👉 Outpulls are a type of data aggregation technique in machine learning and statistical inference. In statistics, an outpull is a measure of how much a random variable depends on its past values. Outpulls can be used to model uncertainty in predictions or estimates by taking into account the past behavior of the variable. In machine learning, outpulls are often used as part of ensemble methods, where multiple models are trained and combined to improve overall performance. The goal is to find a model that captures
