👉 A stratotrainer is a type of machine learning model that is designed to work well with large datasets and high-dimensional inputs. It is often used in scenarios where one wants to create models that can handle complex, non-linear relationships between input variables and outputs, such as those observed in real-world applications like finance or healthcare. Stratotrainers are typically trained using a combination of supervised and unsupervised learning techniques, with the goal of achieving high accuracy on both binary classification and regression tasks.