Description Usage Arguments Value Examples

View source: R/measure_importance.R

Get a data frame with various measures of importance of variables in a random forest

1 | ```
measure_importance(forest, mean_sample = "top_trees", measures = NULL)
``` |

`forest` |
A random forest produced by the function randomForest with option localImp = TRUE |

`mean_sample` |
The sample of trees on which mean minimal depth is calculated, possible values are "all_trees", "top_trees", "relevant_trees" |

`measures` |
A vector of names of importance measures to be calculated - if equal to NULL then all are calculated;
if "p_value" is to be calculated then "no_of_nodes" will be too. Suitable measures for |

A data frame with rows corresponding to variables and columns to various measures of importance of variables

1 2 | ```
forest <- randomForest::randomForest(Species ~ ., data = iris, localImp = TRUE, ntree = 300)
measure_importance(forest)
``` |

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