Logistic regression is the most cost-effective model for medial vascular calcification classification, with a mean ICER of $278 using five low-cost features. Despite similar diagnostic accuracy ...

Binary Classification Using New PyTorch Best Practices, Part 2: Training, Accuracy, Predictions Dr. James McCaffrey of Microsoft Research explains how to train a network, compute its accuracy, use it ...

Based on recent years' financial data of US restaurant firms, this study developed failure prediction models using logistic regression and artificial neural networks (ANNs). The findings show that the ...