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...2, 2.25, 2.5), colsample_bytree = (3:5)/10, gamma = 0, subsample = 1) That approach also worked with my data. By making the corresponding adjustments, I was also successful with gbm, bstTree and extraTree models but I can't get it to work with bartMachine models. I get dozens of messages like these: bartMachine initializing with 50 trees... bartMachine vars checked... bartMachine java init... bartMachine factors created... bartMachine before preprocess... bartMachine after preprocess... 19 total features... bartMachine sigsq estimated... bartMachi...

...I did not explain myself correctly but I currently use: > >> > >> list.of.packages <- c("caretEnsemble","logicFS"," > >> RWeka","ordinalNet","xgboost","mlr","caret","MLmetrics"," > bartMachine","spikeslab","party","rqPen","monomvn"," > foba","logicFS","rPython","qrnn","randomGLM","msaenet"," > Rborist","relaxo","ordinalNet","rrf","fr...

...yself correctly but I currently >use: >> >> >> >> list.of.packages <- c("caretEnsemble","logicFS"," >> >> RWeka","ordinalNet","xgboost","mlr","caret","MLmetrics"," >> bartMachine","spikeslab","party","rqPen","monomvn"," >> foba","logicFS","rPython","qrnn","randomGLM","msaenet"," >> Rborist","relaxo","ordinalNet","rrf",...