Sklearn Classification Evaluator =========== Evaluator for classification, which expects two input columns: prediction and label. Input -------------- It takes in a DataFrame as input Output -------------- The incoming DataFrame is passed to the output Type --------- ml-evaluator Class --------- fire.nodes.sklearn.NodeSklearnClassificationEvaluator Fields --------- .. list-table:: :widths: 10 5 10 :header-rows: 1 * - Name - Title - Description * - targetCol - Label Column - The label column for model fitting. * - predictCol - Prediction Column - The prediction column. * - confusionMatrix - Confusion Matrix - * - output_confusion_matrix_chart - Output Confusion Matrix Chart - whether to display confusion matrix chart. * - cm_chart_title - Confusion Matrix Chart Title - Title name to display in Confusion Matrix Chart * - cm_chart_description - Confusion Matrix Chart Description - Description to display in Confusion Matrix CHart * - confusionMatrixTargetLegend - Confusion Matrix Target Legend - Legend name to display for Target in Confusion Matrix * - confusionMatrixPredictedLabelLegend - Confusion Matrix PredictedLabel Legend - Legend name to display for Predicted Label in Confusion Matrix * - confusionMatrixCountLegend - Confusion Matrix Count Legend - Legend name to display for Count in Confusion Matrix * - path - Save Confusion Matrix Path - Save Confusion Matrix * - Description - Confusion Matrix Description - * - confusionMatrixRowDescription - Confusion Matrix Outcome description - One can provide the business details of the outcome of the confusion matrix rows * - ROC Curve - ROC Curve - * - output_roc_curve - Output ROC Curve - whether to display confusion matrix chart. * - roc_title - ROC Curve Chart Title - Title name to display in ROC Curve Chart * - roc_description - ROC Curve Chart Description - Add Description for ROC Curve Chart * - xlabel - X Label - X label * - ylabel - Y Label - Y Label