text_combined: naspythonca neil schemenauer tim peters wrote ive run experiments training set size yet wont hazard guess much enough im nearly certain 4000h2750s ive using way enough though okay believe call learn unlearn computes new probability every word database theres official way avoid first two loops eg msg spam gblearnmsg true false gbupdate_probabilities still really slow thousands messages last two loops total ham total spam learned set invariant across loop trips could break abstraction exploit probabilities actually change across loop trips associated words msg runtime trip would proportional words msg rather number words database hadnt tried figured better find one testing appreciable value looks like doesnt ill forget another area potentially fruitful study clear highestvalue indicators usually appear early msgs spam theres actual reason advertising strive get attention early example bothered tokenize first 90 msg would results get worse spammers could exploit including large mime part beginning message pratice would probably work fine sometimes ontopic message starts well rambles never remember time ten years old went fishing hole buddies guy named gordon really huge head wait maybe joe well matter recall hot day everyone tiredhuman growth hormonegirl huge breastsblah blah blah thu 5 sep 2002 154923 0700 spambayes one testing