Rework semantics for .setSeed function of SVM

Currently setting the seed for the SVM does not have the expected result of producing the same output for each run of the algorithm, potentially due to the randomness in data partitioning.

We should then rework the way the algorithm works to either ensure we get the exact same results when the seed is set, or if that is not possible the setSeed function should be removed.

Also in the current implementation the default value of 0 for the seed means that all runs for which we don't set the seed will get the same seed which is not the intended behavior.