Statistics

Confusion Matrix Calculator

Find accuracy, precision, recall and F1 from a confusion matrix.

Calculated Output

Precision 0.8889

Recall 0.8

F1 score 0.8421

Accuracy 0.85

Formula: precision = TP/(TP+FP); recall = TP/(TP+FN)

Step-by-Step Breakdown

1. Values used:

2. True positives = 80

3. False positives = 10

4. False negatives = 20

5. True negatives = 90

7. Precision = 0.8889

8. Recall = 0.8

9. F1 score = 0.8421

10. Accuracy = 0.85

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The math behind it

Precision = TP/(TP+FP), recall = TP/(TP+FN), F1 is their harmonic mean.

TP 80, FP 10, FN 20 → precision 0.89, recall 0.80, F1 0.84.

Precision vs recall?

Precision is how many predicted positives are real; recall is how many real positives you caught.