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I haven't tried changing the mtry or ntree at all ... though I suppose with only 6 variables, and tens-of-thousands of rows, we can probably do less than 500 tree's (the default?). Although tossing the forest does...
Andy, Thanks for the reply. I had no idea I could combine them back ... that actually will work pretty well. We can have several "worker threads" load up the RF's on different machines and/or cores, and then re...
Hi there, We're trying to use randomForest to do some predictions. The test-harness for our code is pretty straightforward: library ('randomForest'); data202 <- read.csv ("random.csv", header=TRUE); x<- data202[1:50000,1:6]; y<- data202[1:50000...
We have a pretty simple R forecasting problem, using randomForest. Our script is below. We have data with about 6 columns, and 625 rows to do the training on, and then we're trying to forecast 90 or so rows...
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