Problem with "Scikit-Learn Wrapper interface for XGBoost." .XGBRegressor

dmlc / xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

https://xgboost.readthedocs.io/en/stable/

Apache License 2.0

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Problem with "Scikit-Learn Wrapper interface for XGBoost." .XGBRegressor #10550

Closed ding1747774835 closed 2 months ago

ding1747774835 commented 3 months ago

Is it normal that these parameters are all "None"? The default values were not used when training the model, and the prediction results were greatly deviat ![Uploading question.jpg…]() ed.

trivialfis commented 3 months ago

You pasted the wrong link, could you please update the issue and be more specific?

trivialfis commented 2 months ago

Feel free to reopen if there are further information.