Programmer Group

1, Construction of decision tree decision tree is a kind of common machine learning algorithm. It makes decisions based on tree structure. Step by step from the root node to the leaf node (decision). All data will eventually fall to leaf nodes, which can be classified or regressed. Decision tree Advantages: the calculation complexity ...

Chapter IV decision tree 1 basic process 2 division selection With the continuous division process, we hope that the samples contained in the branch nodes of the decision tree belong to the same category as much as possible, that is, the "purity" of the nodes is getting higher and higher. 2.1 information gain 2.1.1 what is info ...

Decision tree in sklearn Module: sklearn.tree tree.DecisionTreeClassifierClassification treetree.DecisionTreeRegressorRegression treetree.export_graphvizThe generated decision tree is exported to DOT mode for drawingtree.ExtraTreeClassifierHigh random version classification treetree.ExtraTreeRegressorHigh random version of regression tr ...

Catalog 1. Decision Tree Model Data Classification 2. Decision tree pruning alleviates over-fitting problems *Common decision tree algorithms are ID3, C4.5, and CART. The ID3 algorithm, proposed by Quinlan, an Australian computer scientist, in 1986, is one of the classic decision tree algorithms. The ID3 algorithm uses information gain to s ...

Decision tree algorithm type Decision tree is a series of algorithms, not an algorithm. The decision tree includes ID3 classification algorithm, C4.5 Classification Algorithm, Cart classification tree algorithm and Cart regression tree algorithm. Decision tree can be used as both classification algorithm and regression algorithm. Therefore, de ...