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 generate two different classification examples with different costs:
- First, you should install and load the ROCR package:
> install.packages("ROCR")
> library(ROCR)
- Train the svm model using the training dataset with a probability equal to TRUE:
> svmfit=svm(churn~ ., data=trainset, prob=TRUE)
- Make predictions based on the trained model on the testing dataset with the probability set as TRUE:
>pred=predict(svmfit,testset[, !names(testset) %in% c("churn")], probability=TRUE)
- Obtain the probability of labels with yes:
> pred.prob = attr(pred, "probabilities")
> pred.to.roc = pred.prob[, 2]
- Use the prediction function to generate a prediction result:
> pred.rocr = prediction(pred.to.roc, ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.