Interactive Confusion Matrix Explorer¶

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Description¶

Explore confusion matrices and calculate classification metrics interactively.

Learning Objectives¶

• Understand the structure of confusion matrices (TP, TN, FP, FN)
• Calculate accuracy, precision, recall, and F1 score from confusion matrix values
• Recognize trade-offs between different metrics
• Interpret confusion matrices for different classifier performance scenarios

How to Use¶

1. Adjust Values: Enter custom values for TP, TN, FP, FN
2. Select Examples: Choose preset scenarios (good/poor/imbalanced)
3. Observe Metrics: See how metrics update in real-time

Key Metrics¶

• Accuracy: Overall correctness (TP + TN) / Total
• Precision: Of predicted positives, how many are correct?
• Recall: Of actual positives, how many did we find?
• F1 Score: Harmonic mean of precision and recall
• Specificity: True negative rate
• FPR: False positive rate