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randomforest's Introduction

RandomForest

并行化实现

  • main.ipynb:用100棵树进行拟合的结果
  • main2.ipynb:分别用25、50、75棵树拟合的结果
  • RandomForestClassification.py:并行构建随机森林

串行实现

  • test.ipynb:展示在小规模数据集上的结果
  • cart.py:构架一棵决策树
  • random_forest.py:串行构建随机森林
  • utils.py:实现基尼系数的计算等函数

randomforest's People

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