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Each row corresponds to a rule per trial_nbr
trial_nbr
# S3 method for C5.0 tidy(x, ...)
A rulelist object
C50::C5.0 model fitted with rules = TRUE
rules = TRUE
Other arguments (See details)
The output columns are: rule_nbr, trial_nbr, LHS, RHS, support, confidence, lift.
rule_nbr
LHS
RHS
support
confidence
lift
Rules per trial_nbr are sorted in this order: desc(confidence), desc(lift), desc(support).
desc(confidence)
desc(lift)
desc(support)
Optional named arguments:
laplace (flag, default: TRUE) is supported. This computes confidence with laplace correction as documented under 'Rulesets' here: C5 doc.
laplace
rulelist, tidy, augment, predict, calculate, prune, reorder
Other Core Tidy Utility: tidy(), tidy.cubist(), tidy.rpart()
tidy()
tidy.cubist()
tidy.rpart()
model_c5 = C50::C5.0(Attrition ~., data = modeldata::attrition, rules = TRUE) tidy(model_c5)
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