RE: [Classifier4j-devel] Next Step after Training?

[<br...@bj...>]

Right - your first two for-loops are training your
classifier to learn which messages are your
whitelist messages.  Once this is done you can
test any other message against your training
to get a "rating".  When you run the classify()
method it will return a value between 0.0 and 1.0.

0 meaning that the new message you ran classify
on is definitely a blacklist message... 1.0 meaning
its definitely a whitelist message.

At least this is the way I'm using Classifier4J..
not sure if its the absolute correct way :)

My rules are similar to SpamBayes in that
I mark anything with a 0.9 and above as a definite
match.. anything below that is considered a partial
match (I use C4J as a spam filter against email msgs).

Nick - correct me if Im wrong?  I'm no C4J expert,
but using it this way seems to work pretty well
for me.

- Brent

> -----Original Message-----
> From: Nick Lothian [mailto:nl...@es...] 
> Sent: Thursday, July 15, 2004 3:25 AM
> To: 'cla...@li...'
> Subject: RE: [Classifier4j-devel] Next Step after Training?
> 
> Yes, that looks fine.
> 
> The line "double result = 
> classifier.classify(bayMsgs[i].getSubject());" is doing the filtering.
> 
> Nick
> 
> 
> -----Original Message-----
> From: Kashif [mailto:ks...@ai...]
> Sent: Thursday, 15 July 2004 3:54 PM
> To: cla...@li...
> Subject: [Classifier4j-devel] Next Step after Training?
> Importance: Low
> 
> 
> Hi
>  
> I solved the earlier problem with the "Exception in thread "main"
> java.lang.NoClassDefFoundError:
> org/apache/commons/logging/" I had to install the latest 
> version of jdk.
>  
> Thanks Nick for your help with training the filter
>  
> I used the following code
>  
>                // For Black List Arrays
>                 for (int i=0; i<blackListArray.length; i++) {
>                    classifier.teachNonMatch(blackListArray[i]);
>                 }
>                 
>                 // For White List Arrays
>                 for (int i=0; i<whiteListArray.length; i++) {
>                    classifier.teachMatch(whiteListArray[i]);
>                 }
>                 
>                 // For BayMsgs Arrays
>                 // Applying Bayesian Filter on subject
>                 // BayMsgs is an array of Message Object.
>                 
>                 for (int i=0; i<bayMsgs.length; i++) {
>                   double result =
> classifier.classify(bayMsgs[i].getSubject());
>                 }
>                
>  
> Does this look OK to you. 
>  
> Can you please let me know what are the next steps, and what 
> should I do next to apply Bayesian filter on the subject 
> field only of bayMsgs Array, which holds the Message Object.
>  
> Regards
>  
> And Thanks for our help.
>  
>  
>  
>  
>  
> 
> 
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