learning_to_rank
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Clarification on Feature Synthesis Process for train_raw.txt and Interpretation of Label Values
Could you please provide further details on the methodology used to synthesize the features and generate the train_raw.txt file? Additionally, I would appreciate clarification regarding the meaning of the values (0, 1, 2) in the label column. Specifically, do these values represent rankings of individual candidates, a general ranking within the candidate group, or some other classification criterion?