Detail Parameter Settings / Default Setting K-nearest Neighbor (KNN) Number of k-value opts.k = 5; Support Vector Machine (SVM) Selection of kernel function. You may choose one opts.fun = 'r'; % radial basis function opts.fun = 'g'; % gaussian opts.fun = 'l'; % linear opts.fun = 'p'; % polynomial Decision Tree (DT) Number of splitting opts.nSplit = 50; Random Forest (RF) Number of trees opts.nTree = 20; Ensemble Tree (ET) Number of splitting opts.nSplit = 50; Discriminate Analysis (DA) Selection of discriminate function. You may choose one opts.fun = 'l'; % linear opts.fun = 'pq'; % pseudoquadratic opts.fun = 'q'; % quadratic opts.fun = 'dl'; % diaglinear opts.fun = 'pl'; % pseudolinear opts.fun = 'dq'; % diagquadratic Naive Bayes (NB) Selection of distribution. You may choose one opts.fun = 'n'; % normal opts.fun = 'k'; % kernel opts.fun = 'm'; % multinomial opts.fun = 'mm'; % multivariate multinomial