Level2Prädiktor
Level2Prädiktor is a term that appears to refer to a component or concept within a specific predictive modeling framework, likely within a machine learning or statistical context. The "Level 2" designation suggests it operates at a higher level of abstraction or integration compared to "Level 1" predictors. This typically implies a system where the outputs of initial, or "Level 1," predictive models are themselves used as input features for a subsequent, or "Level 2," model.
This hierarchical approach is often employed in ensemble methods, such as stacking or blended models. In such
The purpose of a Level2Prädiktor is to leverage the collective intelligence of multiple models, potentially mitigating