I have a big question regarding training deep-learning models for Motor Imagery classification.
- For training and validation, should concatenate all the data from all the individuals? I meant, for example, for the Competition IV 2a dataset, there are 9 subjects. Should we concatenate all the data and then train our network or just choose one of the participants and train over the data just from that participant?
- For the accuracy in most of the literature, is it the training accuracy or validation, which I think it would be validation, and if so, how would they define it because it varies epoch by epoch and sometimes won’t reach a threshold, so is it the average overall epoch or the last 100 epochs for training deep learning?
Thanks in advance,