I am new to Rapid and slowly learning! I have a data-set that i obtained from a previous crawl from a car website. it comprises of attributes such as model, make, year, fuel, body shape, doors, engine size etc. so it has both letters and numbers, i want to create a modeling process that can predict the amount of doors based on other attributes. I have being trying to use K-nn and X-validation to do this, usually ending with an error such as "Needs a nominal label with 2 or more values". I have tried using set role and select attributes to output the required attributes but, and tried different methods involving using the correction matrix with no luck.
Can anybody shed some light on this for me, i really do not know what i am doing, and i most likely have the totally wrong way of going about it.