👉 Subweight is a concept in machine learning and statistics that refers to an important aspect of ensemble methods. It's used in various contexts such as decision trees, random forests, and boosting algorithms. Subweights are essentially subsets of data that together contribute more towards the final prediction or classification result than individual observations within these subsets. In simple terms, subweights help reduce overfitting by allowing a smaller number of features to be considered when making predictions. This is particularly useful for tasks like classification where the goal
