Evaluate a model with grouped cross-validation
Usage
grouped_cv(
data,
formula,
family = stats::binomial(),
group = "participant_id",
v = 5L,
metric = c("log_loss", "brier", "accuracy"),
seed = 1L
)
Arguments
- data
Data frame.
- formula
Model formula.
- family
GLM family.
- group
Grouping columns.
- v
Number of folds.
- metric
Metric: log loss, Brier score, or accuracy.
- seed
Random seed.
Value
An `eye_grouped_cv` object.
