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Update broken links (#3565)

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Fix #3559
Fix #3562
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Philip Hyunsu Cho
2018-08-07 05:27:39 -07:00
committed by GitHub
parent 55caad6e49
commit 246ec92163
3 changed files with 13 additions and 6 deletions
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doc/parameter.rst
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@@ -281,7 +281,7 @@ Specify the learning task and the corresponding learning objective. The objectiv
- ``error``: Binary classification error rate. It is calculated as ``#(wrong cases)/#(all cases)``. For the predictions, the evaluation will regard the instances with prediction value larger than 0.5 as positive instances, and the others as negative instances.
- ``error@t``: a different than 0.5 binary classification threshold value could be specified by providing a numerical value through 't'.
- ``merror``: Multiclass classification error rate. It is calculated as ``#(wrong cases)/#(all cases)``.
- ``mlogloss``: `Multiclass logloss <https://www.kaggle.com/wiki/LogLoss>`_.
- ``mlogloss``: `Multiclass logloss <http://scikit-learn.org/stable/modules/generated/sklearn.metrics.log_loss.html>`_.
- ``auc``: `Area under the curve <http://en.wikipedia.org/wiki/Receiver_operating_characteristic#Area_under_curve>`_
- ``ndcg``: `Normalized Discounted Cumulative Gain <http://en.wikipedia.org/wiki/NDCG>`_
- ``map``: `Mean average precision <http://en.wikipedia.org/wiki/Mean_average_precision#Mean_average_precision>`_