Confusion Matrix Analyzer
Calculate metrics from binary and multi-class confusion matrices
Input Configuration
Quick Presets:
Confusion Matrix Heatmap
Binary Classification What-If:
Classification Metrics
| Metric | Value | Definition |
|---|---|---|
| Accuracy | - | (TP+TN)/(TP+TN+FP+FN) |
| Precision | - | TP/(TP+FP) |
| Recall (Sensitivity) | - | TP/(TP+FN) |
| F1-Score | - | 2*(Precision*Recall)/(Precision+Recall) |
| Specificity | - | TN/(TN+FP) |
| FPR | - | FP/(FP+TN) |
| FNR | - | FN/(FN+TP) |
| Matthews Correlation Coefficient | - | Balanced metric even for imbalanced datasets |
| Cohen's Kappa | - | Agreement beyond chance |
| Balanced Accuracy | - | (Sensitivity + Specificity) / 2 |
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