Fairness Evaluation Metrics with Confidence Intervals

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Documentation for package ‘fairmetrics’ version 1.0.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

eval_acc_parity	Examine Accuracy Parity of a Model
eval_bs_parity	Examine Brier Score Parity of a Model
eval_cond_acc_equality	Examine Conditional Use Accuracy Equality of a Model
eval_cond_stats_parity	Examine Conditional Statistical Parity of a Model
eval_eq_odds	Examine Equalized Odds of a Predictive Model
eval_eq_opp	Evaluate Equal Opportunity Compliance of a Predictive Model
eval_neg_class_bal	Examine Balance for Negative Class of a Model
eval_neg_pred_parity	Examine Negative Predictive Parity of a Model
eval_pos_class_bal	Examine Balance for the Positive Class of a Model
eval_pos_pred_parity	Examine Positive Predictive Parity of a Model
eval_pred_equality	Examine Predictive Equality of a Model
eval_stats_parity	Examine Statistical Parity of a Model
eval_treatment_equality	Examine Treatment Equality of a Model
get_all_metrics	Calculate the all metrics at once
get_fairness_metrics	Compute Fairness Metrics for Binary Classification
mimic	Clinical data from the MIMIC-II database for a case study on indwelling arterial catheters
mimic_preprocessed	Preprocessed Clinical Data from the MIMIC-II Database