[Resources] today to share learning punch - a decision tree (Decision Tree)

Today, open learning, decision tree

A decision tree is very common base model classification problem. Composed mainly of three steps: feature selection, decision tree, the decision tree pruning

There are three commonly used algorithms: ID3, C4.5, the CART (Classificaiton and Regression Tree)

ID3 algorithm for the use of core information gain criteria to select features

The core C4.5 algorithm for the use of information gain than to select the features

CART utilizing squared error minimization principle, to select the feature (regression trees); or Gini index (Gini Index) minimization criterion for feature selection (classification tree)

Its main drawback is that the training set data overfitting

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Read to share with you some resources to help you fast, intuitive learning

link:

https://pan.baidu.com/s/1wxPaRUFISPIe38RzCb-Qig