Description: Random forest refers to the use of more than one tree to sample the training and prediction of a classifier, including two aspects: random selection of data, as well as the characteristics of random selection.
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20170106RF_Matlab
.................\README_Windows_binary.txt
.................\randomforest-matlab
.................\...................\RF_Class_C
.................\...................\..........\Compile_Check
.................\...................\..........\Makefile
.................\...................\..........\Makefile.windows
.................\...................\..........\README.txt
.................\...................\..........\Version_History.txt
.................\...................\..........\classRF_predict.m
.................\...................\..........\classRF_train.m
.................\...................\..........\compile_linux.m
.................\...................\..........\compile_windows.m
.................\...................\..........\data
.................\...................\..........\....\X_twonorm.txt
.................\...................\..........\....\Y_twonorm.txt
.................\...................\..........\....\twonorm.mat
.................\...................\..........\mexClassRF_predict.mexw32
.................\...................\..........\mexClassRF_predict.mexw64
.................\...................\..........\mexClassRF_train.mexw32
.................\...................\..........\mexClassRF_train.mexw64
.................\...................\..........\precompiled_rfsub
.................\...................\..........\.................\linux64
.................\...................\..........\.................\win32
.................\...................\..........\.................\.....\rfsub.o
.................\...................\..........\.................\win64
.................\...................\..........\.................\.....\rfsub.o
.................\...................\..........\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
.................\...................\RF_Reg_C
.................\...................\........\Compile_Check_kcachegrind
.................\...................\........\Compile_Check_memcheck
.................\...................\........\Makefile
.................\...................\........\README.txt
.................\...................\........\Version_History.txt
.................\...................\........\compile_linux.m
.................\...................\........\compile_windows.m
.................\...................\........\data
.................\...................\........\....\X_diabetes.txt
.................\...................\........\....\Y_diabetes.txt
.................\...................\........\....\diabetes.mat
.................\...................\........\diabetes_C_devc.dev
.................\...................\........\mexRF_predict.mexw32
.................\...................\........\mexRF_predict.mexw64
.................\...................\........\mexRF_train.mexw32
.................\...................\........\mexRF_train.mexw64
.................\...................\........\regRF_predict.m
.................\...................\........\regRF_train.m
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