Confusion Matrix Generator
Enter your classification results to generate a confusion matrix and performance metrics.
Confusion Matrix
Predicted Positive | Predicted Negative | |
---|---|---|
Actual Positive | 50 | 5 |
Actual Negative | 10 | 100 |
Performance Metrics
Accuracy:
0.909
Precision:
0.833
Recall (Sensitivity):
0.909
Specificity:
0.909
F1 Score:
0.870