The goal of a machine learning regression problem is to predict a single numeric value. For example, you might want to predict the annual income of a person based on their sex (male or female), age, ...

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 ...

The original AdaBoost ("adaptive boosting") algorithm is a binary classification technique (predicting a variable that has two possible values, such as the sex of a person). The AdaBoost.R2 ("AdaBoost ...