Extracting features from EEG dataset

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Hi everyone,

Thank you for sharing these useful links.
Can you please explain what do attached figures mean?

If I have a feature vector (28793 X 713) extracted by using wavelet packet decomposition(4 decomposition level with window size = 256, window increment = 32) from dataset for one patient (23 channels X921600 samples) recorded for one hour sampled on 256 Hz, how to plot it ?

Do I have to make feature selection after extracting features ?If so what method should I go for?

Also, How to implement Y vector ? (My dataset is for 24 patients, each one has 46 recorded files for one hour (the start time and end time foe seizure is known))

Thank you for giving me your precious time answering my questions.

Kind regards,
Manda