Model Performance Metrics for Classification Model

Following is the list of 10 metrics which we’ll study in an interconnected way through examples: Confusion Matrix Type I Error Type II Error Accuracy Recall or True Positive Rate or Sensitivity Precision Specificity F1 Score ROC Curve- AUC Score PR Curve Once we learn the appropriate usage and how to interpret these metrics according … Continue reading Model Performance Metrics for Classification Model