Data Science Desktop Survival Guide by Graham Williams
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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 0.16279070      0 1.0000000 1.0000000 0.005498188
## 2 0.02628252      1 0.8372093 0.8437225 0.005154758
## 3 0.01103406      3 0.7846443 0.7888587 0.005019313
## 4 0.01000000      4 0.7736102 0.7880541 0.005017263
## 
## Variable importance
##    humidity_3pm        sunshine        temp_3pm        rainfall 
##              78               4               4               4 
##        max_temp      rain_today wind_gust_speed    humidity_9am 
##               2               2               2               1 
##       cloud_3pm 
##               1 
## 
## Node number 1: 123722 observations,    complexity param=0.1627907
##   predicted class=No   expected loss=0.2109649  P(node) =1
##     class counts: 97621 26101
##    probabilities: 0.789 0.211 
##   left son=2 (105547 obs) right son=3 (18175 obs)
##   Primary splits:
##       humidity_3pm < 72.5    to the left,  improve=7021.018, (0 missing)
##       rainfall     < 0.45    to the left,  improve=4078.692, (0 missing)
##       rain_today   splits as  LR,          improve=4027.134, (0 missing)
##       cloud_3pm    < 6.5     to the left,  improve=2868.950, (0 missing)
##       sunshine     < 6.05    to the right, improve=2648.879, (0 missing)
##   Surrogate splits:
##       sunshine < 0.45    to the right, agree=0.861, adj=0.054, (0 split)
##       temp_3pm < 9.95    to the right, agree=0.860, adj=0.044, (0 split)
##       max_temp < 10.55   to the right, agree=0.857, adj=0.026, (0 split)
##       rainfall < 30.5    to the left,  agree=0.855, adj=0.014, (0 split)
##       temp_9am < -0.55   to the right, agree=0.854, adj=0.007, (0 split)
## 
## Node number 2: 105547 observations
##   predicted class=No   expected loss=0.1410651  P(node) =0.8530981
##     class counts: 90658 14889
##    probabilities: 0.859 0.141 
....

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