partial_cm: Compute the global confusion matrix from the FPR and TPR...

In ROCaggregator: Aggregate Multiple ROC Curves into One Global ROC

Description

Compute the global confusion matrix from the FPR and TPR obtained from each node

Usage

partial_cm(
  fpr,
  tpr,
  thresholds,
  negative_count,
  total_count,
  descending = FALSE
)

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	list - Total number of samples corresponding to the negative case
total_count	list - Total number of samples
descending	thresholds in descending order?

Value

global confusion matrix and thresholds

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