You are viewing a plain text version of this content. The canonical link for it is here.
Posted to sysadmins@spamassassin.apache.org by Cron Daemon <ro...@sa-vm1.apache.org> on 2019/11/07 04:15:58 UTC

Cron ~/svn/trunk/build/mkupdates/do-stable-update-with-scores force | /usr/bin/tee /usr/local/spamassassin/automc/tmp/do-stable-update-with-scores.log

+ echo ''\''Running do-nightly-rescore-example.sh ...'
+ echo ''
+ /usr/local/spamassassin/automc/svn/trunk/masses/rule-update-score-gen/do-nightly-rescore-example.sh force
'Running do-nightly-rescore-example.sh ...

Not Beginning of Week.  Running with 1 first.
/usr/local/spamassassin/automc/tmp/generate-new-scores
Thu Nov  7 02:25:25 UTC 2019
[ rsyncing logs ]
[ rsyncing logs locally ]
sending incremental file list
ham-axb-coi-bulk.r1869357.log
ham-axb-coi-bulk.r1869386.log
ham-axb-coi-bulk.r1869440.log
ham-axb-generic.r1869357.log
ham-axb-generic.r1869386.log
ham-axb-generic.r1869440.log
ham-axb-ham-misc.r1869357.log
ham-axb-ham-misc.r1869386.log
ham-axb-ham-misc.r1869440.log
ham-darxus.r1869357.log
ham-darxus.r1869386.log
ham-darxus.r1869440.log
ham-ena-week0.r1869386.log
ham-ena-week0.r1869440.log
ham-ena-week1.r1869386.log
ham-ena-week1.r1869440.log
ham-ena-week2.r1869386.log
ham-ena-week2.r1869440.log
ham-ena-week3.r1869357.log
ham-ena-week3.r1869386.log
ham-ena-week3.r1869440.log
ham-ena-week4.r1869357.log
ham-ena-week4.r1869386.log
ham-ena-week4.r1869440.log
ham-giovanni-ham.r1869357.log
ham-giovanni-ham.r1869386.log
ham-giovanni-ham.r1869440.log
ham-giovanni-spam.r1869357.log
ham-giovanni-spam.r1869386.log
ham-giovanni-spam.r1869440.log
ham-giovanni-spammy.r1869357.log
ham-giovanni-spammy.r1869386.log
ham-giovanni-spammy.r1869440.log
ham-grenier.r1869357.log
ham-grenier.r1869386.log
ham-grenier.r1869440.log
ham-hege.r1869357.log
ham-hege.r1869386.log
ham-hege.r1869440.log
ham-jarif.r1869357.log
ham-jarif.r1869386.log
ham-jarif.r1869440.log
ham-jbrooks.r1869357.log
ham-jbrooks.r1869386.log
ham-jbrooks.r1869440.log
ham-llanga.r1869357.log
ham-llanga.r1869386.log
ham-llanga.r1869440.log
ham-mmiroslaw-mails-ham.r1869357.log
ham-mmiroslaw-mails-ham.r1869386.log
ham-mmiroslaw-mails-ham.r1869440.log
ham-mmiroslaw-mails-spam.r1869357.log
ham-mmiroslaw-mails-spam.r1869386.log
ham-mmiroslaw-mails-spam.r1869440.log
ham-net-axb-coi-bulk.r1869287.log
ham-net-axb-generic.r1869287.log
ham-net-axb-ham-misc.r1869287.log
ham-net-darxus.r1869287.log
ham-net-ena-week3.r1869287.log
ham-net-ena-week4.r1869287.log
ham-net-grenier.r1869287.log
ham-net-hege.r1869287.log
ham-net-jarif.r1869287.log
ham-net-jbrooks.r1869287.log
ham-net-llanga.r1869287.log
ham-net-mmiroslaw-mails-ham.r1869287.log
ham-net-mmiroslaw-mails-spam.r1869287.log
ham-net-npiazzi.r1869287.log
ham-net-pds.r1869287.log
ham-net-sihde.r1869287.log
ham-net-spamsponge.r1869287.log
ham-net-thendrikx.r1869287.log
ham-npiazzi.r1869357.log
ham-npiazzi.r1869386.log
ham-npiazzi.r1869440.log
ham-pds.r1869357.log
ham-pds.r1869386.log
ham-pds.r1869440.log
ham-sihde.r1869357.log
ham-sihde.r1869386.log
ham-sihde.r1869440.log
ham-spamsponge.r1869357.log
ham-spamsponge.r1869386.log
ham-spamsponge.r1869440.log
ham-thendrikx.r1869357.log
ham-thendrikx.r1869386.log
ham-thendrikx.r1869440.log
spam-axb-coi-bulk.r1869357.log
spam-axb-coi-bulk.r1869386.log
spam-axb-coi-bulk.r1869440.log
spam-axb-generic.r1869357.log
spam-axb-generic.r1869386.log
spam-axb-generic.r1869440.log
spam-axb-ham-misc.r1869357.log
spam-axb-ham-misc.r1869386.log
spam-axb-ham-misc.r1869440.log
spam-darxus.r1869357.log
spam-darxus.r1869386.log
spam-darxus.r1869440.log
spam-ena-week0.r1869386.log
spam-ena-week0.r1869440.log
spam-ena-week1.r1869386.log
spam-ena-week1.r1869440.log
spam-ena-week2.r1869386.log
spam-ena-week2.r1869440.log
spam-ena-week3.r1869357.log
spam-ena-week3.r1869386.log
spam-ena-week3.r1869440.log
spam-ena-week4.r1869357.log
spam-ena-week4.r1869386.log
spam-ena-week4.r1869440.log
spam-giovanni-ham.r1869357.log
spam-giovanni-ham.r1869386.log
spam-giovanni-ham.r1869440.log
spam-giovanni-spam.r1869357.log
spam-giovanni-spam.r1869386.log
spam-giovanni-spam.r1869440.log
spam-giovanni-spammy.r1869357.log
spam-giovanni-spammy.r1869386.log
spam-giovanni-spammy.r1869440.log
spam-grenier.r1869357.log
spam-grenier.r1869386.log
spam-grenier.r1869440.log
spam-hege.r1869357.log
spam-hege.r1869386.log
spam-hege.r1869440.log
spam-jarif.r1869357.log
spam-jarif.r1869386.log
spam-jarif.r1869440.log
spam-jbrooks.r1869357.log
spam-jbrooks.r1869386.log
spam-jbrooks.r1869440.log
spam-llanga.r1869357.log
spam-llanga.r1869386.log
spam-llanga.r1869440.log
spam-mmiroslaw-mails-ham.r1869357.log
spam-mmiroslaw-mails-ham.r1869386.log
spam-mmiroslaw-mails-ham.r1869440.log
spam-mmiroslaw-mails-spam.r1869357.log
spam-mmiroslaw-mails-spam.r1869386.log
spam-mmiroslaw-mails-spam.r1869440.log
spam-net-axb-coi-bulk.r1869287.log
spam-net-axb-generic.r1869287.log
spam-net-axb-ham-misc.r1869287.log
spam-net-darxus.r1869287.log
spam-net-ena-week3.r1869287.log
spam-net-ena-week4.r1869287.log
spam-net-grenier.r1869287.log
spam-net-hege.r1869287.log
spam-net-jarif.r1869287.log
spam-net-jbrooks.r1869287.log
spam-net-llanga.r1869287.log
spam-net-mmiroslaw-mails-ham.r1869287.log
spam-net-mmiroslaw-mails-spam.r1869287.log
spam-net-npiazzi.r1869287.log
spam-net-pds.r1869287.log
spam-net-sihde.r1869287.log
spam-net-spamsponge.r1869287.log
spam-net-thendrikx.r1869287.log
spam-npiazzi.r1869357.log
spam-npiazzi.r1869386.log
spam-npiazzi.r1869440.log
spam-pds.r1869357.log
spam-pds.r1869386.log
spam-pds.r1869440.log
spam-sihde.r1869357.log
spam-sihde.r1869386.log
spam-sihde.r1869440.log
spam-spamsponge.r1869357.log
spam-spamsponge.r1869386.log
spam-spamsponge.r1869440.log
spam-thendrikx.r1869357.log
spam-thendrikx.r1869386.log
spam-thendrikx.r1869440.log

sent 35,367,159,423 bytes  received 3,322 bytes  27,132,460.87 bytes/sec
total size is 35,358,514,970  speedup is 1.00
Thu Nov  7 02:47:08 UTC 2019
[ selecting log files to use for scoreset 1 ]
Linked spam-net-axb-ham-misc.r1869287.log to corpus/usable-corpus-set1/spam-net-axb-ham-misc.r1869287.log
Linked ham-net-npiazzi.r1869287.log to corpus/usable-corpus-set1/ham-net-npiazzi.r1869287.log
Linked spam-net-hege.r1869287.log to corpus/usable-corpus-set1/spam-net-hege.r1869287.log
Linked ham-net-axb-ham-misc.r1869287.log to corpus/usable-corpus-set1/ham-net-axb-ham-misc.r1869287.log
Linked spam-net-thendrikx.r1869287.log to corpus/usable-corpus-set1/spam-net-thendrikx.r1869287.log
Linked ham-net-ena-week3.r1869287.log to corpus/usable-corpus-set1/ham-net-ena-week3.r1869287.log
Linked ham-net-pds.r1869287.log to corpus/usable-corpus-set1/ham-net-pds.r1869287.log
Linked ham-net-jarif.r1869287.log to corpus/usable-corpus-set1/ham-net-jarif.r1869287.log
Linked spam-net-llanga.r1869287.log to corpus/usable-corpus-set1/spam-net-llanga.r1869287.log
Linked ham-net-mmiroslaw-mails-ham.r1869287.log to corpus/usable-corpus-set1/ham-net-mmiroslaw-mails-ham.r1869287.log
Linked ham-net-mmiroslaw-mails-spam.r1869287.log to corpus/usable-corpus-set1/ham-net-mmiroslaw-mails-spam.r1869287.log
Linked spam-net-npiazzi.r1869287.log to corpus/usable-corpus-set1/spam-net-npiazzi.r1869287.log
Linked spam-net-grenier.r1869287.log to corpus/usable-corpus-set1/spam-net-grenier.r1869287.log
Linked spam-net-ena-week3.r1869287.log to corpus/usable-corpus-set1/spam-net-ena-week3.r1869287.log
Linked ham-net-llanga.r1869287.log to corpus/usable-corpus-set1/ham-net-llanga.r1869287.log
Linked ham-net-darxus.r1869287.log to corpus/usable-corpus-set1/ham-net-darxus.r1869287.log
Linked ham-net-axb-generic.r1869287.log to corpus/usable-corpus-set1/ham-net-axb-generic.r1869287.log
Linked spam-net-sihde.r1869287.log to corpus/usable-corpus-set1/spam-net-sihde.r1869287.log
Linked ham-net-axb-coi-bulk.r1869287.log to corpus/usable-corpus-set1/ham-net-axb-coi-bulk.r1869287.log
Linked spam-net-ena-week4.r1869287.log to corpus/usable-corpus-set1/spam-net-ena-week4.r1869287.log
Linked spam-net-mmiroslaw-mails-ham.r1869287.log to corpus/usable-corpus-set1/spam-net-mmiroslaw-mails-ham.r1869287.log
Linked ham-net-sihde.r1869287.log to corpus/usable-corpus-set1/ham-net-sihde.r1869287.log
Linked ham-net-grenier.r1869287.log to corpus/usable-corpus-set1/ham-net-grenier.r1869287.log
Linked ham-net-hege.r1869287.log to corpus/usable-corpus-set1/ham-net-hege.r1869287.log
Linked ham-net-jbrooks.r1869287.log to corpus/usable-corpus-set1/ham-net-jbrooks.r1869287.log
Linked ham-net-ena-week4.r1869287.log to corpus/usable-corpus-set1/ham-net-ena-week4.r1869287.log
Linked ham-net-spamsponge.r1869287.log to corpus/usable-corpus-set1/ham-net-spamsponge.r1869287.log
Linked spam-net-pds.r1869287.log to corpus/usable-corpus-set1/spam-net-pds.r1869287.log
Linked spam-net-spamsponge.r1869287.log to corpus/usable-corpus-set1/spam-net-spamsponge.r1869287.log
Linked spam-net-mmiroslaw-mails-spam.r1869287.log to corpus/usable-corpus-set1/spam-net-mmiroslaw-mails-spam.r1869287.log
Linked spam-net-jbrooks.r1869287.log to corpus/usable-corpus-set1/spam-net-jbrooks.r1869287.log
Linked ham-net-thendrikx.r1869287.log to corpus/usable-corpus-set1/ham-net-thendrikx.r1869287.log
Linked spam-net-axb-generic.r1869287.log to corpus/usable-corpus-set1/spam-net-axb-generic.r1869287.log
Linked spam-net-axb-coi-bulk.r1869287.log to corpus/usable-corpus-set1/spam-net-axb-coi-bulk.r1869287.log
Linked spam-net-darxus.r1869287.log to corpus/usable-corpus-set1/spam-net-darxus.r1869287.log
Linked spam-net-jarif.r1869287.log to corpus/usable-corpus-set1/spam-net-jarif.r1869287.log

Majority SVN revision found: 1869287

Checking corpus/usable-corpus-set1/spam-net-axb-ham-misc.r1869287.log for SVN 1869287...
# SVN revision: 1869287
Checking corpus/usable-corpus-set1/ham-net-npiazzi.r1869287.log for SVN 1869287...
# SVN revision: 1869287
Checking corpus/usable-corpus-set1/spam-net-hege.r1869287.log for SVN 1869287...
# SVN revision: 1869287
Checking corpus/usable-corpus-set1/ham-net-axb-ham-misc.r1869287.log for SVN 1869287...
# SVN revision: 1869287
Checking corpus/usable-corpus-set1/spam-net-thendrikx.r1869287.log for SVN 1869287...
# SVN revision: 1869287
Checking corpus/usable-corpus-set1/ham-net-ena-week3.r1869287.log for SVN 1869287...
# SVN revision: 1869287
Checking corpus/usable-corpus-set1/ham-net-pds.r1869287.log for SVN 1869287...
# SVN revision: 1869287
Checking corpus/usable-corpus-set1/ham-net-jarif.r1869287.log for SVN 1869287...
# SVN revision: 1869287
Checking corpus/usable-corpus-set1/spam-net-llanga.r1869287.log for SVN 1869287...
# SVN revision: 1869287
Checking corpus/usable-corpus-set1/ham-net-mmiroslaw-mails-ham.r1869287.log for SVN 1869287...
# SVN revision: 1869287
Checking corpus/usable-corpus-set1/ham-net-mmiroslaw-mails-spam.r1869287.log for SVN 1869287...
# SVN revision: 1869287
Checking corpus/usable-corpus-set1/spam-net-npiazzi.r1869287.log for SVN 1869287...
# SVN revision: 1869287
Checking corpus/usable-corpus-set1/spam-net-grenier.r1869287.log for SVN 1869287...
# SVN revision: 1869287
Checking corpus/usable-corpus-set1/spam-net-ena-week3.r1869287.log for SVN 1869287...
# SVN revision: 1869287
Checking corpus/usable-corpus-set1/ham-net-llanga.r1869287.log for SVN 1869287...
# SVN revision: 1869287
Checking corpus/usable-corpus-set1/ham-net-darxus.r1869287.log for SVN 1869287...
# SVN revision: 1869287
Checking corpus/usable-corpus-set1/ham-net-axb-generic.r1869287.log for SVN 1869287...
# SVN revision: 1869287
Checking corpus/usable-corpus-set1/spam-net-sihde.r1869287.log for SVN 1869287...
# SVN revision: 1869287
Checking corpus/usable-corpus-set1/ham-net-axb-coi-bulk.r1869287.log for SVN 1869287...
# SVN revision: 1869287
Checking corpus/usable-corpus-set1/spam-net-ena-week4.r1869287.log for SVN 1869287...
# SVN revision: 1869287
Checking corpus/usable-corpus-set1/spam-net-mmiroslaw-mails-ham.r1869287.log for SVN 1869287...
# SVN revision: 1869287
Checking corpus/usable-corpus-set1/ham-net-sihde.r1869287.log for SVN 1869287...
# SVN revision: 1869287
Checking corpus/usable-corpus-set1/ham-net-grenier.r1869287.log for SVN 1869287...
# SVN revision: 1869287
Checking corpus/usable-corpus-set1/ham-net-hege.r1869287.log for SVN 1869287...
# SVN revision: 1869287
Checking corpus/usable-corpus-set1/ham-net-jbrooks.r1869287.log for SVN 1869287...
# SVN revision: 1869287
Checking corpus/usable-corpus-set1/ham-net-ena-week4.r1869287.log for SVN 1869287...
# SVN revision: 1869287
Checking corpus/usable-corpus-set1/ham-net-spamsponge.r1869287.log for SVN 1869287...
# SVN revision: 1869287
Checking corpus/usable-corpus-set1/spam-net-pds.r1869287.log for SVN 1869287...
# SVN revision: 1869287
Checking corpus/usable-corpus-set1/spam-net-spamsponge.r1869287.log for SVN 1869287...
# SVN revision: 1869287
Checking corpus/usable-corpus-set1/spam-net-mmiroslaw-mails-spam.r1869287.log for SVN 1869287...
# SVN revision: 1869287
Checking corpus/usable-corpus-set1/spam-net-jbrooks.r1869287.log for SVN 1869287...
# SVN revision: 1869287
Checking corpus/usable-corpus-set1/ham-net-thendrikx.r1869287.log for SVN 1869287...
# SVN revision: 1869287
Checking corpus/usable-corpus-set1/spam-net-axb-generic.r1869287.log for SVN 1869287...
# SVN revision: 1869287
Checking corpus/usable-corpus-set1/spam-net-axb-coi-bulk.r1869287.log for SVN 1869287...
# SVN revision: 1869287
Checking corpus/usable-corpus-set1/spam-net-darxus.r1869287.log for SVN 1869287...
# SVN revision: 1869287
Checking corpus/usable-corpus-set1/spam-net-jarif.r1869287.log for SVN 1869287...
# SVN revision: 1869287
 HAM CONTRIBUTORS FOUND: 18 (required 8)
SPAM CONTRIBUTORS FOUND: 18 (required 8)
Thu Nov  7 02:47:10 UTC 2019
[ checking out code from svn repository ]
+ svn co -r 1869287 http://svn.apache.org/repos/asf/spamassassin/trunk trunk-new-rules-set1
A    trunk-new-rules-set1/rules
A    trunk-new-rules-set1/rules/user_prefs.template
A    trunk-new-rules-set1/rules/active.list
A    trunk-new-rules-set1/rules/20_uri_tests.cf
A    trunk-new-rules-set1/rules/25_razor2.cf
A    trunk-new-rules-set1/rules/25_uribl.cf
A    trunk-new-rules-set1/rules/20_freemail_mailcom_domains.cf
A    trunk-new-rules-set1/rules/local.cf
A    trunk-new-rules-set1/rules/20_html_tests.cf
A    trunk-new-rules-set1/rules/25_asn.cf
A    trunk-new-rules-set1/rules/20_mailspike.cf
A    trunk-new-rules-set1/rules/20_meta_tests.cf
A    trunk-new-rules-set1/rules/20_dnsbl_tests.cf
A    trunk-new-rules-set1/rules/25_dnswl.cf
A    trunk-new-rules-set1/rules/25_pyzor.cf
A    trunk-new-rules-set1/rules/25_spf.cf
A    trunk-new-rules-set1/rules/60_adsp_override_dkim.cf
A    trunk-new-rules-set1/rules/20_phrases.cf
A    trunk-new-rules-set1/rules/60_txrep.cf
A    trunk-new-rules-set1/rules/50_scores.cf
A    trunk-new-rules-set1/rules/20_head_tests.cf
A    trunk-new-rules-set1/rules/20_pdfinfo.cf
A    trunk-new-rules-set1/rules/60_awl.cf
A    trunk-new-rules-set1/rules/10_hasbase.cf
A    trunk-new-rules-set1/rules/v340.pre
A    trunk-new-rules-set1/rules/20_advance_fee.cf
A    trunk-new-rules-set1/rules/20_freemail_domains.cf
A    trunk-new-rules-set1/rules/25_dcc.cf
A    trunk-new-rules-set1/rules/20_body_tests.cf
A    trunk-new-rules-set1/rules/20_ratware.cf
A    trunk-new-rules-set1/rules/20_drugs.cf
A    trunk-new-rules-set1/rules/20_freemail.cf
A    trunk-new-rules-set1/rules/20_vbounce.cf
A    trunk-new-rules-set1/rules/60_whitelist_dkim.cf
A    trunk-new-rules-set1/rules/60_whitelist_spf.cf
A    trunk-new-rules-set1/rules/60_whitelist.cf
A    trunk-new-rules-set1/rules/v342.pre
A    trunk-new-rules-set1/rules/v343.pre
A    trunk-new-rules-set1/rules/20_aux_tlds.cf
A    trunk-new-rules-set1/rulesrc
A    trunk-new-rules-set1/rulesrc/scores
A    trunk-new-rules-set1/rules/STATISTICS-set1.txt
A    trunk-new-rules-set1/rules/v330.pre
A    trunk-new-rules-set1/rules/STATISTICS-set2.txt
A    trunk-new-rules-set1/rules/v312.pre
A    trunk-new-rules-set1/rulesrc/sandbox
A    trunk-new-rules-set1/rulesrc/sandbox/pds
A    trunk-new-rules-set1/rules/30_text_de.cf
A    trunk-new-rules-set1/rules/30_text_pt_br.cf
A    trunk-new-rules-set1/rules/init.pre
A    trunk-new-rules-set1/rules/30_text_fr.cf
A    trunk-new-rules-set1/rules/30_text_nl.cf
A    trunk-new-rules-set1/rules/30_text_pl.cf
A    trunk-new-rules-set1/rules/25_replace.cf
A    trunk-new-rules-set1/rules/73_sandbox_manual_scores.cf
A    trunk-new-rules-set1/rules/10_default_prefs.cf
A    trunk-new-rules-set1/rules/60_whitelist_auth.cf
A    trunk-new-rules-set1/rules/20_dynrdns.cf
A    trunk-new-rules-set1/rules/23_bayes.cf
A    trunk-new-rules-set1/rules/25_dkim.cf
A    trunk-new-rules-set1/rules/60_shortcircuit.cf
A    trunk-new-rules-set1/rules/20_fake_helo_tests.cf
A    trunk-new-rules-set1/rules/20_imageinfo.cf
A    trunk-new-rules-set1/rules/v341.pre
A    trunk-new-rules-set1/rules/regression_tests.cf
A    trunk-new-rules-set1/rules/STATISTICS-set0.txt
A    trunk-new-rules-set1/rulesrc/sandbox/gbechis
A    trunk-new-rules-set1/rulesrc/sandbox/jhardin
A    trunk-new-rules-set1/rules/v310.pre
A    trunk-new-rules-set1/rules/sa-update-pubkey.txt
A    trunk-new-rules-set1/rules/20_porn.cf
A    trunk-new-rules-set1/rules/svn_only.pre
A    trunk-new-rules-set1/rules/30_text_it.cf
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A    trunk-new-rules-set1/TRADEMARK
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+ svn co http://svn.apache.org/repos/asf/spamassassin/tags/spamassassin_release_3_3_0/rules trunk-new-rules-set1/rules-base
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A    trunk-new-rules-set1/rules-base/60_whitelist.cf
A    trunk-new-rules-set1/rules-base/20_head_tests.cf
A    trunk-new-rules-set1/rules-base/25_dcc.cf
A    trunk-new-rules-set1/rules-base/v312.pre
A    trunk-new-rules-set1/rules-base/sa-update-pubkey.txt
A    trunk-new-rules-set1/rules-base/30_text_pt_br.cf
A    trunk-new-rules-set1/rules-base/20_dynrdns.cf
A    trunk-new-rules-set1/rules-base/25_razor2.cf
A    trunk-new-rules-set1/rules-base/20_uri_tests.cf
A    trunk-new-rules-set1/rules-base/50_scores.cf
A    trunk-new-rules-set1/rules-base/23_bayes.cf
A    trunk-new-rules-set1/rules-base/20_meta_tests.cf
A    trunk-new-rules-set1/rules-base/init.pre
A    trunk-new-rules-set1/rules-base/20_freemail_domains.cf
A    trunk-new-rules-set1/rules-base/60_whitelist_dkim.cf
A    trunk-new-rules-set1/rules-base/20_imageinfo.cf
A    trunk-new-rules-set1/rules-base/60_whitelist_spf.cf
A    trunk-new-rules-set1/rules-base/10_default_prefs.cf
A    trunk-new-rules-set1/rules-base/20_fake_helo_tests.cf
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A    trunk-new-rules-set1/rules-base/30_text_de.cf
A    trunk-new-rules-set1/rules-base/20_advance_fee.cf
A    trunk-new-rules-set1/rules-base/regression_tests.cf
A    trunk-new-rules-set1/rules-base/svn_only.pre
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A    trunk-new-rules-set1/rules-base/25_accessdb.cf
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A    trunk-new-rules-set1/rules-base/25_hashcash.cf
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A    trunk-new-rules-set1/rules-base/20_dnsbl_tests.cf
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A    trunk-new-rules-set1/rules-base/STATISTICS-set0.txt
A    trunk-new-rules-set1/rules-base/user_prefs.template
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A    trunk-new-rules-set1/rules-base/STATISTICS-set3.txt
A    trunk-new-rules-set1/rules-base/25_uribl.cf
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A    trunk-new-rules-set1/rules-base/20_freemail.cf
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A    trunk-new-rules-set1/rules-base/25_replace.cf
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A    trunk-new-rules-set1/rules-base/languages
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A    trunk-new-rules-set1/rules-base/20_ratware.cf
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A    trunk-new-rules-set1/rules-base/60_adsp_override_dkim.cf
A    trunk-new-rules-set1/rules-base/v310.pre
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A    trunk-new-rules-set1/rules-base/20_phrases.cf
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A    trunk-new-rules-set1/rules-base/25_textcat.cf
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+ svn co http://svn.apache.org/repos/asf/spamassassin/trunk/rules trunk-new-rules-set1/rules-current
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A    trunk-new-rules-set1/rules-current/active.list
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A    trunk-new-rules-set1/rules-current/20_freemail_mailcom_domains.cf
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A    trunk-new-rules-set1/rules-current/25_asn.cf
A    trunk-new-rules-set1/rules-current/20_meta_tests.cf
A    trunk-new-rules-set1/rules-current/25_uribl.cf
A    trunk-new-rules-set1/rules-current/20_pdfinfo.cf
A    trunk-new-rules-set1/rules-current/25_dnswl.cf
A    trunk-new-rules-set1/rules-current/25_pyzor.cf
A    trunk-new-rules-set1/rules-current/25_spf.cf
A    trunk-new-rules-set1/rules-current/60_adsp_override_dkim.cf
A    trunk-new-rules-set1/rules-current/20_phrases.cf
A    trunk-new-rules-set1/rules-current/60_txrep.cf
A    trunk-new-rules-set1/rules-current/20_dnsbl_tests.cf
A    trunk-new-rules-set1/rules-current/50_scores.cf
A    trunk-new-rules-set1/rules-current/20_head_tests.cf
A    trunk-new-rules-set1/rules-current/10_hasbase.cf
A    trunk-new-rules-set1/rules-current/regression_tests.cf
A    trunk-new-rules-set1/rules-current/60_awl.cf
A    trunk-new-rules-set1/rules-current/20_advance_fee.cf
A    trunk-new-rules-set1/rules-current/STATISTICS-set0.txt
A    trunk-new-rules-set1/rules-current/20_freemail_domains.cf
A    trunk-new-rules-set1/rules-current/25_dcc.cf
A    trunk-new-rules-set1/rules-current/20_body_tests.cf
A    trunk-new-rules-set1/rules-current/20_ratware.cf
A    trunk-new-rules-set1/rules-current/20_drugs.cf
A    trunk-new-rules-set1/rules-current/20_freemail.cf
A    trunk-new-rules-set1/rules-current/v330.pre
A    trunk-new-rules-set1/rules-current/20_vbounce.cf
A    trunk-new-rules-set1/rules-current/60_whitelist_dkim.cf
A    trunk-new-rules-set1/rules-current/60_whitelist_spf.cf
A    trunk-new-rules-set1/rules-current/60_whitelist.cf
A    trunk-new-rules-set1/rules-current/v342.pre
A    trunk-new-rules-set1/rules-current/sa-update-pubkey.txt
A    trunk-new-rules-set1/rules-current/STATISTICS-set3.txt
A    trunk-new-rules-set1/rules-current/20_compensate.cf
A    trunk-new-rules-set1/rules-current/20_aux_tlds.cf
A    trunk-new-rules-set1/rules-current/v312.pre
A    trunk-new-rules-set1/rules-current/20_porn.cf
A    trunk-new-rules-set1/rules-current/30_text_de.cf
A    trunk-new-rules-set1/rules-current/30_text_pt_br.cf
A    trunk-new-rules-set1/rules-current/init.pre
A    trunk-new-rules-set1/rules-current/30_text_fr.cf
A    trunk-new-rules-set1/rules-current/30_text_nl.cf
A    trunk-new-rules-set1/rules-current/30_text_pl.cf
A    trunk-new-rules-set1/rules-current/25_replace.cf
A    trunk-new-rules-set1/rules-current/73_sandbox_manual_scores.cf
A    trunk-new-rules-set1/rules-current/10_default_prefs.cf
A    trunk-new-rules-set1/rules-current/60_whitelist_auth.cf
A    trunk-new-rules-set1/rules-current/20_dynrdns.cf
A    trunk-new-rules-set1/rules-current/23_bayes.cf
A    trunk-new-rules-set1/rules-current/25_dkim.cf
A    trunk-new-rules-set1/rules-current/60_shortcircuit.cf
A    trunk-new-rules-set1/rules-current/20_fake_helo_tests.cf
A    trunk-new-rules-set1/rules-current/20_imageinfo.cf
A    trunk-new-rules-set1/rules-current/v341.pre
A    trunk-new-rules-set1/rules-current/v340.pre
A    trunk-new-rules-set1/rules-current/STATISTICS-set2.txt
A    trunk-new-rules-set1/rules-current/20_net_tests.cf
A    trunk-new-rules-set1/rules-current/25_accessdb.cf
A    trunk-new-rules-set1/rules-current/25_textcat.cf
A    trunk-new-rules-set1/rules-current/svn_only.pre
A    trunk-new-rules-set1/rules-current/60_whitelist_subject.cf
A    trunk-new-rules-set1/rules-current/STATISTICS-set1.txt
A    trunk-new-rules-set1/rules-current/v310.pre
A    trunk-new-rules-set1/rules-current/v320.pre
A    trunk-new-rules-set1/rules-current/30_text_it.cf
A    trunk-new-rules-set1/rules-current/25_antivirus.cf
A    trunk-new-rules-set1/rules-current/languages
 U   trunk-new-rules-set1/rules-current
Checked out revision 1869488.
+ svn up -r 1869287 trunk-new-rules-set1/rulesrc/
Updating 'trunk-new-rules-set1/rulesrc':
At revision 1869287.
+ svn up trunk-new-rules-set1/masses/
Updating 'trunk-new-rules-set1/masses':
At revision 1869488.
+ svn up trunk-new-rules-set1/build/
Updating 'trunk-new-rules-set1/build':
At revision 1869488.
+ cd trunk-new-rules-set1/masses
+ patch
patching file Makefile
+ cp rule-update-score-gen/lock-scores .
+ cp rule-update-score-gen/extract-new-scores .
+ cp rule-update-score-gen/add-hitless-active-to-freqs .
+ cd ..
+ date
Thu Nov  7 02:47:46 UTC 2019
+ echo '[ generating active ruleset via make ]'
[ generating active ruleset via make ]
+ perl Makefile.PL
What email address or URL should be used in the suspected-spam report
text for users who want more information on your filter installation?
(In particular, ISPs should change this to a local Postmaster contact)
default text: [the administrator of that system] the administrator of that system

NOTE: settings for "make test" are now controlled using "t/config.dist". 
See that file if you wish to customize what tests are run, and how.

checking module dependencies and their versions...

***************************************************************************
NOTE: the optional Digest::SHA1 module is not installed.

  The Digest::SHA1 module is still required by the Razor2 plugin.
  Other modules prefer Digest::SHA, which is a Perl base module.


***************************************************************************
NOTE: the optional MaxMind::DB::Reader module is not installed.

  Used by the RelayCountry plugin (not enabled by default) to
  determine the domain country codes of each relay in the path of an email. 
  Also used by the URILocalBL plugin (not enabled by default) to provide ISP
  and Country code based filtering.


***************************************************************************
NOTE: the optional MaxMind::DB::Reader::XS module is not installed.

  Recommended much faster version of the optional MaxMind::DB::Reader module,
  used by RelayCountry / URILocalBL plugins.


***************************************************************************
NOTE: the optional IP::Country::DB_File module is not installed.

  Used by the RelayCountry plugin (not enabled by default) to
  determine the domain country codes of each relay in the path of an email. 
  Also used by the URILocalBL plugin (not enabled by default) to provide
  Country code based filtering.


***************************************************************************
NOTE: the optional BSD::Resource module is not installed.

  BSD::Resource provides BSD process resource limit and priority 
  functions.  It is used by the optional ResourceLimits Plugin.


***************************************************************************
NOTE: the optional Archive::Zip module is not installed.

  Archive::Zip provides an interface to ZIP archive files.
  It is used by the optional OLEMacro Plugin.


***************************************************************************
NOTE: the optional IO::String module is not installed.

  IO::String emulates file interface for in-core strings.
  It is used by the optional OLEMacro Plugin.

checking binary dependencies and their versions...

***************************************************************************
NOTE: the optional fetch binary is not installed.

   Sa-update will use curl, wget or fetch to download updates.  
   Because perl module LWP does not support IPv6, sa-update as of
   3.4.0 will use these standard programs to download rule updates
   leaving LWP as a fallback if none of the programs are found.

   *IMPORTANT NOTE*: You only need one of these programs 
       It's only a concern if you are warned about all 3 
       i.e. (curl, wget & fetch) missing


***************************************************************************
NOTE: the optional re2c binary is not installed.

  The "re2c" program is used by sa-compile to compile rules 
  for regular expressions to speed up scanning.

dependency check complete...

optional module missing: Digest::SHA1
optional module missing: MaxMind::DB::Reader
optional module missing: MaxMind::DB::Reader::XS
optional module missing: IP::Country::DB_File
optional module missing: BSD::Resource
optional module missing: Archive::Zip
optional module missing: IO::String
optional binary missing or nonfunctional: fetch
optional binary missing or nonfunctional: re2c

warning: some functionality may not be available,
please read the above report before continuing!

Checking if your kit is complete...
Looks good
Generating a Unix-style Makefile
Writing Makefile for Mail::SpamAssassin
Writing MYMETA.yml and MYMETA.json
Makefile written by ExtUtils::MakeMaker 7.0401
+ make
+ grep -v '^score' rules/72_active.cf
+ mv -f rules/72_active.cf-scoreless rules/72_active.cf
+ date
Thu Nov  7 02:48:43 UTC 2019
+ echo '[ running log-grep-recent ]'
[ running log-grep-recent ]
+ pwd
/usr/local/spamassassin/automc/tmp/generate-new-scores/trunk-new-rules-set1
+ echo -e '\nmasses/log-grep-recent -m 96 ../corpus/usable-corpus-set1/ham-*.log > masses/ham-full.log'

masses/log-grep-recent -m 96 ../corpus/usable-corpus-set1/ham-*.log > masses/ham-full.log
+ masses/log-grep-recent -m 96 ../corpus/usable-corpus-set1/ham-net-axb-coi-bulk.r1869287.log ../corpus/usable-corpus-set1/ham-net-axb-generic.r1869287.log ../corpus/usable-corpus-set1/ham-net-axb-ham-misc.r1869287.log ../corpus/usable-corpus-set1/ham-net-darxus.r1869287.log ../corpus/usable-corpus-set1/ham-net-ena-week3.r1869287.log ../corpus/usable-corpus-set1/ham-net-ena-week4.r1869287.log ../corpus/usable-corpus-set1/ham-net-grenier.r1869287.log ../corpus/usable-corpus-set1/ham-net-hege.r1869287.log ../corpus/usable-corpus-set1/ham-net-jarif.r1869287.log ../corpus/usable-corpus-set1/ham-net-jbrooks.r1869287.log ../corpus/usable-corpus-set1/ham-net-llanga.r1869287.log ../corpus/usable-corpus-set1/ham-net-mmiroslaw-mails-ham.r1869287.log ../corpus/usable-corpus-set1/ham-net-mmiroslaw-mails-spam.r1869287.log ../corpus/usable-corpus-set1/ham-net-npiazzi.r1869287.log ../corpus/usable-corpus-set1/ham-net-pds.r1869287.log ../corpus/usable-corpus-set1/ham-net-sihde.r1869287.log ../corpus
 /usable-corpus-set1/ham-net-spamsponge.r1869287.log ../corpus/usable-corpus-set1/ham-net-thendrikx.r1869287.log
Month distribution:

   63240 (  9%)     63240   0-1 months old
  171248 ( 25%)    108008   1-2 months old
  227733 ( 33%)     56485   2-3 months old
  288202 ( 42%)     60469   3-4 months old
  328070 ( 48%)     39868   4-5 months old
  357888 ( 52%)     29818   5-6 months old
  399480 ( 58%)     41592   6-7 months old
  431869 ( 63%)     32389   7-8 months old
  460766 ( 67%)     28897   8-9 months old
  487775 ( 71%)     27009   9-10 months old
  497593 ( 73%)      9818  10-11 months old
  510135 ( 75%)     12542  11-12 months old
  522866 ( 76%)     12731  12-13 months old
  535830 ( 78%)     12964  13-14 months old
  545076 ( 80%)      9246  14-15 months old
  551529 ( 81%)      6453  15-16 months old
  556756 ( 81%)      5227  16-17 months old
  562866 ( 82%)      6110  17-18 months old
  567653 ( 83%)      4787  18-19 months old
  572031 ( 84%)      4378  19-20 months old
  576520 ( 84%)      4489  20-21 months old
  581099 ( 85%)      4579  21-22 months old
  584966 ( 86%)      3867  22-23 months old
  589605 ( 86%)      4639  23-24 months old
  594242 ( 87%)      4637  24-25 months old
  598321 ( 88%)      4079  25-26 months old
  601860 ( 88%)      3539  26-27 months old
  605074 ( 89%)      3214  27-28 months old
  606687 ( 89%)      1613  28-29 months old
  609366 ( 89%)      2679  29-30 months old
  612343 ( 90%)      2977  30-31 months old
  615362 ( 90%)      3019  31-32 months old
  618246 ( 90%)      2884  32-33 months old
  621133 ( 91%)      2887  33-34 months old
  623755 ( 91%)      2622  34-35 months old
  626589 ( 92%)      2834  35-36 months old
  629148 ( 92%)      2559  36-37 months old
  631467 ( 92%)      2319  37-38 months old
  633896 ( 93%)      2429  38-39 months old
  636360 ( 93%)      2464  39-40 months old
  639161 ( 94%)      2801  40-41 months old
  642624 ( 94%)      3463  41-42 months old
  644994 ( 94%)      2370  42-43 months old
  647364 ( 95%)      2370  43-44 months old
  650089 ( 95%)      2725  44-45 months old
  652506 ( 95%)      2417  45-46 months old
  653903 ( 96%)      1397  46-47 months old
  655856 ( 96%)      1953  47-48 months old
  657552 ( 96%)      1696  48-49 months old
  659103 ( 96%)      1551  49-50 months old
  660415 ( 97%)      1312  50-51 months old
  661795 ( 97%)      1380  51-52 months old
  662699 ( 97%)       904  52-53 months old
  663744 ( 97%)      1045  53-54 months old
  664798 ( 97%)      1054  54-55 months old
  665810 ( 97%)      1012  55-56 months old
  667005 ( 98%)      1195  56-57 months old
  668044 ( 98%)      1039  57-58 months old
  669000 ( 98%)       956  58-59 months old
  669865 ( 98%)       865  59-60 months old
  670786 ( 98%)       921  60-61 months old
  671706 ( 98%)       920  61-62 months old
  672633 ( 98%)       927  62-63 months old
  673631 ( 99%)       998  63-64 months old
  674239 ( 99%)       608  64-65 months old
  674750 ( 99%)       511  65-66 months old
  674822 ( 99%)        72  66-67 months old
  674894 ( 99%)        72  67-68 months old
  674955 ( 99%)        61  68-69 months old
  675149 ( 99%)       194  69-70 months old
  675256 ( 99%)       107  70-71 months old
  675489 ( 99%)       233  71-72 months old
  675711 ( 99%)       222  72-73 months old
  675788 ( 99%)        77  73-74 months old
  675893 ( 99%)       105  74-75 months old
  675996 ( 99%)       103  75-76 months old
  676121 ( 99%)       125  76-77 months old
  676214 ( 99%)        93  77-78 months old
  676327 ( 99%)       113  78-79 months old
  676353 ( 99%)        26  79-80 months old
  676391 ( 99%)        38  80-81 months old
  676485 ( 99%)        94  81-82 months old
  676509 ( 99%)        24  82-83 months old
  676561 ( 99%)        52  83-84 months old
  676704 ( 99%)       143  85-86 months old
  676917 ( 99%)       213  86-87 months old
  677151 ( 99%)       234  87-88 months old
  677439 ( 99%)       288  88-89 months old
  677715 ( 99%)       276  89-90 months old
  677884 ( 99%)       169  90-91 months old
  677971 ( 99%)        87  91-92 months old
  678435 ( 99%)       464  92-93 months old
  678969 ( 99%)       534  93-94 months old
  679377 ( 99%)       408  94-95 months old
  679752 ( 99%)       375  95-96 months old
  679755 ( 99%)         3  128-129 months old
  679758 ( 99%)         3  135-136 months old
  679762 (100%)         4  142-143 months old
+ echo -e '\nmasses/log-grep-recent -m 3 ../corpus/usable-corpus-set1/spam-*.log > masses/spam-full.log'

masses/log-grep-recent -m 3 ../corpus/usable-corpus-set1/spam-*.log > masses/spam-full.log
+ masses/log-grep-recent -m 3 ../corpus/usable-corpus-set1/spam-net-axb-coi-bulk.r1869287.log ../corpus/usable-corpus-set1/spam-net-axb-generic.r1869287.log ../corpus/usable-corpus-set1/spam-net-axb-ham-misc.r1869287.log ../corpus/usable-corpus-set1/spam-net-darxus.r1869287.log ../corpus/usable-corpus-set1/spam-net-ena-week3.r1869287.log ../corpus/usable-corpus-set1/spam-net-ena-week4.r1869287.log ../corpus/usable-corpus-set1/spam-net-grenier.r1869287.log ../corpus/usable-corpus-set1/spam-net-hege.r1869287.log ../corpus/usable-corpus-set1/spam-net-jarif.r1869287.log ../corpus/usable-corpus-set1/spam-net-jbrooks.r1869287.log ../corpus/usable-corpus-set1/spam-net-llanga.r1869287.log ../corpus/usable-corpus-set1/spam-net-mmiroslaw-mails-ham.r1869287.log ../corpus/usable-corpus-set1/spam-net-mmiroslaw-mails-spam.r1869287.log ../corpus/usable-corpus-set1/spam-net-npiazzi.r1869287.log ../corpus/usable-corpus-set1/spam-net-pds.r1869287.log ../corpus/usable-corpus-set1/spam-net-sihde.r186928
 7.log ../corpus/usable-corpus-set1/spam-net-spamsponge.r1869287.log ../corpus/usable-corpus-set1/spam-net-thendrikx.r1869287.log
Month distribution:

  301794 ( 46%)    301794   0-1 months old
  570914 ( 87%)    269120   1-2 months old
  575421 ( 88%)      4507   2-3 months old
  577771 ( 88%)      2350   3-4 months old
  579762 ( 89%)      1991   4-5 months old
  582005 ( 89%)      2243   5-6 months old
  584035 ( 89%)      2030   6-7 months old
  585687 ( 89%)      1652   7-8 months old
  603680 ( 92%)     17993   8-9 months old
  605234 ( 92%)      1554   9-10 months old
  606513 ( 93%)      1279  10-11 months old
  607505 ( 93%)       992  11-12 months old
  608373 ( 93%)       868  12-13 months old
  609548 ( 93%)      1175  13-14 months old
  610990 ( 93%)      1442  14-15 months old
  612410 ( 94%)      1420  15-16 months old
  613769 ( 94%)      1359  16-17 months old
  615163 ( 94%)      1394  17-18 months old
  616523 ( 94%)      1360  18-19 months old
  617468 ( 94%)       945  19-20 months old
  618225 ( 94%)       757  20-21 months old
  619027 ( 95%)       802  21-22 months old
  619796 ( 95%)       769  22-23 months old
  620856 ( 95%)      1060  23-24 months old
  621779 ( 95%)       923  24-25 months old
  622620 ( 95%)       841  25-26 months old
  623234 ( 95%)       614  26-27 months old
  623744 ( 95%)       510  27-28 months old
  624367 ( 95%)       623  28-29 months old
  624912 ( 96%)       545  29-30 months old
  625397 ( 96%)       485  30-31 months old
  625937 ( 96%)       540  31-32 months old
  626584 ( 96%)       647  32-33 months old
  627172 ( 96%)       588  33-34 months old
  627594 ( 96%)       422  34-35 months old
  628248 ( 96%)       654  35-36 months old
  628817 ( 96%)       569  36-37 months old
  629554 ( 96%)       737  37-38 months old
  630250 ( 96%)       696  38-39 months old
  630833 ( 96%)       583  39-40 months old
  631453 ( 97%)       620  40-41 months old
  632101 ( 97%)       648  41-42 months old
  632761 ( 97%)       660  42-43 months old
  633384 ( 97%)       623  43-44 months old
  634030 ( 97%)       646  44-45 months old
  634807 ( 97%)       777  45-46 months old
  635519 ( 97%)       712  46-47 months old
  636382 ( 97%)       863  47-48 months old
  637322 ( 97%)       940  48-49 months old
  638329 ( 98%)      1007  49-50 months old
  639254 ( 98%)       925  50-51 months old
  640169 ( 98%)       915  51-52 months old
  641178 ( 98%)      1009  52-53 months old
  642156 ( 98%)       978  53-54 months old
  642925 ( 98%)       769  54-55 months old
  643738 ( 98%)       813  55-56 months old
  644667 ( 99%)       929  56-57 months old
  645907 ( 99%)      1240  57-58 months old
  646925 ( 99%)      1018  58-59 months old
  647879 ( 99%)       954  59-60 months old
  648846 ( 99%)       967  60-61 months old
  649635 ( 99%)       789  61-62 months old
  649830 ( 99%)       195  62-63 months old
  650002 ( 99%)       172  63-64 months old
  650166 ( 99%)       164  64-65 months old
  650216 ( 99%)        50  65-66 months old
  650288 ( 99%)        72  66-67 months old
  650407 ( 99%)       119  67-68 months old
  650551 ( 99%)       144  68-69 months old
  650703 ( 99%)       152  69-70 months old
  650804 ( 99%)       101  70-71 months old
  650813 ( 99%)         9  71-72 months old
  650816 ( 99%)         3  78-79 months old
  650817 ( 99%)         1  79-80 months old
  650818 ( 99%)         1  80-81 months old
  650819 ( 99%)         1  82-83 months old
  650820 ( 99%)         1  83-84 months old
  650822 (100%)         2  84-85 months old
++ wc -l masses/ham-full.log
++ sed -e 's/^[ \t]*//'
++ cut '-d ' -f1
+ HAMCOUNT=679752
++ wc -l masses/spam-full.log
++ cut '-d ' -f1
++ sed -e 's/^[ \t]*//'
+ SPAMCOUNT=577771
+ echo ' HAM: 679752 (100000 required)'
+ echo 'SPAM: 577771 (100000 required)'
 HAM: 679752 (100000 required)
+ [[ 679752 -lt 100000 ]]
SPAM: 577771 (100000 required)
+ [[ 577771 -lt 100000 ]]
+ cp masses/config.set1 masses/config
+ . masses/config
++ SCORESET=1
++ HAM_PREFERENCE=10
++ THRESHOLD=5.0
++ EPOCHS=5500
++ NOTE=
+ NAME=set1
+ LOGDIR=gen-set1-10-5.0-5500-ga
+ date
Thu Nov  7 03:00:57 UTC 2019
+ echo '[ running make freqs ]'
+ cd masses
[ running make freqs ]
+ pwd
+ set -x
/usr/local/spamassassin/automc/tmp/generate-new-scores/trunk-new-rules-set1/masses
+ make clean
rm -rf *.o perceptron tmp freqs badrules \
          perceptron.scores garescorer garescorer.scores
+ set +x
+ make freqs SCORESET=1
perl hit-frequencies -c ../rules -x -p -s 1 > freqs
+ make
+ set +x
Thu Nov  7 03:18:55 UTC 2019
[ starting runGA ]
+ mkdir -p gen-set1-10-5.0-5500-ga gen-set1-10-5.0-5500-ga/NSBASE gen-set1-10-5.0-5500-ga/SPBASE
+ [ -d gen-set1-10-5.0-5500-ga ]
+ rm -rf tmprules
+ cp -r ../rules tmprules
+ cp tmprules/50_scores.cf orig_scores.cf
+ ./enable-all-evolved-rules
Argument "2015-05-01" isn't numeric in addition (+) at ./enable-all-evolved-rules line 47, <> line 345.
+ mv tmprules/50_scores.cf.new tmprules/50_scores.cf
+ [ y = y ]
+ rm tmprules/70_sandbox.cf
+ echo [Doing a scoreset 1 score-generation run]
+ echo [Cleaning up]
+ rm -rf spam-test.log ham-test.log spam.log[Doing a scoreset 1 score-generation run]
[Cleaning up]
 ham.log NSBASE SPBASE tmp make.output freqs perceptron.scores garescorer.scores
+ make clean
rm -rf *.o perceptron tmp freqs badrules \
          perceptron.scores garescorer garescorer.scores
+ echo [Generating 90/10 split ham]
+ perl tenpass/split-log-into-buckets-cached 9:gen-cache/ham-split9.log 1:gen-cache/ham-split1.log ORIG/ham-set1.log
[Generating 90/10 split ham]
Creating gen-cache/ham-split9.log with 9 buckets
Creating gen-cache/ham-split1.log with 1 buckets
Reading from ORIG/ham-set1.log
+ ln gen-cache/ham-split9.log gen-set1-10-5.0-5500-ga/NSBASE/ham.log
+ ln gen-cache/ham-split1.log gen-set1-10-5.0-5500-ga/NSBASE/ham-test.log
+ echo [Generating 90/10 split spam]
+ perl tenpass/split-log-into-buckets-cached 9:gen-cache/spam-split9.log 1:gen-cache/spam-split1.log ORIG/spam-set1.log
[Generating 90/10 split spam]
Creating gen-cache/spam-split9.log with 9 buckets
Creating gen-cache/spam-split1.log with 1 buckets
Reading from ORIG/spam-set1.log
+ ln gen-cache/spam-split9.log gen-set1-10-5.0-5500-ga/SPBASE/spam.log
+ ln gen-cache/spam-split1.log gen-set1-10-5.0-5500-ga/SPBASE/spam-test.log
+ echo [Setting up for gen run]
+ ln -s gen-set1-10-5.0-5500-ga/SPBASE/spam.log .
[Setting up for gen run]
+ ln -s gen-set1-10-5.0-5500-ga/NSBASE/ham.log .
+ ln -s gen-set1-10-5.0-5500-ga/SPBASE/spam-test.log .
+ ln -s gen-set1-10-5.0-5500-ga/NSBASE/ham-test.log .
+ uname
+ ostype=Linux
+ [ Linux = FreeBSD ]
+ [ Linux = SunOS ]
+ cpucount
+ egrep -c ^processor\b /proc/cpuinfo
+ numcpus=6
+ [ 6 -le 0 ]
+ echo [Generating GA]
[Generating GA]
+ make -j 6 SCORESET=1 garescorer
+ cp freqs gen-set1-10-5.0-5500-ga/freqs
+ echo [config]
+ cat config
[config]
+ echo [gen run start]
+ pwd
+ date
+ time ./garescorer -b 10 -e 5500 -t 5.0
SCORESET=1
HAM_PREFERENCE=10
THRESHOLD=5.0
EPOCHS=5500
NOTE=
[gen run start]
/usr/local/spamassassin/automc/tmp/generate-new-scores/trunk-new-rules-set1/masses
Thu Nov  7 03:39:04 UTC 2019
Read test results for 112525 messages (1005976 total).
Read scores for 754 tests.
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 6.865 iterations/s, iteration no. 50

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543149  53.992%  (99.898% of non-spam corpus)
# Correctly spam:     424159  42.164%  (91.755% of spam corpus)
# False positives:       555  0.055%  (0.102% of nonspam,  30754 weighted)
# False negatives:     38113  3.789%  (8.245% of spam,  70108 weighted)
# Average score for spam:  16.5    nonspam: -2.8
# Average for false-pos:   6.5  false-neg: 1.8
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 6.712 iterations/s, iteration no. 100

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543114  53.989%  (99.891% of non-spam corpus)
# Correctly spam:     424642  42.212%  (91.860% of spam corpus)
# False positives:       590  0.059%  (0.109% of nonspam,  32416 weighted)
# False negatives:     37630  3.741%  (8.140% of spam,  71609 weighted)
# Average score for spam:  16.6    nonspam: -2.6
# Average for false-pos:   6.5  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 7.461 iterations/s, iteration no. 150

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543113  53.989%  (99.891% of non-spam corpus)
# Correctly spam:     425206  42.268%  (91.982% of spam corpus)
# False positives:       591  0.059%  (0.109% of nonspam,  31783 weighted)
# False negatives:     37066  3.685%  (8.018% of spam,  71108 weighted)
# Average score for spam:  16.7    nonspam: -2.5
# Average for false-pos:   6.3  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 7.149 iterations/s, iteration no. 200

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543147  53.992%  (99.898% of non-spam corpus)
# Correctly spam:     425378  42.285%  (92.019% of spam corpus)
# False positives:       557  0.055%  (0.102% of nonspam,  30086 weighted)
# False negatives:     36894  3.667%  (7.981% of spam,  71005 weighted)
# Average score for spam:  16.6    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 6.578 iterations/s, iteration no. 250

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543139  53.991%  (99.896% of non-spam corpus)
# Correctly spam:     425584  42.306%  (92.064% of spam corpus)
# False positives:       565  0.056%  (0.104% of nonspam,  30461 weighted)
# False negatives:     36688  3.647%  (7.936% of spam,  70651 weighted)
# Average score for spam:  16.7    nonspam: -2.5
# Average for false-pos:   6.3  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 6.869 iterations/s, iteration no. 300

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543132  53.991%  (99.895% of non-spam corpus)
# Correctly spam:     425679  42.315%  (92.084% of spam corpus)
# False positives:       572  0.057%  (0.105% of nonspam,  30709 weighted)
# False negatives:     36593  3.638%  (7.916% of spam,  70533 weighted)
# Average score for spam:  16.6    nonspam: -2.5
# Average for false-pos:   6.3  false-neg: 1.9
# TOTAL:              1005976  100.00%

Iter #     Field      Value
300        Best       1.188095e+05
           Average    1.188497e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 6.085 iterations/s, iteration no. 350

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543137  53.991%  (99.896% of non-spam corpus)
# Correctly spam:     425793  42.326%  (92.109% of spam corpus)
# False positives:       567  0.056%  (0.104% of nonspam,  30473 weighted)
# False negatives:     36479  3.626%  (7.891% of spam,  70154 weighted)
# Average score for spam:  16.6    nonspam: -2.5
# Average for false-pos:   6.3  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 6.074 iterations/s, iteration no. 400

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543140  53.991%  (99.896% of non-spam corpus)
# Correctly spam:     425889  42.336%  (92.130% of spam corpus)
# False positives:       564  0.056%  (0.104% of nonspam,  30257 weighted)
# False negatives:     36383  3.617%  (7.870% of spam,  69776 weighted)
# Average score for spam:  16.5    nonspam: -2.5
# Average for false-pos:   6.3  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 6.129 iterations/s, iteration no. 450

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543160  53.993%  (99.900% of non-spam corpus)
# Correctly spam:     425871  42.334%  (92.126% of spam corpus)
# False positives:       544  0.054%  (0.100% of nonspam,  29401 weighted)
# False negatives:     36401  3.618%  (7.874% of spam,  69964 weighted)
# Average score for spam:  16.7    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 6.806 iterations/s, iteration no. 500

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543161  53.993%  (99.900% of non-spam corpus)
# Correctly spam:     425901  42.337%  (92.132% of spam corpus)
# False positives:       543  0.054%  (0.100% of nonspam,  29343 weighted)
# False negatives:     36371  3.615%  (7.868% of spam,  69886 weighted)
# Average score for spam:  16.8    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 6.693 iterations/s, iteration no. 550

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543148  53.992%  (99.898% of non-spam corpus)
# Correctly spam:     425882  42.335%  (92.128% of spam corpus)
# False positives:       556  0.055%  (0.102% of nonspam,  29913 weighted)
# False negatives:     36390  3.617%  (7.872% of spam,  70050 weighted)
# Average score for spam:  16.8    nonspam: -2.5
# Average for false-pos:   6.3  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 7.441 iterations/s, iteration no. 600

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543109  53.988%  (99.891% of non-spam corpus)
# Correctly spam:     425911  42.338%  (92.134% of spam corpus)
# False positives:       595  0.059%  (0.109% of nonspam,  31528 weighted)
# False negatives:     36361  3.614%  (7.866% of spam,  69930 weighted)
# Average score for spam:  16.8    nonspam: -2.5
# Average for false-pos:   6.2  false-neg: 1.9
# TOTAL:              1005976  100.00%

Iter #     Field      Value
600        Best       1.181092e+05
           Average    1.181291e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 7.001 iterations/s, iteration no. 650

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543158  53.993%  (99.900% of non-spam corpus)
# Correctly spam:     425916  42.339%  (92.135% of spam corpus)
# False positives:       546  0.054%  (0.100% of nonspam,  29360 weighted)
# False negatives:     36356  3.614%  (7.865% of spam,  69848 weighted)
# Average score for spam:  16.8    nonspam: -2.5
# Average for false-pos:   6.3  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 6.802 iterations/s, iteration no. 700

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543157  53.993%  (99.899% of non-spam corpus)
# Correctly spam:     425926  42.340%  (92.138% of spam corpus)
# False positives:       547  0.054%  (0.101% of nonspam,  29381 weighted)
# False negatives:     36346  3.613%  (7.862% of spam,  69798 weighted)
# Average score for spam:  16.8    nonspam: -2.5
# Average for false-pos:   6.3  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 6.481 iterations/s, iteration no. 750

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543157  53.993%  (99.899% of non-spam corpus)
# Correctly spam:     425931  42.340%  (92.139% of spam corpus)
# False positives:       547  0.054%  (0.101% of nonspam,  29384 weighted)
# False negatives:     36341  3.613%  (7.861% of spam,  69795 weighted)
# Average score for spam:  16.9    nonspam: -2.5
# Average for false-pos:   6.3  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 7.147 iterations/s, iteration no. 800

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543156  53.993%  (99.899% of non-spam corpus)
# Correctly spam:     425939  42.341%  (92.140% of spam corpus)
# False positives:       548  0.054%  (0.101% of nonspam,  29432 weighted)
# False negatives:     36333  3.612%  (7.860% of spam,  69773 weighted)
# Average score for spam:  16.9    nonspam: -2.5
# Average for false-pos:   6.3  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 7.001 iterations/s, iteration no. 850

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543170  53.994%  (99.902% of non-spam corpus)
# Correctly spam:     425958  42.343%  (92.144% of spam corpus)
# False positives:       534  0.053%  (0.098% of nonspam,  28857 weighted)
# False negatives:     36314  3.610%  (7.856% of spam,  69737 weighted)
# Average score for spam:  17.1    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 6.695 iterations/s, iteration no. 900

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543131  53.990%  (99.895% of non-spam corpus)
# Correctly spam:     425973  42.344%  (92.148% of spam corpus)
# False positives:       573  0.057%  (0.105% of nonspam,  30526 weighted)
# False negatives:     36299  3.608%  (7.852% of spam,  69686 weighted)
# Average score for spam:  17.1    nonspam: -2.5
# Average for false-pos:   6.3  false-neg: 1.9
# TOTAL:              1005976  100.00%

Iter #     Field      Value
900        Best       1.179755e+05
           Average    1.180120e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 7.578 iterations/s, iteration no. 950

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543131  53.990%  (99.895% of non-spam corpus)
# Correctly spam:     425978  42.345%  (92.149% of spam corpus)
# False positives:       573  0.057%  (0.105% of nonspam,  30524 weighted)
# False negatives:     36294  3.608%  (7.851% of spam,  69662 weighted)
# Average score for spam:  17.1    nonspam: -2.5
# Average for false-pos:   6.3  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 7.295 iterations/s, iteration no. 1000

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543160  53.993%  (99.900% of non-spam corpus)
# Correctly spam:     425985  42.345%  (92.150% of spam corpus)
# False positives:       544  0.054%  (0.100% of nonspam,  29288 weighted)
# False negatives:     36287  3.607%  (7.850% of spam,  69628 weighted)
# Average score for spam:  17.1    nonspam: -2.5
# Average for false-pos:   6.3  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 7.031 iterations/s, iteration no. 1050

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543160  53.993%  (99.900% of non-spam corpus)
# Correctly spam:     425983  42.345%  (92.150% of spam corpus)
# False positives:       544  0.054%  (0.100% of nonspam,  29284 weighted)
# False negatives:     36289  3.607%  (7.850% of spam,  69635 weighted)
# Average score for spam:  17.1    nonspam: -2.5
# Average for false-pos:   6.3  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 6.971 iterations/s, iteration no. 1100

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543160  53.993%  (99.900% of non-spam corpus)
# Correctly spam:     425980  42.345%  (92.149% of spam corpus)
# False positives:       544  0.054%  (0.100% of nonspam,  29286 weighted)
# False negatives:     36292  3.608%  (7.851% of spam,  69654 weighted)
# Average score for spam:  17.2    nonspam: -2.5
# Average for false-pos:   6.3  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 6.773 iterations/s, iteration no. 1150

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543161  53.993%  (99.900% of non-spam corpus)
# Correctly spam:     426002  42.347%  (92.154% of spam corpus)
# False positives:       543  0.054%  (0.100% of nonspam,  29237 weighted)
# False negatives:     36270  3.605%  (7.846% of spam,  69540 weighted)
# Average score for spam:  17.0    nonspam: -2.5
# Average for false-pos:   6.3  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 6.674 iterations/s, iteration no. 1200

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543161  53.993%  (99.900% of non-spam corpus)
# Correctly spam:     426004  42.347%  (92.154% of spam corpus)
# False positives:       543  0.054%  (0.100% of nonspam,  29237 weighted)
# False negatives:     36268  3.605%  (7.846% of spam,  69531 weighted)
# Average score for spam:  17.0    nonspam: -2.5
# Average for false-pos:   6.3  false-neg: 1.9
# TOTAL:              1005976  100.00%

Iter #     Field      Value
1200       Best       1.179630e+05
           Average    1.179765e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 7.365 iterations/s, iteration no. 1250

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543160  53.993%  (99.900% of non-spam corpus)
# Correctly spam:     426001  42.347%  (92.154% of spam corpus)
# False positives:       544  0.054%  (0.100% of nonspam,  29281 weighted)
# False negatives:     36271  3.606%  (7.846% of spam,  69548 weighted)
# Average score for spam:  17.0    nonspam: -2.5
# Average for false-pos:   6.3  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 7.198 iterations/s, iteration no. 1300

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543152  53.993%  (99.898% of non-spam corpus)
# Correctly spam:     426014  42.348%  (92.157% of spam corpus)
# False positives:       552  0.055%  (0.102% of nonspam,  29706 weighted)
# False negatives:     36258  3.604%  (7.843% of spam,  69603 weighted)
# Average score for spam:  17.0    nonspam: -2.5
# Average for false-pos:   6.3  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 6.904 iterations/s, iteration no. 1350

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543178  53.995%  (99.903% of non-spam corpus)
# Correctly spam:     426011  42.348%  (92.156% of spam corpus)
# False positives:       526  0.052%  (0.097% of nonspam,  28586 weighted)
# False negatives:     36261  3.605%  (7.844% of spam,  69610 weighted)
# Average score for spam:  17.0    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 6.667 iterations/s, iteration no. 1400

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543180  53.995%  (99.904% of non-spam corpus)
# Correctly spam:     425993  42.346%  (92.152% of spam corpus)
# False positives:       524  0.052%  (0.096% of nonspam,  28494 weighted)
# False negatives:     36279  3.606%  (7.848% of spam,  69693 weighted)
# Average score for spam:  17.0    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 7.649 iterations/s, iteration no. 1450

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543179  53.995%  (99.903% of non-spam corpus)
# Correctly spam:     426012  42.348%  (92.156% of spam corpus)
# False positives:       525  0.052%  (0.097% of nonspam,  28536 weighted)
# False negatives:     36260  3.604%  (7.844% of spam,  69600 weighted)
# Average score for spam:  17.0    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 7.483 iterations/s, iteration no. 1500

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543179  53.995%  (99.903% of non-spam corpus)
# Correctly spam:     426012  42.348%  (92.156% of spam corpus)
# False positives:       525  0.052%  (0.097% of nonspam,  28532 weighted)
# False negatives:     36260  3.604%  (7.844% of spam,  69596 weighted)
# Average score for spam:  17.0    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

Iter #     Field      Value
1500       Best       1.179175e+05
           Average    1.179259e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 7.246 iterations/s, iteration no. 1550

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543182  53.996%  (99.904% of non-spam corpus)
# Correctly spam:     426014  42.348%  (92.157% of spam corpus)
# False positives:       522  0.052%  (0.096% of nonspam,  28405 weighted)
# False negatives:     36258  3.604%  (7.843% of spam,  69587 weighted)
# Average score for spam:  17.0    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 6.953 iterations/s, iteration no. 1600

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543182  53.996%  (99.904% of non-spam corpus)
# Correctly spam:     426023  42.349%  (92.159% of spam corpus)
# False positives:       522  0.052%  (0.096% of nonspam,  28406 weighted)
# False negatives:     36249  3.603%  (7.841% of spam,  69543 weighted)
# Average score for spam:  17.0    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 6.853 iterations/s, iteration no. 1650

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543181  53.995%  (99.904% of non-spam corpus)
# Correctly spam:     426023  42.349%  (92.159% of spam corpus)
# False positives:       523  0.052%  (0.096% of nonspam,  28449 weighted)
# False negatives:     36249  3.603%  (7.841% of spam,  69544 weighted)
# Average score for spam:  17.0    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 6.762 iterations/s, iteration no. 1700

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543181  53.995%  (99.904% of non-spam corpus)
# Correctly spam:     426023  42.349%  (92.159% of spam corpus)
# False positives:       523  0.052%  (0.096% of nonspam,  28449 weighted)
# False negatives:     36249  3.603%  (7.841% of spam,  69545 weighted)
# Average score for spam:  16.9    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 6.888 iterations/s, iteration no. 1750

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543181  53.995%  (99.904% of non-spam corpus)
# Correctly spam:     426023  42.349%  (92.159% of spam corpus)
# False positives:       523  0.052%  (0.096% of nonspam,  28449 weighted)
# False negatives:     36249  3.603%  (7.841% of spam,  69545 weighted)
# Average score for spam:  17.0    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 6.929 iterations/s, iteration no. 1800

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543188  53.996%  (99.905% of non-spam corpus)
# Correctly spam:     426023  42.349%  (92.159% of spam corpus)
# False positives:       516  0.051%  (0.095% of nonspam,  28151 weighted)
# False negatives:     36249  3.603%  (7.841% of spam,  69545 weighted)
# Average score for spam:  17.0    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

Iter #     Field      Value
1800       Best       1.179146e+05
           Average    1.180842e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 6.811 iterations/s, iteration no. 1850

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543182  53.996%  (99.904% of non-spam corpus)
# Correctly spam:     426023  42.349%  (92.159% of spam corpus)
# False positives:       522  0.052%  (0.096% of nonspam,  28406 weighted)
# False negatives:     36249  3.603%  (7.841% of spam,  69545 weighted)
# Average score for spam:  17.0    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 6.611 iterations/s, iteration no. 1900

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543182  53.996%  (99.904% of non-spam corpus)
# Correctly spam:     426023  42.349%  (92.159% of spam corpus)
# False positives:       522  0.052%  (0.096% of nonspam,  28409 weighted)
# False negatives:     36249  3.603%  (7.841% of spam,  69550 weighted)
# Average score for spam:  17.0    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 7.519 iterations/s, iteration no. 1950

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543180  53.995%  (99.904% of non-spam corpus)
# Correctly spam:     426022  42.349%  (92.158% of spam corpus)
# False positives:       524  0.052%  (0.096% of nonspam,  28494 weighted)
# False negatives:     36250  3.603%  (7.842% of spam,  69555 weighted)
# Average score for spam:  17.0    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 7.486 iterations/s, iteration no. 2000

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543181  53.995%  (99.904% of non-spam corpus)
# Correctly spam:     426022  42.349%  (92.158% of spam corpus)
# False positives:       523  0.052%  (0.096% of nonspam,  28451 weighted)
# False negatives:     36250  3.603%  (7.842% of spam,  69555 weighted)
# Average score for spam:  17.0    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 7.433 iterations/s, iteration no. 2050

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543181  53.995%  (99.904% of non-spam corpus)
# Correctly spam:     426022  42.349%  (92.158% of spam corpus)
# False positives:       523  0.052%  (0.096% of nonspam,  28451 weighted)
# False negatives:     36250  3.603%  (7.842% of spam,  69555 weighted)
# Average score for spam:  17.0    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 7.360 iterations/s, iteration no. 2100

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543188  53.996%  (99.905% of non-spam corpus)
# Correctly spam:     426022  42.349%  (92.158% of spam corpus)
# False positives:       516  0.051%  (0.095% of nonspam,  28132 weighted)
# False negatives:     36250  3.603%  (7.842% of spam,  69534 weighted)
# Average score for spam:  17.0    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

Iter #     Field      Value
2100       Best       1.179117e+05
           Average    1.179254e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 7.341 iterations/s, iteration no. 2150

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543188  53.996%  (99.905% of non-spam corpus)
# Correctly spam:     426022  42.349%  (92.158% of spam corpus)
# False positives:       516  0.051%  (0.095% of nonspam,  28131 weighted)
# False negatives:     36250  3.603%  (7.842% of spam,  69534 weighted)
# Average score for spam:  17.0    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 7.406 iterations/s, iteration no. 2200

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543188  53.996%  (99.905% of non-spam corpus)
# Correctly spam:     426022  42.349%  (92.158% of spam corpus)
# False positives:       516  0.051%  (0.095% of nonspam,  28131 weighted)
# False negatives:     36250  3.603%  (7.842% of spam,  69534 weighted)
# Average score for spam:  17.0    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 7.424 iterations/s, iteration no. 2250

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543179  53.995%  (99.903% of non-spam corpus)
# Correctly spam:     426021  42.349%  (92.158% of spam corpus)
# False positives:       525  0.052%  (0.097% of nonspam,  28525 weighted)
# False negatives:     36251  3.604%  (7.842% of spam,  69550 weighted)
# Average score for spam:  17.0    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 7.487 iterations/s, iteration no. 2300

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543180  53.995%  (99.904% of non-spam corpus)
# Correctly spam:     426021  42.349%  (92.158% of spam corpus)
# False positives:       524  0.052%  (0.096% of nonspam,  28482 weighted)
# False negatives:     36251  3.604%  (7.842% of spam,  69550 weighted)
# Average score for spam:  17.0    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 7.648 iterations/s, iteration no. 2350

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543180  53.995%  (99.904% of non-spam corpus)
# Correctly spam:     426021  42.349%  (92.158% of spam corpus)
# False positives:       524  0.052%  (0.096% of nonspam,  28482 weighted)
# False negatives:     36251  3.604%  (7.842% of spam,  69550 weighted)
# Average score for spam:  17.0    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 7.206 iterations/s, iteration no. 2400

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543180  53.995%  (99.904% of non-spam corpus)
# Correctly spam:     426021  42.349%  (92.158% of spam corpus)
# False positives:       524  0.052%  (0.096% of nonspam,  28482 weighted)
# False negatives:     36251  3.604%  (7.842% of spam,  69550 weighted)
# Average score for spam:  17.0    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

Iter #     Field      Value
2400       Best       1.179106e+05
           Average    1.179140e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 7.258 iterations/s, iteration no. 2450

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543180  53.995%  (99.904% of non-spam corpus)
# Correctly spam:     426021  42.349%  (92.158% of spam corpus)
# False positives:       524  0.052%  (0.096% of nonspam,  28482 weighted)
# False negatives:     36251  3.604%  (7.842% of spam,  69550 weighted)
# Average score for spam:  17.0    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 7.225 iterations/s, iteration no. 2500

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543180  53.995%  (99.904% of non-spam corpus)
# Correctly spam:     426021  42.349%  (92.158% of spam corpus)
# False positives:       524  0.052%  (0.096% of nonspam,  28482 weighted)
# False negatives:     36251  3.604%  (7.842% of spam,  69551 weighted)
# Average score for spam:  17.0    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 7.259 iterations/s, iteration no. 2550

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543181  53.995%  (99.904% of non-spam corpus)
# Correctly spam:     426021  42.349%  (92.158% of spam corpus)
# False positives:       523  0.052%  (0.096% of nonspam,  28439 weighted)
# False negatives:     36251  3.604%  (7.842% of spam,  69550 weighted)
# Average score for spam:  17.0    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 7.280 iterations/s, iteration no. 2600

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543181  53.995%  (99.904% of non-spam corpus)
# Correctly spam:     426021  42.349%  (92.158% of spam corpus)
# False positives:       523  0.052%  (0.096% of nonspam,  28439 weighted)
# False negatives:     36251  3.604%  (7.842% of spam,  69550 weighted)
# Average score for spam:  17.0    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 0 0 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 7.348 iterations/s, iteration no. 2650

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543158  53.993%  (99.900% of non-spam corpus)
# Correctly spam:     426022  42.349%  (92.158% of spam corpus)
# False positives:       546  0.054%  (0.100% of nonspam,  29423 weighted)
# False negatives:     36250  3.603%  (7.842% of spam,  69551 weighted)
# Average score for spam:  17.0    nonspam: -2.5
# Average for false-pos:   6.3  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 217 608 0 0 0
Adapt (over, cross, repeat): 0 2 491
Performance: 5.237 iterations/s, iteration no. 2700

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543159  53.993%  (99.900% of non-spam corpus)
# Correctly spam:     426016  42.349%  (92.157% of spam corpus)
# False positives:       545  0.054%  (0.100% of nonspam,  29380 weighted)
# False negatives:     36256  3.604%  (7.843% of spam,  69581 weighted)
# Average score for spam:  17.0    nonspam: -2.5
# Average for false-pos:   6.3  false-neg: 1.9
# TOTAL:              1005976  100.00%

Iter #     Field      Value
2700       Best       1.179101e+05
           Average    1.179223e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1345 2986 0 0 0
Adapt (over, cross, repeat): 0 14 2250
Performance: 2.379 iterations/s, iteration no. 2750

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543186  53.996%  (99.905% of non-spam corpus)
# Correctly spam:     426016  42.349%  (92.157% of spam corpus)
# False positives:       518  0.051%  (0.095% of nonspam,  28228 weighted)
# False negatives:     36256  3.604%  (7.843% of spam,  69578 weighted)
# Average score for spam:  17.0    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1271 5745 0 0 0
Adapt (over, cross, repeat): 0 3 5069
Performance: 1.557 iterations/s, iteration no. 2800

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543159  53.993%  (99.900% of non-spam corpus)
# Correctly spam:     426024  42.349%  (92.159% of spam corpus)
# False positives:       545  0.054%  (0.100% of nonspam,  29376 weighted)
# False negatives:     36248  3.603%  (7.841% of spam,  69539 weighted)
# Average score for spam:  17.1    nonspam: -2.5
# Average for false-pos:   6.3  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1354 1857 0 0 0
Adapt (over, cross, repeat): 1 5 1128
Performance: 2.867 iterations/s, iteration no. 2850

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543159  53.993%  (99.900% of non-spam corpus)
# Correctly spam:     426024  42.349%  (92.159% of spam corpus)
# False positives:       545  0.054%  (0.100% of nonspam,  29376 weighted)
# False negatives:     36248  3.603%  (7.841% of spam,  69539 weighted)
# Average score for spam:  17.0    nonspam: -2.5
# Average for false-pos:   6.3  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1358 4404 0 0 0
Adapt (over, cross, repeat): 0 1 3677
Performance: 1.890 iterations/s, iteration no. 2900

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543159  53.993%  (99.900% of non-spam corpus)
# Correctly spam:     426024  42.349%  (92.159% of spam corpus)
# False positives:       545  0.054%  (0.100% of nonspam,  29376 weighted)
# False negatives:     36248  3.603%  (7.841% of spam,  69539 weighted)
# Average score for spam:  17.0    nonspam: -2.5
# Average for false-pos:   6.3  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1253 2680 0 0 0
Adapt (over, cross, repeat): 0 0 2013
Performance: 2.452 iterations/s, iteration no. 2950

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543159  53.993%  (99.900% of non-spam corpus)
# Correctly spam:     426024  42.349%  (92.159% of spam corpus)
# False positives:       545  0.054%  (0.100% of nonspam,  29376 weighted)
# False negatives:     36248  3.603%  (7.841% of spam,  69539 weighted)
# Average score for spam:  17.0    nonspam: -2.5
# Average for false-pos:   6.3  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1304 2433 0 0 0
Adapt (over, cross, repeat): 1 9 1738
Performance: 2.494 iterations/s, iteration no. 3000

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543160  53.993%  (99.900% of non-spam corpus)
# Correctly spam:     426024  42.349%  (92.159% of spam corpus)
# False positives:       544  0.054%  (0.100% of nonspam,  29333 weighted)
# False negatives:     36248  3.603%  (7.841% of spam,  69539 weighted)
# Average score for spam:  17.0    nonspam: -2.5
# Average for false-pos:   6.3  false-neg: 1.9
# TOTAL:              1005976  100.00%

Iter #     Field      Value
3000       Best       1.179082e+05
           Average    1.179610e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1319 3532 0 0 0
Adapt (over, cross, repeat): 0 15 2824
Performance: 2.102 iterations/s, iteration no. 3050

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543160  53.993%  (99.900% of non-spam corpus)
# Correctly spam:     426016  42.349%  (92.157% of spam corpus)
# False positives:       544  0.054%  (0.100% of nonspam,  29333 weighted)
# False negatives:     36256  3.604%  (7.843% of spam,  69579 weighted)
# Average score for spam:  17.0    nonspam: -2.5
# Average for false-pos:   6.3  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1255 1723 0 0 0
Adapt (over, cross, repeat): 0 4 1053
Performance: 3.016 iterations/s, iteration no. 3100

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543160  53.993%  (99.900% of non-spam corpus)
# Correctly spam:     426016  42.349%  (92.157% of spam corpus)
# False positives:       544  0.054%  (0.100% of nonspam,  29333 weighted)
# False negatives:     36256  3.604%  (7.843% of spam,  69579 weighted)
# Average score for spam:  17.0    nonspam: -2.5
# Average for false-pos:   6.3  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1367 5724 0 0 0
Adapt (over, cross, repeat): 1 2 4993
Performance: 1.589 iterations/s, iteration no. 3150

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543160  53.993%  (99.900% of non-spam corpus)
# Correctly spam:     426016  42.349%  (92.157% of spam corpus)
# False positives:       544  0.054%  (0.100% of nonspam,  29333 weighted)
# False negatives:     36256  3.604%  (7.843% of spam,  69579 weighted)
# Average score for spam:  17.1    nonspam: -2.5
# Average for false-pos:   6.3  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1266 682 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 4.031 iterations/s, iteration no. 3200

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543160  53.993%  (99.900% of non-spam corpus)
# Correctly spam:     426016  42.349%  (92.157% of spam corpus)
# False positives:       544  0.054%  (0.100% of nonspam,  29333 weighted)
# False negatives:     36256  3.604%  (7.843% of spam,  69579 weighted)
# Average score for spam:  17.1    nonspam: -2.5
# Average for false-pos:   6.3  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1320 5557 0 0 0
Adapt (over, cross, repeat): 0 0 4852
Performance: 1.576 iterations/s, iteration no. 3250

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543160  53.993%  (99.900% of non-spam corpus)
# Correctly spam:     426016  42.349%  (92.157% of spam corpus)
# False positives:       544  0.054%  (0.100% of nonspam,  29333 weighted)
# False negatives:     36256  3.604%  (7.843% of spam,  69579 weighted)
# Average score for spam:  17.1    nonspam: -2.5
# Average for false-pos:   6.3  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1374 2932 0 0 0
Adapt (over, cross, repeat): 0 2 2201
Performance: 2.286 iterations/s, iteration no. 3300

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543160  53.993%  (99.900% of non-spam corpus)
# Correctly spam:     426016  42.349%  (92.157% of spam corpus)
# False positives:       544  0.054%  (0.100% of nonspam,  29333 weighted)
# False negatives:     36256  3.604%  (7.843% of spam,  69579 weighted)
# Average score for spam:  17.1    nonspam: -2.5
# Average for false-pos:   6.3  false-neg: 1.9
# TOTAL:              1005976  100.00%

Iter #     Field      Value
3300       Best       1.179081e+05
           Average    1.179164e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1273 3368 0 0 0
Adapt (over, cross, repeat): 1 9 2686
Performance: 2.165 iterations/s, iteration no. 3350

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543187  53.996%  (99.905% of non-spam corpus)
# Correctly spam:     426014  42.348%  (92.157% of spam corpus)
# False positives:       517  0.051%  (0.095% of nonspam,  28185 weighted)
# False negatives:     36258  3.604%  (7.843% of spam,  69589 weighted)
# Average score for spam:  17.1    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1280 4683 0 0 0
Adapt (over, cross, repeat): 0 0 3999
Performance: 1.775 iterations/s, iteration no. 3400

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543186  53.996%  (99.905% of non-spam corpus)
# Correctly spam:     426014  42.348%  (92.157% of spam corpus)
# False positives:       518  0.051%  (0.095% of nonspam,  28228 weighted)
# False negatives:     36258  3.604%  (7.843% of spam,  69589 weighted)
# Average score for spam:  17.1    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1263 681 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 3.765 iterations/s, iteration no. 3450

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543186  53.996%  (99.905% of non-spam corpus)
# Correctly spam:     426014  42.348%  (92.157% of spam corpus)
# False positives:       518  0.051%  (0.095% of nonspam,  28228 weighted)
# False negatives:     36258  3.604%  (7.843% of spam,  69589 weighted)
# Average score for spam:  17.1    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1309 1890 0 0 0
Adapt (over, cross, repeat): 0 1 1181
Performance: 2.776 iterations/s, iteration no. 3500

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543186  53.996%  (99.905% of non-spam corpus)
# Correctly spam:     426014  42.348%  (92.157% of spam corpus)
# False positives:       518  0.051%  (0.095% of nonspam,  28228 weighted)
# False negatives:     36258  3.604%  (7.843% of spam,  69589 weighted)
# Average score for spam:  17.0    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1191 3727 0 0 0
Adapt (over, cross, repeat): 0 0 3088
Performance: 2.052 iterations/s, iteration no. 3550

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543186  53.996%  (99.905% of non-spam corpus)
# Correctly spam:     426014  42.348%  (92.157% of spam corpus)
# False positives:       518  0.051%  (0.095% of nonspam,  28228 weighted)
# False negatives:     36258  3.604%  (7.843% of spam,  69589 weighted)
# Average score for spam:  17.1    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1345 3429 0 0 0
Adapt (over, cross, repeat): 0 0 2709
Performance: 2.087 iterations/s, iteration no. 3600

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543186  53.996%  (99.905% of non-spam corpus)
# Correctly spam:     426014  42.348%  (92.157% of spam corpus)
# False positives:       518  0.051%  (0.095% of nonspam,  28228 weighted)
# False negatives:     36258  3.604%  (7.843% of spam,  69589 weighted)
# Average score for spam:  17.1    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

Iter #     Field      Value
3600       Best       1.179079e+05
           Average    1.179240e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1190 2711 0 0 0
Adapt (over, cross, repeat): 0 5 2070
Performance: 2.448 iterations/s, iteration no. 3650

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543187  53.996%  (99.905% of non-spam corpus)
# Correctly spam:     426052  42.352%  (92.165% of spam corpus)
# False positives:       517  0.051%  (0.095% of nonspam,  28184 weighted)
# False negatives:     36220  3.600%  (7.835% of spam,  69399 weighted)
# Average score for spam:  17.1    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1247 1848 0 0 0
Adapt (over, cross, repeat): 0 2 1174
Performance: 3.013 iterations/s, iteration no. 3700

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543186  53.996%  (99.905% of non-spam corpus)
# Correctly spam:     426052  42.352%  (92.165% of spam corpus)
# False positives:       518  0.051%  (0.095% of nonspam,  28226 weighted)
# False negatives:     36220  3.600%  (7.835% of spam,  69399 weighted)
# Average score for spam:  17.1    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1270 2410 0 0 0
Adapt (over, cross, repeat): 1 0 1738
Performance: 2.630 iterations/s, iteration no. 3750

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543186  53.996%  (99.905% of non-spam corpus)
# Correctly spam:     426052  42.352%  (92.165% of spam corpus)
# False positives:       518  0.051%  (0.095% of nonspam,  28226 weighted)
# False negatives:     36220  3.600%  (7.835% of spam,  69399 weighted)
# Average score for spam:  17.1    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1287 1259 0 0 0
Adapt (over, cross, repeat): 0 1 561
Performance: 3.345 iterations/s, iteration no. 3800

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543186  53.996%  (99.905% of non-spam corpus)
# Correctly spam:     426052  42.352%  (92.165% of spam corpus)
# False positives:       518  0.051%  (0.095% of nonspam,  28226 weighted)
# False negatives:     36220  3.600%  (7.835% of spam,  69399 weighted)
# Average score for spam:  17.1    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1254 3613 0 0 0
Adapt (over, cross, repeat): 0 0 2934
Performance: 2.135 iterations/s, iteration no. 3850

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543186  53.996%  (99.905% of non-spam corpus)
# Correctly spam:     426052  42.352%  (92.165% of spam corpus)
# False positives:       518  0.051%  (0.095% of nonspam,  28226 weighted)
# False negatives:     36220  3.600%  (7.835% of spam,  69399 weighted)
# Average score for spam:  17.1    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1425 1811 0 0 0
Adapt (over, cross, repeat): 0 6 1040
Performance: 2.998 iterations/s, iteration no. 3900

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543186  53.996%  (99.905% of non-spam corpus)
# Correctly spam:     426052  42.352%  (92.165% of spam corpus)
# False positives:       518  0.051%  (0.095% of nonspam,  28226 weighted)
# False negatives:     36220  3.600%  (7.835% of spam,  69399 weighted)
# Average score for spam:  17.1    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

Iter #     Field      Value
3900       Best       1.179064e+05
           Average    1.179402e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1261 1624 0 0 0
Adapt (over, cross, repeat): 2 7 940
Performance: 3.142 iterations/s, iteration no. 3950

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543184  53.996%  (99.904% of non-spam corpus)
# Correctly spam:     426052  42.352%  (92.165% of spam corpus)
# False positives:       520  0.052%  (0.096% of nonspam,  28312 weighted)
# False negatives:     36220  3.600%  (7.835% of spam,  69400 weighted)
# Average score for spam:  17.1    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1271 1443 0 0 0
Adapt (over, cross, repeat): 0 1 758
Performance: 3.188 iterations/s, iteration no. 4000

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543185  53.996%  (99.905% of non-spam corpus)
# Correctly spam:     426052  42.352%  (92.165% of spam corpus)
# False positives:       519  0.052%  (0.095% of nonspam,  28269 weighted)
# False negatives:     36220  3.600%  (7.835% of spam,  69400 weighted)
# Average score for spam:  17.1    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1337 2105 0 0 0
Adapt (over, cross, repeat): 0 4 1378
Performance: 2.804 iterations/s, iteration no. 4050

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543185  53.996%  (99.905% of non-spam corpus)
# Correctly spam:     426052  42.352%  (92.165% of spam corpus)
# False positives:       519  0.052%  (0.095% of nonspam,  28269 weighted)
# False negatives:     36220  3.600%  (7.835% of spam,  69400 weighted)
# Average score for spam:  17.1    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1178 2654 0 0 0
Adapt (over, cross, repeat): 1 1 2018
Performance: 2.542 iterations/s, iteration no. 4100

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543185  53.996%  (99.905% of non-spam corpus)
# Correctly spam:     426052  42.352%  (92.165% of spam corpus)
# False positives:       519  0.052%  (0.095% of nonspam,  28269 weighted)
# False negatives:     36220  3.600%  (7.835% of spam,  69400 weighted)
# Average score for spam:  17.1    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1256 677 0 0 0
Adapt (over, cross, repeat): 1 2 1
Performance: 3.985 iterations/s, iteration no. 4150

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543185  53.996%  (99.905% of non-spam corpus)
# Correctly spam:     426052  42.352%  (92.165% of spam corpus)
# False positives:       519  0.052%  (0.095% of nonspam,  28269 weighted)
# False negatives:     36220  3.600%  (7.835% of spam,  69400 weighted)
# Average score for spam:  17.1    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1342 3229 0 0 0
Adapt (over, cross, repeat): 0 1 2505
Performance: 2.278 iterations/s, iteration no. 4200

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543185  53.996%  (99.905% of non-spam corpus)
# Correctly spam:     426052  42.352%  (92.165% of spam corpus)
# False positives:       519  0.052%  (0.095% of nonspam,  28269 weighted)
# False negatives:     36220  3.600%  (7.835% of spam,  69400 weighted)
# Average score for spam:  17.0    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

Iter #     Field      Value
4200       Best       1.179056e+05
           Average    1.179139e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1223 4103 0 0 0
Adapt (over, cross, repeat): 1 1 3436
Performance: 1.984 iterations/s, iteration no. 4250

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543185  53.996%  (99.905% of non-spam corpus)
# Correctly spam:     426052  42.352%  (92.165% of spam corpus)
# False positives:       519  0.052%  (0.095% of nonspam,  28269 weighted)
# False negatives:     36220  3.600%  (7.835% of spam,  69400 weighted)
# Average score for spam:  17.1    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1224 2990 0 0 0
Adapt (over, cross, repeat): 0 0 2309
Performance: 2.358 iterations/s, iteration no. 4300

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543185  53.996%  (99.905% of non-spam corpus)
# Correctly spam:     426052  42.352%  (92.165% of spam corpus)
# False positives:       519  0.052%  (0.095% of nonspam,  28269 weighted)
# False negatives:     36220  3.600%  (7.835% of spam,  69400 weighted)
# Average score for spam:  17.1    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1279 2877 0 0 0
Adapt (over, cross, repeat): 0 3 2184
Performance: 2.359 iterations/s, iteration no. 4350

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543185  53.996%  (99.905% of non-spam corpus)
# Correctly spam:     426052  42.352%  (92.165% of spam corpus)
# False positives:       519  0.052%  (0.095% of nonspam,  28269 weighted)
# False negatives:     36220  3.600%  (7.835% of spam,  69400 weighted)
# Average score for spam:  17.1    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1279 2055 0 0 0
Adapt (over, cross, repeat): 0 0 1366
Performance: 2.742 iterations/s, iteration no. 4400

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543184  53.996%  (99.904% of non-spam corpus)
# Correctly spam:     426052  42.352%  (92.165% of spam corpus)
# False positives:       520  0.052%  (0.096% of nonspam,  28312 weighted)
# False negatives:     36220  3.600%  (7.835% of spam,  69401 weighted)
# Average score for spam:  17.1    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1290 3750 0 0 0
Adapt (over, cross, repeat): 0 0 3046
Performance: 2.069 iterations/s, iteration no. 4450

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543184  53.996%  (99.904% of non-spam corpus)
# Correctly spam:     426052  42.352%  (92.165% of spam corpus)
# False positives:       520  0.052%  (0.096% of nonspam,  28312 weighted)
# False negatives:     36220  3.600%  (7.835% of spam,  69401 weighted)
# Average score for spam:  17.1    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1393 3919 0 0 0
Adapt (over, cross, repeat): 0 1 3153
Performance: 2.013 iterations/s, iteration no. 4500

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543184  53.996%  (99.904% of non-spam corpus)
# Correctly spam:     426052  42.352%  (92.165% of spam corpus)
# False positives:       520  0.052%  (0.096% of nonspam,  28312 weighted)
# False negatives:     36220  3.600%  (7.835% of spam,  69401 weighted)
# Average score for spam:  17.1    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

Iter #     Field      Value
4500       Best       1.179049e+05
           Average    1.179210e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1268 683 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 3.957 iterations/s, iteration no. 4550

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543184  53.996%  (99.904% of non-spam corpus)
# Correctly spam:     426052  42.352%  (92.165% of spam corpus)
# False positives:       520  0.052%  (0.096% of nonspam,  28312 weighted)
# False negatives:     36220  3.600%  (7.835% of spam,  69401 weighted)
# Average score for spam:  17.1    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1193 1880 0 0 0
Adapt (over, cross, repeat): 0 0 1232
Performance: 2.982 iterations/s, iteration no. 4600

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543184  53.996%  (99.904% of non-spam corpus)
# Correctly spam:     426052  42.352%  (92.165% of spam corpus)
# False positives:       520  0.052%  (0.096% of nonspam,  28312 weighted)
# False negatives:     36220  3.600%  (7.835% of spam,  69401 weighted)
# Average score for spam:  17.1    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1218 2098 0 0 0
Adapt (over, cross, repeat): 1 2 1429
Performance: 2.865 iterations/s, iteration no. 4650

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543185  53.996%  (99.905% of non-spam corpus)
# Correctly spam:     426052  42.352%  (92.165% of spam corpus)
# False positives:       519  0.052%  (0.095% of nonspam,  28268 weighted)
# False negatives:     36220  3.600%  (7.835% of spam,  69400 weighted)
# Average score for spam:  17.0    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1193 3408 0 0 0
Adapt (over, cross, repeat): 1 2 2756
Performance: 2.250 iterations/s, iteration no. 4700

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543185  53.996%  (99.905% of non-spam corpus)
# Correctly spam:     426052  42.352%  (92.165% of spam corpus)
# False positives:       519  0.052%  (0.095% of nonspam,  28268 weighted)
# False negatives:     36220  3.600%  (7.835% of spam,  69400 weighted)
# Average score for spam:  17.0    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1246 679 0 0 0
Adapt (over, cross, repeat): 0 1 0
Performance: 3.850 iterations/s, iteration no. 4750

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543185  53.996%  (99.905% of non-spam corpus)
# Correctly spam:     426052  42.352%  (92.165% of spam corpus)
# False positives:       519  0.052%  (0.095% of nonspam,  28268 weighted)
# False negatives:     36220  3.600%  (7.835% of spam,  69400 weighted)
# Average score for spam:  17.0    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1250 4407 0 0 0
Adapt (over, cross, repeat): 0 4 3720
Performance: 1.880 iterations/s, iteration no. 4800

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543185  53.996%  (99.905% of non-spam corpus)
# Correctly spam:     426052  42.352%  (92.165% of spam corpus)
# False positives:       519  0.052%  (0.095% of nonspam,  28269 weighted)
# False negatives:     36220  3.600%  (7.835% of spam,  69401 weighted)
# Average score for spam:  17.0    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

Iter #     Field      Value
4800       Best       1.179041e+05
           Average    1.179138e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1325 3703 0 0 0
Adapt (over, cross, repeat): 0 0 2981
Performance: 2.120 iterations/s, iteration no. 4850

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543185  53.996%  (99.905% of non-spam corpus)
# Correctly spam:     426052  42.352%  (92.165% of spam corpus)
# False positives:       519  0.052%  (0.095% of nonspam,  28269 weighted)
# False negatives:     36220  3.600%  (7.835% of spam,  69401 weighted)
# Average score for spam:  17.0    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1231 3269 0 0 0
Adapt (over, cross, repeat): 1 6 2589
Performance: 2.298 iterations/s, iteration no. 4900

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543187  53.996%  (99.905% of non-spam corpus)
# Correctly spam:     426052  42.352%  (92.165% of spam corpus)
# False positives:       517  0.051%  (0.095% of nonspam,  28180 weighted)
# False negatives:     36220  3.600%  (7.835% of spam,  69398 weighted)
# Average score for spam:  17.0    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1278 1331 0 0 0
Adapt (over, cross, repeat): 1 2 630
Performance: 3.361 iterations/s, iteration no. 4950

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543187  53.996%  (99.905% of non-spam corpus)
# Correctly spam:     426052  42.352%  (92.165% of spam corpus)
# False positives:       517  0.051%  (0.095% of nonspam,  28180 weighted)
# False negatives:     36220  3.600%  (7.835% of spam,  69398 weighted)
# Average score for spam:  17.0    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1292 4577 0 0 0
Adapt (over, cross, repeat): 4 2 3868
Performance: 1.839 iterations/s, iteration no. 5000

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543187  53.996%  (99.905% of non-spam corpus)
# Correctly spam:     426052  42.352%  (92.165% of spam corpus)
# False positives:       517  0.051%  (0.095% of nonspam,  28180 weighted)
# False negatives:     36220  3.600%  (7.835% of spam,  69398 weighted)
# Average score for spam:  17.0    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1188 4168 0 0 0
Adapt (over, cross, repeat): 0 5 3520
Performance: 1.940 iterations/s, iteration no. 5050

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543191  53.996%  (99.906% of non-spam corpus)
# Correctly spam:     426052  42.352%  (92.165% of spam corpus)
# False positives:       513  0.051%  (0.094% of nonspam,  28010 weighted)
# False negatives:     36220  3.600%  (7.835% of spam,  69398 weighted)
# Average score for spam:  17.1    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1199 1202 0 0 0
Adapt (over, cross, repeat): 0 2 543
Performance: 3.490 iterations/s, iteration no. 5100

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543191  53.996%  (99.906% of non-spam corpus)
# Correctly spam:     426052  42.352%  (92.165% of spam corpus)
# False positives:       513  0.051%  (0.094% of nonspam,  28010 weighted)
# False negatives:     36220  3.600%  (7.835% of spam,  69398 weighted)
# Average score for spam:  17.1    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

Iter #     Field      Value
5100       Best       1.179038e+05
           Average    1.179275e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1314 3622 0 0 0
Adapt (over, cross, repeat): 0 3 2898
Performance: 2.090 iterations/s, iteration no. 5150

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543191  53.996%  (99.906% of non-spam corpus)
# Correctly spam:     426052  42.352%  (92.165% of spam corpus)
# False positives:       513  0.051%  (0.094% of nonspam,  28010 weighted)
# False negatives:     36220  3.600%  (7.835% of spam,  69398 weighted)
# Average score for spam:  17.1    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1231 678 0 0 0
Adapt (over, cross, repeat): 1 0 1
Performance: 3.995 iterations/s, iteration no. 5200

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543191  53.996%  (99.906% of non-spam corpus)
# Correctly spam:     426052  42.352%  (92.165% of spam corpus)
# False positives:       513  0.051%  (0.094% of nonspam,  28010 weighted)
# False negatives:     36220  3.600%  (7.835% of spam,  69398 weighted)
# Average score for spam:  17.1    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1241 2345 0 0 0
Adapt (over, cross, repeat): 0 5 1660
Performance: 2.734 iterations/s, iteration no. 5250

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543174  53.995%  (99.903% of non-spam corpus)
# Correctly spam:     426052  42.352%  (92.165% of spam corpus)
# False positives:       530  0.053%  (0.097% of nonspam,  28733 weighted)
# False negatives:     36220  3.600%  (7.835% of spam,  69398 weighted)
# Average score for spam:  17.1    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1279 2801 0 0 0
Adapt (over, cross, repeat): 0 4 2101
Performance: 2.393 iterations/s, iteration no. 5300

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543191  53.996%  (99.906% of non-spam corpus)
# Correctly spam:     426052  42.352%  (92.165% of spam corpus)
# False positives:       513  0.051%  (0.094% of nonspam,  28009 weighted)
# False negatives:     36220  3.600%  (7.835% of spam,  69397 weighted)
# Average score for spam:  17.1    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1304 2950 0 0 0
Adapt (over, cross, repeat): 0 6 2236
Performance: 2.383 iterations/s, iteration no. 5350

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543191  53.996%  (99.906% of non-spam corpus)
# Correctly spam:     426052  42.352%  (92.165% of spam corpus)
# False positives:       513  0.051%  (0.094% of nonspam,  28009 weighted)
# False negatives:     36220  3.600%  (7.835% of spam,  69397 weighted)
# Average score for spam:  17.1    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1138 3746 0 0 0
Adapt (over, cross, repeat): 1 0 3124
Performance: 2.096 iterations/s, iteration no. 5400

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543190  53.996%  (99.905% of non-spam corpus)
# Correctly spam:     426052  42.352%  (92.165% of spam corpus)
# False positives:       514  0.051%  (0.095% of nonspam,  28052 weighted)
# False negatives:     36220  3.600%  (7.835% of spam,  69397 weighted)
# Average score for spam:  17.1    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

Iter #     Field      Value
5400       Best       1.179036e+05
           Average    1.179926e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1290 1332 0 0 0
Adapt (over, cross, repeat): 0 0 626
Performance: 3.310 iterations/s, iteration no. 5450

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543190  53.996%  (99.905% of non-spam corpus)
# Correctly spam:     426052  42.352%  (92.165% of spam corpus)
# False positives:       514  0.051%  (0.095% of nonspam,  28052 weighted)
# False negatives:     36220  3.600%  (7.835% of spam,  69398 weighted)
# Average score for spam:  17.1    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1342 2233 0 0 0
Adapt (over, cross, repeat): 2 3 1498
Performance: 2.675 iterations/s, iteration no. 5500

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543190  53.996%  (99.905% of non-spam corpus)
# Correctly spam:     426052  42.352%  (92.165% of spam corpus)
# False positives:       514  0.051%  (0.095% of nonspam,  28052 weighted)
# False negatives:     36220  3.600%  (7.835% of spam,  69398 weighted)
# Average score for spam:  17.1    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

The Best Evaluation: 1.179035e+05.
The Best String:

# SUMMARY for threshold 5.0:
# Correctly non-spam: 543190  53.996%  (99.905% of non-spam corpus)
# Correctly spam:     426052  42.352%  (92.165% of spam corpus)
# False positives:       514  0.051%  (0.095% of nonspam,  28052 weighted)
# False negatives:     36220  3.600%  (7.835% of spam,  69398 weighted)
# Average score for spam:  17.1    nonspam: -2.5
# Average for false-pos:   6.4  false-neg: 1.9
# TOTAL:              1005976  100.00%

score AC_DIV_BONANZA                 0.001
score AC_FROM_MANY_DOTS              3.000
score ADMITS_SPAM                    2.222
score ADVANCE_FEE_2_NEW_MONEY        1.999
score ADVANCE_FEE_3_NEW              3.469
score ADVANCE_FEE_3_NEW_MONEY        2.152
score ADVANCE_FEE_4_NEW              2.599
score ADVANCE_FEE_4_NEW_MONEY        2.662
score ADVANCE_FEE_5_NEW_FRM_MNY      0.781
score ADVANCE_FEE_5_NEW_MONEY        1.431
score AD_PREFS                       0.499
score ALIBABA_IMG_NOT_RCVD_ALI       1.683
score AMAZON_IMG_NOT_RCVD_AMZN       2.054
score ANY_PILL_PRICE                 2.390
score AXB_XMAILER_MIMEOLE_OL_024C2   2.603
score AXB_XM_FORGED_OL2600           1.467
score AXB_X_AOL_SEZ_S                2.999
score BIGNUM_EMAILS                  0.325
score BITCOIN_DEADLINE               1.868
score BITCOIN_EXTORT_01              2.693
score BITCOIN_SPAM_01                0.396
score BITCOIN_SPAM_02                2.499
score BITCOIN_SPAM_05                0.907
score BITCOIN_SPAM_07                2.912
score BITCOIN_SPAM_08                0.740
score BITCOIN_SPAM_09                1.499
score BODY_EMPTY                     0.062
score BODY_URI_ONLY                  0.999
score BOGUS_MSM_HDRS                 1.918
score CK_HELO_DYNAMIC_SPLIT_IP       0.001
score CK_HELO_GENERIC                0.001
score DATE_IN_FUTURE_96_Q            0.482
score DEAR_BENEFICIARY               2.692
score DKIMWL_BL                      1.776
score DKIMWL_WL_HIGH                 -0.000
score DKIMWL_WL_MED                  -0.001
score DOS_OUTLOOK_TO_MX_IMAGE        1.913
score DOS_RCVD_IP_TWICE_B            1.985
score DRUGS_ERECTILE_SHORT_SHORTNER  0.357
score DUP_SUSP_HDR                   2.499
score DX_TEXT_03                     1.388
score EBAY_IMG_NOT_RCVD_EBAY         2.272
score END_FUTURE_EMAILS              1.059
score FAKE_REPLY_A1                  3.199
score FILL_THIS_FORM                 0.001
score FORGED_RELAY_MUA_TO_MX         1.628
score FORGED_SPF_HELO                0.757
score FORM_FRAUD                     0.999
score FORM_FRAUD_5                   0.001
score FOUND_YOU                      3.249
score FREEMAIL_FORGED_FROMDOMAIN     0.101
score FROMSPACE                      0.000
score FROM_2_EMAILS_SHORT            0.001
score FROM_ADDR_WS                   0.001
score FROM_FMBLA_NEWDOM              1.499
score FROM_FMBLA_NEWDOM14            0.999
score FROM_FMBLA_NEWDOM28            0.799
score FROM_GOV_DKIM_AU               -0.000
score FROM_GOV_SPOOF                 0.001
score FROM_MISSPACED                 1.999
score FROM_MISSP_DYNIP               2.799
score FROM_MISSP_EH_MATCH            1.227
score FROM_MISSP_FREEMAIL            1.252
score FROM_MISSP_MSFT                1.478
score FROM_MISSP_REPLYTO             2.499
score FROM_MISSP_SPF_FAIL            1.999
score FROM_MISSP_TO_UNDISC           0.473
score FROM_MISSP_USER                2.800
score FROM_MISSP_XPRIO               2.499
score FROM_NAME_EQ_TO_G_DRIVE        0.001
score FROM_NEWDOM_BTC                1.999
score FROM_NTLD_REPLY_FREEMAIL       1.161
score FROM_PAYPAL_SPOOF              1.530
score FROM_SUSPICIOUS_NTLD           0.500
score FROM_SUSPICIOUS_NTLD_FP        1.999
score FROM_UNBAL1                    2.499
score FSL_BULK_SIG                   0.001
score FSL_CTYPE_WIN1251              3.700
score FSL_HELO_FAKE                  3.299
score FSL_NEW_HELO_USER              1.999
score FSL_THIS_IS_ADV                0.778
score FUZZY_BITCOIN                  2.499
score FUZZY_CLICK_HERE               3.000
score FUZZY_WALLET                   2.399
score GB_BITCOIN_CP                  2.565
score GB_BITCOIN_NH                  1.906
score GB_FREEMAIL_DISPTO             0.499
score GB_FREEMAIL_DISPTO_NOTFREEM    0.499
score GB_GOOGLE_OBFU                 0.749
score GB_LINKED_IMG_NOT_RCVD_LINK    2.407
score GB_MONERO_CP                   1.362
score GOOG_REDIR_HTML_ONLY           1.999
score GOOG_REDIR_NORDNS              3.200
score HDRS_LCASE                     0.099
score HDRS_LCASE_IMGONLY             0.099
score HDR_ORDER_FTSDMCXX_DIRECT      1.293
score HDR_ORDER_FTSDMCXX_NORDNS      3.499
score HEADER_FROM_DIFFERENT_DOMAINS  0.250
score HELO_MISC_IP                   0.001
score HELO_NO_DOMAIN                 1.040
score HK_LOTTO                       0.759
score HK_NAME_MR_MRS                 1.000
score HK_RANDOM_FROM                 1.000
score HK_RANDOM_REPLYTO              1.000
score HK_RCVD_IP_MULTICAST           0.494
score HK_SCAM                        1.999
score HK_WIN                         0.999
score HOSTED_IMG_DIRECT_MX           0.623
score HOSTED_IMG_MULTI               2.009
score HTML_OFF_PAGE                  1.993
score HTML_SINGLET_MANY              2.156
score HTML_TEXT_INVISIBLE_STYLE      2.245
score IMG_ONLY_FM_DOM_INFO           2.499
score KB_FORGED_MOZ4                 0.001
score KHOP_FAKE_EBAY                 0.311
score KHOP_HELO_FCRDNS               0.399
score LIST_PRTL_SAME_USER            0.001
score LONG_HEX_URI                   1.603
score LONG_IMG_URI                   2.554
score LOTS_OF_MONEY                  0.010
score LOTTO_AGENT                    1.457
score MALFORMED_FREEMAIL             1.290
score MALF_HTML_B64                  0.986
score MALWARE_NORDNS                 2.909
score MALWARE_PASSWORD               3.380
score MAY_BE_FORGED                  0.001
score MILLION_HUNDRED                2.899
score MIMEOLE_DIRECT_TO_MX           0.460
score MIME_NO_TEXT                   1.999
score MIXED_ES                       2.399
score MONERO_EXTORT_01               2.090
score MONEY_ATM_CARD                 2.599
score MONEY_FORM                     0.336
score MONEY_FORM_SHORT               1.154
score MONEY_FRAUD_3                  2.255
score MONEY_FRAUD_5                  0.000
score MONEY_FRAUD_8                  3.071
score MONEY_FROM_41                  1.999
score MSM_PRIO_REPTO                 0.338
score NORDNS_LOW_CONTRAST            1.464
score NO_FM_NAME_IP_HOSTN            0.001
score NSL_RCVD_FROM_USER             3.403
score NSL_RCVD_HELO_USER             0.424
score NUMBERONLY_BITCOIN_EXP         0.546
score OBFU_BITCOIN                   1.972
score ONLINE_MKTG_CNSLT              2.699
score PDS_BTC_ID                     0.499
score PDS_BTC_NTLD                   1.999
score PDS_DBL_URL_ILLEGAL_CHARS      0.001
score PDS_DBL_URL_TNB_RUNON          1.532
score PDS_FRNOM_TODOM_NAKED_TO       1.499
score PDS_FROM_2_EMAILS              1.799
score PDS_FROM_NAME_TO_DOMAIN        0.999
score PDS_HELO_SPF_FAIL              1.999
score PDS_HP_HELO_NORDNS             0.001
score PDS_NAKED_TO_NUMERO            1.999
score PDS_PHPEXP_BOT                 1.499
score PDS_PHPE_URISHORTENER          1.999
score PDS_PHP_EVAL                   1.499
score PDS_TONAME_EQ_TOLOCAL_FREEM_FORGE 1.999
score PDS_TONAME_EQ_TOLOCAL_HDRS_LCASE 1.505
score PDS_TONAME_EQ_TOLOCAL_SHORT    1.999
score PDS_TONAME_EQ_TOLOCAL_VSHORT   1.000
score PDS_TO_EQ_FROM_NAME            3.055
score PDS_X_PHP_WP_EXP               1.499
score PHP_ORIG_SCRIPT                2.499
score PP_MIME_FAKE_ASCII_TEXT        0.999
score RATWARE_NO_RDNS                1.129
score RCVD_IN_MSPIKE_H2              -0.001
score RCVD_IN_MSPIKE_L3              2.652
score RCVD_IN_MSPIKE_L4              3.099
score RCVD_IN_MSPIKE_L5              2.244
score RDNS_NUM_TLD_XM                1.397
score SEO_SUSP_NTLD                  1.199
score SERGIO_SUBJECT_PORN014         3.199
score SERGIO_SUBJECT_VIAGRA01        0.001
score SHORT_BODY_G_DRIVE_DYN         0.316
score SHORT_SHORTNER                 1.999
score SINGLETS_LOW_CONTRAST          0.001
score SPOOFED_FREEMAIL               1.999
score SPOOFED_FREEMAIL_NO_RDNS       0.001
score SPOOFED_FREEM_REPTO            2.004
score STATIC_XPRIO_OLE               1.999
score STOCK_LOW_CONTRAST             2.056
score SUBJ_OBFU_PUNCT_FEW            0.749
score SUBJ_OBFU_PUNCT_MANY           1.749
score TAB_IN_FROM                    0.072
score TEQF_USR_MSGID_MALF            2.083
score THIS_AD                        1.999
score THIS_IS_ADV_SUSP_NTLD          1.473
score TONOM_EQ_TOLOC_SHRT_PSHRTNER   0.228
score TONOM_EQ_TOLOC_SHRT_SHRTNER    1.499
score TO_EQ_FM_DIRECT_MX             2.499
score TO_EQ_FM_DOM_HTML_IMG          0.001
score TO_EQ_FM_DOM_HTML_ONLY         0.666
score TO_EQ_FM_DOM_SPF_FAIL          0.881
score TO_EQ_FM_HTML_ONLY             0.621
score TO_EQ_FM_SPF_FAIL              0.699
score TO_IN_SUBJ                     0.099
score TO_NAME_SUBJ_NO_RDNS           0.799
score TO_NO_BRKTS_DYNIP              2.317
score TO_NO_BRKTS_FROM_MSSP          2.499
score TO_NO_BRKTS_HTML_IMG           0.837
score TO_NO_BRKTS_HTML_ONLY          2.000
score TO_NO_BRKTS_MSFT               2.499
score TO_NO_BRKTS_NORDNS_HTML        1.859
score TVD_IP_HEX                     2.799
score TVD_IP_SING_HEX                0.801
score TVD_SPACE_ENCODED              0.001
score TVD_SPACE_RATIO_MINFP          2.499
score UNICODE_OBFU_ASC               2.499
score UNICODE_OBFU_DOM_NO_BODY       3.750
score UPGRADE_MAILBOX                1.699
score URI_GOOGLE_PROXY               2.399
score URI_HEX_IP                     0.981
score URI_ONLY_MSGID_MALF            1.999
score URI_PHISH                      2.903
score URI_PHP_REDIR                  3.499
score URI_TRY_3LD                    0.709
score URI_WP_HACKED                  1.928
score URI_WP_HACKED_2                2.499
score XPRIO_SHORT_SUBJ               2.499
score XPRIO_URL_SHORTNER             0.255
score YOU_INHERIT                    2.360
score ACT_NOW_CAPS                   0.100
score AC_BR_BONANZA                  0.001
score AC_HTML_NONSENSE_TAGS          1.000
score AC_SPAMMY_URI_PATTERNS1        1.000
score AC_SPAMMY_URI_PATTERNS10       1.000
score AC_SPAMMY_URI_PATTERNS11       1.000
score AC_SPAMMY_URI_PATTERNS12       1.000
score AC_SPAMMY_URI_PATTERNS2        1.000
score AC_SPAMMY_URI_PATTERNS3        1.000
score AC_SPAMMY_URI_PATTERNS4        1.000
score AC_SPAMMY_URI_PATTERNS8        1.000
score AC_SPAMMY_URI_PATTERNS9        1.000
score ADVANCE_FEE_2_NEW_FORM         1.000
score ALL_TRUSTED                    -1.000
score ANY_BOUNCE_MESSAGE             0.100
score APOSTROPHE_FROM                0.786
score APP_DEVELOPMENT_FREEM          1.000
score APP_DEVELOPMENT_NORDNS         1.000
score BAD_CREDIT                     0.100
score BAD_ENC_HEADER                 0.001
score BANG_GUAR                      1.000
score BANKING_LAWS                   2.004
score BASE64_LENGTH_78_79            0.100
score BASE64_LENGTH_79_INF           2.019
score BILLION_DOLLARS                1.451
score BITCOIN_BOMB                   1.000
score BITCOIN_MALWARE                1.000
score BITCOIN_PAY_ME                 1.000
score BITCOIN_SPAM_03                1.000
score BITCOIN_SPAM_04                1.000
score BITCOIN_SPAM_06                1.000
score BITCOIN_SPAM_10                1.000
score BITCOIN_SPAM_11                1.000
score BITCOIN_SPAM_12                1.000
score BITCOIN_SPF_ONLYALL            1.000
score BODY_8BITS                     1.500
score BODY_ENHANCEMENT               1.611
score BODY_ENHANCEMENT2              0.100
score BOGUS_MIME_VERSION             1.000
score BOMB_FREEM                     1.000
score BOMB_MONEY                     1.000
score BOUNCE_MESSAGE                 0.100
score BTC_ORG                        1.000
score BUG6152_INVALID_DATE_TZ_ABSURD 0.100
score BULK_RE_SUSP_NTLD              1.000
score CANT_SEE_AD                    1.000
score CHALLENGE_RESPONSE             0.100
score CHARSET_FARAWAY                3.200
score CHARSET_FARAWAY_HEADER         3.200
score COMMENT_GIBBERISH              1.000
score COMPENSATION                   1.000
score CRBOUNCE_MESSAGE               0.100
score CTYPE_001C_B                   0.001
score CURR_PRICE                     0.001
score DATE_IN_FUTURE_03_06           2.426
score DATE_IN_FUTURE_06_12           0.001
score DATE_IN_FUTURE_12_24           2.489
score DATE_IN_FUTURE_24_48           1.248
score DATE_IN_FUTURE_48_96           0.813
score DATE_IN_PAST_03_06             1.076
score DATE_IN_PAST_06_12             1.103
score DATE_IN_PAST_12_24             0.804
score DATE_IN_PAST_24_48             0.485
score DATE_IN_PAST_96_XX             2.070
score DAY_I_EARNED                   1.000
score DCC_CHECK                      1.100
score DCC_REPUT_00_12                -0.800
score DCC_REPUT_13_19                -0.100
score DCC_REPUT_70_89                0.100
score DCC_REPUT_90_94                0.400
score DCC_REPUT_95_98                0.700
score DCC_REPUT_99_100               1.200
score DC_GIF_UNO_LARGO               1.323
score DC_IMAGE_SPAM_HTML             0.100
score DC_IMAGE_SPAM_TEXT             0.100
score DC_PNG_UNO_LARGO               0.001
score DEAR_FRIEND                    2.604
score DEAR_SOMETHING                 1.731
score DEAR_WINNER                    3.099
score DIGEST_MULTIPLE                0.001
score DKIMWL_BLOCKED                 0.001
score DKIMWL_WL_MEDHI                -1.000
score DKIM_ADSP_ALL                  1.100
score DKIM_ADSP_CUSTOM_HIGH          0.001
score DKIM_ADSP_CUSTOM_LOW           0.001
score DKIM_ADSP_CUSTOM_MED           0.001
score DKIM_ADSP_DISCARD              1.800
score DKIM_ADSP_NXDOMAIN             0.800
score DKIM_INVALID                   0.100
score DKIM_SIGNED                    0.100
score DKIM_VALID                     -0.100
score DKIM_VALID_AU                  -0.100
score DKIM_VALID_EF                  -0.100
score DOS_OE_TO_MX                   3.086
score DOS_OE_TO_MX_IMAGE             1.886
score DOS_OUTLOOK_TO_MX              1.449
score DOS_RCVD_IP_TWICE_C            2.060
score DOS_STOCK_BAT                  0.001
score DRUGS_ANXIETY                  0.100
score DRUGS_DIET                     0.757
score DRUGS_ERECTILE                 2.221
score DRUGS_ERECTILE_OBFU            1.309
score DRUGS_MANYKINDS                1.473
score DRUGS_MUSCLE                   2.499
score DRUGS_SMEAR1                   2.051
score DRUG_ED_CAPS                   1.023
score DRUG_ED_ONLINE                 1.152
score DRUG_ED_SILD                   0.001
score DYN_RDNS_AND_INLINE_IMAGE      1.344
score DYN_RDNS_SHORT_HELO_HTML       0.001
score DYN_RDNS_SHORT_HELO_IMAGE      2.516
score EMPTY_MESSAGE                  2.344
score EM_ROLEX                       1.309
score ENCRYPTED_MESSAGE              -1.000
score ENGLISH_UCE_SUBJECT            1.542
score ENV_AND_HDR_SPF_MATCH          -0.500
score EXCUSE_4                       1.687
score EXCUSE_REMOVE                  2.992
score FAKE_REPLY_C                   0.001
score FBI_MONEY                      1.000
score FBI_SPOOF                      1.000
score FILL_THIS_FORM_FRAUD_PHISH     0.396
score FILL_THIS_FORM_LOAN            2.237
score FILL_THIS_FORM_LONG            3.476
score FIN_FREE                       0.100
score FORGED_HOTMAIL_RCVD2           1.187
score FORGED_MSGID_EXCITE            1.899
score FORGED_MSGID_YAHOO             0.100
score FORGED_MUA_EUDORA              2.510
score FORGED_MUA_IMS                 2.399
score FORGED_MUA_MOZILLA             1.596
score FORGED_MUA_OIMO                2.599
score FORGED_MUA_OUTLOOK             2.785
score FORGED_MUA_THEBAT_BOUN         3.220
score FORGED_OUTLOOK_HTML            0.001
score FORGED_OUTLOOK_TAGS            0.565
score FORGED_TELESP_RCVD             2.499
score FORGED_YAHOO_RCVD              1.022
score FORM_LOW_CONTRAST              1.000
score FREEMAIL_ENVFROM_END_DIGIT     0.250
score FREEMAIL_FORGED_REPLYTO        2.503
score FREEMAIL_FROM                  0.001
score FREEMAIL_REPLY                 1.000
score FREEMAIL_REPLYTO               1.000
score FREEMAIL_REPLYTO_END_DIGIT     0.250
score FREEM_FRNUM_UNICD_EMPTY        1.000
score FREE_QUOTE_INSTANT             2.699
score FRNAME_IN_MSG_XPRIO_NO_SUB     1.000
score FROM_BANK_NOAUTH               1.000
score FROM_BLANK_NAME                2.099
score FROM_DOMAIN_NOVOWEL            0.500
score FROM_EXCESS_BASE64             0.001
score FROM_FMBLA_NDBLOCKED           0.001
score FROM_GOV_REPLYTO_FREEMAIL      1.000
score FROM_ILLEGAL_CHARS             2.059
score FROM_LOCAL_DIGITS              0.001
score FROM_LOCAL_HEX                 0.331
score FROM_LOCAL_NOVOWEL             0.500
score FROM_NO_USER                   2.599
score FROM_NTLD_LINKBAIT             1.000
score FROM_NUMBERO_NEWDOMAIN         1.000
score FROM_NUMERIC_TLD               1.000
score FROM_STARTS_WITH_NUMS          0.553
score FROM_WORDY                     1.000
score FROM_WORDY_SHORT               1.000
score FSL_FAKE_HOTMAIL_RVCD          1.816
score FSL_HELO_BARE_IP_1             1.426
score FSL_HELO_DEVICE                0.100
score FSL_HELO_NON_FQDN_1            0.001
score FSL_INTERIA_ABUSE              2.664
score FUZZY_CPILL                    0.001
score FUZZY_CREDIT                   1.413
score FUZZY_MILLION                  0.100
score FUZZY_PHARMACY                 3.299
score FUZZY_PHENT                    1.647
score FUZZY_PRICES                   0.720
score FUZZY_VPILL                    0.494
score FUZZY_XPILL                    0.100
score GAPPY_SALES_LEADS_FREEM        1.000
score GAPPY_SUBJECT                  0.100
score GB_FORGED_MUA_POSTFIX          1.000
score GOOGLE_DOCS_PHISH              1.000
score GOOGLE_DOCS_PHISH_MANY         1.000
score GOOGLE_DRIVE_REPLY_BAD_NTLD    1.000
score GOOG_MALWARE_DNLD              1.000
score GTUBE                          1000.000
score GUARANTEED_100_PERCENT         2.699
score HDRS_MISSP                     1.000
score HEADER_SPAM                    2.499
score HELO_DYNAMIC_CHELLO_NL         1.918
score HELO_DYNAMIC_DHCP              0.841
score HELO_DYNAMIC_DIALIN            3.233
score HELO_DYNAMIC_HCC               2.514
score HELO_DYNAMIC_HEXIP             0.511
score HELO_DYNAMIC_HOME_NL           1.530
score HELO_DYNAMIC_IPADDR            3.243
score HELO_DYNAMIC_IPADDR2           3.888
score HELO_DYNAMIC_SPLIT_IP          2.893
score HELO_LOCALHOST                 3.603
score HELO_OEM                       2.899
score HELO_STATIC_HOST               -0.001
score HEXHASH_WORD                   1.000
score HIDE_WIN_STATUS                0.001
score HK_NAME_DRUGS                  0.001
score HK_RANDOM_ENVFROM              0.626
score HOSTED_IMG_DQ_UNSUB            1.000
score HOSTED_IMG_FREEM               1.000
score HTML_CHARSET_FARAWAY           0.500
score HTML_COMMENT_SAVED_URL         0.357
score HTML_EMBEDS                    0.001
score HTML_ENTITY_ASCII              1.000
score HTML_ENTITY_ASCII_TINY         1.000
score HTML_EXTRA_CLOSE               0.001
score HTML_FONT_FACE_BAD             0.001
score HTML_FONT_LOW_CONTRAST         0.001
score HTML_FONT_SIZE_HUGE            0.001
score HTML_FONT_SIZE_LARGE           0.001
score HTML_IMAGE_ONLY_04             0.342
score HTML_IMAGE_ONLY_08             1.781
score HTML_IMAGE_ONLY_12             1.629
score HTML_IMAGE_ONLY_16             1.048
score HTML_IMAGE_ONLY_20             0.700
score HTML_IMAGE_ONLY_24             1.282
score HTML_IMAGE_ONLY_28             0.726
score HTML_IMAGE_ONLY_32             0.001
score HTML_IMAGE_RATIO_02            0.001
score HTML_IMAGE_RATIO_04            0.001
score HTML_IMAGE_RATIO_06            0.001
score HTML_IMAGE_RATIO_08            0.001
score HTML_MESSAGE                   0.001
score HTML_MIME_NO_HTML_TAG          0.635
score HTML_NONELEMENT_30_40          0.001
score HTML_OBFUSCATE_05_10           0.001
score HTML_OBFUSCATE_10_20           1.162
score HTML_OBFUSCATE_20_30           2.441
score HTML_OBFUSCATE_90_100          2.000
score HTML_SHORT_CENTER              3.421
score HTML_SHORT_LINK_IMG_1          0.139
score HTML_SHORT_LINK_IMG_2          0.259
score HTML_SHORT_LINK_IMG_3          0.328
score HTML_SHRT_CMNT_OBFU_MANY       1.000
score HTML_TAG_BALANCE_BODY          0.100
score HTML_TEXT_INVISIBLE_FONT       1.000
score HTML_TITLE_SUBJ_DIFF           2.171
score HTTPS_HTTP_MISMATCH            0.100
score HTTP_ESCAPED_HOST              0.100
score HTTP_EXCESSIVE_ESCAPES         0.001
score IMPOTENCE                      2.144
score INVALID_DATE                   0.432
score INVALID_DATE_TZ_ABSURD         0.632
score INVALID_MSGID                  1.167
score INVESTMENT_ADVICE              0.100
score IP_LINK_PLUS                   0.001
score JOIN_MILLIONS                  0.100
score KB_DATE_CONTAINS_TAB           3.799
score KB_FAKED_THE_BAT               3.441
score KB_RATWARE_MSGID               2.987
score KB_RATWARE_OUTLOOK_MID         4.400
score LIST_PARTIAL_SHORT_MSG         1.000
score LIST_PRTL_PUMPDUMP             1.000
score LIVEFILESTORE                  0.100
score LOCALPART_IN_SUBJECT           0.730
score LONGWORDS                      1.844
score LONG_TERM_PRICE                0.001
score LOTTERY_1                      1.488
score LOTTERY_PH_004470              0.100
score LOW_PRICE                      0.100
score LUCRATIVE                      1.000
score L_SPAM_TOOL_13                 0.485
score MALE_ENHANCE                   3.099
score MANY_HDRS_LCASE                0.100
score MARKETING_PARTNERS             0.235
score MICROSOFT_EXECUTABLE           0.100
score MIMEPART_LIMIT_EXCEEDED        0.001
score MIME_BASE64_TEXT               0.001
score MIME_BOUND_DD_DIGITS           0.349
score MIME_BOUND_DIGITS_15           0.100
score MIME_CHARSET_FARAWAY           2.450
score MIME_HEADER_CTYPE_ONLY         0.100
score MIME_HTML_MOSTLY               0.100
score MIME_HTML_ONLY                 0.100
score MIME_HTML_ONLY_MULTI           0.001
score MIME_PHP_NO_TEXT               2.799
score MIME_QP_LONG_LINE              0.001
score MIME_SUSPECT_NAME              0.100
score MISSING_DATE                   1.396
score MISSING_HEADERS                1.207
score MISSING_MID                    0.140
score MISSING_MIMEOLE                1.843
score MISSING_MIME_HB_SEP            0.001
score MISSING_SUBJECT                1.767
score MONEY_BACK                     2.486
score MORE_SEX                       2.765
score MPART_ALT_DIFF                 0.724
score MPART_ALT_DIFF_COUNT           1.483
score MSGID_FROM_MTA_HEADER          0.001
score MSGID_OUTLOOK_INVALID          3.899
score MSGID_RANDY                    2.599
score MSGID_SHORT                    0.337
score MSGID_SPAM_CAPS                1.997
score MSGID_YAHOO_CAPS               1.413
score MSOE_MID_WRONG_CASE            3.373
score NEWEGG_IMG_NOT_RCVD_NEGG       1.000
score NML_ADSP_CUSTOM_HIGH           2.600
score NML_ADSP_CUSTOM_LOW            0.700
score NML_ADSP_CUSTOM_MED            1.200
score NORMAL_HTTP_TO_IP              0.001
score NO_DNS_FOR_FROM                0.379
score NO_HEADERS_MESSAGE             0.001
score NO_MEDICAL                     1.254
score NO_PRESCRIPTION                1.102
score NO_RDNS_DOTCOM_HELO            0.433
score NO_RECEIVED                    -0.001
score NO_RELAYS                      -0.001
score NULL_IN_BODY                   0.498
score NUMERIC_HTTP_ADDR              0.001
score ONE_TIME                       1.175
score ONLINE_PHARMACY                2.371
score OOOBOUNCE_MESSAGE              0.100
score PART_CID_STOCK                 0.001
score PART_CID_STOCK_LESS            0.036
score PDS_PHPE_SHORT_URL             1.000
score PDS_X_PHP_WELLKNOWN            1.000
score PERCENT_RANDOM                 2.837
score PHOTO_EDITING_DIRECT           1.000
score PHOTO_EDITING_FREEM            1.000
score PHP_NOVER_MUA                  1.000
score PHP_SCRIPT_MUA                 1.000
score PLING_QUERY                    0.100
score PP_TOO_MUCH_UNICODE02          0.500
score PP_TOO_MUCH_UNICODE05          1.000
score PRICES_ARE_AFFORDABLE          0.851
score PUMPDUMP                       1.000
score PUMPDUMP_MULTI                 1.000
score PYZOR_CHECK                    1.985
score RAND_HEADER_MANY               1.000
score RATWARE_EFROM                  0.100
score RATWARE_EGROUPS                1.258
score RATWARE_MPOP_WEBMAIL           1.338
score RATWARE_MS_HASH                3.692
score RATWARE_NAME_ID                0.309
score RATWARE_OUTLOOK_NONAME         0.033
score RATWARE_ZERO_TZ                2.535
score RAZOR2_CF_RANGE_51_100         2.430
score RAZOR2_CHECK                   1.729
score RCVD_DOUBLE_IP_LOOSE           0.960
score RCVD_DOUBLE_IP_SPAM            2.777
score RCVD_FAKE_HELO_DOTCOM          2.389
score RCVD_HELO_IP_MISMATCH          1.186
score RCVD_ILLEGAL_IP                1.300
score RCVD_IN_BL_SPAMCOP_NET         1.246
score RCVD_IN_DNSWL_BLOCKED          0.001
score RCVD_IN_DNSWL_HI               -5.000
score RCVD_IN_DNSWL_LOW              -0.700
score RCVD_IN_DNSWL_MED              -2.300
score RCVD_IN_DNSWL_NONE             -0.000
score RCVD_IN_IADB_DK                -0.223
score RCVD_IN_IADB_DOPTIN            -4.000
score RCVD_IN_IADB_DOPTIN_LT50       -0.001
score RCVD_IN_IADB_LISTED            -0.380
score RCVD_IN_IADB_MI_CPR_MAT        -0.332
score RCVD_IN_IADB_ML_DOPTIN         -6.000
score RCVD_IN_IADB_OPTIN             -2.057
score RCVD_IN_IADB_OPTIN_GT50        -1.208
score RCVD_IN_IADB_RDNS              -0.167
score RCVD_IN_IADB_SENDERID          -0.001
score RCVD_IN_IADB_SPF               -0.001
score RCVD_IN_IADB_UT_CPR_MAT        -0.095
score RCVD_IN_IADB_VOUCHED           -2.200
score RCVD_IN_MSPIKE_BL              0.010
score RCVD_IN_MSPIKE_H3              -0.010
score RCVD_IN_MSPIKE_H4              -0.010
score RCVD_IN_MSPIKE_H5              -1.000
score RCVD_IN_MSPIKE_WL              -0.010
score RCVD_IN_PBL                    3.558
score RCVD_IN_PSBL                   2.700
score RCVD_IN_RP_CERTIFIED           -3.000
score RCVD_IN_RP_RNBL                1.284
score RCVD_IN_RP_SAFE                -2.000
score RCVD_IN_SBL                    2.596
score RCVD_IN_SBL_CSS                3.558
score RCVD_IN_SORBS_DUL              0.001
score RCVD_IN_SORBS_HTTP             2.499
score RCVD_IN_SORBS_SOCKS            2.443
score RCVD_IN_SORBS_WEB              1.500
score RCVD_IN_XBL                    0.724
score RCVD_IN_ZEN_BLOCKED            0.001
score RCVD_IN_ZEN_BLOCKED_OPENDNS    0.001
score RDNS_DYNAMIC                   0.363
score RDNS_LOCALHOST                 0.969
score RDNS_NONE                      1.274
score RDNS_NUM_TLD_ATCHNX            1.000
score REMOVE_BEFORE_LINK             0.100
score REPLICA_WATCH                  3.164
score REPLYTO_WITHOUT_TO_CC          1.946
score REPTO_QUOTE_YAHOO              0.490
score SB_GIF_AND_NO_URIS             2.199
score SHOPIFY_IMG_NOT_RCVD_SFY       1.000
score SHORT_HELO_AND_INLINE_IMAGE    0.100
score SHORT_IMG_SUSP_NTLD            1.000
score SHORT_TERM_PRICE               0.001
score SORTED_RECIPS                  2.474
score SPAMMY_XMAILER                 0.862
score SPF_FAIL                       0.919
score SPF_HELO_FAIL                  0.001
score SPF_HELO_NEUTRAL               0.001
score SPF_HELO_NONE                  0.001
score SPF_HELO_PASS                  -0.001
score SPF_HELO_SOFTFAIL              0.896
score SPF_NEUTRAL                    0.652
score SPF_NONE                       0.001
score SPF_PASS                       -0.001
score SPF_SOFTFAIL                   0.972
score SPOOFED_FREEM_REPTO_CHN        1.000
score SPOOFED_FREEM_REPTO_RUS        1.000
score SPOOF_COM2COM                  0.001
score SPOOF_COM2OTH                  0.001
score STOCK_IMG_CTYPE                0.005
score STOCK_IMG_HDR_FROM             0.001
score STOCK_IMG_HTML                 0.028
score STOCK_IMG_OUTLOOK              0.702
score STOCK_TIP                      1.000
score STOX_REPLY_TYPE                0.212
score STOX_REPLY_TYPE_WITHOUT_QUOTES 1.860
score SUBJECT_DIET                   1.563
score SUBJECT_DRUG_GAP_C             0.989
score SUBJECT_DRUG_GAP_L             2.304
score SUBJECT_FUZZY_CHEAP            1.831
score SUBJECT_IN_BLACKLIST           100.000
score SUBJECT_IN_WHITELIST           -100.000
score SUBJECT_NEEDS_ENCODING         0.100
score SUBJ_ALL_CAPS                  0.500
score SUBJ_AS_SEEN                   3.099
score SUBJ_BUY                       1.498
score SUBJ_DOLLARS                   0.100
score SUBJ_ILLEGAL_CHARS             1.105
score SUBJ_YOUR_FAMILY               2.999
score SUSPICIOUS_RECIPS              2.497
score SUSPNTLD_EXPIRATION_EXTORT     1.000
score SYSADMIN                       1.000
score TBIRD_SUSP_MIME_BDRY           2.400
score TEQF_USR_POLITE                1.000
score THEBAT_UNREG                   1.843
score TO_MALFORMED                   0.100
score TO_NO_BRKTS_PCNT               1.000
score TRACKER_ID                     0.100
score TT_MSGID_TRUNC                 0.023
score TVD_FINGER_02                  0.001
score TVD_FW_GRAPHIC_NAME_LONG       0.648
score TVD_FW_GRAPHIC_NAME_MID        0.001
score TVD_INCREASE_SIZE              0.601
score TVD_PH_BODY_ACCOUNTS_PRE       0.001
score TVD_PH_REC                     0.100
score TVD_PH_SEC                     0.100
score TVD_QUAL_MEDS                  2.397
score TVD_RCVD_IP                    0.001
score TVD_RCVD_IP4                   0.001
score TVD_RCVD_SPACE_BRACKET         0.001
score TVD_SPACE_RATIO                0.001
score TVD_SUBJ_ACC_NUM               0.100
score TVD_SUBJ_WIPE_DEBT             2.291
score TVD_VISIT_PHARMA               1.196
score TW_GIBBERISH_MANY              1.000
score UC_GIBBERISH_OBFU              1.000
score UNCLAIMED_MONEY                2.699
score UNCLOSED_BRACKET               1.329
score UNICODE_OBFU_ZW                1.000
score UNPARSEABLE_RELAY              0.001
score UNRESOLVED_TEMPLATE            0.716
score UNWANTED_LANGUAGE_BODY         2.800
score UPPERCASE_50_75                0.791
score UPPERCASE_75_100               1.189
score URG_BIZ                        0.941
score URIBL_ABUSE_SURBL              1.948
score URIBL_BLACK                    1.700
score URIBL_BLOCKED                  0.001
score URIBL_CR_SURBL                 1.263
score URIBL_CSS                      0.100
score URIBL_CSS_A                    0.100
score URIBL_DBL_ABUSE_BOTCC          2.500
score URIBL_DBL_ABUSE_MALW           2.500
score URIBL_DBL_ABUSE_PHISH          2.500
score URIBL_DBL_ABUSE_REDIR          0.001
score URIBL_DBL_ABUSE_SPAM           2.000
score URIBL_DBL_BLOCKED              0.001
score URIBL_DBL_BLOCKED_OPENDNS      0.001
score URIBL_DBL_BOTNETCC             2.500
score URIBL_DBL_ERROR                0.001
score URIBL_DBL_MALWARE              2.500
score URIBL_DBL_PHISH                2.500
score URIBL_DBL_SPAM                 2.500
score URIBL_GREY                     1.084
score URIBL_MW_SURBL                 1.263
score URIBL_PH_SURBL                 0.001
score URIBL_RED                      0.001
score URIBL_RHS_DOB                  0.276
score URIBL_SBL                      0.644
score URIBL_SBL_A                    0.100
score URIBL_WS_SURBL                 1.659
score URIBL_ZEN_BLOCKED              0.001
score URIBL_ZEN_BLOCKED_OPENDNS      0.001
score URI_DATA                       1.000
score URI_HEX                        0.100
score URI_HOST_IN_BLACKLIST          100.000
score URI_HOST_IN_WHITELIST          -100.000
score URI_IMG_WP_REDIR               1.000
score URI_NOVOWEL                    0.500
score URI_OPTOUT_3LD                 1.000
score URI_TRUNCATED                  0.001
score URI_WP_DIRINDEX                1.000
score USB_DRIVES                     1.000
score USER_IN_ALL_SPAM_TO            -100.000
score USER_IN_BLACKLIST              100.000
score USER_IN_BLACKLIST_TO           10.000
score USER_IN_DEF_DKIM_WL            -7.500
score USER_IN_DEF_SPF_WL             -7.500
score USER_IN_DEF_WHITELIST          -15.000
score USER_IN_DKIM_WHITELIST         -100.000
score USER_IN_MORE_SPAM_TO           -20.000
score USER_IN_SPF_WHITELIST          -100.000
score USER_IN_WHITELIST              -100.000
score USER_IN_WHITELIST_TO           -6.000
score VBOUNCE_MESSAGE                0.100
score VPS_NO_NTLD                    1.000
score WALMART_IMG_NOT_RCVD_WAL       1.000
score WEIRD_PORT                     0.001
score WEIRD_QUOTING                  0.001
score XPRIO                          1.000
score X_IP                           0.001
score X_MAILER_CME_6543_MSN          2.004


1542.90user 0.26system 25:44.20elapsed 99%CPU (0avgtext+0avgdata 11848maxresident)k
208inputs+7920outputs (1major+2550minor)pagefaults 0swaps
+ date
Thu Nov  7 04:04:48 UTC 2019
+ mv garescorer.scores gen-set1-10-5.0-5500-ga/scores
+ echo [gen run end]
+ cp orig_scores.cf tmprules/50_scores.cf
[gen run end]
+ perl ./rewrite-cf-with-new-scores --scoreset 1 --old-scores tmprules/50_scores.cf --new-scores gen-set1-10-5.0-5500-ga/scores --cffile tmprules
fix meta dep: __GMD_PDF_DIMS depends on GMD_PDF_VERT with 0 score, fixing at non-0
fix meta dep: __GMD_PDF_DIMS depends on GMD_PDF_HORIZ with 0 score, fixing at non-0
fix meta dep: __GMD_PDF_DIMS depends on GMD_PDF_SQUARE with 0 score, fixing at non-0
fix meta dep: FORGED_MUA_EUDORA depends on MAILING_LIST_MULTI with 0 score, fixing at non-0
fix meta dep: __GMD_PDF_PRODUCERS depends on GMD_PRODUCER_GPL with 0 score, fixing at non-0
fix meta dep: __GMD_PDF_PRODUCERS depends on GMD_PRODUCER_POWERPDF with 0 score, fixing at non-0
fix meta dep: __GMD_PDF_PRODUCERS depends on GMD_PRODUCER_EASYPDF with 0 score, fixing at non-0
fix meta dep: __AC_FROM_MANY_DOTS_MINFP depends on FORGED_GMAIL_RCVD with 0 score, fixing at non-0
AC_BR_BONANZA does not have a default score
AC_DIV_BONANZA does not have a default score
AC_FROM_MANY_DOTS does not have a default score
AC_HTML_NONSENSE_TAGS does not have a default score
AC_SPAMMY_URI_PATTERNS1 does not have a default score
AC_SPAMMY_URI_PATTERNS10 does not have a default score
AC_SPAMMY_URI_PATTERNS11 does not have a default score
AC_SPAMMY_URI_PATTERNS12 does not have a default score
AC_SPAMMY_URI_PATTERNS2 does not have a default score
AC_SPAMMY_URI_PATTERNS3 does not have a default score
AC_SPAMMY_URI_PATTERNS4 does not have a default score
AC_SPAMMY_URI_PATTERNS8 does not have a default score
AC_SPAMMY_URI_PATTERNS9 does not have a default score
ADMAIL does not have a default score
ADMITS_SPAM does not have a default score
ADVANCE_FEE_2_NEW_FORM does not have a default score
ADVANCE_FEE_2_NEW_MONEY does not have a default score
ADVANCE_FEE_3_NEW does not have a default score
ADVANCE_FEE_3_NEW_FORM does not have a default score
ADVANCE_FEE_3_NEW_MONEY does not have a default score
ADVANCE_FEE_4_NEW does not have a default score
ADVANCE_FEE_4_NEW_FRM_MNY does not have a default score
ADVANCE_FEE_4_NEW_MONEY does not have a default score
ADVANCE_FEE_5_NEW does not have a default score
ADVANCE_FEE_5_NEW_FRM_MNY does not have a default score
ADVANCE_FEE_5_NEW_MONEY does not have a default score
AD_PREFS does not have a default score
ALIBABA_IMG_NOT_RCVD_ALI does not have a default score
AMAZON_IMG_NOT_RCVD_AMZN does not have a default score
ANY_PILL_PRICE does not have a default score
APP_DEVELOPMENT_FREEM does not have a default score
APP_DEVELOPMENT_NORDNS does not have a default score
AXB_XMAILER_MIMEOLE_OL_024C2 does not have a default score
AXB_XMAILER_MIMEOLE_OL_1ECD5 does not have a default score
AXB_XM_FORGED_OL2600 does not have a default score
AXB_X_AOL_SEZ_S does not have a default score
BIGNUM_EMAILS does not have a default score
BITCOIN_BOMB does not have a default score
BITCOIN_DEADLINE does not have a default score
BITCOIN_EXTORT_01 does not have a default score
BITCOIN_MALWARE does not have a default score
BITCOIN_PAY_ME does not have a default score
BITCOIN_SPAM_01 does not have a default score
BITCOIN_SPAM_02 does not have a default score
BITCOIN_SPAM_03 does not have a default score
BITCOIN_SPAM_04 does not have a default score
BITCOIN_SPAM_05 does not have a default score
BITCOIN_SPAM_06 does not have a default score
BITCOIN_SPAM_07 does not have a default score
BITCOIN_SPAM_08 does not have a default score
BITCOIN_SPAM_09 does not have a default score
BITCOIN_SPAM_10 does not have a default score
BITCOIN_SPAM_11 does not have a default score
BITCOIN_SPAM_12 does not have a default score
BITCOIN_SPF_ONLYALL does not have a default score
BODY_EMPTY does not have a default score
BODY_URI_ONLY does not have a default score
BOGUS_MIME_VERSION does not have a default score
BOGUS_MSM_HDRS does not have a default score
BOMB_FREEM does not have a default score
BOMB_MONEY does not have a default score
BTC_ORG does not have a default score
BULK_RE_SUSP_NTLD does not have a default score
CANT_SEE_AD does not have a default score
CK_HELO_DYNAMIC_SPLIT_IP does not have a default score
CK_HELO_GENERIC does not have a default score
CN_B2B_SPAMMER does not have a default score
COMMENT_GIBBERISH does not have a default score
COMPENSATION does not have a default score
CTYPE_NULL does not have a default score
DATE_IN_FUTURE_96_Q does not have a default score
DAY_I_EARNED does not have a default score
DEAR_BENEFICIARY does not have a default score
DKIMWL_BL does not have a default score
DKIMWL_BLOCKED does not have a default score
DKIMWL_WL_HIGH does not have a default score
DKIMWL_WL_MED does not have a default score
DKIMWL_WL_MEDHI does not have a default score
DOS_DEREK_AUG08 does not have a default score
DOS_OUTLOOK_TO_MX_IMAGE does not have a default score
DOS_RCVD_IP_TWICE_B does not have a default score
DRUGS_ERECTILE_SHORT_SHORTNER does not have a default score
DUP_SUSP_HDR does not have a default score
DX_TEXT_02 does not have a default score
DX_TEXT_03 does not have a default score
EBAY_IMG_NOT_RCVD_EBAY does not have a default score
ENCRYPTED_MESSAGE does not have a default score
END_FUTURE_EMAILS does not have a default score
EXCUSE_24 does not have a default score
FAKE_REPLY_A1 does not have a default score
FBI_MONEY does not have a default score
FBI_SPOOF does not have a default score
FILL_THIS_FORM does not have a default score
FORGED_GMAIL_RCVD does not have a default score
FORGED_RELAY_MUA_TO_MX does not have a default score
FORGED_SPF_HELO does not have a default score
FORM_FRAUD does not have a default score
FORM_FRAUD_3 does not have a default score
FORM_FRAUD_5 does not have a default score
FORM_LOW_CONTRAST does not have a default score
FOUND_YOU does not have a default score
FREEMAIL_FORGED_FROMDOMAIN does not have a default score
FREEM_FRNUM_UNICD_EMPTY does not have a default score
FRNAME_IN_MSG_XPRIO_NO_SUB does not have a default score
FROMSPACE does not have a default score
FROM_2_EMAILS_SHORT does not have a default score
FROM_ADDR_WS does not have a default score
FROM_BANK_NOAUTH does not have a default score
FROM_FMBLA_NDBLOCKED does not have a default score
FROM_FMBLA_NEWDOM does not have a default score
FROM_FMBLA_NEWDOM14 does not have a default score
FROM_FMBLA_NEWDOM28 does not have a default score
FROM_GOV_DKIM_AU does not have a default score
FROM_GOV_REPLYTO_FREEMAIL does not have a default score
FROM_GOV_SPOOF does not have a default score
FROM_IN_TO_AND_SUBJ does not have a default score
FROM_MISSPACED does not have a default score
FROM_MISSP_DYNIP does not have a default score
FROM_MISSP_EH_MATCH does not have a default score
FROM_MISSP_FREEMAIL does not have a default score
FROM_MISSP_MSFT does not have a default score
FROM_MISSP_REPLYTO does not have a default score
FROM_MISSP_SPF_FAIL does not have a default score
FROM_MISSP_TO_UNDISC does not have a default score
FROM_MISSP_USER does not have a default score
FROM_MISSP_XPRIO does not have a default score
FROM_NAME_EQ_TO_G_DRIVE does not have a default score
FROM_NEWDOM_BTC does not have a default score
FROM_NTLD_LINKBAIT does not have a default score
FROM_NTLD_REPLY_FREEMAIL does not have a default score
FROM_NUMBERO_NEWDOMAIN does not have a default score
FROM_NUMERIC_TLD does not have a default score
FROM_OFFERS does not have a default score
FROM_PAYPAL_SPOOF does not have a default score
FROM_SUSPICIOUS_NTLD does not have a default score
FROM_SUSPICIOUS_NTLD_FP does not have a default score
FROM_UNBAL1 does not have a default score
FROM_WEBSITE does not have a default score
FROM_WORDY does not have a default score
FROM_WORDY_SHORT does not have a default score
FROM_WSP_TRAIL does not have a default score
FSL_BULK_SIG does not have a default score
FSL_CTYPE_WIN1251 does not have a default score
FSL_HELO_FAKE does not have a default score
FSL_NEW_HELO_USER does not have a default score
FSL_THIS_IS_ADV does not have a default score
FUZZY_ANDROID does not have a default score
FUZZY_BITCOIN does not have a default score
FUZZY_BROWSER does not have a default score
FUZZY_BTC_WALLET does not have a default score
FUZZY_CLICK_HERE does not have a default score
FUZZY_DR_OZ does not have a default score
FUZZY_IMPORTANT does not have a default score
FUZZY_MONERO does not have a default score
FUZZY_PRIVACY does not have a default score
FUZZY_PROMOTION does not have a default score
FUZZY_SAVINGS does not have a default score
FUZZY_SECURITY does not have a default score
FUZZY_UNSUBSCRIBE does not have a default score
FUZZY_WALLET does not have a default score
GAPPY_SALES_LEADS_FREEM does not have a default score
GB_BITCOIN_CP does not have a default score
GB_BITCOIN_NH does not have a default score
GB_FORGED_MUA_POSTFIX does not have a default score
GB_FREEMAIL_DISPTO does not have a default score
GB_FREEMAIL_DISPTO_NOTFREEM does not have a default score
GB_GOOGLE_OBFU does not have a default score
GB_LINKED_IMG_NOT_RCVD_LINK does not have a default score
GB_MONERO_CP does not have a default score
GMD_PDF_EMPTY_BODY does not have a default score
GMD_PDF_ENCRYPTED does not have a default score
GMD_PDF_HORIZ does not have a default score
GMD_PDF_SQUARE does not have a default score
GMD_PDF_VERT does not have a default score
GMD_PRODUCER_EASYPDF does not have a default score
GMD_PRODUCER_GPL does not have a default score
GMD_PRODUCER_POWERPDF does not have a default score
GOOGLE_DOCS_PHISH does not have a default score
GOOGLE_DOCS_PHISH_MANY does not have a default score
GOOGLE_DRIVE_REPLY_BAD_NTLD does not have a default score
GOOG_MALWARE_DNLD does not have a default score
GOOG_REDIR_HTML_ONLY does not have a default score
GOOG_REDIR_NORDNS does not have a default score
GOOG_REDIR_SHORT does not have a default score
HDRS_LCASE does not have a default score
HDRS_LCASE_IMGONLY does not have a default score
HDRS_MISSP does not have a default score
HDR_ORDER_FTSDMCXX_DIRECT does not have a default score
HDR_ORDER_FTSDMCXX_NORDNS does not have a default score
HEADER_FROM_DIFFERENT_DOMAINS does not have a default score
HELO_MISC_IP does not have a default score
HELO_NO_DOMAIN does not have a default score
HEXHASH_WORD does not have a default score
HK_LOTTO does not have a default score
HK_NAME_MR_MRS does not have a default score
HK_RANDOM_FROM does not have a default score
HK_RANDOM_REPLYTO does not have a default score
HK_RCVD_IP_MULTICAST does not have a default score
HK_SCAM does not have a default score
HK_WIN does not have a default score
HOSTED_IMG_DIRECT_MX does not have a default score
HOSTED_IMG_DQ_UNSUB does not have a default score
HOSTED_IMG_FREEM does not have a default score
HOSTED_IMG_MULTI does not have a default score
HTML_ENTITY_ASCII does not have a default score
HTML_ENTITY_ASCII_TINY does not have a default score
HTML_OFF_PAGE does not have a default score
HTML_SHRT_CMNT_OBFU_MANY does not have a default score
HTML_SINGLET_MANY does not have a default score
HTML_TEXT_INVISIBLE_FONT does not have a default score
HTML_TEXT_INVISIBLE_STYLE does not have a default score
IMG_ONLY_FM_DOM_INFO does not have a default score
KB_FORGED_MOZ4 does not have a default score
KHOP_FAKE_EBAY does not have a default score
KHOP_HELO_FCRDNS does not have a default score
LIST_PARTIAL_SHORT_MSG does not have a default score
LIST_PRTL_PUMPDUMP does not have a default score
LIST_PRTL_SAME_USER does not have a default score
LONG_HEX_URI does not have a default score
LONG_IMG_URI does not have a default score
LOTS_OF_MONEY does not have a default score
LOTTO_AGENT does not have a default score
LUCRATIVE does not have a default score
MAILING_LIST_MULTI does not have a default score
MALFORMED_FREEMAIL does not have a default score
MALF_HTML_B64 does not have a default score
MALWARE_NORDNS does not have a default score
MALWARE_PASSWORD does not have a default score
MANY_HDRS_LCASE does not have a default score
MANY_SPAN_IN_TEXT does not have a default score
MAY_BE_FORGED does not have a default score
MILLION_HUNDRED does not have a default score
MIMEOLE_DIRECT_TO_MX does not have a default score
MIME_NO_TEXT does not have a default score
MISSING_FROM does not have a default score
MIXED_ES does not have a default score
MONERO_EXTORT_01 does not have a default score
MONEY_ATM_CARD does not have a default score
MONEY_FORM does not have a default score
MONEY_FORM_SHORT does not have a default score
MONEY_FRAUD_3 does not have a default score
MONEY_FRAUD_5 does not have a default score
MONEY_FRAUD_8 does not have a default score
MONEY_FROM_41 does not have a default score
MSGID_MULTIPLE_AT does not have a default score
MSM_PRIO_REPTO does not have a default score
NEWEGG_IMG_NOT_RCVD_NEGG does not have a default score
NORDNS_LOW_CONTRAST does not have a default score
NO_FM_NAME_IP_HOSTN does not have a default score
NSL_RCVD_FROM_USER does not have a default score
NSL_RCVD_HELO_USER does not have a default score
NUMBERONLY_BITCOIN_EXP does not have a default score
OBFU_BITCOIN does not have a default score
OBFU_JVSCR_ESC does not have a default score
OBFU_TEXT_ATTACH does not have a default score
ONLINE_MKTG_CNSLT does not have a default score
PDS_BTC_ID does not have a default score
PDS_BTC_NTLD does not have a default score
PDS_DBL_URL_ILLEGAL_CHARS does not have a default score
PDS_DBL_URL_TNB_RUNON does not have a default score
PDS_FRNOM_TODOM_NAKED_TO does not have a default score
PDS_FROM_2_EMAILS does not have a default score
PDS_FROM_NAME_TO_DOMAIN does not have a default score
PDS_HELO_SPF_FAIL does not have a default score
PDS_HP_HELO_NORDNS does not have a default score
PDS_NAKED_TO_NUMERO does not have a default score
PDS_PHPEXP_BOT does not have a default score
PDS_PHPE_SHORT_URL does not have a default score
PDS_PHPE_URISHORTENER does not have a default score
PDS_PHP_EVAL does not have a default score
PDS_TONAME_EQ_TOLOCAL_FREEM_FORGE does not have a default score
PDS_TONAME_EQ_TOLOCAL_HDRS_LCASE does not have a default score
PDS_TONAME_EQ_TOLOCAL_SHORT does not have a default score
PDS_TONAME_EQ_TOLOCAL_VSHORT does not have a default score
PDS_TO_EQ_FROM_NAME does not have a default score
PDS_X_PHP_WELLKNOWN does not have a default score
PDS_X_PHP_WP_EXP does not have a default score
PHOTO_EDITING_DIRECT does not have a default score
PHOTO_EDITING_FREEM does not have a default score
PHP_NOVER_MUA does not have a default score
PHP_ORIG_SCRIPT does not have a default score
PHP_SCRIPT_MUA does not have a default score
PP_MIME_FAKE_ASCII_TEXT does not have a default score
PP_TOO_MUCH_UNICODE02 does not have a default score
PP_TOO_MUCH_UNICODE05 does not have a default score
PUMPDUMP does not have a default score
PUMPDUMP_MULTI does not have a default score
PUMPDUMP_TIP does not have a default score
RAND_HEADER_MANY does not have a default score
RATWARE_NO_RDNS does not have a default score
RCVD_DBL_DQ does not have a default score
RCVD_IN_MSPIKE_H2 does not have a default score
RCVD_IN_MSPIKE_L2 does not have a default score
RDNS_NUM_TLD_ATCHNX does not have a default score
RDNS_NUM_TLD_XM does not have a default score
SEO_SUSP_NTLD does not have a default score
SERGIO_SUBJECT_PORN014 does not have a default score
SERGIO_SUBJECT_VIAGRA01 does not have a default score
SHOPIFY_IMG_NOT_RCVD_SFY does not have a default score
SHORT_BODY_G_DRIVE_DYN does not have a default score
SHORT_IMG_SUSP_NTLD does not have a default score
SHORT_SHORTNER does not have a default score
SINGLETS_LOW_CONTRAST does not have a default score
SPOOFED_FREEMAIL does not have a default score
SPOOFED_FREEMAIL_NO_RDNS does not have a default score
SPOOFED_FREEM_REPTO does not have a default score
SPOOFED_FREEM_REPTO_CHN does not have a default score
SPOOFED_FREEM_REPTO_RUS does not have a default score
STATIC_XPRIO_OLE does not have a default score
STOCK_LOW_CONTRAST does not have a default score
STOCK_TIP does not have a default score
SUBJ_BRKN_WORDNUMS does not have a default score
SUBJ_OBFU_PUNCT_FEW does not have a default score
SUBJ_OBFU_PUNCT_MANY does not have a default score
SUBJ_UNNEEDED_HTML does not have a default score
SURBL_BLOCKED does not have a default score
SUSPNTLD_EXPIRATION_EXTORT does not have a default score
SYSADMIN does not have a default score
TAB_IN_FROM does not have a default score
TEQF_USR_IMAGE does not have a default score
TEQF_USR_MSGID_HEX does not have a default score
TEQF_USR_MSGID_MALF does not have a default score
TEQF_USR_POLITE does not have a default score
THIS_AD does not have a default score
THIS_IS_ADV_SUSP_NTLD does not have a default score
TONOM_EQ_TOLOC_SHRT_PSHRTNER does not have a default score
TONOM_EQ_TOLOC_SHRT_SHRTNER does not have a default score
TO_EQ_FM_DIRECT_MX does not have a default score
TO_EQ_FM_DOM_HTML_IMG does not have a default score
TO_EQ_FM_DOM_HTML_ONLY does not have a default score
TO_EQ_FM_DOM_SPF_FAIL does not have a default score
TO_EQ_FM_HTML_ONLY does not have a default score
TO_EQ_FM_SPF_FAIL does not have a default score
TO_IN_SUBJ does not have a default score
TO_NAME_SUBJ_NO_RDNS does not have a default score
TO_NO_BRKTS_DYNIP does not have a default score
TO_NO_BRKTS_FROM_MSSP does not have a default score
TO_NO_BRKTS_HTML_IMG does not have a default score
TO_NO_BRKTS_HTML_ONLY does not have a default score
TO_NO_BRKTS_MSFT does not have a default score
TO_NO_BRKTS_NORDNS_HTML does not have a default score
TO_NO_BRKTS_PCNT does not have a default score
TVD_APPROVED does not have a default score
TVD_IP_HEX does not have a default score
TVD_IP_SING_HEX does not have a default score
TVD_SPACE_ENCODED does not have a default score
TVD_SPACE_RATIO_MINFP does not have a default score
TVD_SUBJ_NUM_OBFU_MINFP does not have a default score
TW_GIBBERISH_MANY does not have a default score
TXREP does not have a default score
UC_GIBBERISH_OBFU does not have a default score
UNICODE_OBFU_ASC does not have a default score
UNICODE_OBFU_DOM_NO_BODY does not have a default score
UNICODE_OBFU_ZW does not have a default score
UPGRADE_MAILBOX does not have a default score
URI_DATA does not have a default score
URI_DQ_UNSUB does not have a default score
URI_GOOGLE_PROXY does not have a default score
URI_HEX_IP does not have a default score
URI_IMG_WP_REDIR does not have a default score
URI_NO_WWW_BIZ_CGI does not have a default score
URI_NO_WWW_INFO_CGI does not have a default score
URI_ONLY_MSGID_MALF does not have a default score
URI_OPTOUT_3LD does not have a default score
URI_OPTOUT_USME does not have a default score
URI_PHISH does not have a default score
URI_PHP_REDIR does not have a default score
URI_TRY_3LD does not have a default score
URI_TRY_USME does not have a default score
URI_WPADMIN does not have a default score
URI_WP_DIRINDEX does not have a default score
URI_WP_HACKED does not have a default score
URI_WP_HACKED_2 does not have a default score
USB_DRIVES does not have a default score
VPS_NO_NTLD does not have a default score
WALMART_IMG_NOT_RCVD_WAL does not have a default score
XM_PHPMAILER_FORGED does not have a default score
XPRIO does not have a default score
XPRIO_SHORT_SUBJ does not have a default score
XPRIO_URL_SHORTNER does not have a default score
YOU_INHERIT does not have a default score
+ mv tmprules/50_newscores.cf tmprules/50_scores.cf
+ cp tmprules/50_scores.cf gen-set1-10-5.0-5500-ga/50_scores.cf
+ perl ./fp-fn-statistics --ham ham-test.log --spam spam-test.log --scoreset 1 --cffile=tmprules --fnlog gen-set1-10-5.0-5500-ga/false_negatives --fplog gen-set1-10-5.0-5500-ga/false_positives
[../build/parse-rules-for-masses -o tmp/rules_19083.pl -d "tmprules" -s 1]
Thu Nov  7 04:05:56 UTC 2019
[ generating fp-fn-statistics ]
[../build/parse-rules-for-masses -o tmp/rules_30377.pl -d "../rules-base" -s 1]
[../build/parse-rules-for-masses -o tmp/rules_30523.pl -d "../rules-base" -s 1]
Thu Nov  7 04:13:47 UTC 2019
[ extracting new scores ]
Removing scores for base release rules from newly generated scores
# Using score set 1 logs for revision 1869287 from:
# ham-net-axb-coi-bulk.r1869287.log ham-net-axb-generic.r1869287.log ham-net-axb-ham-misc.r1869287.log ham-net-darxus.r1869287.log ham-net-ena-week3.r1869287.log ham-net-ena-week4.r1869287.log ham-net-grenier.r1869287.log ham-net-hege.r1869287.log ham-net-jarif.r1869287.log ham-net-jbrooks.r1869287.log ham-net-llanga.r1869287.log ham-net-mmiroslaw-mails-ham.r1869287.log ham-net-mmiroslaw-mails-spam.r1869287.log ham-net-npiazzi.r1869287.log ham-net-pds.r1869287.log ham-net-sihde.r1869287.log ham-net-spamsponge.r1869287.log ham-net-thendrikx.r1869287.log spam-net-axb-coi-bulk.r1869287.log spam-net-axb-generic.r1869287.log spam-net-axb-ham-misc.r1869287.log spam-net-darxus.r1869287.log spam-net-ena-week3.r1869287.log spam-net-ena-week4.r1869287.log spam-net-grenier.r1869287.log spam-net-hege.r1869287.log spam-net-jarif.r1869287.log spam-net-jbrooks.r1869287.log spam-net-llanga.r1869287.log spam-net-mmiroslaw-mails-ham.r1869287.log spam-net-mmiroslaw-mails-spam.r1869287.log spam-net-npia
 zzi.r1869287.log spam-net-pds.r1869287.log spam-net-sihde.r1869287.log spam-net-spamsponge.r1869287.log spam-net-thendrikx.r1869287.log

score AC_DIV_BONANZA                 0.001
score AC_FROM_MANY_DOTS              3.000
score ADMITS_SPAM                    2.222
score ADVANCE_FEE_2_NEW_MONEY        1.999
score ADVANCE_FEE_3_NEW              3.469
score ADVANCE_FEE_3_NEW_MONEY        2.152
score ADVANCE_FEE_4_NEW              2.599
score ADVANCE_FEE_4_NEW_MONEY        2.662
score ADVANCE_FEE_5_NEW_FRM_MNY      0.781
score ADVANCE_FEE_5_NEW_MONEY        1.431
score AD_PREFS                       0.499
score ALIBABA_IMG_NOT_RCVD_ALI       1.683
score AMAZON_IMG_NOT_RCVD_AMZN       2.054
score ANY_PILL_PRICE                 2.390
score AXB_XMAILER_MIMEOLE_OL_024C2   2.603
score AXB_XM_FORGED_OL2600           1.467
score AXB_X_AOL_SEZ_S                2.999
score BIGNUM_EMAILS                  0.325
score BITCOIN_DEADLINE               1.868
score BITCOIN_EXTORT_01              2.693
score BITCOIN_SPAM_01                0.396
score BITCOIN_SPAM_02                2.499
score BITCOIN_SPAM_05                0.907
score BITCOIN_SPAM_07                2.912
score BITCOIN_SPAM_08                0.740
score BITCOIN_SPAM_09                1.499
score BODY_EMPTY                     0.062
score BODY_URI_ONLY                  0.999
score BOGUS_MSM_HDRS                 1.918
score CK_HELO_DYNAMIC_SPLIT_IP       0.001
score CK_HELO_GENERIC                0.001
score DATE_IN_FUTURE_96_Q            0.482
score DEAR_BENEFICIARY               2.692
score DKIMWL_BL                      1.776
score DKIMWL_WL_HIGH                 -0.000
score DKIMWL_WL_MED                  -0.001
score DOS_OUTLOOK_TO_MX_IMAGE        1.913
score DOS_RCVD_IP_TWICE_B            1.985
score DRUGS_ERECTILE_SHORT_SHORTNER  0.357
score DUP_SUSP_HDR                   2.499
score DX_TEXT_03                     1.388
score EBAY_IMG_NOT_RCVD_EBAY         2.272
score END_FUTURE_EMAILS              1.059
score FAKE_REPLY_A1                  3.199
score FILL_THIS_FORM                 0.001
score FORGED_RELAY_MUA_TO_MX         1.628
score FORGED_SPF_HELO                0.757
score FORM_FRAUD                     0.999
score FORM_FRAUD_5                   0.001
score FOUND_YOU                      3.249
score FREEMAIL_FORGED_FROMDOMAIN     0.101
score FROMSPACE                      0.000
score FROM_2_EMAILS_SHORT            0.001
score FROM_ADDR_WS                   0.001
score FROM_FMBLA_NEWDOM              1.499
score FROM_FMBLA_NEWDOM14            0.999
score FROM_FMBLA_NEWDOM28            0.799
score FROM_GOV_DKIM_AU               -0.000
score FROM_GOV_SPOOF                 0.001
score FROM_MISSPACED                 1.999
score FROM_MISSP_DYNIP               2.799
score FROM_MISSP_EH_MATCH            1.227
score FROM_MISSP_FREEMAIL            1.252
score FROM_MISSP_MSFT                1.478
score FROM_MISSP_REPLYTO             2.499
score FROM_MISSP_SPF_FAIL            1.999
score FROM_MISSP_TO_UNDISC           0.473
score FROM_MISSP_USER                2.800
score FROM_MISSP_XPRIO               2.499
score FROM_NAME_EQ_TO_G_DRIVE        0.001
score FROM_NEWDOM_BTC                1.999
score FROM_NTLD_REPLY_FREEMAIL       1.161
score FROM_PAYPAL_SPOOF              1.530
score FROM_SUSPICIOUS_NTLD           0.500
score FROM_SUSPICIOUS_NTLD_FP        1.999
score FROM_UNBAL1                    2.499
score FSL_BULK_SIG                   0.001
score FSL_CTYPE_WIN1251              3.700
score FSL_HELO_FAKE                  3.299
score FSL_NEW_HELO_USER              1.999
score FSL_THIS_IS_ADV                0.778
score FUZZY_BITCOIN                  2.499
score FUZZY_CLICK_HERE               3.000
score FUZZY_WALLET                   2.399
score GB_BITCOIN_CP                  2.565
score GB_BITCOIN_NH                  1.906
score GB_FREEMAIL_DISPTO             0.499
score GB_FREEMAIL_DISPTO_NOTFREEM    0.499
score GB_GOOGLE_OBFU                 0.749
score GB_LINKED_IMG_NOT_RCVD_LINK    2.279
score GB_MONERO_CP                   1.362
score GOOG_REDIR_HTML_ONLY           1.999
score GOOG_REDIR_NORDNS              3.200
score HDRS_LCASE                     0.099
score HDRS_LCASE_IMGONLY             0.099
score HDR_ORDER_FTSDMCXX_DIRECT      0.673
score HDR_ORDER_FTSDMCXX_NORDNS      3.499
score HEADER_FROM_DIFFERENT_DOMAINS  0.250
score HELO_MISC_IP                   0.001
score HELO_NO_DOMAIN                 1.040
score HK_LOTTO                       0.759
score HK_NAME_MR_MRS                 1.000
score HK_RANDOM_FROM                 1.000
score HK_RANDOM_REPLYTO              1.000
score HK_RCVD_IP_MULTICAST           0.494
score HK_SCAM                        1.999
score HK_WIN                         0.999
score HOSTED_IMG_DIRECT_MX           0.623
score HOSTED_IMG_MULTI               2.009
score HTML_OFF_PAGE                  1.993
score HTML_SINGLET_MANY              2.156
score HTML_TEXT_INVISIBLE_STYLE      2.245
score IMG_ONLY_FM_DOM_INFO           2.499
score KB_FORGED_MOZ4                 0.001
score KHOP_FAKE_EBAY                 0.311
score KHOP_HELO_FCRDNS               0.399
score LIST_PRTL_SAME_USER            0.001
score LONG_HEX_URI                   1.603
score LONG_IMG_URI                   2.554
score LOTS_OF_MONEY                  0.010
score LOTTO_AGENT                    1.457
score MALFORMED_FREEMAIL             1.290
score MALF_HTML_B64                  0.986
score MALWARE_NORDNS                 2.909
score MALWARE_PASSWORD               3.380
score MAY_BE_FORGED                  0.001
score MILLION_HUNDRED                2.899
score MIMEOLE_DIRECT_TO_MX           0.460
score MIME_NO_TEXT                   1.999
score MIXED_ES                       2.399
score MONERO_EXTORT_01               2.090
score MONEY_ATM_CARD                 2.599
score MONEY_FORM                     0.336
score MONEY_FORM_SHORT               1.154
score MONEY_FRAUD_3                  2.255
score MONEY_FRAUD_5                  0.000
score MONEY_FRAUD_8                  3.289
score MONEY_FROM_41                  1.999
score MSM_PRIO_REPTO                 0.338
score NORDNS_LOW_CONTRAST            1.464
score NO_FM_NAME_IP_HOSTN            0.001
score NSL_RCVD_FROM_USER             3.403
score NSL_RCVD_HELO_USER             0.424
score NUMBERONLY_BITCOIN_EXP         0.546
score OBFU_BITCOIN                   1.945
score ONLINE_MKTG_CNSLT              2.699
score PDS_BTC_ID                     0.499
score PDS_BTC_NTLD                   1.999
score PDS_DBL_URL_ILLEGAL_CHARS      0.001
score PDS_DBL_URL_TNB_RUNON          1.532
score PDS_FRNOM_TODOM_NAKED_TO       1.499
score PDS_FROM_2_EMAILS              1.799
score PDS_FROM_NAME_TO_DOMAIN        0.999
score PDS_HELO_SPF_FAIL              1.999
score PDS_HP_HELO_NORDNS             0.001
score PDS_NAKED_TO_NUMERO            1.999
score PDS_PHPEXP_BOT                 1.499
score PDS_PHPE_URISHORTENER          1.999
score PDS_PHP_EVAL                   1.499
score PDS_TONAME_EQ_TOLOCAL_FREEM_FORGE 1.999
score PDS_TONAME_EQ_TOLOCAL_HDRS_LCASE 1.505
score PDS_TONAME_EQ_TOLOCAL_SHORT    1.999
score PDS_TONAME_EQ_TOLOCAL_VSHORT   1.000
score PDS_TO_EQ_FROM_NAME            3.055
score PDS_X_PHP_WP_EXP               1.499
score PHP_ORIG_SCRIPT                2.499
score PP_MIME_FAKE_ASCII_TEXT        0.999
score RATWARE_NO_RDNS                1.129
score RCVD_IN_MSPIKE_H2              -0.001
score RDNS_NUM_TLD_XM                1.397
score SEO_SUSP_NTLD                  1.199
score SERGIO_SUBJECT_PORN014         3.199
score SERGIO_SUBJECT_VIAGRA01        0.001
score SHORT_BODY_G_DRIVE_DYN         0.316
score SHORT_SHORTNER                 1.999
score SINGLETS_LOW_CONTRAST          0.001
score SPOOFED_FREEMAIL               1.999
score SPOOFED_FREEMAIL_NO_RDNS       0.001
score SPOOFED_FREEM_REPTO            2.004
score STATIC_XPRIO_OLE               1.999
score STOCK_LOW_CONTRAST             2.056
score SUBJ_OBFU_PUNCT_FEW            0.749
score SUBJ_OBFU_PUNCT_MANY           1.749
score TAB_IN_FROM                    0.072
score TEQF_USR_MSGID_MALF            2.083
score THIS_AD                        1.999
score THIS_IS_ADV_SUSP_NTLD          1.473
score TONOM_EQ_TOLOC_SHRT_PSHRTNER   0.228
score TONOM_EQ_TOLOC_SHRT_SHRTNER    1.499
score TO_EQ_FM_DIRECT_MX             2.499
score TO_EQ_FM_DOM_HTML_IMG          0.001
score TO_EQ_FM_DOM_HTML_ONLY         0.666
score TO_EQ_FM_DOM_SPF_FAIL          0.881
score TO_EQ_FM_HTML_ONLY             0.621
score TO_EQ_FM_SPF_FAIL              0.699
score TO_IN_SUBJ                     0.099
score TO_NAME_SUBJ_NO_RDNS           0.799
score TO_NO_BRKTS_DYNIP              2.317
score TO_NO_BRKTS_FROM_MSSP          2.499
score TO_NO_BRKTS_HTML_IMG           0.837
score TO_NO_BRKTS_HTML_ONLY          2.000
score TO_NO_BRKTS_MSFT               2.499
score TO_NO_BRKTS_NORDNS_HTML        1.859
score TVD_IP_HEX                     2.799
score TVD_IP_SING_HEX                0.801
score TVD_SPACE_ENCODED              0.001
score TVD_SPACE_RATIO_MINFP          2.499
score UNICODE_OBFU_ASC               2.499
score UNICODE_OBFU_DOM_NO_BODY       3.750
score UPGRADE_MAILBOX                1.699
score URI_GOOGLE_PROXY               2.399
score URI_HEX_IP                     0.981
score URI_ONLY_MSGID_MALF            1.999
score URI_PHISH                      2.903
score URI_PHP_REDIR                  3.499
score URI_TRY_3LD                    0.709
score URI_WP_HACKED                  1.928
score URI_WP_HACKED_2                2.499
score XPRIO_SHORT_SUBJ               2.499
score XPRIO_URL_SHORTNER             0.255
score YOU_INHERIT                    2.360
score AC_BR_BONANZA                  0.001
score AC_HTML_NONSENSE_TAGS          1.000
score AC_SPAMMY_URI_PATTERNS1        1.000
score AC_SPAMMY_URI_PATTERNS10       1.000
score AC_SPAMMY_URI_PATTERNS11       1.000
score AC_SPAMMY_URI_PATTERNS12       1.000
score AC_SPAMMY_URI_PATTERNS2        1.000
score AC_SPAMMY_URI_PATTERNS3        1.000
score AC_SPAMMY_URI_PATTERNS4        1.000
score AC_SPAMMY_URI_PATTERNS8        1.000
score AC_SPAMMY_URI_PATTERNS9        1.000
score ADVANCE_FEE_2_NEW_FORM         1.000
score APP_DEVELOPMENT_FREEM          1.000
score APP_DEVELOPMENT_NORDNS         1.000
score BITCOIN_BOMB                   1.000
score BITCOIN_MALWARE                1.000
score BITCOIN_PAY_ME                 1.000
score BITCOIN_SPAM_03                1.000
score BITCOIN_SPAM_04                1.000
score BITCOIN_SPAM_06                1.000
score BITCOIN_SPAM_10                1.000
score BITCOIN_SPAM_11                1.000
score BITCOIN_SPAM_12                1.000
score BITCOIN_SPF_ONLYALL            1.000
score BOGUS_MIME_VERSION             1.000
score BOMB_FREEM                     1.000
score BOMB_MONEY                     1.000
score BTC_ORG                        1.000
score BULK_RE_SUSP_NTLD              1.000
score CANT_SEE_AD                    1.000
score COMMENT_GIBBERISH              1.000
score COMPENSATION                   1.000
score DAY_I_EARNED                   1.000
score DKIMWL_BLOCKED                 0.001
score DKIMWL_WL_MEDHI                -1.000
score ENCRYPTED_MESSAGE              -1.000
score FBI_MONEY                      1.000
score FBI_SPOOF                      1.000
score FORM_LOW_CONTRAST              1.000
score FREEM_FRNUM_UNICD_EMPTY        1.000
score FRNAME_IN_MSG_XPRIO_NO_SUB     1.000
score FROM_BANK_NOAUTH               1.000
score FROM_FMBLA_NDBLOCKED           0.001
score FROM_GOV_REPLYTO_FREEMAIL      1.000
score FROM_NTLD_LINKBAIT             1.000
score FROM_NUMBERO_NEWDOMAIN         1.000
score FROM_NUMERIC_TLD               1.000
score FROM_WORDY                     1.000
score FROM_WORDY_SHORT               1.000
score GAPPY_SALES_LEADS_FREEM        1.000
score GB_FORGED_MUA_POSTFIX          1.000
score GOOGLE_DOCS_PHISH              1.000
score GOOGLE_DOCS_PHISH_MANY         1.000
score GOOGLE_DRIVE_REPLY_BAD_NTLD    1.000
score GOOG_MALWARE_DNLD              1.000
score HDRS_MISSP                     1.000
score HEXHASH_WORD                   1.000
score HOSTED_IMG_DQ_UNSUB            1.000
score HOSTED_IMG_FREEM               1.000
score HTML_ENTITY_ASCII              1.000
score HTML_ENTITY_ASCII_TINY         1.000
score HTML_SHRT_CMNT_OBFU_MANY       1.000
score HTML_TEXT_INVISIBLE_FONT       1.000
score LIST_PARTIAL_SHORT_MSG         1.000
score LIST_PRTL_PUMPDUMP             1.000
score LUCRATIVE                      1.000
score MANY_HDRS_LCASE                0.100
score NEWEGG_IMG_NOT_RCVD_NEGG       1.000
score PDS_PHPE_SHORT_URL             1.000
score PDS_X_PHP_WELLKNOWN            1.000
score PHOTO_EDITING_DIRECT           1.000
score PHOTO_EDITING_FREEM            1.000
score PHP_NOVER_MUA                  1.000
score PHP_SCRIPT_MUA                 1.000
score PP_TOO_MUCH_UNICODE02          0.500
score PP_TOO_MUCH_UNICODE05          1.000
score PUMPDUMP                       1.000
score PUMPDUMP_MULTI                 1.000
score RAND_HEADER_MANY               1.000
score RDNS_NUM_TLD_ATCHNX            1.000
score SHOPIFY_IMG_NOT_RCVD_SFY       1.000
score SHORT_IMG_SUSP_NTLD            1.000
score SPOOFED_FREEM_REPTO_CHN        1.000
score SPOOFED_FREEM_REPTO_RUS        1.000
score STOCK_TIP                      1.000
score SUSPNTLD_EXPIRATION_EXTORT     1.000
score SYSADMIN                       1.000
score TEQF_USR_POLITE                1.000
score TO_NO_BRKTS_PCNT               1.000
score TW_GIBBERISH_MANY              1.000
score UC_GIBBERISH_OBFU              1.000
score UNICODE_OBFU_ZW                1.000
score URI_DATA                       1.000
score URI_IMG_WP_REDIR               1.000
score URI_OPTOUT_3LD                 1.000
score URI_WP_DIRINDEX                1.000
score USB_DRIVES                     1.000
score VPS_NO_NTLD                    1.000
score WALMART_IMG_NOT_RCVD_WAL       1.000
score XPRIO                          1.000
Thu Nov  7 04:13:47 UTC 2019
[ completed ]
/usr/local/spamassassin/automc/tmp/generate-new-scores
Thu Nov  7 04:13:47 UTC 2019
[ rsyncing logs ]
[ rsyncing logs locally ]
sending incremental file list

sent 5,123 bytes  received 12 bytes  10,270.00 bytes/sec
total size is 35,358,514,970  speedup is 6,885,786.75
Thu Nov  7 04:13:47 UTC 2019
[ selecting log files to use for scoreset 0 ]
Linked spam-axb-ham-misc.r1869386.log to corpus/usable-corpus-set0/spam-axb-ham-misc.r1869386.log
Linked spam-sihde.r1869386.log to corpus/usable-corpus-set0/spam-sihde.r1869386.log
Linked spam-giovanni-spammy.r1869386.log to corpus/usable-corpus-set0/spam-giovanni-spammy.r1869386.log
Linked ham-ena-week4.r1869440.log to corpus/usable-corpus-set0/ham-ena-week4.r1869440.log
Linked spam-mmiroslaw-mails-ham.r1869440.log to corpus/usable-corpus-set0/spam-mmiroslaw-mails-ham.r1869440.log
Linked spam-axb-generic.r1869386.log to corpus/usable-corpus-set0/spam-axb-generic.r1869386.log
Linked ham-mmiroslaw-mails-ham.r1869440.log to corpus/usable-corpus-set0/ham-mmiroslaw-mails-ham.r1869440.log
Linked spam-llanga.r1869386.log to corpus/usable-corpus-set0/spam-llanga.r1869386.log
Linked ham-giovanni-spammy.r1869440.log to corpus/usable-corpus-set0/ham-giovanni-spammy.r1869440.log
Linked spam-darxus.r1869440.log to corpus/usable-corpus-set0/spam-darxus.r1869440.log
Linked ham-npiazzi.r1869386.log to corpus/usable-corpus-set0/ham-npiazzi.r1869386.log
Linked spam-ena-week2.r1869440.log to corpus/usable-corpus-set0/spam-ena-week2.r1869440.log
Linked ham-ena-week1.r1869440.log to corpus/usable-corpus-set0/ham-ena-week1.r1869440.log
Linked ham-mmiroslaw-mails-spam.r1869440.log to corpus/usable-corpus-set0/ham-mmiroslaw-mails-spam.r1869440.log
Linked ham-sihde.r1869440.log to corpus/usable-corpus-set0/ham-sihde.r1869440.log
Linked ham-llanga.r1869386.log to corpus/usable-corpus-set0/ham-llanga.r1869386.log
Linked ham-ena-week3.r1869440.log to corpus/usable-corpus-set0/ham-ena-week3.r1869440.log
Linked spam-ena-week2.r1869386.log to corpus/usable-corpus-set0/spam-ena-week2.r1869386.log
Linked ham-axb-coi-bulk.r1869440.log to corpus/usable-corpus-set0/ham-axb-coi-bulk.r1869440.log
Linked ham-thendrikx.r1869440.log to corpus/usable-corpus-set0/ham-thendrikx.r1869440.log
Linked ham-npiazzi.r1869440.log to corpus/usable-corpus-set0/ham-npiazzi.r1869440.log
Linked ham-thendrikx.r1869386.log to corpus/usable-corpus-set0/ham-thendrikx.r1869386.log
Linked ham-darxus.r1869386.log to corpus/usable-corpus-set0/ham-darxus.r1869386.log
Linked ham-darxus.r1869440.log to corpus/usable-corpus-set0/ham-darxus.r1869440.log
Linked spam-pds.r1869440.log to corpus/usable-corpus-set0/spam-pds.r1869440.log
Linked spam-ena-week4.r1869440.log to corpus/usable-corpus-set0/spam-ena-week4.r1869440.log
Linked ham-giovanni-spammy.r1869386.log to corpus/usable-corpus-set0/ham-giovanni-spammy.r1869386.log
Linked spam-ena-week1.r1869440.log to corpus/usable-corpus-set0/spam-ena-week1.r1869440.log
Linked ham-spamsponge.r1869440.log to corpus/usable-corpus-set0/ham-spamsponge.r1869440.log
Linked ham-giovanni-ham.r1869386.log to corpus/usable-corpus-set0/ham-giovanni-ham.r1869386.log
Linked spam-thendrikx.r1869440.log to corpus/usable-corpus-set0/spam-thendrikx.r1869440.log
Linked ham-mmiroslaw-mails-ham.r1869386.log to corpus/usable-corpus-set0/ham-mmiroslaw-mails-ham.r1869386.log
Linked spam-jbrooks.r1869440.log to corpus/usable-corpus-set0/spam-jbrooks.r1869440.log
Linked ham-hege.r1869386.log to corpus/usable-corpus-set0/ham-hege.r1869386.log
Linked spam-jarif.r1869386.log to corpus/usable-corpus-set0/spam-jarif.r1869386.log
Linked spam-axb-ham-misc.r1869440.log to corpus/usable-corpus-set0/spam-axb-ham-misc.r1869440.log
Linked ham-llanga.r1869440.log to corpus/usable-corpus-set0/ham-llanga.r1869440.log
Linked spam-ena-week0.r1869440.log to corpus/usable-corpus-set0/spam-ena-week0.r1869440.log
Linked spam-jbrooks.r1869386.log to corpus/usable-corpus-set0/spam-jbrooks.r1869386.log
Linked spam-ena-week3.r1869386.log to corpus/usable-corpus-set0/spam-ena-week3.r1869386.log
Linked ham-sihde.r1869386.log to corpus/usable-corpus-set0/ham-sihde.r1869386.log
Linked ham-jbrooks.r1869386.log to corpus/usable-corpus-set0/ham-jbrooks.r1869386.log
Linked spam-mmiroslaw-mails-spam.r1869386.log to corpus/usable-corpus-set0/spam-mmiroslaw-mails-spam.r1869386.log
Linked ham-ena-week3.r1869386.log to corpus/usable-corpus-set0/ham-ena-week3.r1869386.log
Linked ham-ena-week0.r1869386.log to corpus/usable-corpus-set0/ham-ena-week0.r1869386.log
Linked spam-giovanni-ham.r1869440.log to corpus/usable-corpus-set0/spam-giovanni-ham.r1869440.log
Linked spam-giovanni-spammy.r1869440.log to corpus/usable-corpus-set0/spam-giovanni-spammy.r1869440.log
Linked spam-giovanni-spam.r1869440.log to corpus/usable-corpus-set0/spam-giovanni-spam.r1869440.log
Linked spam-thendrikx.r1869386.log to corpus/usable-corpus-set0/spam-thendrikx.r1869386.log
Linked ham-axb-ham-misc.r1869440.log to corpus/usable-corpus-set0/ham-axb-ham-misc.r1869440.log
Linked spam-giovanni-ham.r1869386.log to corpus/usable-corpus-set0/spam-giovanni-ham.r1869386.log
Linked ham-ena-week2.r1869386.log to corpus/usable-corpus-set0/ham-ena-week2.r1869386.log
Linked spam-llanga.r1869440.log to corpus/usable-corpus-set0/spam-llanga.r1869440.log
Linked spam-grenier.r1869386.log to corpus/usable-corpus-set0/spam-grenier.r1869386.log
Linked spam-spamsponge.r1869386.log to corpus/usable-corpus-set0/spam-spamsponge.r1869386.log
Linked spam-jarif.r1869440.log to corpus/usable-corpus-set0/spam-jarif.r1869440.log
Linked ham-spamsponge.r1869386.log to corpus/usable-corpus-set0/ham-spamsponge.r1869386.log
Linked ham-axb-coi-bulk.r1869386.log to corpus/usable-corpus-set0/ham-axb-coi-bulk.r1869386.log
Linked ham-mmiroslaw-mails-spam.r1869386.log to corpus/usable-corpus-set0/ham-mmiroslaw-mails-spam.r1869386.log
Linked spam-mmiroslaw-mails-spam.r1869440.log to corpus/usable-corpus-set0/spam-mmiroslaw-mails-spam.r1869440.log
Linked ham-grenier.r1869386.log to corpus/usable-corpus-set0/ham-grenier.r1869386.log
Linked ham-axb-generic.r1869386.log to corpus/usable-corpus-set0/ham-axb-generic.r1869386.log
Linked spam-hege.r1869440.log to corpus/usable-corpus-set0/spam-hege.r1869440.log
Linked ham-ena-week0.r1869440.log to corpus/usable-corpus-set0/ham-ena-week0.r1869440.log
Linked spam-ena-week3.r1869440.log to corpus/usable-corpus-set0/spam-ena-week3.r1869440.log
Linked ham-jarif.r1869386.log to corpus/usable-corpus-set0/ham-jarif.r1869386.log
Linked spam-ena-week1.r1869386.log to corpus/usable-corpus-set0/spam-ena-week1.r1869386.log
Linked spam-ena-week4.r1869386.log to corpus/usable-corpus-set0/spam-ena-week4.r1869386.log
Linked ham-hege.r1869440.log to corpus/usable-corpus-set0/ham-hege.r1869440.log
Linked spam-mmiroslaw-mails-ham.r1869386.log to corpus/usable-corpus-set0/spam-mmiroslaw-mails-ham.r1869386.log
Linked spam-ena-week0.r1869386.log to corpus/usable-corpus-set0/spam-ena-week0.r1869386.log
Linked spam-darxus.r1869386.log to corpus/usable-corpus-set0/spam-darxus.r1869386.log
Linked spam-grenier.r1869440.log to corpus/usable-corpus-set0/spam-grenier.r1869440.log
Linked ham-ena-week1.r1869386.log to corpus/usable-corpus-set0/ham-ena-week1.r1869386.log
Linked spam-npiazzi.r1869386.log to corpus/usable-corpus-set0/spam-npiazzi.r1869386.log
Linked spam-axb-coi-bulk.r1869386.log to corpus/usable-corpus-set0/spam-axb-coi-bulk.r1869386.log
Linked ham-ena-week2.r1869440.log to corpus/usable-corpus-set0/ham-ena-week2.r1869440.log
Linked spam-axb-generic.r1869440.log to corpus/usable-corpus-set0/spam-axb-generic.r1869440.log
Linked ham-ena-week4.r1869386.log to corpus/usable-corpus-set0/ham-ena-week4.r1869386.log
Linked spam-npiazzi.r1869440.log to corpus/usable-corpus-set0/spam-npiazzi.r1869440.log
Linked ham-giovanni-spam.r1869440.log to corpus/usable-corpus-set0/ham-giovanni-spam.r1869440.log
Linked ham-jarif.r1869440.log to corpus/usable-corpus-set0/ham-jarif.r1869440.log
Linked spam-sihde.r1869440.log to corpus/usable-corpus-set0/spam-sihde.r1869440.log
Linked spam-pds.r1869386.log to corpus/usable-corpus-set0/spam-pds.r1869386.log
Linked ham-axb-ham-misc.r1869386.log to corpus/usable-corpus-set0/ham-axb-ham-misc.r1869386.log
Linked ham-giovanni-spam.r1869386.log to corpus/usable-corpus-set0/ham-giovanni-spam.r1869386.log
Linked ham-pds.r1869386.log to corpus/usable-corpus-set0/ham-pds.r1869386.log
Linked spam-axb-coi-bulk.r1869440.log to corpus/usable-corpus-set0/spam-axb-coi-bulk.r1869440.log
Linked ham-grenier.r1869440.log to corpus/usable-corpus-set0/ham-grenier.r1869440.log
Linked spam-hege.r1869386.log to corpus/usable-corpus-set0/spam-hege.r1869386.log
Linked ham-axb-generic.r1869440.log to corpus/usable-corpus-set0/ham-axb-generic.r1869440.log
Linked spam-giovanni-spam.r1869386.log to corpus/usable-corpus-set0/spam-giovanni-spam.r1869386.log
Linked ham-giovanni-ham.r1869440.log to corpus/usable-corpus-set0/ham-giovanni-ham.r1869440.log
Linked ham-jbrooks.r1869440.log to corpus/usable-corpus-set0/ham-jbrooks.r1869440.log
Linked spam-spamsponge.r1869440.log to corpus/usable-corpus-set0/spam-spamsponge.r1869440.log
Linked ham-pds.r1869440.log to corpus/usable-corpus-set0/ham-pds.r1869440.log

Majority SVN revision found: 1869440

Checking corpus/usable-corpus-set0/spam-axb-ham-misc.r1869386.log for SVN 1869440...
corpus/usable-corpus-set0/spam-axb-ham-misc.r1869386.log does not meet the requirements
Checking corpus/usable-corpus-set0/spam-sihde.r1869386.log for SVN 1869440...
corpus/usable-corpus-set0/spam-sihde.r1869386.log does not meet the requirements
Checking corpus/usable-corpus-set0/spam-giovanni-spammy.r1869386.log for SVN 1869440...
corpus/usable-corpus-set0/spam-giovanni-spammy.r1869386.log does not meet the requirements
Checking corpus/usable-corpus-set0/ham-ena-week4.r1869440.log for SVN 1869440...
# SVN revision: 1869440
Checking corpus/usable-corpus-set0/spam-mmiroslaw-mails-ham.r1869440.log for SVN 1869440...
# SVN revision: 1869440
Checking corpus/usable-corpus-set0/spam-axb-generic.r1869386.log for SVN 1869440...
corpus/usable-corpus-set0/spam-axb-generic.r1869386.log does not meet the requirements
Checking corpus/usable-corpus-set0/ham-mmiroslaw-mails-ham.r1869440.log for SVN 1869440...
# SVN revision: 1869440
Checking corpus/usable-corpus-set0/spam-llanga.r1869386.log for SVN 1869440...
corpus/usable-corpus-set0/spam-llanga.r1869386.log does not meet the requirements
Checking corpus/usable-corpus-set0/ham-giovanni-spammy.r1869440.log for SVN 1869440...
# SVN revision: 1869440
Checking corpus/usable-corpus-set0/spam-darxus.r1869440.log for SVN 1869440...
# SVN revision: 1869440
Checking corpus/usable-corpus-set0/ham-npiazzi.r1869386.log for SVN 1869440...
corpus/usable-corpus-set0/ham-npiazzi.r1869386.log does not meet the requirements
Checking corpus/usable-corpus-set0/spam-ena-week2.r1869440.log for SVN 1869440...
# SVN revision: 1869440
Checking corpus/usable-corpus-set0/ham-ena-week1.r1869440.log for SVN 1869440...
# SVN revision: 1869440
Checking corpus/usable-corpus-set0/ham-mmiroslaw-mails-spam.r1869440.log for SVN 1869440...
# SVN revision: 1869440
Checking corpus/usable-corpus-set0/ham-sihde.r1869440.log for SVN 1869440...
# SVN revision: 1869440
Checking corpus/usable-corpus-set0/ham-llanga.r1869386.log for SVN 1869440...
corpus/usable-corpus-set0/ham-llanga.r1869386.log does not meet the requirements
Checking corpus/usable-corpus-set0/ham-ena-week3.r1869440.log for SVN 1869440...
# SVN revision: 1869440
Checking corpus/usable-corpus-set0/spam-ena-week2.r1869386.log for SVN 1869440...
corpus/usable-corpus-set0/spam-ena-week2.r1869386.log does not meet the requirements
Checking corpus/usable-corpus-set0/ham-axb-coi-bulk.r1869440.log for SVN 1869440...
# SVN revision: 1869440
Checking corpus/usable-corpus-set0/ham-thendrikx.r1869440.log for SVN 1869440...
# SVN revision: 1869440
Checking corpus/usable-corpus-set0/ham-npiazzi.r1869440.log for SVN 1869440...
# SVN revision: 1869440
Checking corpus/usable-corpus-set0/ham-thendrikx.r1869386.log for SVN 1869440...
corpus/usable-corpus-set0/ham-thendrikx.r1869386.log does not meet the requirements
Checking corpus/usable-corpus-set0/ham-darxus.r1869386.log for SVN 1869440...
corpus/usable-corpus-set0/ham-darxus.r1869386.log does not meet the requirements
Checking corpus/usable-corpus-set0/ham-darxus.r1869440.log for SVN 1869440...
# SVN revision: 1869440
Checking corpus/usable-corpus-set0/spam-pds.r1869440.log for SVN 1869440...
# SVN revision: 1869440
Checking corpus/usable-corpus-set0/spam-ena-week4.r1869440.log for SVN 1869440...
# SVN revision: 1869440
Checking corpus/usable-corpus-set0/ham-giovanni-spammy.r1869386.log for SVN 1869440...
corpus/usable-corpus-set0/ham-giovanni-spammy.r1869386.log does not meet the requirements
Checking corpus/usable-corpus-set0/spam-ena-week1.r1869440.log for SVN 1869440...
# SVN revision: 1869440
Checking corpus/usable-corpus-set0/ham-spamsponge.r1869440.log for SVN 1869440...
# SVN revision: 1869440
Checking corpus/usable-corpus-set0/ham-giovanni-ham.r1869386.log for SVN 1869440...
corpus/usable-corpus-set0/ham-giovanni-ham.r1869386.log does not meet the requirements
Checking corpus/usable-corpus-set0/spam-thendrikx.r1869440.log for SVN 1869440...
# SVN revision: 1869440
Checking corpus/usable-corpus-set0/ham-mmiroslaw-mails-ham.r1869386.log for SVN 1869440...
corpus/usable-corpus-set0/ham-mmiroslaw-mails-ham.r1869386.log does not meet the requirements
Checking corpus/usable-corpus-set0/spam-jbrooks.r1869440.log for SVN 1869440...
# SVN revision: 1869440
Checking corpus/usable-corpus-set0/ham-hege.r1869386.log for SVN 1869440...
corpus/usable-corpus-set0/ham-hege.r1869386.log does not meet the requirements
Checking corpus/usable-corpus-set0/spam-jarif.r1869386.log for SVN 1869440...
corpus/usable-corpus-set0/spam-jarif.r1869386.log does not meet the requirements
Checking corpus/usable-corpus-set0/spam-axb-ham-misc.r1869440.log for SVN 1869440...
# SVN revision: 1869440
Checking corpus/usable-corpus-set0/ham-llanga.r1869440.log for SVN 1869440...
# SVN revision: 1869440
Checking corpus/usable-corpus-set0/spam-ena-week0.r1869440.log for SVN 1869440...
# SVN revision: 1869440
Checking corpus/usable-corpus-set0/spam-jbrooks.r1869386.log for SVN 1869440...
corpus/usable-corpus-set0/spam-jbrooks.r1869386.log does not meet the requirements
Checking corpus/usable-corpus-set0/spam-ena-week3.r1869386.log for SVN 1869440...
corpus/usable-corpus-set0/spam-ena-week3.r1869386.log does not meet the requirements
Checking corpus/usable-corpus-set0/ham-sihde.r1869386.log for SVN 1869440...
corpus/usable-corpus-set0/ham-sihde.r1869386.log does not meet the requirements
Checking corpus/usable-corpus-set0/ham-jbrooks.r1869386.log for SVN 1869440...
corpus/usable-corpus-set0/ham-jbrooks.r1869386.log does not meet the requirements
Checking corpus/usable-corpus-set0/spam-mmiroslaw-mails-spam.r1869386.log for SVN 1869440...
corpus/usable-corpus-set0/spam-mmiroslaw-mails-spam.r1869386.log does not meet the requirements
Checking corpus/usable-corpus-set0/ham-ena-week3.r1869386.log for SVN 1869440...
corpus/usable-corpus-set0/ham-ena-week3.r1869386.log does not meet the requirements
Checking corpus/usable-corpus-set0/ham-ena-week0.r1869386.log for SVN 1869440...
corpus/usable-corpus-set0/ham-ena-week0.r1869386.log does not meet the requirements
Checking corpus/usable-corpus-set0/spam-giovanni-ham.r1869440.log for SVN 1869440...
# SVN revision: 1869440
Checking corpus/usable-corpus-set0/spam-giovanni-spammy.r1869440.log for SVN 1869440...
# SVN revision: 1869440
Checking corpus/usable-corpus-set0/spam-giovanni-spam.r1869440.log for SVN 1869440...
# SVN revision: 1869440
Checking corpus/usable-corpus-set0/spam-thendrikx.r1869386.log for SVN 1869440...
corpus/usable-corpus-set0/spam-thendrikx.r1869386.log does not meet the requirements
Checking corpus/usable-corpus-set0/ham-axb-ham-misc.r1869440.log for SVN 1869440...
# SVN revision: 1869440
Checking corpus/usable-corpus-set0/spam-giovanni-ham.r1869386.log for SVN 1869440...
corpus/usable-corpus-set0/spam-giovanni-ham.r1869386.log does not meet the requirements
Checking corpus/usable-corpus-set0/ham-ena-week2.r1869386.log for SVN 1869440...
corpus/usable-corpus-set0/ham-ena-week2.r1869386.log does not meet the requirements
Checking corpus/usable-corpus-set0/spam-llanga.r1869440.log for SVN 1869440...
# SVN revision: 1869440
Checking corpus/usable-corpus-set0/spam-grenier.r1869386.log for SVN 1869440...
corpus/usable-corpus-set0/spam-grenier.r1869386.log does not meet the requirements
Checking corpus/usable-corpus-set0/spam-spamsponge.r1869386.log for SVN 1869440...
corpus/usable-corpus-set0/spam-spamsponge.r1869386.log does not meet the requirements
Checking corpus/usable-corpus-set0/spam-jarif.r1869440.log for SVN 1869440...
# SVN revision: 1869440
Checking corpus/usable-corpus-set0/ham-spamsponge.r1869386.log for SVN 1869440...
corpus/usable-corpus-set0/ham-spamsponge.r1869386.log does not meet the requirements
Checking corpus/usable-corpus-set0/ham-axb-coi-bulk.r1869386.log for SVN 1869440...
corpus/usable-corpus-set0/ham-axb-coi-bulk.r1869386.log does not meet the requirements
Checking corpus/usable-corpus-set0/ham-mmiroslaw-mails-spam.r1869386.log for SVN 1869440...
corpus/usable-corpus-set0/ham-mmiroslaw-mails-spam.r1869386.log does not meet the requirements
Checking corpus/usable-corpus-set0/spam-mmiroslaw-mails-spam.r1869440.log for SVN 1869440...
# SVN revision: 1869440
Checking corpus/usable-corpus-set0/ham-grenier.r1869386.log for SVN 1869440...
corpus/usable-corpus-set0/ham-grenier.r1869386.log does not meet the requirements
Checking corpus/usable-corpus-set0/ham-axb-generic.r1869386.log for SVN 1869440...
corpus/usable-corpus-set0/ham-axb-generic.r1869386.log does not meet the requirements
Checking corpus/usable-corpus-set0/spam-hege.r1869440.log for SVN 1869440...
# SVN revision: 1869440
Checking corpus/usable-corpus-set0/ham-ena-week0.r1869440.log for SVN 1869440...
# SVN revision: 1869440
Checking corpus/usable-corpus-set0/spam-ena-week3.r1869440.log for SVN 1869440...
# SVN revision: 1869440
Checking corpus/usable-corpus-set0/ham-jarif.r1869386.log for SVN 1869440...
corpus/usable-corpus-set0/ham-jarif.r1869386.log does not meet the requirements
Checking corpus/usable-corpus-set0/spam-ena-week1.r1869386.log for SVN 1869440...
corpus/usable-corpus-set0/spam-ena-week1.r1869386.log does not meet the requirements
Checking corpus/usable-corpus-set0/spam-ena-week4.r1869386.log for SVN 1869440...
corpus/usable-corpus-set0/spam-ena-week4.r1869386.log does not meet the requirements
Checking corpus/usable-corpus-set0/ham-hege.r1869440.log for SVN 1869440...
# SVN revision: 1869440
Checking corpus/usable-corpus-set0/spam-mmiroslaw-mails-ham.r1869386.log for SVN 1869440...
corpus/usable-corpus-set0/spam-mmiroslaw-mails-ham.r1869386.log does not meet the requirements
Checking corpus/usable-corpus-set0/spam-ena-week0.r1869386.log for SVN 1869440...
corpus/usable-corpus-set0/spam-ena-week0.r1869386.log does not meet the requirements
Checking corpus/usable-corpus-set0/spam-darxus.r1869386.log for SVN 1869440...
corpus/usable-corpus-set0/spam-darxus.r1869386.log does not meet the requirements
Checking corpus/usable-corpus-set0/spam-grenier.r1869440.log for SVN 1869440...
# SVN revision: 1869440
Checking corpus/usable-corpus-set0/ham-ena-week1.r1869386.log for SVN 1869440...
corpus/usable-corpus-set0/ham-ena-week1.r1869386.log does not meet the requirements
Checking corpus/usable-corpus-set0/spam-npiazzi.r1869386.log for SVN 1869440...
corpus/usable-corpus-set0/spam-npiazzi.r1869386.log does not meet the requirements
Checking corpus/usable-corpus-set0/spam-axb-coi-bulk.r1869386.log for SVN 1869440...
corpus/usable-corpus-set0/spam-axb-coi-bulk.r1869386.log does not meet the requirements
Checking corpus/usable-corpus-set0/ham-ena-week2.r1869440.log for SVN 1869440...
# SVN revision: 1869440
Checking corpus/usable-corpus-set0/spam-axb-generic.r1869440.log for SVN 1869440...
# SVN revision: 1869440
Checking corpus/usable-corpus-set0/ham-ena-week4.r1869386.log for SVN 1869440...
corpus/usable-corpus-set0/ham-ena-week4.r1869386.log does not meet the requirements
Checking corpus/usable-corpus-set0/spam-npiazzi.r1869440.log for SVN 1869440...
# SVN revision: 1869440
Checking corpus/usable-corpus-set0/ham-giovanni-spam.r1869440.log for SVN 1869440...
# SVN revision: 1869440
Checking corpus/usable-corpus-set0/ham-jarif.r1869440.log for SVN 1869440...
# SVN revision: 1869440
Checking corpus/usable-corpus-set0/spam-sihde.r1869440.log for SVN 1869440...
# SVN revision: 1869440
Checking corpus/usable-corpus-set0/spam-pds.r1869386.log for SVN 1869440...
corpus/usable-corpus-set0/spam-pds.r1869386.log does not meet the requirements
Checking corpus/usable-corpus-set0/ham-axb-ham-misc.r1869386.log for SVN 1869440...
corpus/usable-corpus-set0/ham-axb-ham-misc.r1869386.log does not meet the requirements
Checking corpus/usable-corpus-set0/ham-giovanni-spam.r1869386.log for SVN 1869440...
corpus/usable-corpus-set0/ham-giovanni-spam.r1869386.log does not meet the requirements
Checking corpus/usable-corpus-set0/ham-pds.r1869386.log for SVN 1869440...
corpus/usable-corpus-set0/ham-pds.r1869386.log does not meet the requirements
Checking corpus/usable-corpus-set0/spam-axb-coi-bulk.r1869440.log for SVN 1869440...
# SVN revision: 1869440
Checking corpus/usable-corpus-set0/ham-grenier.r1869440.log for SVN 1869440...
# SVN revision: 1869440
Checking corpus/usable-corpus-set0/spam-hege.r1869386.log for SVN 1869440...
corpus/usable-corpus-set0/spam-hege.r1869386.log does not meet the requirements
Checking corpus/usable-corpus-set0/ham-axb-generic.r1869440.log for SVN 1869440...
# SVN revision: 1869440
Checking corpus/usable-corpus-set0/spam-giovanni-spam.r1869386.log for SVN 1869440...
corpus/usable-corpus-set0/spam-giovanni-spam.r1869386.log does not meet the requirements
Checking corpus/usable-corpus-set0/ham-giovanni-ham.r1869440.log for SVN 1869440...
# SVN revision: 1869440
Checking corpus/usable-corpus-set0/ham-jbrooks.r1869440.log for SVN 1869440...
# SVN revision: 1869440
Checking corpus/usable-corpus-set0/spam-spamsponge.r1869440.log for SVN 1869440...
# SVN revision: 1869440
Checking corpus/usable-corpus-set0/ham-pds.r1869440.log for SVN 1869440...
# SVN revision: 1869440
 HAM CONTRIBUTORS FOUND: 24 (required 8)
SPAM CONTRIBUTORS FOUND: 24 (required 8)
Thu Nov  7 04:13:50 UTC 2019
[ checking out code from svn repository ]
+ svn co -r 1869440 http://svn.apache.org/repos/asf/spamassassin/trunk trunk-new-rules-set0
svn: E170013: Unable to connect to a repository at URL 'http://svn.apache.org/repos/asf/spamassassin/trunk'
svn: E000110: Error running context: Connection timed out
+ exit 1
+ RV=1
+ '[' 1 -ne 0 ']'
+ echo 'Exit Status 1 is not zero for do-nightly-rescore-example'
Exit Status 1 is not zero for do-nightly-rescore-example
+ echo 'From: noreply@spamassassin.apache.org (automc Cron)'
+ echo 'Subject: [auto] do-nightly-rescore-example return code 1'
+ echo ''
+ echo 'Exit Status 1 is not zero for do-nightly-rescore-example.'
+ /usr/sbin/sendmail -oi ruleqa@spamassassin.apache.org