Ylisovituksen
Ylisovituksen is a term that originates from Finnish and translates roughly to "over-adjustment" or "over-fitting." In various fields, it refers to a situation where a model or system is too closely tailored to a specific dataset or set of conditions, making it perform poorly when faced with new, unseen data or slightly different circumstances.
In statistics and machine learning, ylisovituksen is a common problem. A model that overfits has learned the
Beyond technical fields, the concept of ylisovituksen can be applied metaphorically. For instance, a person who