NewMultiLinearSVC creates a new MultiLinearSVC using the OneVsAllModel.

NewRandomForest generates and return a new random forests forestSize controls the number of trees that get built features controls the number of features used to build each tree.

MultiLinearSVC implements a multi-class Support Vector Classifier using a one-vs-all voting scheme.

RandomForest classifies instances using an ensemble of bagged random decision trees.