What this calculator does
Confusion matrix works out turns the four counts of a binary confusion matrix into accuracy, precision, recall and F1. Enter your own figures above and the answer updates as you type: nothing is fixed in the code, so the result reflects exactly the numbers you supply.
The formula this calculator evaluates is printed under the tool and explained below, so you can check the working by hand or reuse it in a spreadsheet.
The formula
FormulaAccuracy=(TP+TN)/total, Precision=TP/(TP+FP), Recall=TP/(TP+FN), F1=2·Precision·Recall/(Precision+Recall), Specificity=TN/(TN+FP)
The inputs explained
| Field | What to enter |
|---|---|
| True positives | A number. Starts at 50. |
| False positives | A number. Starts at 10. |
| False negatives | A number. Starts at 5. |
| True negatives | A number. Starts at 85. |
Worked examples
Every figure in the tables below is produced by this page’s own calculator at build time, so the numbers and the tool always agree. Select any row to load that scenario.
How the answer changes with true positives
Every other input is held at the calculator’s starting values while true positives varies. Select any row to load that scenario into the calculator.