Data Science & ML
Basic

Classification Accuracy

Fraction of predictions that are correct.

Formula

Accuracy=TP+TNTP+TN+FP+FNAccuracy = \frac{TP + TN}{TP + TN + FP + FN}

Variables

TPTrue positives
TNTrue negatives
FPFalse positives
FNFalse negatives

Example

(90+5)/(100) = 0.95 = 95% accuracy

Did You Know?

Accuracy is misleading on imbalanced datasets.

classificationmetric