October 2017
Beginner to intermediate
572 pages
26h 1m
English
book
Machine Learning with R Cookbook - Second Edition
by AshishSingh Bhatia, Yu-Wei, Chiu (David Chiu)
Content preview from Machine Learning with R Cookbook - Second Edition
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How to do it...
Perform the following steps to perform the k-fold cross-validation with the caret package:
- First, set up the control parameter to train the 10-fold cross validation in 3 repetitions:
> control = trainControl(method="repeatedcv", number=10, repeats=3)
- Then, you can train the classification model using the telecom churn data with rpart:
> model = train(churn~., data=trainset, method="rpart", preProcess="scale", trControl=control)
- Finally, you can examine the output of the generated model:
> model Ouput CART 2315 samples 16 predictor 2 classes: 'yes', 'no' Pre-processing: scaled Resampling: Cross-Validated (10 fold, repeated 3 times) Summary of sample sizes: 2084, 2083, 2082, 2084, 2083, 2084, ... Resampling results ...
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