Читать книгу Bioinformatics and Medical Applications - Группа авторов - Страница 28

It utilizes meta-learning calculations to discover how to join the forecasts more readily from at least two basic algorithms. A meta model is a two-level engineering with Level 0 models which are alluded to as base models and Level 1 model which are alluded to as Meta model. Meta-model depends on forecasts made by basic models on out of sample data. The yields from the base models utilized as contribution to the meta-model might be in the form of real values in the case of regression and probability values in the case of classification. A standard method for setting up a meta-model training database is with k-fold cross-validation of basic models.