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halvingrandomizedsearchcv

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Wizard-hash2 / Pipeline_workflow

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In this repo I pipeline stratified K-fold cross-validation, sequential feature scaling and dimensionality reduction via PCA, ensemble hyperparameter tuning methodologies (GridSearchCV, RandomizedSearchCV, HalvingRandomSearchCV), multi-metric performance evaluation including ROC-AUC curves, class imbalance mitigation

pca ensemble-learning class-imbalance roc-auc gridsearchcv randomizedsearchcv k-fold-cross-validation halvingrandomizedsearchcv
  • Updated Mar 10, 2026
  • Jupyter Notebook

rpcoelho17 / PatternSearch_HyperParam_Opt__V2

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scikit-learn-compatible hyperparameter search: BayesHalvingSearchCV (or HalvingBayesianSearchCV - Bayesian/GP) and PatternSearchCV (Hooke-Jeeves), with multi-fidelity data growth for faster tuning on large datasets

python machine-learning scikit-learn hyperparameter-optimization bayesian-optimization hyperparameter-tuning hyperparameter-search pattern-search scikit-learn-python model-optimizer hyperparameter-selection automl-algorithms model-optimization halvingrandomsearchcv halvingrandomizedsearchcv halvingbayesiansearchcv pattern-searchcv halvinggridsearchcv halving-gridsearchcv halving-randomsearchcv
  • Updated Aug 14, 2026
  • Jupyter Notebook

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