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	Any		Positional argument 1
y_pred	Any		Positional argument 2
sample_weight	Any	None	Positional argument 3
adjusted	Any	FALSE	Positional argument 4

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