Accuracy Calculator
Calculate classification accuracy from true/false positives and negatives.
Open toolInteractive demos and explainers that run entirely in your browser.
Calculate classification accuracy from true/false positives and negatives.
Open toolEnter TP, FP, FN, and TN and get every derived metric: accuracy, precision, recall, specificity, F1, and more.
Open toolCompute the F1 score — the harmonic mean of precision and recall — from TP, FP, FN, TN.
Open toolCompute the mean absolute error of a regression from actual vs predicted value pairs.
Open toolCompute the mean squared error of a regression from actual vs predicted value pairs.
Open toolCompute precision — the share of positive predictions that were actually correct.
Open toolTest yourself with random multiple-choice questions on machine learning, data science, and AI.
Open toolCompute R² (coefficient of determination) — the share of variance in the actuals explained by the model.
Open toolCompute recall (sensitivity) — the share of actual positives the model managed to find.
Open toolCompute the root mean squared error of a regression — MSE back in the target's units.
Open toolCompute the area under the ROC curve from a list of model scores and binary labels (0/1).
Open toolCompute sensitivity (recall) — the share of actual positives correctly detected by a test or model.
Open toolCompute specificity — the share of actual negatives the model correctly identified.
Open tool