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2023 1st International Conference on Circuits, Power and Intelligent Systems (CCPIS) by Aurpa, Tanjim Taharat (author);Jeba, Samiha Maisha (author);Rasel, Shoaib Ullah (author) is a scholarly article available to read on EtoBox.

What is 2023 1st International Conference on Circuits, Power and Intelligent Systems (CCPIS) about?

Diabetes can be an issue for people of all ages. Even every one people among the nine is diabetic positive, which can bring more complications to humans. Furthermore, people in Bangladesh are hesitant to talk about this illness and frequently need clarification. They don't care until their life is in danger. Therefore, we researched diabetes prediction through machine learning so that people can know if they are diabetes positive quickly. The main goal is to contribute to the development of an automated system for diabetic prediction which can predict early diabetes using some basic human parameters. One of the significant parts of Machine Learning is Feature Selection techniques. In this work, we intend to focus on this part of the ML paradigm. We analysed the research data and applied feature selection techniques to enhance the performance of ML algorithms. We use PCA, Chi-square test and F classif as our feature selection technique. Then we use the LGBM Classifier, XGB Classifier, SVC, Random Forest Classifier, and Gradient Boosting Classifier and determine the accuracy to justify our selected techniques. Moreover, We applied a voting classifier and weighted average on these mod

Author

Aurpa, Tanjim Taharat (author);Jeba, Samiha Maisha (author);Rasel, Shoaib Ullah (author)

Publisher

IEEE

Published

2023

Language

EN