xgboost - 使用 'rank:pairwise' 的 XGboost 的输出是什么？

Question

我使用 XGBoost 的 python 实现。目标之一是rank:pairwise并且最小化成对损失( Documentation )。但是，它没有说明输出的范围。我看到 -10 到 10 之间的数字，但原则上可以是 -inf 到 inf 吗？

Answer 1

好问题。你可以看看kaggle competition :

Actually, in Learning to Rank field, we are trying to predict the relative score for each document to a specific query. That is, this is not a regression problem or classification problem. Hence, if a document, attached to a query, gets a negative predict score, it means and only means that it's relatively less relative to the query, when comparing to other document(s), with positive scores.