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Tag: Decision Tree

Classification Models, Machine Learning - Data Mining, Regression ModelsLeave a comment

Ensemble: Bagging, Random Forest, Boosting and Stacking

May 4, 2020July 31, 2020 Tung.M.Phung

An ensemble of trees (in the form of bagging, random forest, or boosting) is usually preferred over one decision tree alone. Continue reading Ensemble: Bagging, Random Forest, Boosting and Stacking

Classification Models, Machine Learning - Data Mining6 Comments

Information Gain, Gain Ratio and Gini Index

January 4, 2020July 31, 2020 Tung.M.Phung

Information Gain, Gain Ratio and Gini Index are the three fundamental criteria to measure the quality of a split in Decision Tree. Continue reading Information Gain, Gain Ratio and Gini Index