What is Cross-Validation? In Machine Learning, Cross-validation is a resampling method used for model evaluation to avoid testing a model on the same dataset on which it was trained. This is a common mistake, especially that a separate testing dataset is not always available. However, this usually leads to inaccurate performance measures (as the model…
O. Ciani, M. Buyse, M. Drummond, G. Rasi, E. Saad, und R. Taylor. Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research, 20 (3):
487-495(März 2017)Mesures de resultats; Surrogate endpoints.