So I did some more digging and it looks like, I’ve found something that could help me, on this forum. Will give it a shot and report back if I’m successful.
Thanks radek for your reply lesson1
in order to display: correct/incorrect labels, most correct/incorrect labels and most uncertain labels.
Although the log_preds.shape was (482,8) the probs.shape was (482,1) due to the fact that probs = np.exp(log_preds[:,1]) - because it takes only one column from log_preds - since it is a 2 class problem.
Then this variable probs is used…