This project implements a classification model using Logistic Regression to predict target values based on input features. The dataset is preprocessed using techniques such as feature scaling, and the ...

Motivated by the significant advances in integer optimization in the past decade, we introduce mixed-integer optimization methods to the classical statistical problems of classification and regression ...

Course Topics Classification and regression tree (CART) methods are a class of data mining techniques which constitute an alternative approach to classical regression. CART methods are frequently used ...

Classification and regression trees are ideally suited for the analysis of complex ecological data. For such data, we require flexible and robust analytical methods, which can deal with nonlinear ...

This project aims to predict whether an individual's annual income exceeds $50,000 based on census data, also known as the "Adult Census Income" dataset. The classification is performed using two ...

Linear regression and its variants have achieved considerable success in image classification. However, those methods still encounter two challenges when dealing with hyperspectral image (HSI) ...