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中文说明：
随机森林指的是利用多棵树对样本进行训练并预测的一种分类器，包括两个方面：数据的随机性选取，以及待选特征的随机选取。
English Description：
Random forest refers to a classifier that uses multiple trees to train and predict samples, including two aspects: random selection of data and random selection of features to be selected
20170106RF_Matlab
.................\randomforest-matlab
.................\...................\RF_Class_C
.................\...................\..........\classRF_predict.m
.................\...................\..........\classRF_train.m
.................\...................\..........\htm" target=_blank>Compile_Check
.................\...................\..........\compile_linux.m
.................\...................\..........\compile_windows.m
.................\...................\..........\data
.................\...................\..........\....\twonorm.mat
.................\...................\..........\....\X_twonorm.txt
.................\...................\..........\....\Y_twonorm.txt
.................\...................\..........\Makefile
.................\...................\..........\Makefile.windows
.................\...................\..........\mexClassRF_predict.mexw32
.................\...................\..........\mexClassRF_predict.mexw64
.................\...................\..........\mexClassRF_train.mexw32
.................\...................\..........\mexClassRF_train.mexw64
.................\...................\..........\precompiled_rfsub
.................\...................\..........\.................\linux64
.................\...................\..........\.................\win32
.................\...................\..........\.................\.....\rfsub.o
.................\...................\..........\.................\win64
.................\...................\..........\.................\.....\rfsub.o
.................\...................\..........\README.txt
.................\...................\..........\rfsub.o
.................\...................\..........\src
.................\...................\..........\...\classRF.cpp
.................\...................\..........\...\classTree.cpp
.................\...................\..........\...\cokus.cpp
.................\...................\..........\...\cokus_test.cpp
.................\...................\..........\...\mex_ClassificationRF_predict.cpp
.................\...................\..........\...\mex_ClassificationRF_train.cpp
.................\...................\..........\...\qsort.c
.................\...................\..........\...\rf.h
.................\...................\..........\...\rfsub.f
.................\...................\..........\...\rfutils.cpp
.................\...................\..........\...\twonorm_C_wrapper.cpp
.................\...................\..........\tempbuild
.................\...................\..........\test_ClassRF_extensively.m
.................\...................\..........\tutorial_ClassRF.m
.................\...................\..........\twonorm_C_devcpp.dev
.................\...................\..........\Version_History.txt
.................\...................\RF_Reg_C
.................\...................\........\htm" target=_blank>Compile_Check_kcachegrind
.................\...................\........\htm" target=_blank>Compile_Check_memcheck
.................\...................\........\compile_linux.m
.................\...................\........\compile_windows.m
.................\...................\........\data
.................\...................\........\....\diabetes.mat
.................\...................\........\....\X_diabetes.txt
.................\...................\........\....\Y_diabetes.txt
.................\...................\........\diabetes_C_devc.dev
.................\...................\........\Makefile
.................\...................\........\mexRF_predict.mexw32
.................\...................\........\mexRF_predict.mexw64
.................\...................\........\mexRF_train.mexw32
.................\...................\........\mexRF_train.mexw64
.................\...................\........\README.txt
.................\...................\........\regRF_predict.m
.................\...................\........\regRF_train.m
.................\...................\........\src
.................\...................\........\...\cokus.cpp
.................\...................\........\...\cokus_test.cpp
.................\...................\........\...\diabetes_C_wrapper.cpp
.................\...................\........\...\mex_regressionRF_predict.cpp
.................\...................\........\...\mex_regressionRF_train.cpp
.................\...................\........\...\qsort.c
.................\...................\........\...\reg_RF.cpp
.................\...................\........\...\reg_RF.h
.................\...................\........\tempbuild
.................\...................\........\test_RegRF_extensively.m
.................\...................\........\tutorial_RegRF.m
.................\...................\........\Version_History.txt
.................\README_Windows_binary.txt