AUPR: AUPR

In DrugClust: Implementation of a Machine Learning Framework for Predicting Drugs Side Effects

Description

Function Implementing metrics calculation of AUPR

Usage

AUPR(predizioni, testpharmat, vectorAUPR, name)

Arguments

predizioni	matrix of predictions
testpharmat	matrix of test for the Side Effects
vectorAUPR	empty vector to store AUPR
name	name of the clustering algorithm used (KSeeds, KMeans,PAM)

Value

vectorAUPR vector containing AUPR values for the various folds, the function also draws AUPR graphs

Examples

#Function for obtaining AUC
#Once you have obtained predizioni with the Prediction function you can apply
#this AUPR function using the following command (testpharmat sideeffects test matrix)
#vectorAUPR<-numeric()
#vectorAUPR<-AUPR(predizioni,testpharmat,vectorAUPR,"KSeeds")

Example output

DrugClust documentation built on May 2, 2019, 11:06 a.m.