AUC: AUC

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

Description

Function Implementing metrics calculation of AUC

Usage

AUC(predizioni, testpharmat, vectorAUC, name)

Arguments

predizioni	matrix of predictions
testpharmat	matrix of test for the side effects
vectorAUC	empty vector where the AUC values will be saved
name	string stating the name of the clustering Algorithm used, KSeeds, Kmeans or PAM

Value

vectorAUC vector containing the various AUC values for the various folds. Moreover the function draw the graph of AUC

Examples

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

Example output

DrugClust documentation built on May 30, 2017, 2:30 a.m.