5. The method of claim 2 , further comprising: determining a first rating of the trained classification model using the first subset of token attributes; identifying a second subset of the set of token attributes, wherein a number of token attributes in the second subset of token attributes is less than a number of token attributes in the first subset of token attributes; determining a second rating of the trained classification model using the second subset of token attributes; and selecting one of the first subset of token attributes or the second subset of token attributes based on the first rating and the second rating.
5. The method of claim 2 , further comprising: determining a first rating of the trained classification model using the first subset of token attributes; identifying a second subset of the set of token attributes, wherein a number of token attributes in the second subset of token attributes is less than a number of token attributes in the first subset of token attributes; determining a second rating of the trained classification model using the second subset of token attributes; and selecting one of the first subset of token attributes or the second subset of token attributes based on the first rating and the second rating. 6. The method of claim 5 , wherein the first rating is based on at least one of: a precision score, a recall score, or an F-score.