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Diabetes Prediction Using Machine Learning by Mohammed Hussein is a document available to read on EtoBox.

What is Diabetes Prediction Using Machine Learning about?

This document discusses using machine learning techniques to develop predictive models for diabetes classification and detection. Specifically, it analyzes the Pima Indian diabetes dataset using five supervised machine learning algorithms: linear kernel support vector machine, radial basis function kernel support vector machine, k-nearest neighbor, artificial neural network, and multifactor dimensionality reduction. The goal is to classify patients as diabetic or non-diabetic and better understand diabetes

Author

Mohammed Hussein

Language

EN