用随机森林的方法对IRIS进行训练和分类

[{"title":"（ 31 个子文件 124KB ） 用随机森林的方法对IRIS进行训练和分类","children":[{"title":"IRIS—RFclassification","children":[{"title":"RF_Class_C","children":[{"title":"mexClassRF_train.mexw64 <span style='color:#111;'> 45.00KB </span>","children":null,"spread":false},{"title":"twonorm_C_devcpp.dev <span style='color:#111;'> 1.74KB </span>","children":null,"spread":false},{"title":"test_ClassRF_extensively.m <span style='color:#111;'> 601B </span>","children":null,"spread":false},{"title":"classRF_train.m <span style='color:#111;'> 14.48KB </span>","children":null,"spread":false},{"title":"Compile_Check <span style='color:#111;'> 856B </span>","children":null,"spread":false},{"title":"mexClassRF_train.mexw32 <span style='color:#111;'> 31.50KB </span>","children":null,"spread":false},{"title":"rfsub.o <span style='color:#111;'> 9.61KB </span>","children":null,"spread":false},{"title":"src","children":[{"title":"classTree.cpp <span style='color:#111;'> 8.74KB </span>","children":null,"spread":false},{"title":"rfsub.f <span style='color:#111;'> 15.48KB </span>","children":null,"spread":false},{"title":"cokus.cpp <span style='color:#111;'> 7.50KB </span>","children":null,"spread":false},{"title":"rf.h <span style='color:#111;'> 5.06KB </span>","children":null,"spread":false},{"title":"mex_ClassificationRF_predict.cpp <span style='color:#111;'> 5.10KB </span>","children":null,"spread":false},{"title":"twonorm_C_wrapper.cpp <span style='color:#111;'> 9.63KB </span>","children":null,"spread":false},{"title":"rfutils.cpp <span style='color:#111;'> 9.38KB </span>","children":null,"spread":false},{"title":"mex_ClassificationRF_train.cpp <span style='color:#111;'> 8.34KB </span>","children":null,"spread":false},{"title":"qsort.c <span style='color:#111;'> 4.57KB </span>","children":null,"spread":false},{"title":"cokus_test.cpp <span style='color:#111;'> 1.16KB </span>","children":null,"spread":false},{"title":"classRF.cpp <span style='color:#111;'> 33.09KB </span>","children":null,"spread":false}],"spread":false},{"title":"compile_windows.m <span style='color:#111;'> 1.68KB </span>","children":null,"spread":false},{"title":"precompiled_rfsub","children":[{"title":"win32","children":[{"title":"rfsub.o <span style='color:#111;'> 6.69KB </span>","children":null,"spread":false}],"spread":true},{"title":"linux64","children":null,"spread":false},{"title":"win64","children":[{"title":"rfsub.o <span style='color:#111;'> 9.61KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"tempbuild","children":null,"spread":false},{"title":"README.txt <span style='color:#111;'> 3.18KB </span>","children":null,"spread":false},{"title":"Makefile <span style='color:#111;'> 2.63KB </span>","children":null,"spread":false},{"title":"tutorial_ClassRF.m <span style='color:#111;'> 10.18KB </span>","children":null,"spread":false},{"title":"compile_linux.m <span style='color:#111;'> 557B </span>","children":null,"spread":false},{"title":"Makefile.windows <span style='color:#111;'> 2.46KB </span>","children":null,"spread":false},{"title":"mexClassRF_predict.mexw64 <span style='color:#111;'> 26.00KB </span>","children":null,"spread":false},{"title":"data","children":[{"title":"IRIS.mat <span style='color:#111;'> 5.16KB </span>","children":null,"spread":false}],"spread":false},{"title":"Version_History.txt <span style='color:#111;'> 1.44KB </span>","children":null,"spread":false},{"title":"mexClassRF_predict.mexw32 <span style='color:#111;'> 20.50KB </span>","children":null,"spread":false},{"title":"classRF_predict.m <span style='color:#111;'> 2.12KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}],"spread":true}]