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All Journal PROSIDING SEMINAR NASIONAL Jurnal Kesehatan Masyarakat Indonesia Telematika : Jurnal Informatika dan Teknologi Informasi INFORMAL: Informatics Journal Sistemasi: Jurnal Sistem Informasi JURTEKSI Journal of Soft Computing Exploration
Aris Puji Widodo
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Computer Science & IT Education Electrical & Electronics Engineering Public Health

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Journal : Journal of Soft Computing Exploration

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Car insurance segmentation prediction based on the most influential features using random forest and stacking ensemble learning Etna Vianita; Adi Wibowo; Bayu Surarso; Aris Puji Widodo
Journal of Soft Computing Exploration Vol. 2 No. 2 (2021): September 2021
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v2i2.39

Abstract

In addition to financial transaction services, the Bank also provides insurance services by conducting regular campaigns to attract new customers such as car insurance based on market segmentation, which is one of the main aspects of marketing used in financial services based on demographic data. One way to analyze the market is to predict the likely target market based on the campaign's target demographic data. Therefore, this study aims to find the best classification method for predicting campaign targets using historical data from 4000 customers of a bank in the United States. The market segmentation analysis process uses the best feature selection and ensemble learning. The best feature selection is selected using important features for Random Forest. The ensemble learning used is a stacking model consisting of the basic model of Logistic Regression, Support Vector Classifier, Gradient Boosting, Extra Tree, Bagging, Adaboost, Gaussian Naive Bayes, MLP, XBoost, LGBM, KNeighbors, Decision Tree, and Random Forest. The accuracy results of the stacking model can exceed the accuracy of the basic model with an accuracy rate of 78.80%.
Co-Authors Adi Wibowo Ana Maulida Arizona Firdonsyah Bayu Surarso Doni Wiryadinata Edwanda Arisandy Eko Sediyono Etna Vianita Fajar Nugraha Farid Agushybana Hanif Prasetyo bhakti Adi Nugroho Keszya Wabang Luh Putu Ratna Sundari Oktalia Juwita R. Rizal Isnanto Rahmat Gernowo Romy Aziz Risaldi Sausan Hidayah Nova Soni Adiyono Yusiana Rahma