ROCmodel: To choose the best paramater for a model
In MEET: MEET: Motif Elements Estimation Toolkit
Description
Usage
Arguments
Details
Author(s)
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
1
Arguments
Scores
Output Scores validation
labels
Output Labels validation
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 <epeiroatibec.pcb.ub.es> and Joan Maynou <joan.maynouatupc.edu>
MEET documentation built on May 2, 2019, 1:45 p.m.
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Description Usage Arguments Details Author(s)
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
1 |
Arguments
Scores |
Output Scores validation |
labels |
Output Labels validation |
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 <epeiroatibec.pcb.ub.es> and Joan Maynou <joan.maynouatupc.edu>
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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