Mallivirheistä
Mallivirheistä, also known as the Malli mistake or malli error, refers to a type of error or misinterpretation that can occur when working with models, particularly in the context of machine learning, statistical modeling, or simulations. These errors arise when the model itself is flawed, an inappropriate model is chosen for the task, or the model is applied or interpreted incorrectly.
A common form of mallivirheistä is model misspecification, where the underlying assumptions of the model do
Another aspect of mallivirheistä involves data-related issues. If the data used to build or test the model
Furthermore, misinterpretation of model outputs or results can also be considered a mallivirheistä. This might involve