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

    Jun 4, 2016 · Furthermore, we can plot the importances with XGboost built-in function plot_importance(model, max_num_features = 15) pyplot.show() use max_num_features in …

  2. 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 …

  3. How to adjust probability threhold in XGBoost classifier when …

    Apr 10, 2019 · I have a question about xgboost classifier with sklearn API. It seems it has a parameter to tell how much probability should be returned as True, but i can't find it. Normally, …

  4. 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 …

  5. r - Calculating probabilities in XGBoost - Stack Overflow

    Oct 4, 2019 · I'm getting started with XGBoost in R, and am trying to match up the predictions from the binary:logistic model with what's generated by using a custom log loss function. I'd …

  6. Cannot import xgboost in Jupyter notebook - Stack Overflow

    Jul 1, 2017 · Within Jupyter Notebook cell, try running: import sys !{sys.executable} -m pip install xgboost This allows the package to be installed with right on Jupyter notebook.

  7. ImportError: No module named xgboost - Stack Overflow

    ImportError: No module named 'xgboost.xgbclassifier', I tried using your command, it returned this.

  8. Multiclass classification with xgboost classifier? - Stack Overflow

    Sep 18, 2019 · Multiclass classification with xgboost classifier? Asked 5 years, 10 months ago Modified 5 years ago Viewed 97k times

  9. How to get CORRECT feature importance plot in XGBOOST?

    Nov 21, 2019 · There are 3 ways to get feature importance from Xgboost: use built-in feature importance (I prefer gain type), use permutation-based feature importance use SHAP values …

  10. scikit learn - XGBoost: Early stopping on default metric, not ...

    Feb 17, 2020 · I am using XGBoost 0.90. I wish to train a XGBoost regression models, with Python, using a built-in learning objective with early stopping on a built-in evaluation metric.