Bitcoin Ordinals have emerged as a novel way to enhance the functionality and use of Bitcoin, the original cryptocurrency. By leveraging Bitcoin's blockchain in a new and innovative manner, Ordinals ...

In this study, regions were used as the spatial units of analysis 20. The 10 East African countries are divided into 132 administrative areas (regions). The outcome variable was coded as an ordinal ...

Maternal anemia during lactation constitutes a significant public health concern in Ethiopia, presenting considerable health risks to both mothers and their infants. Despite ongoing efforts ...

ABSTRACT: Food insecurity is a global issue, and households in a society can experience food insecurity at different levels that could range from being mildly food insecure to severely food insecure.

ABSTRACT: Ordinal outcome neural networks represent an innovative and robust methodology for analyzing high-dimensional health data characterized by ordinal outcomes. This study offers a comparative ...

In machine learning, classification tasks are everywhere spam detection, medical diagnosis, credit scoring, churn prediction, and more. Among the foundational algorithms for classification, Logistic ...

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.

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.

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Regression in autism refers to the backtracking of skills, often in communication, social interaction, or daily functioning. Regression in autism is a condition where an individual with autism ...

Logistic regression is a type of regression analysis used to model the relationship between a binary response variable and one or more predictor variables. It is a statistical technique that is ...