Resampling Strategies
Overview
Comprehensive guide to resampling methods for model validation using the rsample package. Covers cross-validation, bootstrapping, and specialized resampling for time series and grouped data.
Data Splitting
Basic Train/Test Split
library(rsample)
set.seed(123)
# Simple split (75% training)
split <- initial_split(data, prop = 0.75)
# Stratified split (maintain outcome proportions)
split <- initial_split(data, prop = 0.75, strata = outcome)
#
[Description truncada. Veja o README completo no GitHub.]