which we don' want to count link_count_in_code +len(link_match findall(match_str)links link_match findall(slink_count len(linkslink_count -link_count_in_code html_free_s re sub(+""tag_match sub(''code_free_s)replace("\ """link_free_s html_free_s remove links from text before counting words for anchor in anchorsif anchor lower(startswith("link_free_s link_free_s replace(anchor,''num_text_tokens html_free_s count("return num_text_tokensnum_code_lineslink_count looking at the following graphswe can notice that the number of words in post show higher variabilitytraining on the bigger feature space improves accuracy quite bitmean(scores)= stddev(scores)=