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

Analyzing the Effect of LED Light on Plant Growth Using Logistic Regression and SHAP-Based Explainable AI Models

Abstract: This study investigates how LED lighting affects plant growth using Logistic Regression and SHAP-based Explainable AI. Five agriculture datasets were analyzed, and models including SVM and ...
IEEE

Which Data Harms My Regression Model: Enhancing Model Performance on Low-Quality Data through Fast Data Attribution

Abstract: With the rapid advancement of model architectures, the accuracy of industrial predictive modeling now largely hinges on data quality. However, real-world industrial datasets frequently ...