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Does the calculation of the NDCG metric depend on the absolute values of label_gain, or does it only consider their relative values?
For example, given labels 0, 1, and 2, I tried calculating NDCG with the following label_gain settings:
A. label_gain = [0, 1, 1]
B. label_gain = [0, 1, 1 + 1e-10]
C. label_gain = [0, 1, 2]
I observed that the difference in metrics between A and B is significant, while the difference between B and C is minimal or nonexistent. Does this imply that during evaluation, the NDCG metric is only influenced by the relative values of label_gain?
The text was updated successfully, but these errors were encountered:
Does the calculation of the NDCG metric depend on the absolute values of label_gain, or does it only consider their relative values?
For example, given labels 0, 1, and 2, I tried calculating NDCG with the following label_gain settings:
A. label_gain = [0, 1, 1]
B. label_gain = [0, 1, 1 + 1e-10]
C. label_gain = [0, 1, 2]
I observed that the difference in metrics between A and B is significant, while the difference between B and C is minimal or nonexistent. Does this imply that during evaluation, the NDCG metric is only influenced by the relative values of label_gain?
The text was updated successfully, but these errors were encountered: