Can I use this for time series forecasting?

Absolutely. It features rolling-origin and sliding-window techniques specifically designed for time-dependent data.

How does it handle imbalanced classes?

It includes stratified splitting and resampling methods that maintain the distribution of your outcome variable across all folds.

What is the main benefit of using this skill?

It provides ready-to-use R code patterns for robust model validation, helping you avoid data leakage and overoptimistic performance estimates.

Does it support spatial data?

Yes, it includes implementations for spatial block cross-validation and clustering using the spatialsample package.

Tidy Resampling Strategies for R

Name: Tidy Resampling Strategies for R
Author: choxos

bychoxos

0•

Ciencia de Datos y ML

Implements robust data splitting and resampling methods for machine learning validation using the R rsample package.

This skill provides a comprehensive framework for model validation using the Tidymodels rsample package. It enables users to implement sophisticated resampling strategies—including cross-validation, bootstrapping, and specialized techniques for time series, grouped, and spatial data—to ensure model stability and prevent overfitting. By providing standardized implementation patterns for stratified splitting and nested resampling, it helps data scientists accurately estimate model performance and tune hyperparameters effectively within the R ecosystem.

Características Principales

01Seamless integration with Tidymodels workflow and hyperparameter tuning

02Standardized data splitting with stratified sampling for imbalanced datasets

03Multi-fold and repeated cross-validation for robust performance estimation

04Specialized resampling for time series (rolling origin) and spatial data

050 GitHub stars

06Advanced grouped and nested resampling to handle clustered data dependencies

Casos de Uso

01Validating machine learning models on small or imbalanced datasets using stratified CV

02Estimating confidence intervals for model coefficients via bootstrapping

03Evaluating forecasting models using rolling-origin time series resampling

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add choxos/tidyrmodelling resampling-strategies

For use in Claude.ai and ChatGPT

Download Skill