Obtain rules as a tidy tibble from a rpart model

Each row corresponds to a rule. A rule can be copied into `dplyr::filter` to filter the observations corresponding to a rule

# S3 method for rpart
tidyRules(object, ...)

Arguments

object	Fitted model object with rules
...	Other arguments (currently unused)

Value

A tibble where each row corresponds to a rule. The columns are: support, confidence, lift, LHS, RHS

Details

NOTE: For rpart rules, one should build the model without ordered factor variable. We recommend you to convert ordered factor to factor or integer class.

Optional named arguments:

• language (string, default: "r"): language where the rules are parsable. The allowed options is one among: r, python, sql

Examples

iris_rpart <- rpart::rpart(Species ~ .,data = iris)
tidyRules(iris_rpart)
#> # A tibble: 3 x 6
#>      id LHS                                   RHS       support confidence  lift
#>   <int> <chr>                                 <chr>       <int>      <dbl> <dbl>
#> 1     1 Petal.Length < 2.45                   setosa         50      0.981  2.94
#> 2     2 Petal.Length >= 2.45 & Petal.Width <… versicol…      54      0.893  2.68
#> 3     3 Petal.Length >= 2.45 & Petal.Width >… virginica      46      0.958  2.88