Machine Learning with R Cookbook - Second Edition

How to do it...

Perform the following steps to measure the prediction performance of a conditional inference tree:

1. You can use the predict function to predict the category of the testing dataset testset:

        > ctree.predict = predict(ctree.model ,testset)        > table(ctree.predict, testset$churn)        Output        ctree.predict yes no                  yes 99 15                  no 42 862  

2. Furthermore, you can use confusionMatrix from the caret package to generate the performance measurements of the prediction result:

         > confusionMatrix(table(ctree.predict, testset$churn))  

3. You can also use the treeresponse function, which will tell you the list of class probabilities:

 > tr = treeresponse(ctree.model, ...