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Why does my machine learning model perform poorly with batch training?
My machine learning model (xgboost regressor) seems to perform worse when training in batches (i.e epochs > 1). If I change the number of epochs to 1 (i.e. no batches), my model score is near 93%. ...
John Doe
Votes: 0
Answers: 1
importance ranking: error must be an object of class xgb.Booster
I ran a xgboost regression forecast (also tried to complete it with the xgb.Booster.complete). When trying to get the xgb.importance, I get the error massage
Error in xgboost::xgb.importance(case_xgb...
user12938856
Votes: 0
Answers: 1
R- Xgboost: Error in xgb.DMatrix unused argument
This is my first question here so I'm sorry if I'm not clear.
I was building an Xgboost model to forecast multiple time series. I've created the train and test xgb.DMatrix, also the xgb_trcontrol and ...
Mateo Quiguirí
Votes: 0
Answers: 0
Feature importance without label for time-series data with large number of columns/features
I have a sample time-series dataset (23, 14291), which is a pivot table count for 24hrs count for some users; I'm trying to filter some of the columns/features which they don't have a time-series base...
Mario
Votes: 0
Answers: 0