Hi guys,
I have data of ~244000 rows and I do a support vector machine with polynomial kernel with pre-specified grid (loop parameters) and k=5 cross validation. I have noticed that it takes quite a lot of time to complete these analyses, as I did one with neural network as well. I tried Z-transformation, PCA and using sampling, but still I need to use the whole data set for my churn prediction, which takes ages. I have 12GB ram and it says in the resource monitor that it only uses 1.6GB while it will 'use up to 11GB'. Why doesn't it use the full memory? Does the programme have a limitation? If so, can it be lifted somehow? I would appreciate any help.