tidyrules
converts texual rules from models to dataframes with parseable rules. Supported models are: C5
, cubist
and rpart
.
model_c5 = C50::C5.0(Species ~ ., data = iris, rules = TRUE)
summary(model_c5)
#>
#> Call:
#> C5.0.formula(formula = Species ~ ., data = iris, rules = TRUE)
#>
#>
#> C5.0 [Release 2.07 GPL Edition] Tue Dec 10 14:47:18 2019
#> -------------------------------
#>
#> Class specified by attribute `outcome'
#>
#> Read 150 cases (5 attributes) from undefined.data
#>
#> Rules:
#>
#> Rule 1: (50, lift 2.9)
#> Petal.Length <= 1.9
#> -> class setosa [0.981]
#>
#> Rule 2: (48/1, lift 2.9)
#> Petal.Length > 1.9
#> Petal.Length <= 4.9
#> Petal.Width <= 1.7
#> -> class versicolor [0.960]
#>
#> Rule 3: (46/1, lift 2.9)
#> Petal.Width > 1.7
#> -> class virginica [0.958]
#>
#> Rule 4: (46/2, lift 2.8)
#> Petal.Length > 4.9
#> -> class virginica [0.938]
#>
#> Default class: setosa
#>
#>
#> Evaluation on training data (150 cases):
#>
#> Rules
#> ----------------
#> No Errors
#>
#> 4 4( 2.7%) <<
#>
#>
#> (a) (b) (c) <-classified as
#> ---- ---- ----
#> 50 (a): class setosa
#> 47 3 (b): class versicolor
#> 1 49 (c): class virginica
#>
#>
#> Attribute usage:
#>
#> 96.00% Petal.Length
#> 62.67% Petal.Width
#>
#>
#> Time: 0.0 secs
Tidy the rules:
pander::pandoc.table(tidyRules(model_c5), split.tables = 120)
#>
#> ----------------------------------------------------------------------------------------------------
#> id LHS RHS support confidence lift rule_number trial_number
#> ---- ----------------------- ------------ --------- ------------ ------ ------------- --------------
#> 1 Petal.Length <= 1.9 setosa 50 0.9808 2.9 1 1
#>
#> 2 Petal.Length > 1.9 & versicolor 48 0.96 2.9 2 1
#> Petal.Length <= 4.9 &
#> Petal.Width <= 1.7
#>
#> 3 Petal.Width > 1.7 virginica 46 0.9583 2.9 3 1
#>
#> 4 Petal.Length > 4.9 virginica 46 0.9375 2.8 4 1
#> ----------------------------------------------------------------------------------------------------
You can install the released version of tidyrules from CRAN with:
And the development version from GitHub with: