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  1. How to get feature importance in xgboost? - Stack Overflow

    Jun 4, 2016 · 19 According to this post there 3 different ways to get feature importance from Xgboost: use built-in feature importance, use permutation based importance, use shap based …

  2. multioutput regression by xgboost - Stack Overflow

    Sep 16, 2016 · 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?

  3. 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 …

  4. 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 …

  5. How to install xgboost package in python (windows platform)?

    Nov 17, 2015 · File "xgboost/libpath.py", line 44, in find_lib_path 'List of candidates:\n' + ('\n'.join(dll_path))) __builtin__.XGBoostLibraryNotFound: Cannot find XGBoost Libarary in the …

  6. Custom loss function in XGBoost - Stack Overflow

    Mar 9, 2025 · I would like to create a custom loss function for the "reg:pseudohubererror" objective in XGBoost. However, I am noticing a discrepancy between the results produced by …

  7. XGBoost for multiclassification and imbalanced data

    Jun 7, 2021 · sample_weight parameter is useful for handling imbalanced data while using XGBoost for training the data. You can compute sample weights by using …

  8. XGBOOST: sample_Weights vs scale_pos_weight - Stack Overflow

    Jan 3, 2018 · The sample_weight parameter allows you to specify a different weight for each training example. The scale_pos_weight parameter lets you provide a weight for an entire …

  9. xgboost - Azure ML- XG Boost Categorical Issues - Stack Overflow

    Mar 4, 2025 · XG Boost Categorical Issues during Time Series Prediction I observed an issue where categorical variables are being converted back to strings, causing failures. The issue …

  10. What are different options for objective functions available in …

    Aug 22, 2017 · What are different options for objective functions available in xgboost.XGBClassifier? Asked 8 years, 4 months ago Modified 2 years, 3 months ago Viewed …