plotroc draws the recevier operating characteristic(ROC) curve for an svm-model
auc = libsvm_rocplot(training_label, training_instance) auc = libsvm_rocplot(training_label, training_instance , model) auc = libsvm_rocplot(training_label, training_instance , libsvm_options) auc = libsvm_rocplot(training_label, training_instance , libsvm_options, uselinear)
Use cross-validation on training data to get decision values and plot ROC curve.
Use the given model to predict testing data and obtain decision values for ROC