10. The system of claim 9 , wherein the processor is further to: determine a first rating of the trained classification model using a first subset of the set of token attributes; identify a second subset of the set of token attributes, wherein the second subset comprises the first subset of token attributes and an additional token attribute; determine a second rating of the trained classification model using the second subset of token attributes; and select one of the first subset of token attributes or the second subset of token attributes based on the first rating and the second rating.
10. The system of claim 9 , wherein the processor is further to: determine a first rating of the trained classification model using a first subset of the set of token attributes; identify a second subset of the set of token attributes, wherein the second subset comprises the first subset of token attributes and an additional token attribute; determine a second rating of the trained classification model using the second subset of token attributes; and select one of the first subset of token attributes or the second subset of token attributes based on the first rating and the second rating. 12. The system of claim 10 , wherein the first rating is based on at least one of: a precision score, a recall score, or an F-score.