Regression models can capture various relationships, including those with multiple influencing factors and interdependencies between features. They are often chosen for their robustness, ability to handle small datasets, and interpretability, with multiple types available. Question: Which of the following is best described by the statement: "These constructs are not just one decision tree, but a large number of trees, allowing better predictions on more complex data. Widely used in machine learning and science due to their strong prediction abilities."