R: Cross-validate model.

catboost.cv {catboost} | R Documentation

## Cross-validate model.

### Description

Estimate model performance using cross-validation.

### Usage

    catboost.cv(
      pool,
      params = list(),
      fold_count = 3,
      type = "Classical",
      partition_random_seed = 0,
      shuffle = TRUE,
      stratified = FALSE,
      early_stopping_rounds = NULL
    )

### Arguments

`pool` | Data to cross-validate on
`params` | Parameters for catboost.train
`fold_count` | Folds count.
`type` | is type of cross-validation.
`partition_random_seed` | The random seed used for splitting pool into folds.
`shuffle` | Shuffle the dataset objects before splitting into folds.
`stratified` | Perform stratified sampling.
`early_stopping_rounds` | Activates Iter overfitting detector with od_wait set to early_stopping_rounds.

### Value

A data.frame of evaluation results from cross-validation.

[Package catboost version 1.0.3 Index]