I am using rpart in classification mode and am confused about this
particular model's predictions.
> predict(fit, train[8,])
-1 1
8 0.5974089 0.4025911
> predict(fit, train[8,], type="class")
1
Levels: -1 1
So, it seems like there is a 60% change of being class -1 according th
With floating point numbers I'm seeing 'cut' putting values in the wrong
bands. An example below places 0.3 in (0.3,0.6] i.e. 0.3 > 0.3.
> x = 1:5*.1
> x
[1] 0.1 0.2 0.3 0.4 0.5
> cut(x, br=c(0,.3,.6))
[1] (0,0.3] (0,0.3] (0.3,0.6] (0.3,0.6] (0.3,0.6]
Levels: (0,0.3] (0.3,0.6]
I'm sure this i
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