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.

Computational Biology With Clicks!

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

Many Objective Feature Selection for Intrusion Detection Systems

Metabolome-based ICI outcome prediction model

Open-source reproducibility framework for explainable machine-learning prediction of HOMA-IR with nested validation and laboratory-free risk stratification.

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.

운수종사자 운전적성정밀검사 위험군 라벨 예측 연구의 재현 코드와 집계 결과