Abstract: This study presents a robust classification framework for brain tumor diagnosis using Gaussian Naive Bayes. The method was selected for its simplicity, efficiency with high-dimensional data, ...

A suite of ML models—Logistic Regression, Random Forest, KNN, SVM, Gaussian Naive Bayes—was used to predict patient readmission. (1) Rasoul Samani, School of Electrical and Computer Engineering, ...

AI Powered Smart Farming Assistant uses advanced technology, including machine learning and CNNs, to provide farmers with crop recommendations, disease identification, weather forecasts, fertilizer ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the naive Bayes regression technique, where the goal is to predict a single numeric value. Compared to other ...

ABSTRACT: Precipitation is a critical meteorological factor that significantly impacts agriculture in the sub-Saharan and Sahelian regions of Africa. Accurate knowledge of precipitation levels aids in ...

Overview: This project aims to predict whether a patient has diabetes based on various medical diagnostic measurements. The prediction model uses the Gaussian Naive Bayes algorithm, which is effective ...

Abstract: Naive Bayes is one of the most effective and efficient classification algorithms and its classifiers still tend to perform very well under unrealistic assumptions. Especially for small ...