Open AccessCar insurance segmentation prediction based on the most influential features using random forest and stacking ensemble learning
Author(s) -
Etna Vianita,
Adi Wibowo,
Bayu Surarso,
Aris Puji Widodo
Publication year - 2021
Publication title -
journal of soft computing exploration
Language(s) - English
Resource type - Journals
eISSN - 2746-0991
pISSN - 2746-7686
DOI - 10.52465/joscex.v2i2.39
Subject(s) - random forest , adaboost , decision tree , ensemble learning , naive bayes classifier , artificial intelligence , computer science , machine learning , feature selection , market segmentation , ensemble forecasting , support vector machine , boosting (machine learning) , segmentation , logistic regression , data mining , business , marketing
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