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2004 Oct 13
1
random forest -optimising mtry
...rest with mtry =30 and ntree=2500. The result was an oob-estimate of overall error rate of zero, perfect classification. In order to explore my results, I calculated the average proximity between the classes. I got: > res op12 op13 op14 op23 op24 op34 [1,] 0.06145473 0.1369406 0.08036264 0.06171053 0.1113126 0.06732087 For me, the important meaning of these values is that from comparision of class 1 and 3, as well as class 2 and 4 result more common features than from other comparisions. I have worked yet a lot about these data,...