Confusion Matrix
/kənˈfjuːʒən ˈmeɪtrɪks/
A table used to evaluate classification model performance by showing true vs predicted classes.
In italiano: Matrice di ConfusioneThe confusion matrix displays true positives, false positives, true negatives, and false negatives. It enables calculation of metrics like precision, recall, F1-score, and accuracy.
Examples
- Binary classification evaluation
- Multi-class performance analysis
- Model error analysis