add speed and kneighbors as args to classify for cross-val (closes #5)

quick-and-dirty way to do cross-validation - make hyper-params
optional arguments to main classify function and loop over them. save
results and use summary function to print prediction accuracy. Looks
like initial guesses of k~10 and speed~10 work pretty well.