- Check the precision and recall of the dummy classifier that always predict "FALSE"
- F1 score = 2 P R / (P + R)
- Evaluate precision and recall at different thresholds, plot P vs R - this way you'll get the precision/recall curve (similar to ROC curve)
- Area under the PR curve is also a useful metric
- Calculate the metrics for the suggested datasets from the previous week