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Can you please explain more on label in both *_rank.csv file and test files in the dataset file? I think you also use this column/attribute for the performance evaluation, however, I thought you should consider iid. For example, to calculate ndcg@k you compute it on label, and in my case, it returns me 1.0 in ndcg@10!
The text was updated successfully, but these errors were encountered:
Sorry for the confusion, we have uploaded the rank files as mentioned in issue #4 for your reference. We compute the scores based on the ranking scores generated by the models and the labels.
Hi all,
Can you please explain more on
label
in both*_rank.csv
file and test files in the dataset file? I think you also use this column/attribute for the performance evaluation, however, I thought you should consideriid
. For example, to calculatendcg@k
you compute it onlabel
, and in my case, it returns me1.0
inndcg@10
!The text was updated successfully, but these errors were encountered: