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 ...
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 ...
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 ...
IEEE

A Text Sentiment Classification Modeling Method Based on Coordinated CNN-LSTM-Attention Model*

Abstract: The major challenge that text sentiment classification modeling faces is how to capture the intrinsic semantic, emotional dependence information and the key part of the emotional expression ...