Calculate accuracy, precision, recall, F1 score, specificity, MCC and other key metrics from your confusion matrix data.
Total Samples
200
Accuracy
87.5%
(TP + TN) / Total
Precision
85%
TP / (TP + FP)
Recall
89.47%
TP / (TP + FN)
F1 Score
87.18%
2 × (P × R) / (P + R)
Specificity
85.71%
TN / (TN + FP)
MCC
75.09%
Matthews Corr. Coef.
Additional Metrics
FPR (Type I Error)
14.29%
FNR (Type II Error)
10.53%
PPV
85%
NPV
90%
Prevalence
47.5%
This confusion matrix calculator helps data scientists and machine learning engineers quickly evaluate classification model performance. Enter your true positives, false positives, false negatives, and true negatives to get accuracy, precision, recall, F1 score, specificity, Matthews Correlation Coefficient, and more.