October 2017
Beginner to intermediate
572 pages
26h 1m
English
Perform the following steps to measure performance differences between each fitted model:
> cv.values = resamples(list(glm = glm.model, svm=svm.model, rpart = rpart.model))
> summary(cv.values) Output Call: summary.resamples(object = cv.values) Models: glm, svm, rpart Number of resamples: 30 ROC Min. 1st Qu. Median Mean 3rd Qu. Max. NA's glm 0.7206 0.7847 0.8126 0.8116 0.8371 0.8877 0 svm 0.8337 0.8673 0.8946 0.8929 0.9194 0.9458 0 rpart 0.2802 0.7159 0.7413 0.6769 0.8105 0.8821 0 Sens Min. 1st Qu. Median Mean 3rd Qu. Max. NA's glm 0.08824 0.2000 0.2286 0.2194 0.2517 0.3529 0 svm 0.44120 0.5368 0.5714 0.5866 0.6424 0.7143 0 ...
Read now
Unlock full access