I have some data that I'd like to apply classification to:
Label Start1, End1, Start2, End2, Start3, End3 0 range 1 range 2 range 3 1 ... 2 ... 1 ... ...
SVM seems like a good approach for this particular type of data, but I'm not very confident with selecting features. The natural features are the ranges above, expressed as a start and end value, and classification seeks to find the label for particular value that falls within a range (any range). Should there be 6 features, or would it perhaps be better to use Start and Length?