Ordinal regression and classification methods form a vital branch of statistical learning wherein the outcome variable possesses an inherent order. Unlike conventional classification problems, where ...

This project involves building a classification model to predict the quality of wine based on various chemical properties. The aim is to analyze feature relevance for specific classes given the highly ...

Introduction: We present an ordinal logistic regression model for identification of items with differential item functioning (DIF) and apply this model to a Mini-Mental State Examination (MMSE) ...

Editor’s note: How can we assess a person’s language proficiency level? In addition to making assessments through objective questions, subjective scoring is also required, such as essay scoring and ...

Abstract: Ordinal regression refers to classifying object instances into ordinal categories. It has been widely studied in many scenarios, such as medical disease grading and movie rating. Known ...

This project implements Ordinal Logistic Regression for salary prediction based on the 2022 Kaggle Salary Dataset. The dataset has been cleaned and preprocessed to extract meaningful features, perform ...