For the Abalone dataset the aim is to predict the age of abalone from physical measurements; for the Car Evaluation dataset the aim is to predict the car acceptability given its features; for the ...

General naive Bayes classification is a classical machine learning technique to predict a discrete value. There are several variations of naive Bayes (NB) including Categorical NB, Bernoulli NB, ...

A full-code demo from Dr. James McCaffrey of Microsoft Research shows how to predict the type of a college course by analyzing grade counts for each type of course. General naive Bayes classification ...

This project focuses on the classification of seven distinct types of dry beans using a multinomial logistic regression model. The dataset encompasses features related to the beans' form, size, shape, ...

Multi-class classification has attracted much attention in cancer diagnosis and treatment and many machine learning methods have emerged for addressing this issue recently. However, class imbalance ...

We study regularized estimation in high-dimensional longitudinal classification problems, using the lasso and fused lasso regularizers. The constructed coefficient estimates are piecewise constant ...

Abstract: Malware detection has been widely explored in recent years due to an increased rate of information theft, ransom demands and money laundering cases. It is known that MS Windows Operating ...