How Do You Evaluate a Classifier

You simply measure the number of correct decisions your classifier makes, divide by the total number of test examples, and the result is the accuracy of your classifier. It’s that simple.

How do you evaluate a classifier model?

1. Classification accuracy.
2. Confusion matrix.
3. Precision and recall.
4. F1 score.
5. Sensitivity and specificity.
6. ROC curve and AUC.

How do you determine the quality of a classifier?

1. Confusion matrix.
2. ROC curve.
3. LIFT curve.