Rattle output

Summary of the Decision Tree model for Classification (built using 'rpart'):

n=11227 (7033 observations deleted due to missingness)

node), split, n, loss, yval, (yprob)
      * denotes terminal node

1) root 11227 6643 I'm somewhat satisfied with my job (0.019 0.36 0.11 0.098 0.41)
  2) Remote.Status=Full-time Remote,I rarely work remote,Part-time Remote 8600 5102 I'm somewhat satisfied with my job (0.015 0.39 0.1 0.085 0.41)
    4) CompRecode>=1.5 5532 3224 I'm somewhat satisfied with my job (0.015 0.39 0.088 0.087 0.42)
      8) CompRecode>=4.5 2153 1210 I love my job (0.016 0.44 0.072 0.077 0.4) *
      9) CompRecode< 4.5 3379 1927 I'm somewhat satisfied with my job (0.015 0.36 0.099 0.094 0.43) *
    5) CompRecode< 1.5 1429  856 I'm somewhat satisfied with my job (0.014 0.33 0.17 0.09 0.4) *
  3) Remote.Status=Never 2575 1514 I'm somewhat satisfied with my job (0.031 0.27 0.14 0.14 0.41)
    6) CompRecode>=2.5 954  546 I'm somewhat satisfied with my job (0.041 0.27 0.12 0.14 0.43) *
    7) CompRecode< 2.5 1098  663 I'm somewhat satisfied with my job (0.028 0.23 0.17 0.17 0.4) *

Classification tree:
rpart(formula = Job.Satisfaction ~ ., data = crs$dataset[crs$train,
    c(crs$input, crs$target)], method = "class", parms = list(split = "information"),
    control = rpart.control(usesurrogate = 0, maxsurrogate = 0))

Variables actually used in tree construction:
[1] CompRecode    Remote.Status

Root node error: 6643/11227 = 0.5917

n=11227 (7033 observations deleted due to missingness)

        CP nsplit rel error
1 0.078955      0   1.00000
2 0.045913      2   0.84209
3 0.013096      3   0.79618
4 0.010000      4   0.78308
   xerror      xstd
1 1.00000 0.0078399
2 0.99985 0.0078401
3 0.99714 0.0078448
4 0.99518 0.0078482

Time taken: 0.24 secs

Rattle timestamp: 2015-06-07 17:56:34
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