Function reference
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eval_acc_parity() - Examine accuracy parity of a model
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eval_bs_parity() - Examine Brier Score parity of a model
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eval_cond_acc_equality() - Examine conditional use accuracy equality of a model
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eval_cond_stats_parity() - Examine conditional statistical parity of a model
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eval_eq_odds() - Examine Equalized Odds of a Predictive Model
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eval_eq_opp() - Evaluate Equal Opportunity Compliance of a Predictive Model
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eval_generalized_entropy_index() - Examine Generalized Entropy Index of a model #' This function evaluates the generalized entropy index in model performance metrics across different groups.
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eval_max_abs_diff() - Examine max absolute difference of a model
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eval_max_min_diff() - Examine Maximum-Minimum Difference of a Model
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eval_max_min_ratio() - Examine Maximum Minimum Ratio of a model
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eval_mean_abs_dev() - Examine mean absolute deviation of a model #' This function evaluates the mean absolute deviation in model performance metrics across different groups.
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eval_neg_class_bal() - Examine balance for negative class of a model
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eval_pos_class_bal() - Examine balance for positive class of a model
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eval_pred_equality() - Examine predictive equality of a model
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eval_pred_parity() - Examine predictive parity of a model
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eval_stats_parity() - Examine statistical parity of a model
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eval_treatment_equality() - Examine treatment equality of a model
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eval_variance() - Examine variance of a model #' This function evaluates the variance in model performance metrics across different groups.
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get_all_metrics() - Calculate the all metrics at once
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mimic - Clinical data from the MIMIC-II database for a case study on indwelling arterial catheters