Key Facts:
- Nothing to do with training. It is in fact a way of evaluating the trained class
- Made by running the trained classifier on validation or test set.
- Horizontal Axis = False Positive Rate.
- Vertical Axis = True Positive Rate (Sensitivity).
- ROC Curve is discrete.
- The area under the curve determines
- Random Classifier will have an area of 0.5
- The Knob is not in the diagram*
Important: In practice, the trade-off between false negatives and false positives is usually negotiated by choosing a point on this plot, based on real test data.