Final network ensemble. With cross-validated ANN training, each network has been evaluated on data not included in the training. The networks can then be ranked by performance, and only the top N for each cross-validation step will be included in the final ensemble, with N specified by the user. The final network ensemble can be downloaded to local disk, and used for predictions on new data by loading it to the NNAlign server submission page.