A Fully Bayesian Logistic Regression Model for Classification of ZADA Diabetes Dataset
Classification of diabetes data with existing data mining and machine learning algorithms is challenging and the predictions are not always accurate. We aim to build a model that effectively addresses these challenges (misclassification) and can accurately diagnose and classify diabetes. In this stu...
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| Format: | Article |
| Language: | English |
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University of Zakho
2020-09-01
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| Series: | Science Journal of University of Zakho |
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| Online Access: | https://sjuoz.uoz.edu.krd/index.php/sjuoz/article/view/707 |