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Fix link in binary classification demo README.md (#3918) (#3919)

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Prabakaran Kumaresshan 2018-11-18 14:05:35 +05:30 committed by Philip Hyunsu Cho
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demo/binary_classification/README.md
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@ -62,7 +62,7 @@ test:data = "agaricus.txt.test"
We use the tree booster and logistic regression objective in our setting. This indicates that we accomplish our task using classic gradient boosting regression tree(GBRT), which is a promising method for binary classification. We use the tree booster and logistic regression objective in our setting. This indicates that we accomplish our task using classic gradient boosting regression tree(GBRT), which is a promising method for binary classification.
The parameters shown in the example gives the most common ones that are needed to use xgboost. The parameters shown in the example gives the most common ones that are needed to use xgboost.
If you are interested in more parameter settings, the complete parameter settings and detailed descriptions are [here](../../doc/parameter.md). Besides putting the parameters in the configuration file, we can set them by passing them as arguments as below: If you are interested in more parameter settings, the complete parameter settings and detailed descriptions are [here](../../doc/parameter.rst). Besides putting the parameters in the configuration file, we can set them by passing them as arguments as below:
``` ```
../../xgboost mushroom.conf max_depth=6 ../../xgboost mushroom.conf max_depth=6