Evaluation script for various methods on common benchmark datasets via 10-fold cross validation, where a training fold is randomly sampled to serve as a validation set. Hyperparameter selection is performed for the number of hidden units and the number of layers with respect to the validation set:
Run (or modify) the whole test suite via
$ python main.py