Classification method with random forests RF IRIS data set, using one hundred data to do training set, and fifty as a test set, and the statistical error rate, can be directly run

IRIS—RFclassification\RF_Class_C\classRF_predict.m
......................\..........\classRF_train.m
......................\..........\Compile_Check
......................\..........\compile_linux.m
......................\..........\compile_windows.m
......................\..........\data\IRIS.mat
......................\..........\Makefile
......................\..........\Makefile.windows
......................\..........\mexClassRF_predict.mexw32
......................\..........\mexClassRF_predict.mexw64
......................\..........\mexClassRF_train.mexw32
......................\..........\mexClassRF_train.mexw64
......................\..........\precompiled_rfsub\win32\rfsub.o
......................\..........\.................\...64\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
......................\..........\test_ClassRF_extensively.m
......................\..........\tutorial_ClassRF.m
......................\..........\twonorm_C_devcpp.dev
......................\..........\Version_History.txt
......................\..........\precompiled_rfsub\linux64
......................\..........\.................\win32
......................\..........\.................\win64
......................\..........\data
......................\..........\precompiled_rfsub
......................\..........\src
......................\..........\tempbuild
......................\RF_Class_C
IRIS—RFclassification

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