ML.EVAL.CLASSIFICATION.JACCARD¶
Returns the Jaccard classification score.
Syntax¶
ML.EVAL.CLASSIFICATION.JACCARD(y_true, y_pred, labels, pos_label, average, sample_weight, zero_division)
Arguments¶
| Name | Type | Default | Description |
|---|---|---|---|
| y_true | Any | Positional argument 1 | |
| y_pred | Any | Positional argument 2 | |
| labels | Any | None | Positional argument 3 |
| pos_label | Any | 1 | Positional argument 4 |
| average | Any | "binary" | Positional argument 5 |
| sample_weight | Any | None | Positional argument 6 |
| zero_division | Any | "warn" | Positional argument 7 |
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.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