ML.EVAL.CLASSIFICATION.ACCURACY¶
Returns the accuracy classification score.
Syntax¶
Arguments¶
| Name | Type | Default | Description |
|---|---|---|---|
| y_true | Any | Positional argument 1 | |
| y_pred | Any | Positional argument 2 | |
| normalize | Any | TRUE | Positional argument 3 |
| sample_weight | Any | None | Positional argument 4 |
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