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 ...
IEEE

Multi-Class Classification of BMI Categories with Logistic Regression, SVM, Random Forest, and XGBoost

Abstract: Body Mass Index is a main indicator for assessing weight related health risks and classifying individuals listed as underweight, normal, overweight or obese. Accurate prediction of BMI ...
Winona Post

Local schools see benefits in multi-age classes

At a number of area schools, multi-age classes combine students from different grades into one class. Staff members said this allows students to have the same teachers and classrooms for a few years, ...
Mashable

The Brick screen time blocker is an even better value when multiple people use it

All products featured here are independently selected by our editors and writers. If you buy something through links on our site, Mashable may earn an affiliate commission. However, there's one big ...
Hosted on MSN

Python neural network for multiclass classification using softmax

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...
Scientific Research Publishing

Shipe, M.E., Deppen, S.A., Farjah, F. and Grogan, E.L. (2019) Developing Prediction Models for Clinical Use Using Logistic Regression: An Overview. Journal of Thoracic Disease ...

ABSTRACT: Bipolar disorder is a multifaceted psychiatric illness characterized by unpredictable mood episodes and highly variable treatment responses across individuals. Predicting response to ...
GitHub

Multi-class Image Classification for Unbalanced Fashion Data

This project investigates the impact of class imbalance on multi-class classification using an MLP classifier trained on a modified subset of the FashionMNIST dataset. The goal was to evaluate ...