Validation curves for the (64,64) architecture of the MLP, examining alpha (L2 regularization parameter) and batch_size (number of samples to estimate the gradient) during the weight optimization of the MLP and max_iter (maximum number of epochs during training), with optimal values defined as ∼0.04, 128, and 160, respectively. The other hyperparameters are left to their default values.