F1_score: Calculate the F1-score

In cutpointr: Determine and Evaluate Optimal Cutpoints in Binary Classification Tasks

Calculate the F1-score

Description

Calculate the F1-score from true positives, false positives, true negatives and false negatives. The inputs must be vectors of equal length.

F1_score = (2 * tp) / (2 * tp + fp + fn)

Usage

F1_score(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: Jaccard(), abs_d_ppv_npv(), abs_d_sens_spec(), accuracy(), 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

F1_score(10, 5, 20, 10)
F1_score(c(10, 8), c(5, 7), c(20, 12), c(10, 18))

cutpointr documentation built on April 14, 2022, 1:06 a.m.