[Classifier4j-devel] surprising classify score 0.01

[Mike M. <set...@ya...>]

I am enjoying experimenting with your Classifer4J 0.5,
but I ran across a result I did not expect.  I have
trained a BayesianClassifier with 22 positive examples
and 1600 negative examples.  Many of the positive
examples contain the word "http".  None of the
negative examples contain this word.  

The surprising result is that the score of a sentence
with "http" is 0.01.  Can you help me to understand
why?

Here is the sentence and the WordProbability
probabilities for each of the words in the sentence
that were in the training data:

score = 0.01 for "Mozilla/4.0 (compatible;
grub-client-1.3.7; Crawl your own stuff with
http://grub.org)"
 0.11822660098522167 Mozilla
 0.020618556701030927 4
 0.07223476297968397 0
 0.029239766081871343 compatible
 0.10619469026548672 1
 0.5454545454545454 3
 0.01 7
 0.99 http

Thanks for providing this great software.  It genrally
works well, but this one result is surprising and I
would like to understand it better.

Mike Moore

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