mudelitüüp
Mudelitüüp refers to a category or classification of models, often used in fields such as statistics, machine learning, and scientific modeling. It distinguishes between different underlying structures or assumptions of the models being considered. For example, in statistics, one might differentiate between linear models, generalized linear models, and non-linear models. Each mudelitüüp has its own set of properties, estimation techniques, and interpretation guidelines. Choosing the appropriate mudelitüüp is a crucial step in the modeling process, as it directly impacts the validity and usefulness of the results.
In machine learning, mudelitüübid can refer to broad families of algorithms like decision trees, neural networks,