Skip to content

Latest commit

 

History

History
19 lines (12 loc) · 606 Bytes

09-explore-more.md

File metadata and controls

19 lines (12 loc) · 606 Bytes

4.9 Explore more

  • 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

Other projects

  • Calculate the metrics for the suggested datasets from the previous week

Navigation