Confusion matrices visualize the accuracy of a classification by comparing the true and predicted classes.
| # True Positive | # True Negative | |
|---|---|---|
| # Predicted Positive | True Positive | False Positive |
| # Predicted Negative | False Negative | True Negative |
Offdiagonal squares a incorrect predictions