L ast week, a landmark settlement was unveiled in a seminal lawsuit, Bartz v. Anthropic, that may shift the relationship between human creators and the artificial intelligence that has learned from ...

Applying dimension reduction, clustering, classification, and regression techniques in R programming to analyze airline passenger satisfaction data. Identify the factors that significantly impact ...

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 ...

For modeling this multi-label text classification approach, a corpus of beginner problems from a Brazilian OJ was manually curated using predefined class labels related to an introductory programming ...

Statistical modeling is an important aspect of data analysis that provides insights into complex datasets. R is an open-source programming language for statistical computing that offers an extensive ...

As the impact of Machine Learning (ML) on busi-ness and society grows, there is a need for making opaque ML models transparent and interpretable, especially in the light of fairness, bias, and ...

This article presents an analysis of a dataset related to slope stability circular failure cases using the GeneXproTools program. Two models were developed: The first model was utilized to find a ...