A Fully Bayesian Logistic Regression Model for Classification of ZADA Diabetes Dataset

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...

Szczegółowa specyfikacja

Opis bibliograficzny
1. autor: Masoud M. Hassan
Format: Artykuł
Język:English
Wydane: University of Zakho 2020-09-01
Seria:Science Journal of University of Zakho
Hasła przedmiotowe:
Diabetes
Bayesian Logistic Regression
Markov Chain Monte Carlo
Classification
Informative Priors
Dostęp online:https://sjuoz.uoz.edu.krd/index.php/sjuoz/article/view/707

Internet

https://sjuoz.uoz.edu.krd/index.php/sjuoz/article/view/707

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