ML.EVAL.CLASSIFICATION.ACCURACY

Returns the accuracy classification score.

Syntax

ML.EVAL.CLASSIFICATION.ACCURACY(y_true, y_pred, normalize, sample_weight)

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.
normalize	Any	TRUE	If TRUE, return the fraction of correctly classified samples. If FALSE, return the raw count.
sample_weight	Any	None	Optional DataFrame or array object of per-sample weights. Omit for uniform weights.

Examples

Examples coming soon

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

See also

• ML.EVAL.CLASSIFICATION.AVERAGE_PRECISION
• ML.EVAL.CLASSIFICATION.BALANCED_ACCURACY
• 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