üldistamisvõimet
Üldistamisvõimet, often translated as generalization ability, refers to the capacity of a system, particularly in the context of machine learning and artificial intelligence, to perform well on new, unseen data after being trained on a specific dataset. This is a fundamental concept for any model aiming to be useful in real-world applications, as the training data is merely a sample of the vast possibilities of future inputs.
A model with good generalization ability has effectively learned the underlying patterns and relationships within the
The goal in machine learning is to strike a balance, creating a model that is complex enough