ELI5 Library:
ELI5 is a Python package which helps us to debug machine learning classifiers & explain their predictions.
It provides support for the following machine learning frameworks & packages:
scikit-learn, XGBoost, LightGBM, CatBoost, lightning, sklearn-crfsuitekeras
Installation:
Implementation:
ELI5 is a Python package which helps us to debug machine learning classifiers & explain their predictions.
It provides support for the following machine learning frameworks & packages:
scikit-learn, XGBoost, LightGBM, CatBoost, lightning, sklearn-crfsuitekeras
Installation:
Implementation:
- Building a sample model to find features which are more important:
- Calculating weights & observing some important features using eli5 library:
- Visualizing the important features:
- Importance of features is decreasing as we move down the top of column.
- Features showing in green indicates they are having positive impact on our prediction.
- Features showing in white indicates they are having no impact on our prediction.
- Most imp feature is var_81 here.
Great example of xgboost explainability.
ReplyDeleteI believe eli5 library is no longer maintained, a more modern approach is to use xgboost with lime for explainability.