Fig. 2
From: Artificial neural networks applied to somatosensory evoked potentials for migraine classification
a) Explained variance (%) by each component. The sum of the variance of the first four components accounts for almost 95% of the total variance. b) Number of principal components vs. accuracy. The value of the accuracy is based on the test dataset in order to evaluate the network’s robustness in terms of generalization capability