Abstract: This paper presents a comparative analysis of various decision tree algorithms applied to the task of predicting match outcomes in Defense of the Ancients 2, a complex multiplayer online ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Abstract: The ability to read the Qur’an correctly is fundamental in Islamic education and is often taught using the Tahqiq method, which emphasizes precision in pronunciation, tajwid, rhythm, and ...

It was one Christmas visitor that didn’t overstay its welcome. A Burmese python that had been spotted in a Miami-Dade neighborhood was removed just days before Christmas after a resident out for a ...

Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...

According to DeepLearning.AI, decision trees have evolved from basic Aristotelian logic to become crucial in AI models, including applications in cryptocurrency trading algorithms. This algorithm's ...

This project uses Weka to analyze the "Car Evaluation" dataset with decision trees, comparing model performance on 70/30 and 50/50 data splits. It includes accuracy, F1-scores, and decision tree ...

Decision tree is an effective supervised learning method for solving classification and regression problems. This article combines the Pearson correlation coefficient with the CART decision tree, ...

Analytics is often associated with online marketing as a way to measure visits to a website and online commerce. Yet as brands increasingly rely on apps and websites to entice customers, they are ...