Nothing
Code
print(c5_xy)
Output
Call:
C5.0.default(x = dat_tr[, -1], y = dat_tr$class)
Classification Tree
Number of samples: 100
Number of predictors: 15
Tree size: 8
Non-standard options: attempt to group attributes
Code
print(c5_fm)
Output
Call:
C5.0.formula(formula = class ~ ., data = dat_tr)
Classification Tree
Number of samples: 100
Number of predictors: 15
Tree size: 8
Non-standard options: attempt to group attributes
Code
C5.0Control()
Output
$subset
[1] TRUE
$bands
[1] 0
$winnow
[1] FALSE
$noGlobalPruning
[1] FALSE
$CF
[1] 0.25
$minCases
[1] 2
$fuzzyThreshold
[1] FALSE
$sample
[1] 0
$earlyStopping
[1] TRUE
$label
[1] "outcome"
$seed
[1] 974
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