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Posted to sysadmins@spamassassin.apache.org by Cron Daemon <ro...@sa-vm.apache.org> on 2021/10/10 02:30:06 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 ...

Beginning of Week.  Running with 0 first.
/usr/local/spamassassin/automc/tmp/generate-new-scores
Sun 10 Oct 2021 02:25:02 AM UTC
[ rsyncing logs ]
[ rsyncing logs locally ]
sending incremental file list
ham-darxus.r1893959.log
ham-darxus.r1894018.log
ham-giovanni-ham.r1893959.log
ham-giovanni-ham.r1894018.log
ham-giovanni-spam.r1893959.log
ham-giovanni-spam.r1894018.log
ham-giovanni-spammy.r1893959.log
ham-giovanni-spammy.r1894018.log
ham-grenier.r1893959.log
ham-grenier.r1894018.log
ham-hege.r1893959.log
ham-hege.r1894018.log
ham-jhardin.r1893959.log
ham-jhardin.r1894018.log
ham-llanga.r1893959.log
ham-llanga.r1894018.log
ham-mmiroslaw-mails-ham.r1893959.log
ham-mmiroslaw-mails-ham.r1894018.log
ham-mmiroslaw-mails-spam.r1893959.log
ham-mmiroslaw-mails-spam.r1894018.log
ham-net-darxus.r1893805.log
ham-net-darxus.r1894058.log
ham-net-ena-week4.r1893805.log
ham-net-giovanni-ham.r1893805.log
ham-net-giovanni-ham.r1894058.log
ham-net-giovanni-spam.r1893805.log
ham-net-giovanni-spam.r1894058.log
ham-net-giovanni-spammy.r1893805.log
ham-net-giovanni-spammy.r1894058.log
ham-net-grenier.r1893805.log
ham-net-grenier.r1894058.log
ham-net-hege.r1893805.log
ham-net-hege.r1894058.log
ham-net-jhardin.r1893805.log
ham-net-jhardin.r1894058.log
ham-net-llanga.r1894058.log
ham-net-mmiroslaw-mails-ham.r1893805.log
ham-net-mmiroslaw-mails-ham.r1894058.log
ham-net-mmiroslaw-mails-spam.r1893805.log
ham-net-mmiroslaw-mails-spam.r1894058.log
ham-net-pds.r1893805.log
ham-net-pds.r1894058.log
ham-net-spamsponge.r1893805.log
ham-net-spamsponge.r1894058.log
ham-net-thendrikx.r1893805.log
ham-net-thendrikx.r1894058.log
ham-net-tsz-spam-corpus.r1893805.log
ham-pds.r1893959.log
ham-pds.r1894018.log
ham-spamsponge.r1893959.log
ham-spamsponge.r1894018.log
ham-thendrikx.r1893959.log
ham-thendrikx.r1894018.log
ham-tsz-spam-corpus.r1893959.log
ham-tsz-spam-corpus.r1894018.log
spam-darxus.r1893959.log
spam-darxus.r1894018.log
spam-giovanni-ham.r1893959.log
spam-giovanni-ham.r1894018.log
spam-giovanni-spam.r1893959.log
spam-giovanni-spam.r1894018.log
spam-giovanni-spammy.r1893959.log
spam-giovanni-spammy.r1894018.log
spam-grenier.r1893959.log
spam-grenier.r1894018.log
spam-hege.r1893959.log
spam-hege.r1894018.log
spam-jhardin.r1893959.log
spam-jhardin.r1894018.log
spam-llanga.r1893959.log
spam-llanga.r1894018.log
spam-mmiroslaw-mails-ham.r1893959.log
spam-mmiroslaw-mails-ham.r1894018.log
spam-mmiroslaw-mails-spam.r1893959.log
spam-mmiroslaw-mails-spam.r1894018.log
spam-net-darxus.r1893805.log
spam-net-darxus.r1894058.log
spam-net-ena-week4.r1893805.log
spam-net-giovanni-ham.r1893805.log
spam-net-giovanni-ham.r1894058.log
spam-net-giovanni-spam.r1893805.log
spam-net-giovanni-spam.r1894058.log
spam-net-giovanni-spammy.r1893805.log
spam-net-giovanni-spammy.r1894058.log
spam-net-grenier.r1893805.log
spam-net-grenier.r1894058.log
spam-net-hege.r1893805.log
spam-net-hege.r1894058.log
spam-net-jhardin.r1893805.log
spam-net-jhardin.r1894058.log
spam-net-llanga.r1894058.log
spam-net-mmiroslaw-mails-ham.r1893805.log
spam-net-mmiroslaw-mails-ham.r1894058.log
spam-net-mmiroslaw-mails-spam.r1893805.log
spam-net-mmiroslaw-mails-spam.r1894058.log
spam-net-pds.r1893805.log
spam-net-pds.r1894058.log
spam-net-spamsponge.r1893805.log
spam-net-spamsponge.r1894058.log
spam-net-thendrikx.r1893805.log
spam-net-thendrikx.r1894058.log
spam-net-tsz-spam-corpus.r1893805.log
spam-pds.r1893959.log
spam-pds.r1894018.log
spam-spamsponge.r1893959.log
spam-spamsponge.r1894018.log
spam-thendrikx.r1893959.log
spam-thendrikx.r1894018.log
spam-tsz-spam-corpus.r1893959.log
spam-tsz-spam-corpus.r1894018.log

sent 2,863,785,418 bytes  received 2,106 bytes  90,913,889.65 bytes/sec
total size is 2,863,078,595  speedup is 1.00
Sun 10 Oct 2021 02:25:33 AM UTC
[ selecting log files to use for scoreset 0 ]
Linked ham-grenier.r1894018.log to corpus/usable-corpus-set0/ham-grenier.r1894018.log
Linked ham-thendrikx.r1894018.log to corpus/usable-corpus-set0/ham-thendrikx.r1894018.log
Linked ham-llanga.r1894018.log to corpus/usable-corpus-set0/ham-llanga.r1894018.log
Linked ham-giovanni-ham.r1894018.log to corpus/usable-corpus-set0/ham-giovanni-ham.r1894018.log
Linked spam-spamsponge.r1894018.log to corpus/usable-corpus-set0/spam-spamsponge.r1894018.log
Linked spam-giovanni-ham.r1894018.log to corpus/usable-corpus-set0/spam-giovanni-ham.r1894018.log
Linked ham-mmiroslaw-mails-spam.r1894018.log to corpus/usable-corpus-set0/ham-mmiroslaw-mails-spam.r1894018.log
Linked spam-hege.r1894018.log to corpus/usable-corpus-set0/spam-hege.r1894018.log
Linked ham-pds.r1894018.log to corpus/usable-corpus-set0/ham-pds.r1894018.log
Linked spam-llanga.r1894018.log to corpus/usable-corpus-set0/spam-llanga.r1894018.log
Linked spam-tsz-spam-corpus.r1894018.log to corpus/usable-corpus-set0/spam-tsz-spam-corpus.r1894018.log
Linked spam-giovanni-spammy.r1894018.log to corpus/usable-corpus-set0/spam-giovanni-spammy.r1894018.log
Linked ham-jhardin.r1894018.log to corpus/usable-corpus-set0/ham-jhardin.r1894018.log
Linked spam-thendrikx.r1894018.log to corpus/usable-corpus-set0/spam-thendrikx.r1894018.log
Linked ham-giovanni-spammy.r1894018.log to corpus/usable-corpus-set0/ham-giovanni-spammy.r1894018.log
Linked spam-darxus.r1894018.log to corpus/usable-corpus-set0/spam-darxus.r1894018.log
Linked ham-giovanni-spam.r1894018.log to corpus/usable-corpus-set0/ham-giovanni-spam.r1894018.log
Linked ham-hege.r1894018.log to corpus/usable-corpus-set0/ham-hege.r1894018.log
Linked ham-darxus.r1894018.log to corpus/usable-corpus-set0/ham-darxus.r1894018.log
Linked spam-grenier.r1894018.log to corpus/usable-corpus-set0/spam-grenier.r1894018.log
Linked spam-mmiroslaw-mails-ham.r1894018.log to corpus/usable-corpus-set0/spam-mmiroslaw-mails-ham.r1894018.log
Linked spam-jhardin.r1894018.log to corpus/usable-corpus-set0/spam-jhardin.r1894018.log
Linked ham-mmiroslaw-mails-ham.r1894018.log to corpus/usable-corpus-set0/ham-mmiroslaw-mails-ham.r1894018.log
Linked spam-pds.r1894018.log to corpus/usable-corpus-set0/spam-pds.r1894018.log
Linked ham-tsz-spam-corpus.r1894018.log to corpus/usable-corpus-set0/ham-tsz-spam-corpus.r1894018.log
Linked ham-spamsponge.r1894018.log to corpus/usable-corpus-set0/ham-spamsponge.r1894018.log
Linked spam-mmiroslaw-mails-spam.r1894018.log to corpus/usable-corpus-set0/spam-mmiroslaw-mails-spam.r1894018.log
Linked spam-giovanni-spam.r1894018.log to corpus/usable-corpus-set0/spam-giovanni-spam.r1894018.log

Majority SVN revision found: 1894018

Checking corpus/usable-corpus-set0/ham-grenier.r1894018.log for SVN 1894018...
# SVN revision: 1894018
Checking corpus/usable-corpus-set0/ham-thendrikx.r1894018.log for SVN 1894018...
# SVN revision: 1894018
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# SVN revision: 1894018
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# SVN revision: 1894018
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# SVN revision: 1894018
Checking corpus/usable-corpus-set0/spam-giovanni-ham.r1894018.log for SVN 1894018...
# SVN revision: 1894018
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# SVN revision: 1894018
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# SVN revision: 1894018
 HAM CONTRIBUTORS FOUND: 14 (required 8)
SPAM CONTRIBUTORS FOUND: 14 (required 8)
Sun 10 Oct 2021 02:25:33 AM UTC
[ checking out code from svn repository ]
+ svn co -r 1894018 http://svn.apache.org/repos/asf/spamassassin/trunk trunk-new-rules-set0
A    trunk-new-rules-set0/rules
A    trunk-new-rules-set0/rules/active.list
A    trunk-new-rules-set0/rules/user_prefs.template
A    trunk-new-rules-set0/rules/30_text_de.cf
A    trunk-new-rules-set0/rules/20_body_tests.cf
A    trunk-new-rules-set0/rules/v342.pre
A    trunk-new-rules-set0/rules/20_freemail_mailcom_domains.cf
A    trunk-new-rules-set0/rules/25_dnswl.cf
A    trunk-new-rules-set0/rules/25_razor2.cf
A    trunk-new-rules-set0/rules/60_whitelist_auth.cf
A    trunk-new-rules-set0/rules/20_dynrdns.cf
A    trunk-new-rules-set0/rules/30_text_pl.cf
A    trunk-new-rules-set0/rules/v343.pre
A    trunk-new-rules-set0/rules/25_dcc.cf
A    trunk-new-rules-set0/rules/60_whitelist_spf.cf
A    trunk-new-rules-set0/rules/30_text_nl.cf
A    trunk-new-rules-set0/rules/20_html_tests.cf
A    trunk-new-rules-set0/rules/25_pyzor.cf
A    trunk-new-rules-set0/rules/25_spf.cf
A    trunk-new-rules-set0/rules/20_fake_helo_tests.cf
A    trunk-new-rules-set0/rules/60_whitelist_dkim.cf
A    trunk-new-rules-set0/rules/60_whitelist.cf
A    trunk-new-rules-set0/rules/50_scores.cf
A    trunk-new-rules-set0/rules/v400.pre
A    trunk-new-rules-set0/rules/60_bayes_stopwords.cf
A    trunk-new-rules-set0/rules/20_mailspike.cf
A    trunk-new-rules-set0/rules/60_txrep.cf
A    trunk-new-rules-set0/rules/20_freemail_domains.cf
A    trunk-new-rules-set0/rules/10_hasbase.cf
A    trunk-new-rules-set0/rules/20_head_tests.cf
A    trunk-new-rules-set0/rules/20_ratware.cf
A    trunk-new-rules-set0/rules/73_sandbox_manual_scores.cf
A    trunk-new-rules-set0/rules/v340.pre
A    trunk-new-rules-set0/rules/60_shortcircuit.cf
A    trunk-new-rules-set0/rules/20_meta_tests.cf
A    trunk-new-rules-set0/rules/v341.pre
A    trunk-new-rules-set0/rules/20_advance_fee.cf
A    trunk-new-rules-set0/rules/STATISTICS-set1.txt
A    trunk-new-rules-set0/rulesrc
A    trunk-new-rules-set0/rulesrc/scores
A    trunk-new-rules-set0/rules/STATISTICS-set2.txt
A    trunk-new-rules-set0/rules/20_aux_tlds.cf
A    trunk-new-rules-set0/rules/v330.pre
A    trunk-new-rules-set0/rules/v312.pre
A    trunk-new-rules-set0/rules/svn_only.pre
A    trunk-new-rules-set0/rulesrc/sandbox
A    trunk-new-rules-set0/rulesrc/sandbox/jhardin
A    trunk-new-rules-set0/rules/languages
A    trunk-new-rules-set0/rules/20_dnsbl_tests.cf
A    trunk-new-rules-set0/rules/25_uribl.cf
A    trunk-new-rules-set0/rules/20_pdfinfo.cf
A    trunk-new-rules-set0/rules/25_asn.cf
A    trunk-new-rules-set0/rules/20_drugs.cf
A    trunk-new-rules-set0/rules/20_uri_tests.cf
A    trunk-new-rules-set0/rules/20_vbounce.cf
A    trunk-new-rules-set0/rules/20_phrases.cf
A    trunk-new-rules-set0/rules/25_replace.cf
A    trunk-new-rules-set0/rules/local.cf
A    trunk-new-rules-set0/rules/30_text_fr.cf
A    trunk-new-rules-set0/rules/30_text_it.cf
A    trunk-new-rules-set0/rules/v310.pre
A    trunk-new-rules-set0/rules/sa-update-pubkey.txt
A    trunk-new-rules-set0/rules/25_textcat.cf
A    trunk-new-rules-set0/rules/20_porn.cf
A    trunk-new-rules-set0/rules/60_whitelist_subject.cf
A    trunk-new-rules-set0/rulesrc/sandbox/smf
A    trunk-new-rules-set0/rulesrc/sandbox/felicity
A    trunk-new-rules-set0/rulesrc/scores/scores-set0
A    trunk-new-rules-set0/rules/25_antivirus.cf
A    trunk-new-rules-set0/rulesrc/scores/scores-set1
A    trunk-new-rules-set0/rules/30_text_pt_br.cf
A    trunk-new-rules-set0/rules/regression_tests.cf
A    trunk-new-rules-set0/rules/20_freemail.cf
A    trunk-new-rules-set0/rules/init.pre
A    trunk-new-rules-set0/rules/10_default_prefs.cf
A    trunk-new-rules-set0/rules/23_bayes.cf
A    trunk-new-rules-set0/rules/25_dkim.cf
A    trunk-new-rules-set0/rules/60_adsp_override_dkim.cf
A    trunk-new-rules-set0/rules/20_imageinfo.cf
A    trunk-new-rules-set0/rules/60_awl.cf
A    trunk-new-rules-set0/rules/STATISTICS-set0.txt
A    trunk-new-rules-set0/rules/STATISTICS-set3.txt
A    trunk-new-rules-set0/rules/20_net_tests.cf
A    trunk-new-rules-set0/rules/v320.pre
A    trunk-new-rules-set0/rules/20_compensate.cf
A    trunk-new-rules-set0/rules/25_accessdb.cf
A    trunk-new-rules-set0/rulesrc/scores/72_scores.cf
A    trunk-new-rules-set0/rulesrc/scores/scores-set2
A    trunk-new-rules-set0/rulesrc/scores/stats-set1
A    trunk-new-rules-set0/rulesrc/sandbox/jhardin/40_local_419replyto.cf
A    trunk-new-rules-set0/rulesrc/sandbox/jhardin/20_lotsa_money.cf
A    trunk-new-rules-set0/rulesrc/sandbox/jhardin/20_advance_fee_reevolved.cf
A    trunk-new-rules-set0/rulesrc/sandbox/jhardin/20_MIME_no_text.cf
A    trunk-new-rules-set0/rulesrc/sandbox/jhardin/20_thirdparty.cf
A    trunk-new-rules-set0/rulesrc/sandbox/smf/20_smf.cf
A    trunk-new-rules-set0/rulesrc/sandbox/gbechis
A    trunk-new-rules-set0/rulesrc/sandbox/kb
A    trunk-new-rules-set0/rulesrc/sandbox/pds
A    trunk-new-rules-set0/rulesrc/scores/stats-set0
A    trunk-new-rules-set0/rulesrc/scores/stats-set3
A    trunk-new-rules-set0/rulesrc/sandbox/jhardin/20_misc_testing.cf
A    trunk-new-rules-set0/rulesrc/scores/scores-set3
A    trunk-new-rules-set0/rulesrc/scores/stats-set2
A    trunk-new-rules-set0/rulesrc/sandbox/jhardin/40_local_googlestorage.cf
A    trunk-new-rules-set0/rulesrc/sandbox/jhardin/40_local_azurephish.cf
A    trunk-new-rules-set0/rulesrc/sandbox/jhardin/20_shared_subrules.cf
A    trunk-new-rules-set0/rulesrc/sandbox/jhardin/20_postcards.cf
A    trunk-new-rules-set0/rulesrc/sandbox/jhardin/20_MIME_in_body.cf
A    trunk-new-rules-set0/rulesrc/sandbox/smf/30_bug_6919.cf
A    trunk-new-rules-set0/rulesrc/sandbox/billcole
A    trunk-new-rules-set0/rulesrc/sandbox/hege
A    trunk-new-rules-set0/rulesrc/sandbox/jhardin/20_fillform.cf
A    trunk-new-rules-set0/rulesrc/sandbox/jhardin/20_tbird_image_spam.cf
A    trunk-new-rules-set0/rulesrc/sandbox/jhardin/20_uri_obfu_ws.cf
A    trunk-new-rules-set0/rulesrc/sandbox/smf/30_smf_nontest.cf
A    trunk-new-rules-set0/rulesrc/sandbox/smf/20_url_shorteners.cf
A    trunk-new-rules-set0/rulesrc/sandbox/jm
A    trunk-new-rules-set0/rulesrc/sandbox/felicity/70_phishing.cf
A    trunk-new-rules-set0/rulesrc/sandbox/pds/20_spf.cf
A    trunk-new-rules-set0/rulesrc/sandbox/billcole/24_mixed_es.cf
A    trunk-new-rules-set0/rulesrc/sandbox/gbechis/20_freemail.cf
A    trunk-new-rules-set0/rulesrc/sandbox/felicity/70_other.cf
A    trunk-new-rules-set0/rulesrc/sandbox/hege/20_hk.cf
A    trunk-new-rules-set0/rulesrc/sandbox/felicity/70_iadb.cf
A    trunk-new-rules-set0/rulesrc/sandbox/gbechis/20_btc.cf
A    trunk-new-rules-set0/rulesrc/sandbox/gbechis/20_ratware.cf
A    trunk-new-rules-set0/rulesrc/sandbox/kb/75_de.cf
A    trunk-new-rules-set0/rulesrc/sandbox/khopesh
A    trunk-new-rules-set0/rulesrc/sandbox/gbechis/20_wp.cf
A    trunk-new-rules-set0/rulesrc/sandbox/gbechis/20_xmr.cf
A    trunk-new-rules-set0/rulesrc/sandbox/kb/20_bug_6156.cf
A    trunk-new-rules-set0/rulesrc/sandbox/pds/20_ntld.cf
A    trunk-new-rules-set0/rulesrc/sandbox/pds/10_menaces.cf
A    trunk-new-rules-set0/rulesrc/sandbox/pds/20_fns.cf
A    trunk-new-rules-set0/rulesrc/sandbox/felicity/sandbox-felicity.pm
A    trunk-new-rules-set0/rulesrc/sandbox/pds/20_dkimwl.cf
A    trunk-new-rules-set0/rulesrc/sandbox/pds/20_helo.cf
A    trunk-new-rules-set0/rulesrc/sandbox/pds/20_html.cf
A    trunk-new-rules-set0/rulesrc/sandbox/pds/20_gov.cf
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A    trunk-new-rules-set0/rules-current/v310.pre
A    trunk-new-rules-set0/rules-current/languages
A    trunk-new-rules-set0/rules-current/20_dnsbl_tests.cf
A    trunk-new-rules-set0/rules-current/25_uribl.cf
A    trunk-new-rules-set0/rules-current/v320.pre
A    trunk-new-rules-set0/rules-current/20_pdfinfo.cf
A    trunk-new-rules-set0/rules-current/25_asn.cf
A    trunk-new-rules-set0/rules-current/20_drugs.cf
A    trunk-new-rules-set0/rules-current/20_uri_tests.cf
A    trunk-new-rules-set0/rules-current/20_vbounce.cf
A    trunk-new-rules-set0/rules-current/20_phrases.cf
A    trunk-new-rules-set0/rules-current/25_replace.cf
A    trunk-new-rules-set0/rules-current/local.cf
A    trunk-new-rules-set0/rules-current/30_text_fr.cf
A    trunk-new-rules-set0/rules-current/sa-update-pubkey.txt
A    trunk-new-rules-set0/rules-current/30_text_it.cf
A    trunk-new-rules-set0/rules-current/25_antivirus.cf
A    trunk-new-rules-set0/rules-current/20_compensate.cf
A    trunk-new-rules-set0/rules-current/25_textcat.cf
A    trunk-new-rules-set0/rules-current/STATISTICS-set2.txt
A    trunk-new-rules-set0/rules-current/20_net_tests.cf
A    trunk-new-rules-set0/rules-current/svn_only.pre
A    trunk-new-rules-set0/rules-current/60_whitelist_subject.cf
A    trunk-new-rules-set0/rules-current/30_text_pt_br.cf
A    trunk-new-rules-set0/rules-current/regression_tests.cf
A    trunk-new-rules-set0/rules-current/20_freemail.cf
A    trunk-new-rules-set0/rules-current/init.pre
A    trunk-new-rules-set0/rules-current/10_default_prefs.cf
A    trunk-new-rules-set0/rules-current/23_bayes.cf
A    trunk-new-rules-set0/rules-current/25_dkim.cf
A    trunk-new-rules-set0/rules-current/60_adsp_override_dkim.cf
A    trunk-new-rules-set0/rules-current/60_txrep.cf
A    trunk-new-rules-set0/rules-current/20_advance_fee.cf
A    trunk-new-rules-set0/rules-current/STATISTICS-set3.txt
A    trunk-new-rules-set0/rules-current/v312.pre
A    trunk-new-rules-set0/rules-current/20_porn.cf
A    trunk-new-rules-set0/rules-current/25_accessdb.cf
 U   trunk-new-rules-set0/rules-current
Checked out revision 1894083.
+ svn up -r 1894018 trunk-new-rules-set0/rulesrc/
Updating 'trunk-new-rules-set0/rulesrc':
At revision 1894018.
+ svn up trunk-new-rules-set0/masses/
Updating 'trunk-new-rules-set0/masses':
At revision 1894083.
+ svn up trunk-new-rules-set0/build/
Updating 'trunk-new-rules-set0/build':
At revision 1894083.
+ cd trunk-new-rules-set0/masses
+ patch
patching file Makefile
Hunk #1 succeeded at 37 (offset 1 line).
+ 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
Sun 10 Oct 2021 02:25:39 AM UTC
+ 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 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 Email::Address::XS module is not installed.

  Email::Address::XS is used to parse email addresses from header
  fields like To/From/cc, per RFC 5322. If installed, it may additionally
  be used by internal parser to process complex lists.


***************************************************************************
NOTE: the optional Mail::DMARC::PurePerl module is not installed.

  Mail::DMARC::PurePerl is a Perl implementation of DMARC protocol.
  It is used by the optional Dmarc Plugin.

checking binary dependencies and their versions...

***************************************************************************
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: MaxMind::DB::Reader
optional module missing: MaxMind::DB::Reader::XS
optional module missing: Email::Address::XS
optional module missing: Mail::DMARC::PurePerl
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 7.34
+ make
+ grep -v '^score' rules/72_active.cf
+ mv -f rules/72_active.cf-scoreless rules/72_active.cf
+ date
Sun 10 Oct 2021 02:25:58 AM UTC
+ echo '[ running log-grep-recent ]'
+ pwd
[ running log-grep-recent ]
/usr/local/spamassassin/automc/tmp/generate-new-scores/trunk-new-rules-set0
+ echo -e '\nmasses/log-grep-recent -m 96 ../corpus/usable-corpus-set0/ham-*.log > masses/ham-full.log'

masses/log-grep-recent -m 96 ../corpus/usable-corpus-set0/ham-*.log > masses/ham-full.log
+ masses/log-grep-recent -m 96 ../corpus/usable-corpus-set0/ham-darxus.r1894018.log ../corpus/usable-corpus-set0/ham-giovanni-ham.r1894018.log ../corpus/usable-corpus-set0/ham-giovanni-spammy.r1894018.log ../corpus/usable-corpus-set0/ham-giovanni-spam.r1894018.log ../corpus/usable-corpus-set0/ham-grenier.r1894018.log ../corpus/usable-corpus-set0/ham-hege.r1894018.log ../corpus/usable-corpus-set0/ham-jhardin.r1894018.log ../corpus/usable-corpus-set0/ham-llanga.r1894018.log ../corpus/usable-corpus-set0/ham-mmiroslaw-mails-ham.r1894018.log ../corpus/usable-corpus-set0/ham-mmiroslaw-mails-spam.r1894018.log ../corpus/usable-corpus-set0/ham-pds.r1894018.log ../corpus/usable-corpus-set0/ham-spamsponge.r1894018.log ../corpus/usable-corpus-set0/ham-thendrikx.r1894018.log ../corpus/usable-corpus-set0/ham-tsz-spam-corpus.r1894018.log
Month distribution:

   31264 ( 18%)     31264   0-1 months old
   34680 ( 20%)      3416   1-2 months old
   37305 ( 22%)      2625   2-3 months old
   40508 ( 24%)      3203   3-4 months old
   44270 ( 26%)      3762   4-5 months old
   49045 ( 29%)      4775   5-6 months old
   50889 ( 30%)      1844   6-7 months old
   52763 ( 31%)      1874   7-8 months old
   55114 ( 33%)      2351   8-9 months old
   56657 ( 34%)      1543   9-10 months old
   58230 ( 35%)      1573  10-11 months old
   59987 ( 36%)      1757  11-12 months old
   61579 ( 37%)      1592  12-13 months old
   62958 ( 37%)      1379  13-14 months old
   64253 ( 38%)      1295  14-15 months old
   68028 ( 40%)      3775  15-16 months old
   71817 ( 43%)      3789  16-17 months old
   76030 ( 45%)      4213  17-18 months old
   80507 ( 48%)      4477  18-19 months old
   84735 ( 50%)      4228  19-20 months old
   87990 ( 52%)      3255  20-21 months old
   90835 ( 54%)      2845  21-22 months old
   94668 ( 56%)      3833  22-23 months old
   98323 ( 59%)      3655  23-24 months old
  101955 ( 61%)      3632  24-25 months old
  105261 ( 63%)      3306  25-26 months old
  108177 ( 65%)      2916  26-27 months old
  111283 ( 66%)      3106  27-28 months old
  114893 ( 69%)      3610  28-29 months old
  128821 ( 77%)     13928  29-30 months old
  133957 ( 80%)      5136  30-31 months old
  138039 ( 83%)      4082  31-32 months old
  141455 ( 85%)      3416  32-33 months old
  144412 ( 86%)      2957  33-34 months old
  148051 ( 89%)      3639  34-35 months old
  151782 ( 91%)      3731  35-36 months old
  156038 ( 93%)      4256  36-37 months old
  159052 ( 95%)      3014  37-38 months old
  159438 ( 95%)       386  38-39 months old
  159748 ( 96%)       310  39-40 months old
  160196 ( 96%)       448  40-41 months old
  160616 ( 96%)       420  41-42 months old
  161031 ( 96%)       415  42-43 months old
  161462 ( 97%)       431  43-44 months old
  161788 ( 97%)       326  44-45 months old
  162161 ( 97%)       373  45-46 months old
  162382 ( 97%)       221  46-47 months old
  162634 ( 97%)       252  47-48 months old
  162831 ( 97%)       197  48-49 months old
  162988 ( 98%)       157  49-50 months old
  163113 ( 98%)       125  50-51 months old
  163322 ( 98%)       209  51-52 months old
  163497 ( 98%)       175  52-53 months old
  163719 ( 98%)       222  53-54 months old
  163947 ( 98%)       228  54-55 months old
  164125 ( 98%)       178  55-56 months old
  164342 ( 98%)       217  56-57 months old
  164465 ( 98%)       123  57-58 months old
  164648 ( 99%)       183  58-59 months old
  164827 ( 99%)       179  59-60 months old
  165019 ( 99%)       192  60-61 months old
  165157 ( 99%)       138  61-62 months old
  165249 ( 99%)        92  62-63 months old
  165386 ( 99%)       137  63-64 months old
  165559 ( 99%)       173  64-65 months old
  165717 ( 99%)       158  65-66 months old
  165864 ( 99%)       147  66-67 months old
  165983 ( 99%)       119  67-68 months old
  166021 ( 99%)        38  68-69 months old
  166062 ( 99%)        41  69-70 months old
  166108 ( 99%)        46  70-71 months old
  166143 ( 99%)        35  71-72 months old
  166167 ( 99%)        24  72-73 months old
  166168 (100%)         1  73-74 months old
+ echo -e '\nmasses/log-grep-recent -m 3 ../corpus/usable-corpus-set0/spam-*.log > masses/spam-full.log'

masses/log-grep-recent -m 3 ../corpus/usable-corpus-set0/spam-*.log > masses/spam-full.log
+ masses/log-grep-recent -m 3 ../corpus/usable-corpus-set0/spam-darxus.r1894018.log ../corpus/usable-corpus-set0/spam-giovanni-ham.r1894018.log ../corpus/usable-corpus-set0/spam-giovanni-spammy.r1894018.log ../corpus/usable-corpus-set0/spam-giovanni-spam.r1894018.log ../corpus/usable-corpus-set0/spam-grenier.r1894018.log ../corpus/usable-corpus-set0/spam-hege.r1894018.log ../corpus/usable-corpus-set0/spam-jhardin.r1894018.log ../corpus/usable-corpus-set0/spam-llanga.r1894018.log ../corpus/usable-corpus-set0/spam-mmiroslaw-mails-ham.r1894018.log ../corpus/usable-corpus-set0/spam-mmiroslaw-mails-spam.r1894018.log ../corpus/usable-corpus-set0/spam-pds.r1894018.log ../corpus/usable-corpus-set0/spam-spamsponge.r1894018.log ../corpus/usable-corpus-set0/spam-thendrikx.r1894018.log ../corpus/usable-corpus-set0/spam-tsz-spam-corpus.r1894018.log
Month distribution:

  150308 ( 51%)    150308   0-1 months old
  212802 ( 73%)     62494   1-2 months old
  212972 ( 73%)       170   2-3 months old
  213056 ( 73%)        84   3-4 months old
  213143 ( 73%)        87   4-5 months old
  213219 ( 73%)        76   5-6 months old
  213270 ( 73%)        51   6-7 months old
  213331 ( 73%)        61   7-8 months old
  213401 ( 73%)        70   8-9 months old
  213448 ( 73%)        47   9-10 months old
  213478 ( 73%)        30  10-11 months old
  213526 ( 73%)        48  11-12 months old
  213825 ( 73%)       299  12-13 months old
  214600 ( 73%)       775  13-14 months old
  215496 ( 74%)       896  14-15 months old
  216479 ( 74%)       983  15-16 months old
  217641 ( 74%)      1162  16-17 months old
  218772 ( 75%)      1131  17-18 months old
  219883 ( 75%)      1111  18-19 months old
  220847 ( 76%)       964  19-20 months old
  221539 ( 76%)       692  20-21 months old
  222352 ( 76%)       813  21-22 months old
  223253 ( 76%)       901  22-23 months old
  223965 ( 77%)       712  23-24 months old
  224859 ( 77%)       894  24-25 months old
  225735 ( 77%)       876  25-26 months old
  226609 ( 77%)       874  26-27 months old
  227762 ( 78%)      1153  27-28 months old
  228848 ( 78%)      1086  28-29 months old
  230030 ( 79%)      1182  29-30 months old
  231481 ( 79%)      1451  30-31 months old
  248989 ( 85%)     17508  31-32 months old
  250524 ( 86%)      1535  32-33 months old
  251877 ( 86%)      1353  33-34 months old
  252992 ( 87%)      1115  34-35 months old
  253809 ( 87%)       817  35-36 months old
  254755 ( 87%)       946  36-37 months old
  256239 ( 88%)      1484  37-38 months old
  257555 ( 88%)      1316  38-39 months old
  258828 ( 89%)      1273  39-40 months old
  260187 ( 89%)      1359  40-41 months old
  261549 ( 90%)      1362  41-42 months old
  262587 ( 90%)      1038  42-43 months old
  263408 ( 90%)       821  43-44 months old
  264069 ( 90%)       661  44-45 months old
  264880 ( 91%)       811  45-46 months old
  265752 ( 91%)       872  46-47 months old
  266736 ( 91%)       984  47-48 months old
  267548 ( 92%)       812  48-49 months old
  268274 ( 92%)       726  49-50 months old
  268751 ( 92%)       477  50-51 months old
  269257 ( 92%)       506  51-52 months old
  269780 ( 92%)       523  52-53 months old
  270168 ( 92%)       388  53-54 months old
  270627 ( 93%)       459  54-55 months old
  271037 ( 93%)       410  55-56 months old
  271534 ( 93%)       497  56-57 months old
  271923 ( 93%)       389  57-58 months old
  272355 ( 93%)       432  58-59 months old
  272871 ( 93%)       516  59-60 months old
  273367 ( 94%)       496  60-61 months old
  273953 ( 94%)       586  61-62 months old
  274345 ( 94%)       392  62-63 months old
  274763 ( 94%)       418  63-64 months old
  275261 ( 94%)       498  64-65 months old
  275831 ( 94%)       570  65-66 months old
  276415 ( 95%)       584  66-67 months old
  276932 ( 95%)       517  67-68 months old
  277568 ( 95%)       636  68-69 months old
  278250 ( 95%)       682  69-70 months old
  278865 ( 95%)       615  70-71 months old
  279726 ( 96%)       861  71-72 months old
  280594 ( 96%)       868  72-73 months old
  281456 ( 96%)       862  73-74 months old
  282275 ( 97%)       819  74-75 months old
  283029 ( 97%)       754  75-76 months old
  284027 ( 97%)       998  76-77 months old
  284726 ( 97%)       699  77-78 months old
  285445 ( 98%)       719  78-79 months old
  286152 ( 98%)       707  79-80 months old
  287005 ( 98%)       853  80-81 months old
  288167 ( 99%)      1162  81-82 months old
  288742 ( 99%)       575  82-83 months old
  289572 ( 99%)       830  83-84 months old
  290234 ( 99%)       662  84-85 months old
  290566 (100%)       332  85-86 months old
++ wc -l masses/ham-full.log
++ sed -e 's/^[ \t]*//'
++ cut '-d ' -f1
+ HAMCOUNT=166168
++ wc -l masses/spam-full.log
++ sed -e 's/^[ \t]*//'
++ cut '-d ' -f1
+ SPAMCOUNT=213056
+ echo ' HAM: 166168 (100000 required)'
+ echo 'SPAM: 213056 (100000 required)'
 HAM: 166168 (100000 required)
SPAM: 213056 (100000 required)
+ [[ 166168 -lt 100000 ]]
+ [[ 213056 -lt 100000 ]]
+ cp masses/config.set0 masses/config
+ . masses/config
++ SCORESET=0
++ HAM_PREFERENCE=5
++ THRESHOLD=5.0
++ EPOCHS=6000
++ NOTE=
+ NAME=set0
+ LOGDIR=gen-set0-5-5.0-6000-ga
+ date
Sun 10 Oct 2021 02:26:15 AM UTC
+ echo '[ running make freqs ]'
+ cd masses
[ running make freqs ]
+ pwd
/usr/local/spamassassin/automc/tmp/generate-new-scores/trunk-new-rules-set0/masses
+ set -x
+ make clean
rm -rf *.o perceptron tmp freqs badrules \
          perceptron.scores garescorer garescorer.scores \
          ../build/pga/lib/linux/*
+ set +x
+ make freqs SCORESET=0
perl hit-frequencies -c ../rules -x -p -s 0 > freqs
+ make
+ set +x
Sun 10 Oct 2021 02:27:15 AM UTC
[ starting runGA ]
+ mkdir -p gen-set0-5-5.0-6000-ga gen-set0-5-5.0-6000-ga/NSBASE gen-set0-5-5.0-6000-ga/SPBASE
tee: gen-set0-5-5.0-6000-ga/log: No such file or directory
+ [ -d gen-set0-5-5.0-6000-ga ]
+ rm -rf tmprules
+ cp -r ../rules tmprules
+ cp tmprules/50_scores.cf orig_scores.cf
+ ./enable-all-evolved-rules
+ mv tmprules/50_scores.cf.new tmprules/50_scores.cf
+ [ y = y ]
+ rm tmprules/70_sandbox.cf
+ echo [Doing a scoreset 0 score-generation run]
+ echo [Cleaning up]
+ rm -rf spam-test.log ham-test.log[Doing a scoreset 0 score-generation run]
 spam.log ham.log NSBASE SPBASE tmp freqs perceptron.scores[Cleaning up]
 garescorer.scores
+ make clean
rm -rf *.o perceptron tmp freqs badrules \
          perceptron.scores garescorer garescorer.scores \
          ../build/pga/lib/linux/*
+ 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-set0.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-set0.log
+ ln -f gen-cache/ham-split9.log gen-set0-5-5.0-6000-ga/NSBASE/ham.log
+ ln -f gen-cache/ham-split1.log gen-set0-5-5.0-6000-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-set0.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-set0.log
+ ln -f gen-cache/spam-split9.log gen-set0-5-5.0-6000-ga/SPBASE/spam.log
+ ln -f gen-cache/spam-split1.log gen-set0-5-5.0-6000-ga/SPBASE/spam-test.log
+ echo [Setting up for gen run]
+ ln -s gen-set0-5-5.0-6000-ga/SPBASE/spam.log .
[Setting up for gen run]
+ ln -s gen-set0-5-5.0-6000-ga/NSBASE/ham.log .
+ ln -s gen-set0-5-5.0-6000-ga/SPBASE/spam-test.log .
+ ln -s gen-set0-5-5.0-6000-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=0 garescorer
+ cp freqs gen-set0-5-5.0-6000-ga/freqs
+ echo [config]
+ cat config
[config]
SCORESET=0
HAM_PREFERENCE=5
THRESHOLD=5.0
EPOCHS=6000
NOTE=
+ echo [gen run start]
+ pwd
+ date
[gen run start]
/usr/local/spamassassin/automc/tmp/generate-new-scores/trunk-new-rules-set0/masses
Sun 10 Oct 2021 02:28:05 AM UTC
+ time ./garescorer -b 5 -e 6000 -t 5.0
Read test results for 17264 messages (302895 total).
Read scores for 705 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: 96.415 iterations/s, iteration no. 50

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132243  43.660%  (99.633% of non-spam corpus)
# Correctly spam:      76289  25.187%  (44.832% of spam corpus)
# False positives:       487  0.161%  (0.367% of nonspam,  23887 weighted)
# False negatives:     93876  30.993%  (55.168% of spam, 197776 weighted)
# Average score for spam:  5.2    nonspam: 0.5
# Average for false-pos:   7.7  false-neg: 2.1
# TOTAL:              302895  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: 1896.948 iterations/s, iteration no. 100

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132234  43.657%  (99.626% of non-spam corpus)
# Correctly spam:      86844  28.671%  (51.035% of spam corpus)
# False positives:       496  0.164%  (0.374% of nonspam,  24892 weighted)
# False negatives:     83321  27.508%  (48.965% of spam, 156493 weighted)
# Average score for spam:  5.4    nonspam: 0.5
# Average for false-pos:   7.8  false-neg: 1.9
# TOTAL:              302895  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: 93.139 iterations/s, iteration no. 150

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132207  43.648%  (99.606% of non-spam corpus)
# Correctly spam:      88682  29.278%  (52.115% of spam corpus)
# False positives:       523  0.173%  (0.394% of nonspam,  26454 weighted)
# False negatives:     81483  26.901%  (47.885% of spam, 154345 weighted)
# Average score for spam:  5.6    nonspam: 0.5
# Average for false-pos:   7.9  false-neg: 1.9
# TOTAL:              302895  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: 790.501 iterations/s, iteration no. 200

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132172  43.636%  (99.580% of non-spam corpus)
# Correctly spam:      92394  30.504%  (54.297% of spam corpus)
# False positives:       558  0.184%  (0.420% of nonspam,  28000 weighted)
# False negatives:     77771  25.676%  (45.703% of spam, 140035 weighted)
# Average score for spam:  5.8    nonspam: 0.5
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  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: 85.153 iterations/s, iteration no. 250

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132163  43.633%  (99.573% of non-spam corpus)
# Correctly spam:      92982  30.698%  (54.642% of spam corpus)
# False positives:       567  0.187%  (0.427% of nonspam,  28424 weighted)
# False negatives:     77183  25.482%  (45.358% of spam, 139575 weighted)
# Average score for spam:  5.8    nonspam: 0.5
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  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: 426.839 iterations/s, iteration no. 300

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132173  43.637%  (99.580% of non-spam corpus)
# Correctly spam:      93545  30.884%  (54.973% of spam corpus)
# False positives:       557  0.184%  (0.420% of nonspam,  28004 weighted)
# False negatives:     76620  25.296%  (45.027% of spam, 138340 weighted)
# Average score for spam:  5.8    nonspam: 0.5
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  100.00%

Iter #     Field      Value
300        Best       2.548857e+05
           Average    2.550107e+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: 50000000.000 iterations/s, iteration no. 350

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132160  43.632%  (99.571% of non-spam corpus)
# Correctly spam:      94567  31.221%  (55.574% of spam corpus)
# False positives:       570  0.188%  (0.429% of nonspam,  28317 weighted)
# False negatives:     75598  24.958%  (44.426% of spam, 134341 weighted)
# Average score for spam:  5.9    nonspam: 0.5
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  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: 253.583 iterations/s, iteration no. 400

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132161  43.633%  (99.571% of non-spam corpus)
# Correctly spam:      95392  31.493%  (56.059% of spam corpus)
# False positives:       569  0.188%  (0.429% of nonspam,  28245 weighted)
# False negatives:     74773  24.686%  (43.941% of spam, 131061 weighted)
# Average score for spam:  5.9    nonspam: 0.5
# Average for false-pos:   7.7  false-neg: 1.8
# TOTAL:              302895  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: 50000000.000 iterations/s, iteration no. 450

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132167  43.635%  (99.576% of non-spam corpus)
# Correctly spam:      95785  31.623%  (56.289% of spam corpus)
# False positives:       563  0.186%  (0.424% of nonspam,  28021 weighted)
# False negatives:     74380  24.556%  (43.711% of spam, 129671 weighted)
# Average score for spam:  5.9    nonspam: 0.5
# Average for false-pos:   7.8  false-neg: 1.7
# TOTAL:              302895  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: 173.139 iterations/s, iteration no. 500

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132165  43.634%  (99.574% of non-spam corpus)
# Correctly spam:      96175  31.752%  (56.519% of spam corpus)
# False positives:       565  0.187%  (0.426% of nonspam,  28068 weighted)
# False negatives:     73990  24.428%  (43.481% of spam, 128172 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.7  false-neg: 1.7
# TOTAL:              302895  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: 50000000.000 iterations/s, iteration no. 550

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132185  43.641%  (99.589% of non-spam corpus)
# Correctly spam:      96223  31.768%  (56.547% of spam corpus)
# False positives:       545  0.180%  (0.411% of nonspam,  27253 weighted)
# False negatives:     73942  24.412%  (43.453% of spam, 128108 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.7
# TOTAL:              302895  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: 127.299 iterations/s, iteration no. 600

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132184  43.640%  (99.589% of non-spam corpus)
# Correctly spam:      96350  31.810%  (56.622% of spam corpus)
# False positives:       546  0.180%  (0.411% of nonspam,  27275 weighted)
# False negatives:     73815  24.370%  (43.378% of spam, 127713 weighted)
# Average score for spam:  5.9    nonspam: 0.5
# Average for false-pos:   7.8  false-neg: 1.7
# TOTAL:              302895  100.00%

Iter #     Field      Value
600        Best       2.511366e+05
           Average    2.511661e+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: 50000000.000 iterations/s, iteration no. 650

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132190  43.642%  (99.593% of non-spam corpus)
# Correctly spam:      94622  31.239%  (55.606% of spam corpus)
# False positives:       540  0.178%  (0.407% of nonspam,  26895 weighted)
# False negatives:     75543  24.940%  (44.394% of spam, 136370 weighted)
# Average score for spam:  5.9    nonspam: 0.5
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  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: 113.167 iterations/s, iteration no. 700

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132188  43.642%  (99.592% of non-spam corpus)
# Correctly spam:      94692  31.262%  (55.647% of spam corpus)
# False positives:       542  0.179%  (0.408% of nonspam,  27001 weighted)
# False negatives:     75473  24.917%  (44.353% of spam, 136175 weighted)
# Average score for spam:  5.9    nonspam: 0.5
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  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: 50000000.000 iterations/s, iteration no. 750

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132187  43.641%  (99.591% of non-spam corpus)
# Correctly spam:      94729  31.275%  (55.669% of spam corpus)
# False positives:       543  0.179%  (0.409% of nonspam,  27057 weighted)
# False negatives:     75436  24.905%  (44.331% of spam, 136080 weighted)
# Average score for spam:  5.9    nonspam: 0.5
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  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: 101.545 iterations/s, iteration no. 800

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132190  43.642%  (99.593% of non-spam corpus)
# Correctly spam:      94776  31.290%  (55.697% of spam corpus)
# False positives:       540  0.178%  (0.407% of nonspam,  26942 weighted)
# False negatives:     75389  24.889%  (44.303% of spam, 135878 weighted)
# Average score for spam:  5.9    nonspam: 0.5
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  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: 2657.314 iterations/s, iteration no. 850

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132190  43.642%  (99.593% of non-spam corpus)
# Correctly spam:      94314  31.138%  (55.425% of spam corpus)
# False positives:       540  0.178%  (0.407% of nonspam,  26931 weighted)
# False negatives:     75851  25.042%  (44.575% of spam, 138219 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  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: 91.865 iterations/s, iteration no. 900

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132189  43.642%  (99.592% of non-spam corpus)
# Correctly spam:      94335  31.144%  (55.437% of spam corpus)
# False positives:       541  0.179%  (0.408% of nonspam,  26968 weighted)
# False negatives:     75830  25.035%  (44.563% of spam, 138144 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  100.00%

Iter #     Field      Value
900        Best       2.506323e+05
           Average    2.507364e+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: 789.665 iterations/s, iteration no. 950

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132189  43.642%  (99.592% of non-spam corpus)
# Correctly spam:      94342  31.147%  (55.441% of spam corpus)
# False positives:       541  0.179%  (0.408% of nonspam,  26960 weighted)
# False negatives:     75823  25.033%  (44.559% of spam, 138127 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  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: 86.443 iterations/s, iteration no. 1000

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132189  43.642%  (99.592% of non-spam corpus)
# Correctly spam:      94380  31.159%  (55.464% of spam corpus)
# False positives:       541  0.179%  (0.408% of nonspam,  26962 weighted)
# False negatives:     75785  25.020%  (44.536% of spam, 137956 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  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: 506.170 iterations/s, iteration no. 1050

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132190  43.642%  (99.593% of non-spam corpus)
# Correctly spam:      94382  31.160%  (55.465% of spam corpus)
# False positives:       540  0.178%  (0.407% of nonspam,  26943 weighted)
# False negatives:     75783  25.020%  (44.535% of spam, 137975 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  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: 50000000.000 iterations/s, iteration no. 1100

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132190  43.642%  (99.593% of non-spam corpus)
# Correctly spam:      94383  31.160%  (55.466% of spam corpus)
# False positives:       540  0.178%  (0.407% of nonspam,  26944 weighted)
# False negatives:     75782  25.019%  (44.534% of spam, 137979 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  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: 320.786 iterations/s, iteration no. 1150

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132189  43.642%  (99.592% of non-spam corpus)
# Correctly spam:      94385  31.161%  (55.467% of spam corpus)
# False positives:       541  0.179%  (0.408% of nonspam,  26939 weighted)
# False negatives:     75780  25.019%  (44.533% of spam, 137943 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  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: 50000000.000 iterations/s, iteration no. 1200

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132196  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94877  31.323%  (55.756% of spam corpus)
# False positives:       534  0.176%  (0.402% of nonspam,  26722 weighted)
# False negatives:     75288  24.856%  (44.244% of spam, 135495 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  100.00%

Iter #     Field      Value
1200       Best       2.505520e+05
           Average    2.505666e+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: 240.202 iterations/s, iteration no. 1250

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132196  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94880  31.324%  (55.758% of spam corpus)
# False positives:       534  0.176%  (0.402% of nonspam,  26720 weighted)
# False negatives:     75285  24.855%  (44.242% of spam, 135483 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  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: 50000000.000 iterations/s, iteration no. 1300

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132196  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94886  31.326%  (55.761% of spam corpus)
# False positives:       534  0.176%  (0.402% of nonspam,  26728 weighted)
# False negatives:     75279  24.853%  (44.239% of spam, 135469 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  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: 203.350 iterations/s, iteration no. 1350

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132198  43.645%  (99.599% of non-spam corpus)
# Correctly spam:      94885  31.326%  (55.761% of spam corpus)
# False positives:       532  0.176%  (0.401% of nonspam,  26661 weighted)
# False negatives:     75280  24.853%  (44.239% of spam, 135475 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  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: 50000000.000 iterations/s, iteration no. 1400

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132198  43.645%  (99.599% of non-spam corpus)
# Correctly spam:      94885  31.326%  (55.761% of spam corpus)
# False positives:       532  0.176%  (0.401% of nonspam,  26661 weighted)
# False negatives:     75280  24.853%  (44.239% of spam, 135474 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  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: 178.809 iterations/s, iteration no. 1450

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132198  43.645%  (99.599% of non-spam corpus)
# Correctly spam:      94886  31.326%  (55.761% of spam corpus)
# False positives:       532  0.176%  (0.401% of nonspam,  26662 weighted)
# False negatives:     75279  24.853%  (44.239% of spam, 135471 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  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: 50000000.000 iterations/s, iteration no. 1500

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132198  43.645%  (99.599% of non-spam corpus)
# Correctly spam:      94886  31.326%  (55.761% of spam corpus)
# False positives:       532  0.176%  (0.401% of nonspam,  26662 weighted)
# False negatives:     75279  24.853%  (44.239% of spam, 135471 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  100.00%

Iter #     Field      Value
1500       Best       2.505351e+05
           Average    2.505406e+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: 163.605 iterations/s, iteration no. 1550

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132198  43.645%  (99.599% of non-spam corpus)
# Correctly spam:      94886  31.326%  (55.761% of spam corpus)
# False positives:       532  0.176%  (0.401% of nonspam,  26662 weighted)
# False negatives:     75279  24.853%  (44.239% of spam, 135471 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  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: 50000000.000 iterations/s, iteration no. 1600

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132198  43.645%  (99.599% of non-spam corpus)
# Correctly spam:      94885  31.326%  (55.761% of spam corpus)
# False positives:       532  0.176%  (0.401% of nonspam,  26661 weighted)
# False negatives:     75280  24.853%  (44.239% of spam, 135475 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  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: 147.747 iterations/s, iteration no. 1650

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132198  43.645%  (99.599% of non-spam corpus)
# Correctly spam:      94885  31.326%  (55.761% of spam corpus)
# False positives:       532  0.176%  (0.401% of nonspam,  26661 weighted)
# False negatives:     75280  24.853%  (44.239% of spam, 135475 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  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: 50000000.000 iterations/s, iteration no. 1700

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132198  43.645%  (99.599% of non-spam corpus)
# Correctly spam:      94885  31.326%  (55.761% of spam corpus)
# False positives:       532  0.176%  (0.401% of nonspam,  26662 weighted)
# False negatives:     75280  24.853%  (44.239% of spam, 135476 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  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: 140.654 iterations/s, iteration no. 1750

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132197  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94888  31.327%  (55.762% of spam corpus)
# False positives:       533  0.176%  (0.402% of nonspam,  26694 weighted)
# False negatives:     75277  24.853%  (44.238% of spam, 135461 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  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: 50000000.000 iterations/s, iteration no. 1800

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132197  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94888  31.327%  (55.762% of spam corpus)
# False positives:       533  0.176%  (0.402% of nonspam,  26694 weighted)
# False negatives:     75277  24.853%  (44.238% of spam, 135461 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  100.00%

Iter #     Field      Value
1800       Best       2.505346e+05
           Average    2.505537e+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: 137.014 iterations/s, iteration no. 1850

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132197  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94888  31.327%  (55.762% of spam corpus)
# False positives:       533  0.176%  (0.402% of nonspam,  26694 weighted)
# False negatives:     75277  24.853%  (44.238% of spam, 135461 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  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: 50000000.000 iterations/s, iteration no. 1900

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132197  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94888  31.327%  (55.762% of spam corpus)
# False positives:       533  0.176%  (0.402% of nonspam,  26694 weighted)
# False negatives:     75277  24.853%  (44.238% of spam, 135461 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  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: 137.163 iterations/s, iteration no. 1950

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132197  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94888  31.327%  (55.762% of spam corpus)
# False positives:       533  0.176%  (0.402% of nonspam,  26694 weighted)
# False negatives:     75277  24.853%  (44.238% of spam, 135462 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  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: 50000000.000 iterations/s, iteration no. 2000

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132197  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94888  31.327%  (55.762% of spam corpus)
# False positives:       533  0.176%  (0.402% of nonspam,  26695 weighted)
# False negatives:     75277  24.853%  (44.238% of spam, 135462 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  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: 137.876 iterations/s, iteration no. 2050

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132197  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94888  31.327%  (55.762% of spam corpus)
# False positives:       533  0.176%  (0.402% of nonspam,  26695 weighted)
# False negatives:     75277  24.853%  (44.238% of spam, 135462 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  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: 50000000.000 iterations/s, iteration no. 2100

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132197  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94888  31.327%  (55.762% of spam corpus)
# False positives:       533  0.176%  (0.402% of nonspam,  26695 weighted)
# False negatives:     75277  24.853%  (44.238% of spam, 135464 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  100.00%

Iter #     Field      Value
2100       Best       2.505331e+05
           Average    2.505855e+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: 140.031 iterations/s, iteration no. 2150

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132197  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94888  31.327%  (55.762% of spam corpus)
# False positives:       533  0.176%  (0.402% of nonspam,  26695 weighted)
# False negatives:     75277  24.853%  (44.238% of spam, 135464 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  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: 50000000.000 iterations/s, iteration no. 2200

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132197  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94805  31.300%  (55.714% of spam corpus)
# False positives:       533  0.176%  (0.402% of nonspam,  26694 weighted)
# False negatives:     75360  24.880%  (44.286% of spam, 135878 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1213 1358 0 0 0
Adapt (over, cross, repeat): 0 1 715
Performance: 53.558 iterations/s, iteration no. 2250

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132197  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94805  31.300%  (55.714% of spam corpus)
# False positives:       533  0.176%  (0.402% of nonspam,  26694 weighted)
# False negatives:     75360  24.880%  (44.286% of spam, 135878 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1305 1256 0 0 0
Adapt (over, cross, repeat): 0 2 566
Performance: 50.480 iterations/s, iteration no. 2300

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132197  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94315  31.138%  (55.426% of spam corpus)
# False positives:       533  0.176%  (0.402% of nonspam,  26694 weighted)
# False negatives:     75850  25.042%  (44.574% of spam, 138328 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1248 1164 0 0 0
Adapt (over, cross, repeat): 0 0 494
Performance: 50.028 iterations/s, iteration no. 2350

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132197  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94398  31.165%  (55.474% of spam corpus)
# False positives:       533  0.176%  (0.402% of nonspam,  26694 weighted)
# False negatives:     75767  25.014%  (44.526% of spam, 137913 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1233 1474 0 0 0
Adapt (over, cross, repeat): 0 1 817
Performance: 45.822 iterations/s, iteration no. 2400

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132197  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94398  31.165%  (55.474% of spam corpus)
# False positives:       533  0.176%  (0.402% of nonspam,  26694 weighted)
# False negatives:     75767  25.014%  (44.526% of spam, 137913 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  100.00%

Iter #     Field      Value
2400       Best       2.505329e+05
           Average    2.505895e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1286 3119 0 0 0
Adapt (over, cross, repeat): 0 0 2440
Performance: 82.977 iterations/s, iteration no. 2450

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132197  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94398  31.165%  (55.474% of spam corpus)
# False positives:       533  0.176%  (0.402% of nonspam,  26694 weighted)
# False negatives:     75767  25.014%  (44.526% of spam, 137913 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1326 1218 0 0 0
Adapt (over, cross, repeat): 0 1 515
Performance: 78.830 iterations/s, iteration no. 2500

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132197  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94398  31.165%  (55.474% of spam corpus)
# False positives:       533  0.176%  (0.402% of nonspam,  26694 weighted)
# False negatives:     75767  25.014%  (44.526% of spam, 137913 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1252 1435 0 0 0
Adapt (over, cross, repeat): 1 2 770
Performance: 69.631 iterations/s, iteration no. 2550

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132197  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94398  31.165%  (55.474% of spam corpus)
# False positives:       533  0.176%  (0.402% of nonspam,  26694 weighted)
# False negatives:     75767  25.014%  (44.526% of spam, 137913 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1358 2626 0 0 0
Adapt (over, cross, repeat): 0 1 1905
Performance: 44.706 iterations/s, iteration no. 2600

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132197  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94398  31.165%  (55.474% of spam corpus)
# False positives:       533  0.176%  (0.402% of nonspam,  26694 weighted)
# False negatives:     75767  25.014%  (44.526% of spam, 137913 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1254 1748 0 0 0
Adapt (over, cross, repeat): 0 2 1085
Performance: 171.220 iterations/s, iteration no. 2650

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132197  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94398  31.165%  (55.474% of spam corpus)
# False positives:       533  0.176%  (0.402% of nonspam,  26694 weighted)
# False negatives:     75767  25.014%  (44.526% of spam, 137913 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1299 2367 0 0 0
Adapt (over, cross, repeat): 0 0 1665
Performance: 82.191 iterations/s, iteration no. 2700

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132197  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94402  31.167%  (55.477% of spam corpus)
# False positives:       533  0.176%  (0.402% of nonspam,  26694 weighted)
# False negatives:     75763  25.013%  (44.523% of spam, 137894 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  100.00%

Iter #     Field      Value
2700       Best       2.505324e+05
           Average    2.505661e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1284 2973 0 0 0
Adapt (over, cross, repeat): 0 2 2285
Performance: 46.013 iterations/s, iteration no. 2750

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132197  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94402  31.167%  (55.477% of spam corpus)
# False positives:       533  0.176%  (0.402% of nonspam,  26694 weighted)
# False negatives:     75763  25.013%  (44.523% of spam, 137894 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1284 2055 0 0 0
Adapt (over, cross, repeat): 0 0 1361
Performance: 153.920 iterations/s, iteration no. 2800

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132197  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94402  31.167%  (55.477% of spam corpus)
# False positives:       533  0.176%  (0.402% of nonspam,  26695 weighted)
# False negatives:     75763  25.013%  (44.523% of spam, 137894 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1263 2120 0 0 0
Adapt (over, cross, repeat): 0 1 1441
Performance: 84.971 iterations/s, iteration no. 2850

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132197  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94402  31.167%  (55.477% of spam corpus)
# False positives:       533  0.176%  (0.402% of nonspam,  26695 weighted)
# False negatives:     75763  25.013%  (44.523% of spam, 137894 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1213 1976 0 0 0
Adapt (over, cross, repeat): 0 0 1319
Performance: 61.978 iterations/s, iteration no. 2900

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132197  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94402  31.167%  (55.477% of spam corpus)
# False positives:       533  0.176%  (0.402% of nonspam,  26695 weighted)
# False negatives:     75763  25.013%  (44.523% of spam, 137894 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1198 647 0 0 0
Adapt (over, cross, repeat): 0 3 0
Performance: 72.626 iterations/s, iteration no. 2950

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132197  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94402  31.167%  (55.477% of spam corpus)
# False positives:       533  0.176%  (0.402% of nonspam,  26695 weighted)
# False negatives:     75763  25.013%  (44.523% of spam, 137894 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1271 2350 0 0 0
Adapt (over, cross, repeat): 0 1 1667
Performance: 49.663 iterations/s, iteration no. 3000

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132197  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94402  31.167%  (55.477% of spam corpus)
# False positives:       533  0.176%  (0.402% of nonspam,  26695 weighted)
# False negatives:     75763  25.013%  (44.523% of spam, 137895 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  100.00%

Iter #     Field      Value
3000       Best       2.505322e+05
           Average    2.506051e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1235 669 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 55.741 iterations/s, iteration no. 3050

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132197  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94402  31.167%  (55.477% of spam corpus)
# False positives:       533  0.176%  (0.402% of nonspam,  26695 weighted)
# False negatives:     75763  25.013%  (44.523% of spam, 137895 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1297 2690 0 0 0
Adapt (over, cross, repeat): 0 0 1988
Performance: 38.391 iterations/s, iteration no. 3100

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132197  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94402  31.167%  (55.477% of spam corpus)
# False positives:       533  0.176%  (0.402% of nonspam,  26695 weighted)
# False negatives:     75763  25.013%  (44.523% of spam, 137895 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1330 3327 0 0 0
Adapt (over, cross, repeat): 0 3 2604
Performance: 58.148 iterations/s, iteration no. 3150

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132197  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94402  31.167%  (55.477% of spam corpus)
# False positives:       533  0.176%  (0.402% of nonspam,  26698 weighted)
# False negatives:     75763  25.013%  (44.523% of spam, 137898 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1282 2183 0 0 0
Adapt (over, cross, repeat): 0 0 1488
Performance: 44.075 iterations/s, iteration no. 3200

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132197  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94402  31.167%  (55.477% of spam corpus)
# False positives:       533  0.176%  (0.402% of nonspam,  26698 weighted)
# False negatives:     75763  25.013%  (44.523% of spam, 137898 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1298 1199 0 0 0
Adapt (over, cross, repeat): 0 0 495
Performance: 315.547 iterations/s, iteration no. 3250

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132197  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94402  31.167%  (55.477% of spam corpus)
# False positives:       533  0.176%  (0.402% of nonspam,  26698 weighted)
# False negatives:     75763  25.013%  (44.523% of spam, 137898 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1290 1942 0 0 0
Adapt (over, cross, repeat): 0 1 1252
Performance: 132.962 iterations/s, iteration no. 3300

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132197  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94402  31.167%  (55.477% of spam corpus)
# False positives:       533  0.176%  (0.402% of nonspam,  26698 weighted)
# False negatives:     75763  25.013%  (44.523% of spam, 137898 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  100.00%

Iter #     Field      Value
3300       Best       2.505317e+05
           Average    2.505627e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1309 1845 0 0 0
Adapt (over, cross, repeat): 0 1 1134
Performance: 82.807 iterations/s, iteration no. 3350

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132197  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94402  31.167%  (55.477% of spam corpus)
# False positives:       533  0.176%  (0.402% of nonspam,  26698 weighted)
# False negatives:     75763  25.013%  (44.523% of spam, 137898 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1223 2186 0 0 0
Adapt (over, cross, repeat): 0 1 1523
Performance: 57.682 iterations/s, iteration no. 3400

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132197  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94402  31.167%  (55.477% of spam corpus)
# False positives:       533  0.176%  (0.402% of nonspam,  26698 weighted)
# False negatives:     75763  25.013%  (44.523% of spam, 137898 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1235 650 0 0 0
Adapt (over, cross, repeat): 0 1 0
Performance: 65.841 iterations/s, iteration no. 3450

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132197  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94399  31.166%  (55.475% of spam corpus)
# False positives:       533  0.176%  (0.402% of nonspam,  26698 weighted)
# False negatives:     75766  25.014%  (44.525% of spam, 137913 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1297 3603 0 0 0
Adapt (over, cross, repeat): 1 0 2896
Performance: 36.255 iterations/s, iteration no. 3500

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132197  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94399  31.166%  (55.475% of spam corpus)
# False positives:       533  0.176%  (0.402% of nonspam,  26698 weighted)
# False negatives:     75766  25.014%  (44.525% of spam, 137913 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1251 2499 0 0 0
Adapt (over, cross, repeat): 0 1 1822
Performance: 66.409 iterations/s, iteration no. 3550

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132197  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94399  31.166%  (55.475% of spam corpus)
# False positives:       533  0.176%  (0.402% of nonspam,  26698 weighted)
# False negatives:     75766  25.014%  (44.525% of spam, 137913 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1272 3036 0 0 0
Adapt (over, cross, repeat): 0 3 2338
Performance: 40.648 iterations/s, iteration no. 3600

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132197  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94399  31.166%  (55.475% of spam corpus)
# False positives:       533  0.176%  (0.402% of nonspam,  26698 weighted)
# False negatives:     75766  25.014%  (44.525% of spam, 137913 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  100.00%

Iter #     Field      Value
3600       Best       2.505315e+05
           Average    2.505620e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1281 689 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 367.996 iterations/s, iteration no. 3650

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132197  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94391  31.163%  (55.470% of spam corpus)
# False positives:       533  0.176%  (0.402% of nonspam,  26698 weighted)
# False negatives:     75774  25.017%  (44.530% of spam, 137953 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1216 658 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 3574.000 iterations/s, iteration no. 3700

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132197  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94391  31.163%  (55.470% of spam corpus)
# False positives:       533  0.176%  (0.402% of nonspam,  26698 weighted)
# False negatives:     75774  25.017%  (44.530% of spam, 137953 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1266 1493 0 0 0
Adapt (over, cross, repeat): 0 2 806
Performance: 42.836 iterations/s, iteration no. 3750

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132197  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94391  31.163%  (55.470% of spam corpus)
# False positives:       533  0.176%  (0.402% of nonspam,  26698 weighted)
# False negatives:     75774  25.017%  (44.530% of spam, 137953 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1251 675 0 0 0
Adapt (over, cross, repeat): 0 1 0
Performance: 772.380 iterations/s, iteration no. 3800

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132197  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94391  31.163%  (55.470% of spam corpus)
# False positives:       533  0.176%  (0.402% of nonspam,  26698 weighted)
# False negatives:     75774  25.017%  (44.530% of spam, 137953 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1350 3234 0 0 0
Adapt (over, cross, repeat): 0 1 2503
Performance: 31.162 iterations/s, iteration no. 3850

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132197  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94391  31.163%  (55.470% of spam corpus)
# False positives:       533  0.176%  (0.402% of nonspam,  26698 weighted)
# False negatives:     75774  25.017%  (44.530% of spam, 137953 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1269 2022 0 0 0
Adapt (over, cross, repeat): 1 0 1333
Performance: 59.801 iterations/s, iteration no. 3900

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132197  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94391  31.163%  (55.470% of spam corpus)
# False positives:       533  0.176%  (0.402% of nonspam,  26698 weighted)
# False negatives:     75774  25.017%  (44.530% of spam, 137953 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  100.00%

Iter #     Field      Value
3900       Best       2.505313e+05
           Average    2.506477e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1299 715 0 0 0
Adapt (over, cross, repeat): 1 2 1
Performance: 68.509 iterations/s, iteration no. 3950

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132197  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94391  31.163%  (55.470% of spam corpus)
# False positives:       533  0.176%  (0.402% of nonspam,  26698 weighted)
# False negatives:     75774  25.017%  (44.530% of spam, 137953 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1303 1268 0 0 0
Adapt (over, cross, repeat): 0 1 554
Performance: 64.581 iterations/s, iteration no. 4000

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132197  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94391  31.163%  (55.470% of spam corpus)
# False positives:       533  0.176%  (0.402% of nonspam,  26698 weighted)
# False negatives:     75774  25.017%  (44.530% of spam, 137953 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1221 1172 0 0 0
Adapt (over, cross, repeat): 0 2 507
Performance: 64.525 iterations/s, iteration no. 4050

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132197  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94391  31.163%  (55.470% of spam corpus)
# False positives:       533  0.176%  (0.402% of nonspam,  26698 weighted)
# False negatives:     75774  25.017%  (44.530% of spam, 137953 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1197 651 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 77.110 iterations/s, iteration no. 4100

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132197  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94391  31.163%  (55.470% of spam corpus)
# False positives:       533  0.176%  (0.402% of nonspam,  26698 weighted)
# False negatives:     75774  25.017%  (44.530% of spam, 137953 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1207 655 0 0 0
Adapt (over, cross, repeat): 0 0 0
Performance: 97.410 iterations/s, iteration no. 4150

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132197  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94391  31.163%  (55.470% of spam corpus)
# False positives:       533  0.176%  (0.402% of nonspam,  26698 weighted)
# False negatives:     75774  25.017%  (44.530% of spam, 137953 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  100.00%

1The Best Evaluation: 2.505313e+05.
The Best String:

# SUMMARY for threshold 5.0:
# Correctly non-spam: 132197  43.644%  (99.598% of non-spam corpus)
# Correctly spam:      94391  31.163%  (55.470% of spam corpus)
# False positives:       533  0.176%  (0.402% of nonspam,  26698 weighted)
# False negatives:     75774  25.017%  (44.530% of spam, 137953 weighted)
# Average score for spam:  5.9    nonspam: 0.6
# Average for false-pos:   7.8  false-neg: 1.8
# TOTAL:              302895  100.00%

score ACCT_PHISHING_MANY             2.999
score AC_BR_BONANZA                  0.001
score AC_DIV_BONANZA                 0.001
score AC_FROM_MANY_DOTS              2.999
score AC_HTML_NONSENSE_TAGS          1.999
score ADMITS_SPAM                    4.199
score ADVANCE_FEE_2_NEW_FRM_MNY      1.916
score ADVANCE_FEE_2_NEW_MONEY        1.999
score ADVANCE_FEE_3_NEW              3.499
score ADVANCE_FEE_3_NEW_FRM_MNY      0.001
score ADVANCE_FEE_3_NEW_MONEY        3.099
score ADVANCE_FEE_4_NEW              2.699
score ADVANCE_FEE_4_NEW_FRM_MNY      0.001
score ADVANCE_FEE_4_NEW_MONEY        0.000
score ADVANCE_FEE_5_NEW              2.399
score ADVANCE_FEE_5_NEW_FRM_MNY      0.001
score ADVANCE_FEE_5_NEW_MONEY        0.001
score AD_PREFS                       0.004
score AMAZON_IMG_NOT_RCVD_AMZN       2.499
score ANY_PILL_PRICE                 0.358
score APP_DEVELOPMENT_NORDNS         1.999
score AXB_XMAILER_MIMEOLE_OL_024C2   3.357
score AXB_XMAILER_MIMEOLE_OL_1ECD5   2.540
score AXB_XM_FORGED_OL2600           0.308
score BIGNUM_EMAILS_FREEM            2.999
score BIGNUM_EMAILS_MANY             2.999
score BITCOIN_EXTORT_01              4.999
score BITCOIN_MALF_HTML              3.499
score BITCOIN_ONAN                   3.000
score BITCOIN_SPAM_02                2.499
score BITCOIN_SPAM_07                3.499
score BITCOIN_SPAM_09                0.413
score BITCOIN_XPRIO                  0.001
score BITCOIN_YOUR_INFO              2.999
score BODY_SINGLE_URI                2.499
score BODY_SINGLE_WORD               2.499
score BOGUS_MIME_VERSION             3.499
score BULK_RE_SUSP_NTLD              1.000
score CK_HELO_GENERIC                0.249
score CONTENT_AFTER_HTML             2.500
score CTE_8BIT_MISMATCH              0.999
score DEAR_BENEFICIARY               3.599
score DOS_RCVD_IP_TWICE_B            3.399
score ENCRYPTED_MESSAGE              -0.999
score FACEBOOK_IMG_NOT_RCVD_FB       1.999
score FILL_THIS_FORM                 1.191
score FONT_INVIS_DIRECT              0.001
score FONT_INVIS_HTML_NOHTML         3.000
score FONT_INVIS_LONG_LINE           1.682
score FONT_INVIS_MSGID               2.499
score FONT_INVIS_NORDNS              1.376
score FORM_FRAUD_5                   2.680
score FOUND_YOU                      3.249
score FREEMAIL_DOC_PDF_BCC           3.099
score FREEMAIL_FORGED_FROMDOMAIN     0.249
score FROMSPACE                      3.599
score FROM_2_EMAILS_SHORT            1.802
score FROM_IN_TO_AND_SUBJ            2.499
score FROM_MISSPACED                 1.999
score FROM_MISSP_DYNIP               0.001
score FROM_MISSP_EH_MATCH            1.999
score FROM_MISSP_FREEMAIL            3.599
score FROM_MISSP_MSFT                2.753
score FROM_MISSP_PHISH               3.499
score FROM_MISSP_TO_UNDISC           2.899
score FROM_MISSP_USER                2.087
score FROM_MISSP_XPRIO               2.499
score FROM_MULTI_NORDNS              2.299
score FROM_NTLD_LINKBAIT             1.685
score FROM_NTLD_REPLY_FREEMAIL       1.744
score FROM_SUSPICIOUS_NTLD           0.499
score FROM_SUSPICIOUS_NTLD_FP        2.000
score FROM_WSP_TRAIL                 2.808
score FSL_CTYPE_WIN1251              1.208
score FSL_NEW_HELO_USER              1.265
score FUZZY_AMAZON                   2.299
score FUZZY_BITCOIN                  3.699
score FUZZY_CLICK_HERE               2.799
score FUZZY_WALLET                   3.299
score FUZZY_WELLSFARGO               2.368
score GAPPY_LOW_CONTRAST             1.028
score GB_FAKE_RF_SHORT               0.001
score GB_FREEMAIL_DISPTO             0.499
score GOOG_MALWARE_DNLD              1.674
score GOOG_REDIR_HTML_ONLY           1.999
score GOOG_REDIR_NORDNS              2.605
score GOOG_REDIR_SHORT               2.299
score GOOG_STO_EMAIL_PHISH           2.025
score GOOG_STO_HTML_PHISH            2.496
score GOOG_STO_NOIMG_HTML            2.999
score HAS_X_OUTGOING_SPAM_STAT       1.999
score HDRS_LCASE_IMGONLY             0.099
score HDRS_MISSP                     2.499
score HDR_ORDER_FTSDMCXX_DIRECT      1.999
score HDR_ORDER_FTSDMCXX_NORDNS      2.347
score HEADER_FROM_DIFFERENT_DOMAINS  0.249
score HELO_NO_DOMAIN                 2.639
score HK_LOTTO                       0.999
score HK_NAME_MR_MRS                 0.999
score HK_RANDOM_ENVFROM              1.000
score HK_RANDOM_FROM                 0.999
score HK_RANDOM_REPLYTO              0.999
score HK_SCAM                        0.047
score HK_SPAMMY_FILENAME             2.880
score HK_WIN                         0.999
score HOSTED_IMG_DIRECT_MX           3.457
score HOSTED_IMG_FREEM               3.499
score HOSTED_IMG_MULTI               1.533
score HOSTED_IMG_MULTI_PUB_01        2.999
score HTML_ENTITY_ASCII              2.999
score HTML_FONT_TINY_NORDNS          1.999
score HTML_OFF_PAGE                  2.204
score HTML_TAG_BALANCE_CENTER        4.199
score HTML_TEXT_INVISIBLE_STYLE      3.499
score IMG_ONLY_FM_DOM_INFO           2.205
score JH_SPAMMY_HEADERS              3.499
score LINKEDIN_IMG_NOT_RCVD_LNKN     2.499
score LIST_PARTIAL_SHORT_MSG         2.202
score LONGLN_LOW_CONTRAST            2.499
score LONG_HEX_URI                   2.999
score LONG_IMG_URI                   1.936
score LONG_INVISIBLE_TEXT            0.001
score LOTS_OF_MONEY                  0.010
score LOTTO_AGENT                    0.390
score LOTTO_DEPT                     1.021
score MALWARE_NORDNS                 3.275
score MALW_ATTACH                    2.399
score MANY_SPAN_IN_TEXT              1.635
score MILLION_HUNDRED                0.001
score MILLION_USD                    0.001
score MIMEOLE_DIRECT_TO_MX           0.001
score MIXED_AREA_CASE                1.136
score MIXED_CENTER_CASE              2.499
score MIXED_ES                       3.752
score MIXED_FONT_CASE                1.273
score MIXED_HREF_CASE                0.539
score MIXED_IMG_CASE                 2.512
score MONEY_ATM_CARD                 1.470
score MONEY_FORM                     0.001
score MONEY_FORM_SHORT               2.499
score MONEY_FRAUD_3                  3.099
score MONEY_FRAUD_5                  3.299
score MONEY_FRAUD_8                  3.499
score MONEY_FREEMAIL_REPTO           2.999
score MONEY_FROM_41                  0.546
score MONEY_FROM_MISSP               1.999
score MSGID_HDR_MALF                 1.867
score MSGID_NOFQDN1                  1.394
score MSM_PRIO_REPTO                 2.361
score NA_DOLLARS                     1.499
score NEW_PRODUCTS                   1.249
score NICE_REPLY_A                   -0.001
score NORDNS_LOW_CONTRAST            1.885
score NOT_SPAM                       2.499
score NO_FM_NAME_IP_HOSTN            2.399
score NSL_RCVD_FROM_USER             1.222
score NSL_RCVD_HELO_USER             2.380
score OBFU_JVSCR_ESC                 2.399
score OBFU_TEXT_ATTACH               0.001
score OBFU_UNSUB_UL                  2.299
score ODD_FREEM_REPTO                1.827
score OFFER_ONLY_AMERICA             0.616
score ONLINE_MKTG_CNSLT              2.399
score PDS_BTC_ID                     0.499
score PDS_BTC_MSGID                  0.999
score PDS_DBL_URL_TNB_RUNON          1.999
score PDS_EMPTYSUBJ_URISHRT          1.499
score PDS_FRNOM_TODOM_DBL_URL        0.001
score PDS_FRNOM_TODOM_NAKED_TO       1.499
score PDS_FROM_NAME_TO_DOMAIN        1.999
score PDS_HP_HELO_NORDNS             0.999
score PDS_OTHER_BAD_TLD              1.999
score PDS_PHPEXP_BOT                 1.019
score PDS_PHP_EVAL                   1.248
score PDS_RDNS_DYNAMIC_FP            0.010
score PDS_SHORTFWD_URISHRT           1.499
score PDS_TINYSUBJ_URISHRT           1.499
score PDS_TONAME_EQ_TOLOCAL_FREEM_FORGE 1.999
score PDS_TONAME_EQ_TOLOCAL_HDRS_LCASE 1.999
score PDS_TO_EQ_FROM_NAME            3.199
score PHP_ORIG_SCRIPT                2.499
score PHP_ORIG_SCRIPT_EVAL           2.819
score PHP_SCRIPT                     2.499
score PP_MIME_FAKE_ASCII_TEXT        1.000
score RAND_HEADER_LIST_SPOOF         2.999
score RAND_MKTG_HEADER               1.999
score RATWARE_NO_RDNS                1.575
score RDNS_NUM_TLD_XM                0.470
score READY_TO_SHIP                  1.249
score REPLYTO_EMPTY                  2.151
score REPTO_419_FRAUD                2.999
score REPTO_419_FRAUD_GM             2.999
score REPTO_419_FRAUD_GM_LOOSE       1.000
score RISK_FREE                      3.499
score SCRIPT_GIBBERISH               2.399
score SENDGRID_REDIR                 1.500
score SEO_SUSP_NTLD                  0.990
score SHOPIFY_IMG_NOT_RCVD_SFY       2.499
score SHORTENED_URL_SRC              2.699
score SHORTENER_SHORT_IMG            0.990
score SHORTENER_SHORT_SUBJ           2.999
score SHORT_SHORTNER                 1.999
score STATIC_XPRIO_OLE               0.001
score STY_INVIS_DIRECT               2.499
score SUSP_UTF8_WORD_FROM            1.999
score SUSP_UTF8_WORD_SUBJ            1.999
score THIS_AD                        1.999
score THIS_IS_ADV_SUSP_NTLD          0.001
score TONOM_EQ_TOLOC_SHRT_SHRTNER    1.499
score TO_EQ_FM_DIRECT_MX             0.000
score TO_IN_SUBJ                     0.099
score TO_NAME_SUBJ_NO_RDNS           2.527
score TO_NO_BRKTS_DYNIP              0.001
score TO_NO_BRKTS_FROM_MSSP          2.499
score TO_NO_BRKTS_HTML_IMG           1.999
score TO_NO_BRKTS_HTML_ONLY          1.999
score TO_NO_BRKTS_NORDNS_HTML        1.999
score TO_NO_BRKTS_PCNT               2.500
score TRANSFORM_LIFE                 2.499
score TVD_DOLLARS_US                 2.499
score TVD_IP_SING_HEX                1.999
score TVD_PH_BODY_META               2.899
score TVD_SPACE_ENC_FM_MIME          1.999
score UNDISC_FREEM                   3.999
score UNDISC_MONEY                   3.999
score UNICODE_OBFU_ASC               2.499
score UNICODE_OBFU_ZW                3.499
score URI_DOTEDU                     2.000
score URI_DQ_UNSUB                   2.299
score URI_FIREBASEAPP                2.999
score URI_GOOGLE_PROXY               2.899
score URI_GOOG_STO_SPAMMY            2.999
score URI_HEX_IP                     1.380
score URI_IN_URI_10                  2.899
score URI_PHISH                      3.999
score URI_PHP_REDIR                  3.500
score URI_TRY_3LD                    1.999
score URI_WPADMIN                    2.799
score URI_WP_HACKED_2                2.499
score VFY_ACCT_NORDNS                2.549
score WANT_TO_ORDER                  2.749
score WORD_INVIS_MANY                3.000
score XFER_LOTSA_MONEY               0.999
score XM_LIGHT_HEAVY                 2.499
score XM_RANDOM                      2.499
score XM_RECPTID                     2.999
score YOU_INHERIT                    2.499
score ACT_NOW_CAPS                   0.100
score AC_POST_EXTRAS                 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 ADULT_DATING_COMPANY           10.000
score ADVANCE_FEE_2_NEW_FORM         1.000
score ALIBABA_IMG_NOT_RCVD_ALI       1.000
score ALL_TRUSTED                    -1.000
score ANY_BOUNCE_MESSAGE             0.100
score APOSTROPHE_FROM                0.148
score APP_DEVELOPMENT_FREEM          1.000
score BAD_CREDIT                     0.100
score BAD_ENC_HEADER                 0.001
score BANG_GUAR                      1.000
score BANKING_LAWS                   2.399
score BASE64_LENGTH_78_79            0.100
score BASE64_LENGTH_79_INF           1.379
score BEBEE_IMG_NOT_RCVD_BB          1.000
score BILLION_DOLLARS                0.001
score BITCOIN_BOMB                   1.000
score BITCOIN_DEADLINE               1.000
score BITCOIN_EXTORT_02              1.000
score BITCOIN_IMGUR                  1.000
score BITCOIN_MALWARE                1.000
score BITCOIN_OBFU_SUBJ              1.000
score BITCOIN_PAY_ME                 1.000
score BITCOIN_SPAM_01                1.000
score BITCOIN_SPAM_03                1.000
score BITCOIN_SPAM_04                1.000
score BITCOIN_SPAM_06                1.000
score BITCOIN_SPAM_08                1.000
score BITCOIN_SPAM_10                1.000
score BITCOIN_SPAM_11                1.000
score BITCOIN_SPAM_12                1.000
score BODY_8BITS                     1.500
score BODY_EMAIL_419_FRAUD_GM        1.000
score BODY_ENHANCEMENT               0.927
score BODY_ENHANCEMENT2              0.100
score BODY_URI_ONLY                  1.000
score BOGUS_MSM_HDRS                 1.000
score BOMB_FREEM                     1.000
score BOMB_MONEY                     1.000
score BOUNCE_MESSAGE                 0.100
score BTC_ORG                        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 CRBOUNCE_MESSAGE               0.100
score CTYPE_001C_B                   0.001
score CURR_PRICE                     0.001
score DATE_IN_FUTURE_03_06           3.399
score DATE_IN_FUTURE_06_12           2.899
score DATE_IN_FUTURE_12_24           2.603
score DATE_IN_FUTURE_24_48           2.598
score DATE_IN_FUTURE_48_96           2.384
score DATE_IN_PAST_03_06             2.399
score DATE_IN_PAST_06_12             1.699
score DATE_IN_PAST_12_24             0.001
score DATE_IN_PAST_24_48             1.109
score DATE_IN_PAST_96_XX             2.600
score DAY_I_EARNED                   1.000
score DC_GIF_UNO_LARGO               0.001
score DC_IMAGE_SPAM_HTML             0.100
score DC_IMAGE_SPAM_TEXT             0.100
score DC_PNG_UNO_LARGO               0.001
score DEAR_FRIEND                    2.683
score DEAR_SOMETHING                 1.999
score DEAR_WINNER                    3.099
score DIET_1                         0.714
score DKIM_INVALID                   0.100
score DOS_OE_TO_MX                   2.602
score DOS_OE_TO_MX_IMAGE             2.886
score DOS_OUTLOOK_TO_MX              2.636
score DOS_RCVD_IP_TWICE_C            2.599
score DOS_STOCK_BAT                  0.001
score DOTGOV_IMAGE                   1.000
score DRUGS_ANXIETY                  0.100
score DRUGS_DIET                     2.660
score DRUGS_ERECTILE                 1.778
score DRUGS_ERECTILE_OBFU            1.324
score DRUGS_MANYKINDS                2.001
score DRUGS_MUSCLE                   0.001
score DRUGS_SMEAR1                   3.300
score DRUG_ED_CAPS                   2.799
score DRUG_ED_ONLINE                 0.696
score DRUG_ED_SILD                   0.001
score DYNAMIC_IMGUR                  1.000
score DYN_RDNS_AND_INLINE_IMAGE      1.345
score DYN_RDNS_SHORT_HELO_HTML       0.001
score DYN_RDNS_SHORT_HELO_IMAGE      1.825
score EBAY_IMG_NOT_RCVD_EBAY         1.000
score EMPTY_MESSAGE                  2.195
score EM_ROLEX                       0.595
score END_FUTURE_EMAILS              1.000
score ENGLISH_UCE_SUBJECT            0.953
score ENVFROM_GOOG_TRIX              1.000
score EXCUSE_4                       2.399
score EXCUSE_REMOVE                  2.907
score FAKE_REPLY_C                   0.688
score FBI_MONEY                      1.000
score FBI_SPOOF                      1.000
score FILL_THIS_FORM_LOAN            2.092
score FILL_THIS_FORM_LONG            3.800
score FIN_FREE                       0.100
score FONT_INVIS_DOTGOV              1.000
score FONT_INVIS_POSTEXTRAS          1.000
score FORGED_HOTMAIL_RCVD2           0.001
score FORGED_MSGID_EXCITE            2.399
score FORGED_MSGID_YAHOO             0.100
score FORGED_MUA_EUDORA              2.828
score FORGED_MUA_IMS                 2.399
score FORGED_MUA_MOZILLA             2.399
score FORGED_MUA_OIMO                2.600
score FORGED_MUA_OUTLOOK             3.999
score FORGED_MUA_THEBAT_BOUN         3.046
score FORGED_OUTLOOK_HTML            0.001
score FORGED_OUTLOOK_TAGS            0.003
score FORGED_TELESP_RCVD             2.499
score FORGED_YAHOO_RCVD              2.397
score FORM_FRAUD                     1.000
score FREEMAIL_ENVFROM_END_DIGIT     0.250
score FREEMAIL_FORGED_REPLYTO        1.199
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             2.700
score FRNAME_IN_MSG_XPRIO_NO_SUB     1.000
score FROM_ADDR_WS                   1.000
score FROM_BLANK_NAME                2.099
score FROM_DOMAIN_NOVOWEL            0.500
score FROM_EXCESS_BASE64             0.001
score FROM_ILLEGAL_CHARS             2.192
score FROM_LOCAL_DIGITS              0.001
score FROM_LOCAL_NOVOWEL             0.500
score FROM_MISSP_REPLYTO             1.000
score FROM_NO_USER                   0.001
score FROM_NUMERIC_TLD               1.000
score FROM_STARTS_WITH_NUMS          2.801
score FSL_FAKE_HOTMAIL_RVCD          2.631
score FSL_HELO_BARE_IP_1             2.598
score FSL_HELO_DEVICE                0.100
score FSL_HELO_NON_FQDN_1            2.361
score FSL_INTERIA_ABUSE              3.899
score FUZZY_CPILL                    0.001
score FUZZY_CREDIT                   1.699
score FUZZY_MILLION                  0.100
score FUZZY_PHARMACY                 2.960
score FUZZY_PHENT                    2.799
score FUZZY_PRICES                   1.821
score FUZZY_VPILL                    0.001
score FUZZY_XPILL                    0.100
score GAPPY_SALES_LEADS_FREEM        1.000
score GAPPY_SUBJECT                  0.100
score GB_BITCOIN_CP                  1.000
score GB_FORGED_MUA_POSTFIX          1.000
score GB_FREEMAIL_DISPTO_NOTFREEM    0.500
score GB_GOOGLE_OBFUR                0.750
score GOOGLE_DOCS_PHISH              1.000
score GOOGLE_DOCS_PHISH_MANY         1.000
score GOOGLE_DOC_SUSP                1.000
score GOOGLE_DRIVE_REPLY_BAD_NTLD    1.000
score GOOG_STO_HTML_PHISH_MANY       1.000
score GOOG_STO_IMG_HTML              1.000
score GOOG_STO_IMG_NOHTML            1.000
score GTUBE                          1000.000
score GUARANTEED_100_PERCENT         2.699
score HAS_X_NO_RELAY                 1.000
score HEADER_SPAM                    2.499
score HELO_DYNAMIC_CHELLO_NL         2.412
score HELO_DYNAMIC_DHCP              2.602
score HELO_DYNAMIC_DIALIN            2.629
score HELO_DYNAMIC_HCC               4.299
score HELO_DYNAMIC_HEXIP             2.321
score HELO_DYNAMIC_HOME_NL           2.385
score HELO_DYNAMIC_IPADDR            2.633
score HELO_DYNAMIC_IPADDR2           2.815
score HELO_DYNAMIC_SPLIT_IP          3.031
score HELO_LOCALHOST                 2.639
score HELO_OEM                       2.899
score HELO_STATIC_HOST               -0.001
score HEXHASH_WORD                   1.000
score HIDE_WIN_STATUS                0.001
score HK_CTE_RAW                     1.000
score HK_NAME_DRUGS                  4.299
score HK_RCVD_IP_MULTICAST           1.000
score HOSTED_IMG_DQ_UNSUB            1.000
score HTML_CHARSET_FARAWAY           0.500
score HTML_COMMENT_SAVED_URL         0.198
score HTML_EMBEDS                    0.001
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         0.713
score HTML_FONT_SIZE_HUGE            0.001
score HTML_FONT_SIZE_LARGE           0.001
score HTML_IMAGE_ONLY_04             1.680
score HTML_IMAGE_ONLY_08             0.585
score HTML_IMAGE_ONLY_12             1.381
score HTML_IMAGE_ONLY_16             1.969
score HTML_IMAGE_ONLY_20             2.109
score HTML_IMAGE_ONLY_24             2.799
score HTML_IMAGE_ONLY_28             2.799
score HTML_IMAGE_ONLY_32             2.196
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          0.001
score HTML_OBFUSCATE_05_10           0.601
score HTML_OBFUSCATE_10_20           0.174
score HTML_OBFUSCATE_20_30           2.499
score HTML_OBFUSCATE_90_100          2.000
score HTML_SHORT_CENTER              3.799
score HTML_SHORT_LINK_IMG_1          2.215
score HTML_SHORT_LINK_IMG_2          1.419
score HTML_SHORT_LINK_IMG_3          0.691
score HTML_SHRT_CMNT_OBFU_MANY       1.000
score HTML_SINGLET_MANY              1.000
score HTML_TAG_BALANCE_BODY          0.100
score HTML_TAG_BALANCE_HEAD          0.520
score HTML_TEXT_INVISIBLE_FONT       1.000
score HTML_TITLE_SUBJ_DIFF           1.149
score HTTPS_HTTP_MISMATCH            0.100
score HTTP_ESCAPED_HOST              0.100
score HTTP_EXCESSIVE_ESCAPES         0.001
score IMPOTENCE                      1.539
score INVALID_DATE                   1.701
score INVALID_DATE_TZ_ABSURD         0.262
score INVALID_MSGID                  2.602
score INVESTMENT_ADVICE              0.100
score IP_LINK_PLUS                   0.001
score JH_SPAMMY_PATTERN01            1.000
score JH_SPAMMY_PATTERN02            1.000
score JOIN_MILLIONS                  0.100
score KB_DATE_CONTAINS_TAB           3.800
score KB_FAKED_THE_BAT               2.432
score KB_RATWARE_MSGID               4.099
score KB_RATWARE_OUTLOOK_MID         4.400
score KHOP_HELO_FCRDNS               0.400
score LIST_PRTL_PUMPDUMP             1.000
score LIST_PRTL_SAME_USER            1.000
score LIVEFILESTORE                  0.100
score LOCALPART_IN_SUBJECT           0.001
score LONGWORDS                      2.199
score LONG_TERM_PRICE                0.001
score LOTTERY_1                      0.001
score LOTTERY_PH_004470              0.100
score LOW_PRICE                      0.100
score LUCRATIVE                      1.000
score L_SPAM_TOOL_13                 0.539
score MALE_ENHANCE                   3.100
score MALF_HTML_B64                  1.000
score MALWARE_PASSWORD               1.000
score MANY_HDRS_LCASE                0.100
score MARKETING_PARTNERS             0.553
score MICROSOFT_EXECUTABLE           0.100
score MIMEPART_LIMIT_EXCEEDED        0.001
score MIME_BASE64_TEXT               0.001
score MIME_BOUND_DD_DIGITS           3.016
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_NO_TEXT                   1.000
score MIME_PHP_NO_TEXT               2.800
score MIME_QP_LONG_LINE              0.001
score MIME_SUSPECT_NAME              0.100
score MISSING_DATE                   2.739
score MISSING_HEADERS                0.915
score MISSING_MID                    0.552
score MISSING_MIMEOLE                0.392
score MISSING_MIME_HB_SEP            0.001
score MISSING_SUBJECT                0.001
score MONERO_DEADLINE                1.000
score MONERO_EXTORT_01               1.000
score MONERO_MALWARE                 1.000
score MONERO_PAY_ME                  1.000
score MONEY_BACK                     2.910
score MORE_SEX                       2.799
score MPART_ALT_DIFF                 2.246
score MPART_ALT_DIFF_COUNT           2.799
score MSGID_DOLLARS_URI_IMG          1.000
score MSGID_FROM_MTA_HEADER          0.401
score MSGID_OUTLOOK_INVALID          3.899
score MSGID_RANDY                    2.196
score MSGID_SHORT                    0.001
score MSGID_SPAM_CAPS                2.366
score MSGID_YAHOO_CAPS               0.797
score MSOE_MID_WRONG_CASE            0.993
score NEWEGG_IMG_NOT_RCVD_NEGG       1.000
score NORMAL_HTTP_TO_IP              0.159
score NO_HEADERS_MESSAGE             0.001
score NO_MEDICAL                     2.199
score NO_PRESCRIPTION                1.915
score NO_RDNS_DOTCOM_HELO            3.100
score NO_RECEIVED                    -0.001
score NO_RELAYS                      -0.001
score NULL_IN_BODY                   0.511
score OBFU_BITCOIN                   1.000
score ONE_TIME                       1.840
score ONLINE_PHARMACY                0.843
score OOOBOUNCE_MESSAGE              0.100
score PART_CID_STOCK                 0.001
score PDS_PHP_RUNTIME_FUNC           1.000
score PERCENT_RANDOM                 2.999
score PHISH_AZURE_CLOUDAPP           3.500
score PHISH_FBASEAPP                 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 PLING_QUERY                    0.100
score PP_TOO_MUCH_UNICODE02          0.500
score PP_TOO_MUCH_UNICODE05          1.000
score PRICES_ARE_AFFORDABLE          0.794
score PUMPDUMP                       1.000
score PUMPDUMP_MULTI                 1.000
score RAND_HEADER_MANY               1.000
score RATWARE_EFROM                  0.100
score RATWARE_EGROUPS                1.898
score RATWARE_MPOP_WEBMAIL           1.153
score RATWARE_NAME_ID                3.099
score RATWARE_ZERO_TZ                2.392
score RCVD_DOTEDU_SHORT              1.000
score RCVD_DOTEDU_SUSP_URI           1.000
score RCVD_DOUBLE_IP_LOOSE           1.150
score RCVD_DOUBLE_IP_SPAM            2.411
score RCVD_FAKE_HELO_DOTCOM          2.799
score RCVD_HELO_IP_MISMATCH          1.680
score RCVD_ILLEGAL_IP                1.300
score RDNS_DYNAMIC                   2.639
score RDNS_LOCALHOST                 3.700
score RDNS_NONE                      2.399
score RDNS_NUM_TLD_ATCHNX            1.000
score REMOVE_BEFORE_LINK             0.100
score REPLICA_WATCH                  3.487
score REPLYTO_WITHOUT_TO_CC          2.399
score REPTO_419_FRAUD_AOL            1.000
score REPTO_419_FRAUD_AOL_LOOSE      1.000
score REPTO_419_FRAUD_CNS            1.000
score REPTO_419_FRAUD_HM             1.000
score REPTO_419_FRAUD_OL             1.000
score REPTO_419_FRAUD_PM             1.000
score REPTO_419_FRAUD_QQ             1.000
score REPTO_419_FRAUD_YH             1.000
score REPTO_419_FRAUD_YH_LOOSE       1.000
score REPTO_419_FRAUD_YJ             1.000
score REPTO_419_FRAUD_YN             1.000
score REPTO_QUOTE_YAHOO              0.001
score SB_GIF_AND_NO_URIS             2.199
score SENDGRID_REDIR_PHISH           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                  1.801
score SPAMMY_XMAILER                 2.650
score SPOOFED_FREEMAIL_NO_RDNS       1.000
score SPOOF_COM2COM                  0.001
score SPOOF_COM2OTH                  0.001
score SPOOF_GMAIL_MID                1.000
score STOCK_IMG_CTYPE                0.001
score STOCK_IMG_HDR_FROM             0.001
score STOCK_IMG_OUTLOOK              0.001
score STOCK_TIP                      1.000
score STOX_REPLY_TYPE                1.898
score STOX_REPLY_TYPE_WITHOUT_QUOTES 3.099
score SUBJECT_DIET                   1.927
score SUBJECT_DRUG_GAP_C             2.108
score SUBJECT_DRUG_GAP_L             2.799
score SUBJECT_FUZZY_CHEAP            0.641
score SUBJECT_IN_BLACKLIST           100.000
score SUBJECT_IN_WHITELIST           -100.000
score SUBJECT_NEEDS_ENCODING         0.498
score SUBJ_ALL_CAPS                  0.500
score SUBJ_AS_SEEN                   2.711
score SUBJ_BRKN_WORDNUMS             1.000
score SUBJ_BUY                       0.594
score SUBJ_DOLLARS                   0.100
score SUBJ_ILLEGAL_CHARS             0.620
score SUBJ_YOUR_FAMILY               2.910
score SUSPICIOUS_RECIPS              2.499
score SUSPNTLD_EXPIRATION_EXTORT     1.000
score SYSADMIN                       1.000
score TAGSTAT_IMG_NOT_RCVD_TGST      1.000
score TARINGANET_IMG_NOT_RCVD_TN     1.000
score TBIRD_SUSP_MIME_BDRY           2.400
score THEBAT_UNREG                   2.599
score TONLINE_FAKE_DKIM              1.000
score TO_MALFORMED                   0.100
score TRACKER_ID                     0.100
score TT_MSGID_TRUNC                 0.748
score TUMBLR_IMG_NOT_RCVD_TUMB       1.000
score TVD_FINGER_02                  0.001
score TVD_FW_GRAPHIC_NAME_LONG       0.001
score TVD_FW_GRAPHIC_NAME_MID        0.600
score TVD_INCREASE_SIZE              1.529
score TVD_PH_BODY_ACCOUNTS_PRE       0.001
score TVD_PH_REC                     0.100
score TVD_PH_SEC                     0.100
score TVD_QUAL_MEDS                  2.697
score TVD_RCVD_IP                    0.001
score TVD_RCVD_IP4                   0.001
score TVD_SPACE_RATIO                0.001
score TVD_SUBJ_ACC_NUM               0.100
score TVD_SUBJ_WIPE_DEBT             2.599
score TVD_VISIT_PHARMA               1.957
score TW_GIBBERISH_MANY              1.000
score UC_GIBBERISH_OBFU              1.000
score UNCLAIMED_MONEY                2.699
score UNCLOSED_BRACKET               2.699
score UNPARSEABLE_RELAY              0.001
score UNRESOLVED_TEMPLATE            3.035
score UNWANTED_LANGUAGE_BODY         2.800
score UPPERCASE_50_75                0.001
score UPPERCASE_75_100               1.480
score URG_BIZ                        1.750
score URI_ADOBESPARK                 1.000
score URI_AZURE_CLOUDAPP             1.000
score URI_DASHGOVEDU                 1.000
score URI_DATA                       1.000
score URI_DOTEDU_ENTITY              1.000
score URI_HEX                        0.100
score URI_IMG_WP_REDIR               1.000
score URI_LONG_REPEAT                1.000
score URI_NOVOWEL                    0.500
score URI_ONLY_MSGID_MALF            1.000
score URI_OPTOUT_3LD                 1.000
score URI_TRUNCATED                  0.001
score URI_TRY_USME                   1.000
score URI_WP_DIRINDEX                1.000
score URI_WP_HACKED                  1.000
score USB_DRIVES                     1.000
score USER_IN_ALL_SPAM_TO            -100.000
score USER_IN_MORE_SPAM_TO           -20.000
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 WORD_INVIS                     1.000
score XM_DIGITS_ONLY                 1.000
score XPRIO                          1.000
score XPRIO_SHORT_SUBJ               1.000
score X_IP                           0.001
score X_MAILER_CME_6543_MSN          2.886


68.60user 0.03system 1:08.65elapsed 99%CPU (0avgtext+0avgdata 4632maxresident)k
0inputs+5312outputs (0major+696minor)pagefaults 0swaps
+ date
Sun 10 Oct 2021 02:29:14 AM UTC
+ mv garescorer.scores gen-set0-5-5.0-6000-ga/scores
+ echo [gen run end]
+ cp orig_scores.cf tmprules/50_scores.cf
[gen run end]
+ perl ./rewrite-cf-with-new-scores --scoreset 0 --old-scores tmprules/50_scores.cf --new-scores gen-set0-5-5.0-6000-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: OBFU_UNSUB_UL depends on MAILING_LIST_MULTI with 0 score, fixing at non-0
fix meta dep: __MONEY_FRAUD_3 depends on EMRCP 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: USER_IN_WHITELIST_TO depends on USER_IN_WELCOMELIST_TO with 0 score, fixing at non-0
fix meta dep: URI_HOST_IN_WHITELIST depends on URI_HOST_IN_WELCOMELIST with 0 score, fixing at non-0
fix meta dep: USER_IN_DEF_WHITELIST depends on USER_IN_DEF_WELCOMELIST with 0 score, fixing at non-0
fix meta dep: USER_IN_BLACKLIST depends on USER_IN_BLOCKLIST with 0 score, fixing at non-0
fix meta dep: URI_HOST_IN_BLACKLIST depends on URI_HOST_IN_BLOCKLIST with 0 score, fixing at non-0
fix meta dep: BITCOIN_SPAM_06 depends on TVD_RCVD_SPACE_BRACKET with 0 score, fixing at non-0
fix meta dep: __ENVFROM_GOOG_TRIX_SPAMMY depends on FORGED_GMAIL_RCVD with 0 score, fixing at non-0
fix meta dep: USER_IN_BLACKLIST_TO depends on USER_IN_BLOCKLIST_TO with 0 score, fixing at non-0
fix meta dep: USER_IN_WHITELIST depends on USER_IN_WELCOMELIST with 0 score, fixing at non-0
+ mv tmprules/50_newscores.cf tmprules/50_scores.cf
+ cp tmprules/50_scores.cf gen-set0-5-5.0-6000-ga/50_scores.cf
+ perl ./fp-fn-statistics --ham ham-test.log --spam spam-test.log --scoreset 0 --cffile=tmprules --fnlog gen-set0-5-5.0-6000-ga/false_negatives --fplog gen-set0-5-5.0-6000-ga/false_positives
[../build/parse-rules-for-masses -o ./tmp/rules_3642510.pl -d "tmprules" -s 0]
Sun 10 Oct 2021 02:29:16 AM UTC
[ generating fp-fn-statistics ]
[../build/parse-rules-for-masses -o ./tmp/rules_3643394.pl -d "../rules-base" -s 0]
[../build/parse-rules-for-masses -o ./tmp/rules_3643401.pl -d "../rules-base" -s 0]
Sun 10 Oct 2021 02:29:28 AM UTC
[ extracting new scores ]
Removing scores for base release rules from newly generated scores
# Using score set 0 logs for revision 1894018 from:
# ham-darxus.r1894018.log ham-giovanni-ham.r1894018.log ham-giovanni-spammy.r1894018.log ham-giovanni-spam.r1894018.log ham-grenier.r1894018.log ham-hege.r1894018.log ham-jhardin.r1894018.log ham-llanga.r1894018.log ham-mmiroslaw-mails-ham.r1894018.log ham-mmiroslaw-mails-spam.r1894018.log ham-pds.r1894018.log ham-spamsponge.r1894018.log ham-thendrikx.r1894018.log ham-tsz-spam-corpus.r1894018.log spam-darxus.r1894018.log spam-giovanni-ham.r1894018.log spam-giovanni-spammy.r1894018.log spam-giovanni-spam.r1894018.log spam-grenier.r1894018.log spam-hege.r1894018.log spam-jhardin.r1894018.log spam-llanga.r1894018.log spam-mmiroslaw-mails-ham.r1894018.log spam-mmiroslaw-mails-spam.r1894018.log spam-pds.r1894018.log spam-spamsponge.r1894018.log spam-thendrikx.r1894018.log spam-tsz-spam-corpus.r1894018.log

score ACCT_PHISHING_MANY             2.999
score AC_BR_BONANZA                  0.001
score AC_DIV_BONANZA                 0.001
score AC_FROM_MANY_DOTS              2.999
score AC_HTML_NONSENSE_TAGS          1.999
score ADMITS_SPAM                    4.199
score ADVANCE_FEE_2_NEW_FRM_MNY      1.916
score ADVANCE_FEE_2_NEW_MONEY        1.999
score ADVANCE_FEE_3_NEW              3.499
score ADVANCE_FEE_3_NEW_FRM_MNY      0.001
score ADVANCE_FEE_3_NEW_MONEY        3.099
score ADVANCE_FEE_4_NEW              2.699
score ADVANCE_FEE_4_NEW_FRM_MNY      0.001
score ADVANCE_FEE_4_NEW_MONEY        0.000
score ADVANCE_FEE_5_NEW              2.399
score ADVANCE_FEE_5_NEW_FRM_MNY      0.001
score ADVANCE_FEE_5_NEW_MONEY        0.001
score AD_PREFS                       0.004
score AMAZON_IMG_NOT_RCVD_AMZN       2.499
score ANY_PILL_PRICE                 0.358
score APP_DEVELOPMENT_NORDNS         1.999
score AXB_XMAILER_MIMEOLE_OL_024C2   3.357
score AXB_XMAILER_MIMEOLE_OL_1ECD5   2.540
score AXB_XM_FORGED_OL2600           0.308
score BIGNUM_EMAILS_FREEM            2.999
score BIGNUM_EMAILS_MANY             2.999
score BITCOIN_EXTORT_01              4.999
score BITCOIN_MALF_HTML              3.499
score BITCOIN_ONAN                   3.000
score BITCOIN_SPAM_02                2.499
score BITCOIN_SPAM_07                3.499
score BITCOIN_SPAM_09                0.413
score BITCOIN_XPRIO                  0.001
score BITCOIN_YOUR_INFO              2.999
score BODY_SINGLE_URI                2.499
score BODY_SINGLE_WORD               2.499
score BOGUS_MIME_VERSION             3.499
score BULK_RE_SUSP_NTLD              1.000
score CK_HELO_GENERIC                0.249
score CONTENT_AFTER_HTML             2.500
score CTE_8BIT_MISMATCH              0.999
score DEAR_BENEFICIARY               3.599
score DOS_RCVD_IP_TWICE_B            3.399
score ENCRYPTED_MESSAGE              -0.999
score FACEBOOK_IMG_NOT_RCVD_FB       1.999
score FILL_THIS_FORM                 1.191
score FONT_INVIS_DIRECT              0.001
score FONT_INVIS_HTML_NOHTML         3.000
score FONT_INVIS_LONG_LINE           1.682
score FONT_INVIS_MSGID               2.499
score FONT_INVIS_NORDNS              1.376
score FORM_FRAUD_5                   2.374
score FOUND_YOU                      3.249
score FREEMAIL_DOC_PDF_BCC           3.099
score FREEMAIL_FORGED_FROMDOMAIN     0.249
score FROMSPACE                      3.599
score FROM_2_EMAILS_SHORT            1.802
score FROM_IN_TO_AND_SUBJ            2.499
score FROM_MISSPACED                 1.999
score FROM_MISSP_DYNIP               0.001
score FROM_MISSP_EH_MATCH            1.999
score FROM_MISSP_FREEMAIL            3.599
score FROM_MISSP_MSFT                2.753
score FROM_MISSP_PHISH               3.499
score FROM_MISSP_TO_UNDISC           2.899
score FROM_MISSP_USER                2.087
score FROM_MISSP_XPRIO               2.499
score FROM_MULTI_NORDNS              2.299
score FROM_NTLD_LINKBAIT             1.685
score FROM_NTLD_REPLY_FREEMAIL       1.744
score FROM_SUSPICIOUS_NTLD           0.499
score FROM_SUSPICIOUS_NTLD_FP        2.000
score FROM_WSP_TRAIL                 2.808
score FSL_CTYPE_WIN1251              1.208
score FSL_NEW_HELO_USER              1.265
score FUZZY_AMAZON                   2.299
score FUZZY_BITCOIN                  3.699
score FUZZY_CLICK_HERE               2.799
score FUZZY_WALLET                   3.299
score FUZZY_WELLSFARGO               2.368
score GAPPY_LOW_CONTRAST             1.028
score GB_FAKE_RF_SHORT               0.001
score GB_FREEMAIL_DISPTO             0.499
score GOOG_MALWARE_DNLD              1.246
score GOOG_REDIR_HTML_ONLY           1.999
score GOOG_REDIR_NORDNS              2.605
score GOOG_REDIR_SHORT               2.299
score GOOG_STO_EMAIL_PHISH           2.025
score GOOG_STO_HTML_PHISH            2.496
score GOOG_STO_NOIMG_HTML            2.999
score HAS_X_OUTGOING_SPAM_STAT       1.999
score HDRS_LCASE_IMGONLY             0.099
score HDRS_MISSP                     2.499
score HDR_ORDER_FTSDMCXX_DIRECT      1.999
score HDR_ORDER_FTSDMCXX_NORDNS      2.347
score HEADER_FROM_DIFFERENT_DOMAINS  0.249
score HELO_NO_DOMAIN                 2.639
score HK_LOTTO                       0.999
score HK_NAME_MR_MRS                 0.999
score HK_RANDOM_ENVFROM              1.000
score HK_RANDOM_FROM                 0.999
score HK_RANDOM_REPLYTO              0.999
score HK_SCAM                        0.047
score HK_SPAMMY_FILENAME             2.880
score HK_WIN                         0.999
score HOSTED_IMG_DIRECT_MX           3.457
score HOSTED_IMG_FREEM               3.499
score HOSTED_IMG_MULTI               1.533
score HOSTED_IMG_MULTI_PUB_01        2.999
score HTML_ENTITY_ASCII              2.999
score HTML_FONT_TINY_NORDNS          1.999
score HTML_OFF_PAGE                  2.204
score HTML_TAG_BALANCE_CENTER        4.199
score HTML_TEXT_INVISIBLE_STYLE      3.499
score IMG_ONLY_FM_DOM_INFO           2.205
score JH_SPAMMY_HEADERS              3.499
score LINKEDIN_IMG_NOT_RCVD_LNKN     2.499
score LIST_PARTIAL_SHORT_MSG         2.202
score LONGLN_LOW_CONTRAST            2.499
score LONG_HEX_URI                   2.999
score LONG_IMG_URI                   1.936
score LONG_INVISIBLE_TEXT            0.001
score LOTS_OF_MONEY                  0.010
score LOTTO_AGENT                    0.390
score LOTTO_DEPT                     1.021
score MALWARE_NORDNS                 3.275
score MALW_ATTACH                    2.399
score MANY_SPAN_IN_TEXT              1.635
score MILLION_HUNDRED                0.001
score MILLION_USD                    0.001
score MIMEOLE_DIRECT_TO_MX           0.001
score MIXED_AREA_CASE                1.136
score MIXED_CENTER_CASE              2.499
score MIXED_ES                       3.752
score MIXED_FONT_CASE                1.273
score MIXED_HREF_CASE                0.539
score MIXED_IMG_CASE                 1.892
score MONEY_ATM_CARD                 1.470
score MONEY_FORM                     0.001
score MONEY_FORM_SHORT               2.499
score MONEY_FRAUD_3                  3.099
score MONEY_FRAUD_5                  3.299
score MONEY_FRAUD_8                  3.499
score MONEY_FREEMAIL_REPTO           2.999
score MONEY_FROM_41                  0.546
score MONEY_FROM_MISSP               1.999
score MSGID_HDR_MALF                 1.867
score MSGID_NOFQDN1                  1.394
score MSM_PRIO_REPTO                 2.361
score NA_DOLLARS                     1.499
score NEW_PRODUCTS                   1.249
score NICE_REPLY_A                   -0.001
score NORDNS_LOW_CONTRAST            1.885
score NOT_SPAM                       2.499
score NO_FM_NAME_IP_HOSTN            2.399
score NSL_RCVD_FROM_USER             0.816
score NSL_RCVD_HELO_USER             2.380
score OBFU_JVSCR_ESC                 2.399
score OBFU_TEXT_ATTACH               0.001
score OBFU_UNSUB_UL                  2.299
score ODD_FREEM_REPTO                1.827
score OFFER_ONLY_AMERICA             0.616
score ONLINE_MKTG_CNSLT              2.399
score PDS_BTC_ID                     0.499
score PDS_BTC_MSGID                  0.999
score PDS_DBL_URL_TNB_RUNON          1.999
score PDS_EMPTYSUBJ_URISHRT          1.499
score PDS_FRNOM_TODOM_DBL_URL        0.001
score PDS_FRNOM_TODOM_NAKED_TO       1.499
score PDS_FROM_NAME_TO_DOMAIN        1.999
score PDS_HP_HELO_NORDNS             0.999
score PDS_OTHER_BAD_TLD              1.999
score PDS_PHPEXP_BOT                 1.019
score PDS_PHP_EVAL                   1.248
score PDS_RDNS_DYNAMIC_FP            0.010
score PDS_SHORTFWD_URISHRT           1.499
score PDS_TINYSUBJ_URISHRT           1.499
score PDS_TONAME_EQ_TOLOCAL_FREEM_FORGE 1.999
score PDS_TONAME_EQ_TOLOCAL_HDRS_LCASE 1.999
score PDS_TO_EQ_FROM_NAME            3.199
score PHP_ORIG_SCRIPT                2.499
score PHP_ORIG_SCRIPT_EVAL           2.819
score PHP_SCRIPT                     2.499
score PP_MIME_FAKE_ASCII_TEXT        1.000
score RAND_HEADER_LIST_SPOOF         2.999
score RAND_MKTG_HEADER               1.999
score RATWARE_NO_RDNS                1.331
score RDNS_NUM_TLD_XM                0.470
score READY_TO_SHIP                  1.249
score REPLYTO_EMPTY                  2.151
score REPTO_419_FRAUD                2.999
score REPTO_419_FRAUD_GM             2.999
score REPTO_419_FRAUD_GM_LOOSE       1.000
score RISK_FREE                      3.499
score SCRIPT_GIBBERISH               2.399
score SENDGRID_REDIR                 1.500
score SEO_SUSP_NTLD                  0.990
score SHOPIFY_IMG_NOT_RCVD_SFY       2.499
score SHORTENED_URL_SRC              2.699
score SHORTENER_SHORT_IMG            0.990
score SHORTENER_SHORT_SUBJ           2.999
score SHORT_SHORTNER                 1.999
score STATIC_XPRIO_OLE               0.001
score STY_INVIS_DIRECT               2.499
score SUSP_UTF8_WORD_FROM            1.999
score SUSP_UTF8_WORD_SUBJ            1.999
score THIS_AD                        1.999
score THIS_IS_ADV_SUSP_NTLD          0.001
score TONOM_EQ_TOLOC_SHRT_SHRTNER    1.499
score TO_EQ_FM_DIRECT_MX             0.000
score TO_IN_SUBJ                     0.099
score TO_NAME_SUBJ_NO_RDNS           2.527
score TO_NO_BRKTS_DYNIP              0.001
score TO_NO_BRKTS_FROM_MSSP          2.499
score TO_NO_BRKTS_HTML_IMG           1.999
score TO_NO_BRKTS_HTML_ONLY          1.999
score TO_NO_BRKTS_NORDNS_HTML        1.999
score TO_NO_BRKTS_PCNT               2.500
score TRANSFORM_LIFE                 2.499
score TVD_DOLLARS_US                 2.499
score TVD_IP_SING_HEX                1.999
score TVD_PH_BODY_META               2.899
score TVD_SPACE_ENC_FM_MIME          1.999
score UNDISC_FREEM                   3.999
score UNDISC_MONEY                   3.999
score UNICODE_OBFU_ASC               2.499
score UNICODE_OBFU_ZW                3.499
score URI_DOTEDU                     2.000
score URI_DQ_UNSUB                   2.299
score URI_FIREBASEAPP                2.999
score URI_GOOGLE_PROXY               2.899
score URI_GOOG_STO_SPAMMY            2.999
score URI_HEX_IP                     1.380
score URI_IN_URI_10                  2.899
score URI_PHISH                      3.999
score URI_PHP_REDIR                  3.500
score URI_TRY_3LD                    1.999
score URI_WPADMIN                    2.799
score URI_WP_HACKED_2                2.499
score VFY_ACCT_NORDNS                2.549
score WANT_TO_ORDER                  2.749
score WORD_INVIS_MANY                3.000
score XFER_LOTSA_MONEY               0.999
score XM_LIGHT_HEAVY                 2.499
score XM_RANDOM                      2.499
score XM_RECPTID                     2.999
score YOU_INHERIT                    2.499
score AC_POST_EXTRAS                 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 ADULT_DATING_COMPANY           10.000
score ADVANCE_FEE_2_NEW_FORM         1.000
score ALIBABA_IMG_NOT_RCVD_ALI       1.000
score APP_DEVELOPMENT_FREEM          1.000
score BEBEE_IMG_NOT_RCVD_BB          1.000
score BITCOIN_BOMB                   1.000
score BITCOIN_DEADLINE               1.000
score BITCOIN_EXTORT_02              1.000
score BITCOIN_IMGUR                  1.000
score BITCOIN_MALWARE                1.000
score BITCOIN_OBFU_SUBJ              1.000
score BITCOIN_PAY_ME                 1.000
score BITCOIN_SPAM_01                1.000
score BITCOIN_SPAM_03                1.000
score BITCOIN_SPAM_04                1.000
score BITCOIN_SPAM_06                1.000
score BITCOIN_SPAM_08                1.000
score BITCOIN_SPAM_10                1.000
score BITCOIN_SPAM_11                1.000
score BITCOIN_SPAM_12                1.000
score BODY_EMAIL_419_FRAUD_GM        1.000
score BODY_URI_ONLY                  1.000
score BOGUS_MSM_HDRS                 1.000
score BOMB_FREEM                     1.000
score BOMB_MONEY                     1.000
score BTC_ORG                        1.000
score CANT_SEE_AD                    1.000
score COMMENT_GIBBERISH              1.000
score DAY_I_EARNED                   1.000
score DOTGOV_IMAGE                   1.000
score DYNAMIC_IMGUR                  1.000
score EBAY_IMG_NOT_RCVD_EBAY         1.000
score END_FUTURE_EMAILS              1.000
score ENVFROM_GOOG_TRIX              1.000
score FBI_MONEY                      1.000
score FBI_SPOOF                      1.000
score FONT_INVIS_DOTGOV              1.000
score FONT_INVIS_POSTEXTRAS          1.000
score FORM_FRAUD                     1.000
score FREEM_FRNUM_UNICD_EMPTY        1.000
score FRNAME_IN_MSG_XPRIO_NO_SUB     1.000
score FROM_ADDR_WS                   1.000
score FROM_MISSP_REPLYTO             1.000
score FROM_NUMERIC_TLD               1.000
score GAPPY_SALES_LEADS_FREEM        1.000
score GB_BITCOIN_CP                  1.000
score GB_FORGED_MUA_POSTFIX          1.000
score GB_FREEMAIL_DISPTO_NOTFREEM    0.500
score GB_GOOGLE_OBFUR                0.750
score GOOGLE_DOCS_PHISH              1.000
score GOOGLE_DOCS_PHISH_MANY         1.000
score GOOGLE_DOC_SUSP                1.000
score GOOGLE_DRIVE_REPLY_BAD_NTLD    1.000
score GOOG_STO_HTML_PHISH_MANY       1.000
score GOOG_STO_IMG_HTML              1.000
score GOOG_STO_IMG_NOHTML            1.000
score HAS_X_NO_RELAY                 1.000
score HEXHASH_WORD                   1.000
score HK_CTE_RAW                     1.000
score HK_RCVD_IP_MULTICAST           1.000
score HOSTED_IMG_DQ_UNSUB            1.000
score HTML_ENTITY_ASCII_TINY         1.000
score HTML_SHRT_CMNT_OBFU_MANY       1.000
score HTML_SINGLET_MANY              1.000
score HTML_TEXT_INVISIBLE_FONT       1.000
score JH_SPAMMY_PATTERN01            1.000
score JH_SPAMMY_PATTERN02            1.000
score KHOP_HELO_FCRDNS               0.400
score LIST_PRTL_PUMPDUMP             1.000
score LIST_PRTL_SAME_USER            1.000
score LUCRATIVE                      1.000
score MALF_HTML_B64                  1.000
score MALWARE_PASSWORD               1.000
score MANY_HDRS_LCASE                0.100
score MIME_NO_TEXT                   1.000
score MONERO_DEADLINE                1.000
score MONERO_EXTORT_01               1.000
score MONERO_MALWARE                 1.000
score MONERO_PAY_ME                  1.000
score MSGID_DOLLARS_URI_IMG          1.000
score NEWEGG_IMG_NOT_RCVD_NEGG       1.000
score OBFU_BITCOIN                   1.000
score PDS_PHP_RUNTIME_FUNC           1.000
score PHISH_AZURE_CLOUDAPP           3.500
score PHISH_FBASEAPP                 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 RCVD_DOTEDU_SHORT              1.000
score RCVD_DOTEDU_SUSP_URI           1.000
score RDNS_NUM_TLD_ATCHNX            1.000
score REPTO_419_FRAUD_AOL            1.000
score REPTO_419_FRAUD_AOL_LOOSE      1.000
score REPTO_419_FRAUD_CNS            1.000
score REPTO_419_FRAUD_HM             1.000
score REPTO_419_FRAUD_OL             1.000
score REPTO_419_FRAUD_PM             1.000
score REPTO_419_FRAUD_QQ             1.000
score REPTO_419_FRAUD_YH             1.000
score REPTO_419_FRAUD_YH_LOOSE       1.000
score REPTO_419_FRAUD_YJ             1.000
score REPTO_419_FRAUD_YN             1.000
score SENDGRID_REDIR_PHISH           1.000
score SHORT_IMG_SUSP_NTLD            1.000
score SPOOFED_FREEMAIL_NO_RDNS       1.000
score SPOOF_GMAIL_MID                1.000
score STOCK_TIP                      1.000
score SUBJ_BRKN_WORDNUMS             1.000
score SUSPNTLD_EXPIRATION_EXTORT     1.000
score SYSADMIN                       1.000
score TAGSTAT_IMG_NOT_RCVD_TGST      1.000
score TARINGANET_IMG_NOT_RCVD_TN     1.000
score TONLINE_FAKE_DKIM              1.000
score TUMBLR_IMG_NOT_RCVD_TUMB       1.000
score TW_GIBBERISH_MANY              1.000
score UC_GIBBERISH_OBFU              1.000
score URI_ADOBESPARK                 1.000
score URI_AZURE_CLOUDAPP             1.000
score URI_DASHGOVEDU                 1.000
score URI_DATA                       1.000
score URI_DOTEDU_ENTITY              1.000
score URI_IMG_WP_REDIR               1.000
score URI_LONG_REPEAT                1.000
score URI_ONLY_MSGID_MALF            1.000
score URI_OPTOUT_3LD                 1.000
score URI_TRY_USME                   1.000
score URI_WP_DIRINDEX                1.000
score URI_WP_HACKED                  1.000
score USB_DRIVES                     1.000
score VPS_NO_NTLD                    1.000
score WALMART_IMG_NOT_RCVD_WAL       1.000
score WORD_INVIS                     1.000
score XM_DIGITS_ONLY                 1.000
score XPRIO                          1.000
score XPRIO_SHORT_SUBJ               1.000
# in active.list but have no hits in recent corpus
score BITCOIN_SPAM_05                0.000
score BITCOIN_SPF_ONLYALL            0.000
score DKIMWL_BL                      0.000
score DKIMWL_BLOCKED                 0.000
score DKIMWL_WL_HIGH                 0.000
score DKIMWL_WL_MED                  0.000
score DKIMWL_WL_MEDHI                0.000
score FROM_BANK_NOAUTH               0.000
score FROM_FMBLA_NDBLOCKED           0.000
score FROM_FMBLA_NEWDOM              0.000
score FROM_FMBLA_NEWDOM14            0.000
score FROM_FMBLA_NEWDOM28            0.000
score FROM_GOV_DKIM_AU               0.000
score FROM_GOV_REPLYTO_FREEMAIL      0.000
score FROM_GOV_SPOOF                 0.000
score FROM_MISSP_SPF_FAIL            0.000
score FROM_NEWDOM_BTC                0.000
score FROM_NUMBERO_NEWDOMAIN         0.000
score FROM_PAYPAL_SPOOF              0.000
score FSL_BULK_SIG                   0.000
score PDS_HELO_SPF_FAIL              0.000
score RCVD_IN_MSPIKE_BL              0.000
score RCVD_IN_MSPIKE_H2              0.000
score RCVD_IN_MSPIKE_H3              0.000
score RCVD_IN_MSPIKE_H4              0.000
score RCVD_IN_MSPIKE_H5              0.000
score RCVD_IN_MSPIKE_L2              0.000
score RCVD_IN_MSPIKE_L3              0.000
score RCVD_IN_MSPIKE_L4              0.000
score RCVD_IN_MSPIKE_L5              0.000
score RCVD_IN_MSPIKE_WL              0.000
score RCVD_IN_MSPIKE_ZBI             0.000
score SPOOFED_FREEMAIL               0.000
score SPOOFED_FREEM_REPTO            0.000
score SPOOFED_FREEM_REPTO_CHN        0.000
score SPOOFED_FREEM_REPTO_RUS        0.000
score SURBL_BLOCKED                  0.000
score TO_EQ_FM_DOM_SPF_FAIL          0.000
score TO_EQ_FM_SPF_FAIL              0.000
score USER_IN_DKIM_WELCOMELIST       0.000
Sun 10 Oct 2021 02:29:28 AM UTC
[ completed ]
/usr/local/spamassassin/automc/tmp/generate-new-scores
Sun 10 Oct 2021 02:29:28 AM UTC
[ rsyncing logs ]
[ rsyncing logs locally ]
sending incremental file list

sent 3,445 bytes  received 12 bytes  6,914.00 bytes/sec
total size is 2,863,078,595  speedup is 828,197.45
Sun 10 Oct 2021 02:29:28 AM UTC
[ selecting log files to use for scoreset 1 ]
Linked spam-net-hege.r1894058.log to corpus/usable-corpus-set1/spam-net-hege.r1894058.log
Linked spam-net-grenier.r1894058.log to corpus/usable-corpus-set1/spam-net-grenier.r1894058.log
Linked ham-net-llanga.r1894058.log to corpus/usable-corpus-set1/ham-net-llanga.r1894058.log
Linked ham-net-pds.r1894058.log to corpus/usable-corpus-set1/ham-net-pds.r1894058.log
Linked spam-net-mmiroslaw-mails-ham.r1894058.log to corpus/usable-corpus-set1/spam-net-mmiroslaw-mails-ham.r1894058.log
Linked ham-net-jhardin.r1894058.log to corpus/usable-corpus-set1/ham-net-jhardin.r1894058.log
Linked spam-net-giovanni-spam.r1894058.log to corpus/usable-corpus-set1/spam-net-giovanni-spam.r1894058.log
Linked ham-net-spamsponge.r1894058.log to corpus/usable-corpus-set1/ham-net-spamsponge.r1894058.log
Linked spam-net-spamsponge.r1894058.log to corpus/usable-corpus-set1/spam-net-spamsponge.r1894058.log
Linked spam-net-thendrikx.r1894058.log to corpus/usable-corpus-set1/spam-net-thendrikx.r1894058.log
Linked spam-net-jhardin.r1894058.log to corpus/usable-corpus-set1/spam-net-jhardin.r1894058.log
Linked spam-net-giovanni-spammy.r1894058.log to corpus/usable-corpus-set1/spam-net-giovanni-spammy.r1894058.log
Linked ham-net-giovanni-ham.r1894058.log to corpus/usable-corpus-set1/ham-net-giovanni-ham.r1894058.log
Linked ham-net-hege.r1894058.log to corpus/usable-corpus-set1/ham-net-hege.r1894058.log
Linked spam-net-pds.r1894058.log to corpus/usable-corpus-set1/spam-net-pds.r1894058.log
Linked spam-net-darxus.r1894058.log to corpus/usable-corpus-set1/spam-net-darxus.r1894058.log
Linked ham-net-mmiroslaw-mails-ham.r1894058.log to corpus/usable-corpus-set1/ham-net-mmiroslaw-mails-ham.r1894058.log
Linked ham-net-mmiroslaw-mails-spam.r1894058.log to corpus/usable-corpus-set1/ham-net-mmiroslaw-mails-spam.r1894058.log
Linked ham-net-thendrikx.r1894058.log to corpus/usable-corpus-set1/ham-net-thendrikx.r1894058.log
Linked spam-net-giovanni-ham.r1894058.log to corpus/usable-corpus-set1/spam-net-giovanni-ham.r1894058.log
Linked ham-net-darxus.r1894058.log to corpus/usable-corpus-set1/ham-net-darxus.r1894058.log
Linked spam-net-mmiroslaw-mails-spam.r1894058.log to corpus/usable-corpus-set1/spam-net-mmiroslaw-mails-spam.r1894058.log
Linked ham-net-grenier.r1894058.log to corpus/usable-corpus-set1/ham-net-grenier.r1894058.log
Linked spam-net-llanga.r1894058.log to corpus/usable-corpus-set1/spam-net-llanga.r1894058.log
Linked ham-net-giovanni-spam.r1894058.log to corpus/usable-corpus-set1/ham-net-giovanni-spam.r1894058.log
Linked ham-net-giovanni-spammy.r1894058.log to corpus/usable-corpus-set1/ham-net-giovanni-spammy.r1894058.log

Majority SVN revision found: 1894058

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# SVN revision: 1894058
 HAM CONTRIBUTORS FOUND: 13 (required 8)
SPAM CONTRIBUTORS FOUND: 13 (required 8)
Sun 10 Oct 2021 02:29:28 AM UTC
[ checking out code from svn repository ]
+ svn co -r 1894058 http://svn.apache.org/repos/asf/spamassassin/trunk trunk-new-rules-set1
A    trunk-new-rules-set1/rules
A    trunk-new-rules-set1/rules/20_body_tests.cf
A    trunk-new-rules-set1/rules/v342.pre
A    trunk-new-rules-set1/rules/20_freemail_mailcom_domains.cf
A    trunk-new-rules-set1/rules/25_dnswl.cf
A    trunk-new-rules-set1/rules/25_razor2.cf
A    trunk-new-rules-set1/rules/user_prefs.template
A    trunk-new-rules-set1/rules/30_text_de.cf
A    trunk-new-rules-set1/rules/active.list
A    trunk-new-rules-set1/rules/30_text_pl.cf
A    trunk-new-rules-set1/rules/v343.pre
A    trunk-new-rules-set1/rules/25_dcc.cf
A    trunk-new-rules-set1/rules/60_whitelist_spf.cf
A    trunk-new-rules-set1/rules/30_text_nl.cf
A    trunk-new-rules-set1/rules/20_html_tests.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_whitelist_auth.cf
A    trunk-new-rules-set1/rules/20_dynrdns.cf
A    trunk-new-rules-set1/rules/20_fake_helo_tests.cf
A    trunk-new-rules-set1/rules/60_whitelist_dkim.cf
A    trunk-new-rules-set1/rules/60_whitelist.cf
A    trunk-new-rules-set1/rules/50_scores.cf
A    trunk-new-rules-set1/rules/v400.pre
A    trunk-new-rules-set1/rules/60_bayes_stopwords.cf
A    trunk-new-rules-set1/rules/60_shortcircuit.cf
A    trunk-new-rules-set1/rules/20_imageinfo.cf
A    trunk-new-rules-set1/rules/60_adsp_override_dkim.cf
A    trunk-new-rules-set1/rules/60_txrep.cf
A    trunk-new-rules-set1/rules/20_freemail_domains.cf
A    trunk-new-rules-set1/rules/10_hasbase.cf
A    trunk-new-rules-set1/rules/20_head_tests.cf
A    trunk-new-rules-set1/rules/20_ratware.cf
A    trunk-new-rules-set1/rules/73_sandbox_manual_scores.cf
A    trunk-new-rules-set1/rules/v340.pre
A    trunk-new-rules-set1/rules/20_meta_tests.cf
A    trunk-new-rules-set1/rules/60_awl.cf
A    trunk-new-rules-set1/rules/20_advance_fee.cf
A    trunk-new-rules-set1/rulesrc
A    trunk-new-rules-set1/rulesrc/scores
A    trunk-new-rules-set1/rules/STATISTICS-set2.txt
A    trunk-new-rules-set1/rules/STATISTICS-set3.txt
A    trunk-new-rules-set1/rules/STATISTICS-set1.txt
A    trunk-new-rules-set1/rules/20_net_tests.cf
A    trunk-new-rules-set1/rules/v312.pre
A    trunk-new-rules-set1/rulesrc/sandbox
A    trunk-new-rules-set1/rulesrc/sandbox/jhardin
A    trunk-new-rules-set1/rules/svn_only.pre
A    trunk-new-rules-set1/rules/20_aux_tlds.cf
A    trunk-new-rules-set1/rules/languages
A    trunk-new-rules-set1/rules/20_dnsbl_tests.cf
A    trunk-new-rules-set1/rules/25_uribl.cf
A    trunk-new-rules-set1/rules/20_pdfinfo.cf
A    trunk-new-rules-set1/rules/25_asn.cf
A    trunk-new-rules-set1/rules/20_drugs.cf
A    trunk-new-rules-set1/rules/20_uri_tests.cf
A    trunk-new-rules-set1/rules/20_vbounce.cf
A    trunk-new-rules-set1/rules/20_phrases.cf
A    trunk-new-rules-set1/rules/25_replace.cf
A    trunk-new-rules-set1/rules/local.cf
A    trunk-new-rules-set1/rules/30_text_fr.cf
A    trunk-new-rules-set1/rules/60_whitelist_subject.cf
A    trunk-new-rules-set1/rulesrc/scores/72_scores.cf
A    trunk-new-rules-set1/rules/v310.pre
A    trunk-new-rules-set1/rules/v320.pre
A    trunk-new-rules-set1/rules/30_text_it.cf
A    trunk-new-rules-set1/rules/25_antivirus.cf
A    trunk-new-rules-set1/rulesrc/scores/scores-set2
A    trunk-new-rules-set1/rules/20_porn.cf
A    trunk-new-rules-set1/rules/25_accessdb.cf
A    trunk-new-rules-set1/rulesrc/scores/scores-set0
A    trunk-new-rules-set1/rulesrc/sandbox/smf
A    trunk-new-rules-set1/rulesrc/sandbox/felicity
A    trunk-new-rules-set1/rulesrc/sandbox/gbechis
A    trunk-new-rules-set1/rulesrc/scores/scores-set3
A    trunk-new-rules-set1/rulesrc/scores/stats-set3
A    trunk-new-rules-set1/rulesrc/scores/stats-set0
A    trunk-new-rules-set1/rules/30_text_pt_br.cf
A    trunk-new-rules-set1/rules/regression_tests.cf
A    trunk-new-rules-set1/rules/20_freemail.cf
A    trunk-new-rules-set1/rules/init.pre
A    trunk-new-rules-set1/rules/10_default_prefs.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/20_mailspike.cf
A    trunk-new-rules-set1/rules/v341.pre
A    trunk-new-rules-set1/rules/STATISTICS-set0.txt
A    trunk-new-rules-set1/rules/v330.pre
A    trunk-new-rules-set1/rules/sa-update-pubkey.txt
A    trunk-new-rules-set1/rules/20_compensate.cf
A    trunk-new-rules-set1/rules/25_textcat.cf
A    trunk-new-rules-set1/rulesrc/scores/scores-set1
A    trunk-new-rules-set1/rulesrc/scores/stats-set1
A    trunk-new-rules-set1/rulesrc/sandbox/jhardin/40_local_googlestorage.cf
A    trunk-new-rules-set1/rulesrc/sandbox/kb
A    trunk-new-rules-set1/rulesrc/sandbox/pds
A    trunk-new-rules-set1/rulesrc/sandbox/jhardin/20_lotsa_money.cf
A    trunk-new-rules-set1/rulesrc/sandbox/jhardin/20_shared_subrules.cf
A    trunk-new-rules-set1/rulesrc/sandbox/jhardin/20_uri_obfu_ws.cf
A    trunk-new-rules-set1/rulesrc/sandbox/smf/20_smf.cf
A    trunk-new-rules-set1/rulesrc/sandbox/felicity/70_phishing.cf
A    trunk-new-rules-set1/rulesrc/sandbox/gbechis/20_misc.cf
A    trunk-new-rules-set1/rulesrc/scores/stats-set2
A    trunk-new-rules-set1/rulesrc/sandbox/jhardin/40_local_419replyto.cf
A    trunk-new-rules-set1/rulesrc/sandbox/jhardin/40_local_azurephish.cf
A    trunk-new-rules-set1/rulesrc/sandbox/jhardin/20_tbird_image_spam.cf
A    trunk-new-rules-set1/rulesrc/sandbox/jhardin/20_thirdparty.cf
A    trunk-new-rules-set1/rulesrc/sandbox/smf/30_bug_6919.cf
A    trunk-new-rules-set1/rulesrc/sandbox/felicity/sandbox-felicity.pm
A    trunk-new-rules-set1/rulesrc/sandbox/billcole
A    trunk-new-rules-set1/rulesrc/sandbox/hege
A    trunk-new-rules-set1/rulesrc/sandbox/jhardin/20_fillform.cf
A    trunk-new-rules-set1/rulesrc/sandbox/jhardin/20_MIME_no_text.cf
A    trunk-new-rules-set1/rulesrc/sandbox/jhardin/20_MIME_in_body.cf
A    trunk-new-rules-set1/rulesrc/sandbox/smf/20_url_shorteners.cf
A    trunk-new-rules-set1/rulesrc/sandbox/felicity/70_iadb.cf
A    trunk-new-rules-set1/rulesrc/sandbox/jm
A    trunk-new-rules-set1/rulesrc/sandbox/gbechis/20_xmr.cf
A    trunk-new-rules-set1/rulesrc/sandbox/kb/75_de.cf
A    trunk-new-rules-set1/rulesrc/sandbox/pds/20_urlshort.cf
A    trunk-new-rules-set1/rulesrc/sandbox/gbechis/20_wp.cf
A    trunk-new-rules-set1/rulesrc/sandbox/pds/20_helo.cf
A    trunk-new-rules-set1/rulesrc/sandbox/gbechis/20_btc.cf
A    trunk-new-rules-set1/rulesrc/sandbox/gbechis/20_ratware.cf
A    trunk-new-rules-set1/rulesrc/sandbox/pds/20_btc.cf
A    trunk-new-rules-set1/rulesrc/sandbox/pds/20_gdocs.cf
A    trunk-new-rules-set1/rulesrc/sandbox/kb/70_misc.cf
A    trunk-new-rules-set1/rulesrc/sandbox/khopesh
A    trunk-new-rules-set1/rulesrc/sandbox/billcole/23_bug_6780.cf
A    trunk-new-rules-set1/rulesrc/sandbox/kb/20_header.cf
A    trunk-new-rules-set1/rulesrc/sandbox/pds/20_dkimwl.cf
A    trunk-new-rules-set1/rulesrc/sandbox/pds/20_php.cf
A    trunk-new-rules-set1/rulesrc/sandbox/pds/20_banks.cf
A    trunk-new-rules-set1/rulesrc/sandbox/billcole/80_test.cf
A    trunk-new-rules-set1/rulesrc/sandbox/hege/20_html.cf
A    trunk-new-rules-set1/rulesrc/sandbox/hege/20_bug6448.cf
A    trunk-new-rules-set1/rulesrc/sandbox/jhardin/20_misc_testing.cf
A    trunk-new-rules-set1/rulesrc/sandbox/jhardin/20_advance_fee_reevolved.cf
A    trunk-new-rules-set1/rulesrc/sandbox/jhardin/20_postcards.cf
A    trunk-new-rules-set1/rulesrc/sandbox/smf/30_smf_nontest.cf
A    trunk-new-rules-set1/rulesrc/sandbox/felicity/70_other.cf
A    trunk-new-rules-set1/rulesrc/sandbox/gbechis/20_freemail.cf
A    trunk-new-rules-set1/rulesrc/sandbox/gbechis/20_html.cf
A    trunk-new-rules-set1/rulesrc/sandbox/kb/20_bug_6156.cf
A    trunk-new-rules-set1/rulesrc/sandbox/pds/20_ntld.cf
A    trunk-new-rules-set1/rulesrc/sandbox/pds/20_freshfmb.cf
A    trunk-new-rules-set1/rulesrc/sandbox/pds/20_html.cf
A    trunk-new-rules-set1/rulesrc/sandbox/pds/20_gov.cf
A    trunk-new-rules-set1/rulesrc/sandbox/billcole/21_bug_7219.cf
A    trunk-new-rules-set1/rulesrc/sandbox/hege/20_bug5804.cf
A    trunk-new-rules-set1/rulesrc/sandbox/hege/20_bug6346.cf
A    trunk-new-rules-set1/rulesrc/sandbox/pds/10_menaces.cf
A    trunk-new-rules-set1/rulesrc/sandbox/pds/20_fns.cf
A    trunk-new-rules-set1/rulesrc/sandbox/pds/20_cashshorteners.cf
A    trunk-new-rules-set1/rulesrc/sandbox/pds/20_spf.cf
A    trunk-new-rules-set1/rulesrc/sandbox/billcole/24_mixed_es.cf
A    trunk-new-rules-set1/rulesrc/sandbox/hege/20_hk.cf
A    trunk-new-rules-set1/rulesrc/sandbox/hege/20_bug6353.cf
A    trunk-new-rules-set1/rulesrc/sandbox/wtogami
A    trunk-new-rules-set1/rulesrc/sandbox/maddoc
A    trunk-new-rules-set1/rulesrc/sandbox/kmcgrail
A    trunk-new-rules-set1/rulesrc/sandbox/billcole/22_bug_7593.cf
A    trunk-new-rules-set1/rulesrc/sandbox/hege/20_bug5523.cf
A    trunk-new-rules-set1/rulesrc/sandbox/jm/20_bug_5984.cf
A    trunk-new-rules-set1/rulesrc/sandbox/jm/20_bug_6152.cf
A    trunk-new-rules-set1/rulesrc/sandbox/jm/20_games.cf
A    trunk-new-rules-set1/rulesrc/sandbox/jm/20_dob.cf
A    trunk-new-rules-set1/rulesrc/sandbox/jm/20_xmailer.cf
A    trunk-new-rules-set1/rulesrc/sandbox/jm/20_bug_5920.cf
A    trunk-new-rules-set1/rulesrc/sandbox/jm/20_basic.cf
A    trunk-new-rules-set1/rulesrc/sandbox/jm/22_bug_5667.cf
A    trunk-new-rules-set1/rulesrc/sandbox/jm/20_storm.cf
A    trunk-new-rules-set1/rulesrc/sandbox/khopesh/20_khop_bl.cf
A    trunk-new-rules-set1/rulesrc/sandbox/khopesh/20_khop_experimental.cf
A    trunk-new-rules-set1/rulesrc/sandbox/jm/70_tt_drugs.cf
A    trunk-new-rules-set1/rulesrc/sandbox/khopesh/20_khop_sc_bug_6114.cf
A    trunk-new-rules-set1/rulesrc/sandbox/khopesh/20_khop_general.cf
A    trunk-new-rules-set1/rulesrc/sandbox/jm/20_bug_6000.cf
A    trunk-new-rules-set1/rulesrc/sandbox/khopesh/20_trust.cf
A    trunk-new-rules-set1/rulesrc/sandbox/khopesh/20_khop_lists.cf
A    trunk-new-rules-set1/rulesrc/sandbox/khopesh/20_khop_dynamic.cf
A    trunk-new-rules-set1/rulesrc/sandbox/fredt
A    trunk-new-rules-set1/rulesrc/sandbox/davej
A    trunk-new-rules-set1/rulesrc/sandbox/sidney
A    trunk-new-rules-set1/rulesrc/sandbox/khopesh/20_s25r.cf
A    trunk-new-rules-set1/rulesrc/sandbox/khopesh/20_spamdb_subjects.cf
A    trunk-new-rules-set1/rulesrc/sandbox/wtogami/20_vanity.cf
A    trunk-new-rules-set1/rulesrc/sandbox/khopesh/20_neon_overload.cf
A    trunk-new-rules-set1/rulesrc/sandbox/mmartinec
A    trunk-new-rules-set1/rulesrc/sandbox/dos
A    trunk-new-rules-set1/rulesrc/sandbox/wtogami/20_googlecache.cf
A    trunk-new-rules-set1/rulesrc/sandbox/wtogami/20_bug_6534_uceprotect.cf
A    trunk-new-rules-set1/rulesrc/sandbox/wtogami/README
A    trunk-new-rules-set1/rulesrc/sandbox/maddoc/99_fsl_testing.cf
A    trunk-new-rules-set1/rulesrc/sandbox/maddoc/99_doc_test.cf
A    trunk-new-rules-set1/rulesrc/sandbox/kmcgrail/20_rules_to_sandbox.cf
A    trunk-new-rules-set1/rulesrc/sandbox/dos/new-rule-score-gen
A    trunk-new-rules-set1/rulesrc/sandbox/kmcgrail/20_fake_helo_tests.cf
A    trunk-new-rules-set1/rulesrc/sandbox/kmcgrail/20_freemail.cf
A    trunk-new-rules-set1/rulesrc/sandbox/khopesh/20_bug_6271.cf
A    trunk-new-rules-set1/rulesrc/sandbox/wtogami/20_ubl.cf
A    trunk-new-rules-set1/rulesrc/sandbox/wtogami/20_bug_6212_hostkarma.cf
A    trunk-new-rules-set1/rulesrc/sandbox/wtogami/20_misc.cf
A    trunk-new-rules-set1/rulesrc/sandbox/khopesh/20_rcd_rdns.cf
A    trunk-new-rules-set1/rulesrc/sandbox/khopesh/20_khop_blessed.cf
A    trunk-new-rules-set1/rulesrc/sandbox/khopesh/20_isc_attackers.cf
A    trunk-new-rules-set1/rulesrc/sandbox/khopesh/README
A    trunk-new-rules-set1/rulesrc/sandbox/wtogami/20_bug_6530_tiopan.cf
A    trunk-new-rules-set1/rulesrc/sandbox/wtogami/20_unsafe.cf
A    trunk-new-rules-set1/rulesrc/sandbox/emailed
A    trunk-new-rules-set1/rulesrc/sandbox/duncf
A    trunk-new-rules-set1/rulesrc/sandbox/kmcgrail/20_ac_rules_test.cf
A    trunk-new-rules-set1/rulesrc/sandbox/kmcgrail/20_bug_7063.cf
A    trunk-new-rules-set1/rulesrc/sandbox/kmcgrail/20_html_tests.cf
A    trunk-new-rules-set1/rulesrc/sandbox/kmcgrail/20_bug_7068.cf
A    trunk-new-rules-set1/rulesrc/sandbox/kmcgrail/20_kam.cf
A    trunk-new-rules-set1/rulesrc/sandbox/hstern
A    trunk-new-rules-set1/rulesrc/sandbox/axb
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A    trunk-new-rules-set1/debian/65_debian.cf
A    trunk-new-rules-set1/debian/README.postfix
A    trunk-new-rules-set1/debian/spamassassin.dirs
A    trunk-new-rules-set1/debian/spamassassin.triggers
A    trunk-new-rules-set1/debian/examples/courier
A    trunk-new-rules-set1/debian/source/format
A    trunk-new-rules-set1/debian/examples/filter.sh
A    trunk-new-rules-set1/debian/rules
A    trunk-new-rules-set1/debian/spamassassin.init
A    trunk-new-rules-set1/debian/examples/muttrc
A    trunk-new-rules-set1/debian/spamassassin.default
A    trunk-new-rules-set1/lm
A    trunk-new-rules-set1/lm/inactive
A    trunk-new-rules-set1/lm/inactive/mingo.lm
A    trunk-new-rules-set1/debian/README.Debian
A    trunk-new-rules-set1/lm/inactive/gv.lm
A    trunk-new-rules-set1/lm/inactive/README
A    trunk-new-rules-set1/powered_by/powered_by_SpamAssassin-v2.psd
A    trunk-new-rules-set1/backend/nitemc/corpus.jm
A    trunk-new-rules-set1/backend/nitemc/run_all
A    trunk-new-rules-set1/backend/nitemc/clienthosts
A    trunk-new-rules-set1/backend/root/backup/rsync_spamassassin_to_spamassassin2
A    trunk-new-rules-set1/USAGE
A    trunk-new-rules-set1/spamc/spamc.c
A    trunk-new-rules-set1/spamc/configure
A    trunk-new-rules-set1/spamc/utils.c
A    trunk-new-rules-set1/spamc/Makefile.in
A    trunk-new-rules-set1/spamc/config.h.win
A    trunk-new-rules-set1/xt/20_saw_ampersand.t
A    trunk-new-rules-set1/xt/50_bayessdbm.t
A    trunk-new-rules-set1/xt/50_dcc.t
A    trunk-new-rules-set1/xt/50_dnsbl_sc_meta.t
A    trunk-new-rules-set1/xt/50_root_spamd.t
A    trunk-new-rules-set1/xt/50_root_spamd_tell_x_paranoid.t
A    trunk-new-rules-set1/xt/50_root_spamd_x.t
A    trunk-new-rules-set1/xt/50_spamc_H.t
A    trunk-new-rules-set1/xt/50_spamd_kill_restart.t
A    trunk-new-rules-set1/xt/50_spamd_prefork_stress_3.t
A    trunk-new-rules-set1/xt/50_strip_no_subject.t
A    trunk-new-rules-set1/xt/50_whitelist_from.t
A    trunk-new-rules-set1/xt/60_perlcritic.t
A    trunk-new-rules-set1/contrib/kill-spamd.sh
A    trunk-new-rules-set1/contrib/HOWTO.Bayes-Redis/Redis-server/RH-redis-server.init
A    trunk-new-rules-set1/contrib/run-masses
A    trunk-new-rules-set1/rules-extras/10_uridnsbl_skip_financial.cf
A    trunk-new-rules-set1/debian/patches/10_change_config_paths
A    trunk-new-rules-set1/debian/spamc.substvars
A    trunk-new-rules-set1/debian/spamc/DEBIAN/md5sums
A    trunk-new-rules-set1/debian/spamc/usr/share/doc/spamc/sample-spam.txt
A    trunk-new-rules-set1/debian/spamassassin.README.Debian
A    trunk-new-rules-set1/debian/GPG.KEY
A    trunk-new-rules-set1/debian/spamc.README.Debian
A    trunk-new-rules-set1/debian/spamassassin.postinst
A    trunk-new-rules-set1/debian/spamc.docs
A    trunk-new-rules-set1/debian/examples/gnus
A    trunk-new-rules-set1/debian/copyright
A    trunk-new-rules-set1/lm/build.pl
A    trunk-new-rules-set1/lm/inactive/middle-frisian.lm
A    trunk-new-rules-set1/lm/ko.lm
A    trunk-new-rules-set1/lm/zh.gb2312.lm
A    trunk-new-rules-set1/lm/sw.lm
A    trunk-new-rules-set1/lm/en.lm
A    trunk-new-rules-set1/lm/README
A    trunk-new-rules-set1/lm/lv.lm
A    trunk-new-rules-set1/lm/is.lm
A    trunk-new-rules-set1/lm/ro.lm
A    trunk-new-rules-set1/lm/ja.shift-jis.lm
A    trunk-new-rules-set1/lm/ga.lm
A    trunk-new-rules-set1/lm/ka.lm
A    trunk-new-rules-set1/lm/am.utf-8.lm
A    trunk-new-rules-set1/lm/inactive/br.lm
A    trunk-new-rules-set1/lm/ar.iso-8859-6.lm
A    trunk-new-rules-set1/lm/ms.lm
A    trunk-new-rules-set1/lm/ar.windows-1256.lm
A    trunk-new-rules-set1/lm/inactive/haw.lm
A    trunk-new-rules-set1/lm/cs.iso-8859-2.lm
A    trunk-new-rules-set1/lm/no.lm
A    trunk-new-rules-set1/lm/af.lm
A    trunk-new-rules-set1/lm/sk.windows-1250.lm
A    trunk-new-rules-set1/lm/fr.lm
A    trunk-new-rules-set1/lm/da.lm
A    trunk-new-rules-set1/lm/de.lm
A    trunk-new-rules-set1/lm/bg.iso-8859-5.lm
A    trunk-new-rules-set1/lm/ne.lm
A    trunk-new-rules-set1/lm/eu.lm
A    trunk-new-rules-set1/lm/he.iso-8859-8.lm
A    trunk-new-rules-set1/lm/ca.lm
A    trunk-new-rules-set1/lm/uk.koi8-r.lm
A    trunk-new-rules-set1/lm/la.lm
A    trunk-new-rules-set1/lm/hi.lm
A    trunk-new-rules-set1/lm/be.windows-1251.lm
A    trunk-new-rules-set1/lm/ta.lm
A    trunk-new-rules-set1/lm/hu.lm
A    trunk-new-rules-set1/lm/ru.koi8-r.lm
A    trunk-new-rules-set1/lm/mr.lm
A    trunk-new-rules-set1/lm/fa.lm
A    trunk-new-rules-set1/lm/sv.lm
A    trunk-new-rules-set1/lm/fi.lm
A    trunk-new-rules-set1/lm/sa.lm
A    trunk-new-rules-set1/lm/cy.lm
A    trunk-new-rules-set1/lm/ja.euc-jp.lm
A    trunk-new-rules-set1/lm/rm.lm
A    trunk-new-rules-set1/lm/ja.iso-2022-jp.ln
A    trunk-new-rules-set1/lm/tr.unknown.lm
A    trunk-new-rules-set1/lm/yi.utf-8.lm
A    trunk-new-rules-set1/lm/qu.lm
A    trunk-new-rules-set1/lm/fy.lm
A    trunk-new-rules-set1/lm/sl.iso-8859-2.lm
A    trunk-new-rules-set1/lm/vi.lm
A    trunk-new-rules-set1/lm/hy.lm
A    trunk-new-rules-set1/lm/sco.lm
A    trunk-new-rules-set1/lm/sl.us-ascii.lm
A    trunk-new-rules-set1/lm/sk.us-ascii.lm
A    trunk-new-rules-set1/lm/id.lm
A    trunk-new-rules-set1/lm/ru.windows-1251.lm
A    trunk-new-rules-set1/lm/pl.lm
A    trunk-new-rules-set1/lm/sq.lm
A    trunk-new-rules-set1/lm/gd.lm
A    trunk-new-rules-set1/lm/tl.lm
A    trunk-new-rules-set1/lm/bs.lm
A    trunk-new-rules-set1/lm/ru.iso-8859-5.lm
A    trunk-new-rules-set1/INSTALL.VMS
A    trunk-new-rules-set1/sample-nonspam.txt
A    trunk-new-rules-set1/lm/et.lm
A    trunk-new-rules-set1/lm/th.lm
A    trunk-new-rules-set1/lm/pt.lm
A    trunk-new-rules-set1/lm/zh.big5.lm
A    trunk-new-rules-set1/lm/sr.us-ascii.lm
A    trunk-new-rules-set1/LICENSE
A    trunk-new-rules-set1/lm/tr.iso-8859-9.ln
A    trunk-new-rules-set1/lm/nl.lm
A    trunk-new-rules-set1/lm/lt.lm
A    trunk-new-rules-set1/lm/el.iso-8859-7.lm
A    trunk-new-rules-set1/lm/it.lm
A    trunk-new-rules-set1/lm/hr.us-ascii.lm
A    trunk-new-rules-set1/lm/eo.lm
A    trunk-new-rules-set1/procmailrc.example
A    trunk-new-rules-set1/sample-spam.txt
A    trunk-new-rules-set1/lm/es.lm
A    trunk-new-rules-set1/TRADEMARK
 U   trunk-new-rules-set1
Checked out revision 1894058.
+ svn co http://svn.apache.org/repos/asf/spamassassin/tags/spamassassin_release_3_3_0/rules trunk-new-rules-set1/rules-base
A    trunk-new-rules-set1/rules-base/active.list
A    trunk-new-rules-set1/rules-base/20_vbounce.cf
A    trunk-new-rules-set1/rules-base/60_whitelist.cf
A    trunk-new-rules-set1/rules-base/25_dcc.cf
A    trunk-new-rules-set1/rules-base/20_head_tests.cf
A    trunk-new-rules-set1/rules-base/25_spf.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/23_bayes.cf
A    trunk-new-rules-set1/rules-base/init.pre
A    trunk-new-rules-set1/rules-base/50_scores.cf
A    trunk-new-rules-set1/rules-base/20_meta_tests.cf
A    trunk-new-rules-set1/rules-base/20_imageinfo.cf
A    trunk-new-rules-set1/rules-base/svn_only.pre
A    trunk-new-rules-set1/rules-base/regression_tests.cf
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_drugs.cf
A    trunk-new-rules-set1/rules-base/20_porn.cf
A    trunk-new-rules-set1/rules-base/10_default_prefs.cf
A    trunk-new-rules-set1/rules-base/20_fake_helo_tests.cf
A    trunk-new-rules-set1/rules-base/30_text_pl.cf
A    trunk-new-rules-set1/rules-base/30_text_de.cf
A    trunk-new-rules-set1/rules-base/30_text_fr.cf
A    trunk-new-rules-set1/rules-base/30_text_nl.cf
A    trunk-new-rules-set1/rules-base/20_dnsbl_tests.cf
A    trunk-new-rules-set1/rules-base/30_text_it.cf
A    trunk-new-rules-set1/rules-base/20_compensate.cf
A    trunk-new-rules-set1/rules-base/60_whitelist_subject.cf
A    trunk-new-rules-set1/rules-base/STATISTICS-set0.txt
A    trunk-new-rules-set1/rules-base/25_accessdb.cf
A    trunk-new-rules-set1/rules-base/user_prefs.template
A    trunk-new-rules-set1/rules-base/60_awl.cf
A    trunk-new-rules-set1/rules-base/25_textcat.cf
A    trunk-new-rules-set1/rules-base/STATISTICS-set1.txt
A    trunk-new-rules-set1/rules-base/STATISTICS-set2.txt
A    trunk-new-rules-set1/rules-base/STATISTICS-set3.txt
A    trunk-new-rules-set1/rules-base/25_uribl.cf
A    trunk-new-rules-set1/rules-base/25_dkim.cf
A    trunk-new-rules-set1/rules-base/20_freemail.cf
A    trunk-new-rules-set1/rules-base/20_html_tests.cf
A    trunk-new-rules-set1/rules-base/25_replace.cf
A    trunk-new-rules-set1/rules-base/20_body_tests.cf
A    trunk-new-rules-set1/rules-base/local.cf
A    trunk-new-rules-set1/rules-base/60_shortcircuit.cf
A    trunk-new-rules-set1/rules-base/20_ratware.cf
A    trunk-new-rules-set1/rules-base/v330.pre
A    trunk-new-rules-set1/rules-base/60_adsp_override_dkim.cf
A    trunk-new-rules-set1/rules-base/v310.pre
A    trunk-new-rules-set1/rules-base/25_pyzor.cf
A    trunk-new-rules-set1/rules-base/20_net_tests.cf
A    trunk-new-rules-set1/rules-base/20_phrases.cf
A    trunk-new-rules-set1/rules-base/v320.pre
A    trunk-new-rules-set1/rules-base/25_asn.cf
A    trunk-new-rules-set1/rules-base/60_whitelist_spf.cf
A    trunk-new-rules-set1/rules-base/20_advance_fee.cf
A    trunk-new-rules-set1/rules-base/25_hashcash.cf
A    trunk-new-rules-set1/rules-base/25_antivirus.cf
A    trunk-new-rules-set1/rules-base/languages
 U   trunk-new-rules-set1/rules-base
Checked out revision 1894083.
+ svn co http://svn.apache.org/repos/asf/spamassassin/trunk/rules trunk-new-rules-set1/rules-current
A    trunk-new-rules-set1/rules-current/user_prefs.template
A    trunk-new-rules-set1/rules-current/30_text_de.cf
A    trunk-new-rules-set1/rules-current/active.list
A    trunk-new-rules-set1/rules-current/20_body_tests.cf
A    trunk-new-rules-set1/rules-current/v342.pre
A    trunk-new-rules-set1/rules-current/20_freemail_mailcom_domains.cf
A    trunk-new-rules-set1/rules-current/25_dnswl.cf
A    trunk-new-rules-set1/rules-current/25_razor2.cf
A    trunk-new-rules-set1/rules-current/30_text_pl.cf
A    trunk-new-rules-set1/rules-current/v343.pre
A    trunk-new-rules-set1/rules-current/25_dcc.cf
A    trunk-new-rules-set1/rules-current/60_whitelist_spf.cf
A    trunk-new-rules-set1/rules-current/30_text_nl.cf
A    trunk-new-rules-set1/rules-current/20_html_tests.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_whitelist_auth.cf
A    trunk-new-rules-set1/rules-current/20_dynrdns.cf
A    trunk-new-rules-set1/rules-current/20_fake_helo_tests.cf
A    trunk-new-rules-set1/rules-current/60_whitelist_dkim.cf
A    trunk-new-rules-set1/rules-current/60_whitelist.cf
A    trunk-new-rules-set1/rules-current/60_shortcircuit.cf
A    trunk-new-rules-set1/rules-current/20_mailspike.cf
A    trunk-new-rules-set1/rules-current/v341.pre
A    trunk-new-rules-set1/rules-current/20_imageinfo.cf
A    trunk-new-rules-set1/rules-current/v340.pre
A    trunk-new-rules-set1/rules-current/20_meta_tests.cf
A    trunk-new-rules-set1/rules-current/60_awl.cf
A    trunk-new-rules-set1/rules-current/50_scores.cf
A    trunk-new-rules-set1/rules-current/v400.pre
A    trunk-new-rules-set1/rules-current/60_bayes_stopwords.cf
A    trunk-new-rules-set1/rules-current/20_freemail_domains.cf
A    trunk-new-rules-set1/rules-current/10_hasbase.cf
A    trunk-new-rules-set1/rules-current/20_head_tests.cf
A    trunk-new-rules-set1/rules-current/20_ratware.cf
A    trunk-new-rules-set1/rules-current/73_sandbox_manual_scores.cf
A    trunk-new-rules-set1/rules-current/STATISTICS-set0.txt
A    trunk-new-rules-set1/rules-current/v330.pre
A    trunk-new-rules-set1/rules-current/STATISTICS-set1.txt
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/svn_only.pre
A    trunk-new-rules-set1/rules-current/sa-update-pubkey.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/20_aux_tlds.cf
A    trunk-new-rules-set1/rules-current/60_whitelist_subject.cf
A    trunk-new-rules-set1/rules-current/20_compensate.cf
A    trunk-new-rules-set1/rules-current/25_textcat.cf
A    trunk-new-rules-set1/rules-current/languages
A    trunk-new-rules-set1/rules-current/20_dnsbl_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_asn.cf
A    trunk-new-rules-set1/rules-current/20_drugs.cf
A    trunk-new-rules-set1/rules-current/20_uri_tests.cf
A    trunk-new-rules-set1/rules-current/20_vbounce.cf
A    trunk-new-rules-set1/rules-current/20_phrases.cf
A    trunk-new-rules-set1/rules-current/25_replace.cf
A    trunk-new-rules-set1/rules-current/local.cf
A    trunk-new-rules-set1/rules-current/30_text_fr.cf
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/30_text_pt_br.cf
A    trunk-new-rules-set1/rules-current/regression_tests.cf
A    trunk-new-rules-set1/rules-current/20_freemail.cf
A    trunk-new-rules-set1/rules-current/init.pre
A    trunk-new-rules-set1/rules-current/10_default_prefs.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_adsp_override_dkim.cf
A    trunk-new-rules-set1/rules-current/60_txrep.cf
A    trunk-new-rules-set1/rules-current/20_advance_fee.cf
A    trunk-new-rules-set1/rules-current/STATISTICS-set3.txt
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/25_accessdb.cf
 U   trunk-new-rules-set1/rules-current
Checked out revision 1894083.
+ svn up -r 1894058 trunk-new-rules-set1/rulesrc/
Updating 'trunk-new-rules-set1/rulesrc':
At revision 1894058.
+ svn up trunk-new-rules-set1/masses/
Updating 'trunk-new-rules-set1/masses':
At revision 1894083.
+ svn up trunk-new-rules-set1/build/
Updating 'trunk-new-rules-set1/build':
At revision 1894083.
+ cd trunk-new-rules-set1/masses
+ patch
patching file Makefile
Hunk #1 succeeded at 37 (offset 1 line).
+ 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
Sun 10 Oct 2021 02:29:34 AM UTC
+ 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 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 Email::Address::XS module is not installed.

  Email::Address::XS is used to parse email addresses from header
  fields like To/From/cc, per RFC 5322. If installed, it may additionally
  be used by internal parser to process complex lists.


***************************************************************************
NOTE: the optional Mail::DMARC::PurePerl module is not installed.

  Mail::DMARC::PurePerl is a Perl implementation of DMARC protocol.
  It is used by the optional Dmarc Plugin.

checking binary dependencies and their versions...

***************************************************************************
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: MaxMind::DB::Reader
optional module missing: MaxMind::DB::Reader::XS
optional module missing: Email::Address::XS
optional module missing: Mail::DMARC::PurePerl
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 7.34
+ make
+ grep -v '^score' rules/72_active.cf
+ mv -f rules/72_active.cf-scoreless rules/72_active.cf
+ date
Sun 10 Oct 2021 02:29:52 AM UTC
+ echo '[ running log-grep-recent ]'
+ pwd
[ running log-grep-recent ]
/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-darxus.r1894058.log ../corpus/usable-corpus-set1/ham-net-giovanni-ham.r1894058.log ../corpus/usable-corpus-set1/ham-net-giovanni-spammy.r1894058.log ../corpus/usable-corpus-set1/ham-net-giovanni-spam.r1894058.log ../corpus/usable-corpus-set1/ham-net-grenier.r1894058.log ../corpus/usable-corpus-set1/ham-net-hege.r1894058.log ../corpus/usable-corpus-set1/ham-net-jhardin.r1894058.log ../corpus/usable-corpus-set1/ham-net-llanga.r1894058.log ../corpus/usable-corpus-set1/ham-net-mmiroslaw-mails-ham.r1894058.log ../corpus/usable-corpus-set1/ham-net-mmiroslaw-mails-spam.r1894058.log ../corpus/usable-corpus-set1/ham-net-pds.r1894058.log ../corpus/usable-corpus-set1/ham-net-spamsponge.r1894058.log ../corpus/usable-corpus-set1/ham-net-thendrikx.r1894058.log
Month distribution:

   32875 ( 21%)     32875   0-1 months old
   36291 ( 23%)      3416   1-2 months old
   38903 ( 25%)      2612   2-3 months old
   42036 ( 27%)      3133   3-4 months old
   45625 ( 29%)      3589   4-5 months old
   49475 ( 32%)      3850   5-6 months old
   50535 ( 33%)      1060   6-7 months old
   51599 ( 33%)      1064   7-8 months old
   52974 ( 34%)      1375   8-9 months old
   53819 ( 35%)       845   9-10 months old
   54671 ( 35%)       852  10-11 months old
   55275 ( 36%)       604  11-12 months old
   56001 ( 36%)       726  12-13 months old
   56662 ( 37%)       661  13-14 months old
   57180 ( 37%)       518  14-15 months old
   60124 ( 39%)      2944  15-16 months old
   63142 ( 41%)      3018  16-17 months old
   66491 ( 43%)      3349  17-18 months old
   70278 ( 46%)      3787  18-19 months old
   73774 ( 48%)      3496  19-20 months old
   76557 ( 50%)      2783  20-21 months old
   78905 ( 51%)      2348  21-22 months old
   82050 ( 53%)      3145  22-23 months old
   85702 ( 56%)      3652  23-24 months old
   89321 ( 58%)      3619  24-25 months old
   92591 ( 60%)      3270  25-26 months old
   95487 ( 62%)      2896  26-27 months old
   98586 ( 64%)      3099  27-28 months old
  102186 ( 66%)      3600  28-29 months old
  116094 ( 76%)     13908  29-30 months old
  121223 ( 79%)      5129  30-31 months old
  125286 ( 82%)      4063  31-32 months old
  128694 ( 84%)      3408  32-33 months old
  131643 ( 86%)      2949  33-34 months old
  135275 ( 88%)      3632  34-35 months old
  138991 ( 91%)      3716  35-36 months old
  143243 ( 93%)      4252  36-37 months old
  146243 ( 95%)      3000  37-38 months old
  146624 ( 96%)       381  38-39 months old
  146929 ( 96%)       305  39-40 months old
  147372 ( 96%)       443  40-41 months old
  147776 ( 96%)       404  41-42 months old
  148171 ( 97%)       395  42-43 months old
  148598 ( 97%)       427  43-44 months old
  148905 ( 97%)       307  44-45 months old
  149274 ( 97%)       369  45-46 months old
  149488 ( 97%)       214  46-47 months old
  149673 ( 98%)       185  47-48 months old
  149858 ( 98%)       185  48-49 months old
  149992 ( 98%)       134  49-50 months old
  150102 ( 98%)       110  50-51 months old
  150249 ( 98%)       147  51-52 months old
  150350 ( 98%)       101  52-53 months old
  150511 ( 98%)       161  53-54 months old
  150700 ( 98%)       189  54-55 months old
  150862 ( 98%)       162  55-56 months old
  151053 ( 98%)       191  56-57 months old
  151168 ( 99%)       115  57-58 months old
  151317 ( 99%)       149  58-59 months old
  151464 ( 99%)       147  59-60 months old
  151624 ( 99%)       160  60-61 months old
  151754 ( 99%)       130  61-62 months old
  151835 ( 99%)        81  62-63 months old
  151949 ( 99%)       114  63-64 months old
  152077 ( 99%)       128  64-65 months old
  152217 ( 99%)       140  65-66 months old
  152356 ( 99%)       139  66-67 months old
  152472 ( 99%)       116  67-68 months old
  152510 ( 99%)        38  68-69 months old
  152551 ( 99%)        41  69-70 months old
  152597 ( 99%)        46  70-71 months old
  152632 ( 99%)        35  71-72 months old
  152656 ( 99%)        24  72-73 months old
  152657 (100%)         1  73-74 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-darxus.r1894058.log ../corpus/usable-corpus-set1/spam-net-giovanni-ham.r1894058.log ../corpus/usable-corpus-set1/spam-net-giovanni-spammy.r1894058.log ../corpus/usable-corpus-set1/spam-net-giovanni-spam.r1894058.log ../corpus/usable-corpus-set1/spam-net-grenier.r1894058.log ../corpus/usable-corpus-set1/spam-net-hege.r1894058.log ../corpus/usable-corpus-set1/spam-net-jhardin.r1894058.log ../corpus/usable-corpus-set1/spam-net-llanga.r1894058.log ../corpus/usable-corpus-set1/spam-net-mmiroslaw-mails-ham.r1894058.log ../corpus/usable-corpus-set1/spam-net-mmiroslaw-mails-spam.r1894058.log ../corpus/usable-corpus-set1/spam-net-pds.r1894058.log ../corpus/usable-corpus-set1/spam-net-spamsponge.r1894058.log ../corpus/usable-corpus-set1/spam-net-thendrikx.r1894058.log
Month distribution:

   46963 ( 29%)     46963   0-1 months old
   79481 ( 50%)     32518   1-2 months old
   79629 ( 50%)       148   2-3 months old
   79713 ( 50%)        84   3-4 months old
   79800 ( 50%)        87   4-5 months old
   79876 ( 50%)        76   5-6 months old
   79927 ( 50%)        51   6-7 months old
   79988 ( 50%)        61   7-8 months old
   80058 ( 50%)        70   8-9 months old
   80105 ( 50%)        47   9-10 months old
   80135 ( 50%)        30  10-11 months old
   80183 ( 50%)        48  11-12 months old
   80482 ( 51%)       299  12-13 months old
   81257 ( 51%)       775  13-14 months old
   82152 ( 52%)       895  14-15 months old
   83136 ( 52%)       984  15-16 months old
   84298 ( 53%)      1162  16-17 months old
   85429 ( 54%)      1131  17-18 months old
   86540 ( 55%)      1111  18-19 months old
   87504 ( 55%)       964  19-20 months old
   88196 ( 56%)       692  20-21 months old
   89009 ( 56%)       813  21-22 months old
   89910 ( 57%)       901  22-23 months old
   90622 ( 57%)       712  23-24 months old
   91516 ( 58%)       894  24-25 months old
   92392 ( 58%)       876  25-26 months old
   93266 ( 59%)       874  26-27 months old
   94419 ( 60%)      1153  27-28 months old
   95505 ( 60%)      1086  28-29 months old
   96687 ( 61%)      1182  29-30 months old
   98138 ( 62%)      1451  30-31 months old
  115646 ( 73%)     17508  31-32 months old
  117180 ( 74%)      1534  32-33 months old
  118533 ( 75%)      1353  33-34 months old
  119649 ( 76%)      1116  34-35 months old
  120466 ( 76%)       817  35-36 months old
  121412 ( 77%)       946  36-37 months old
  122896 ( 78%)      1484  37-38 months old
  124212 ( 79%)      1316  38-39 months old
  125485 ( 79%)      1273  39-40 months old
  126844 ( 80%)      1359  40-41 months old
  128206 ( 81%)      1362  41-42 months old
  129244 ( 82%)      1038  42-43 months old
  130065 ( 82%)       821  43-44 months old
  130726 ( 83%)       661  44-45 months old
  131537 ( 83%)       811  45-46 months old
  132409 ( 84%)       872  46-47 months old
  133393 ( 84%)       984  47-48 months old
  134205 ( 85%)       812  48-49 months old
  134931 ( 85%)       726  49-50 months old
  135408 ( 86%)       477  50-51 months old
  135914 ( 86%)       506  51-52 months old
  136437 ( 86%)       523  52-53 months old
  136825 ( 87%)       388  53-54 months old
  137284 ( 87%)       459  54-55 months old
  137694 ( 87%)       410  55-56 months old
  138191 ( 87%)       497  56-57 months old
  138580 ( 88%)       389  57-58 months old
  139012 ( 88%)       432  58-59 months old
  139528 ( 88%)       516  59-60 months old
  140024 ( 89%)       496  60-61 months old
  140610 ( 89%)       586  61-62 months old
  141002 ( 89%)       392  62-63 months old
  141420 ( 89%)       418  63-64 months old
  141918 ( 90%)       498  64-65 months old
  142488 ( 90%)       570  65-66 months old
  143072 ( 90%)       584  66-67 months old
  143589 ( 91%)       517  67-68 months old
  144225 ( 91%)       636  68-69 months old
  144907 ( 92%)       682  69-70 months old
  145522 ( 92%)       615  70-71 months old
  146383 ( 93%)       861  71-72 months old
  147251 ( 93%)       868  72-73 months old
  148113 ( 94%)       862  73-74 months old
  148932 ( 94%)       819  74-75 months old
  149686 ( 95%)       754  75-76 months old
  150683 ( 95%)       997  76-77 months old
  151383 ( 96%)       700  77-78 months old
  152102 ( 96%)       719  78-79 months old
  152809 ( 97%)       707  79-80 months old
  153662 ( 97%)       853  80-81 months old
  154824 ( 98%)      1162  81-82 months old
  155399 ( 98%)       575  82-83 months old
  156229 ( 99%)       830  83-84 months old
  156891 ( 99%)       662  84-85 months old
  157223 (100%)       332  85-86 months old
++ wc -l masses/ham-full.log
++ sed -e 's/^[ \t]*//'
++ cut '-d ' -f1
+ HAMCOUNT=152657
++ wc -l masses/spam-full.log
++ sed -e 's/^[ \t]*//'
++ cut '-d ' -f1
+ SPAMCOUNT=79713
+ echo ' HAM: 152657 (100000 required)'
+ echo 'SPAM: 79713 (100000 required)'
 HAM: 152657 (100000 required)
+ [[ 152657 -lt 100000 ]]
SPAM: 79713 (100000 required)
+ [[ 79713 -lt 100000 ]]
+ echo 'Insufficient spam corpus to generate scores; aborting.'
+ exit 9
Insufficient spam corpus to generate scores; aborting.
+ RV=9
+ '[' 9 -ne 0 ']'
+ echo 'Exit Status 9 is not zero for do-nightly-rescore-example'
Exit Status 9 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 9'
+ echo ''
+ echo 'Exit Status 9 is not zero for do-nightly-rescore-example.'
+ /usr/sbin/sendmail -oi ruleqa@spamassassin.apache.org