dataeval.bias.BalanceOutput¶

class dataeval.bias.BalanceOutput¶

Output class for the Balance bias evaluator.

Contains three polars DataFrames with mutual information scores and threshold flags.

balance¶

DataFrame with global class-to-factor mutual information:

• factor_name: str - Name of the metadata factor

• mi_value: float - Mutual information value between this factor and class labels

Type:¶

pl.DataFrame

factors¶

DataFrame with inter-factor mutual information correlations:

• factor1: str - Name of the first factor

• factor2: str - Name of the second factor

• mi_value: float - Mutual information value

• is_correlated: bool - True if mi_value > factor_correlation_threshold

Type:¶

pl.DataFrame

classwise¶

DataFrame with per-class-to-factor mutual information:

• class_name: str - Name of the class

• factor_name: str - Name of the metadata factor

• mi_value: float - Mutual information value

• is_imbalanced: bool - True if mi_value > class_imbalance_threshold

Type:¶

pl.DataFrame

data()¶

Return the output data as a dictionary.

Return type:¶

dict[str, Any]

meta()¶

Metadata about the execution of the function or method for the Output class.

Return type:¶

ExecutionMetadata