> Hi, > > is it correct that i need ~ 2GB RAM that it's > possible to work with the default setting > ntree=500 and a data.frame with 100.000 rows > and max. 10 columns for training and testing? >
no. You may parallelize the computations: perform 5 runs of RF with `ntree = 100' (or less) and save the resulting RF-objects into files. For prediction, calculate the prediction of each of the 5 objects and aggregate them. This requires some simple lines of code but will help to circumvent RAM restrictions. Best, Torsten > P.S. > It's possible calculate approximate the > memory demand for different settings with RF? > > Many thanks & regards, > Christian > > ______________________________________________ > [EMAIL PROTECTED] mailing list > https://www.stat.math.ethz.ch/mailman/listinfo/r-help > > ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
