Table 3.
Prediction contingency table.
| Prediction |
||||
|---|---|---|---|---|
| Yes | No | Total | ||
| Observation | Yes | TPa (Hits) | FNb (Misses) | TP + FN |
| No | FPc (False alarms) | TNd (Correct rejection) | FP + TN | |
| Total | TP + FP | FN + TN | TP + FN + FP + TN | |
a
True positive (TP) is the number of positive classes correctly predicted by the model.
b
False negative (FN) is the number of false negative classes incorrectly predicted by the model.
c
False positive (FP) is the number of false positive classes incorrectly predicted by the model.
d
True negative (TN) is the number of negative classes correctly predicted by the model.