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Update URL for "Multiclass logloss". (#2469)

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Yaguang 2017-06-29 23:06:09 -07:00 committed by Michaël Benesty
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doc/parameter.md
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@ -179,7 +179,7 @@ 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/MultiClassLogLoss)
- "mlogloss": [Multiclass logloss](https://www.kaggle.com/wiki/LogLoss)
- "auc": [Area under the curve](http://en.wikipedia.org/wiki/Receiver_operating_characteristic#Area_under_curve) for ranking evaluation.
- "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)