After earlier explaining how to compute disorder and split data in his exploration of machine learning decision tree classifiers, resident data scientist Dr. James McCaffrey of Microsoft Research now ...

The following is a summary of “A novel predictive method for URS and laser lithotripsy using machine learning and explainable ...

The predictive accuracy of 5 machine learning classifiers (logistic regression classifier, random forest classifier, support vector machine, k-nearest neighbor, and adaptive boosting) was examined ...

Machine learning classifiers are widely used in financial applications. Due to the nature of certain classification problems, special care should be taken when dealing with imbalanced data. In ...

Scientists have shown that the laborious first step of identifying tumor-reactive T cell receptors for patients can be replaced with a machine learning classifier that halves this time.

The research relied on a deep architecture using machine-learning classifiers to identify with 99% accuracy those adults who had received a childhood diagnosis of ADHD many years earlier. “This ...