XGBoost与LightGBM文本分类源代码及数据集.zip

[{"title":"（ 8 个子文件 37.99MB ） XGBoost与LightGBM文本分类源代码及数据集.zip","children":[{"title":"XGBoost与LightGBM文本分类源代码及数据集","children":[{"title":"word2vec_analysis.py <span style='color:#111;'> 4.88KB </span>","children":null,"spread":false},{"title":"data","children":[{"title":"stopwords.txt <span style='color:#111;'> 14.82KB </span>","children":null,"spread":false},{"title":"w2v_model.pkl <span style='color:#111;'> 37.14MB </span>","children":null,"spread":false},{"title":"clean_data_train.csv <span style='color:#111;'> 9.18MB </span>","children":null,"spread":false},{"title":"data_test.csv <span style='color:#111;'> 6.58MB </span>","children":null,"spread":false},{"title":"data_train.csv <span style='color:#111;'> 15.58MB </span>","children":null,"spread":false}],"spread":true},{"title":"lightGBM_model.py <span style='color:#111;'> 2.35KB </span>","children":null,"spread":false},{"title":"xgboost_model.py <span style='color:#111;'> 3.39KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}]