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Application of entropy in the decision tree of the classification model
Application of entropy in the decision tree of the classification model
The decision to make strategic divisions has a big impact on the accuracy of the tree. Decision trees use multiple algorithms to make decisions about splitting a node into two or more child nodes. Creating subnodes increases the homogeneity of the resulting nodes. In other words
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