Predictions, Lasso Regression, Model Averaging, Spline Regression, Crossvalidation.
overfitted model. Overfitting means that a model is making a function that is too close to the data at hand, loosing external validity. Hence, it believes so much in the data it is trained on that new data will lead to spurious results. To a model, new data is like a culture shock. Lets give an