GitHub

Tarunchikatipalli1/Glioma-Classification-and-Predictive-Modeling

This R Markdown project performs predictive modeling for glioma grading (LGG vs. GBM) using clinical and molecular features, comparing k-NN, Naive Bayes, and Decision Tree models. This project ...
C&EN

QSAR Classification Modeling Using Machine Learning with a Consensus-Based Approach for Multivariate Chemical Hazard End Points

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. A study by Lou et al. predicting chemical acute dermal toxicity ...
GitHub

Multiple Inputs Binary Classification Modeling

This project focuses on binary classification using multiple input features. The goal is to classify data into one of two distinct categories based on various input attributes. This machine learning ...
IEEE

Adaptive Graph Modeling With Self-Training for Heterogeneous Cross-Scene Hyperspectral Image Classification

Abstract: The small-sample-size problem of hyperspectral image (HSI) classification has recently gained considerable attention. Cross-scene HSI classification has emerged as an effective solution to ...
Investopedia

Predictive Modeling: Techniques, Uses, and Key Takeaways

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Jared Ecker is a researcher and fact-checker ...