XGBoost is a library for constructing boosted tree models in R, Python, Java, Scala, and C++. Use this tag for issues specific to the package (i.e. input/output, installation, functionality).
I have a dataset of some 20000 training examples, on which i want to do a binary classification. The problem is …
r xgboostI build my model for prediction with XGBoost: setDT(train) setDT(test) labels <- train$Goal ts_label <…
r xgboost aucI've searched the sklearn docs for TimeSeriesSplit and the docs for cross-validation but I haven't been able to find a …
python scikit-learn xgboostI am trying out multi-class classification with xgboost and I've built it using this code, clf = xgb.XGBClassifier(max_depth=7, …
python machine-learning scikit-learn xgboostxgboost.plot_importance(model, importance_type='gain') I am not able to change size of this plot. I want to …
python python-3.x matplotlib machine-learning xgboostXGBoost uses the method of additive training in which it models the residual of the previous model. This is sequential …
xgboostI saw that some xgboost methods take a parameter num_boost_round, like this: model = xgb.cv(params, dtrain, num_…
python xgboostI recently downloaded Ubuntu 14.04 desktop version alongside Windows 10. My PC configs are: 4 GB RAM, 64 bit I installed Anaconda after downloading …
python numpy github ubuntu-14.04 xgboostI'm trying use f-score from scikit-learn as evaluation metric in xgb classifier. Here is my code: clf = xgb.XGBClassifier(max_…
python xgboost evaluation-functionI am running the xgboost model for a very sparse matrix. I am getting this error. ValueError: feature_names must …
python pandas xgboost sklearn-pandas