I am mostly interested in seeing how different algorithms perform on this 170
MB dataset :
As you can see, half of the algorithms ran on the dataset have either timed
out or hit the memory limit. Is it possible to sort classification
algorithms by speed/memory usage, and only run ones that are likely to
succeed? I suspect anything that uses weka will hit the memory limit for
I have a tiny sample of the same dataset at http://mlcomp.org/datasets/871.