', 'V263': 'float32', 'V264': 'float32', 'V265': 'float32', 'V266': 'float32', 'V267': 'float32', 'V268': 'float32', 'V269': 'float32', 'V270': 'float32', 'V271': 'float32', 'V272': 'float32', 'V273': 'float32', 'V274': 'float32', 'V275': 'float32', 'V276': 'float32', 'V277': 'float32', 'V278': 'float32', 'V279': 'float32', 'V280': 'float32', 'V281': 'float32', 'V282': 'float32', 'V283': 'float32', 'V284': 'float32', 'V285': 'float32', 'V286': 'float32', 'V287': 'float32', 'V288': 'float32', 'V289': 'float32', 'V290': 'float32', 'V291': 'float32', 'V292': 'float32', 'V293': 'float32', 'V294': 'float32', 'V295': 'float32', 'V296': 'float32', 'V297': 'float32', 'V298': 'float32', 'V299': 'float32', 'V300': 'float32', 'V301': 'float32', 'V302': 'float32', 'V303': 'float32', 'V304': 'float32', 'V305': 'float32', 'V306': 'float32', 'V307': 'float32', 'V308': 'float32', 'V309': 'float32', 'V310': 'float32', 'V311': 'float32', 'V312': 'float32', 'V313': 'float32', 'V314': 'float32', 'V315': 'float32', 'V316': 'float32', 'V317': 'float32', 'V318': 'float32', 'V319': 'float32', 'V320': 'float32', 'V321': 'float32', 'V322': 'float32', 'V323': 'float32', 'V324': 'float32', 'V325': 'float32', 'V326': 'float32', 'V327': 'float32', 'V328': 'float32', 'V329': 'float32', 'V330': 'float32', 'V331': 'float32', 'V332': 'float32', 'V333': 'float32', 'V334': 'float32', 'V335': 'float32', 'V336': 'float32', 'V337': 'float32', 'V338': 'float32', 'V339': 'float32', 'id_01': 'float32', 'id_02': 'float32', 'id_03': 'float32', 'id_04': 'float32', 'id_05': 'float32', 'id_06': 'float32', 'id_07': 'float32', 'id_08': 'float32', 'id_09': 'float32', 'id_10': 'float32', 'id_11': 'float32', 'id_12': 'category', 'id_13': 'float32', 'id_14': 'float32', 'id_15': 'category', 'id_16': 'category', 'id_17': 'float32', 'id_18': 'float32', 'id_19': 'float32', 'id_20': 'float32', 'id_21': 'float32', 'id_22': 'float32', 'id_23': 'category', 'id_24': 'float32', 'id_25': 'float32', 'id_26': 'float32', 'id_27': 'category', 'id_28': 'category', 'id_29': 'category', 'id_30': 'category', 'id_31': 'category', 'id_32': 'float32', 'id_33': 'category', 'id_34': 'category', 'id_35': 'category', 'id_36': 'category', 'id_37': 'category', 'id_38': 'category', 'DeviceType': 'category', 'DeviceInfo': 'category', 'TimeInDay': 'int32', 'Cents': 'float32'} to {'TransactionAmt': 'float32', 'ProductCD': 'category', 'card1': 'int16', 'card2': 'float32', 'card3': 'float32', 'card4': 'category', 'card5': 'float32', 'card6': 'category', 'addr1': 'float32', 'addr2': 'float32', 'dist1': 'float32', 'dist2': 'float32', 'P_emaildomain': 'category', 'R_emaildomain': 'category', 'C1': 'float32', 'C2': 'float32', 'C3': 'float32', 'C4': 'float32', 'C5': 'float32', 'C6': 'float32', 'C7': 'float32', 'C8': 'float32', 'C9': 'float32', 'C10': 'float32', 'C11': 'float32', 'C12': 'float32', 'C13': 'float32', 'C14': 'float32', 'D1': 'float32', 'D2': 'float32', 'D3': 'float32', 'D4': 'float32', 'D5': 'float32', 'D6': 'float32', 'D7': 'float32', 'D8': 'float32', 'D9': 'float32', 'D10': 'float32', 'D11': 'float32', 'D12': 'float32', 'D13': 'float32', 'D14': 'float32', 'D15': 'float32', 'M1': 'category', 'M2': 'category', 'M3': 'category', 'M4': 'category', 'M5': 'category', 'M6': 'category', 'M7': 'category', 'M8': 'category', 'M9': 'category', 'V1': 'float32', 'V2': 'float32', 'V3': 'float32', 'V4': 'float32', 'V5': 'float32', 'V6': 'float32', 'V7': 'float32', 'V8': 'float32', 'V9': 'float32', 'V10': 'float32', 'V11': 'float32', 'V12': 'float32', 'V13': 'float32', 'V14': 'float32', 'V15': 'float32', 'V16': 'float32', 'V17': 'float32', 'V18': 'float32', 'V19': 'float32', 'V20': 'float32', 'V21': 'float32', 'V22': 'float32', 'V23': 'float32', 'V24': 'float32', 'V25': 'float32', 'V26': 'float32', 'V27': 'float32', 'V28': 'float32', 'V29': 'float32', 'V30': 'float32', 'V31': 'float32', 'V32': 'float32', 'V33': 'float32', 'V34': 'float32', 'V35': 'float32', 'V36': 'float32', 'V37': 'float32', 'V38': 'float32', 'V39': 'float32', 'V40': 'float32', 'V41': 'float32', 'V42': 'float32', 'V43': 'float32', 'V44': 'float32', 'V45': 'float32', 'V46': 'float32', 'V47': 'float32', 'V48': 'float32', 'V49': 'float32', 'V50': 'float32', 'V51': 'float32', 'V52': 'float32', 'V53': 'float32', 'V54': 'float32', 'V55': 'float32', 'V56': 'float32', 'V57': 'float32', 'V58': 'float32', 'V59': 'float32', 'V60': 'float32', 'V61': 'float32', 'V62': 'float32', 'V63': 'float32', 'V64': 'float32', 'V65': 'float32', 'V66': 'float32', 'V67': 'float32', 'V68': 'float32', 'V69': 'float32', 'V70': 'float32', 'V71': 'float32', 'V72': 'float32', 'V73': 'float32', 'V74': 'float32', 'V75': 'float32', 'V76': 'float32', 'V77': 'float32', 'V78': 'float32', 'V79': 'float32', 'V80': 'float32', 'V81': 'float32', 'V82': 'float32', 'V83': 'float32', 'V84': 'float32', 'V85': 'float32', 'V86': 'float32', 'V87': 'float32', 'V88': 'float32', 'V89': 'float32', 'V90': 'float32', 'V91': 'float32', 'V92': 'float32', 'V93': 'float32', 'V94': 'float32', 'V95': 'float32', 'V96': 'float32', 'V97': 'float32', 'V98': 'float32', 'V99': 'float32', 'V100': 'float32', 'V101': 'float32', 'V102': 'float32', 'V103': 'float32', 'V104': 'float32', 'V105': 'float32', 'V106': 'float32', 'V107': 'float32', 'V108': 'float32', 'V109': 'float32', 'V110': 'float32', 'V111': 'float32', 'V112': 'float32', 'V113': 'float32', 'V114': 'float32', 'V115': 'float32', 'V116': 'float32', 'V117': 'float32', 'V118': 'float32', 'V119': 'float32', 'V120': 'float32', 'V121': 'float32', 'V122': 'float32', 'V123': 'float32', 'V124': 'float32', 'V125': 'float32', 'V126': 'float32', 'V127': 'float32', 'V128': 'float32', 'V129': 'float32', 'V130': 'float32', 'V131': 'float32', 'V132': 'float32', 'V133': 'float32', 'V134': 'float32', 'V135': 'float32', 'V136': 'float32', 'V137': 'float32', 'V138': 'float32', 'V139': 'float32', 'V140': 'float32', 'V141': 'float32', 'V142': 'float32', 'V143': 'float32', 'V144': 'float32', 'V145': 'float32', 'V146': 'float32', 'V147': 'float32', 'V148': 'float32', 'V149': 'float32', 'V150': 'float32', 'V151': 'float32', 'V152': 'float32', 'V153': 'float32', 'V154': 'float32', 'V155': 'float32', 'V156': 'float32', 'V157': 'float32', 'V158': 'float32', 'V159': 'float32', 'V160': 'float32', 'V161': 'float32', 'V162': 'float32', 'V163': 'float32', 'V164': 'float32', 'V165': 'float32', 'V166': 'float32', 'V167': 'float32', 'V168': 'float32', 'V169': 'float32', 'V170': 'float32', 'V171': 'float32', 'V172': 'float32', 'V173': 'float32', 'V174': 'float32', 'V175': 'float32', 'V176': 'float32', 'V177': 'float32', 'V178': 'float32', 'V179': 'float32', 'V180': 'float32', 'V181': 'float32', 'V182': 'float32', 'V183': 'float32', 'V184': 'float32', 'V185': 'float32', 'V186': 'float32', 'V187': 'float32', 'V188': 'float32', 'V189': 'float32', 'V190': 'float32', 'V191': 'float32', 'V192': 'float32', 'V193': 'float32', 'V194': 'float32', 'V195': 'float32', 'V196': 'float32', 'V197': 'float32', 'V198': 'float32', 'V199': 'float32', 'V200': 'float32', 'V201': 'float32', 'V202': 'float32', 'V203': 'float32', 'V204': 'float32', 'V205': 'float32', 'V206': 'float32', 'V207': 'float32', 'V208': 'float32', 'V209': 'float32', 'V210': 'float32', 'V211': 'float32', 'V212': 'float32', 'V213': 'float32', 'V214': 'float32', 'V215': 'float32', 'V216': 'float32', 'V217': 'float32', 'V218': 'float32', 'V219': 'float32', 'V220': 'float32', 'V221': 'float32', 'V222': 'float32', 'V223': 'float32', 'V224': 'float32', 'V225': 'float32', 'V226': 'float32', 'V227': 'float32', 'V228': 'float32', 'V229': 'float32', 'V230': 'float32', 'V231': 'float32', 'V232': 'float32', 'V233': 'float32', 'V234': 'float32', 'V235': 'float32', 'V236': 'float32', 'V237': 'float32', 'V238': 'float32', 'V239': 'float32', 'V240': 'float32', 'V241': 'float32', 'V242': 'float32', 'V243': 'float32', 'V244': 'float32', 'V245': 'float32', 'V246': 'float32', 'V247': 'float32', 'V248': 'float32', 'V249': 'float32', 'V250': 'float32', 'V251': 'float32', 'V252': 'float32', 'V253': 'float32', 'V254': 'float32', 'V255': 'float32', 'V256': 'float32', 'V257': 'float32', 'V258': 'float32', 'V259': 'float32', 'V260': 'float32', 'V261': 'float32', 'V262': 'float32', 'V263': 'float32', 'V264': 'float32', 'V265': 'float32', 'V266': 'float32', 'V267': 'float32', 'V268': 'float32', 'V269': 'float32', 'V270': 'float32', 'V271': 'float32', 'V272': 'float32', 'V273': 'float32', 'V274': 'float32', 'V275': 'float32', 'V276': 'float32', 'V277': 'float32', 'V278': 'float32', 'V279': 'float32', 'V280': 'float32', 'V281': 'float32', 'V282': 'float32', 'V283': 'float32', 'V284': 'float32', 'V285': 'float32', 'V286': 'float32', 'V287': 'float32', 'V288': 'float32', 'V289': 'float32', 'V290': 'float32', 'V291': 'float32', 'V292': 'float32', 'V293': 'float32', 'V294': 'float32', 'V295': 'float32', 'V296': 'float32', 'V297': 'float32', 'V298': 'float32', 'V299': 'float32', 'V300': 'float32', 'V301': 'float32', 'V302': 'float32', 'V303': 'float32', 'V304': 'float32', 'V305': 'float32', 'V306': 'float32', 'V307': 'float32', 'V308': 'float32', 'V309': 'float32', 'V310': 'float32', 'V311': 'float32', 'V312': 'float32', 'V313': 'float32', 'V314': 'float32', 'V315': 'float32', 'V316': 'float32', 'V317': 'float32', 'V318': 'float32', 'V319': 'float32', 'V320': 'float32', 'V321': 'float32', 'V322': 'float32', 'V323': 'float32', 'V324': 'float32', 'V325': 'float32', 'V326': 'float32', 'V327': 'float32', 'V328': 'float32', 'V329': 'float32', 'V330': 'float32', 'V331': 'float32', 'V332': 'float32', 'V333': 'float32', 'V334': 'float32', 'V335': 'float32', 'V336': 'float32', 'V337': 'float32', 'V338': 'float32', 'V339': 'float32', 'id_01': 'float32', 'id_02': 'float32', 'id_03': 'float32', 'id_04': 'float32', 'id_05': 'float32', 'id_06': 'float32', 'id_07': 'float32', 'id_08': 'float32', 'id_09': 'float32', 'id_10': 'float32', 'id_11': 'float32', 'id_12': 'category', 'id_13': 'float32', 'id_14': 'float32', 'id_15': 'category', 'id_16': 'category', 'id_17': 'float32', 'id_18': 'float32', 'id_19': 'float32', 'id_20': 'float32', 'id_21': 'float32', 'id_22': 'float32', 'id_23': 'category', 'id_24': 'float32', 'id_25': 'float32', 'id_26': 'float32', 'id_27': 'category', 'id_28': 'category', 'id_29': 'category', 'id_30': 'category', 'id_31': 'category', 'id_32': 'float32', 'id_33': 'category', 'id_34': 'category', 'id_35': 'category', 'id_36': 'category', 'id_37': 'category', 'id_38': 'category', 'DeviceType': 'category', 'DeviceInfo': 'category', 'TimeInDay': 'int32', 'Cents': 'float32'}
2024-05-29 13:32:05,244 pid:62817 MainThread giskard.utils.logging_utils INFO     Predicted dataset with shape (31, 434) executed in 0:00:00.046322
Executed 'Accuracy on data slice β€œ`D1` >= 0.500 AND `D1` < 120.000”' with arguments {'model': <giskard.models.function.PredictionFunctionModel object at 0x303fbc340>, 'dataset': <giskard.datasets.base.Dataset object at 0x303fbf9a0>, 'slicing_function': <giskard.slicing.slice.QueryBasedSliceFunction object at 0x30bdd1420>, 'threshold': 0.836}:
               Test failed
               Metric: 0.74


2024-05-29 13:32:05,301 pid:62817 MainThread giskard.datasets.base INFO     Casting dataframe columns from {'TransactionAmt': 'float32', 'ProductCD': 'category', 'card1': 'int16', 'card2': 'float32', 'card3': 'float32', 'card4': 'category', 'card5': 'float32', 'card6': 'category', 'addr1': 'float32', 'addr2': 'float32', 'dist1': 'float32', 'dist2': 'float32', 'P_emaildomain': 'category', 'R_emaildomain': 'category', 'C1': 'float32', 'C2': 'float32', 'C3': 'float32', 'C4': 'float32', 'C5': 'float32', 'C6': 'float32', 'C7': 'float32', 'C8': 'float32', 'C9': 'float32', 'C10': 'float32', 'C11': 'float32', 'C12': 'float32', 'C13': 'float32', 'C14': 'float32', 'D1': 'float32', 'D2': 'float32', 'D3': 'float32', 'D4': 'float32', 'D5': 'float32', 'D6': 'float32', 'D7': 'float32', 'D8': 'float32', 'D9': 'float32', 'D10': 'float32', 'D11': 'float32', 'D12': 'float32', 'D13': 'float32', 'D14': 'float32', 'D15': 'float32', 'M1': 'category', 'M2': 'category', 'M3': 'category', 'M4': 'category', 'M5': 'category', 'M6': 'category', 'M7': 'category', 'M8': 'category', 'M9': 'category', 'V1': 'float32', 'V2': 'float32', 'V3': 'float32', 'V4': 'float32', 'V5': 'float32', 'V6': 'float32', 'V7': 'float32', 'V8': 'float32', 'V9': 'float32', 'V10': 'float32', 'V11': 'float32', 'V12': 'float32', 'V13': 'float32', 'V14': 'float32', 'V15': 'float32', 'V16': 'float32', 'V17': 'float32', 'V18': 'float32', 'V19': 'float32', 'V20': 'float32', 'V21': 'float32', 'V22': 'float32', 'V23': 'float32', 'V24': 'float32', 'V25': 'float32', 'V26': 'float32', 'V27': 'float32', 'V28': 'float32', 'V29': 'float32', 'V30': 'float32', 'V31': 'float32', 'V32': 'float32', 'V33': 'float32', 'V34': 'float32', 'V35': 'float32', 'V36': 'float32', 'V37': 'float32', 'V38': 'float32', 'V39': 'float32', 'V40': 'float32', 'V41': 'float32', 'V42': 'float32', 'V43': 'float32', 'V44': 'float32', 'V45': 'float32', 'V46': 'float32', 'V47': 'float32', 'V48': 'float32', 'V49': 'float32', 'V50': 'float32', 'V51': 'float32', 'V52': 'float32', 'V53': 'float32', 'V54': 'float32', 'V55': 'float32', 'V56': 'float32', 'V57': 'float32', 'V58': 'float32', 'V59': 'float32', 'V60': 'float32', 'V61': 'float32', 'V62': 'float32', 'V63': 'float32', 'V64': 'float32', 'V65': 'float32', 'V66': 'float32', 'V67': 'float32', 'V68': 'float32', 'V69': 'float32', 'V70': 'float32', 'V71': 'float32', 'V72': 'float32', 'V73': 'float32', 'V74': 'float32', 'V75': 'float32', 'V76': 'float32', 'V77': 'float32', 'V78': 'float32', 'V79': 'float32', 'V80': 'float32', 'V81': 'float32', 'V82': 'float32', 'V83': 'float32', 'V84': 'float32', 'V85': 'float32', 'V86': 'float32', 'V87': 'float32', 'V88': 'float32', 'V89': 'float32', 'V90': 'float32', 'V91': 'float32', 'V92': 'float32', 'V93': 'float32', 'V94': 'float32', 'V95': 'float32', 'V96': 'float32', 'V97': 'float32', 'V98': 'float32', 'V99': 'float32', 'V100': 'float32', 'V101': 'float32', 'V102': 'float32', 'V103': 'float32', 'V104': 'float32', 'V105': 'float32', 'V106': 'float32', 'V107': 'float32', 'V108': 'float32', 'V109': 'float32', 'V110': 'float32', 'V111': 'float32', 'V112': 'float32', 'V113': 'float32', 'V114': 'float32', 'V115': 'float32', 'V116': 'float32', 'V117': 'float32', 'V118': 'float32', 'V119': 'float32', 'V120': 'float32', 'V121': 'float32', 'V122': 'float32', 'V123': 'float32', 'V124': 'float32', 'V125': 'float32', 'V126': 'float32', 'V127': 'float32', 'V128': 'float32', 'V129': 'float32', 'V130': 'float32', 'V131': 'float32', 'V132': 'float32', 'V133': 'float32', 'V134': 'float32', 'V135': 'float32', 'V136': 'float32', 'V137': 'float32', 'V138': 'float32', 'V139': 'float32', 'V140': 'float32', 'V141': 'float32', 'V142': 'float32', 'V143': 'float32', 'V144': 'float32', 'V145': 'float32', 'V146': 'float32', 'V147': 'float32', 'V148': 'float32', 'V149': 'float32', 'V150': 'float32', 'V151': 'float32', 'V152': 'float32', 'V153': 'float32', 'V154': 'float32', 'V155': 'float32', 'V156': 'float32', 'V157': 'float32', 'V158': 'float32', 'V159': 'float32', 'V160': 'float32', 'V161': 'float32', 'V162': 'float32', 'V163': 'float32', 'V164': 'float32', 'V165': 'float32', 'V166': 'float32', 'V167': 'float32', 'V168': 'float32', 'V169': 'float32', 'V170': 'float32', 'V171': 'float32', 'V172': 'float32', 'V173': 'float32', 'V174': 'float32', 'V175': 'float32', 'V176': 'float32', 'V177': 'float32', 'V178': 'float32', 'V179': 'float32', 'V180': 'float32', 'V181': 'float32', 'V182': 'float32', 'V183': 'float32', 'V184': 'float32', 'V185': 'float32', 'V186': 'float32', 'V187': 'float32', 'V188': 'float32', 'V189': 'float32', 'V190': 'float32', 'V191': 'float32', 'V192': 'float32', 'V193': 'float32', 'V194': 'float32', 'V195': 'float32', 'V196': 'float32', 'V197': 'float32', 'V198': 'float32', 'V199': 'float32', 'V200': 'float32', 'V201': 'float32', 'V202': 'float32', 'V203': 'float32', 'V204': 'float32', 'V205': 'float32', 'V206': 'float32', 'V207': 'float32', 'V208': 'float32', 'V209': 'float32', 'V210': 'float32', 'V211': 'float32', 'V212': 'float32', 'V213': 'float32', 'V214': 'float32', 'V215': 'float32', 'V216': 'float32', 'V217': 'float32', 'V218': 'float32', 'V219': 'float32', 'V220': 'float32', 'V221': 'float32', 'V222': 'float32', 'V223': 'float32', 'V224': 'float32', 'V225': 'float32', 'V226': 'float32', 'V227': 'float32', 'V228': 'float32', 'V229': 'float32', 'V230': 'float32', 'V231': 'float32', 'V232': 'float32', 'V233': 'float32', 'V234': 'float32', 'V235': 'float32', 'V236': 'float32', 'V237': 'float32', 'V238': 'float32', 'V239': 'float32', 'V240': 'float32', 'V241': 'float32', 'V242': 'float32', 'V243': 'float32', 'V244': 'float32', 'V245': 'float32', 'V246': 'float32', 'V247': 'float32', 'V248': 'float32', 'V249': 'float32', 'V250': 'float32', 'V251': 'float32', 'V252': 'float32', 'V253': 'float32', 'V254': 'float32', 'V255': 'float32', 'V256': 'float32', 'V257': 'float32', 'V258': 'float32', 'V259': 'float32', 'V260': 'float32', 'V261': 'float32', 'V262': 'float32', 'V263': 'float32', 'V264': 'float32', 'V265': 'float32', 'V266': 'float32', 'V267': 'float32', 'V268': 'float32', 'V269': 'float32', 'V270': 'float32', 'V271': 'float32', 'V272': 'float32', 'V273': 'float32', 'V274': 'float32', 'V275': 'float32', 'V276': 'float32', 'V277': 'float32', 'V278': 'float32', 'V279': 'float32', 'V280': 'float32', 'V281': 'float32', 'V282': 'float32', 'V283': 'float32', 'V284': 'float32', 'V285': 'float32', 'V286': 'float32', 'V287': 'float32', 'V288': 'float32', 'V289': 'float32', 'V290': 'float32', 'V291': 'float32', 'V292': 'float32', 'V293': 'float32', 'V294': 'float32', 'V295': 'float32', 'V296': 'float32', 'V297': 'float32', 'V298': 'float32', 'V299': 'float32', 'V300': 'float32', 'V301': 'float32', 'V302': 'float32', 'V303': 'float32', 'V304': 'float32', 'V305': 'float32', 'V306': 'float32', 'V307': 'float32', 'V308': 'float32', 'V309': 'float32', 'V310': 'float32', 'V311': 'float32', 'V312': 'float32', 'V313': 'float32', 'V314': 'float32', 'V315': 'float32', 'V316': 'float32', 'V317': 'float32', 'V318': 'float32', 'V319': 'float32', 'V320': 'float32', 'V321': 'float32', 'V322': 'float32', 'V323': 'float32', 'V324': 'float32', 'V325': 'float32', 'V326': 'float32', 'V327': 'float32', 'V328': 'float32', 'V329': 'float32', 'V330': 'float32', 'V331': 'float32', 'V332': 'float32', 'V333': 'float32', 'V334': 'float32', 'V335': 'float32', 'V336': 'float32', 'V337': 'float32', 'V338': 'float32', 'V339': 'float32', 'id_01': 'float32', 'id_02': 'float32', 'id_03': 'float32', 'id_04': 'float32', 'id_05': 'float32', 'id_06': 'float32', 'id_07': 'float32', 'id_08': 'float32', 'id_09': 'float32', 'id_10': 'float32', 'id_11': 'float32', 'id_12': 'category', 'id_13': 'float32', 'id_14': 'float32', 'id_15': 'category', 'id_16': 'category', 'id_17': 'float32', 'id_18': 'float32', 'id_19': 'float32', 'id_20': 'float32', 'id_21': 'float32', 'id_22': 'float32', 'id_23': 'category', 'id_24': 'float32', 'id_25': 'float32', 'id_26': 'float32', 'id_27': 'category', 'id_28': 'category', 'id_29': 'category', 'id_30': 'category', 'id_31': 'category', 'id_32': 'float32', 'id_33': 'category', 'id_34': 'category', 'id_35': 'category', 'id_36': 'category', 'id_37': 'category', 'id_38': 'category', 'DeviceType': 'category', 'DeviceInfo': 'category', 'TimeInDay': 'int32', 'Cents': 'float32'} to {'TransactionAmt': 'float32', 'ProductCD': 'category', 'card1': 'int16', 'card2': 'float32', 'card3': 'float32', 'card4': 'category', 'card5': 'float32', 'card6': 'category', 'addr1': 'float32', 'addr2': 'float32', 'dist1': 'float32', 'dist2': 'float32', 'P_emaildomain': 'category', 'R_emaildomain': 'category', 'C1': 'float32', 'C2': 'float32', 'C3': 'float32', 'C4': 'float32', 'C5': 'float32', 'C6': 'float32', 'C7': 'float32', 'C8': 'float32', 'C9': 'float32', 'C10': 'float32', 'C11': 'float32', 'C12': 'float32', 'C13': 'float32', 'C14': 'float32', 'D1': 'float32', 'D2': 'float32', 'D3': 'float32', 'D4': 'float32', 'D5': 'float32', 'D6': 'float32', 'D7': 'float32', 'D8': 'float32', 'D9': 'float32', 'D10': 'float32', 'D11': 'float32', 'D12': 'float32', 'D13': 'float32', 'D14': 'float32', 'D15': 'float32', 'M1': 'category', 'M2': 'category', 'M3': 'category', 'M4': 'category', 'M5': 'category', 'M6': 'category', 'M7': 'category', 'M8': 'category', 'M9': 'category', 'V1': 'float32', 'V2': 'float32', 'V3': 'float32', 'V4': 'float32', 'V5': 'float32', 'V6': 'float32', 'V7': 'float32', 'V8': 'float32', 'V9': 'float32', 'V10': 'float32', 'V11': 'float32', 'V12': 'float32', 'V13': 'float32', 'V14': 'float32', 'V15': 'float32', 'V16': 'float32', 'V17': 'float32', 'V18': 'float32', 'V19': 'float32', 'V20': 'float32', 'V21': 'float32', 'V22': 'float32', 'V23': 'float32', 'V24': 'float32', 'V25': 'float32', 'V26': 'float32', 'V27': 'float32', 'V28': 'float32', 'V29': 'float32', 'V30': 'float32', 'V31': 'float32', 'V32': 'float32', 'V33': 'float32', 'V34': 'float32', 'V35': 'float32', 'V36': 'float32', 'V37': 'float32', 'V38': 'float32', 'V39': 'float32', 'V40': 'float32', 'V41': 'float32', 'V42': 'float32', 'V43': 'float32', 'V44': 'float32', 'V45': 'float32', 'V46': 'float32', 'V47': 'float32', 'V48': 'float32', 'V49': 'float32', 'V50': 'float32', 'V51': 'float32', 'V52': 'float32', 'V53': 'float32', 'V54': 'float32', 'V55': 'float32', 'V56': 'float32', 'V57': 'float32', 'V58': 'float32', 'V59': 'float32', 'V60': 'float32', 'V61': 'float32', 'V62': 'float32', 'V63': 'float32', 'V64': 'float32', 'V65': 'float32', 'V66': 'float32', 'V67': 'float32', 'V68': 'float32', 'V69': 'float32', 'V70': 'float32', 'V71': 'float32', 'V72': 'float32', 'V73': 'float32', 'V74': 'float32', 'V75': 'float32', 'V76': 'float32', 'V77': 'float32', 'V78': 'float32', 'V79': 'float32', 'V80': 'float32', 'V81': 'float32', 'V82': 'float32', 'V83': 'float32', 'V84': 'float32', 'V85': 'float32', 'V86': 'float32', 'V87': 'float32', 'V88': 'float32', 'V89': 'float32', 'V90': 'float32', 'V91': 'float32', 'V92': 'float32', 'V93': 'float32', 'V94': 'float32', 'V95': 'float32', 'V96': 'float32', 'V97': 'float32', 'V98': 'float32', 'V99': 'float32', 'V100': 'float32', 'V101': 'float32', 'V102': 'float32', 'V103': 'float32', 'V104': 'float32', 'V105': 'float32', 'V106': 'float32', 'V107': 'float32', 'V108': 'float32', 'V109': 'float32', 'V110': 'float32', 'V111': 'float32', 'V112': 'float32', 'V113': 'float32', 'V114': 'float32', 'V115': 'float32', 'V116': 'float32', 'V117': 'float32', 'V118': 'float32', 'V119': 'float32', 'V120': 'float32', 'V121': 'float32', 'V122': 'float32', 'V123': 'float32', 'V124': 'float32', 'V125': 'float32', 'V126': 'float32', 'V127': 'float32', 'V128': 'float32', 'V129': 'float32', 'V130': 'float32', 'V131': 'float32', 'V132': 'float32', 'V133': 'float32', 'V134': 'float32', 'V135': 'float32', 'V136': 'float32', 'V137': 'float32', 'V138': 'float32', 'V139': 'float32', 'V140': 'float32', 'V141': 'float32', 'V142': 'float32', 'V143': 'float32', 'V144': 'float32', 'V145': 'float32', 'V146': 'float32', 'V147': 'float32', 'V148': 'float32', 'V149': 'float32', 'V150': 'float32', 'V151': 'float32', 'V152': 'float32', 'V153': 'float32', 'V154': 'float32', 'V155': 'float32', 'V156': 'float32', 'V157': 'float32', 'V158': 'float32', 'V159': 'float32', 'V160': 'float32', 'V161': 'float32', 'V162': 'float32', 'V163': 'float32', 'V164': 'float32', 'V165': 'float32', 'V166': 'float32', 'V167': 'float32', 'V168': 'float32', 'V169': 'float32', 'V170': 'float32', 'V171': 'float32', 'V172': 'float32', 'V173': 'float32', 'V174': 'float32', 'V175': 'float32', 'V176': 'float32', 'V177': 'float32', 'V178': 'float32', 'V179': 'float32', 'V180': 'float32', 'V181': 'float32', 'V182': 'float32', 'V183': 'float32', 'V184': 'float32', 'V185': 'float32', 'V186': 'float32', 'V187': 'float32', 'V188': 'float32', 'V189': 'float32', 'V190': 'float32', 'V191': 'float32', 'V192': 'float32', 'V193': 'float32', 'V194': 'float32', 'V195': 'float32', 'V196': 'float32', 'V197': 'float32', 'V198': 'float32', 'V199': 'float32', 'V200': 'float32', 'V201': 'float32', 'V202': 'float32', 'V203': 'float32', 'V204': 'float32', 'V205': 'float32', 'V206': 'float32', 'V207': 'float32', 'V208': 'float32', 'V209': 'float32', 'V210': 'float32', 'V211': 'float32', 'V212': 'float32', 'V213': 'float32', 'V214': 'float32', 'V215': 'float32', 'V216': 'float32', 'V217': 'float32', 'V218': 'float32', 'V219': 'float32', 'V220': 'float32', 'V221': 'float32', 'V222': 'float32', 'V223': 'float32', 'V224': 'float32', 'V225': 'float32', 'V226': 'float32', 'V227': 'float32', 'V228': 'float32', 'V229': 'float32', 'V230': 'float32', 'V231': 'float32', 'V232': 'float32', 'V233': 'float32', 'V234': 'float32', 'V235': 'float32', 'V236': 'float32', 'V237': 'float32', 'V238': 'float32', 'V239': 'float32', 'V240': 'float32', 'V241': 'float32', 'V242': 'float32', 'V243': 'float32', 'V244': 'float32', 'V245': 'float32', 'V246': 'float32', 'V247': 'float32', 'V248': 'float32', 'V249': 'float32', 'V250': 'float32', 'V251': 'float32', 'V252': 'float32', 'V253': 'float32', 'V254': 'float32', 'V255': 'float32', 'V256': 'float32', 'V257': 'float32', 'V258': 'float32', 'V259': 'float32', 'V260': 'float32', 'V261': 'float32', 'V262': 'float32', 'V263': 'float32', 'V264': 'float32', 'V265': 'float32', 'V266': 'float32', 'V267': 'float32', 'V268': 'float32', 'V269': 'float32', 'V270': 'float32', 'V271': 'float32', 'V272': 'float32', 'V273': 'float32', 'V274': 'float32', 'V275': 'float32', 'V276': 'float32', 'V277': 'float32', 'V278': 'float32', 'V279': 'float32', 'V280': 'float32', 'V281': 'float32', 'V282': 'float32', 'V283': 'float32', 'V284': 'float32', 'V285': 'float32', 'V286': 'float32', 'V287': 'float32', 'V288': 'float32', 'V289': 'float32', 'V290': 'float32', 'V291': 'float32', 'V292': 'float32', 'V293': 'float32', 'V294': 'float32', 'V295': 'float32', 'V296': 'float32', 'V297': 'float32', 'V298': 'float32', 'V299': 'float32', 'V300': 'float32', 'V301': 'float32', 'V302': 'float32', 'V303': 'float32', 'V304': 'float32', 'V305': 'float32', 'V306': 'float32', 'V307': 'float32', 'V308': 'float32', 'V309': 'float32', 'V310': 'float32', 'V311': 'float32', 'V312': 'float32', 'V313': 'float32', 'V314': 'float32', 'V315': 'float32', 'V316': 'float32', 'V317': 'float32', 'V318': 'float32', 'V319': 'float32', 'V320': 'float32', 'V321': 'float32', 'V322': 'float32', 'V323': 'float32', 'V324': 'float32', 'V325': 'float32', 'V326': 'float32', 'V327': 'float32', 'V328': 'float32', 'V329': 'float32', 'V330': 'float32', 'V331': 'float32', 'V332': 'float32', 'V333': 'float32', 'V334': 'float32', 'V335': 'float32', 'V336': 'float32', 'V337': 'float32', 'V338': 'float32', 'V339': 'float32', 'id_01': 'float32', 'id_02': 'float32', 'id_03': 'float32', 'id_04': 'float32', 'id_05': 'float32', 'id_06': 'float32', 'id_07': 'float32', 'id_08': 'float32', 'id_09': 'float32', 'id_10': 'float32', 'id_11': 'float32', 'id_12': 'category', 'id_13': 'float32', 'id_14': 'float32', 'id_15': 'category', 'id_16': 'category', 'id_17': 'float32', 'id_18': 'float32', 'id_19': 'float32', 'id_20': 'float32', 'id_21': 'float32', 'id_22': 'float32', 'id_23': 'category', 'id_24': 'float32', 'id_25': 'float32', 'id_26': 'float32', 'id_27': 'category', 'id_28': 'category', 'id_29': 'category', 'id_30': 'category', 'id_31': 'category', 'id_32': 'float32', 'id_33': 'category', 'id_34': 'category', 'id_35': 'category', 'id_36': 'category', 'id_37': 'category', 'id_38': 'category', 'DeviceType': 'category', 'DeviceInfo': 'category', 'TimeInDay': 'int32', 'Cents': 'float32'}
2024-05-29 13:32:05,324 pid:62817 MainThread giskard.utils.logging_utils INFO     Predicted dataset with shape (50, 434) executed in 0:00:00.049778
Executed 'Precision on data slice β€œ`C9` >= 0.500 AND `C9` < 1.500”' with arguments {'model': <giskard.models.function.PredictionFunctionModel object at 0x303fbc340>, 'dataset': <giskard.datasets.base.Dataset object at 0x303fbf9a0>, 'slicing_function': <giskard.slicing.slice.QueryBasedSliceFunction object at 0x30bdd22c0>, 'threshold': 0.7707547169811321}:
               Test failed
               Metric: 0.69


2024-05-29 13:32:05,505 pid:62817 MainThread giskard.datasets.base INFO     Casting dataframe columns from {'TransactionAmt': 'float32', 'ProductCD': 'category', 'card1': 'int16', 'card2': 'float32', 'card3': 'float32', 'card4': 'category', 'card5': 'float32', 'card6': 'category', 'addr1': 'float32', 'addr2': 'float32', 'dist1': 'float32', 'dist2': 'float32', 'P_emaildomain': 'category', 'R_emaildomain': 'category', 'C1': 'float32', 'C2': 'float32', 'C3': 'float32', 'C4': 'float32', 'C5': 'float32', 'C6': 'float32', 'C7': 'float32', 'C8': 'float32', 'C9': 'float32', 'C10': 'float32', 'C11': 'float32', 'C12': 'float32', 'C13': 'float32', 'C14': 'float32', 'D1': 'float32', 'D2': 'float32', 'D3': 'float32', 'D4': 'float32', 'D5': 'float32', 'D6': 'float32', 'D7': 'float32', 'D8': 'float32', 'D9': 'float32', 'D10': 'float32', 'D11': 'float32', 'D12': 'float32', 'D13': 'float32', 'D14': 'float32', 'D15': 'float32', 'M1': 'category', 'M2': 'category', 'M3': 'category', 'M4': 'category', 'M5': 'category', 'M6': 'category', 'M7': 'category', 'M8': 'category', 'M9': 'category', 'V1': 'float32', 'V2': 'float32', 'V3': 'float32', 'V4': 'float32', 'V5': 'float32', 'V6': 'float32', 'V7': 'float32', 'V8': 'float32', 'V9': 'float32', 'V10': 'float32', 'V11': 'float32', 'V12': 'float32', 'V13': 'float32', 'V14': 'float32', 'V15': 'float32', 'V16': 'float32', 'V17': 'float32', 'V18': 'float32', 'V19': 'float32', 'V20': 'float32', 'V21': 'float32', 'V22': 'float32', 'V23': 'float32', 'V24': 'float32', 'V25': 'float32', 'V26': 'float32', 'V27': 'float32', 'V28': 'float32', 'V29': 'float32', 'V30': 'float32', 'V31': 'float32', 'V32': 'float32', 'V33': 'float32', 'V34': 'float32', 'V35': 'float32', 'V36': 'float32', 'V37': 'float32', 'V38': 'float32', 'V39': 'float32', 'V40': 'float32', 'V41': 'float32', 'V42': 'float32', 'V43': 'float32', 'V44': 'float32', 'V45': 'float32', 'V46': 'float32', 'V47': 'float32', 'V48': 'float32', 'V49': 'float32', 'V50': 'float32', 'V51': 'float32', 'V52': 'float32', 'V53': 'float32', 'V54': 'float32', 'V55': 'float32', 'V56': 'float32', 'V57': 'float32', 'V58': 'float32', 'V59': 'float32', 'V60': 'float32', 'V61': 'float32', 'V62': 'float32', 'V63': 'float32', 'V64': 'float32', 'V65': 'float32', 'V66': 'float32', 'V67': 'float32', 'V68': 'float32', 'V69': 'float32', 'V70': 'float32', 'V71': 'float32', 'V72': 'float32', 'V73': 'float32', 'V74': 'float32', 'V75': 'float32', 'V76': 'float32', 'V77': 'float32', 'V78': 'float32', 'V79': 'float32', 'V80': 'float32', 'V81': 'float32', 'V82': 'float32', 'V83': 'float32', 'V84': 'float32', 'V85': 'float32', 'V86': 'float32', 'V87': 'float32', 'V88': 'float32', 'V89': 'float32', 'V90': 'float32', 'V91': 'float32', 'V92': 'float32', 'V93': 'float32', 'V94': 'float32', 'V95': 'float32', 'V96': 'float32', 'V97': 'float32', 'V98': 'float32', 'V99': 'float32', 'V100': 'float32', 'V101': 'float32', 'V102': 'float32', 'V103': 'float32', 'V104': 'float32', 'V105': 'float32', 'V106': 'float32', 'V107': 'float32', 'V108': 'float32', 'V109': 'float32', 'V110': 'float32', 'V111': 'float32', 'V112': 'float32', 'V113': 'float32', 'V114': 'float32', 'V115': 'float32', 'V116': 'float32', 'V117': 'float32', 'V118': 'float32', 'V119': 'float32', 'V120': 'float32', 'V121': 'float32', 'V122': 'float32', 'V123': 'float32', 'V124': 'float32', 'V125': 'float32', 'V126': 'float32', 'V127': 'float32', 'V128': 'float32', 'V129': 'float32', 'V130': 'float32', 'V131': 'float32', 'V132': 'float32', 'V133': 'float32', 'V134': 'float32', 'V135': 'float32', 'V136': 'float32', 'V137': 'float32', 'V138': 'float32', 'V139': 'float32', 'V140': 'float32', 'V141': 'float32', 'V142': 'float32', 'V143': 'float32', 'V144': 'float32', 'V145': 'float32', 'V146': 'float32', 'V147': 'float32', 'V148': 'float32', 'V149': 'float32', 'V150': 'float32', 'V151': 'float32', 'V152': 'float32', 'V153': 'float32', 'V154': 'float32', 'V155': 'float32', 'V156': 'float32', 'V157': 'float32', 'V158': 'float32', 'V159': 'float32', 'V160': 'float32', 'V161': 'float32', 'V162': 'float32', 'V163': 'float32', 'V164': 'float32', 'V165': 'float32', 'V166': 'float32', 'V167': 'float32', 'V168': 'float32', 'V169': 'float32', 'V170': 'float32', 'V171': 'float32', 'V172': 'float32', 'V173': 'float32', 'V174': 'float32', 'V175': 'float32', 'V176': 'float32', 'V177': 'float32', 'V178': 'float32', 'V179': 'float32', 'V180': 'float32', 'V181': 'float32', 'V182': 'float32', 'V183': 'float32', 'V184': 'float32', 'V185': 'float32', 'V186': 'float32', 'V187': 'float32', 'V188': 'float32', 'V189': 'float32', 'V190': 'float32', 'V191': 'float32', 'V192': 'float32', 'V193': 'float32', 'V194': 'float32', 'V195': 'float32', 'V196': 'float32', 'V197': 'float32', 'V198': 'float32', 'V199': 'float32', 'V200': 'float32', 'V201': 'float32', 'V202': 'float32', 'V203': 'float32', 'V204': 'float32', 'V205': 'float32', 'V206': 'float32', 'V207': 'float32', 'V208': 'float32', 'V209': 'float32', 'V210': 'float32', 'V211': 'float32', 'V212': 'float32', 'V213': 'float32', 'V214': 'float32', 'V215': 'float32', 'V216': 'float32', 'V217': 'float32', 'V218': 'float32', 'V219': 'float32', 'V220': 'float32', 'V221': 'float32', 'V222': 'float32', 'V223': 'float32', 'V224': 'float32', 'V225': 'float32', 'V226': 'float32', 'V227': 'float32', 'V228': 'float32', 'V229': 'float32', 'V230': 'float32', 'V231': 'float32', 'V232': 'float32', 'V233': 'float32', 'V234': 'float32', 'V235': 'float32', 'V236': 'float32', 'V237': 'float32', 'V238': 'float32', 'V239': 'float32', 'V240': 'float32', 'V241': 'float32', 'V242': 'float32', 'V243': 'float32', 'V244': 'float32', 'V245': 'float32', 'V246': 'float32', 'V247': 'float32', 'V248': 'float32', 'V249': 'float32', 'V250': 'float32', 'V251': 'float32', 'V252': 'float32', 'V253': 'float32', 'V254': 'float32', 'V255': 'float32', 'V256': 'float32', 'V257': 'float32', 'V258': 'float32', 'V259': 'float32', 'V260': 'float32', 'V261': 'float32', 'V262': 'float32', 'V263': 'float32', 'V264': 'float32', 'V265': 'float32', 'V266': 'float32', 'V267': 'float32', 'V268': 'float32', 'V269': 'float32', 'V270': 'float32', 'V271': 'float32', 'V272': 'float32', 'V273': 'float32', 'V274': 'float32', 'V275': 'float32', 'V276': 'float32', 'V277': 'float32', 'V278': 'float32', 'V279': 'float32', 'V280': 'float32', 'V281': 'float32', 'V282': 'float32', 'V283': 'float32', 'V284': 'float32', 'V285': 'float32', 'V286': 'float32', 'V287': 'float32', 'V288': 'float32', 'V289': 'float32', 'V290': 'float32', 'V291': 'float32', 'V292': 'float32', 'V293': 'float32', 'V294': 'float32', 'V295': 'float32', 'V296': 'float32', 'V297': 'float32', 'V298': 'float32', 'V299': 'float32', 'V300': 'float32', 'V301': 'float32', 'V302': 'float32', 'V303': 'float32', 'V304': 'float32', 'V305': 'float32', 'V306': 'float32', 'V307': 'float32', 'V308': 'float32', 'V309': 'float32', 'V310': 'float32', 'V311': 'float32', 'V312': 'float32', 'V313': 'float32', 'V314': 'float32', 'V315': 'float32', 'V316': 'float32', 'V317': 'float32', 'V318': 'float32', 'V319': 'float32', 'V320': 'float32', 'V321': 'float32', 'V322': 'float32', 'V323': 'float32', 'V324': 'float32', 'V325': 'float32', 'V326': 'float32', 'V327': 'float32', 'V328': 'float32', 'V329': 'float32', 'V330': 'float32', 'V331': 'float32', 'V332': 'float32', 'V333': 'float32', 'V334': 'float32', 'V335': 'float32', 'V336': 'float32', 'V337': 'float32', 'V338': 'float32', 'V339': 'float32', 'id_01': 'float32', 'id_02': 'float32', 'id_03': 'float32', 'id_04': 'float32', 'id_05': 'float32', 'id_06': 'float32', 'id_07': 'float32', 'id_08': 'float32', 'id_09': 'float32', 'id_10': 'float32', 'id_11': 'float32', 'id_12': 'category', 'id_13': 'float32', 'id_14': 'float32', 'id_15': 'category', 'id_16': 'category', 'id_17': 'float32', 'id_18': 'float32', 'id_19': 'float32', 'id_20': 'float32', 'id_21': 'float32', 'id_22': 'float32', 'id_23': 'category', 'id_24': 'float32', 'id_25': 'float32', 'id_26': 'float32', 'id_27': 'category', 'id_28': 'category', 'id_29': 'category', 'id_30': 'category', 'id_31': 'category', 'id_32': 'float32', 'id_33': 'category', 'id_34': 'category', 'id_35': 'category', 'id_36': 'category', 'id_37': 'category', 'id_38': 'category', 'DeviceType': 'category', 'DeviceInfo': 'category', 'TimeInDay': 'int32', 'Cents': 'float32'} to {'TransactionAmt': 'float32', 'ProductCD': 'category', 'card1': 'int16', 'card2': 'float32', 'card3': 'float32', 'card4': 'category', 'card5': 'float32', 'card6': 'category', 'addr1': 'float32', 'addr2': 'float32', 'dist1': 'float32', 'dist2': 'float32', 'P_emaildomain': 'category', 'R_emaildomain': 'category', 'C1': 'float32', 'C2': 'float32', 'C3': 'float32', 'C4': 'float32', 'C5': 'float32', 'C6': 'float32', 'C7': 'float32', 'C8': 'float32', 'C9': 'float32', 'C10': 'float32', 'C11': 'float32', 'C12': 'float32', 'C13': 'float32', 'C14': 'float32', 'D1': 'float32', 'D2': 'float32', 'D3': 'float32', 'D4': 'float32', 'D5': 'float32', 'D6': 'float32', 'D7': 'float32', 'D8': 'float32', 'D9': 'float32', 'D10': 'float32', 'D11': 'float32', 'D12': 'float32', 'D13': 'float32', 'D14': 'float32', 'D15': 'float32', 'M1': 'category', 'M2': 'category', 'M3': 'category', 'M4': 'category', 'M5': 'category', 'M6': 'category', 'M7': 'category', 'M8': 'category', 'M9': 'category', 'V1': 'float32', 'V2': 'float32', 'V3': 'float32', 'V4': 'float32', 'V5': 'float32', 'V6': 'float32', 'V7': 'float32', 'V8': 'float32', 'V9': 'float32', 'V10': 'float32', 'V11': 'float32', 'V12': 'float32', 'V13': 'float32', 'V14': 'float32', 'V15': 'float32', 'V16': 'float32', 'V17': 'float32', 'V18': 'float32', 'V19': 'float32', 'V20': 'float32', 'V21': 'float32', 'V22': 'float32', 'V23': 'float32', 'V24': 'float32', 'V25': 'float32', 'V26': 'float32', 'V27': 'float32', 'V28': 'float32', 'V29': 'float32', 'V30': 'float32', 'V31': 'float32', 'V32': 'float32', 'V33': 'float32', 'V34': 'float32', 'V35': 'float32', 'V36': 'float32', 'V37': 'float32', 'V38': 'float32', 'V39': 'float32', 'V40': 'float32', 'V41': 'float32', 'V42': 'float32', 'V43': 'float32', 'V44': 'float32', 'V45': 'float32', 'V46': 'float32', 'V47': 'float32', 'V48': 'float32', 'V49': 'float32', 'V50': 'float32', 'V51': 'float32', 'V52': 'float32', 'V53': 'float32', 'V54': 'float32', 'V55': 'float32', 'V56': 'float32', 'V57': 'float32', 'V58': 'float32', 'V59': 'float32', 'V60': 'float32', 'V61': 'float32', 'V62': 'float32', 'V63': 'float32', 'V64': 'float32', 'V65': 'float32', 'V66': 'float32', 'V67': 'float32', 'V68': 'float32', 'V69': 'float32', 'V70': 'float32', 'V71': 'float32', 'V72': 'float32', 'V73': 'float32', 'V74': 'float32', 'V75': 'float32', 'V76': 'float32', 'V77': 'float32', 'V78': 'float32', 'V79': 'float32', 'V80': 'float32', 'V81': 'float32', 'V82': 'float32', 'V83': 'float32', 'V84': 'float32', 'V85': 'float32', 'V86': 'float32', 'V87': 'float32', 'V88': 'float32', 'V89': 'float32', 'V90': 'float32', 'V91': 'float32', 'V92': 'float32', 'V93': 'float32', 'V94': 'float32', 'V95': 'float32', 'V96': 'float32', 'V97': 'float32', 'V98': 'float32', 'V99': 'float32', 'V100': 'float32', 'V101': 'float32', 'V102': 'float32', 'V103': 'float32', 'V104': 'float32', 'V105': 'float32', 'V106': 'float32', 'V107': 'float32', 'V108': 'float32', 'V109': 'float32', 'V110': 'float32', 'V111': 'float32', 'V112': 'float32', 'V113': 'float32', 'V114': 'float32', 'V115': 'float32', 'V116': 'float32', 'V117': 'float32', 'V118': 'float32', 'V119': 'float32', 'V120': 'float32', 'V121': 'float32', 'V122': 'float32', 'V123': 'float32', 'V124': 'float32', 'V125': 'float32', 'V126': 'float32', 'V127': 'float32', 'V128': 'float32', 'V129': 'float32', 'V130': 'float32', 'V131': 'float32', 'V132': 'float32', 'V133': 'float32', 'V134': 'float32', 'V135': 'float32', 'V136': 'float32', 'V137': 'float32', 'V138': 'float32', 'V139': 'float32', 'V140': 'float32', 'V141': 'float32', 'V142': 'float32', 'V143': 'float32', 'V144': 'float32', 'V145': 'float32', 'V146': 'float32', 'V147': 'float32', 'V148': 'float32', 'V149': 'float32', 'V150': 'float32', 'V151': 'float32', 'V152': 'float32', 'V153': 'float32', 'V154': 'float32', 'V155': 'float32', 'V156': 'float32', 'V157': 'float32', 'V158': 'float32', 'V159': 'float32', 'V160': 'float32', 'V161': 'float32', 'V162': 'float32', 'V163': 'float32', 'V164': 'float32', 'V165': 'float32', 'V166': 'float32', 'V167': 'float32', 'V168': 'float32', 'V169': 'float32', 'V170': 'float32', 'V171': 'float32', 'V172': 'float32', 'V173': 'float32', 'V174': 'float32', 'V175': 'float32', 'V176': 'float32', 'V177': 'float32', 'V178': 'float32', 'V179': 'float32', 'V180': 'float32', 'V181': 'float32', 'V182': 'float32', 'V183': 'float32', 'V184': 'float32', 'V185': 'float32', 'V186': 'float32', 'V187': 'float32', 'V188': 'float32', 'V189': 'float32', 'V190': 'float32', 'V191': 'float32', 'V192': 'float32', 'V193': 'float32', 'V194': 'float32', 'V195': 'float32', 'V196': 'float32', 'V197': 'float32', 'V198': 'float32', 'V199': 'float32', 'V200': 'float32', 'V201': 'float32', 'V202': 'float32', 'V203': 'float32', 'V204': 'float32', 'V205': 'float32', 'V206': 'float32', 'V207': 'float32', 'V208': 'float32', 'V209': 'float32', 'V210': 'float32', 'V211': 'float32', 'V212': 'float32', 'V213': 'float32', 'V214': 'float32', 'V215': 'float32', 'V216': 'float32', 'V217': 'float32', 'V218': 'float32', 'V219': 'float32', 'V220': 'float32', 'V221': 'float32', 'V222': 'float32', 'V223': 'float32', 'V224': 'float32', 'V225': 'float32', 'V226': 'float32', 'V227': 'float32', 'V228': 'float32', 'V229': 'float32', 'V230': 'float32', 'V231': 'float32', 'V232': 'float32', 'V233': 'float32', 'V234': 'float32', 'V235': 'float32', 'V236': 'float32', 'V237': 'float32', 'V238': 'float32', 'V239': 'float32', 'V240': 'float32', 'V241': 'float32', 'V242': 'float32', 'V243': 'float32', 'V244': 'float32', 'V245': 'float32', 'V246': 'float32', 'V247': 'float32', 'V248': 'float32', 'V249': 'float32', 'V250': 'float32', 'V251': 'float32', 'V252': 'float32', 'V253': 'float32', 'V254': 'float32', 'V255': 'float32', 'V256': 'float32', 'V257': 'float32', 'V258': 'float32', 'V259': 'float32', 'V260': 'float32', 'V261': 'float32', 'V262': 'float32', 'V263': 'float32', 'V264': 'float32', 'V265': 'float32', 'V266': 'float32', 'V267': 'float32', 'V268': 'float32', 'V269': 'float32', 'V270': 'float32', 'V271': 'float32', 'V272': 'float32', 'V273': 'float32', 'V274': 'float32', 'V275': 'float32', 'V276': 'float32', 'V277': 'float32', 'V278': 'float32', 'V279': 'float32', 'V280': 'float32', 'V281': 'float32', 'V282': 'float32', 'V283': 'float32', 'V284': 'float32', 'V285': 'float32', 'V286': 'float32', 'V287': 'float32', 'V288': 'float32', 'V289': 'float32', 'V290': 'float32', 'V291': 'float32', 'V292': 'float32', 'V293': 'float32', 'V294': 'float32', 'V295': 'float32', 'V296': 'float32', 'V297': 'float32', 'V298': 'float32', 'V299': 'float32', 'V300': 'float32', 'V301': 'float32', 'V302': 'float32', 'V303': 'float32', 'V304': 'float32', 'V305': 'float32', 'V306': 'float32', 'V307': 'float32', 'V308': 'float32', 'V309': 'float32', 'V310': 'float32', 'V311': 'float32', 'V312': 'float32', 'V313': 'float32', 'V314': 'float32', 'V315': 'float32', 'V316': 'float32', 'V317': 'float32', 'V318': 'float32', 'V319': 'float32', 'V320': 'float32', 'V321': 'float32', 'V322': 'float32', 'V323': 'float32', 'V324': 'float32', 'V325': 'float32', 'V326': 'float32', 'V327': 'float32', 'V328': 'float32', 'V329': 'float32', 'V330': 'float32', 'V331': 'float32', 'V332': 'float32', 'V333': 'float32', 'V334': 'float32', 'V335': 'float32', 'V336': 'float32', 'V337': 'float32', 'V338': 'float32', 'V339': 'float32', 'id_01': 'float32', 'id_02': 'float32', 'id_03': 'float32', 'id_04': 'float32', 'id_05': 'float32', 'id_06': 'float32', 'id_07': 'float32', 'id_08': 'float32', 'id_09': 'float32', 'id_10': 'float32', 'id_11': 'float32', 'id_12': 'category', 'id_13': 'float32', 'id_14': 'float32', 'id_15': 'category', 'id_16': 'category', 'id_17': 'float32', 'id_18': 'float32', 'id_19': 'float32', 'id_20': 'float32', 'id_21': 'float32', 'id_22': 'float32', 'id_23': 'category', 'id_24': 'float32', 'id_25': 'float32', 'id_26': 'float32', 'id_27': 'category', 'id_28': 'category', 'id_29': 'category', 'id_30': 'category', 'id_31': 'category', 'id_32': 'float32', 'id_33': 'category', 'id_34': 'category', 'id_35': 'category', 'id_36': 'category', 'id_37': 'category', 'id_38': 'category', 'DeviceType': 'category', 'DeviceInfo': 'category', 'TimeInDay': 'int32', 'Cents': 'float32'}
2024-05-29 13:32:05,525 pid:62817 MainThread giskard.utils.logging_utils INFO     Predicted dataset with shape (35, 434) executed in 0:00:00.042524
Executed 'Accuracy on data slice β€œ`V10` < 0.500”' with arguments {'model': <giskard.models.function.PredictionFunctionModel object at 0x303fbc340>, 'dataset': <giskard.datasets.base.Dataset object at 0x303fbf9a0>, 'slicing_function': <giskard.slicing.slice.QueryBasedSliceFunction object at 0x30bdcada0>, 'threshold': 0.836}:
               Test failed
               Metric: 0.77


2024-05-29 13:32:05,579 pid:62817 MainThread giskard.datasets.base INFO     Casting dataframe columns from {'TransactionAmt': 'float32', 'ProductCD': 'category', 'card1': 'int16', 'card2': 'float32', 'card3': 'float32', 'card4': 'category', 'card5': 'float32', 'card6': 'category', 'addr1': 'float32', 'addr2': 'float32', 'dist1': 'float32', 'dist2': 'float32', 'P_emaildomain': 'category', 'R_emaildomain': 'category', 'C1': 'float32', 'C2': 'float32', 'C3': 'float32', 'C4': 'float32', 'C5': 'float32', 'C6': 'float32', 'C7': 'float32', 'C8': 'float32', 'C9': 'float32', 'C10': 'float32', 'C11': 'float32', 'C12': 'float32', 'C13': 'float32', 'C14': 'float32', 'D1': 'float32', 'D2': 'float32', 'D3': 'float32', 'D4': 'float32', 'D5': 'float32', 'D6': 'float32', 'D7': 'float32', 'D8': 'float32', 'D9': 'float32', 'D10': 'float32', 'D11': 'float32', 'D12': 'float32', 'D13': 'float32', 'D14': 'float32', 'D15': 'float32', 'M1': 'category', 'M2': 'category', 'M3': 'category', 'M4': 'category', 'M5': 'category', 'M6': 'category', 'M7': 'category', 'M8': 'category', 'M9': 'category', 'V1': 'float32', 'V2': 'float32', 'V3': 'float32', 'V4': 'float32', 'V5': 'float32', 'V6': 'float32', 'V7': 'float32', 'V8': 'float32', 'V9': 'float32', 'V10': 'float32', 'V11': 'float32', 'V12': 'float32', 'V13': 'float32', 'V14': 'float32', 'V15': 'float32', 'V16': 'float32', 'V17': 'float32', 'V18': 'float32', 'V19': 'float32', 'V20': 'float32', 'V21': 'float32', 'V22': 'float32', 'V23': 'float32', 'V24': 'float32', 'V25': 'float32', 'V26': 'float32', 'V27': 'float32', 'V28': 'float32', 'V29': 'float32', 'V30': 'float32', 'V31': 'float32', 'V32': 'float32', 'V33': 'float32', 'V34': 'float32', 'V35': 'float32', 'V36': 'float32', 'V37': 'float32', 'V38': 'float32', 'V39': 'float32', 'V40': 'float32', 'V41': 'float32', 'V42': 'float32', 'V43': 'float32', 'V44': 'float32', 'V45': 'float32', 'V46': 'float32', 'V47': 'float32', 'V48': 'float32', 'V49': 'float32', 'V50': 'float32', 'V51': 'float32', 'V52': 'float32', 'V53': 'float32', 'V54': 'float32', 'V55': 'float32', 'V56': 'float32', 'V57': 'float32', 'V58': 'float32', 'V59': 'float32', 'V60': 'float32', 'V61': 'float32', 'V62': 'float32', 'V63': 'float32', 'V64': 'float32', 'V65': 'float32', 'V66': 'float32', 'V67': 'float32', 'V68': 'float32', 'V69': 'float32', 'V70': 'float32', 'V71': 'float32', 'V72': 'float32', 'V73': 'float32', 'V74': 'float32', 'V75': 'float32', 'V76': 'float32', 'V77': 'float32', 'V78': 'float32', 'V79': 'float32', 'V80': 'float32', 'V81': 'float32', 'V82': 'float32', 'V83': 'float32', 'V84': 'float32', 'V85': 'float32', 'V86': 'float32', 'V87': 'float32', 'V88': 'float32', 'V89': 'float32', 'V90': 'float32', 'V91': 'float32', 'V92': 'float32', 'V93': 'float32', 'V94': 'float32', 'V95': 'float32', 'V96': 'float32', 'V97': 'float32', 'V98': 'float32', 'V99': 'float32', 'V100': 'float32', 'V101': 'float32', 'V102': 'float32', 'V103': 'float32', 'V104': 'float32', 'V105': 'float32', 'V106': 'float32', 'V107': 'float32', 'V108': 'float32', 'V109': 'float32', 'V110': 'float32', 'V111': 'float32', 'V112': 'float32', 'V113': 'float32', 'V114': 'float32', 'V115': 'float32', 'V116': 'float32', 'V117': 'float32', 'V118': 'float32', 'V119': 'float32', 'V120': 'float32', 'V121': 'float32', 'V122': 'float32', 'V123': 'float32', 'V124': 'float32', 'V125': 'float32', 'V126': 'float32', 'V127': 'float32', 'V128': 'float32', 'V129': 'float32', 'V130': 'float32', 'V131': 'float32', 'V132': 'float32', 'V133': 'float32', 'V134': 'float32', 'V135': 'float32', 'V136': 'float32', 'V137': 'float32', 'V138': 'float32', 'V139': 'float32', 'V140': 'float32', 'V141': 'float32', 'V142': 'float32', 'V143': 'float32', 'V144': 'float32', 'V145': 'float32', 'V146': 'float32', 'V147': 'float32', 'V148': 'float32', 'V149': 'float32', 'V150': 'float32', 'V151': 'float32', 'V152': 'float32', 'V153': 'float32', 'V154': 'float32', 'V155': 'float32', 'V156': 'float32', 'V157': 'float32', 'V158': 'float32', 'V159': 'float32', 'V160': 'float32', 'V161': 'float32', 'V162': 'float32', 'V163': 'float32', 'V164': 'float32', 'V165': 'float32', 'V166': 'float32', 'V167': 'float32', 'V168': 'float32', 'V169': 'float32', 'V170': 'float32', 'V171': 'float32', 'V172': 'float32', 'V173': 'float32', 'V174': 'float32', 'V175': 'float32', 'V176': 'float32', 'V177': 'float32', 'V178': 'float32', 'V179': 'float32', 'V180': 'float32', 'V181': 'float32', 'V182': 'float32', 'V183': 'float32', 'V184': 'float32', 'V185': 'float32', 'V186': 'float32', 'V187': 'float32', 'V188': 'float32', 'V189': 'float32', 'V190': 'float32', 'V191': 'float32', 'V192': 'float32', 'V193': 'float32', 'V194': 'float32', 'V195': 'float32', 'V196': 'float32', 'V197': 'float32', 'V198': 'float32', 'V199': 'float32', 'V200': 'float32', 'V201': 'float32', 'V202': 'float32', 'V203': 'float32', 'V204': 'float32', 'V205': 'float32', 'V206': 'float32', 'V207': 'float32', 'V208': 'float32', 'V209': 'float32', 'V210': 'float32', 'V211': 'float32', 'V212': 'float32', 'V213': 'float32', 'V214': 'float32', 'V215': 'float32', 'V216': 'float32', 'V217': 'float32', 'V218': 'float32', 'V219': 'float32', 'V220': 'float32', 'V221': 'float32', 'V222': 'float32', 'V223': 'float32', 'V224': 'float32', 'V225': 'float32', 'V226': 'float32', 'V227': 'float32', 'V228': 'float32', 'V229': 'float32', 'V230': 'float32', 'V231': 'float32', 'V232': 'float32', 'V233': 'float32', 'V234': 'float32', 'V235': 'float32', 'V236': 'float32', 'V237': 'float32', 'V238': 'float32', 'V239': 'float32', 'V240': 'float32', 'V241': 'float32', 'V242': 'float32', 'V243': 'float32', 'V244': 'float32', 'V245': 'float32', 'V246': 'float32', 'V247': 'float32', 'V248': 'float32', 'V249': 'float32', 'V250': 'float32', 'V251': 'float32', 'V252': 'float32', 'V253': 'float32', 'V254': 'float32', 'V255': 'float32', 'V256': 'float32', 'V257': 'float32', 'V258': 'float32', 'V259': 'float32', 'V260': 'float32', 'V261': 'float32', 'V262': 'float32', 'V263': 'float32', 'V264': 'float32', 'V265': 'float32', 'V266': 'float32', 'V267': 'float32', 'V268': 'float32', 'V269': 'float32', 'V270': 'float32', 'V271': 'float32', 'V272': 'float32', 'V273': 'float32', 'V274': 'float32', 'V275': 'float32', 'V276': 'float32', 'V277': 'float32', 'V278': 'float32', 'V279': 'float32', 'V280': 'float32', 'V281': 'float32', 'V282': 'float32', 'V283': 'float32', 'V284': 'float32', 'V285': 'float32', 'V286': 'float32', 'V287': 'float32', 'V288': 'float32', 'V289': 'float32', 'V290': 'float32', 'V291': 'float32', 'V292': 'float32', 'V293': 'float32', 'V294': 'float32', 'V295': 'float32', 'V296': 'float32', 'V297': 'float32', 'V298': 'float32', 'V299': 'float32', 'V300': 'float32', 'V301': 'float32', 'V302': 'float32', 'V303': 'float32', 'V304': 'float32', 'V305': 'float32', 'V306': 'float32', 'V307': 'float32', 'V308': 'float32', 'V309': 'float32', 'V310': 'float32', 'V311': 'float32', 'V312': 'float32', 'V313': 'float32', 'V314': 'float32', 'V315': 'float32', 'V316': 'float32', 'V317': 'float32', 'V318': 'float32', 'V319': 'float32', 'V320': 'float32', 'V321': 'float32', 'V322': 'float32', 'V323': 'float32', 'V324': 'float32', 'V325': 'float32', 'V326': 'float32', 'V327': 'float32', 'V328': 'float32', 'V329': 'float32', 'V330': 'float32', 'V331': 'float32', 'V332': 'float32', 'V333': 'float32', 'V334': 'float32', 'V335': 'float32', 'V336': 'float32', 'V337': 'float32', 'V338': 'float32', 'V339': 'float32', 'id_01': 'float32', 'id_02': 'float32', 'id_03': 'float32', 'id_04': 'float32', 'id_05': 'float32', 'id_06': 'float32', 'id_07': 'float32', 'id_08': 'float32', 'id_09': 'float32', 'id_10': 'float32', 'id_11': 'float32', 'id_12': 'category', 'id_13': 'float32', 'id_14': 'float32', 'id_15': 'category', 'id_16': 'category', 'id_17': 'float32', 'id_18': 'float32', 'id_19': 'float32', 'id_20': 'float32', 'id_21': 'float32', 'id_22': 'float32', 'id_23': 'category', 'id_24': 'float32', 'id_25': 'float32', 'id_26': 'float32', 'id_27': 'category', 'id_28': 'category', 'id_29': 'category', 'id_30': 'category', 'id_31': 'category', 'id_32': 'float32', 'id_33': 'category', 'id_34': 'category', 'id_35': 'category', 'id_36': 'category', 'id_37': 'category', 'id_38': 'category', 'DeviceType': 'category', 'DeviceInfo': 'category', 'TimeInDay': 'int32', 'Cents': 'float32'} to {'TransactionAmt': 'float32', 'ProductCD': 'category', 'card1': 'int16', 'card2': 'float32', 'card3': 'float32', 'card4': 'category', 'card5': 'float32', 'card6': 'category', 'addr1': 'float32', 'addr2': 'float32', 'dist1': 'float32', 'dist2': 'float32', 'P_emaildomain': 'category', 'R_emaildomain': 'category', 'C1': 'float32', 'C2': 'float32', 'C3': 'float32', 'C4': 'float32', 'C5': 'float32', 'C6': 'float32', 'C7': 'float32', 'C8': 'float32', 'C9': 'float32', 'C10': 'float32', 'C11': 'float32', 'C12': 'float32', 'C13': 'float32', 'C14': 'float32', 'D1': 'float32', 'D2': 'float32', 'D3': 'float32', 'D4': 'float32', 'D5': 'float32', 'D6': 'float32', 'D7': 'float32', 'D8': 'float32', 'D9': 'float32', 'D10': 'float32', 'D11': 'float32', 'D12': 'float32', 'D13': 'float32', 'D14': 'float32', 'D15': 'float32', 'M1': 'category', 'M2': 'category', 'M3': 'category', 'M4': 'category', 'M5': 'category', 'M6': 'category', 'M7': 'category', 'M8': 'category', 'M9': 'category', 'V1': 'float32', 'V2': 'float32', 'V3': 'float32', 'V4': 'float32', 'V5': 'float32', 'V6': 'float32', 'V7': 'float32', 'V8': 'float32', 'V9': 'float32', 'V10': 'float32', 'V11': 'float32', 'V12': 'float32', 'V13': 'float32', 'V14': 'float32', 'V15': 'float32', 'V16': 'float32', 'V17': 'float32', 'V18': 'float32', 'V19': 'float32', 'V20': 'float32', 'V21': 'float32', 'V22': 'float32', 'V23': 'float32', 'V24': 'float32', 'V25': 'float32', 'V26': 'float32', 'V27': 'float32', 'V28': 'float32', 'V29': 'float32', 'V30': 'float32', 'V31': 'float32', 'V32': 'float32', 'V33': 'float32', 'V34': 'float32', 'V35': 'float32', 'V36': 'float32', 'V37': 'float32', 'V38': 'float32', 'V39': 'float32', 'V40': 'float32', 'V41': 'float32', 'V42': 'float32', 'V43': 'float32', 'V44': 'float32', 'V45': 'float32', 'V46': 'float32', 'V47': 'float32', 'V48': 'float32', 'V49': 'float32', 'V50': 'float32', 'V51': 'float32', 'V52': 'float32', 'V53': 'float32', 'V54': 'float32', 'V55': 'float32', 'V56': 'float32', 'V57': 'float32', 'V58': 'float32', 'V59': 'float32', 'V60': 'float32', 'V61': 'float32', 'V62': 'float32', 'V63': 'float32', 'V64': 'float32', 'V65': 'float32', 'V66': 'float32', 'V67': 'float32', 'V68': 'float32', 'V69': 'float32', 'V70': 'float32', 'V71': 'float32', 'V72': 'float32', 'V73': 'float32', 'V74': 'float32', 'V75': 'float32', 'V76': 'float32', 'V77': 'float32', 'V78': 'float32', 'V79': 'float32', 'V80': 'float32', 'V81': 'float32', 'V82': 'float32', 'V83': 'float32', 'V84': 'float32', 'V85': 'float32', 'V86': 'float32', 'V87': 'float32', 'V88': 'float32', 'V89': 'float32', 'V90': 'float32', 'V91': 'float32', 'V92': 'float32', 'V93': 'float32', 'V94': 'float32', 'V95': 'float32', 'V96': 'float32', 'V97': 'float32', 'V98': 'float32', 'V99': 'float32', 'V100': 'float32', 'V101': 'float32', 'V102': 'float32', 'V103': 'float32', 'V104': 'float32', 'V105': 'float32', 'V106': 'float32', 'V107': 'float32', 'V108': 'float32', 'V109': 'float32', 'V110': 'float32', 'V111': 'float32', 'V112': 'float32', 'V113': 'float32', 'V114': 'float32', 'V115': 'float32', 'V116': 'float32', 'V117': 'float32', 'V118': 'float32', 'V119': 'float32', 'V120': 'float32', 'V121': 'float32', 'V122': 'float32', 'V123': 'float32', 'V124': 'float32', 'V125': 'float32', 'V126': 'float32', 'V127': 'float32', 'V128': 'float32', 'V129': 'float32', 'V130': 'float32', 'V131': 'float32', 'V132': 'float32', 'V133': 'float32', 'V134': 'float32', 'V135': 'float32', 'V136': 'float32', 'V137': 'float32', 'V138': 'float32', 'V139': 'float32', 'V140': 'float32', 'V141': 'float32', 'V142': 'float32', 'V143': 'float32', 'V144': 'float32', 'V145': 'float32', 'V146': 'float32', 'V147': 'float32', 'V148': 'float32', 'V149': 'float32', 'V150': 'float32', 'V151': 'float32', 'V152': 'float32', 'V153': 'float32', 'V154': 'float32', 'V155': 'float32', 'V156': 'float32', 'V157': 'float32', 'V158': 'float32', 'V159': 'float32', 'V160': 'float32', 'V161': 'float32', 'V162': 'float32', 'V163': 'float32', 'V164': 'float32', 'V165': 'float32', 'V166': 'float32', 'V167': 'float32', 'V168': 'float32', 'V169': 'float32', 'V170': 'float32', 'V171': 'float32', 'V172': 'float32', 'V173': 'float32', 'V174': 'float32', 'V175': 'float32', 'V176': 'float32', 'V177': 'float32', 'V178': 'float32', 'V179': 'float32', 'V180': 'float32', 'V181': 'float32', 'V182': 'float32', 'V183': 'float32', 'V184': 'float32', 'V185': 'float32', 'V186': 'float32', 'V187': 'float32', 'V188': 'float32', 'V189': 'float32', 'V190': 'float32', 'V191': 'float32', 'V192': 'float32', 'V193': 'float32', 'V194': 'float32', 'V195': 'float32', 'V196': 'float32', 'V197': 'float32', 'V198': 'float32', 'V199': 'float32', 'V200': 'float32', 'V201': 'float32', 'V202': 'float32', 'V203': 'float32', 'V204': 'float32', 'V205': 'float32', 'V206': 'float32', 'V207': 'float32', 'V208': 'float32', 'V209': 'float32', 'V210': 'float32', 'V211': 'float32', 'V212': 'float32', 'V213': 'float32', 'V214': 'float32', 'V215': 'float32', 'V216': 'float32', 'V217': 'float32', 'V218': 'float32', 'V219': 'float32', 'V220': 'float32', 'V221': 'float32', 'V222': 'float32', 'V223': 'float32', 'V224': 'float32', 'V225': 'float32', 'V226': 'float32', 'V227': 'float32', 'V228': 'float32', 'V229': 'float32', 'V230': 'float32', 'V231': 'float32', 'V232': 'float32', 'V233': 'float32', 'V234': 'float32', 'V235': 'float32', 'V236': 'float32', 'V237': 'float32', 'V238': 'float32', 'V239': 'float32', 'V240': 'float32', 'V241': 'float32', 'V242': 'float32', 'V243': 'float32', 'V244': 'float32', 'V245': 'float32', 'V246': 'float32', 'V247': 'float32', 'V248': 'float32', 'V249': 'float32', 'V250': 'float32', 'V251': 'float32', 'V252': 'float32', 'V253': 'float32', 'V254': 'float32', 'V255': 'float32', 'V256': 'float32', 'V257': 'float32', 'V258': 'float32', 'V259': 'float32', 'V260': 'float32', 'V261': 'float32', 'V262': 'float32', 'V263': 'float32', 'V264': 'float32', 'V265': 'float32', 'V266': 'float32', 'V267': 'float32', 'V268': 'float32', 'V269': 'float32', 'V270': 'float32', 'V271': 'float32', 'V272': 'float32', 'V273': 'float32', 'V274': 'float32', 'V275': 'float32', 'V276': 'float32', 'V277': 'float32', 'V278': 'float32', 'V279': 'float32', 'V280': 'float32', 'V281': 'float32', 'V282': 'float32', 'V283': 'float32', 'V284': 'float32', 'V285': 'float32', 'V286': 'float32', 'V287': 'float32', 'V288': 'float32', 'V289': 'float32', 'V290': 'float32', 'V291': 'float32', 'V292': 'float32', 'V293': 'float32', 'V294': 'float32', 'V295': 'float32', 'V296': 'float32', 'V297': 'float32', 'V298': 'float32', 'V299': 'float32', 'V300': 'float32', 'V301': 'float32', 'V302': 'float32', 'V303': 'float32', 'V304': 'float32', 'V305': 'float32', 'V306': 'float32', 'V307': 'float32', 'V308': 'float32', 'V309': 'float32', 'V310': 'float32', 'V311': 'float32', 'V312': 'float32', 'V313': 'float32', 'V314': 'float32', 'V315': 'float32', 'V316': 'float32', 'V317': 'float32', 'V318': 'float32', 'V319': 'float32', 'V320': 'float32', 'V321': 'float32', 'V322': 'float32', 'V323': 'float32', 'V324': 'float32', 'V325': 'float32', 'V326': 'float32', 'V327': 'float32', 'V328': 'float32', 'V329': 'float32', 'V330': 'float32', 'V331': 'float32', 'V332': 'float32', 'V333': 'float32', 'V334': 'float32', 'V335': 'float32', 'V336': 'float32', 'V337': 'float32', 'V338': 'float32', 'V339': 'float32', 'id_01': 'float32', 'id_02': 'float32', 'id_03': 'float32', 'id_04': 'float32', 'id_05': 'float32', 'id_06': 'float32', 'id_07': 'float32', 'id_08': 'float32', 'id_09': 'float32', 'id_10': 'float32', 'id_11': 'float32', 'id_12': 'category', 'id_13': 'float32', 'id_14': 'float32', 'id_15': 'category', 'id_16': 'category', 'id_17': 'float32', 'id_18': 'float32', 'id_19': 'float32', 'id_20': 'float32', 'id_21': 'float32', 'id_22': 'float32', 'id_23': 'category', 'id_24': 'float32', 'id_25': 'float32', 'id_26': 'float32', 'id_27': 'category', 'id_28': 'category', 'id_29': 'category', 'id_30': 'category', 'id_31': 'category', 'id_32': 'float32', 'id_33': 'category', 'id_34': 'category', 'id_35': 'category', 'id_36': 'category', 'id_37': 'category', 'id_38': 'category', 'DeviceType': 'category', 'DeviceInfo': 'category', 'TimeInDay': 'int32', 'Cents': 'float32'}
2024-05-29 13:32:05,601 pid:62817 MainThread giskard.utils.logging_utils INFO     Predicted dataset with shape (35, 434) executed in 0:00:00.045713
Executed 'Accuracy on data slice β€œ`V11` < 0.500”' with arguments {'model': <giskard.models.function.PredictionFunctionModel object at 0x303fbc340>, 'dataset': <giskard.datasets.base.Dataset object at 0x303fbf9a0>, 'slicing_function': <giskard.slicing.slice.QueryBasedSliceFunction object at 0x30be67220>, 'threshold': 0.836}:
               Test failed
               Metric: 0.77


2024-05-29 13:32:05,656 pid:62817 MainThread giskard.datasets.base INFO     Casting dataframe columns from {'TransactionAmt': 'float32', 'ProductCD': 'category', 'card1': 'int16', 'card2': 'float32', 'card3': 'float32', 'card4': 'category', 'card5': 'float32', 'card6': 'category', 'addr1': 'float32', 'addr2': 'float32', 'dist1': 'float32', 'dist2': 'float32', 'P_emaildomain': 'category', 'R_emaildomain': 'category', 'C1': 'float32', 'C2': 'float32', 'C3': 'float32', 'C4': 'float32', 'C5': 'float32', 'C6': 'float32', 'C7': 'float32', 'C8': 'float32', 'C9': 'float32', 'C10': 'float32', 'C11': 'float32', 'C12': 'float32', 'C13': 'float32', 'C14': 'float32', 'D1': 'float32', 'D2': 'float32', 'D3': 'float32', 'D4': 'float32', 'D5': 'float32', 'D6': 'float32', 'D7': 'float32', 'D8': 'float32', 'D9': 'float32', 'D10': 'float32', 'D11': 'float32', 'D12': 'float32', 'D13': 'float32', 'D14': 'float32', 'D15': 'float32', 'M1': 'category', 'M2': 'category', 'M3': 'category', 'M4': 'category', 'M5': 'category', 'M6': 'category', 'M7': 'category', 'M8': 'category', 'M9': 'category', 'V1': 'float32', 'V2': 'float32', 'V3': 'float32', 'V4': 'float32', 'V5': 'float32', 'V6': 'float32', 'V7': 'float32', 'V8': 'float32', 'V9': 'float32', 'V10': 'float32', 'V11': 'float32', 'V12': 'float32', 'V13': 'float32', 'V14': 'float32', 'V15': 'float32', 'V16': 'float32', 'V17': 'float32', 'V18': 'float32', 'V19': 'float32', 'V20': 'float32', 'V21': 'float32', 'V22': 'float32', 'V23': 'float32', 'V24': 'float32', 'V25': 'float32', 'V26': 'float32', 'V27': 'float32', 'V28': 'float32', 'V29': 'float32', 'V30': 'float32', 'V31': 'float32', 'V32': 'float32', 'V33': 'float32', 'V34': 'float32', 'V35': 'float32', 'V36': 'float32', 'V37': 'float32', 'V38': 'float32', 'V39': 'float32', 'V40': 'float32', 'V41': 'float32', 'V42': 'float32', 'V43': 'float32', 'V44': 'float32', 'V45': 'float32', 'V46': 'float32', 'V47': 'float32', 'V48': 'float32', 'V49': 'float32', 'V50': 'float32', 'V51': 'float32', 'V52': 'float32', 'V53': 'float32', 'V54': 'float32', 'V55': 'float32', 'V56': 'float32', 'V57': 'float32', 'V58': 'float32', 'V59': 'float32', 'V60': 'float32', 'V61': 'float32', 'V62': 'float32', 'V63': 'float32', 'V64': 'float32', 'V65': 'float32', 'V66': 'float32', 'V67': 'float32', 'V68': 'float32', 'V69': 'float32', 'V70': 'float32', 'V71': 'float32', 'V72': 'float32', 'V73': 'float32', 'V74': 'float32', 'V75': 'float32', 'V76': 'float32', 'V77': 'float32', 'V78': 'float32', 'V79': 'float32', 'V80': 'float32', 'V81': 'float32', 'V82': 'float32', 'V83': 'float32', 'V84': 'float32', 'V85': 'float32', 'V86': 'float32', 'V87': 'float32', 'V88': 'float32', 'V89': 'float32', 'V90': 'float32', 'V91': 'float32', 'V92': 'float32', 'V93': 'float32', 'V94': 'float32', 'V95': 'float32', 'V96': 'float32', 'V97': 'float32', 'V98': 'float32', 'V99': 'float32', 'V100': 'float32', 'V101': 'float32', 'V102': 'float32', 'V103': 'float32', 'V104': 'float32', 'V105': 'float32', 'V106': 'float32', 'V107': 'float32', 'V108': 'float32', 'V109': 'float32', 'V110': 'float32', 'V111': 'float32', 'V112': 'float32', 'V113': 'float32', 'V114': 'float32', 'V115': 'float32', 'V116': 'float32', 'V117': 'float32', 'V118': 'float32', 'V119': 'float32', 'V120': 'float32', 'V121': 'float32', 'V122': 'float32', 'V123': 'float32', 'V124': 'float32', 'V125': 'float32', 'V126': 'float32', 'V127': 'float32', 'V128': 'float32', 'V129': 'float32', 'V130': 'float32', 'V131': 'float32', 'V132': 'float32', 'V133': 'float32', 'V134': 'float32', 'V135': 'float32', 'V136': 'float32', 'V137': 'float32', 'V138': 'float32', 'V139': 'float32', 'V140': 'float32', 'V141': 'float32', 'V142': 'float32', 'V143': 'float32', 'V144': 'float32', 'V145': 'float32', 'V146': 'float32', 'V147': 'float32', 'V148': 'float32', 'V149': 'float32', 'V150': 'float32', 'V151': 'float32', 'V152': 'float32', 'V153': 'float32', 'V154': 'float32', 'V155': 'float32', 'V156': 'float32', 'V157': 'float32', 'V158': 'float32', 'V159': 'float32', 'V160': 'float32', 'V161': 'float32', 'V162': 'float32', 'V163': 'float32', 'V164': 'float32', 'V165': 'float32', 'V166': 'float32', 'V167': 'float32', 'V168': 'float32', 'V169': 'float32', 'V170': 'float32', 'V171': 'float32', 'V172': 'float32', 'V173': 'float32', 'V174': 'float32', 'V175': 'float32', 'V176': 'float32', 'V177': 'float32', 'V178': 'float32', 'V179': 'float32', 'V180': 'float32', 'V181': 'float32', 'V182': 'float32', 'V183': 'float32', 'V184': 'float32', 'V185': 'float32', 'V186': 'float32', 'V187': 'float32', 'V188': 'float32', 'V189': 'float32', 'V190': 'float32', 'V191': 'float32', 'V192': 'float32', 'V193': 'float32', 'V194': 'float32', 'V195': 'float32', 'V196': 'float32', 'V197': 'float32', 'V198': 'float32', 'V199': 'float32', 'V200': 'float32', 'V201': 'float32', 'V202': 'float32', 'V203': 'float32', 'V204': 'float32', 'V205': 'float32', 'V206': 'float32', 'V207': 'float32', 'V208': 'float32', 'V209': 'float32', 'V210': 'float32', 'V211': 'float32', 'V212': 'float32', 'V213': 'float32', 'V214': 'float32', 'V215': 'float32', 'V216': 'float32', 'V217': 'float32', 'V218': 'float32', 'V219': 'float32', 'V220': 'float32', 'V221': 'float32', 'V222': 'float32', 'V223': 'float32', 'V224': 'float32', 'V225': 'float32', 'V226': 'float32', 'V227': 'float32', 'V228': 'float32', 'V229': 'float32', 'V230': 'float32', 'V231': 'float32', 'V232': 'float32', 'V233': 'float32', 'V234': 'float32', 'V235': 'float32', 'V236': 'float32', 'V237': 'float32', 'V238': 'float32', 'V239': 'float32', 'V240': 'float32', 'V241': 'float32', 'V242': 'float32', 'V243': 'float32', 'V244': 'float32', 'V245': 'float32', 'V246': 'float32', 'V247': 'float32', 'V248': 'float32', 'V249': 'float32', 'V250': 'float32', 'V251': 'float32', 'V252': 'float32', 'V253': 'float32', 'V254': 'float32', 'V255': 'float32', 'V256': 'float32', 'V257': 'float32', 'V258': 'float32', 'V259': 'float32', 'V260': 'float32', 'V261': 'float32', 'V262': 'float32', 'V263': 'float32', 'V264': 'float32', 'V265': 'float32', 'V266': 'float32', 'V267': 'float32', 'V268': 'float32', 'V269': 'float32', 'V270': 'float32', 'V271': 'float32', 'V272': 'float32', 'V273': 'float32', 'V274': 'float32', 'V275': 'float32', 'V276': 'float32', 'V277': 'float32', 'V278': 'float32', 'V279': 'float32', 'V280': 'float32', 'V281': 'float32', 'V282': 'float32', 'V283': 'float32', 'V284': 'float32', 'V285': 'float32', 'V286': 'float32', 'V287': 'float32', 'V288': 'float32', 'V289': 'float32', 'V290': 'float32', 'V291': 'float32', 'V292': 'float32', 'V293': 'float32', 'V294': 'float32', 'V295': 'float32', 'V296': 'float32', 'V297': 'float32', 'V298': 'float32', 'V299': 'float32', 'V300': 'float32', 'V301': 'float32', 'V302': 'float32', 'V303': 'float32', 'V304': 'float32', 'V305': 'float32', 'V306': 'float32', 'V307': 'float32', 'V308': 'float32', 'V309': 'float32', 'V310': 'float32', 'V311': 'float32', 'V312': 'float32', 'V313': 'float32', 'V314': 'float32', 'V315': 'float32', 'V316': 'float32', 'V317': 'float32', 'V318': 'float32', 'V319': 'float32', 'V320': 'float32', 'V321': 'float32', 'V322': 'float32', 'V323': 'float32', 'V324': 'float32', 'V325': 'float32', 'V326': 'float32', 'V327': 'float32', 'V328': 'float32', 'V329': 'float32', 'V330': 'float32', 'V331': 'float32', 'V332': 'float32', 'V333': 'float32', 'V334': 'float32', 'V335': 'float32', 'V336': 'float32', 'V337': 'float32', 'V338': 'float32', 'V339': 'float32', 'id_01': 'float32', 'id_02': 'float32', 'id_03': 'float32', 'id_04': 'float32', 'id_05': 'float32', 'id_06': 'float32', 'id_07': 'float32', 'id_08': 'float32', 'id_09': 'float32', 'id_10': 'float32', 'id_11': 'float32', 'id_12': 'category', 'id_13': 'float32', 'id_14': 'float32', 'id_15': 'category', 'id_16': 'category', 'id_17': 'float32', 'id_18': 'float32', 'id_19': 'float32', 'id_20': 'float32', 'id_21': 'float32', 'id_22': 'float32', 'id_23': 'category', 'id_24': 'float32', 'id_25': 'float32', 'id_26': 'float32', 'id_27': 'category', 'id_28': 'category', 'id_29': 'category', 'id_30': 'category', 'id_31': 'category', 'id_32': 'float32', 'id_33': 'category', 'id_34': 'category', 'id_35': 'category', 'id_36': 'category', 'id_37': 'category', 'id_38': 'category', 'DeviceType': 'category', 'DeviceInfo': 'category', 'TimeInDay': 'int32', 'Cents': 'float32'} to {'TransactionAmt': 'float32', 'ProductCD': 'category', 'card1': 'int16', 'card2': 'float32', 'card3': 'float32', 'card4': 'category', 'card5': 'float32', 'card6': 'category', 'addr1': 'float32', 'addr2': 'float32', 'dist1': 'float32', 'dist2': 'float32', 'P_emaildomain': 'category', 'R_emaildomain': 'category', 'C1': 'float32', 'C2': 'float32', 'C3': 'float32', 'C4': 'float32', 'C5': 'float32', 'C6': 'float32', 'C7': 'float32', 'C8': 'float32', 'C9': 'float32', 'C10': 'float32', 'C11': 'float32', 'C12': 'float32', 'C13': 'float32', 'C14': 'float32', 'D1': 'float32', 'D2': 'float32', 'D3': 'float32', 'D4': 'float32', 'D5': 'float32', 'D6': 'float32', 'D7': 'float32', 'D8': 'float32', 'D9': 'float32', 'D10': 'float32', 'D11': 'float32', 'D12': 'float32', 'D13': 'float32', 'D14': 'float32', 'D15': 'float32', 'M1': 'category', 'M2': 'category', 'M3': 'category', 'M4': 'category', 'M5': 'category', 'M6': 'category', 'M7': 'category', 'M8': 'category', 'M9': 'category', 'V1': 'float32', 'V2': 'float32', 'V3': 'float32', 'V4': 'float32', 'V5': 'float32', 'V6': 'float32', 'V7': 'float32', 'V8': 'float32', 'V9': 'float32', 'V10': 'float32', 'V11': 'float32', 'V12': 'float32', 'V13': 'float32', 'V14': 'float32', 'V15': 'float32', 'V16': 'float32', 'V17': 'float32', 'V18': 'float32', 'V19': 'float32', 'V20': 'float32', 'V21': 'float32', 'V22': 'float32', 'V23': 'float32', 'V24': 'float32', 'V25': 'float32', 'V26': 'float32', 'V27': 'float32', 'V28': 'float32', 'V29': 'float32', 'V30': 'float32', 'V31': 'float32', 'V32': 'float32', 'V33': 'float32', 'V34': 'float32', 'V35': 'float32', 'V36': 'float32', 'V37': 'float32', 'V38': 'float32', 'V39': 'float32', 'V40': 'float32', 'V41': 'float32', 'V42': 'float32', 'V43': 'float32', 'V44': 'float32', 'V45': 'float32', 'V46': 'float32', 'V47': 'float32', 'V48': 'float32', 'V49': 'float32', 'V50': 'float32', 'V51': 'float32', 'V52': 'float32', 'V53': 'float32', 'V54': 'float32', 'V55': 'float32', 'V56': 'float32', 'V57': 'float32', 'V58': 'float32', 'V59': 'float32', 'V60': 'float32', 'V61': 'float32', 'V62': 'float32', 'V63': 'float32', 'V64': 'float32', 'V65': 'float32', 'V66': 'float32', 'V67': 'float32', 'V68': 'float32', 'V69': 'float32', 'V70': 'float32', 'V71': 'float32', 'V72': 'float32', 'V73': 'float32', 'V74': 'float32', 'V75': 'float32', 'V76': 'float32', 'V77': 'float32', 'V78': 'float32', 'V79': 'float32', 'V80': 'float32', 'V81': 'float32', 'V82': 'float32', 'V83': 'float32', 'V84': 'float32', 'V85': 'float32', 'V86': 'float32', 'V87': 'float32', 'V88': 'float32', 'V89': 'float32', 'V90': 'float32', 'V91': 'float32', 'V92': 'float32', 'V93': 'float32', 'V94': 'float32', 'V95': 'float32', 'V96': 'float32', 'V97': 'float32', 'V98': 'float32', 'V99': 'float32', 'V100': 'float32', 'V101': 'float32', 'V102': 'float32', 'V103': 'float32', 'V104': 'float32', 'V105': 'float32', 'V106': 'float32', 'V107': 'float32', 'V108': 'float32', 'V109': 'float32', 'V110': 'float32', 'V111': 'float32', 'V112': 'float32', 'V113': 'float32', 'V114': 'float32', 'V115': 'float32', 'V116': 'float32', 'V117': 'float32', 'V118': 'float32', 'V119': 'float32', 'V120': 'float32', 'V121': 'float32', 'V122': 'float32', 'V123': 'float32', 'V124': 'float32', 'V125': 'float32', 'V126': 'float32', 'V127': 'float32', 'V128': 'float32', 'V129': 'float32', 'V130': 'float32', 'V131': 'float32', 'V132': 'float32', 'V133': 'float32', 'V134': 'float32', 'V135': 'float32', 'V136': 'float32', 'V137': 'float32', 'V138': 'float32', 'V139': 'float32', 'V140': 'float32', 'V141': 'float32', 'V142': 'float32', 'V143': 'float32', 'V144': 'float32', 'V145': 'float32', 'V146': 'float32', 'V147': 'float32', 'V148': 'float32', 'V149': 'float32', 'V150': 'float32', 'V151': 'float32', 'V152': 'float32', 'V153': 'float32', 'V154': 'float32', 'V155': 'float32', 'V156': 'float32', 'V157': 'float32', 'V158': 'float32', 'V159': 'float32', 'V160': 'float32', 'V161': 'float32', 'V162': 'float32', 'V163': 'float32', 'V164': 'float32', 'V165': 'float32', 'V166': 'float32', 'V167': 'float32', 'V168': 'float32', 'V169': 'float32', 'V170': 'float32', 'V171': 'float32', 'V172': 'float32', 'V173': 'float32', 'V174': 'float32', 'V175': 'float32', 'V176': 'float32', 'V177': 'float32', 'V178': 'float32', 'V179': 'float32', 'V180': 'float32', 'V181': 'float32', 'V182': 'float32', 'V183': 'float32', 'V184': 'float32', 'V185': 'float32', 'V186': 'float32', 'V187': 'float32', 'V188': 'float32', 'V189': 'float32', 'V190': 'float32', 'V191': 'float32', 'V192': 'float32', 'V193': 'float32', 'V194': 'float32', 'V195': 'float32', 'V196': 'float32', 'V197': 'float32', 'V198': 'float32', 'V199': 'float32', 'V200': 'float32', 'V201': 'float32', 'V202': 'float32', 'V203': 'float32', 'V204': 'float32', 'V205': 'float32', 'V206': 'float32', 'V207': 'float32', 'V208': 'float32', 'V209': 'float32', 'V210': 'float32', 'V211': 'float32', 'V212': 'float32', 'V213': 'float32', 'V214': 'float32', 'V215': 'float32', 'V216': 'float32', 'V217': 'float32', 'V218': 'float32', 'V219': 'float32', 'V220': 'float32', 'V221': 'float32', 'V222': 'float32', 'V223': 'float32', 'V224': 'float32', 'V225': 'float32', 'V226': 'float32', 'V227': 'float32', 'V228': 'float32', 'V229': 'float32', 'V230': 'float32', 'V231': 'float32', 'V232': 'float32', 'V233': 'float32', 'V234': 'float32', 'V235': 'float32', 'V236': 'float32', 'V237': 'float32', 'V238': 'float32', 'V239': 'float32', 'V240': 'float32', 'V241': 'float32', 'V242': 'float32', 'V243': 'float32', 'V244': 'float32', 'V245': 'float32', 'V246': 'float32', 'V247': 'float32', 'V248': 'float32', 'V249': 'float32', 'V250': 'float32', 'V251': 'float32', 'V252': 'float32', 'V253': 'float32', 'V254': 'float32', 'V255': 'float32', 'V256': 'float32', 'V257': 'float32', 'V258': 'float32', 'V259': 'float32', 'V260': 'float32', 'V261': 'float32', 'V262': 'float32', 'V263': 'float32', 'V264': 'float32', 'V265': 'float32', 'V266': 'float32', 'V267': 'float32', 'V268': 'float32', 'V269': 'float32', 'V270': 'float32', 'V271': 'float32', 'V272': 'float32', 'V273': 'float32', 'V274': 'float32', 'V275': 'float32', 'V276': 'float32', 'V277': 'float32', 'V278': 'float32', 'V279': 'float32', 'V280': 'float32', 'V281': 'float32', 'V282': 'float32', 'V283': 'float32', 'V284': 'float32', 'V285': 'float32', 'V286': 'float32', 'V287': 'float32', 'V288': 'float32', 'V289': 'float32', 'V290': 'float32', 'V291': 'float32', 'V292': 'float32', 'V293': 'float32', 'V294': 'float32', 'V295': 'float32', 'V296': 'float32', 'V297': 'float32', 'V298': 'float32', 'V299': 'float32', 'V300': 'float32', 'V301': 'float32', 'V302': 'float32', 'V303': 'float32', 'V304': 'float32', 'V305': 'float32', 'V306': 'float32', 'V307': 'float32', 'V308': 'float32', 'V309': 'float32', 'V310': 'float32', 'V311': 'float32', 'V312': 'float32', 'V313': 'float32', 'V314': 'float32', 'V315': 'float32', 'V316': 'float32', 'V317': 'float32', 'V318': 'float32', 'V319': 'float32', 'V320': 'float32', 'V321': 'float32', 'V322': 'float32', 'V323': 'float32', 'V324': 'float32', 'V325': 'float32', 'V326': 'float32', 'V327': 'float32', 'V328': 'float32', 'V329': 'float32', 'V330': 'float32', 'V331': 'float32', 'V332': 'float32', 'V333': 'float32', 'V334': 'float32', 'V335': 'float32', 'V336': 'float32', 'V337': 'float32', 'V338': 'float32', 'V339': 'float32', 'id_01': 'float32', 'id_02': 'float32', 'id_03': 'float32', 'id_04': 'float32', 'id_05': 'float32', 'id_06': 'float32', 'id_07': 'float32', 'id_08': 'float32', 'id_09': 'float32', 'id_10': 'float32', 'id_11': 'float32', 'id_12': 'category', 'id_13': 'float32', 'id_14': 'float32', 'id_15': 'category', 'id_16': 'category', 'id_17': 'float32', 'id_18': 'float32', 'id_19': 'float32', 'id_20': 'float32', 'id_21': 'float32', 'id_22': 'float32', 'id_23': 'category', 'id_24': 'float32', 'id_25': 'float32', 'id_26': 'float32', 'id_27': 'category', 'id_28': 'category', 'id_29': 'category', 'id_30': 'category', 'id_31': 'category', 'id_32': 'float32', 'id_33': 'category', 'id_34': 'category', 'id_35': 'category', 'id_36': 'category', 'id_37': 'category', 'id_38': 'category', 'DeviceType': 'category', 'DeviceInfo': 'category', 'TimeInDay': 'int32', 'Cents': 'float32'}
2024-05-29 13:32:05,678 pid:62817 MainThread giskard.utils.logging_utils INFO     Predicted dataset with shape (49, 434) executed in 0:00:00.045881
Executed 'Precision on data slice β€œ`P_emaildomain` == "gmail.com"”' with arguments {'model': <giskard.models.function.PredictionFunctionModel object at 0x303fbc340>, 'dataset': <giskard.datasets.base.Dataset object at 0x303fbf9a0>, 'slicing_function': <giskard.slicing.slice.QueryBasedSliceFunction object at 0x3065560e0>, 'threshold': 0.7707547169811321}:
               Test failed
               Metric: 0.71


2024-05-29 13:32:05,731 pid:62817 MainThread giskard.datasets.base INFO     Casting dataframe columns from {'TransactionAmt': 'float32', 'ProductCD': 'category', 'card1': 'int16', 'card2': 'float32', 'card3': 'float32', 'card4': 'category', 'card5': 'float32', 'card6': 'category', 'addr1': 'float32', 'addr2': 'float32', 'dist1': 'float32', 'dist2': 'float32', 'P_emaildomain': 'category', 'R_emaildomain': 'category', 'C1': 'float32', 'C2': 'float32', 'C3': 'float32', 'C4': 'float32', 'C5': 'float32', 'C6': 'float32', 'C7': 'float32', 'C8': 'float32', 'C9': 'float32', 'C10': 'float32', 'C11': 'float32', 'C12': 'float32', 'C13': 'float32', 'C14': 'float32', 'D1': 'float32', 'D2': 'float32', 'D3': 'float32', 'D4': 'float32', 'D5': 'float32', 'D6': 'float32', 'D7': 'float32', 'D8': 'float32', 'D9': 'float32', 'D10': 'float32', 'D11': 'float32', 'D12': 'float32', 'D13': 'float32', 'D14': 'float32', 'D15': 'float32', 'M1': 'category', 'M2': 'category', 'M3': 'category', 'M4': 'category', 'M5': 'category', 'M6': 'category', 'M7': 'category', 'M8': 'category', 'M9': 'category', 'V1': 'float32', 'V2': 'float32', 'V3': 'float32', 'V4': 'float32', 'V5': 'float32', 'V6': 'float32', 'V7': 'float32', 'V8': 'float32', 'V9': 'float32', 'V10': 'float32', 'V11': 'float32', 'V12': 'float32', 'V13': 'float32', 'V14': 'float32', 'V15': 'float32', 'V16': 'float32', 'V17': 'float32', 'V18': 'float32', 'V19': 'float32', 'V20': 'float32', 'V21': 'float32', 'V22': 'float32', 'V23': 'float32', 'V24': 'float32', 'V25': 'float32', 'V26': 'float32', 'V27': 'float32', 'V28': 'float32', 'V29': 'float32', 'V30': 'float32', 'V31': 'float32', 'V32': 'float32', 'V33': 'float32', 'V34': 'float32', 'V35': 'float32', 'V36': 'float32', 'V37': 'float32', 'V38': 'float32', 'V39': 'float32', 'V40': 'float32', 'V41': 'float32', 'V42': 'float32', 'V43': 'float32', 'V44': 'float32', 'V45': 'float32', 'V46': 'float32', 'V47': 'float32', 'V48': 'float32', 'V49': 'float32', 'V50': 'float32', 'V51': 'float32', 'V52': 'float32', 'V53': 'float32', 'V54': 'float32', 'V55': 'float32', 'V56': 'float32', 'V57': 'float32', 'V58': 'float32', 'V59': 'float32', 'V60': 'float32', 'V61': 'float32', 'V62': 'float32', 'V63': 'float32', 'V64': 'float32', 'V65': 'float32', 'V66': 'float32', 'V67': 'float32', 'V68': 'float32', 'V69': 'float32', 'V70': 'float32', 'V71': 'float32', 'V72': 'float32', 'V73': 'float32', 'V74': 'float32', 'V75': 'float32', 'V76': 'float32', 'V77': 'float32', 'V78': 'float32', 'V79': 'float32', 'V80': 'float32', 'V81': 'float32', 'V82': 'float32', 'V83': 'float32', 'V84': 'float32', 'V85': 'float32', 'V86': 'float32', 'V87': 'float32', 'V88': 'float32', 'V89': 'float32', 'V90': 'float32', 'V91': 'float32', 'V92': 'float32', 'V93': 'float32', 'V94': 'float32', 'V95': 'float32', 'V96': 'float32', 'V97': 'float32', 'V98': 'float32', 'V99': 'float32', 'V100': 'float32', 'V101': 'float32', 'V102': 'float32', 'V103': 'float32', 'V104': 'float32', 'V105': 'float32', 'V106': 'float32', 'V107': 'float32', 'V108': 'float32', 'V109': 'float32', 'V110': 'float32', 'V111': 'float32', 'V112': 'float32', 'V113': 'float32', 'V114': 'float32', 'V115': 'float32', 'V116': 'float32', 'V117': 'float32', 'V118': 'float32', 'V119': 'float32', 'V120': 'float32', 'V121': 'float32', 'V122': 'float32', 'V123': 'float32', 'V124': 'float32', 'V125': 'float32', 'V126': 'float32', 'V127': 'float32', 'V128': 'float32', 'V129': 'float32', 'V130': 'float32', 'V131': 'float32', 'V132': 'float32', 'V133': 'float32', 'V134': 'float32', 'V135': 'float32', 'V136': 'float32', 'V137': 'float32', 'V138': 'float32', 'V139': 'float32', 'V140': 'float32', 'V141': 'float32', 'V142': 'float32', 'V143': 'float32', 'V144': 'float32', 'V145': 'float32', 'V146': 'float32', 'V147': 'float32', 'V148': 'float32', 'V149': 'float32', 'V150': 'float32', 'V151': 'float32', 'V152': 'float32', 'V153': 'float32', 'V154': 'float32', 'V155': 'float32', 'V156': 'float32', 'V157': 'float32', 'V158': 'float32', 'V159': 'float32', 'V160': 'float32', 'V161': 'float32', 'V162': 'float32', 'V163': 'float32', 'V164': 'float32', 'V165': 'float32', 'V166': 'float32', 'V167': 'float32', 'V168': 'float32', 'V169': 'float32', 'V170': 'float32', 'V171': 'float32', 'V172': 'float32', 'V173': 'float32', 'V174': 'float32', 'V175': 'float32', 'V176': 'float32', 'V177': 'float32', 'V178': 'float32', 'V179': 'float32', 'V180': 'float32', 'V181': 'float32', 'V182': 'float32', 'V183': 'float32', 'V184': 'float32', 'V185': 'float32', 'V186': 'float32', 'V187': 'float32', 'V188': 'float32', 'V189': 'float32', 'V190': 'float32', 'V191': 'float32', 'V192': 'float32', 'V193': 'float32', 'V194': 'float32', 'V195': 'float32', 'V196': 'float32', 'V197': 'float32', 'V198': 'float32', 'V199': 'float32', 'V200': 'float32', 'V201': 'float32', 'V202': 'float32', 'V203': 'float32', 'V204': 'float32', 'V205': 'float32', 'V206': 'float32', 'V207': 'float32', 'V208': 'float32', 'V209': 'float32', 'V210': 'float32', 'V211': 'float32', 'V212': 'float32', 'V213': 'float32', 'V214': 'float32', 'V215': 'float32', 'V216': 'float32', 'V217': 'float32', 'V218': 'float32', 'V219': 'float32', 'V220': 'float32', 'V221': 'float32', 'V222': 'float32', 'V223': 'float32', 'V224': 'float32', 'V225': 'float32', 'V226': 'float32', 'V227': 'float32', 'V228': 'float32', 'V229': 'float32', 'V230': 'float32', 'V231': 'float32', 'V232': 'float32', 'V233': 'float32', 'V234': 'float32', 'V235': 'float32', 'V236': 'float32', 'V237': 'float32', 'V238': 'float32', 'V239': 'float32', 'V240': 'float32', 'V241': 'float32', 'V242': 'float32', 'V243': 'float32', 'V244': 'float32', 'V245': 'float32', 'V246': 'float32', 'V247': 'float32', 'V248': 'float32', 'V249': 'float32', 'V250': 'float32', 'V251': 'float32', 'V252': 'float32', 'V253': 'float32', 'V254': 'float32', 'V255': 'float32', 'V256': 'float32', 'V257': 'float32', 'V258': 'float32', 'V259': 'float32', 'V260': 'float32', 'V261': 'float32', 'V262': 'float32', 'V263': 'float32', 'V264': 'float32', 'V265': 'float32', 'V266': 'float32', 'V267': 'float32', 'V268': 'float32', 'V269': 'float32', 'V270': 'float32', 'V271': 'float32', 'V272': 'float32', 'V273': 'float32', 'V274': 'float32', 'V275': 'float32', 'V276': 'float32', 'V277': 'float32', 'V278': 'float32', 'V279': 'float32', 'V280': 'float32', 'V281': 'float32', 'V282': 'float32', 'V283': 'float32', 'V284': 'float32', 'V285': 'float32', 'V286': 'float32', 'V287': 'float32', 'V288': 'float32', 'V289': 'float32', 'V290': 'float32', 'V291': 'float32', 'V292': 'float32', 'V293': 'float32', 'V294': 'float32', 'V295': 'float32', 'V296': 'float32', 'V297': 'float32', 'V298': 'float32', 'V299': 'float32', 'V300': 'float32', 'V301': 'float32', 'V302': 'float32', 'V303': 'float32', 'V304': 'float32', 'V305': 'float32', 'V306': 'float32', 'V307': 'float32', 'V308': 'float32', 'V309': 'float32', 'V310': 'float32', 'V311': 'float32', 'V312': 'float32', 'V313': 'float32', 'V314': 'float32', 'V315': 'float32', 'V316': 'float32', 'V317': 'float32', 'V318': 'float32', 'V319': 'float32', 'V320': 'float32', 'V321': 'float32', 'V322': 'float32', 'V323': 'float32', 'V324': 'float32', 'V325': 'float32', 'V326': 'float32', 'V327': 'float32', 'V328': 'float32', 'V329': 'float32', 'V330': 'float32', 'V331': 'float32', 'V332': 'float32', 'V333': 'float32', 'V334': 'float32', 'V335': 'float32', 'V336': 'float32', 'V337': 'float32', 'V338': 'float32', 'V339': 'float32', 'id_01': 'float32', 'id_02': 'float32', 'id_03': 'float32', 'id_04': 'float32', 'id_05': 'float32', 'id_06': 'float32', 'id_07': 'float32', 'id_08': 'float32', 'id_09': 'float32', 'id_10': 'float32', 'id_11': 'float32', 'id_12': 'category', 'id_13': 'float32', 'id_14': 'float32', 'id_15': 'category', 'id_16': 'category', 'id_17': 'float32', 'id_18': 'float32', 'id_19': 'float32', 'id_20': 'float32', 'id_21': 'float32', 'id_22': 'float32', 'id_23': 'category', 'id_24': 'float32', 'id_25': 'float32', 'id_26': 'float32', 'id_27': 'category', 'id_28': 'category', 'id_29': 'category', 'id_30': 'category', 'id_31': 'category', 'id_32': 'float32', 'id_33': 'category', 'id_34': 'category', 'id_35': 'category', 'id_36': 'category', 'id_37': 'category', 'id_38': 'category', 'DeviceType': 'category', 'DeviceInfo': 'category', 'TimeInDay': 'int32', 'Cents': 'float32'} to {'TransactionAmt': 'float32', 'ProductCD': 'category', 'card1': 'int16', 'card2': 'float32', 'card3': 'float32', 'card4': 'category', 'card5': 'float32', 'card6': 'category', 'addr1': 'float32', 'addr2': 'float32', 'dist1': 'float32', 'dist2': 'float32', 'P_emaildomain': 'category', 'R_emaildomain': 'category', 'C1': 'float32', 'C2': 'float32', 'C3': 'float32', 'C4': 'float32', 'C5': 'float32', 'C6': 'float32', 'C7': 'float32', 'C8': 'float32', 'C9': 'float32', 'C10': 'float32', 'C11': 'float32', 'C12': 'float32', 'C13': 'float32', 'C14': 'float32', 'D1': 'float32', 'D2': 'float32', 'D3': 'float32', 'D4': 'float32', 'D5': 'float32', 'D6': 'float32', 'D7': 'float32', 'D8': 'float32', 'D9': 'float32', 'D10': 'float32', 'D11': 'float32', 'D12': 'float32', 'D13': 'float32', 'D14': 'float32', 'D15': 'float32', 'M1': 'category', 'M2': 'category', 'M3': 'category', 'M4': 'category', 'M5': 'category', 'M6': 'category', 'M7': 'category', 'M8': 'category', 'M9': 'category', 'V1': 'float32', 'V2': 'float32', 'V3': 'float32', 'V4': 'float32', 'V5': 'float32', 'V6': 'float32', 'V7': 'float32', 'V8': 'float32', 'V9': 'float32', 'V10': 'float32', 'V11': 'float32', 'V12': 'float32', 'V13': 'float32', 'V14': 'float32', 'V15': 'float32', 'V16': 'float32', 'V17': 'float32', 'V18': 'float32', 'V19': 'float32', 'V20': 'float32', 'V21': 'float32', 'V22': 'float32', 'V23': 'float32', 'V24': 'float32', 'V25': 'float32', 'V26': 'float32', 'V27': 'float32', 'V28': 'float32', 'V29': 'float32', 'V30': 'float32', 'V31': 'float32', 'V32': 'float32', 'V33': 'float32', 'V34': 'float32', 'V35': 'float32', 'V36': 'float32', 'V37': 'float32', 'V38': 'float32', 'V39': 'float32', 'V40': 'float32', 'V41': 'float32', 'V42': 'float32', 'V43': 'float32', 'V44': 'float32', 'V45': 'float32', 'V46': 'float32', 'V47': 'float32', 'V48': 'float32', 'V49': 'float32', 'V50': 'float32', 'V51': 'float32', 'V52': 'float32', 'V53': 'float32', 'V54': 'float32', 'V55': 'float32', 'V56': 'float32', 'V57': 'float32', 'V58': 'float32', 'V59': 'float32', 'V60': 'float32', 'V61': 'float32', 'V62': 'float32', 'V63': 'float32', 'V64': 'float32', 'V65': 'float32', 'V66': 'float32', 'V67': 'float32', 'V68': 'float32', 'V69': 'float32', 'V70': 'float32', 'V71': 'float32', 'V72': 'float32', 'V73': 'float32', 'V74': 'float32', 'V75': 'float32', 'V76': 'float32', 'V77': 'float32', 'V78': 'float32', 'V79': 'float32', 'V80': 'float32', 'V81': 'float32', 'V82': 'float32', 'V83': 'float32', 'V84': 'float32', 'V85': 'float32', 'V86': 'float32', 'V87': 'float32', 'V88': 'float32', 'V89': 'float32', 'V90': 'float32', 'V91': 'float32', 'V92': 'float32', 'V93': 'float32', 'V94': 'float32', 'V95': 'float32', 'V96': 'float32', 'V97': 'float32', 'V98': 'float32', 'V99': 'float32', 'V100': 'float32', 'V101': 'float32', 'V102': 'float32', 'V103': 'float32', 'V104': 'float32', 'V105': 'float32', 'V106': 'float32', 'V107': 'float32', 'V108': 'float32', 'V109': 'float32', 'V110': 'float32', 'V111': 'float32', 'V112': 'float32', 'V113': 'float32', 'V114': 'float32', 'V115': 'float32', 'V116': 'float32', 'V117': 'float32', 'V118': 'float32', 'V119': 'float32', 'V120': 'float32', 'V121': 'float32', 'V122': 'float32', 'V123': 'float32', 'V124': 'float32', 'V125': 'float32', 'V126': 'float32', 'V127': 'float32', 'V128': 'float32', 'V129': 'float32', 'V130': 'float32', 'V131': 'float32', 'V132': 'float32', 'V133': 'float32', 'V134': 'float32', 'V135': 'float32', 'V136': 'float32', 'V137': 'float32', 'V138': 'float32', 'V139': 'float32', 'V140': 'float32', 'V141': 'float32', 'V142': 'float32', 'V143': 'float32', 'V144': 'float32', 'V145': 'float32', 'V146': 'float32', 'V147': 'float32', 'V148': 'float32', 'V149': 'float32', 'V150': 'float32', 'V151': 'float32', 'V152': 'float32', 'V153': 'float32', 'V154': 'float32', 'V155': 'float32', 'V156': 'float32', 'V157': 'float32', 'V158': 'float32', 'V159': 'float32', 'V160': 'float32', 'V161': 'float32', 'V162': 'float32', 'V163': 'float32', 'V164': 'float32', 'V165': 'float32', 'V166': 'float32', 'V167': 'float32', 'V168': 'float32', 'V169': 'float32', 'V170': 'float32', 'V171': 'float32', 'V172': 'float32', 'V173': 'float32', 'V174': 'float32', 'V175': 'float32', 'V176': 'float32', 'V177': 'float32', 'V178': 'float32', 'V179': 'float32', 'V180': 'float32', 'V181': 'float32', 'V182': 'float32', 'V183': 'float32', 'V184': 'float32', 'V185': 'float32', 'V186': 'float32', 'V187': 'float32', 'V188': 'float32', 'V189': 'float32', 'V190': 'float32', 'V191': 'float32', 'V192': 'float32', 'V193': 'float32', 'V194': 'float32', 'V195': 'float32', 'V196': 'float32', 'V197': 'float32', 'V198': 'float32', 'V199': 'float32', 'V200': 'float32', 'V201': 'float32', 'V202': 'float32', 'V203': 'float32', 'V204': 'float32', 'V205': 'float32', 'V206': 'float32', 'V207': 'float32', 'V208': 'float32', 'V209': 'float32', 'V210': 'float32', 'V211': 'float32', 'V212': 'float32', 'V213': 'float32', 'V214': 'float32', 'V215': 'float32', 'V216': 'float32', 'V217': 'float32', 'V218': 'float32', 'V219': 'float32', 'V220': 'float32', 'V221': 'float32', 'V222': 'float32', 'V223': 'float32', 'V224': 'float32', 'V225': 'float32', 'V226': 'float32', 'V227': 'float32', 'V228': 'float32', 'V229': 'float32', 'V230': 'float32', 'V231': 'float32', 'V232': 'float32', 'V233': 'float32', 'V234': 'float32', 'V235': 'float32', 'V236': 'float32', 'V237': 'float32', 'V238': 'float32', 'V239': 'float32', 'V240': 'float32', 'V241': 'float32', 'V242': 'float32', 'V243': 'float32', 'V244': 'float32', 'V245': 'float32', 'V246': 'float32', 'V247': 'float32', 'V248': 'float32', 'V249': 'float32', 'V250': 'float32', 'V251': 'float32', 'V252': 'float32', 'V253': 'float32', 'V254': 'float32', 'V255': 'float32', 'V256': 'float32', 'V257': 'float32', 'V258': 'float32', 'V259': 'float32', 'V260': 'float32', 'V261': 'float32', 'V262': 'float32', 'V263': 'float32', 'V264': 'float32', 'V265': 'float32', 'V266': 'float32', 'V267': 'float32', 'V268': 'float32', 'V269': 'float32', 'V270': 'float32', 'V271': 'float32', 'V272': 'float32', 'V273': 'float32', 'V274': 'float32', 'V275': 'float32', 'V276': 'float32', 'V277': 'float32', 'V278': 'float32', 'V279': 'float32', 'V280': 'float32', 'V281': 'float32', 'V282': 'float32', 'V283': 'float32', 'V284': 'float32', 'V285': 'float32', 'V286': 'float32', 'V287': 'float32', 'V288': 'float32', 'V289': 'float32', 'V290': 'float32', 'V291': 'float32', 'V292': 'float32', 'V293': 'float32', 'V294': 'float32', 'V295': 'float32', 'V296': 'float32', 'V297': 'float32', 'V298': 'float32', 'V299': 'float32', 'V300': 'float32', 'V301': 'float32', 'V302': 'float32', 'V303': 'float32', 'V304': 'float32', 'V305': 'float32', 'V306': 'float32', 'V307': 'float32', 'V308': 'float32', 'V309': 'float32', 'V310': 'float32', 'V311': 'float32', 'V312': 'float32', 'V313': 'float32', 'V314': 'float32', 'V315': 'float32', 'V316': 'float32', 'V317': 'float32', 'V318': 'float32', 'V319': 'float32', 'V320': 'float32', 'V321': 'float32', 'V322': 'float32', 'V323': 'float32', 'V324': 'float32', 'V325': 'float32', 'V326': 'float32', 'V327': 'float32', 'V328': 'float32', 'V329': 'float32', 'V330': 'float32', 'V331': 'float32', 'V332': 'float32', 'V333': 'float32', 'V334': 'float32', 'V335': 'float32', 'V336': 'float32', 'V337': 'float32', 'V338': 'float32', 'V339': 'float32', 'id_01': 'float32', 'id_02': 'float32', 'id_03': 'float32', 'id_04': 'float32', 'id_05': 'float32', 'id_06': 'float32', 'id_07': 'float32', 'id_08': 'float32', 'id_09': 'float32', 'id_10': 'float32', 'id_11': 'float32', 'id_12': 'category', 'id_13': 'float32', 'id_14': 'float32', 'id_15': 'category', 'id_16': 'category', 'id_17': 'float32', 'id_18': 'float32', 'id_19': 'float32', 'id_20': 'float32', 'id_21': 'float32', 'id_22': 'float32', 'id_23': 'category', 'id_24': 'float32', 'id_25': 'float32', 'id_26': 'float32', 'id_27': 'category', 'id_28': 'category', 'id_29': 'category', 'id_30': 'category', 'id_31': 'category', 'id_32': 'float32', 'id_33': 'category', 'id_34': 'category', 'id_35': 'category', 'id_36': 'category', 'id_37': 'category', 'id_38': 'category', 'DeviceType': 'category', 'DeviceInfo': 'category', 'TimeInDay': 'int32', 'Cents': 'float32'}
2024-05-29 13:32:05,753 pid:62817 MainThread giskard.utils.logging_utils INFO     Predicted dataset with shape (46, 434) executed in 0:00:00.045060
Executed 'Precision on data slice β€œ`M6` == "T"”' with arguments {'model': <giskard.models.function.PredictionFunctionModel object at 0x303fbc340>, 'dataset': <giskard.datasets.base.Dataset object at 0x303fbf9a0>, 'slicing_function': <giskard.slicing.slice.QueryBasedSliceFunction object at 0x30bda0580>, 'threshold': 0.7707547169811321}:
               Test failed
               Metric: 0.71


2024-05-29 13:32:05,809 pid:62817 MainThread giskard.datasets.base INFO     Casting dataframe columns from {'TransactionAmt': 'float32', 'ProductCD': 'category', 'card1': 'int16', 'card2': 'float32', 'card3': 'float32', 'card4': 'category', 'card5': 'float32', 'card6': 'category', 'addr1': 'float32', 'addr2': 'float32', 'dist1': 'float32', 'dist2': 'float32', 'P_emaildomain': 'category', 'R_emaildomain': 'category', 'C1': 'float32', 'C2': 'float32', 'C3': 'float32', 'C4': 'float32', 'C5': 'float32', 'C6': 'float32', 'C7': 'float32', 'C8': 'float32', 'C9': 'float32', 'C10': 'float32', 'C11': 'float32', 'C12': 'float32', 'C13': 'float32', 'C14': 'float32', 'D1': 'float32', 'D2': 'float32', 'D3': 'float32', 'D4': 'float32', 'D5': 'float32', 'D6': 'float32', 'D7': 'float32', 'D8': 'float32', 'D9': 'float32', 'D10': 'float32', 'D11': 'float32', 'D12': 'float32', 'D13': 'float32', 'D14': 'float32', 'D15': 'float32', 'M1': 'category', 'M2': 'category', 'M3': 'category', 'M4': 'category', 'M5': 'category', 'M6': 'category', 'M7': 'category', 'M8': 'category', 'M9': 'category', 'V1': 'float32', 'V2': 'float32', 'V3': 'float32', 'V4': 'float32', 'V5': 'float32', 'V6': 'float32', 'V7': 'float32', 'V8': 'float32', 'V9': 'float32', 'V10': 'float32', 'V11': 'float32', 'V12': 'float32', 'V13': 'float32', 'V14': 'float32', 'V15': 'float32', 'V16': 'float32', 'V17': 'float32', 'V18': 'float32', 'V19': 'float32', 'V20': 'float32', 'V21': 'float32', 'V22': 'float32', 'V23': 'float32', 'V24': 'float32', 'V25': 'float32', 'V26': 'float32', 'V27': 'float32', 'V28': 'float32', 'V29': 'float32', 'V30': 'float32', 'V31': 'float32', 'V32': 'float32', 'V33': 'float32', 'V34': 'float32', 'V35': 'float32', 'V36': 'float32', 'V37': 'float32', 'V38': 'float32', 'V39': 'float32', 'V40': 'float32', 'V41': 'float32', 'V42': 'float32', 'V43': 'float32', 'V44': 'float32', 'V45': 'float32', 'V46': 'float32', 'V47': 'float32', 'V48': 'float32', 'V49': 'float32', 'V50': 'float32', 'V51': 'float32', 'V52': 'float32', 'V53': 'float32', 'V54': 'float32', 'V55': 'float32', 'V56': 'float32', 'V57': 'float32', 'V58': 'float32', 'V59': 'float32', 'V60': 'float32', 'V61': 'float32', 'V62': 'float32', 'V63': 'float32', 'V64': 'float32', 'V65': 'float32', 'V66': 'float32', 'V67': 'float32', 'V68': 'float32', 'V69': 'float32', 'V70': 'float32', 'V71': 'float32', 'V72': 'float32', 'V73': 'float32', 'V74': 'float32', 'V75': 'float32', 'V76': 'float32', 'V77': 'float32', 'V78': 'float32', 'V79': 'float32', 'V80': 'float32', 'V81': 'float32', 'V82': 'float32', 'V83': 'float32', 'V84': 'float32', 'V85': 'float32', 'V86': 'float32', 'V87': 'float32', 'V88': 'float32', 'V89': 'float32', 'V90': 'float32', 'V91': 'float32', 'V92': 'float32', 'V93': 'float32', 'V94': 'float32', 'V95': 'float32', 'V96': 'float32', 'V97': 'float32', 'V98': 'float32', 'V99': 'float32', 'V100': 'float32', 'V101': 'float32', 'V102': 'float32', 'V103': 'float32', 'V104': 'float32', 'V105': 'float32', 'V106': 'float32', 'V107': 'float32', 'V108': 'float32', 'V109': 'float32', 'V110': 'float32', 'V111': 'float32', 'V112': 'float32', 'V113': 'float32', 'V114': 'float32', 'V115': 'float32', 'V116': 'float32', 'V117': 'float32', 'V118': 'float32', 'V119': 'float32', 'V120': 'float32', 'V121': 'float32', 'V122': 'float32', 'V123': 'float32', 'V124': 'float32', 'V125': 'float32', 'V126': 'float32', 'V127': 'float32', 'V128': 'float32', 'V129': 'float32', 'V130': 'float32', 'V131': 'float32', 'V132': 'float32', 'V133': 'float32', 'V134': 'float32', 'V135': 'float32', 'V136': 'float32', 'V137': 'float32', 'V138': 'float32', 'V139': 'float32', 'V140': 'float32', 'V141': 'float32', 'V142': 'float32', 'V143': 'float32', 'V144': 'float32', 'V145': 'float32', 'V146': 'float32', 'V147': 'float32', 'V148': 'float32', 'V149': 'float32', 'V150': 'float32', 'V151': 'float32', 'V152': 'float32', 'V153': 'float32', 'V154': 'float32', 'V155': 'float32', 'V156': 'float32', 'V157': 'float32', 'V158': 'float32', 'V159': 'float32', 'V160': 'float32', 'V161': 'float32', 'V162': 'float32', 'V163': 'float32', 'V164': 'float32', 'V165': 'float32', 'V166': 'float32', 'V167': 'float32', 'V168': 'float32', 'V169': 'float32', 'V170': 'float32', 'V171': 'float32', 'V172': 'float32', 'V173': 'float32', 'V174': 'float32', 'V175': 'float32', 'V176': 'float32', 'V177': 'float32', 'V178': 'float32', 'V179': 'float32', 'V180': 'float32', 'V181': 'float32', 'V182': 'float32', 'V183': 'float32', 'V184': 'float32', 'V185': 'float32', 'V186': 'float32', 'V187': 'float32', 'V188': 'float32', 'V189': 'float32', 'V190': 'float32', 'V191': 'float32', 'V192': 'float32', 'V193': 'float32', 'V194': 'float32', 'V195': 'float32', 'V196': 'float32', 'V197': 'float32', 'V198': 'float32', 'V199': 'float32', 'V200': 'float32', 'V201': 'float32', 'V202': 'float32', 'V203': 'float32', 'V204': 'float32', 'V205': 'float32', 'V206': 'float32', 'V207': 'float32', 'V208': 'float32', 'V209': 'float32', 'V210': 'float32', 'V211': 'float32', 'V212': 'float32', 'V213': 'float32', 'V214': 'float32', 'V215': 'float32', 'V216': 'float32', 'V217': 'float32', 'V218': 'float32', 'V219': 'float32', 'V220': 'float32', 'V221': 'float32', 'V222': 'float32', 'V223': 'float32', 'V224': 'float32', 'V225': 'float32', 'V226': 'float32', 'V227': 'float32', 'V228': 'float32', 'V229': 'float32', 'V230': 'float32', 'V231': 'float32', 'V232': 'float32', 'V233': 'float32', 'V234': 'float32', 'V235': 'float32', 'V236': 'float32', 'V237': 'float32', 'V238': 'float32', 'V239': 'float32', 'V240': 'float32', 'V241': 'float32', 'V242': 'float32', 'V243': 'float32', 'V244': 'float32', 'V245': 'float32', 'V246': 'float32', 'V247': 'float32', 'V248': 'float32', 'V249': 'float32', 'V250': 'float32', 'V251': 'float32', 'V252': 'float32', 'V253': 'float32', 'V254': 'float32', 'V255': 'float32', 'V256': 'float32', 'V257': 'float32', 'V258': 'float32', 'V259': 'float32', 'V260': 'float32', 'V261': 'float32', 'V262': 'float32', 'V263': 'float32', 'V264': 'float32', 'V265': 'float32', 'V266': 'float32', 'V267': 'float32', 'V268': 'float32', 'V269': 'float32', 'V270': 'float32', 'V271': 'float32', 'V272': 'float32', 'V273': 'float32', 'V274': 'float32', 'V275': 'float32', 'V276': 'float32', 'V277': 'float32', 'V278': 'float32', 'V279': 'float32', 'V280': 'float32', 'V281': 'float32', 'V282': 'float32', 'V283': 'float32', 'V284': 'float32', 'V285': 'float32', 'V286': 'float32', 'V287': 'float32', 'V288': 'float32', 'V289': 'float32', 'V290': 'float32', 'V291': 'float32', 'V292': 'float32', 'V293': 'float32', 'V294': 'float32', 'V295': 'float32', 'V296': 'float32', 'V297': 'float32', 'V298': 'float32', 'V299': 'float32', 'V300': 'float32', 'V301': 'float32', 'V302': 'float32', 'V303': 'float32', 'V304': 'float32', 'V305': 'float32', 'V306': 'float32', 'V307': 'float32', 'V308': 'float32', 'V309': 'float32', 'V310': 'float32', 'V311': 'float32', 'V312': 'float32', 'V313': 'float32', 'V314': 'float32', 'V315': 'float32', 'V316': 'float32', 'V317': 'float32', 'V318': 'float32', 'V319': 'float32', 'V320': 'float32', 'V321': 'float32', 'V322': 'float32', 'V323': 'float32', 'V324': 'float32', 'V325': 'float32', 'V326': 'float32', 'V327': 'float32', 'V328': 'float32', 'V329': 'float32', 'V330': 'float32', 'V331': 'float32', 'V332': 'float32', 'V333': 'float32', 'V334': 'float32', 'V335': 'float32', 'V336': 'float32', 'V337': 'float32', 'V338': 'float32', 'V339': 'float32', 'id_01': 'float32', 'id_02': 'float32', 'id_03': 'float32', 'id_04': 'float32', 'id_05': 'float32', 'id_06': 'float32', 'id_07': 'float32', 'id_08': 'float32', 'id_09': 'float32', 'id_10': 'float32', 'id_11': 'float32', 'id_12': 'category', 'id_13': 'float32', 'id_14': 'float32', 'id_15': 'category', 'id_16': 'category', 'id_17': 'float32', 'id_18': 'float32', 'id_19': 'float32', 'id_20': 'float32', 'id_21': 'float32', 'id_22': 'float32', 'id_23': 'category', 'id_24': 'float32', 'id_25': 'float32', 'id_26': 'float32', 'id_27': 'category', 'id_28': 'category', 'id_29': 'category', 'id_30': 'category', 'id_31': 'category', 'id_32': 'float32', 'id_33': 'category', 'id_34': 'category', 'id_35': 'category', 'id_36': 'category', 'id_37': 'category', 'id_38': 'category', 'DeviceType': 'category', 'DeviceInfo': 'category', 'TimeInDay': 'int32', 'Cents': 'float32'} to {'TransactionAmt': 'float32', 'ProductCD': 'category', 'card1': 'int16', 'card2': 'float32', 'card3': 'float32', 'card4': 'category', 'card5': 'float32', 'card6': 'category', 'addr1': 'float32', 'addr2': 'float32', 'dist1': 'float32', 'dist2': 'float32', 'P_emaildomain': 'category', 'R_emaildomain': 'category', 'C1': 'float32', 'C2': 'float32', 'C3': 'float32', 'C4': 'float32', 'C5': 'float32', 'C6': 'float32', 'C7': 'float32', 'C8': 'float32', 'C9': 'float32', 'C10': 'float32', 'C11': 'float32', 'C12': 'float32', 'C13': 'float32', 'C14': 'float32', 'D1': 'float32', 'D2': 'float32', 'D3': 'float32', 'D4': 'float32', 'D5': 'float32', 'D6': 'float32', 'D7': 'float32', 'D8': 'float32', 'D9': 'float32', 'D10': 'float32', 'D11': 'float32', 'D12': 'float32', 'D13': 'float32', 'D14': 'float32', 'D15': 'float32', 'M1': 'category', 'M2': 'category', 'M3': 'category', 'M4': 'category', 'M5': 'category', 'M6': 'category', 'M7': 'category', 'M8': 'category', 'M9': 'category', 'V1': 'float32', 'V2': 'float32', 'V3': 'float32', 'V4': 'float32', 'V5': 'float32', 'V6': 'float32', 'V7': 'float32', 'V8': 'float32', 'V9': 'float32', 'V10': 'float32', 'V11': 'float32', 'V12': 'float32', 'V13': 'float32', 'V14': 'float32', 'V15': 'float32', 'V16': 'float32', 'V17': 'float32', 'V18': 'float32', 'V19': 'float32', 'V20': 'float32', 'V21': 'float32', 'V22': 'float32', 'V23': 'float32', 'V24': 'float32', 'V25': 'float32', 'V26': 'float32', 'V27': 'float32', 'V28': 'float32', 'V29': 'float32', 'V30': 'float32', 'V31': 'float32', 'V32': 'float32', 'V33': 'float32', 'V34': 'float32', 'V35': 'float32', 'V36': 'float32', 'V37': 'float32', 'V38': 'float32', 'V39': 'float32', 'V40': 'float32', 'V41': 'float32', 'V42': 'float32', 'V43': 'float32', 'V44': 'float32', 'V45': 'float32', 'V46': 'float32', 'V47': 'float32', 'V48': 'float32', 'V49': 'float32', 'V50': 'float32', 'V51': 'float32', 'V52': 'float32', 'V53': 'float32', 'V54': 'float32', 'V55': 'float32', 'V56': 'float32', 'V57': 'float32', 'V58': 'float32', 'V59': 'float32', 'V60': 'float32', 'V61': 'float32', 'V62': 'float32', 'V63': 'float32', 'V64': 'float32', 'V65': 'float32', 'V66': 'float32', 'V67': 'float32', 'V68': 'float32', 'V69': 'float32', 'V70': 'float32', 'V71': 'float32', 'V72': 'float32', 'V73': 'float32', 'V74': 'float32', 'V75': 'float32', 'V76': 'float32', 'V77': 'float32', 'V78': 'float32', 'V79': 'float32', 'V80': 'float32', 'V81': 'float32', 'V82': 'float32', 'V83': 'float32', 'V84': 'float32', 'V85': 'float32', 'V86': 'float32', 'V87': 'float32', 'V88': 'float32', 'V89': 'float32', 'V90': 'float32', 'V91': 'float32', 'V92': 'float32', 'V93': 'float32', 'V94': 'float32', 'V95': 'float32', 'V96': 'float32', 'V97': 'float32', 'V98': 'float32', 'V99': 'float32', 'V100': 'float32', 'V101': 'float32', 'V102': 'float32', 'V103': 'float32', 'V104': 'float32', 'V105': 'float32', 'V106': 'float32', 'V107': 'float32', 'V108': 'float32', 'V109': 'float32', 'V110': 'float32', 'V111': 'float32', 'V112': 'float32', 'V113': 'float32', 'V114': 'float32', 'V115': 'float32', 'V116': 'float32', 'V117': 'float32', 'V118': 'float32', 'V119': 'float32', 'V120': 'float32', 'V121': 'float32', 'V122': 'float32', 'V123': 'float32', 'V124': 'float32', 'V125': 'float32', 'V126': 'float32', 'V127': 'float32', 'V128': 'float32', 'V129': 'float32', 'V130': 'float32', 'V131': 'float32', 'V132': 'float32', 'V133': 'float32', 'V134': 'float32', 'V135': 'float32', 'V136': 'float32', 'V137': 'float32', 'V138': 'float32', 'V139': 'float32', 'V140': 'float32', 'V141': 'float32', 'V142': 'float32', 'V143': 'float32', 'V144': 'float32', 'V145': 'float32', 'V146': 'float32', 'V147': 'float32', 'V148': 'float32', 'V149': 'float32', 'V150': 'float32', 'V151': 'float32', 'V152': 'float32', 'V153': 'float32', 'V154': 'float32', 'V155': 'float32', 'V156': 'float32', 'V157': 'float32', 'V158': 'float32', 'V159': 'float32', 'V160': 'float32', 'V161': 'float32', 'V162': 'float32', 'V163': 'float32', 'V164': 'float32', 'V165': 'float32', 'V166': 'float32', 'V167': 'float32', 'V168': 'float32', 'V169': 'float32', 'V170': 'float32', 'V171': 'float32', 'V172': 'float32', 'V173': 'float32', 'V174': 'float32', 'V175': 'float32', 'V176': 'float32', 'V177': 'float32', 'V178': 'float32', 'V179': 'float32', 'V180': 'float32', 'V181': 'float32', 'V182': 'float32', 'V183': 'float32', 'V184': 'float32', 'V185': 'float32', 'V186': 'float32', 'V187': 'float32', 'V188': 'float32', 'V189': 'float32', 'V190': 'float32', 'V191': 'float32', 'V192': 'float32', 'V193': 'float32', 'V194': 'float32', 'V195': 'float32', 'V196': 'float32', 'V197': 'float32', 'V198': 'float32', 'V199': 'float32', 'V200': 'float32', 'V201': 'float32', 'V202': 'float32', 'V203': 'float32', 'V204': 'float32', 'V205': 'float32', 'V206': 'float32', 'V207': 'float32', 'V208': 'float32', 'V209': 'float32', 'V210': 'float32', 'V211': 'float32', 'V212': 'float32', 'V213': 'float32', 'V214': 'float32', 'V215': 'float32', 'V216': 'float32', 'V217': 'float32', 'V218': 'float32', 'V219': 'float32', 'V220': 'float32', 'V221': 'float32', 'V222': 'float32', 'V223': 'float32', 'V224': 'float32', 'V225': 'float32', 'V226': 'float32', 'V227': 'float32', 'V228': 'float32', 'V229': 'float32', 'V230': 'float32', 'V231': 'float32', 'V232': 'float32', 'V233': 'float32', 'V234': 'float32', 'V235': 'float32', 'V236': 'float32', 'V237': 'float32', 'V238': 'float32', 'V239': 'float32', 'V240': 'float32', 'V241': 'float32', 'V242': 'float32', 'V243': 'float32', 'V244': 'float32', 'V245': 'float32', 'V246': 'float32', 'V247': 'float32', 'V248': 'float32', 'V249': 'float32', 'V250': 'float32', 'V251': 'float32', 'V252': 'float32', 'V253': 'float32', 'V254': 'float32', 'V255': 'float32', 'V256': 'float32', 'V257': 'float32', 'V258': 'float32', 'V259': 'float32', 'V260': 'float32', 'V261': 'float32', 'V262': 'float32', 'V263': 'float32', 'V264': 'float32', 'V265': 'float32', 'V266': 'float32', 'V267': 'float32', 'V268': 'float32', 'V269': 'float32', 'V270': 'float32', 'V271': 'float32', 'V272': 'float32', 'V273': 'float32', 'V274': 'float32', 'V275': 'float32', 'V276': 'float32', 'V277': 'float32', 'V278': 'float32', 'V279': 'float32', 'V280': 'float32', 'V281': 'float32', 'V282': 'float32', 'V283': 'float32', 'V284': 'float32', 'V285': 'float32', 'V286': 'float32', 'V287': 'float32', 'V288': 'float32', 'V289': 'float32', 'V290': 'float32', 'V291': 'float32', 'V292': 'float32', 'V293': 'float32', 'V294': 'float32', 'V295': 'float32', 'V296': 'float32', 'V297': 'float32', 'V298': 'float32', 'V299': 'float32', 'V300': 'float32', 'V301': 'float32', 'V302': 'float32', 'V303': 'float32', 'V304': 'float32', 'V305': 'float32', 'V306': 'float32', 'V307': 'float32', 'V308': 'float32', 'V309': 'float32', 'V310': 'float32', 'V311': 'float32', 'V312': 'float32', 'V313': 'float32', 'V314': 'float32', 'V315': 'float32', 'V316': 'float32', 'V317': 'float32', 'V318': 'float32', 'V319': 'float32', 'V320': 'float32', 'V321': 'float32', 'V322': 'float32', 'V323': 'float32', 'V324': 'float32', 'V325': 'float32', 'V326': 'float32', 'V327': 'float32', 'V328': 'float32', 'V329': 'float32', 'V330': 'float32', 'V331': 'float32', 'V332': 'float32', 'V333': 'float32', 'V334': 'float32', 'V335': 'float32', 'V336': 'float32', 'V337': 'float32', 'V338': 'float32', 'V339': 'float32', 'id_01': 'float32', 'id_02': 'float32', 'id_03': 'float32', 'id_04': 'float32', 'id_05': 'float32', 'id_06': 'float32', 'id_07': 'float32', 'id_08': 'float32', 'id_09': 'float32', 'id_10': 'float32', 'id_11': 'float32', 'id_12': 'category', 'id_13': 'float32', 'id_14': 'float32', 'id_15': 'category', 'id_16': 'category', 'id_17': 'float32', 'id_18': 'float32', 'id_19': 'float32', 'id_20': 'float32', 'id_21': 'float32', 'id_22': 'float32', 'id_23': 'category', 'id_24': 'float32', 'id_25': 'float32', 'id_26': 'float32', 'id_27': 'category', 'id_28': 'category', 'id_29': 'category', 'id_30': 'category', 'id_31': 'category', 'id_32': 'float32', 'id_33': 'category', 'id_34': 'category', 'id_35': 'category', 'id_36': 'category', 'id_37': 'category', 'id_38': 'category', 'DeviceType': 'category', 'DeviceInfo': 'category', 'TimeInDay': 'int32', 'Cents': 'float32'}
2024-05-29 13:32:05,909 pid:62817 MainThread giskard.utils.logging_utils INFO     Predicted dataset with shape (40, 434) executed in 0:00:00.125281
Executed 'Accuracy on data slice β€œ`C6` >= 1.500”' with arguments {'model': <giskard.models.function.PredictionFunctionModel object at 0x303fbc340>, 'dataset': <giskard.datasets.base.Dataset object at 0x303fbf9a0>, 'slicing_function': <giskard.slicing.slice.QueryBasedSliceFunction object at 0x30bdd1cf0>, 'threshold': 0.836}:
               Test failed
               Metric: 0.78


2024-05-29 13:32:05,959 pid:62817 MainThread giskard.datasets.base INFO     Casting dataframe columns from {'TransactionAmt': 'float32', 'ProductCD': 'category', 'card1': 'int16', 'card2': 'float32', 'card3': 'float32', 'card4': 'category', 'card5': 'float32', 'card6': 'category', 'addr1': 'float32', 'addr2': 'float32', 'dist1': 'float32', 'dist2': 'float32', 'P_emaildomain': 'category', 'R_emaildomain': 'category', 'C1': 'float32', 'C2': 'float32', 'C3': 'float32', 'C4': 'float32', 'C5': 'float32', 'C6': 'float32', 'C7': 'float32', 'C8': 'float32', 'C9': 'float32', 'C10': 'float32', 'C11': 'float32', 'C12': 'float32', 'C13': 'float32', 'C14': 'float32', 'D1': 'float32', 'D2': 'float32', 'D3': 'float32', 'D4': 'float32', 'D5': 'float32', 'D6': 'float32', 'D7': 'float32', 'D8': 'float32', 'D9': 'float32', 'D10': 'float32', 'D11': 'float32', 'D12': 'float32', 'D13': 'float32', 'D14': 'float32', 'D15': 'float32', 'M1': 'category', 'M2': 'category', 'M3': 'category', 'M4': 'category', 'M5': 'category', 'M6': 'category', 'M7': 'category', 'M8': 'category', 'M9': 'category', 'V1': 'float32', 'V2': 'float32', 'V3': 'float32', 'V4': 'float32', 'V5': 'float32', 'V6': 'float32', 'V7': 'float32', 'V8': 'float32', 'V9': 'float32', 'V10': 'float32', 'V11': 'float32', 'V12': 'float32', 'V13': 'float32', 'V14': 'float32', 'V15': 'float32', 'V16': 'float32', 'V17': 'float32', 'V18': 'float32', 'V19': 'float32', 'V20': 'float32', 'V21': 'float32', 'V22': 'float32', 'V23': 'float32', 'V24': 'float32', 'V25': 'float32', 'V26': 'float32', 'V27': 'float32', 'V28': 'float32', 'V29': 'float32', 'V30': 'float32', 'V31': 'float32', 'V32': 'float32', 'V33': 'float32', 'V34': 'float32', 'V35': 'float32', 'V36': 'float32', 'V37': 'float32', 'V38': 'float32', 'V39': 'float32', 'V40': 'float32', 'V41': 'float32', 'V42': 'float32', 'V43': 'float32', 'V44': 'float32', 'V45': 'float32', 'V46': 'float32', 'V47': 'float32', 'V48': 'float32', 'V49': 'float32', 'V50': 'float32', 'V51': 'float32', 'V52': 'float32', 'V53': 'float32', 'V54': 'float32', 'V55': 'float32', 'V56': 'float32', 'V57': 'float32', 'V58': 'float32', 'V59': 'float32', 'V60': 'float32', 'V61': 'float32', 'V62': 'float32', 'V63': 'float32', 'V64': 'float32', 'V65': 'float32', 'V66': 'float32', 'V67': 'float32', 'V68': 'float32', 'V69': 'float32', 'V70': 'float32', 'V71': 'float32', 'V72': 'float32', 'V73': 'float32', 'V74': 'float32', 'V75': 'float32', 'V76': 'float32', 'V77': 'float32', 'V78': 'float32', 'V79': 'float32', 'V80': 'float32', 'V81': 'float32', 'V82': 'float32', 'V83': 'float32', 'V84': 'float32', 'V85': 'float32', 'V86': 'float32', 'V87': 'float32', 'V88': 'float32', 'V89': 'float32', 'V90': 'float32', 'V91': 'float32', 'V92': 'float32', 'V93': 'float32', 'V94': 'float32', 'V95': 'float32', 'V96': 'float32', 'V97': 'float32', 'V98': 'float32', 'V99': 'float32', 'V100': 'float32', 'V101': 'float32', 'V102': 'float32', 'V103': 'float32', 'V104': 'float32', 'V105': 'float32', 'V106': 'float32', 'V107': 'float32', 'V108': 'float32', 'V109': 'float32', 'V110': 'float32', 'V111': 'float32', 'V112': 'float32', 'V113': 'float32', 'V114': 'float32', 'V115': 'float32', 'V116': 'float32', 'V117': 'float32', 'V118': 'float32', 'V119': 'float32', 'V120': 'float32', 'V121': 'float32', 'V122': 'float32', 'V123': 'float32', 'V124': 'float32', 'V125': 'float32', 'V126': 'float32', 'V127': 'float32', 'V128': 'float32', 'V129': 'float32', 'V130': 'float32', 'V131': 'float32', 'V132': 'float32', 'V133': 'float32', 'V134': 'float32', 'V135': 'float32', 'V136': 'float32', 'V137': 'float32', 'V138': 'float32', 'V139': 'float32', 'V140': 'float32', 'V141': 'float32', 'V142': 'float32', 'V143': 'float32', 'V144': 'float32', 'V145': 'float32', 'V146': 'float32', 'V147': 'float32', 'V148': 'float32', 'V149': 'float32', 'V150': 'float32', 'V151': 'float32', 'V152': 'float32', 'V153': 'float32', 'V154': 'float32', 'V155': 'float32', 'V156': 'float32', 'V157': 'float32', 'V158': 'float32', 'V159': 'float32', 'V160': 'float32', 'V161': 'float32', 'V162': 'float32', 'V163': 'float32', 'V164': 'float32', 'V165': 'float32', 'V166': 'float32', 'V167': 'float32', 'V168': 'float32', 'V169': 'float32', 'V170': 'float32', 'V171': 'float32', 'V172': 'float32', 'V173': 'float32', 'V174': 'float32', 'V175': 'float32', 'V176': 'float32', 'V177': 'float32', 'V178': 'float32', 'V179': 'float32', 'V180': 'float32', 'V181': 'float32', 'V182': 'float32', 'V183': 'float32', 'V184': 'float32', 'V185': 'float32', 'V186': 'float32', 'V187': 'float32', 'V188': 'float32', 'V189': 'float32', 'V190': 'float32', 'V191': 'float32', 'V192': 'float32', 'V193': 'float32', 'V194': 'float32', 'V195': 'float32', 'V196': 'float32', 'V197': 'float32', 'V198': 'float32', 'V199': 'float32', 'V200': 'float32', 'V201': 'float32', 'V202': 'float32', 'V203': 'float32', 'V204': 'float32', 'V205': 'float32', 'V206': 'float32', 'V207': 'float32', 'V208': 'float32', 'V209': 'float32', 'V210': 'float32', 'V211': 'float32', 'V212': 'float32', 'V213': 'float32', 'V214': 'float32', 'V215': 'float32', 'V216': 'float32', 'V217': 'float32', 'V218': 'float32', 'V219': 'float32', 'V220': 'float32', 'V221': 'float32', 'V222': 'float32', 'V223': 'float32', 'V224': 'float32', 'V225': 'float32', 'V226': 'float32', 'V227': 'float32', 'V228': 'float32', 'V229': 'float32', 'V230': 'float32', 'V231': 'float32', 'V232': 'float32', 'V233': 'float32', 'V234': 'float32', 'V235': 'float32', 'V236': 'float32', 'V237': 'float32', 'V238': 'float32', 'V239': 'float32', 'V240': 'float32', 'V241': 'float32', 'V242': 'float32', 'V243': 'float32', 'V244': 'float32', 'V245': 'float32', 'V246': 'float32', 'V247': 'float32', 'V248': 'float32', 'V249': 'float32', 'V250': 'float32', 'V251': 'float32', 'V252': 'float32', 'V253': 'float32', 'V254': 'float32', 'V255': 'float32', 'V256': 'float32', 'V257': 'float32', 'V258': 'float32', 'V259': 'float32', 'V260': 'float32', 'V261': 'float32', 'V262': 'float32', 'V263': 'float32', 'V264': 'float32', 'V265': 'float32', 'V266': 'float32', 'V267': 'float32', 'V268': 'float32', 'V269': 'float32', 'V270': 'float32', 'V271': 'float32', 'V272': 'float32', 'V273': 'float32', 'V274': 'float32', 'V275': 'float32', 'V276': 'float32', 'V277': 'float32', 'V278': 'float32', 'V279': 'float32', 'V280': 'float32', 'V281': 'float32', 'V282': 'float32', 'V283': 'float32', 'V284': 'float32', 'V285': 'float32', 'V286': 'float32', 'V287': 'float32', 'V288': 'float32', 'V289': 'float32', 'V290': 'float32', 'V291': 'float32', 'V292': 'float32', 'V293': 'float32', 'V294': 'float32', 'V295': 'float32', 'V296': 'float32', 'V297': 'float32', 'V298': 'float32', 'V299': 'float32', 'V300': 'float32', 'V301': 'float32', 'V302': 'float32', 'V303': 'float32', 'V304': 'float32', 'V305': 'float32', 'V306': 'float32', 'V307': 'float32', 'V308': 'float32', 'V309': 'float32', 'V310': 'float32', 'V311': 'float32', 'V312': 'float32', 'V313': 'float32', 'V314': 'float32', 'V315': 'float32', 'V316': 'float32', 'V317': 'float32', 'V318': 'float32', 'V319': 'float32', 'V320': 'float32', 'V321': 'float32', 'V322': 'float32', 'V323': 'float32', 'V324': 'float32', 'V325': 'float32', 'V326': 'float32', 'V327': 'float32', 'V328': 'float32', 'V329': 'float32', 'V330': 'float32', 'V331': 'float32', 'V332': 'float32', 'V333': 'float32', 'V334': 'float32', 'V335': 'float32', 'V336': 'float32', 'V337': 'float32', 'V338': 'float32', 'V339': 'float32', 'id_01': 'float32', 'id_02': 'float32', 'id_03': 'float32', 'id_04': 'float32', 'id_05': 'float32', 'id_06': 'float32', 'id_07': 'float32', 'id_08': 'float32', 'id_09': 'float32', 'id_10': 'float32', 'id_11': 'float32', 'id_12': 'category', 'id_13': 'float32', 'id_14': 'float32', 'id_15': 'category', 'id_16': 'category', 'id_17': 'float32', 'id_18': 'float32', 'id_19': 'float32', 'id_20': 'float32', 'id_21': 'float32', 'id_22': 'float32', 'id_23': 'category', 'id_24': 'float32', 'id_25': 'float32', 'id_26': 'float32', 'id_27': 'category', 'id_28': 'category', 'id_29': 'category', 'id_30': 'category', 'id_31': 'category', 'id_32': 'float32', 'id_33': 'category', 'id_34': 'category', 'id_35': 'category', 'id_36': 'category', 'id_37': 'category', 'id_38': 'category', 'DeviceType': 'category', 'DeviceInfo': 'category', 'TimeInDay': 'int32', 'Cents': 'float32'} to {'TransactionAmt': 'float32', 'ProductCD': 'category', 'card1': 'int16', 'card2': 'float32', 'card3': 'float32', 'card4': 'category', 'card5': 'float32', 'card6': 'category', 'addr1': 'float32', 'addr2': 'float32', 'dist1': 'float32', 'dist2': 'float32', 'P_emaildomain': 'category', 'R_emaildomain': 'category', 'C1': 'float32', 'C2': 'float32', 'C3': 'float32', 'C4': 'float32', 'C5': 'float32', 'C6': 'float32', 'C7': 'float32', 'C8': 'float32', 'C9': 'float32', 'C10': 'float32', 'C11': 'float32', 'C12': 'float32', 'C13': 'float32', 'C14': 'float32', 'D1': 'float32', 'D2': 'float32', 'D3': 'float32', 'D4': 'float32', 'D5': 'float32', 'D6': 'float32', 'D7': 'float32', 'D8': 'float32', 'D9': 'float32', 'D10': 'float32', 'D11': 'float32', 'D12': 'float32', 'D13': 'float32', 'D14': 'float32', 'D15': 'float32', 'M1': 'category', 'M2': 'category', 'M3': 'category', 'M4': 'category', 'M5': 'category', 'M6': 'category', 'M7': 'category', 'M8': 'category', 'M9': 'category', 'V1': 'float32', 'V2': 'float32', 'V3': 'float32', 'V4': 'float32', 'V5': 'float32', 'V6': 'float32', 'V7': 'float32', 'V8': 'float32', 'V9': 'float32', 'V10': 'float32', 'V11': 'float32', 'V12': 'float32', 'V13': 'float32', 'V14': 'float32', 'V15': 'float32', 'V16': 'float32', 'V17': 'float32', 'V18': 'float32', 'V19': 'float32', 'V20': 'float32', 'V21': 'float32', 'V22': 'float32', 'V23': 'float32', 'V24': 'float32', 'V25': 'float32', 'V26': 'float32', 'V27': 'float32', 'V28': 'float32', 'V29': 'float32', 'V30': 'float32', 'V31': 'float32', 'V32': 'float32', 'V33': 'float32', 'V34': 'float32', 'V35': 'float32', 'V36': 'float32', 'V37': 'float32', 'V38': 'float32', 'V39': 'float32', 'V40': 'float32', 'V41': 'float32', 'V42': 'float32', 'V43': 'float32', 'V44': 'float32', 'V45': 'float32', 'V46': 'float32', 'V47': 'float32', 'V48': 'float32', 'V49': 'float32', 'V50': 'float32', 'V51': 'float32', 'V52': 'float32', 'V53': 'float32', 'V54': 'float32', 'V55': 'float32', 'V56': 'float32', 'V57': 'float32', 'V58': 'float32', 'V59': 'float32', 'V60': 'float32', 'V61': 'float32', 'V62': 'float32', 'V63': 'float32', 'V64': 'float32', 'V65': 'float32', 'V66': 'float32', 'V67': 'float32', 'V68': 'float32', 'V69': 'float32', 'V70': 'float32', 'V71': 'float32', 'V72': 'float32', 'V73': 'float32', 'V74': 'float32', 'V75': 'float32', 'V76': 'float32', 'V77': 'float32', 'V78': 'float32', 'V79': 'float32', 'V80': 'float32', 'V81': 'float32', 'V82': 'float32', 'V83': 'float32', 'V84': 'float32', 'V85': 'float32', 'V86': 'float32', 'V87': 'float32', 'V88': 'float32', 'V89': 'float32', 'V90': 'float32', 'V91': 'float32', 'V92': 'float32', 'V93': 'float32', 'V94': 'float32', 'V95': 'float32', 'V96': 'float32', 'V97': 'float32', 'V98': 'float32', 'V99': 'float32', 'V100': 'float32', 'V101': 'float32', 'V102': 'float32', 'V103': 'float32', 'V104': 'float32', 'V105': 'float32', 'V106': 'float32', 'V107': 'float32', 'V108': 'float32', 'V109': 'float32', 'V110': 'float32', 'V111': 'float32', 'V112': 'float32', 'V113': 'float32', 'V114': 'float32', 'V115': 'float32', 'V116': 'float32', 'V117': 'float32', 'V118': 'float32', 'V119': 'float32', 'V120': 'float32', 'V121': 'float32', 'V122': 'float32', 'V123': 'float32', 'V124': 'float32', 'V125': 'float32', 'V126': 'float32', 'V127': 'float32', 'V128': 'float32', 'V129': 'float32', 'V130': 'float32', 'V131': 'float32', 'V132': 'float32', 'V133': 'float32', 'V134': 'float32', 'V135': 'float32', 'V136': 'float32', 'V137': 'float32', 'V138': 'float32', 'V139': 'float32', 'V140': 'float32', 'V141': 'float32', 'V142': 'float32', 'V143': 'float32', 'V144': 'float32', 'V145': 'float32', 'V146': 'float32', 'V147': 'float32', 'V148': 'float32', 'V149': 'float32', 'V150': 'float32', 'V151': 'float32', 'V152': 'float32', 'V153': 'float32', 'V154': 'float32', 'V155': 'float32', 'V156': 'float32', 'V157': 'float32', 'V158': 'float32', 'V159': 'float32', 'V160': 'float32', 'V161': 'float32', 'V162': 'float32', 'V163': 'float32', 'V164': 'float32', 'V165': 'float32', 'V166': 'float32', 'V167': 'float32', 'V168': 'float32', 'V169': 'float32', 'V170': 'float32', 'V171': 'float32', 'V172': 'float32', 'V173': 'float32', 'V174': 'float32', 'V175': 'float32', 'V176': 'float32', 'V177': 'float32', 'V178': 'float32', 'V179': 'float32', 'V180': 'float32', 'V181': 'float32', 'V182': 'float32', 'V183': 'float32', 'V184': 'float32', 'V185': 'float32', 'V186': 'float32', 'V187': 'float32', 'V188': 'float32', 'V189': 'float32', 'V190': 'float32', 'V191': 'float32', 'V192': 'float32', 'V193': 'float32', 'V194': 'float32', 'V195': 'float32', 'V196': 'float32', 'V197': 'float32', 'V198': 'float32', 'V199': 'float32', 'V200': 'float32', 'V201': 'float32', 'V202': 'float32', 'V203': 'float32', 'V204': 'float32', 'V205': 'float32', 'V206': 'float32', 'V207': 'float32', 'V208': 'float32', 'V209': 'float32', 'V210': 'float32', 'V211': 'float32', 'V212': 'float32', 'V213': 'float32', 'V214': 'float32', 'V215': 'float32', 'V216': 'float32', 'V217': 'float32', 'V218': 'float32', 'V219': 'float32', 'V220': 'float32', 'V221': 'float32', 'V222': 'float32', 'V223': 'float32', 'V224': 'float32', 'V225': 'float32', 'V226': 'float32', 'V227': 'float32', 'V228': 'float32', 'V229': 'float32', 'V230': 'float32', 'V231': 'float32', 'V232': 'float32', 'V233': 'float32', 'V234': 'float32', 'V235': 'float32', 'V236': 'float32', 'V237': 'float32', 'V238': 'float32', 'V239': 'float32', 'V240': 'float32', 'V241': 'float32', 'V242': 'float32', 'V243': 'float32', 'V244': 'float32', 'V245': 'float32', 'V246': 'float32', 'V247': 'float32', 'V248': 'float32', 'V249': 'float32', 'V250': 'float32', 'V251': 'float32', 'V252': 'float32', 'V253': 'float32', 'V254': 'float32', 'V255': 'float32', 'V256': 'float32', 'V257': 'float32', 'V258': 'float32', 'V259': 'float32', 'V260': 'float32', 'V261': 'float32', 'V262': 'float32', 'V263': 'float32', 'V264': 'float32', 'V265': 'float32', 'V266': 'float32', 'V267': 'float32', 'V268': 'float32', 'V269': 'float32', 'V270': 'float32', 'V271': 'float32', 'V272': 'float32', 'V273': 'float32', 'V274': 'float32', 'V275': 'float32', 'V276': 'float32', 'V277': 'float32', 'V278': 'float32', 'V279': 'float32', 'V280': 'float32', 'V281': 'float32', 'V282': 'float32', 'V283': 'float32', 'V284': 'float32', 'V285': 'float32', 'V286': 'float32', 'V287': 'float32', 'V288': 'float32', 'V289': 'float32', 'V290': 'float32', 'V291': 'float32', 'V292': 'float32', 'V293': 'float32', 'V294': 'float32', 'V295': 'float32', 'V296': 'float32', 'V297': 'float32', 'V298': 'float32', 'V299': 'float32', 'V300': 'float32', 'V301': 'float32', 'V302': 'float32', 'V303': 'float32', 'V304': 'float32', 'V305': 'float32', 'V306': 'float32', 'V307': 'float32', 'V308': 'float32', 'V309': 'float32', 'V310': 'float32', 'V311': 'float32', 'V312': 'float32', 'V313': 'float32', 'V314': 'float32', 'V315': 'float32', 'V316': 'float32', 'V317': 'float32', 'V318': 'float32', 'V319': 'float32', 'V320': 'float32', 'V321': 'float32', 'V322': 'float32', 'V323': 'float32', 'V324': 'float32', 'V325': 'float32', 'V326': 'float32', 'V327': 'float32', 'V328': 'float32', 'V329': 'float32', 'V330': 'float32', 'V331': 'float32', 'V332': 'float32', 'V333': 'float32', 'V334': 'float32', 'V335': 'float32', 'V336': 'float32', 'V337': 'float32', 'V338': 'float32', 'V339': 'float32', 'id_01': 'float32', 'id_02': 'float32', 'id_03': 'float32', 'id_04': 'float32', 'id_05': 'float32', 'id_06': 'float32', 'id_07': 'float32', 'id_08': 'float32', 'id_09': 'float32', 'id_10': 'float32', 'id_11': 'float32', 'id_12': 'category', 'id_13': 'float32', 'id_14': 'float32', 'id_15': 'category', 'id_16': 'category', 'id_17': 'float32', 'id_18': 'float32', 'id_19': 'float32', 'id_20': 'float32', 'id_21': 'float32', 'id_22': 'float32', 'id_23': 'category', 'id_24': 'float32', 'id_25': 'float32', 'id_26': 'float32', 'id_27': 'category', 'id_28': 'category', 'id_29': 'category', 'id_30': 'category', 'id_31': 'category', 'id_32': 'float32', 'id_33': 'category', 'id_34': 'category', 'id_35': 'category', 'id_36': 'category', 'id_37': 'category', 'id_38': 'category', 'DeviceType': 'category', 'DeviceInfo': 'category', 'TimeInDay': 'int32', 'Cents': 'float32'}
2024-05-29 13:32:05,981 pid:62817 MainThread giskard.utils.logging_utils INFO     Predicted dataset with shape (32, 434) executed in 0:00:00.043595
Executed 'Accuracy on data slice β€œ`D2` < 120.000”' with arguments {'model': <giskard.models.function.PredictionFunctionModel object at 0x303fbc340>, 'dataset': <giskard.datasets.base.Dataset object at 0x303fbf9a0>, 'slicing_function': <giskard.slicing.slice.QueryBasedSliceFunction object at 0x304aef9a0>, 'threshold': 0.836}:
               Test failed
               Metric: 0.78


2024-05-29 13:32:05,999 pid:62817 MainThread giskard.core.suite INFO     Executed test suite 'My first test suite'
2024-05-29 13:32:05,999 pid:62817 MainThread giskard.core.suite INFO     result: failed
2024-05-29 13:32:05,999 pid:62817 MainThread giskard.core.suite INFO     Accuracy on data slice β€œ`D3` >= 13.500” ({'model': <giskard.models.function.PredictionFunctionModel object at 0x303fbc340>, 'dataset': <giskard.datasets.base.Dataset object at 0x303fbf9a0>, 'slicing_function': <giskard.slicing.slice.QueryBasedSliceFunction object at 0x304aee5f0>, 'threshold': 0.836}): {failed, metric=0.6764705882352942}
2024-05-29 13:32:06,000 pid:62817 MainThread giskard.core.suite INFO     Accuracy on data slice β€œ`D5` >= 10.500” ({'model': <giskard.models.function.PredictionFunctionModel object at 0x303fbc340>, 'dataset': <giskard.datasets.base.Dataset object at 0x303fbf9a0>, 'slicing_function': <giskard.slicing.slice.QueryBasedSliceFunction object at 0x304aee0e0>, 'threshold': 0.836}): {failed, metric=0.6774193548387096}
2024-05-29 13:32:06,000 pid:62817 MainThread giskard.core.suite INFO     Accuracy on data slice β€œ`D11` >= 31.000” ({'model': <giskard.models.function.PredictionFunctionModel object at 0x303fbc340>, 'dataset': <giskard.datasets.base.Dataset object at 0x303fbf9a0>, 'slicing_function': <giskard.slicing.slice.QueryBasedSliceFunction object at 0x30cb9e470>, 'threshold': 0.836}): {failed, metric=0.7027027027027027}
2024-05-29 13:32:06,001 pid:62817 MainThread giskard.core.suite INFO     Accuracy on data slice β€œ`card1` < 12740.000 AND `card1` >= 7867.000” ({'model': <giskard.models.function.PredictionFunctionModel object at 0x303fbc340>, 'dataset': <giskard.datasets.base.Dataset object at 0x303fbf9a0>, 'slicing_function': <giskard.slicing.slice.QueryBasedSliceFunction object at 0x30be701c0>, 'threshold': 0.836}): {failed, metric=0.7096774193548387}
2024-05-29 13:32:06,003 pid:62817 MainThread giskard.core.suite INFO     Accuracy on data slice β€œ`M8` == "F"” ({'model': <giskard.models.function.PredictionFunctionModel object at 0x303fbc340>, 'dataset': <giskard.datasets.base.Dataset object at 0x303fbf9a0>, 'slicing_function': <giskard.slicing.slice.QueryBasedSliceFunction object at 0x30bda00d0>, 'threshold': 0.836}): {failed, metric=0.71875}
2024-05-29 13:32:06,004 pid:62817 MainThread giskard.core.suite INFO     Precision on data slice β€œ`D15` >= 1.000 AND `D15` < 232.500” ({'model': <giskard.models.function.PredictionFunctionModel object at 0x303fbc340>, 'dataset': <giskard.datasets.base.Dataset object at 0x303fbf9a0>, 'slicing_function': <giskard.slicing.slice.QueryBasedSliceFunction object at 0x30bdd3c70>, 'threshold': 0.7707547169811321}): {failed, metric=0.68}
2024-05-29 13:32:06,004 pid:62817 MainThread giskard.core.suite INFO     Accuracy on data slice β€œ`M7` == "F"” ({'model': <giskard.models.function.PredictionFunctionModel object at 0x303fbc340>, 'dataset': <giskard.datasets.base.Dataset object at 0x303fbf9a0>, 'slicing_function': <giskard.slicing.slice.QueryBasedSliceFunction object at 0x30bda13c0>, 'threshold': 0.836}): {failed, metric=0.7380952380952381}
2024-05-29 13:32:06,005 pid:62817 MainThread giskard.core.suite INFO     Accuracy on data slice β€œ`D1` >= 0.500 AND `D1` < 120.000” ({'model': <giskard.models.function.PredictionFunctionModel object at 0x303fbc340>, 'dataset': <giskard.datasets.base.Dataset object at 0x303fbf9a0>, 'slicing_function': <giskard.slicing.slice.QueryBasedSliceFunction object at 0x30bdd1420>, 'threshold': 0.836}): {failed, metric=0.7419354838709677}
2024-05-29 13:32:06,005 pid:62817 MainThread giskard.core.suite INFO     Precision on data slice β€œ`C9` >= 0.500 AND `C9` < 1.500” ({'model': <giskard.models.function.PredictionFunctionModel object at 0x303fbc340>, 'dataset': <giskard.datasets.base.Dataset object at 0x303fbf9a0>, 'slicing_function': <giskard.slicing.slice.QueryBasedSliceFunction object at 0x30bdd22c0>, 'threshold': 0.7707547169811321}): {failed, metric=0.6923076923076923}
2024-05-29 13:32:06,005 pid:62817 MainThread giskard.core.suite INFO     Accuracy on data slice β€œ`V10` < 0.500” ({'model': <giskard.models.function.PredictionFunctionModel object at 0x303fbc340>, 'dataset': <giskard.datasets.base.Dataset object at 0x303fbf9a0>, 'slicing_function': <giskard.slicing.slice.QueryBasedSliceFunction object at 0x30bdcada0>, 'threshold': 0.836}): {failed, metric=0.7714285714285715}
2024-05-29 13:32:06,006 pid:62817 MainThread giskard.core.suite INFO     Accuracy on data slice β€œ`V11` < 0.500” ({'model': <giskard.models.function.PredictionFunctionModel object at 0x303fbc340>, 'dataset': <giskard.datasets.base.Dataset object at 0x303fbf9a0>, 'slicing_function': <giskard.slicing.slice.QueryBasedSliceFunction object at 0x30be67220>, 'threshold': 0.836}): {failed, metric=0.7714285714285715}
2024-05-29 13:32:06,008 pid:62817 MainThread giskard.core.suite INFO     Precision on data slice β€œ`P_emaildomain` == "gmail.com"” ({'model': <giskard.models.function.PredictionFunctionModel object at 0x303fbc340>, 'dataset': <giskard.datasets.base.Dataset object at 0x303fbf9a0>, 'slicing_function': <giskard.slicing.slice.QueryBasedSliceFunction object at 0x3065560e0>, 'threshold': 0.7707547169811321}): {failed, metric=0.7142857142857143}
2024-05-29 13:32:06,008 pid:62817 MainThread giskard.core.suite INFO     Precision on data slice β€œ`M6` == "T"” ({'model': <giskard.models.function.PredictionFunctionModel object at 0x303fbc340>, 'dataset': <giskard.datasets.base.Dataset object at 0x303fbf9a0>, 'slicing_function': <giskard.slicing.slice.QueryBasedSliceFunction object at 0x30bda0580>, 'threshold': 0.7707547169811321}): {failed, metric=0.7142857142857143}
2024-05-29 13:32:06,008 pid:62817 MainThread giskard.core.suite INFO     Accuracy on data slice β€œ`C6` >= 1.500” ({'model': <giskard.models.function.PredictionFunctionModel object at 0x303fbc340>, 'dataset': <giskard.datasets.base.Dataset object at 0x303fbf9a0>, 'slicing_function': <giskard.slicing.slice.QueryBasedSliceFunction object at 0x30bdd1cf0>, 'threshold': 0.836}): {failed, metric=0.775}
2024-05-29 13:32:06,009 pid:62817 MainThread giskard.core.suite INFO     Accuracy on data slice β€œ`D2` < 120.000” ({'model': <giskard.models.function.PredictionFunctionModel object at 0x303fbc340>, 'dataset': <giskard.datasets.base.Dataset object at 0x303fbf9a0>, 'slicing_function': <giskard.slicing.slice.QueryBasedSliceFunction object at 0x304aef9a0>, 'threshold': 0.836}): {failed, metric=0.78125}
[13]:
close Test suite failed.
Test Accuracy on data slice β€œ`D3` >= 13.500”
Measured Metric = 0.67647 close Failed
model train_test_data_classifier
dataset fraud_detection_adversarial_dataset
slicing_function `D3` >= 13.500
threshold 0.836
Test Accuracy on data slice β€œ`D5` >= 10.500”
Measured Metric = 0.67742 close Failed
model train_test_data_classifier
dataset fraud_detection_adversarial_dataset
slicing_function `D5` >= 10.500
threshold 0.836
Test Accuracy on data slice β€œ`D11` >= 31.000”
Measured Metric = 0.7027 close Failed
model train_test_data_classifier
dataset fraud_detection_adversarial_dataset
slicing_function `D11` >= 31.000
threshold 0.836
Test Accuracy on data slice β€œ`card1` < 12740.000 AND `card1` >= 7867.000”
Measured Metric = 0.70968 close Failed
model train_test_data_classifier
dataset fraud_detection_adversarial_dataset
slicing_function `card1` < 12740.000 AND `card1` >= 7867.000
threshold 0.836
Test Accuracy on data slice β€œ`M8` == "F"”
Measured Metric = 0.71875 close Failed
model train_test_data_classifier
dataset fraud_detection_adversarial_dataset
slicing_function `M8` == "F"
threshold 0.836
Test Precision on data slice β€œ`D15` >= 1.000 AND `D15` < 232.500”
Measured Metric = 0.68 close Failed
model train_test_data_classifier
dataset fraud_detection_adversarial_dataset
slicing_function `D15` >= 1.000 AND `D15` < 232.500
threshold 0.7707547169811321
Test Accuracy on data slice β€œ`M7` == "F"”
Measured Metric = 0.7381 close Failed
model train_test_data_classifier
dataset fraud_detection_adversarial_dataset
slicing_function `M7` == "F"
threshold 0.836
Test Accuracy on data slice β€œ`D1` >= 0.500 AND `D1` < 120.000”
Measured Metric = 0.74194 close Failed
model train_test_data_classifier
dataset fraud_detection_adversarial_dataset
slicing_function `D1` >= 0.500 AND `D1` < 120.000
threshold 0.836
Test Precision on data slice β€œ`C9` >= 0.500 AND `C9` < 1.500”
Measured Metric = 0.69231 close Failed
model train_test_data_classifier
dataset fraud_detection_adversarial_dataset
slicing_function `C9` >= 0.500 AND `C9` < 1.500
threshold 0.7707547169811321
Test Accuracy on data slice β€œ`V10` < 0.500”
Measured Metric = 0.77143 close Failed
model train_test_data_classifier
dataset fraud_detection_adversarial_dataset
slicing_function `V10` < 0.500
threshold 0.836
Test Accuracy on data slice β€œ`V11` < 0.500”
Measured Metric = 0.77143 close Failed
model train_test_data_classifier
dataset fraud_detection_adversarial_dataset
slicing_function `V11` < 0.500
threshold 0.836
Test Precision on data slice β€œ`P_emaildomain` == "gmail.com"”
Measured Metric = 0.71429 close Failed
model train_test_data_classifier
dataset fraud_detection_adversarial_dataset
slicing_function `P_emaildomain` == "gmail.com"
threshold 0.7707547169811321
Test Precision on data slice β€œ`M6` == "T"”
Measured Metric = 0.71429 close Failed
model train_test_data_classifier
dataset fraud_detection_adversarial_dataset
slicing_function `M6` == "T"
threshold 0.7707547169811321
Test Accuracy on data slice β€œ`C6` >= 1.500”
Measured Metric = 0.775 close Failed
model train_test_data_classifier
dataset fraud_detection_adversarial_dataset
slicing_function `C6` >= 1.500
threshold 0.836
Test Accuracy on data slice β€œ`D2` < 120.000”
Measured Metric = 0.78125 close Failed
model train_test_data_classifier
dataset fraud_detection_adversarial_dataset
slicing_function `D2` < 120.000
threshold 0.836

Customize your suite by loading objects from the Giskard catalogΒΆ

The Giskard open source catalog will enable to load:

  • Tests such as metamorphic, performance, prediction & data drift, statistical tests, etc

  • Slicing functions such as detectors of toxicity, hate, emotion, etc

  • Transformation functions such as generators of typos, paraphrase, style tune, etc

To create custom tests, refer to this page.

For demo purposes, we will load a simple unit test (test_f1) that checks if the test F1 score is above the given threshold. For more examples of tests and functions, refer to the Giskard catalog.

[ ]:
test_suite.add_test(testing.test_f1(model=giskard_model, dataset=giskard_dataset, threshold=0.7)).run()