Jaccard: Calculate the Jaccard Index

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

Calculate the Jaccard Index

Description

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

Jaccard = (tp) / (tp + fp + fn)

Usage

Jaccard(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(), 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

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

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