A machine learning random forest regression system predicts a single numeric value. A random forest is an ensemble (collection) of simple decision tree regressors that have been trained on different ...

Discover how random forests, a machine-learning technique, enhance prediction accuracy by combining insights from multiple decision trees.

Understanding how ozone behaves indoors is vital for assessing human health risks, as people spend most of their time inside.

Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...

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 ...

We trained models using logistic regression (LR) and four commonly used ML algorithms to predict NCGC from age-/sex-matched controls in two EHR systems: Stanford University and the University of ...

The principle of “the wisdom of the crowd” shows that a large group of people with average knowledge on a topic can provide reliable answers to questions such as predicting quantities, spatial ...

Our eLibrary offers over 25,000 IMF publications in multiple formats. Macroeconomic analysis in Lebanon presents a distinct challenge. For example, long delays in the publication of GDP data mean that ...