nested-cross-validation

Ensemble Integration: a customizable pipeline for generating multi-modal, heterogeneous ensembles

Nested Cross-Validation for Bayesian Optimized Gradient Boosting

Nested Cross-Validation for Bayesian Optimized Linear Regularization

Python package customizing nested cross validation for tabular data.

A Knn algorithm used for train a model and prediction

End-to-end MLOps pipeline predicting corporate bankruptcy from 95 financial ratios. Features nested CV, SHAP explainability, MLflow tracking, and Dockerized FastAPI deployment.

🚀 Optimize TensorFlow models with the Nested Learning Optimizer for improved performance, faster convergence, and enhanced training stability.

Reproducible metabolomics classification research: subject-separated nested CV, model comparisons and an interactive synthetic-data showcase.

Computational Biology With Clicks!

Governance-first, leakage-resistant predictive modelling for Gazepoint research workflows in Python.

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

Leakage-aware reproducible benchmark for tabular stroke-risk prediction

反復ネスト交差検証によるデータリークを防いだIris分類比較 — Leakage-safe Iris classifier comparison with repeated nested cross-validation

Predict antidepressant (SSRI) response from resting-state EEG

Reproducible cross-validation sensitivity audit of protected-feature construction in a public WT2D microbiome benchmark.

Leakage-safe nested classifier comparison on the UCI Heart Disease dataset.

Many Objective Feature Selection for Intrusion Detection Systems

Routines to perform cross-validation and nested cross-validation using data transformations

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.