Precision, Recall, F1 & ROC-AUC
Beyond accuracy for real evaluation.
Accuracy Can Lie
When one class dominates, accuracy looks great even for a useless model. You need sharper metrics to judge real performance.
The Four Outcomes
Every prediction is a true positive, true negative, false positive, or false negative. These four counts power every richer metric.
All lessons in this course
- Precision, Recall, F1 & ROC-AUC
- Confusion Matrices & Error Analysis
- Grad-CAM: See What the Model Looks At
- Calibrate Confidence