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that is coefficient which corresponds to the term which predicts a control tweet, is “follow”. The observation that control tweets are predicted by the absence of ASD-related terms ex- plains why a reduction in model complexity (i.e. a reduction in the number of ASD-terms considered by the classifier) does not produce a deterioration in classification performance on control tweets (rather, a small improvement can be noticed) while a major negative effect is readily observed for the ASD corpus. 

Condition-oriented classification: results and discussion To motivate our next set of experi- ments, consider a classifier which distinguishes between medical condition-related and other tweets. Let the classifier correctly classify a tweet of the former type (dependent variable value +1 ) with the probability p$_{m}$ and of the latter type with the probability p$_{n}$ (dependent variable value − 1 ). Imagine applying this classifier on our data set but interpreting its output 

