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Answers
Note however that you've picked one of the most difficult models to work with. I suggest to start with a decision tree or logistic regression to start with, get the process right and only then move to SVMs. As SVM uses a kernel (you will need to specify which kernel type you want to work with), it will need to be optimised for this kernel type, and this means playing with C and other kernel specific parameters.