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  1. 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? Thanks in advance …

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

    Jun 4, 2016 · 20 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 …

  3. How to check if XGBoost uses the GPU - Stack Overflow

    Dec 28, 2021 · I'm writing a pytest file to check if my machine learning libraries use the GPU. For Tensorflow I can check this with tf.config.list_physical_devices(). For XGBoost I've so far …

  4. Newest 'XGBoost' Questions - Stack Overflow

    XGBoost GPU version not outperforming CPU on small dataset despite parameter tuning – suggestions needed I'm currently working on a parallel and distributed computing project …

  5. python - xgboost.fit () vs. xgboost.train () - Stack Overflow

    Jul 30, 2022 · xgboost.train() is for global configuration object right? and xgboost.fit() here xgboost is instance of some regression or classification class. And if not please point towards …

  6. 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

  7. windows - How to use xgboost in R with GPU - Stack Overflow

    Feb 3, 2024 · is there a possibility to use xgboost on windows 11 in r with gpu? I've already installed cuda and tried to install xgboost with gpu support: remotes::install_github …

  8. python - XGBoost Bad Allocation - Stack Overflow

    Oct 27, 2021 · When loading an XGBoost model and running it I get the following error: XGBoostError: bad allocation I read it might be a memory problem, I have 32Gb of RAM and …

  9. 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 …

  10. Does XGBoost need standardization or normalization?

    Apr 18, 2022 · In the link below, I confirmed that normalization is not required in XGBoost. However, in the dataset we are using now, we need to use standardization to get high …