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Update param_tuning.md

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Tianqi Chen 2016-08-01 10:48:00 -07:00 committed by GitHub
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doc/how_to/param_tuning.md
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@ -17,7 +17,7 @@ However, such complicated model requires more data to fit.
Most of parameters in xgboost are about bias variance tradeoff. The best model
should trade the model complexity with its predictive power carefully.
[Parameters Documentation](parameter.md) will tell you whether each parameter
[Parameters Documentation](../parameter.md) will tell you whether each parameter
will make the model more conservative or not. This can be used to help you
turn the knob between complicated model and simple model.