ML.EVAL.CLASSIFICATION.LOG_LOSS

Returns the log loss.

Syntax

ML.EVAL.CLASSIFICATION.LOG_LOSS(y_true, y_score, normalize, sample_weight, labels)

Arguments

Name	Type	Default	Description
y_true	Any		Positional argument 1
y_score	Any		Positional argument 2
normalize	Any	TRUE	Positional argument 3
sample_weight	Any	None	Positional argument 4
labels	Any	None	Positional argument 5

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.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.MATTHEWS_CORRCOEF
• ML.EVAL.CLASSIFICATION.PRECISION
• ML.EVAL.CLASSIFICATION.RECALL
• ML.EVAL.CLASSIFICATION.ROC_AUC
• ML.EVAL.CLASSIFICATION.TOP_K_ACCURACY