标签decision-trees - 这是页51 - GeneraCodice

什么是基准模型？

https://www.generacodice.com/cn/articolo/1110738/什么是基准模型
  data-mining  -  classification  -  decision-trees  -  preprocessing
datascience.stackexchange datascience.stackexchange

通过Sklearn中的决策树提取数据点的“路径”

https://www.generacodice.com/cn/articolo/1109892/通过sklearn中的决策树提取数据点的-路径
  python  -  machine-learning  -  scikit-learn  -  decision-trees
datascience.stackexchange datascience.stackexchange

如何在决策树学习之前预处理不同类型的数据（连续，离散，分类）

https://www.generacodice.com/cn/articolo/1107279/如何在决策树学习之前预处理不同类型的数据-连续-离散-分类
  data-mining  -  random-forest  -  decision-trees  -  preprocessing  -  data
datascience.stackexchange datascience.stackexchange

C5.0算法的交叉验证

https://www.generacodice.com/cn/articolo/1106515/c5-0算法的交叉验证
  machine-learning  -  data-mining  -  classification  -  random-forest  -  decision-trees
datascience.stackexchange datascience.stackexchange

决策树或逻辑回归？

https://www.generacodice.com/cn/articolo/1105929/决策树或逻辑回归
  classification  -  logistic-regression  -  decision-trees
datascience.stackexchange datascience.stackexchange

关于书籍编程集体智能中决策树的问题

https://www.generacodice.com/cn/articolo/1105107/关于书籍编程集体智能中决策树的问题
  python  -  decision-trees
datascience.stackexchange datascience.stackexchange

修剪决策树是否总是使它更加笼统？

https://www.generacodice.com/cn/articolo/1104462/修剪决策树是否总是使它更加笼统
  machine-learning  -  classification  -  supervised-learning  -  decision-trees
datascience.stackexchange datascience.stackexchange

字符串作为决策树/随机森林中的特征

https://www.generacodice.com/cn/articolo/1104239/字符串作为决策树-随机森林中的特征
  python  -  machine-learning  -  random-forest  -  scikit-learn  -  decision-trees
datascience.stackexchange datascience.stackexchange
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