Hi,
I am trying to tune parameters for XGBoost’s regressor, and for another problem which has binary output(binary:hinge). Can somebody please point me to the parameters that I would need to tune?
For now I am trying to tune these params(for both),
- “eval_metric”
- “booster”
- “max_delta_step”
- “min_child_wt”
- “subsample”
- “rounds”
- “eta”
- “alpha”
- “lambda”
- “gamma”
- “max_depth”
- “n_estimators”
Please let me know if these are all the parameters I would need to tune or is there more that can be tuned to give me better results?
Also very importantly, the code is in Java and I would like to know if the name of the parameters are correct(eval_metric, booster, max_delta_step, min_child_wt, subsample, n_estimators, etc)?
Is there a place where I can see the parameters names for Java? I have this question since I sometimes see no effects in changing some parameters.
Thanks,
Ram