Description Usage Arguments Value

Calculate out-of-sample model performance of naive baseline model The calculation that's being performed depends on the type of model For regression models, the mean is used as prediction For classification, a model predicting random values and a model predicting modal values are used and the best model is taken as baseline score

1 | ```
score_naive(train, test, x, y, type, metric)
``` |

`train` |
df, training data, containing variable y |

`test` |
df, test data, containing variable y |

`x` |
character, column name of predictor variable |

`y` |
character, column name of target variable |

`type` |
character, type of model |

`metric` |
character, evaluation metric being used |

numeric vector of length one, evaluation score for predictions using naive model

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