# `MlEvaluateDataFrameDataframeClassificationSummary` [interface-MlEvaluateDataFrameDataframeClassificationSummary]

| Name | Type | Description |
| - | - | - |
| `accuracy` | [MlEvaluateDataFrameDataframeClassificationSummaryAccuracy](./MlEvaluateDataFrameDataframeClassificationSummaryAccuracy.md) | Accuracy of predictions (per-class and overall). |
| `auc_roc` | [MlEvaluateDataFrameDataframeEvaluationSummaryAucRoc](./MlEvaluateDataFrameDataframeEvaluationSummaryAucRoc.md) | 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](./MlEvaluateDataFrameDataframeClassificationSummaryMulticlassConfusionMatrix.md) | Multiclass confusion matrix. |
| `precision` | [MlEvaluateDataFrameDataframeClassificationSummaryPrecision](./MlEvaluateDataFrameDataframeClassificationSummaryPrecision.md) | Precision of predictions (per-class and average). |
| `recall` | [MlEvaluateDataFrameDataframeClassificationSummaryRecall](./MlEvaluateDataFrameDataframeClassificationSummaryRecall.md) | Recall of predictions (per-class and average). |