[{"title":"( 9 个子文件 640KB ) 基于四种决策树实现预测大气污染日的概率模型项目源码+数据+超详细注释.zip","children":[{"title":"基于四种决策树的预测大气污染日的概率模型项目源码+数据+超详细注释","children":[{"title":"4.集成决策树预测模型(四种决策树对比).py <span style='color:#111;'> 3.98KB </span>","children":null,"spread":false},{"title":"5.调整梯度提升模型的参数来提高性能.py <span style='color:#111;'> 4.03KB </span>","children":null,"spread":false},{"title":"eighthr.data <span style='color:#111;'> 799.15KB </span>","children":null,"spread":false},{"title":"train.csv <span style='color:#111;'> 3.14MB </span>","children":null,"spread":false},{"title":"2.将数据集中异常数据替换为0.py <span style='color:#111;'> 845B </span>","children":null,"spread":false},{"title":"项目说明.md <span style='color:#111;'> 588B </span>","children":null,"spread":false},{"title":"1.数据特征预览.py <span style='color:#111;'> 410B </span>","children":null,"spread":false},{"title":"3.朴素的基线预测.py <span style='color:#111;'> 887B </span>","children":null,"spread":false},{"title":"test.csv <span style='color:#111;'> 1.27MB </span>","children":null,"spread":false}],"spread":true}],"spread":true}]