basic-execution.md
In C50: C5.0 Decision Trees and Rule-Based Models

basic execution

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