While multiple machine learning (ML) algorithms offered similar predictive performance, the cost-effective analysis revealed ...

Key Takeaways OpenAI's breakthrough started with brain-inspired networks everyone can learnFinancial institutions pay ...

Artificial intelligence (AI) has become part of the daily lexicon, and an endless stream of media reports assert that AI either has affected or will affect most aspects of human life. What is AI and ...

While both models showed remarkable prediction accuracy, decision trees offered an added advantage: interpretability. Decision trees allow for clear threshold identification, rule-based decision paths ...

Feature selection algorithm could select the relative attributes, but it is possible that some important features are deleted. In this paper, we propose hierarchical clustering based logistic ...

Objective A growing body of evidence points to a role for herpesviruses in the development of Alzheimer’s disease (AD) and a reduced risk of AD among patients receiving antiherpetic medications. We ...

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This project implements and compares two multiclass classification algorithms: one-vs-all and all-pairs. Both approaches were implemented using our own implementation of binary logistic regression.