What would be the best way to classify a data set composed of mixed types of attributes for, say, textual and numerical? I tried the meta-learning techniques and the conversion to Boolean but they weren't very successful. I realize it's probably hard to give a concrete answer without knowing more about the data, but any feedback is appreciated.
Harvard Innovation Lab
114 Western Ave, Boston, MA 02134
Toll Free: (844) EXPERFY or