xgboost Examples and Free Source Code

Waterfall Plot with TreeExplainer...

python machine-learning xgboost shap

XGBoost error - When categorical type is supplied, DMatrix parameter `enable_categorical` must be se...

python machine-learning scikit-learn xgboost one-hot-encoding

SHAP for xgboost issue for multiclass classification: "error in colnames"...

r xgboost shap

During hyperparameter tuning of a multioutput regressor, are the hyperparameters optimized separatel...

scikit-learn regression xgboost hyperparameters gridsearchcv

Recovering features names of StandardScaler().fit_transform() with sklearn...

python-3.x machine-learning scikit-learn xgboost

How do I use Validation Sets on MultiOutputRegressor for XGBRegressor?...

python validation machine-learning regression xgboost

When to know if Python parallelism is enough?...

python c multithreading multiprocessing xgboost

How to produce waterfall plot using shapely from loaded xgboost model...

python xgboost shap

Is it possible to have an Area Under the Curve = 0?...

python classification xgboost roc auc

Sklearn pass fit() parameters to xgboost in pipeline...

python scikit-learn pipeline xgboost keyword-argument

xgboost Random Forest with sparse matrix data and multinomial Y...

r sparse-matrix random-forest xgboost

Getting SHAP values for XGB model with workflowsets in Tidymodels...

r xgboost tidymodels shapley

Precision and recall for which class is calculated in GridSearchCV?...

machine-learning scikit-learn precision xgboost gridsearchcv

Why does xgboost prediction have lower AUC than evaluation of same data in eval_set?...

python xgboost

mlr3, benchmarking and nested resampling: how to extract a tuned model from a benchmark object to ca...

r xgboost feature-selection hyperparameters mlr3

Using Xgboost Model as an Objective Function for an Optimizer...

python-3.x optimization scipy xgboost gekko

Do I need to retrain an NLP model everytime because of incompatible shape after transforming?...

python machine-learning scikit-learn nlp xgboost

xgboost.cv gives TypeError: 'StratifiedKFold' object is not iterable...

python machine-learning scikit-learn xgboost grid-search

Discrepancy between best_score_ and highest mean_test_score in cv_results_ of HalvingGridSearchCV...

python scikit-learn xgboost gridsearchcv

Predicted value stay constant XGBRegressor...

python dataframe scikit-learn regression xgboost

module 'xgboost' has no attribute 'DMatrix'...

python machine-learning xgboost

What is the mathematical definition of the quantile transformation in xgboost.QuantileDMatrix?...

python machine-learning xgboost quantile quantization

XgBoost on Android...

r android machine-learning xgboost

Using XGboost_Regressor in Python results in very good training performance but poor in prediction...

python machine-learning regression xgboost

How do you load a XGBoost model saved using dump_model?...

python xgboost

changing early_stopping_rounds on xgboost doesn't effect the performance. what's wrong?...

python optimization xgboost hyperparameters

Save and load a lightGBM model in R...

r xgboost lightgbm

What are different options for objective functions available in xgboost.XGBClassifier?...

python scikit-learn xgboost

Error in names(res$trainingData) %in% as.character(form[[2]]) : argument "form" is missing...

r machine-learning xgboost r-caret hyperparameters

What does lags mean exactly in XGBoost?...

python machine-learning xgboost