April 2017
Intermediate to advanced
532 pages
12h 39m
English
The final step is to apply the same approach to the features extracted for the decision tree model.
Scala
val splits = data_dt.randomSplit(Array(0.8, 0.2), seed = 11L) val training = splits(0).cache() val test = splits(1)
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