Oversampling Method To Handling Imbalanced Datasets Problem In Binary Logistic Regression Algorithm

https://doi.org/10.22146/ijccs.37415

Windyaning Ustyannie(1*), Suprapto Suprapto(2)

(1) Prodi S2 Ilmu Komputer; FMIPA UGM, Yogyakarta
(2) Departemen Ilmu Komputer and Elektronika, FMIPA UGM, Yogyakarta
(*) Corresponding Author

Abstract


The class imbalance is a condition when one class has a higher percentage than the other then it can affect the accuracy. One method in data mining that can be used to classification is logistic regression method. The method used in this research is RWO-sampling method using random replicate approach for synthetic data generation on descrete attribute. The result of the research can handle the problem of class imbalance, RWO-sampling method with random replicate approach shows better accuracy than RWO-sampling method with roulette and ROS approach. The accuracy value for RWO-Sampling method with roulette and RWO-Sampling approach with random replicate approach has increased to an average of 15.55% of each dataset. As for comparithem with the ROS method has increased an average of 3.7% of each dataset. Furthermore, for testing the underfitting problem in logistic regression, the oversampling method is better than non-oversampling with an increase in accuracy value reaching an average of 2.3% of each dataset.

Keywords


Imbalanced Datasets; RWO-Sampling; Logistic Regression

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References

[1] H. He and Y. Ma, Imbalanced Learning: Foundations, Algorithms, and Applications, pp. 101-149, John Wiley & Thenns, New Jersey, 2014.

[2] J. A. Sáez, J. Luengo, J. Stefanowski and F. Herrera, SMOTE – IPF : Addressing the noisy and borderline examples problem in imbalanced classification by a re-sampling method with filtering, pp. 184–203, https://doi.org/10.1016/j.ins.2014.08.051, 2015.

[3] I. H. Witten, F. Eibe, and M. A. Hall, Data Mining : Practical Machine Learning Tools and Techniques, 3rd Edition, Elsevier, United States, 2011.

[4] P. Harrington, Machine Learning in Action, Manning Publications Co, 2012.

[5] B. W. Yap, K. A. Rani, H. A. A. Rahman, S. Fong, Z. Khairudin, and N. N. Abdullah, An Application of Oversampling, Undersampling,Bagging and Boosting in Handling Imbalanced Datasets, (eds) Proceedings of the First International Conference on Advanced Data and Information Engineering (DaEng-2013), Lecture Notes in Electrical Engineering, vol. 285, Springer, Singapore, 2014.

[6] H. Zhang and M. Li, RWO-Sampling: A Random Walk Over-sampling Approach to Imbalanced Data Classification, Information Fusion, vol. 20(1), pp. 99–116, 2014.

[7] Y. Qian, Y. Liang, M. Li, G. Feng, and X. Shi, A Resampling Ensemble Algorithm for Classification of Imbalance Problems, Neurocomputing, vol. 143, pp. 57–67, http://doi.org/10.1016/j.neucom.2014.06.021, 2014.

[8] J. F. Díez-Pastor, J. J. Rodríguez, C. García-Othenrio, and L. I. Kuncheva, Random Balance: Ensembles of Variable Priors Classifiers for Imbalanced Data, Knowledge Based Systems, vol. 85, pp. 96–111, 2015.

[9] H. L. Dai, Class Imbalance Learning Via a Fuzzy Total Margin Based Support Vector Machine, Applied Thenft Computing, vol. 31, pp. 172–184, 2015.

[10] Q. Fan, Z. Wang, and D. Gao, One-sided Dynamic Undersampling No-Propagation Neural Networks for imbalance problem, Engineering Applications of ArtificialIntelligence, vol. 53, pp. 62–73, 2016.



DOI: https://doi.org/10.22146/ijccs.37415

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