accuracy {cutpointr}R Documentation

Calculate accuracy

Description

Calculate accuracy from true positives, false positives, true negatives and false negatives. The inputs must be vectors of equal length.

accuracy = (tp + tn) / (tp + fp + tn + fn)

Usage

accuracy(tp, fp, tn, fn, ...)

Arguments

tp

(numeric) number of true positives.

fp

(numeric) number of false positives.

tn

(numeric) number of true negatives.

fn

(numeric) number of false negatives.

...

for capturing additional arguments passed by method.

See Also

Other metric functions: F1_score(), Jaccard(), abs_d_ppv_npv(), abs_d_sens_spec(), cohens_kappa(), cutpoint(), false_omission_rate(), metric_constrain(), misclassification_cost(), npv(), odds_ratio(), p_chisquared(), plr(), ppv(), precision(), prod_ppv_npv(), prod_sens_spec(), recall(), risk_ratio(), roc01(), sensitivity(), specificity(), sum_ppv_npv(), sum_sens_spec(), total_utility(), tpr(), tp(), youden()

Examples

accuracy(10, 5, 20, 10)
accuracy(c(10, 8), c(5, 7), c(20, 12), c(10, 18))

[Package cutpointr version 1.1.1 Index]