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Practical examples for the R caret machine learning package

Results 36 caret-machine-learning issues
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This happened with kknn_1.2-5 and caret_6.0-58 might be in parallel and in sequential mode. Works in other test settings ``` R require(caret); require(kknn); # define x and y for regression...

bug

Calling method bag without bagcontrol results in numerous errors, better would be to have a standard bagcontrol so the function train(x, y, method = "bag") could be called in a...

enhancement

Using R2 from caret with a number of packets results in the following name space related error: ``` R > R2(p2[[1]]$value, test_y) Error in UseMethod("R2") : no applicable method for...

brnn prediction fails in caret, all other (70) regression methods work. caret_6.0-58 and brnn_0.5 ``` R > p1

bug

Somehow the confusionMatrix reports 100% accuracy, but all members belong to the setosa family. Because iris is a multiclass problem that seems wrong ~30% ~30% ~30% for setosa versicolor virginica...

bug
help wanted
question

--- The caret source: ChrisDesign https://openclipart.org/detail/4778/carrot ## ![ac-800px](https://cloud.githubusercontent.com/assets/2569565/10918958/1c3e568c-821d-11e5-8e85-31c2ee395199.png) The cubist training in parallel ![caret-cubist-train-parallel](https://cloud.githubusercontent.com/assets/2569565/10926311/ddceea6e-824a-11e5-96ad-1b64d1cc9ae4.png) --- The caret overview ## ![caret-machine-learning-overview](https://cloud.githubusercontent.com/assets/2569565/10949964/64c8f31c-82ea-11e5-9c6c-1689fd9f19e6.PNG) All caret models to web browser via DT ## ![all-caret-models-regression-classification-dt](https://cloud.githubusercontent.com/assets/2569565/11017039/a7ca00ac-8547-11e5-89a5-3b6ee2d8007b.PNG)...

rmda has issues to be loaded ``` R require(mlbench) require(caret) # load diabetes set 768 x 9 data(PimaIndiansDiabetes) dim(PimaIndiansDiabetes) # train rbf t2

bug
wontfix

hard crash, no recover ``` R require(mlbench) require(caret) # load diabetes set 768 x 9 data(PimaIndiansDiabetes) dim(PimaIndiansDiabetes) # train rbf t2

bug
wontfix

this example fully crashes the RGUI with package RSNNS RSNNS_0.4-7 caret_6.0-58 ``` R require(caret); data(cars); require(RSNNS); y

bug
wontfix