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

    Jun 4, 2016 · The scikit-learn like API of Xgboost is returning gain importance while get_fscore returns weight type. Permutation based importance perm_importance = …

  2. XGBoost Categorical Variables: Dummification vs encoding

    Dec 14, 2015 · XGBoost has since version 1.3.0 added experimental support for categorical features. From the docs: 1.8.7 Categorical Data. Other than users performing encoding, …

  3. Cannot import xgboost in Jupyter notebook - Stack Overflow

    Jul 1, 2017 · Running a shell escape !pip3 doesn't guarantee that it will install in the kernel you are running. Try: import sys print(sys.base_prefix)

  4. multioutput regression by xgboost - Stack Overflow

    Apr 28, 2023 · The 2.0.0 xgboost release supports multi-target trees with vector-leaf outputs. Meaning, xgboost can now build multi-output trees where the size of leaf equals the number of …

  5. 'super' object has no attribute '__sklearn_tags__'

    Dec 18, 2024 · I suspect it could be related to compatibility issues between Scikit-learn and XGBoost or Python version. I am using Python 3.12, and both Scikit-learn and XGBoost are …

  6. How to download/install xgboost for python (Jupyter notebook)

    May 20, 2017 · 192-168-1-10:xgboost yadav_sa$ cd xgboost; cp make/config.mk ./config.mk; make -j4 -bash: cd: xgboost: Not a directory c++ -std=c++11 -Wall -Wno-unknown-pragmas …

  7. XGBOOST: sample_Weights vs scale_pos_weight - Stack Overflow

    Jan 3, 2018 · @milad-shahidi's answer covers what should happen, but empirically I've found XGBoost doesn't always conform to theory: I'd advise treating the two parameters as …

  8. 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),

  9. python - XGBoost CV and best iteration - Stack Overflow

    Nov 9, 2016 · I am using XGBoost cv to find the optimal number of rounds for my model. I would be very grateful if someone could confirm (or refute), the optimal number of rounds is: estop = …

  10. 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 …

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