Open Conference Systems, 50th Scientific meeting of the Italian Statistical Society

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Random Garden: a Supervised Learning Algorithm
Ivan Luciano Danesi, Valeria Danese, Nicolò Russo, Enrico Tonini

Last modified: 2018-05-18


Classification and Regression Trees model and two ways for ensembling them are considered, aimed to predict a binary response. The first one is Random Forest and the second is Random Garden, presented in this work. The feature selection impact on the different algorithms is investigated. The described procedures are applied to 18 Customer Relationship Management data sets constructed in Banking field.


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