Classification Metrics

INFO

This folder contains evaluation metrics used to assess the performance of classification models.
Metrics range from basic accuracy to advanced probabilistic and agreement-based measures.
Each file includes definitions, formulas, interpretations, and links to applicable model types.

Core Metrics

• Accuracy
• Precision
• Recall
• F1-Score

Curve-Based Metrics

• Receiver Operating Characteristic (ROC) AUC
• Precision-Recall (PR) AUC

Agreement & Correlation Metrics

• Cohen Kappa
• Matthews Correlation Coefficient (MCC)
• Confusion Matrix

Probabilistic Calibration

• Brier Score