Understanding `get_combination_wise_output_matrix` when investigating a multi-label classification problem
So order here means how many possible combinations of labels you want to compare (e.g., order=1 would by how often does each label appear, order=2 would be how often any two combinations of labels appear with values like 5,5 meaning "rows that only have a label in index 5 and no other label, and where the max order should be the number of labels you have --> 23 in your case. If you set order=23 and if you had a row that only had a label in index position 4, one of our results would be a vector of 4 repeated 23 times.

I think what's weird for me is that I would expect to see the "only one label in index 4" presented as [0, 0, 0, 0, 1, 0, ,,, 0, 0] (== len 24) instead of [4, 4, 4, ... 4, 4] (== len 24).

Odd presentation for sure. Kind of like sparse matrix notation.