20.18 Summary of the Model

summary(model)

## Call:
## rpart(formula=form, data=ds[tr, vars], model=TRUE)
##   n= 123722 
## 
##           CP nsplit rel error    xerror        xstd
## 1 0.14525806      0 1.0000000 1.0000000 0.005511437
## 2 0.03497808      1 0.8547419 0.8543189 0.005191983
## 3 0.01000000      3 0.7847858 0.7890547 0.005031264
## 
## Variable importance
##    humidity_3pm        sunshine        temp_3pm wind_gust_speed        max_temp 
##              78               4               4               3               3 
##       cloud_3pm    humidity_9am  wind_speed_3pm  wind_speed_9am        rainfall 
##               2               1               1               1               1 
## 
## Node number 1: 123722 observations,    complexity param=0.1452581
##   predicted class=No   expected loss=0.2101647  P(node) =1
##     class counts: 97720 26002
##    probabilities: 0.790 0.210 
##   left son=2 (104365 obs) right son=3 (19357 obs)
##   Primary splits:
##       humidity_3pm < 71.5    to the left,  improve=6887.670, (0 missing)
##       rainfall     < 0.55    to the left,  improve=4079.306, (0 missing)
##       rain_today   splits as  LR,          improve=4023.390, (0 missing)
##       cloud_3pm    < 6.5     to the left,  improve=2778.256, (0 missing)
##       sunshine     < 6.05    to the right, improve=2630.088, (0 missing)
##   Surrogate splits:
##       sunshine  < 0.45    to the right, agree=0.852, adj=0.053, (0 split)
##       temp_3pm  < 10.55   to the right, agree=0.851, adj=0.050, (0 split)
##       max_temp  < 10.55   to the right, agree=0.848, adj=0.029, (0 split)
##       cloud_3pm < 7.5     to the left,  agree=0.846, adj=0.018, (0 split)
##       rainfall  < 30.3    to the left,  agree=0.846, adj=0.016, (0 split)
## 
## Node number 2: 104365 observations
##   predicted class=No   expected loss=0.1383127  P(node) =0.8435444
##     class counts: 89930 14435
##    probabilities: 0.862 0.138 
## 
## Node number 3: 19357 observations,    complexity param=0.03497808
##   predicted class=Yes  expected loss=0.4024384  P(node) =0.1564556
....

In the following pages we dissect the various components of this summary.

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