13 skills found
oegedijk / ExplainerdashboardQuickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
parrt / Random Forest ImportancesCode to compute permutation and drop-column importances in Python scikit-learn models
ataturhan21 / Titanic Survival PredictionA comprehensive solution for the Kaggle Titanic Challenge, featuring advanced data exploration, feature engineering, model training, and explainable AI techniques. Includes Logistic Regression, RandomForest, XGBoost, and Stacked Ensembles with SHAP and permutation importance for model interpretability.
SWFSC / RfPermuteEstimate Permutation p-Values for Random Forest Importance Metrics
oegedijk / ExplainingtitanicA demonstration of the explainerdashboard package that that displays model quality, permutation importances, SHAP values and interactions, and individual trees for sklearn RandomForestClassifiers, etc
Qiuyan918 / Permutation Importance Experiment实验证明Permutation Importance的优势
shanghaizhoushus / Lightgbm Feature Importance Evaluator ZhoumathA Python package for evaluating feature importance in LightGBM models using SHAP, permutation importance, and more. Ideal for model interpretability, feature selection, and data exploration.
kingychiu / Target Permutation ImportancesA Python Package that computes Target Permutation Importances (Null Importances) of a machine learning model.
gelijergensen / PermutationImportancePython package for computing the importance of variables in a model through permutation selection
JianqiaoMao / PFFRAAn Interpretable Machine Learning technique to analyse the contribution of features in the frequency domain. This method is inspired by permutation feature importance analysis but aims to quantify and analyse the time-series predictive model's mechanism from a global perspective.
sethbilliau / FeatureImportanceCode for "Permutation Feature Importance for ML Interpretability from Scratch"
lucasplagwitz / Grouped Permutation ImportanceGrouped version of permutation importance
nestordemeure / PermutationImportanceFeature importance by the permutation method (for fastai V1)
