说明：  随机森林分类采用相关特征选择、单变量特征选择、递归特征消除、交叉验证递归特征消除和基于树的特征选择方法。除此之外，还使用主成分分析法观察成分的数量。
(Feature selection with correlation, univariate feature selection, recursive feature elimination, recursive feature elimination with cross validation and tree based feature selection methods are used with random forest classification. Apart from these, principle component analysis are used to observe number of components.)