Coronary Artery Calcium score prediction from chest X-ray using multi-view patch fusion with EVA-X and CORAL ordinal regression CLEF 2026 ELOQUENT Sensemaking — 'The PC Attractor': a CORAL+KDE ordinal ...

This repository contains an analysis of the Kaggle Machine Learning & Data Science Survey dataset, focusing on salary prediction using ordinal logistic regression and other classification models.

Abstract: Ordinal regression aims to predict ordered classes. Existing methods mainly focus on label distribution shapes and feature distance relationships, while the directional characteristics in ...

PythoC lets you use Python as a C code generator, but with more features and flexibility than Cython provides. Here’s a first look at the new C code generator for Python. Python and C share more than ...

A performance fix has been submitted to the Linux kernel for dealing with a regression in the Slab memory allocation code. The sole patch with today's slab pull request for Linux 6.19 and to be ...

Logistic regression is a statistical method used to model binary outcome variables, such as whether a patient recovers or not, using a set of predictors. There are many competing methods for ...

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 ...

You're building a fraud detection system. Your linear regression model spits out a prediction of 1.5 for a transaction. What does 150% probability of fraud even mean? It doesn't. Linear regression can ...

Abstract: Ordinal regression (OR, also called ordinal classification) is classification of ordinal data, in which the underlying target variable is categorical and considered to have a natural ordinal ...

Google Colab, also known as Colaboratory, is a free online tool from Google that lets you write and run Python code directly in your browser. It works like Jupyter Notebook but without the hassle of ...