👉 Rhatymodes are statistical models used in machine learning, particularly for classification problems, where the model predicts the probability that a given input belongs to a particular class or category based on its features. They are often employed as part of ensemble methods, such as Random Forests and Gradient Boosting Machines, which allow multiple models to be trained on different subsets of the data simultaneously, thereby improving their overall performance by combining their predictions.
