IEEE

A Robust Multi-Class Obesity Classification and Risk Analysis System by Leveraging the Potentiality of Machine Learning Techniques

Abstract: Obesity, a significant global health issue, is linked to numerous multifactorial inherited conditions, including cardiovascular disease, hypertension, diabetes, and various other serious ...

Predicting Airline Delays at Scale with Spark ML

A UC Berkeley team used Apache Spark ML to predict airline delays at scale, training models on millions of flight records and ...
CU Boulder News & Events

Exploring the Use of Vulnerability-Based Analyses with Classification and Regression Trees in Reclamation's Mid-Term Operational Projections

The Bureau of Reclamation (Reclamation) projects 2 – 5-year Colorado River Basin (CRB) system conditions for stakeholders using their Colorado River Mid – Term Modeling System (CRMMS). As inputs, this ...
IEEE

Fuzzy LASSO Logistic Regression: A Regularized Framework for Interpretable Binary Classification Under Uncertainty

Abstract: Fuzzy classification models are important for handling uncertainty and heterogeneity in high-dimensional data. Although recent fuzzy logistic regression approaches have demonstrated ...
GitHub

Emotion Classification on Twitter Dataset

Preprocessing of text data (tokenization, normalization, etc.). Multi-class emotion classification using Logistic Regression and SVM. Detailed evaluation using classification metrics and ...