Confusion Matrix
A confusion matrix is a visual representation of a machine learning model's performance, showing true positives, false positives, true negatives, and false negatives.
Confusion Matrix
| Predicted Positive | Predicted Negative | |
|---|---|---|
| Actual Positive | True Positive | False Negative |
| Actual Negative | False Positive | True Negative |
a simple confusion matrix table is created with rows and columns representing the predicted and actual classes in a binary classification problem. The table cells are styled to differentiate between the correct and incorrect predictions using background colors. The table structure includes headers for better readability.
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