Table 1.
Confusion matrix.
| Predicted | Actual | |
|---|---|---|
| Positive | Negative | |
| Positive | TP (true positive) | FP (false positive) |
| Negative | FN (false negative) | TN (true negative) |
TP represents an instance, which is actually positive and predicted by the model as positive.
FN represents an instance, which is actually positive but predicted by the model as negative.
TN represents an instance, which is actually negative and predicted by the model as negative.
FP represents an instance, which is actually negative but predicted by the model as positive.