Gsvmod {malani} | R Documentation |
G SVM models.
Description
Returns accuracy performance of all genes. G support vector machine (SVM) classifiers trained using G different data matrixes, are used to predict labels in test data. Models are ranked based on prediction performances.
Usage
Gsvmod(dat.train, lab.train, dat.test, lab.test)
Arguments
dat.train |
Train data with G features and (k-1)*S/k samples. Parameter k comes from cross-validation scheme and is specified by user (default is 2). |
lab.train |
Class labels for train data. |
dat.test |
Test data with G features and S/k samples. |
lab.test |
Class labels for test data. |
Value
Accuracy scores for models. Each model represents one gene.
[Package malani version 1.0 Index]