A combined pipeline of advanced feature selection plus supervised/ensemble classifiers improved CKD risk prediction compared with using raw variables without tuning. Hemoglobin ranked among the most ...
This project is a simple web application that uses a **Naive Bayes Classifier** to predict whether a movie review expresses a **positive** or **negative** sentiment. It is built using **Flask**, ...
1 Computer Science Department, Babcock University, Ilishan-Remo, Ogun State, Nigeria. 2 Computer Science Department, Adeleke University, Ede, Osun State, Nigeria. 3 Department of Applied Mathematics, ...
ABSTRACT: Arid and semiarid regions face challenges such as bushland encroachment and agricultural expansion, especially in Tiaty, Baringo, Kenya. These issues create mixed opportunities for pastoral ...
The goal of a machine learning regression problem is to predict a single numeric value. There are roughly a dozen different regression techniques such as basic linear regression, k-nearest neighbors ...
This project implements multinomial and Bernoulli Naive Bayes algorithms for text classification on the Reuters-21578 dataset. It covers data preprocessing, model training, evaluation, and statistical ...
Abstract: The naive Bayesian (NB) classifier is one of the simple but most efficient and stable classification methods. The great efficiency of NB is mainly because of the conditionally independence ...
Abstract: The naive Bayesian (NB) classifier is one of the simple yet powerful classification methods. One of the important problems in NB (and many other classifiers) is that it is built using crisp ...
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