SVM.OVA.wrap {MCRestimate} | R Documentation |
Multiclass approach where k binary SVM classifiers are constructed for a classification problem with k classes: Every classifier is trained to distinguish samples of one class from samples of all other classes. For prediction of the class of a new sample, the sample is classified by all k classifiers, and the class corresponding to the classifier with the maximum decision value is chosen.
SVM.OVA.wrap(x,y,gamma = NULL, kernel = "radial", ...)
x,y |
x is a matrix where each row refers to a sample and each colum refers to a gene; y is a factor which includes the class for each sample |
gamma |
parameter for support vector machines |
kernel |
parameter for support vector machines |
... |
Further parameters |
A predict function which can be used to predict the classes for a new data set.
Patrick Warnat mailto:p.warnat@dkfz-heidelberg.de