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....: RFmodel <- train(X,Y,method='rf',trControl=myCtrl,tuneLength=1) How can I save this to disk and load it later in R? How about an object of the class "resamples"? resamps <- resamples( list( RF = RFmodel, SVM = SVMmodel, KNN = KNNmodel, NN = NNmodel )) Thanks, James [[alternative HTML version deleted]]

I looked at the documentation of source() and summary(), and I could not find the reason why calling something like: > summary(resamps) from the command line, works (it prints the summary) whereas calling summary(resampls) from a file that I source with source("my_file.r") does not print anything. How can I get summary(resamps) to print when I source a file with this command?

...bootstrap samples for fitting models library(caret) print("Creating bootstrap samples") tmp <- createResample(Y,times = 25) myCtrl <- trainControl(method = "boot", index = tmp, timingSamps = 10) RFmodel <- train(X,Y,method='rf',trControl=myCtrl,tuneLength=1) NNmodel <- train(X,Y,method='nnet',trControl=myCtrl,tuneLength=3, trace = FALSE) ## GLMnet = GLMmodel, ... #Assess re-sampled (out of sample) accuracy print("Assessing re-sampled (OOB) accuracy") resamps <- resamples( list( RF = RFmodel, N...

...x = tmp, timingSamps = 2, classProbs = TRUE, summaryFunction = twoClassSummary) RFmodel <- train(X,Y,method='rf',trControl=myCtrl,tuneLength=1, metric="ROC") SVMmodel <- train(X,Y,method='svmRadial',trControl=myCtrl,tuneLength=3, metric="ROC") KNNmodel <- train(X,Y,method='knn',trControl=myCtrl,tuneLength=10, metric="ROC") NNmodel <- train(X,Y,method='nnet',trControl=myCtrl,tuneLength=3, trace = FALSE, metric="ROC") ======================================== but I am not getting good performance (my RO...