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Random Forest

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  • Update : 2017-12-19
  • Size : 265kb
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  • Author :Richea*******
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Introduction - If you have any usage issues, please Google them yourself
In machine learning, random forest is a multiple decision tree classifier, and its output is composed of plural individual tree categories depending on the output category. Leo Breiman and Adele Cutler developed an algorithm to deduce a random forest. And "Random Forests" is their trademark. The term came from the random decision forest (random decision forests) proposed by Tin Kam Ho at Baer laboratory in 1995. This method is combined with the "Bootstrap aggregating" idea of Breimans and the "random subspace method" of Ho to build a set of decision trees.
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FilenameSizeUpdate
Random Forest
Random Forest\classRF_predict.m 2166 2015-06-03
Random Forest\classRF_train.m 14829 2015-06-03
Random Forest\Compile_Check 856 2015-06-03
Random Forest\compile_linux.m 557 2015-06-03
Random Forest\compile_windows.m 1589 2015-06-03
Random Forest\data
Random Forest\data.mat 8834 2015-06-24
Random Forest\data2.mat 15355 2015-06-22
Random Forest\data\twonorm.mat 48856 2015-06-03
Random Forest\data\X_twonorm.txt 96300 2015-06-03
Random Forest\data\Y_twonorm.txt 600 2015-06-03
Random Forest\main.m 578 2015-06-24
Random Forest\Makefile 2693 2015-06-03
Random Forest\Makefile.win 1592 2017-12-19
Random Forest\Makefile.windows 2523 2015-06-03
Random Forest\precompiled_rfsub
Random Forest\precompiled_rfsub\win32
Random Forest\precompiled_rfsub\win32\rfsub.o 6848 2015-06-03
Random Forest\precompiled_rfsub\win64
Random Forest\precompiled_rfsub\win64\rfsub.o 9840 2015-06-03
Random Forest\README.txt 3128 2015-06-03
Random Forest\rfsub.o 9840 2015-06-03
Random Forest\src
Random Forest\src\classRF.cpp 33889 2015-06-03
Random Forest\src\classRF.o 21845 2017-12-19
Random Forest\src\classTree.cpp 8947 2015-06-03
Random Forest\src\classTree.o 4917 2017-12-19
Random Forest\src\cokus.cpp 7678 2015-06-03
Random Forest\src\cokus.o 1741 2017-12-19
Random Forest\src\cokus_test.cpp 1189 2015-06-03
Random Forest\src\mex_ClassificationRF_predict.cpp 5225 2015-06-03
Random Forest\src\mex_ClassificationRF_train.cpp 8545 2015-06-03
Random Forest\src\qsort.c 4676 2015-06-03
Random Forest\src\rf.h 5186 2015-06-03
Random Forest\src\rfsub.f 15851 2015-06-03
Random Forest\src\rfutils.cpp 9609 2015-06-03
Random Forest\src\rfutils.o 8293 2017-12-19
Random Forest\src\twonorm_C_wrapper.cpp 9885 2017-12-19
Random Forest\src\twonorm_C_wrapper.o 6640 2017-12-19
Random Forest\test_ClassRF_extensively.m 604 2015-06-03
Random Forest\tutorial_ClassRF.m 10403 2015-06-03
Random Forest\twonorm_C_devcpp.dev 1783 2015-06-03
Random Forest\twonorm_C_devcpp.exe 447615 2017-12-19
Random Forest\twonorm_C_devcpp.layout 160 2017-12-19
Random Forest\Version_History.txt 1311 2015-06-03
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