ML.EVAL.CLASSIFICATION.BALANCED_ACCURACY

Returns the balanced accuracy classification score.

Syntax

ML.EVAL.CLASSIFICATION.BALANCED_ACCURACY(y_true, y_pred, sample_weight, adjusted)

Arguments

Name	Type	Default	Description
y_true	object		DataFrame or array object of ground-truth target values.
y_pred	object		DataFrame or array object of predicted target values.
sample_weight	Any	None	Optional DataFrame or array object of per-sample weights. Omit for uniform weights.
adjusted	Any	FALSE	If TRUE, rescale the score so 0 is chance performance and 1 is perfect performance.

Examples

Examples coming soon

Working Excel formula examples for this function are not yet written.

See also

• ML.EVAL.CLASSIFICATION.ACCURACY
• ML.EVAL.CLASSIFICATION.AVERAGE_PRECISION
• ML.EVAL.CLASSIFICATION.BRIER_SCORE_LOSS
• ML.EVAL.CLASSIFICATION.D2_LOG_LOSS_SCORE
• ML.EVAL.CLASSIFICATION.F1
• ML.EVAL.CLASSIFICATION.JACCARD
• ML.EVAL.CLASSIFICATION.LOG_LOSS
• ML.EVAL.CLASSIFICATION.MATTHEWS_CORRCOEF
• ML.EVAL.CLASSIFICATION.PRECISION
• ML.EVAL.CLASSIFICATION.RECALL
• ML.EVAL.CLASSIFICATION.ROC_AUC
• ML.EVAL.CLASSIFICATION.TOP_K_ACCURACY