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Fix typo in demo/regression/README.md

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YenChenLin 2016-01-05 23:42:02 +08:00
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demo/regression/README.md
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@ -6,7 +6,7 @@ Using XGBoost for regression is very similar to using it for binary classificati
The dataset we used is the [computer hardware dataset from UCI repository](https://archive.ics.uci.edu/ml/datasets/Computer+Hardware). The demo for regression is almost the same as the [binary classification demo](../binary_classification), except a little difference in general parameter:
```
# General parameter
# this is the only difference with classification, use reg:linear to do linear classification
# this is the only difference with classification, use reg:linear to do linear regression
# when labels are in [0,1] we can also use reg:logistic
objective = reg:linear
...