Random_Forest

代码说明：

  内涵PCA降维;SMOTE插值;t-SNE降维等算法的随机森林算法，以及鸢尾花数据集，有利于新手或者工程性实验借鉴~(Connotative PCA dimensionality reduction; SMOTE interpolation; t-SNE dimensionality reduction algorithms such as random forest algorithm, as well as iris data sets, is conducive to novice or engineering experiment reference ~)

文件列表：

Test_code\d2p.m, 3155 , 2018-08-16
Test_code\data_sample.m, 460 , 2018-08-15
Test_code\data_test_Geo.mat, 846365 , 2018-08-16
Test_code\data_test_Iris.mat, 16804 , 2018-08-16
Test_code\desicion_tree.m, 458 , 2018-08-15
Test_code\expand_dataset.m, 549 , 2018-08-16
Test_code\fetch_data.m, 187 , 2018-08-15
Test_code\Iris_dataset.xlsx, 13145 , 2018-08-15
Test_code\LDA_reduction.m, 2801 , 2018-08-17
Test_code\prediction.m, 224 , 2018-08-15
Test_code\pre_process.m, 549 , 2018-08-17
Test_code\random_forest.m, 3352 , 2018-08-16
Test_code\score.m, 338 , 2018-08-15
Test_code\SMOTE.m, 1213 , 2018-08-15
Test_code\tsne.m, 2903 , 2018-08-16
Test_code\tsne_d.m, 1858 , 2018-08-16
Test_code\tsne_p.m, 4577 , 2018-08-16
Test_code\Tsne_script.m, 689 , 2018-08-17
Test_code\visual.m, 698 , 2018-08-15
Test_code\vote.m, 567 , 2018-08-15
Test_code\x2p.m, 3297 , 2018-08-16
Test_code, 0 , 2018-08-20