Introduction: The learning process is characterized by its variability rather than linearity, as individuals differ in how they receive, process, and store information. In traditional learning, taking ...

1 PG & Research Department of Computer Science, D.G.Vaishnav College, Chennai, India. 2 PG Department of IT & BCA, D.G.Vaishnav College, Chennai, India. 3 Department of Computer Science, Souht East ...

Banks are important for the development of economies in any financial ecosystem through consumer and business loans. Lending, however, presents risks; thus, banks have to determine the applicant’s ...

A Multinomial Naive Bayes Classifier is a type of Naive Bayes algorithm used primarily for text classification tasks, such as spam detection, sentiment analysis, and document categorization. It is ...

Lupus nephritis (LN) is a complex autoimmune disease affecting the kidneys and represents a significant health concern due to its diverse clinical manifestations and heterogeneous nature (1). Progress ...

Abstract: Naive Bayes is one of the most well-known data mining algorithms for classification. Naive Bayes is a simple and effective learning theory that does not need various parameters. However, ...

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 ...