Ensemble Integration: a customizable pipeline for generating multi-modal, heterogeneous ensembles
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Updated
Oct 30, 2024 - Python
Ensemble Integration: a customizable pipeline for generating multi-modal, heterogeneous ensembles
Nested Cross-Validation for Bayesian Optimized Gradient Boosting
Experimenting with various implementations and methods of nested cross-validation in R and Python
Reproducible predictors for time-dependent CYP3A4 and CYP2D6 inhibition and CYP3A4-ligand structures (OpenADMET CYP Inhibition Blind Challenge): nested cross-validation without selection bias, pre-registered gates, a ledger of negative results and an audited rebuild.
NSGA-II feature selection vs matched-budget random subsets, filters and knockoffs under nested CV: the inner-CV advantage does not survive to held-out data.
Nested Cross-Validation for Bayesian Optimized Linear Regularization
Python package customizing nested cross validation for tabular data.
Using scikit-learn RandomizedSearchCV and cross_val_score for ML Nested Cross Validation
A Knn algorithm used for train a model and prediction
Internally validated 30-day mortality prediction after acute myocardial infarction using ridge logistic regression, repeated nested cross-validation, calibration, bootstrap uncertainty and decision-curve analysis.
Implementation of (Kernel) Ridge Regression predictors from scratch on Kaggle's Spotify Tracks Dataset.
Tumour vs. normal colon tissue classification from 2000-gene expression data with nested cross-validation (scikit-learn).
End-to-end MLOps pipeline predicting corporate bankruptcy from 95 financial ratios. Features nested CV, SHAP explainability, MLflow tracking, and Dockerized FastAPI deployment.
Python implementation of a nested cross-validation pipeline compatible with scikit-learn API.
🚀 Optimize TensorFlow models with the Nested Learning Optimizer for improved performance, faster convergence, and enhanced training stability.
Predicting UK residential retrofit potential from EPC open data using Random Forest, XGBoost, Logistic Regression and SVM under nested cross-validation
❤️ 🩸 Blood test classifier for infected COVID-19 patients using xgb, catboost, rf and lr
nestkit: a nested cross-validation toolkit for scikit-learn
Reproducible multiclass leaf-classification benchmark with six ML models and bilingual portfolio reports
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