// multi-utility computation suite · offline · instant · precise
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math.classification-metrics Calculator
Calculates precision, recall, F1-score, accuracy, and specificity from a confusion matrix (TP, FP, FN, TN). The F1-score is the harmonic mean of precision and recall — more informative than accuracy for imbalanced class distributions.
Inputs
True Positive
Reference formula or conversion factor shown for context.
False Positive
Reference formula or conversion factor shown for context.
False Negative
Reference formula or conversion factor shown for context.
True Negative
Reference formula or conversion factor shown for context.
Results
F1 score
A numerical rating from the scoring model in use.
precision
Sample size or count used in the calculation.
recall (sensitivity)
Sample size or count used in the calculation.
accuracy
The fraction of predictions or measurements that are correct. High accuracy is only meaningful when the class distribution is balanced.
MCC (Matthews correlation)
The strength and direction of the linear relationship between the two variables (-1 to +1).
F1 = 2·P·R/(P+R)
Reference formula or conversion factor shown for context.