ROCmodel: To choose the best paramater for a model

In MEET: MEET: Motif Elements Estimation Toolkit

Description

This function selects the best paramater for a model. Output's ROCdetector are: Area under curve Roc, Roc curve performance, the best parameters and the model.

Usage

ROCmodel(Scores, labels, iicc)

Arguments

Scores	Output Scores training
labels	Output Labels training
iicc	Set of initial conditions for the MEET-package: mode, method, background,alignment,threshold,parameters,Transcriptionfactor,nummotif,lenmotif,sentit,position,missing,vector,gapopen,maxiters,gapextend.

Details

This functions needs the ROCR package.

Author(s)

Erola Pairo <[e-mail]> and Joan Maynou <[e-mail]>

Examples

data(iicc)
#ROCmodel(Scores, labels, iicc)

MEET documentation built on May 2, 2019, 5:52 p.m.