SMO AND LAZY CLASSIFIERS FOR HEART DISEASE PREDICTION
Abstract & Details
Research Area
Computer Science
Keywords
Data mining
Machine Learning
Classification
Abstract
Data mining and machine learning technique are rapidly developed for many kinds of applications. One of the important applications is in medical diagnosis field. The aim of this paper is to compare the different classifiers for heart disease classification. In this paper, SMO classifier and two lazy classifiers (IBK and KStar) are used for prediction of heart disease. The results of each classifiers are compared and analysis. The experiments results proved that SMO classifier is better than other classifiers for heart disease prediction.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Aung Nway Oo | University of Information Technology, Myanmar |
| 2 | Thin Naing | University of Information Technology, Myanmar |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Oo, Aung Nway & Naing, Thin (2019). SMO AND LAZY CLASSIFIERS FOR HEART DISEASE PREDICTION. International Journal of Advance Research and Innovative Ideas In Education, 5(2), 2829-2833.
MLA Style
Oo, Aung Nway, and Thin Naing. "SMO AND LAZY CLASSIFIERS FOR HEART DISEASE PREDICTION." International Journal of Advance Research and Innovative Ideas In Education, vol. 5, no. 2, 2019, pp. 2829-2833.
IEEE Style
Aung Nway Oo and Thin Naing, "SMO AND LAZY CLASSIFIERS FOR HEART DISEASE PREDICTION," International Journal of Advance Research and Innovative Ideas In Education, vol. 5, no. 2, pp. 2829-2833, 2019.
Vancouver Style
Oo Aung Nway, Naing Thin. SMO AND LAZY CLASSIFIERS FOR HEART DISEASE PREDICTION. International Journal of Advance Research and Innovative Ideas In Education. 2019;5(2):2829-2833.
Harvard Style
Oo, Aung Nway & Naing, Thin (2019) 'SMO AND LAZY CLASSIFIERS FOR HEART DISEASE PREDICTION', International Journal of Advance Research and Innovative Ideas In Education, 5(2), pp. 2829-2833.
Chicago Style
Oo, Aung Nway and Thin Naing. "SMO AND LAZY CLASSIFIERS FOR HEART DISEASE PREDICTION." International Journal of Advance Research and Innovative Ideas In Education 5, no. 2 (2019): 2829-2833.
Turabian Style
Oo, Aung Nway and Thin Naing. "SMO AND LAZY CLASSIFIERS FOR HEART DISEASE PREDICTION." International Journal of Advance Research and Innovative Ideas In Education 5, no. 2 (2019): 2829-2833.
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