Nested Cross-Validation for Bayesian Optimized Gradient Boosting
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Updated
Apr 7, 2020 - Python
Nested Cross-Validation for Bayesian Optimized Gradient Boosting
Ensemble Integration: a customizable pipeline for generating multi-modal, heterogeneous ensembles
Reproducible metabolomics classification research: subject-separated nested CV, model comparisons and an interactive synthetic-data showcase.
Predict antidepressant (SSRI) response from resting-state EEG
Python package customizing nested cross validation for tabular data.
Physics-informed knot decoder for short-crack growth curves (synthetic demo, M.Sc. thesis method)
Credit default prediction on the FICO HELOC data: decoding special-value missingness, nested cross-validation, penalised logistic regression vs RBF-kernel SVM, calibration and interpretation
Nested Cross-Validation for Bayesian Optimized Linear Regularization
Reproducible cross-validation sensitivity audit of protected-feature construction in a public WT2D microbiome benchmark.
Computational Biology With Clicks!
CRT responder prediction — 37-model AI benchmark (nested repeated-stratified CV, resampling robustness, SHAP). Clinical raw patient data excluded from repo.
Leakage-safe nested classifier comparison on the UCI Heart Disease dataset.
End-to-end MLOps pipeline predicting corporate bankruptcy from 95 financial ratios. Features nested CV, SHAP explainability, MLflow tracking, and Dockerized FastAPI deployment.
Governance-first, leakage-resistant predictive modelling for Gazepoint research workflows in Python.
Leakage-safe model-selection forge: proper pipelining buys a preprocessing-leakage correction, nested cross-validation buys a selection-bias correction — measured against a held-out oracle with a random-label null. Offline-first, from-scratch estimators (numpy only).
Sleep stage classification from Sleep-EDF EEG signals using a leakage-safe, subject-grouped nested cross-validation pipeline with MLflow-tracked reproducibility.
Many Objective Feature Selection for Intrusion Detection Systems
Routines to perform cross-validation and nested cross-validation using data transformations
Leakage-aware cervical biopsy prediction with nested group-aware cross-validation.
Interpretable hierarchical machine learning for small-sample prediction of surface and tribological responses in electrical discharge machining.
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