I want discretize my attributes according to the class
quality which is the output variable.
quality ranges from 1 to 10 in my data set. I think it'd be nice to have three
quality categories: low, med, high. I defined low as
1-3, med as
4-6 and high as
7-10. However, the distribution of those categories is as follows:
There're very few instances with low quality. What would be the best approach to deal with those values? Should I discard them altogether, divide
quality class into only 2 categories: not-high and high or pursue another approach?
EDIT: this is the dataset I'm analyzing: http://archive.ics.uci.edu/ml/datasets/Wine+Quality.