How to get feature importance in xgboost? - Stack Overflow
Jun 4, 2016 · How to get feature importance in xgboost? Asked 9 years, 6 months ago Modified 4 years ago Viewed 249k times
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?
XGBClassifier.fit() got an unexpected keyword argument …
Jul 5, 2024 · My code is as follows: from sklearn.model_selection import train_test_split from xgboost import XGBClassifier import pandas as pd RANDOM_STATE = 55 ## You will pass it to every …
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 …
XGBoost - Poisson distribution with varying exposure / offset
At least with the glm function in R, modeling count ~ x1 + x2 + offset(log(exposure)) with family=poisson(link='log') is equivalent to modeling I(count/exposure) ~ x1 + x2 with …
How to adjust probability threhold in XGBoost classifier when using ...
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, xgb.predict would r...
Cannot import xgboost in Jupyter notebook - Stack Overflow
Jul 1, 2017 · import sys !{sys.executable} -m pip install xgboost This allows the package to be installed with right on Jupyter notebook.
How can I implement incremental training for xgboost?
Jun 28, 2016 · 22 I created a gist of jupyter notebook to demonstrate that xgboost model can be trained incrementally. I used boston dataset to train the model. I did 3 experiments - one shot learning, …
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 off irrelevant …
SHAP Values Aren't The Same As XGBoost Model's Predictions
Apr 11, 2024 · I am trying to use SHAP's waterfall to visualize the impact of various variables on the prediction of my XGBoost model. The model takes in 13 variables about the team's salary and then …