turicreate.evaluation.confusion_matrix — Turi Create API 6.4.1 documentation (original) (raw)
turicreate.evaluation. confusion_matrix(targets, predictions)¶
Compute the confusion matrix for classifier predictions.
| Parameters: | targets : SArray Ground truth class labels (cannot be of type float). predictions : SArray The prediction that corresponds to each target value. This vector must have the same length as targets. The predictions SArray cannot be of type float. |
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| Returns: | out : SFrame An SFrame containing counts for ‘target_label’, ‘predicted_label’ and ‘count’ corresponding to each pair of true and predicted labels. |
Examples
targets = turicreate.SArray([0, 1, 1, 0]) predictions = turicreate.SArray([1, 0, 1, 0])
turicreate.evaluation.confusion_matrix(targets, predictions)