Modellkiegyensúlyozott

Modellkiegyensúlyozott is a Hungarian term meaning "model-balanced." It appears in technical contexts to describe a model that distributes influence, energy, or importance evenly across its components. The exact meaning depends on the discipline.

In control theory, a closely related concept is the kiegyensúlyozott realizáció (balanced realization). Here a state-space model is transformed so that the controllability and observability measures are simultaneously diagonal and ordered. This balancing exposes state variables according to their contribution to input-output behavior, which facilitates model order reduction by truncating states with small energy (low Hankel singular values).

In statistics and machine learning, modellkiegyensúlyozott may refer to models and training procedures that aim to avoid bias toward particular classes or groups. This can involve balancing datasets, applying class weights, or regularization strategies that ensure no subset of features or samples dominates the model's decisions. Balanced modeling improves fairness and generalization on representative data.

Because the term is not a single fixed technical term in one standardized field, its meaning varies with context. In Hungarian technical writing it appears in phrases like kiegyensúlyozott realizáció, kiegyensúlyozott modellépítés, or kiegyensúlyozott adatelemzés, signaling an emphasis on equal or proportional influence across model components.

Related concepts include balanced realization, model order reduction, and class imbalance handling.