axe-C5.0 {butcher} | R Documentation |
Axing a C5.0.
Description
C5.0 objects are created from the C50
package, which provides an
interface to the C5.0 classification model. The models that can be
generated include basic tree-based models as well as rule-based models.
Usage
## S3 method for class 'C5.0'
axe_call(x, verbose = FALSE, ...)
## S3 method for class 'C5.0'
axe_ctrl(x, verbose = FALSE, ...)
## S3 method for class 'C5.0'
axe_fitted(x, verbose = FALSE, ...)
Arguments
x |
A model object. |
verbose |
Print information each time an axe method is executed.
Notes how much memory is released and what functions are
disabled. Default is |
... |
Any additional arguments related to axing. |
Value
Axed C5.0 object.
Examples
# Load libraries
library(parsnip)
library(rsample)
library(rpart)
# Load data
set.seed(1234)
split <- initial_split(kyphosis, prop = 9/10)
spine_train <- training(split)
# Create model and fit
c5_fit <- decision_tree(mode = "classification") %>%
set_engine("C5.0") %>%
fit(Kyphosis ~ ., data = spine_train)
out <- butcher(c5_fit, verbose = TRUE)
# Try another model from parsnip
c5_fit2 <- boost_tree(mode = "classification", trees = 100) %>%
set_engine("C5.0") %>%
fit(Kyphosis ~ ., data = spine_train)
out <- butcher(c5_fit2, verbose = TRUE)
# Create model object from original library
library(C50)
library(modeldata)
data(mlc_churn)
c5_fit3 <- C5.0(x = mlc_churn[, -20], y = mlc_churn$churn)
out <- butcher(c5_fit3, verbose = TRUE)
[Package butcher version 0.3.4 Index]