getThresholdSummary_binary: Calculate all measures for sparse ROC when prediction is...

In OHDSI/PatientLevelPrediction: Developing patient level prediction using data in the OMOP Common Data Model

Calculate all measures for sparse ROC when prediction is bianry classification

Description

Calculate all measures for sparse ROC when prediction is bianry classification

Usage

getThresholdSummary_binary(prediction, evalColumn, ...)

Arguments

prediction	A prediction object
evalColumn	A column that is used to stratify the results
...	Other inputs

Details

Calculates the TP, FP, TN, FN, TPR, FPR, accuracy, PPF, FOR and Fmeasure from a prediction object

Value

A data.frame with all the measures

OHDSI/PatientLevelPrediction documentation built on April 27, 2024, 8:11 p.m.