All glossary terms
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Confusion Matrix
A table summarizing prediction results by comparing predicted and actual labels for classification tasks.
In more detail
Shows True Positives, True Negatives, False Positives, False Negatives. Enables calculation of accuracy, precision, recall, specificity. Useful for understanding model errors and analyzing prediction patterns.
Examples
- Binary classification confusion matrix
- Multi-class confusion matrix
- Visualizing model errors
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