Confusion Matrix Calculator

Input Values

True Positives (TP)

False Positives (FP)

True Negatives (TN)

False Negatives (FN)

Pred +

Pred -

Actual +

Actual -

122

Legend: TP (correct positive), TN (correct negative), FP (false positive), FN (false negative)

Accuracy

—

(TP + TN) / Total

Precision

—

TP / (TP + FP)

Recall (Sensitivity)

—

TP / (TP + FN)

Specificity

—

TN / (TN + FP)

F1 Score

—

2·(Precision·Recall)/(Precision+Recall)

MCC (Matthews)

—

(TP·TN - FP·FN) / √((TP+FP)(TP+FN)(TN+FP)(TN+FN))

False Positive Rate

—

FP / (FP + TN)

False Negative Rate

—

FN / (FN + TP)

ROC Curve Point

False Positive Rate (X)

—

True Positive Rate (Y)

—