The structure of confusion matrix.
| Predicted values | |||
|---|---|---|---|
| T | F | ||
| Actual values | T | TP (True Positive) | FN (False Negative) |
| F | FP (False Positive) | TN (True Negative) | |
* AUC: Area under the ROC(receiver operating characteristic) curve
* CA(Classification Accuracy): (TP + TN)/(TP + TN + FP + FN)
* Precision: TP/(TP + FP)
* Recall: TP/(TP + FN)
* F1: 2 × (Precision × Recall)/(Precision + Recall)