Classification Metrics

Accuracy alone can be misleading. Learn the full toolkit of classification metrics.

Accuracy: The Basics

The Confusion Matrix

Precision and Recall

F1 Score: The Balance

When to Prioritize What?

Key Takeaways

• Accuracy can be misleading with imbalanced classes
• Confusion matrix shows TP, TN, FP, FN
• Precision: Of positive predictions, how many are correct?
• Recall: Of actual positives, how many did we find?
• F1 Score: Harmonic mean of precision and recall
• Choose metrics based on the cost of different errors