modellprestasjoner
Modellprestasjoner refers to the evaluation of how well a statistical model fits observed data. This concept is central to the field of statistics and machine learning, where the goal is often to build models that can accurately represent and predict phenomena. Various metrics are used to quantify model performance, depending on the type of model and the problem it addresses. For regression models, common measures include the R-squared value, which indicates the proportion of the variance in the dependent variable that is predictable from the independent variables, and the mean squared error (MSE), which quantifies the average of the squares of the errors.
In the context of classification models, performance is often assessed using metrics such as accuracy, precision,
Beyond these quantitative metrics, the interpretability and robustness of a model are also important aspects of