precision_recall_curve: Compute the precision recall curve

In ROCaggregator: Aggregate Multiple ROC Curves into One Global ROC

Description

Compute the precision recall curve

Usage

precision_recall_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 precision, recall, and thresholds (increasing)

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