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Accuracy Calculator

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Calculates the accuracy of a classification model based on True Positives (TP), True Negatives (TN), False Positives (FP), and False Negatives (FN). Accuracy is the proportion of correct predictions over the total number of predictions.

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How To Use

How to use this calculator

Start with your values, or try a preset.

Step 1

Enter True Positives (TP), True Negatives (TN), False Positives (FP), and False Negatives (FN) in the units shown.

Step 2

Read Total Predictions and Accuracy in the results panel. Results update as you change the inputs.

Step 3

Choose a preset to load an example, then adjust the values for your situation.

Worked Examples

Example calculations

See the inputs and their calculated results.

High Accuracy

True Positives (TP): 90; True Negatives (TN): 80; False Positives (FP): 10; False Negatives (FN): 5

Total Predictions: 185; Accuracy: 0.9189189189 %

Moderate Accuracy

True Positives (TP): 70; True Negatives (TN): 60; False Positives (FP): 30; False Negatives (FN): 40

Total Predictions: 200; Accuracy: 0.65 %

Low Accuracy

True Positives (TP): 40; True Negatives (TN): 30; False Positives (FP): 60; False Negatives (FN): 70

Total Predictions: 200; Accuracy: 0.35 %

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