【代码分享】基于python的文本分类（sklearn-决策树和随机森林实现）

[{"title":"（ 9 个子文件 1.78MB ） 【代码分享】基于python的文本分类（sklearn-决策树和随机森林实现）","children":[{"title":"data","children":[{"title":"原始数据.xlsx <span style='color:#111;'> 21.80KB </span>","children":null,"spread":false},{"title":"train_data.xlsx <span style='color:#111;'> 18.33KB </span>","children":null,"spread":false},{"title":"trainlabel_list.npy <span style='color:#111;'> 208B </span>","children":null,"spread":false},{"title":"需求.png <span style='color:#111;'> 26.32KB </span>","children":null,"spread":false}],"spread":true},{"title":"model","children":[{"title":"model_dtc.m <span style='color:#111;'> 8.68KB </span>","children":null,"spread":false},{"title":"model_word2vec.m <span style='color:#111;'> 1.78MB </span>","children":null,"spread":false},{"title":"model_rf_grid.m <span style='color:#111;'> 2.51MB </span>","children":null,"spread":false}],"spread":true},{"title":"模型预测.ipynb <span style='color:#111;'> 4.31KB </span>","children":null,"spread":false},{"title":"decision_tree.ipynb <span style='color:#111;'> 15.54KB </span>","children":null,"spread":false}],"spread":true}]