Re: Merit of best subset found & Methods

Spam detection software, running on the system "ciao.gmane.io",
has identified this incoming email as possible spam.  The original
message has been attached to this so you can view it or label
similar future email.  If you have any questions, see
@@CONTACT_ADDRESS@@ for details.

Content preview:  Dear Thank you for your message I have understood the first
   part, I was able to use the correlation coefficient metric. My version of
   WEKA is 3.8.6. 

Content analysis details:   (5.1 points, 5.0 required)

 pts rule name              description
---- ---------------------- --------------------------------------------------
 2.1 DATE_IN_PAST_96_XX     Date: is 96 hours or more before Received:
                            date
 0.0 FREEMAIL_FROM          Sender email is commonly abused enduser mail
                            provider (franchesco_c7[at]hotmail.com)
 1.2 FORGED_HOTMAIL_RCVD2   hotmail.com 'From' address, but no
                            'Received:'
 0.2 HEADER_FROM_DIFFERENT_DOMAINS From and EnvelopeFrom 2nd level
                            mail domains are different
 2.4 DEAR_NOBODY            RAW: Message contains Dear but with no name
 0.0 URIBL_BLOCKED          ADMINISTRATOR NOTICE: The query to URIBL was
                            blocked.  See
                            http://wiki.apache.org/spamassassin/DnsBlocklists#dnsbl-block
                             for more information.
                            [URIs: waikato.ac.nz]
 0.1 URIBL_SBL_A            Contains URL's A record listed in the Spamhaus SBL
                            blocklist
                            [URIs: list.waikato.ac.nz]
-1.0 MAILING_LIST_MULTI     Multiple indicators imply a widely-seen list
                            manager
 0.0 FREEMAIL_FORGED_FROMDOMAIN 2nd level domains in From and
                            EnvelopeFrom freemail headers are
                            different