Ensemble Methods with Voting Protocols Exhibit Superior Performance for Predicting Cancer Clinical Endpoints and Providing More Complete Coverage of Disease-Related Genes

Table 2

Methods used.

Class	Method names
bayes	NaiveBayes, BayesianLogisticRegression, BayesNet, ComplementNaiveBayes, DMNBtext, NaiveBayesMultinomial, NaiveBayesMultinomialUpdateable
functions	Logistic, MultilayerPerceptron, RBFNetwork, SimpleLogistic, SPegasos, VotedPerceptron, LibSVM
lazy	IB1, IBk, KStar, LWL
meta	AdaBoostM1, Bagging, Dagging, Decorate, END, FilteredClassifier, LogitBoost, MultiBoostAB, MultiClassClassifier
misc	HyperPipes, VFI
rules	ConjunctiveRule, DecisionTable, DTNB, NNge, OneR, PART, Ridor, ZeroR
trees	ADTree, BFTree, DecisionStump, FT, J48, J48graft, LADTree, LMT, NBTree, RandomForest, RandomTree, REPTree

The names, including the class names, are from WEKA. The results and discussion are based on the classes.