Andy, Does it mean that the error rate does increase as long as the aggregating number of out-of-bag cases reaches the number of all cases? or, in other words, because the number of points being predicted (right or wrong) gets larger at the first steps of the process?
If it so then it's all clear now. A few more questions. 1. What is the format of using the "classwt" parameter? Should it be something like c(0.3,0.6,0.1)? 2. Where can I find any information about rf$forest element of the result? namely about its elements like $treemap, $nodeclass etc? Thanks, Vladimir ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
