Metrics

The module of metrics contains methods that help to calculate and/or visualize evaluation performance of an algorithm.

• Plot Confusion Matrix
  • plot_confusion_matrix()
  • Code Examples
• Receiver Operating Characteristic (ROC) Curve with Probabilities (Thresholds) Annotations
  • plot_roc_curve_with_thresholds_annotations()
  • Code Example
• Precision-Recall Curve with Probabilities (Thresholds) Annotations
  • plot_precision_recall_curve_with_thresholds_annotations()
  • Code Example
• Directional Metrics
  • Directional Accuracy Score
  • Directional Bias Score
• Generate Error Analysis Report
  • generate_error_analysis_report()
  • Code Example
• Plot Metric Growth per Labeled Instances
  • plot_metric_growth_per_labeled_instances()
  • Code Example
• Visualize Accuracy Grouped by Probability
  • visualize_accuracy_grouped_by_probability()
  • Code Example
• Plot Error Analysis Chart
  • plot_error_analysis_chart()
  • Code Example
• Regression Metrics
  • Background and Theory
  • Regression AUC Score
  • Plot REC Curve with Annotations