Lessons
1
Beyond accuracy: why it is not enough
2
The confusion matrix: all four cells
3
Precision, recall, and F1
4
ROC curves and AUC
5
Precision-recall curves
6
Calibration: does probability mean probability?
7
Cross-validation strategies
8
Statistical tests for model comparison