Accuracy Calculator
Find classification accuracy from a confusion matrix.
Accuracy is the fraction of all predictions a classifier got right.
The math behind it
accuracy = (TP + TN) ÷ (TP + TN + FP + FN). It can mislead on imbalanced data.
Worked example
80 + 90 correct of 200 → 85%.
FAQ
Why isn't accuracy always enough?
On rare events, a model can be 'accurate' by always predicting the majority class.