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Hi Andy, Thank you for your help but it was not really a solution to my problem. Following from your iris example, if I do "iris.rf$forest$xbestsplit[1,1] <- 1.1" instead of "iris.rf$forest$xbestsplit[1...
Hmm, it seems that the only difference is the use of "as.data.frame(a)" instead of "a". Hence, the same result can be done with: a <- rbind(c(T, T, F), c(F, F, T)) a[a==F]="" as...
Hi, This may not be the best solution, but at least it's easy to see what i'm doing, assume that your data set is called "data": # remove the 4th column data1 = data[,-4] # remove the 3rd column data2...
Hi, Since I've had no replies on my previous post about my problem I am posting it again in the hope someone notice it. The problem is that the randomForest function doesn't take datasets which has instances only...
Hi Dale, Unfortunately, you didn't say in what for format your data is saved into, so I presume it's saved as a list of strings. Perhaps there is a faster/better way, but this should suffice if your...
Hi, Let me give a simple example, assume a dataset containing 5 instances with 1 variable and the class label: [x1, y]: [0.5, A] [3.2, B] [4.5, B] [1.4, C] [1.6, C] [1.9, C...
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