Abstract: The reliability evaluation of composite generation and transmission systems is a problem with high computational effort. The optimization of algorithms that carry out this assessment has ...

In this paper, we present VerifyBench, a benchmark specifically designed to evaluate the accuracy of reference-based reward systems. To create VerifyBench, we curated a diverse collection of ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Welcome to the MAIT repository! This pipeline, implemented in Python, is designed to streamline your machine learning workflows using Jupyter Notebooks. It is compatible with both Windows and Linux ...

Abstract: This research paper examines the accuracy of the logistic regression method in predicting employee attrition. Employee attrition is of particular interest to human resources departments due ...