roc_curve: Compute Receiver operating characteristic (ROC)

In ROCaggregator: Aggregate Multiple ROC Curves into One Global ROC

Description

Compute Receiver operating characteristic (ROC)

Usage

roc_curve(fpr, tpr, thresholds, negative_count, total_count)

Arguments

fpr	list - False positive rates for each individual ROC
tpr	list - True positive rates for each individual ROC
thresholds	list - Thresholds used to compute the fpr and tpr
negative_count	vector - Total number of samples corresponding to the negative case
total_count	vector - Total number of samples

Value

list with the global fpr, tpr, and thresholds (decreasing)

ROCaggregator documentation built on Aug. 10, 2021, 5:07 p.m.