# Load libraries
suppressWarnings(suppressMessages(library(parsnip)))
suppressWarnings(suppressMessages(library(rsample)))
suppressWarnings(suppressMessages(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)
# Save
save(c5_fit, file = "inst/extdata/c5.rda")
# Another example
boost_fit <- boost_tree(mode = "classification", trees = 15) %>%
set_engine("C5.0") %>%
fit(Species ~ ., data = iris)
# Save
save(boost_fit, file = "inst/extdata/c5_boost.rda")
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