[Spamassassin Wiki] Trivial Update of "HowScoresAreAssigned" by DGerman

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The following page has been changed by DGerman:
http://wiki.apache.org/spamassassin/HowScoresAreAssigned

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  = How are the scores assigned? =
  
- The scores are assigned using a neural network trained with error back propagation (["Perceptron"]).  Both systems attempt to optimise the efficiency of the rules that are run in terms of minimizing the number of false positives and false negatives. 
+ The scores are assigned using a neural network trained with error back propagation (["Perceptron"]).  Both systems attempt to optimize the efficiency of the rules that are run in terms of minimizing the number of false positives and false negatives. 
  
  A list of the rules and their assigned scores is at [http://spamassassin.apache.org/tests.html tests]. 
  
  You can help this system by providing statistics on your mail spool via NightlyMassCheck and RescoreMassCheck.
  
+  
  
+ 
- == "Confusing" scores ==;
+ == Confusing scores ==
  
  Scores for "learn" rules (example the various BAYES_?? rules) are scored using the same method. This can produce scores which seem incorrect (example BAYES_80 with a higher score than BAYES_99). This is due to the fact that rules are not related to one another, they're separate rules have separate scores. 
  
@@ -19, +21 @@

  Some DNS blacklist rules are distributed with scores of 0. These generally request or require payment are disabled by default. Feel free to enable the lookups, if you've paid for them.
  
  A score of 0 will stop a rule from being run.
+ 
  In version 2.x, the scores are assigned using a genetic algorithm (GA).