1.2 KiB
1.2 KiB
Interface MlEvaluateDataFrameDataframeClassificationSummary
| Name | Type | Description |
|---|---|---|
accuracy |
MlEvaluateDataFrameDataframeClassificationSummaryAccuracy | Accuracy of predictions (per-class and overall). |
auc_roc |
MlEvaluateDataFrameDataframeEvaluationSummaryAucRoc | The AUC ROC (area under the curve of the receiver operating characteristic) score and optionally the curve. It is calculated for a specific class (provided as "class_name") treated as positive. |
multiclass_confusion_matrix |
MlEvaluateDataFrameDataframeClassificationSummaryMulticlassConfusionMatrix | Multiclass confusion matrix. |
precision |
MlEvaluateDataFrameDataframeClassificationSummaryPrecision | Precision of predictions (per-class and average). |
recall |
MlEvaluateDataFrameDataframeClassificationSummaryRecall | Recall of predictions (per-class and average). |