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Aequitas Bias() ClassBias() class includes two additional get disparity functions: ``get_disparity_major_group()`` and ``get_disparity_min_metric()``, which automate base group selection based on sample majority (across each attribute) and minimum value for each calculated bias metric, respectively.

The ``get_disparity_predefined_groups()`` allows user to define a base group for each attribute, as illustrated below.

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Disparities Calculated Calcuated:

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Disparities Calculated:

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Disparities Calculated Calcuated:

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The Aequitas Effect

True Positive Rate Disparity

‘tpr_disprity’

True Negative Rate

True Negative Rate Disparity

‘tnr_disparity’

False Omission Rate

False Omission Rate Disparity

‘for_disparity’

False Discovery Rate

False Discovery Rate Disparity

‘fdr_disparity’

False Positive Rate

False Positive Rate Disparity

‘fpr_disparity’

False NegativeRate

False NegativeRate Disparity

‘fnr_disparity’

Negative Predictive Value

Negative Predictive Value Disparity

‘npv_disparity’

Precision Disparity