Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

Conventional metrics used to evaluate stocks may not apply to technology stocks. We used machine-learning techniques to analyze the associations between over a hundred financial metrics and historical ...

When you want to see whether one CPU is faster than another, you have PassMark. For GPUs, there’s Unigine’s Superposition. But what do you do when you need to figure out how fast your machine-learning ...

Even as machine learning and artificial intelligence are drawing substantial attention in health care, overzealousness for these technologies has created an environment in which other critical aspects ...