Comparative study of the classification models for prediction of bank telemarketing

Elzhan Zeinulla, Karina Bekbayeva, Adnan Yazici

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This research paper has evaluated various classification models for prediction of bank telemarketing campaign results regarding the probability of the subscription of the customer to the deposit. The effectiveness of these algorithms has been evaluated by Receiving Operator Characteristic (ROC) and Cumulative Accuracy Profile (CAP) curve analysis, the accuracy of the algorithm and variance of the predictions. According to the results of the research, the best model for bank telemarketing effectiveness prediction are Random Forest and Deep Artificial Neural Network. The Logistic Regression and Naive Bayes are not as suitable as the other classification methods for this kind of problems due to the poor accuracy and overfitting issues.

Original languageEnglish
Title of host publicationIEEE 12th International Conference on Application of Information and Communication Technologies, AICT 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538664674
DOIs
Publication statusPublished - Oct 1 2018
Event12th IEEE International Conference on Application of Information and Communication Technologies, AICT 2018 - Almaty, Kazakhstan
Duration: Oct 17 2018Oct 19 2018

Publication series

NameIEEE 12th International Conference on Application of Information and Communication Technologies, AICT 2018 - Proceedings

Conference

Conference12th IEEE International Conference on Application of Information and Communication Technologies, AICT 2018
CountryKazakhstan
CityAlmaty
Period10/17/1810/19/18

Fingerprint

Research
Logistic Models
Mathematical operators
Logistics
Deposits
Neural networks
Comparative study
Prediction
Forests
Operator
Artificial neural network
Overfitting
Subscription
Logistic regression

Keywords

  • ANN
  • bank telemarketing
  • kNN
  • Logistic Regression, CAP, ROC
  • Naive Bayes
  • Random Forest
  • SVM

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Information Systems and Management
  • Health Informatics
  • Information Systems

Cite this

Zeinulla, E., Bekbayeva, K., & Yazici, A. (2018). Comparative study of the classification models for prediction of bank telemarketing. In IEEE 12th International Conference on Application of Information and Communication Technologies, AICT 2018 - Proceedings [8747086] (IEEE 12th International Conference on Application of Information and Communication Technologies, AICT 2018 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICAICT.2018.8747086

Comparative study of the classification models for prediction of bank telemarketing. / Zeinulla, Elzhan; Bekbayeva, Karina; Yazici, Adnan.

IEEE 12th International Conference on Application of Information and Communication Technologies, AICT 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. 8747086 (IEEE 12th International Conference on Application of Information and Communication Technologies, AICT 2018 - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Zeinulla, E, Bekbayeva, K & Yazici, A 2018, Comparative study of the classification models for prediction of bank telemarketing. in IEEE 12th International Conference on Application of Information and Communication Technologies, AICT 2018 - Proceedings., 8747086, IEEE 12th International Conference on Application of Information and Communication Technologies, AICT 2018 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 12th IEEE International Conference on Application of Information and Communication Technologies, AICT 2018, Almaty, Kazakhstan, 10/17/18. https://doi.org/10.1109/ICAICT.2018.8747086
Zeinulla E, Bekbayeva K, Yazici A. Comparative study of the classification models for prediction of bank telemarketing. In IEEE 12th International Conference on Application of Information and Communication Technologies, AICT 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. 8747086. (IEEE 12th International Conference on Application of Information and Communication Technologies, AICT 2018 - Proceedings). https://doi.org/10.1109/ICAICT.2018.8747086
Zeinulla, Elzhan ; Bekbayeva, Karina ; Yazici, Adnan. / Comparative study of the classification models for prediction of bank telemarketing. IEEE 12th International Conference on Application of Information and Communication Technologies, AICT 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. (IEEE 12th International Conference on Application of Information and Communication Technologies, AICT 2018 - Proceedings).
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