IEEE

A Semi-Supervised Ordinal Classification Method Based on Ranking Consistency Regularization

Abstract: We propose a semi-supervised ordinal classification method based on ranking consistency regularization, addressing limitations in capturing ordinal relationships and mitigating semantic ...
GitHub

Iris Flowers Classification with k-Nearest Neighbors

This repository contains a Python package that implements the k-Nearest Neighbors (k-NN) algorithm for classifying Iris flowers into three species: setosa, versicolor, and virginica. The package uses ...
Scientific Research Publishing

Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity ()

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...
IEEE

Classification of Students' Mathematics Learning Achievement on Bloom's Taxonomy-Based Serious Game Using Ordinal Logistic Regression

Abstract: Students' profiles classification is needed to make learning more focused on the purpose of learning. Student profiles that related to student cognitive abilities are generally seen from ...
GitHub

A Python implementation of Krippendorff's Alpha, a statistical measure of inter-rater reliability designed for various data types (Nominal, Ordinal, Interval, and Ratio).

This project uses UV for dependency management. Krippendorff's alpha is more meaningful for larger data samples, however low agreement can still be a sign of labeling issue. The code requires at least ...