Why write SQL queries when you can get an LLM to write the code for you? Query NFL data using querychat, a new chatbot ...

This paper presents a computationally efficient method for binary classification using Manski’s (1975,1985) maximum score model.

Byrne, B. M. (2016). Structural Equation Modelling with AMOS Basic Concepts, Applications, and Programming (3rd ed.). Routledge.

Various classification models have been fitted in prior studies to describe both climatic and non-climatic factors that influence the spread of malaria. However, there have been no comprehensive ...

Multiclass classification is one of the most fundamental tasks in data mining. However, traditional data mining methods rely on the model assumption, they generally can suffer from the overfitting ...

Modular Programming for Machine Learning: Customer Churn classification use case Overview This repository focuses on building a modular and reusable Python codebase for customer Churn classification ...

However, these models face challenges in multiclass settings. A common solution is to transform the multiclass comparison into multiple two-class comparisons, which, while more effective than a global ...

This study introduces an innovative computational approach using hybrid machine learning models to predict toxicity across eight critical end points: cardiac toxicity, inhalation toxicity, dermal ...

Recently, incorporating more than one programming model into a system designed for high performance computing (HPC) has become a popular solution to implementing parallel systems. Since traditional ...