Sjarif, N. N. A. and Yusof, M. R. M. and Wong, D. H. T. and Ya'akob, S. and Ibrahim, R. and Osman, M. Z. (2019) A customer churn prediction using pearson correlation function and k nearest neighbor algorithm for telecommunication industry. International Journal of Advances in Soft Computing and its Applications, 11 (2). pp. 46-59. ISSN 2074-8523
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Abstract
Customer churn in telecommunication industry is actually a serious issue. The Telco company needs to have a churn prediction model to prevent their customer from moving to another telco. Therefore, the objective of this paper is to propose the customer churn prediction using Pearson Correlation and K Nearest Neighbor algorithm. The algorithm is validated via training and testing dataset with the ratio 70:30. Based on experiment, the result shows that the K Nearest Neighbor algorithm performs well compared to the others with the accuracy for training is 80.45% and testing 97.78%.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | k nearest neighbor, machine learning, pearson correlation |
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Razak School of Engineering and Advanced Technology |
| ID Code: | 89617 |
| Deposited By: | Narimah Nawil |
| Deposited On: | 09 Feb 2021 05:01 |
| Last Modified: | 09 Feb 2021 05:01 |
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