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 relation ...
Background: The psychological health issues and bone mass reduction observed in patients with human immunodeficiency virus (HIV)/acquired immunodeficiency syndrome (AIDS) have attracted increasing ...
A profound understanding of dental students' use of artificial intelligence (AI) applications and their perceptions is essential for promoting responsible adoption and guiding integration into dental ...
Abstract: The logistic regression model is a linear model widely used for two-category classification problems. This report examines the enhancement and improvement methods of logistic regression ...
Objectives The role of the triglyceride–glucose body mass index (TyG-BMI) in glycaemic state transitions among individuals with pre-diabetes remains unclear. This study explores the association ...
Implement Logistic Regression in Python from Scratch ! In this video, we will implement Logistic Regression in Python from Scratch. We will not use any build in models, but we will understand the code ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results