Hy, I got the following problem when trying to build a rpart model and using everything but LOOCV. Originally, I wanted to used k-fold partitioning, but every partitioning except LOOCV throws the following warning:
---- Warning message: In nominalTrainWorkflow(dat = trainData, info = trainInfo, method = method, : There were missing values in resampled performance measures. ----- Below are some simplified testcases which repoduce the warning on my system. Question: What does this error mean? How can I avoid it? System-Information: ----- > sessionInfo() R version 2.15.0 (2012-03-30) Platform: x86_64-pc-linux-gnu (64-bit) locale: [1] LC_CTYPE=en_GB.UTF-8 LC_NUMERIC=C [3] LC_TIME=en_GB.UTF-8 LC_COLLATE=en_GB.UTF-8 [5] LC_MONETARY=en_GB.UTF-8 LC_MESSAGES=en_GB.UTF-8 [7] LC_PAPER=C LC_NAME=C [9] LC_ADDRESS=C LC_TELEPHONE=C [11] LC_MEASUREMENT=en_GB.UTF-8 LC_IDENTIFICATION=C attached base packages: [1] stats graphics grDevices utils datasets methods base other attached packages: [1] rpart_3.1-52 caret_5.15-023 foreach_1.4.0 cluster_1.14.2 reshape_0.8.4 [6] plyr_1.7.1 lattice_0.20-6 loaded via a namespace (and not attached): [1] codetools_0.2-8 compiler_2.15.0 grid_2.15.0 iterators_1.0.6 [5] tools_2.15.0 ------- Simlified Testcase I: Throws warning --- library(caret) data(trees) formula=Volume~Girth+Height train(formula, data=trees, method='rpart') --- Simlified Testcase II: Every other CV-method also throws the warning, for example using 'cv': --- library(caret) data(trees) formula=Volume~Girth+Height tc=trainControl(method='cv') train(formula, data=trees, method='rpart', trControl=tc) --- Simlified Testcase III: The only CV-method which is working is 'LOOCV': --- library(caret) data(trees) formula=Volume~Girth+Height tc=trainControl(method='LOOCV') train(formula, data=trees, method='rpart', trControl=tc) --- Thanks! -- Dominik Bruhn mailto: domi...@dbruhn.de
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