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What is the differences in the Gini Index, Chi-Square, and Information Gain splitting methods?



2019 Community Moderator Electionwhat is the difference between “fully developed decision trees” and “shallow decision trees”?Gini Impurity vs EntropyFit Decision Tree to Gradient Boosted Trees for InterpretabilityMore features hurts when underfitting?Decision Trees - C4.5 vs CART - rule setsWhat exactly is a Gini IndexHow Can I Compute Information-Gain for Continuous- Valued AttributesWhen does decision tree perform better than the neural network?Why neural networks do not perform well on structured data?Decision Tree - Preprocessing for very sparse features










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I am looking through decision trees, and I do not understand what makes each of these methods different. Could someone explain clearly what the difference between these is? Thank you.










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    I am looking through decision trees, and I do not understand what makes each of these methods different. Could someone explain clearly what the difference between these is? Thank you.










    share|improve this question







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      I am looking through decision trees, and I do not understand what makes each of these methods different. Could someone explain clearly what the difference between these is? Thank you.










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      I am looking through decision trees, and I do not understand what makes each of these methods different. Could someone explain clearly what the difference between these is? Thank you.







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