Evaluation Metrics of Classification

Evaluation Metrics of Classification

Actual vs Predicted 

Actual (y)	Predicted (ŷ)
1	1 ✓
0	0 ✓
1	1 ✓
1	1 ✓
1	1 ✓
0	0 ✓
0	1 ✗
1	1 ✓
0	1 ✗
1	0 ✗

Accuracy

Accuracy = 0.7   OR Accuracy = 70%

Accuracy = 100% − Misclassification Rate

Accuracy = 100% − Misclassification Rate

Misclassification Rate

Misclassification Rate = 0.3  OR Misclassification Rate = 30%

Misclassification Rate = 1 – Accuracy

Misclassification Rate = 100% − Accuracy