Definition
A table showing correct and incorrect predictions for each class, allowing detailed analysis of model performance.
Detailed Explanation
A square matrix showing True Positives, True Negatives, False Positives, and False Negatives. For multi-class problems, it shows predictions vs actual values for all classes. This comprehensive view helps identify specific types of errors the model makes and any patterns in misclassification.
Use Cases
Used in quality control systems, medical diagnosis evaluation, and sentiment analysis to understand specific error patterns.