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Nested cross-validation for unbiased predictions. Can be used with Scikit-Learn, XGBoost, Keras and LightGBM, or any other estimator that implements the scikit-learn interface.

Nested cross-validation for accurate confidence intervals for prediction error.

Performs nested cross-validation for scikit-learn classes using MPI for parallel computing.

A Vue 3 package based on Naive UI that provides highly customizable promised-based popup forms, with features like form advanced validation, multiple-steps, cross-field dependency, nested object / arrays, and many more !

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

Nested Cross-Validation for Bayesian Optimized Gradient Boosting

Nested cross-validation with feature selection filters

Experimenting with various implementations and methods of nested cross-validation in R and Python

This repository contains R code for nested cross-validation workflows comparing VSURF, elastic net, lasso, and constant baseline models for binary, multiclass, and continuous outcomes. It includes recipe-based preprocessing options, performance summaries, final model coefficient extraction, a dem... Read more

Numerical experiments for nested cross-validation paper