Journal of Medical Internet Research

Beyond Comparing Machine Learning and Logistic Regression in Clinical Prediction Modelling: Shifting from Model Debate to Data Quality

The rapid uptake of supervised machine learning (ML) in clinical prediction modelling, particularly for binary outcomes based on tabular data, has sparked debate about its comparative advantage over ...
IEEE

Evaluating Machine Learning and Deep Learning Approaches for Binary Sentiment Classification

Abstract: One of the essential functions of the Natural Language Processing is the sentiment analysis that has been grown and improved through the utilization of traditional machine learning (ML) 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

Optimizing Pumpkin Seed Variety Classification: A Logistic Regression Approach to Morphological Analysis

Abstract: This paper employs logistic regression to categorise pumpkin seeds into Urgup_Sivrisi and Cercevelik based on a sample morphological database of 2500 pumpkin seeds from Urgup and Karacaoren, ...