How to get feature importance in xgboost? - Stack Overflow
Jun 4, 2016 · How to get feature importance in xgboost? Asked 9 years, 5 months ago Modified 3 years, 11 months ago Viewed 248k times
multioutput regression by xgboost - Stack Overflow
Apr 28, 2023 · Is it possible to train a model by xgboost that has multiple continuous outputs (multi-regression)? What would be the objective of training such a model? Thanks in advance …
How to get the list of features which are actually used by XGBoost
Apr 17, 2023 · The correct approach would be to traverse XGBoost tree data structure, and collect node split indices (which correspond to column indices in your training dataset). If your …
XGBoost Categorical Variables: Dummification vs encoding
Dec 14, 2015 · "When using XGBoost we need to convert categorical variables into numeric." Not always, no. If booster=='gbtree' (the default), then XGBoost can handle categorical variables …
ImportError: No module named xgboost - Stack Overflow
ImportError: No module named 'xgboost.xgbclassifier', I tried using your command, it returned this.
XGBoost produce prediction result and probability
Apr 7, 2020 · I am probably looking right over it in the documentation, but I wanted to know if there is a way with XGBoost to generate both the prediction and probability for the results? In …
XGBoost for multiclassification and imbalanced data
Jun 7, 2021 · XGBoost for multiclassification and imbalanced data Asked 4 years, 4 months ago Modified 3 years, 2 months ago Viewed 27k times
Xgboost with Smote on imbalanced data - Stack Overflow
Feb 22, 2024 · attached is the code for xgboost on ftir data with smote and smote_weights. the results based on smote is attached as image. From the confusion matrix, i understood that …
python - Feature importance 'gain' in XGBoost - Stack Overflow
I wonder if xgboost also uses this approach using information gain or accuracy as stated in the citation above. I've tried to dig in the code of xgboost and found out this method (already cut …
'super' object has no attribute '__sklearn_tags__'
Dec 18, 2024 · 'super' object has no attribute '__sklearn_tags__'. This occurs when I invoke the fit method on the RandomizedSearchCV object. I suspect it could be related to compatibility …