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Posted to sysadmins@spamassassin.apache.org by ro...@sa-vm.apache.org on 2022/06/09 02:41:58 UTC

Cron /usr/local/spamassassin/automc/svn/trunk/build/mkupdates/do-stable-update-with-scores force 2>&1 | tee /usr/local/spamassassin/automc/tmp/do-stable-update-with-scores.log

+ echo ''\''Running do-nightly-rescore-example.sh ...'
'Running do-nightly-rescore-example.sh ...
+ echo ''

+ /usr/local/spamassassin/automc/svn/trunk/masses/rule-update-score-gen/do-nightly-rescore-example.sh force
Not Beginning of Week.  Running with 1 first.
/usr/local/spamassassin/automc/tmp/generate-new-scores
Thu 09 Jun 2022 02:25:02 AM UTC
[ rsyncing logs ]
[ rsyncing logs locally ]
sending incremental file list
ham-darxus.r1901658.log
ham-darxus.r1901694.log
ham-ena-week0.r1901658.log
ham-ena-week0.r1901694.log
ham-ena-week1.r1901658.log
ham-ena-week1.r1901694.log
ham-ena-week2.r1901658.log
ham-ena-week2.r1901694.log
ham-ena-week3.r1901658.log
ham-ena-week3.r1901694.log
ham-ena-week4.r1901658.log
ham-ena-week4.r1901694.log
ham-giovanni-ham.r1901658.log
ham-giovanni-ham.r1901694.log
ham-giovanni-spam.r1901658.log
ham-giovanni-spam.r1901694.log
ham-giovanni-spammy.r1901658.log
ham-giovanni-spammy.r1901694.log
ham-grenier.r1901658.log
ham-grenier.r1901694.log
ham-hege.r1901658.log
ham-hege.r1901694.log
ham-jhardin.r1901658.log
ham-jhardin.r1901694.log
ham-llanga.r1901658.log
ham-llanga.r1901694.log
ham-mmiroslaw-mails-ham.r1901658.log
ham-mmiroslaw-mails-ham.r1901694.log
ham-mmiroslaw-mails-spam.r1901658.log
ham-mmiroslaw-mails-spam.r1901694.log
ham-net-darxus.r1901610.log
ham-net-ena-week0.r1901610.log
ham-net-ena-week1.r1901610.log
ham-net-ena-week2.r1901610.log
ham-net-ena-week3.r1901610.log
ham-net-ena-week4.r1901610.log
ham-net-giovanni-ham.r1901610.log
ham-net-giovanni-spam.r1901610.log
ham-net-giovanni-spammy.r1901610.log
ham-net-grenier.r1901610.log
ham-net-hege.r1901610.log
ham-net-jhardin.r1901610.log
ham-net-llanga.r1901610.log
ham-net-mmiroslaw-mails-ham.r1901610.log
ham-net-mmiroslaw-mails-spam.r1901610.log
ham-net-thendrikx.r1901610.log
ham-net-tsz-spam-corpus.r1901610.log
ham-spamsponge.r1901658.log
ham-spamsponge.r1901694.log
ham-thendrikx.r1901658.log
ham-thendrikx.r1901694.log
ham-tsz-spam-corpus.r1901658.log
ham-tsz-spam-corpus.r1901694.log
spam-darxus.r1901658.log
spam-darxus.r1901694.log
spam-ena-week0.r1901658.log
spam-ena-week0.r1901694.log
spam-ena-week1.r1901658.log
spam-ena-week1.r1901694.log
spam-ena-week2.r1901658.log
spam-ena-week2.r1901694.log
spam-ena-week3.r1901658.log
spam-ena-week3.r1901694.log
spam-ena-week4.r1901658.log
spam-ena-week4.r1901694.log
spam-giovanni-ham.r1901658.log
spam-giovanni-ham.r1901694.log
spam-giovanni-spam.r1901658.log
spam-giovanni-spam.r1901694.log
spam-giovanni-spammy.r1901658.log
spam-giovanni-spammy.r1901694.log
spam-grenier.r1901658.log
spam-grenier.r1901694.log
spam-hege.r1901658.log
spam-hege.r1901694.log
spam-jhardin.r1901658.log
spam-jhardin.r1901694.log
spam-llanga.r1901658.log
spam-llanga.r1901694.log
spam-mmiroslaw-mails-ham.r1901658.log
spam-mmiroslaw-mails-ham.r1901694.log
spam-mmiroslaw-mails-spam.r1901658.log
spam-mmiroslaw-mails-spam.r1901694.log
spam-net-darxus.r1901610.log
spam-net-ena-week0.r1901610.log
spam-net-ena-week1.r1901610.log
spam-net-ena-week2.r1901610.log
spam-net-ena-week3.r1901610.log
spam-net-ena-week4.r1901610.log
spam-net-giovanni-ham.r1901610.log
spam-net-giovanni-spam.r1901610.log
spam-net-giovanni-spammy.r1901610.log
spam-net-grenier.r1901610.log
spam-net-hege.r1901610.log
spam-net-jhardin.r1901610.log
spam-net-llanga.r1901610.log
spam-net-mmiroslaw-mails-ham.r1901610.log
spam-net-mmiroslaw-mails-spam.r1901610.log
spam-net-thendrikx.r1901610.log
spam-net-tsz-spam-corpus.r1901610.log
spam-spamsponge.r1901658.log
spam-spamsponge.r1901694.log
spam-thendrikx.r1901658.log
spam-thendrikx.r1901694.log
spam-tsz-spam-corpus.r1901658.log
spam-tsz-spam-corpus.r1901694.log

sent 4,960,957,328 bytes  received 2,030 bytes  132,292,249.55 bytes/sec
total size is 4,959,738,872  speedup is 1.00
Thu 09 Jun 2022 02:25:39 AM UTC
[ selecting log files to use for scoreset 1 ]
Linked ham-net-ena-week1.r1901610.log to corpus/usable-corpus-set1/ham-net-ena-week1.r1901610.log
Linked spam-net-giovanni-spam.r1901610.log to corpus/usable-corpus-set1/spam-net-giovanni-spam.r1901610.log
Linked ham-net-llanga.r1901610.log to corpus/usable-corpus-set1/ham-net-llanga.r1901610.log
Linked ham-net-giovanni-ham.r1901610.log to corpus/usable-corpus-set1/ham-net-giovanni-ham.r1901610.log
Linked spam-net-grenier.r1901610.log to corpus/usable-corpus-set1/spam-net-grenier.r1901610.log
Linked ham-net-thendrikx.r1901610.log to corpus/usable-corpus-set1/ham-net-thendrikx.r1901610.log
Linked spam-net-thendrikx.r1901610.log to corpus/usable-corpus-set1/spam-net-thendrikx.r1901610.log
Linked ham-net-mmiroslaw-mails-spam.r1901610.log to corpus/usable-corpus-set1/ham-net-mmiroslaw-mails-spam.r1901610.log
Linked spam-net-darxus.r1901610.log to corpus/usable-corpus-set1/spam-net-darxus.r1901610.log
Linked ham-net-hege.r1901610.log to corpus/usable-corpus-set1/ham-net-hege.r1901610.log
Linked spam-net-ena-week3.r1901610.log to corpus/usable-corpus-set1/spam-net-ena-week3.r1901610.log
Linked ham-net-ena-week4.r1901610.log to corpus/usable-corpus-set1/ham-net-ena-week4.r1901610.log
Linked spam-net-ena-week4.r1901610.log to corpus/usable-corpus-set1/spam-net-ena-week4.r1901610.log
Linked ham-net-jhardin.r1901610.log to corpus/usable-corpus-set1/ham-net-jhardin.r1901610.log
Linked spam-net-ena-week1.r1901610.log to corpus/usable-corpus-set1/spam-net-ena-week1.r1901610.log
Linked ham-net-ena-week0.r1901610.log to corpus/usable-corpus-set1/ham-net-ena-week0.r1901610.log
Linked ham-net-darxus.r1901610.log to corpus/usable-corpus-set1/ham-net-darxus.r1901610.log
Linked ham-net-ena-week3.r1901610.log to corpus/usable-corpus-set1/ham-net-ena-week3.r1901610.log
Linked ham-net-giovanni-spammy.r1901610.log to corpus/usable-corpus-set1/ham-net-giovanni-spammy.r1901610.log
Linked spam-net-ena-week2.r1901610.log to corpus/usable-corpus-set1/spam-net-ena-week2.r1901610.log
Linked spam-net-ena-week0.r1901610.log to corpus/usable-corpus-set1/spam-net-ena-week0.r1901610.log
Linked spam-net-llanga.r1901610.log to corpus/usable-corpus-set1/spam-net-llanga.r1901610.log
Linked spam-net-giovanni-spammy.r1901610.log to corpus/usable-corpus-set1/spam-net-giovanni-spammy.r1901610.log
Linked ham-net-tsz-spam-corpus.r1901610.log to corpus/usable-corpus-set1/ham-net-tsz-spam-corpus.r1901610.log
Linked ham-net-giovanni-spam.r1901610.log to corpus/usable-corpus-set1/ham-net-giovanni-spam.r1901610.log
Linked spam-net-tsz-spam-corpus.r1901610.log to corpus/usable-corpus-set1/spam-net-tsz-spam-corpus.r1901610.log
Linked spam-net-giovanni-ham.r1901610.log to corpus/usable-corpus-set1/spam-net-giovanni-ham.r1901610.log
Linked ham-net-ena-week2.r1901610.log to corpus/usable-corpus-set1/ham-net-ena-week2.r1901610.log
Linked spam-net-jhardin.r1901610.log to corpus/usable-corpus-set1/spam-net-jhardin.r1901610.log
Linked spam-net-hege.r1901610.log to corpus/usable-corpus-set1/spam-net-hege.r1901610.log
Linked ham-net-grenier.r1901610.log to corpus/usable-corpus-set1/ham-net-grenier.r1901610.log
Linked spam-net-mmiroslaw-mails-ham.r1901610.log to corpus/usable-corpus-set1/spam-net-mmiroslaw-mails-ham.r1901610.log
Linked ham-net-mmiroslaw-mails-ham.r1901610.log to corpus/usable-corpus-set1/ham-net-mmiroslaw-mails-ham.r1901610.log
Linked spam-net-mmiroslaw-mails-spam.r1901610.log to corpus/usable-corpus-set1/spam-net-mmiroslaw-mails-spam.r1901610.log

Majority SVN revision found: 1901610

Checking corpus/usable-corpus-set1/ham-net-ena-week1.r1901610.log for SVN 1901610...
# SVN revision: 1901610
Checking corpus/usable-corpus-set1/spam-net-giovanni-spam.r1901610.log for SVN 1901610...
# SVN revision: 1901610
Checking corpus/usable-corpus-set1/ham-net-llanga.r1901610.log for SVN 1901610...
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Checking corpus/usable-corpus-set1/ham-net-giovanni-ham.r1901610.log for SVN 1901610...
# SVN revision: 1901610
Checking corpus/usable-corpus-set1/spam-net-grenier.r1901610.log for SVN 1901610...
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Checking corpus/usable-corpus-set1/ham-net-thendrikx.r1901610.log for SVN 1901610...
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Checking corpus/usable-corpus-set1/spam-net-thendrikx.r1901610.log for SVN 1901610...
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Checking corpus/usable-corpus-set1/ham-net-mmiroslaw-mails-spam.r1901610.log for SVN 1901610...
# SVN revision: 1901610
Checking corpus/usable-corpus-set1/spam-net-darxus.r1901610.log for SVN 1901610...
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Checking corpus/usable-corpus-set1/ham-net-hege.r1901610.log for SVN 1901610...
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Checking corpus/usable-corpus-set1/ham-net-ena-week4.r1901610.log for SVN 1901610...
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Checking corpus/usable-corpus-set1/spam-net-ena-week4.r1901610.log for SVN 1901610...
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Checking corpus/usable-corpus-set1/ham-net-jhardin.r1901610.log for SVN 1901610...
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Checking corpus/usable-corpus-set1/ham-net-ena-week0.r1901610.log for SVN 1901610...
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Checking corpus/usable-corpus-set1/spam-net-ena-week2.r1901610.log for SVN 1901610...
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Checking corpus/usable-corpus-set1/ham-net-grenier.r1901610.log for SVN 1901610...
# SVN revision: 1901610
Checking corpus/usable-corpus-set1/spam-net-mmiroslaw-mails-ham.r1901610.log for SVN 1901610...
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Checking corpus/usable-corpus-set1/spam-net-mmiroslaw-mails-spam.r1901610.log for SVN 1901610...
# SVN revision: 1901610
 HAM CONTRIBUTORS FOUND: 17 (required 8)
SPAM CONTRIBUTORS FOUND: 17 (required 8)
Thu 09 Jun 2022 02:25:39 AM UTC
[ checking out code from svn repository ]
+ svn co -r 1901610 http://svn.apache.org/repos/asf/spamassassin/trunk trunk-new-rules-set1
A    trunk-new-rules-set1/rules
A    trunk-new-rules-set1/rules/local.cf
A    trunk-new-rules-set1/rules/active.list
A    trunk-new-rules-set1/rules/25_pyzor.cf
A    trunk-new-rules-set1/rules/60_bayes_stopwords.cf
A    trunk-new-rules-set1/rules/20_aux_tlds.cf
A    trunk-new-rules-set1/rules/60_welcomelist_auth.cf
A    trunk-new-rules-set1/rules/v342.pre
A    trunk-new-rules-set1/rules/50_scores.cf
A    trunk-new-rules-set1/rules/25_url_shortener.cf
A    trunk-new-rules-set1/rules/v400.pre
A    trunk-new-rules-set1/rules/25_dmarc.cf
A    trunk-new-rules-set1/rules/20_ratware.cf
A    trunk-new-rules-set1/rules/20_freemail_domains.cf
A    trunk-new-rules-set1/rules/60_welcomelist.cf
A    trunk-new-rules-set1/rules/20_pdfinfo.cf
A    trunk-new-rules-set1/rules/60_welcomelist_dkim.cf
A    trunk-new-rules-set1/rules/60_welcomelist_spf.cf
A    trunk-new-rules-set1/rules/60_welcomelist_subject.cf
A    trunk-new-rules-set1/rules/20_fake_helo_tests.cf
A    trunk-new-rules-set1/rules/v310.pre
A    trunk-new-rules-set1/rules/v312.pre
A    trunk-new-rules-set1/rules/v341.pre
A    trunk-new-rules-set1/rules/v343.pre
A    trunk-new-rules-set1/rules/20_dnsbl_tests.cf
A    trunk-new-rules-set1/rules/20_mailspike.cf
A    trunk-new-rules-set1/rules/20_vbounce.cf
A    trunk-new-rules-set1/rules/30_text_de.cf
A    trunk-new-rules-set1/rules/20_head_tests.cf
A    trunk-new-rules-set1/rules/30_text_fr.cf
A    trunk-new-rules-set1/rules/30_text_pl.cf
A    trunk-new-rules-set1/rules/25_uribl.cf
A    trunk-new-rules-set1/rules/20_uri_tests.cf
A    trunk-new-rules-set1/rules/user_prefs.template
A    trunk-new-rules-set1/rules/20_freemail.cf
A    trunk-new-rules-set1/rules/30_text_pt_br.cf
A    trunk-new-rules-set1/rules/60_awl.cf
A    trunk-new-rules-set1/rules/60_shortcircuit.cf
A    trunk-new-rules-set1/rules/init.pre
A    trunk-new-rules-set1/rules/25_dcc.cf
A    trunk-new-rules-set1/rules/25_razor2.cf
A    trunk-new-rules-set1/rulesrc
A    trunk-new-rules-set1/rulesrc/scores
A    trunk-new-rules-set1/rules/20_drugs.cf
A    trunk-new-rules-set1/rules/languages
A    trunk-new-rules-set1/rules/20_dynrdns.cf
A    trunk-new-rules-set1/rulesrc/sandbox
A    trunk-new-rules-set1/rulesrc/sandbox/jhardin
A    trunk-new-rules-set1/rules/10_default_prefs.cf
A    trunk-new-rules-set1/rules/10_hasbase.cf
A    trunk-new-rules-set1/rules/23_bayes.cf
A    trunk-new-rules-set1/rules/25_replace.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_body_tests.cf
A    trunk-new-rules-set1/rules/20_freemail_mailcom_domains.cf
A    trunk-new-rules-set1/rules/STATISTICS-set0.txt
A    trunk-new-rules-set1/rules/25_dnswl.cf
A    trunk-new-rules-set1/rules/73_sandbox_manual_scores.cf
A    trunk-new-rules-set1/rules/25_asn.cf
A    trunk-new-rules-set1/rules/20_phrases.cf
A    trunk-new-rules-set1/rules/regression_tests.cf
A    trunk-new-rules-set1/rules/25_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_dkim.cf
A    trunk-new-rules-set1/rulesrc/sandbox/gbechis
A    trunk-new-rules-set1/rules/STATISTICS-set3.txt
A    trunk-new-rules-set1/rules/20_imageinfo.cf
A    trunk-new-rules-set1/rules/20_meta_tests.cf
A    trunk-new-rules-set1/rules/20_advance_fee.cf
A    trunk-new-rules-set1/rules/v340.pre
A    trunk-new-rules-set1/rules/sa-update-pubkey.txt
A    trunk-new-rules-set1/rulesrc/sandbox/khopesh
A    trunk-new-rules-set1/rules/STATISTICS-set2.txt
A    trunk-new-rules-set1/rules/20_net_tests.cf
A    trunk-new-rules-set1/rules/svn_only.pre
A    trunk-new-rules-set1/rules/STATISTICS-set1.txt
A    trunk-new-rules-set1/rules/v330.pre
A    trunk-new-rules-set1/rules/20_porn.cf
A    trunk-new-rules-set1/rules/25_accessdb.cf
A    trunk-new-rules-set1/rules/30_text_it.cf
A    trunk-new-rules-set1/rules/v320.pre
A    trunk-new-rules-set1/rules/25_antivirus.cf
A    trunk-new-rules-set1/rulesrc/scores/72_scores.cf
A    trunk-new-rules-set1/rules/20_compensate.cf
A    trunk-new-rules-set1/rules/25_textcat.cf
A    trunk-new-rules-set1/rulesrc/sandbox/pds
A    trunk-new-rules-set1/rulesrc/scores/scores-set1
A    trunk-new-rules-set1/rulesrc/scores/stats-set0
A    trunk-new-rules-set1/rulesrc/scores/stats-set3
A    trunk-new-rules-set1/rulesrc/scores/scores-set2
A    trunk-new-rules-set1/rulesrc/scores/stats-set1
A    trunk-new-rules-set1/rulesrc/scores/scores-set0
A    trunk-new-rules-set1/rulesrc/scores/scores-set3
A    trunk-new-rules-set1/rulesrc/scores/stats-set2
A    trunk-new-rules-set1/rulesrc/sandbox/jhardin/40_local_googlestorage.cf
A    trunk-new-rules-set1/rulesrc/sandbox/jhardin/40_local_419replyto.cf
A    trunk-new-rules-set1/rulesrc/sandbox/jhardin/20_misc_testing.cf
A    trunk-new-rules-set1/rulesrc/sandbox/jhardin/20_fillform.cf
A    trunk-new-rules-set1/rulesrc/sandbox/jhardin/40_local_azurephish.cf
A    trunk-new-rules-set1/rulesrc/sandbox/jhardin/20_shared_subrules.cf
A    trunk-new-rules-set1/rulesrc/sandbox/jhardin/20_tbird_image_spam.cf
A    trunk-new-rules-set1/rulesrc/sandbox/jhardin/20_postcards.cf
A    trunk-new-rules-set1/rulesrc/sandbox/jhardin/20_lotsa_money.cf
A    trunk-new-rules-set1/rulesrc/sandbox/jhardin/20_MIME_in_body.cf
A    trunk-new-rules-set1/rulesrc/sandbox/jhardin/20_uri_obfu_ws.cf
A    trunk-new-rules-set1/rulesrc/sandbox/billcole
A    trunk-new-rules-set1/rulesrc/sandbox/gbechis/20_freemail.cf
A    trunk-new-rules-set1/rulesrc/sandbox/gbechis/20_btc.cf
A    trunk-new-rules-set1/rulesrc/sandbox/gbechis/20_xmr.cf
A    trunk-new-rules-set1/rulesrc/sandbox/jhardin/20_advance_fee_reevolved.cf
A    trunk-new-rules-set1/rulesrc/sandbox/gbechis/20_wp.cf
A    trunk-new-rules-set1/rulesrc/sandbox/jhardin/20_MIME_no_text.cf
A    trunk-new-rules-set1/rulesrc/sandbox/dos
A    trunk-new-rules-set1/rulesrc/sandbox/dos/new-rule-score-gen
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Checked out revision 1901610.
+ 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/25_spf.cf
A    trunk-new-rules-set1/rules-base/v312.pre
A    trunk-new-rules-set1/rules-base/20_vbounce.cf
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/active.list
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/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/20_meta_tests.cf
A    trunk-new-rules-set1/rules-base/20_imageinfo.cf
A    trunk-new-rules-set1/rules-base/regression_tests.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/svn_only.pre
A    trunk-new-rules-set1/rules-base/50_scores.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/30_text_it.cf
A    trunk-new-rules-set1/rules-base/60_awl.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/25_accessdb.cf
A    trunk-new-rules-set1/rules-base/25_textcat.cf
A    trunk-new-rules-set1/rules-base/user_prefs.template
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/STATISTICS-set0.txt
A    trunk-new-rules-set1/rules-base/STATISTICS-set1.txt
A    trunk-new-rules-set1/rules-base/languages
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
 U   trunk-new-rules-set1/rules-base
Checked out revision 1901764.
+ svn co http://svn.apache.org/repos/asf/spamassassin/trunk/rules trunk-new-rules-set1/rules-current
A    trunk-new-rules-set1/rules-current/60_bayes_stopwords.cf
A    trunk-new-rules-set1/rules-current/20_ratware.cf
A    trunk-new-rules-set1/rules-current/active.list
A    trunk-new-rules-set1/rules-current/local.cf
A    trunk-new-rules-set1/rules-current/25_pyzor.cf
A    trunk-new-rules-set1/rules-current/20_pdfinfo.cf
A    trunk-new-rules-set1/rules-current/60_welcomelist_auth.cf
A    trunk-new-rules-set1/rules-current/v342.pre
A    trunk-new-rules-set1/rules-current/20_uri_tests.cf
A    trunk-new-rules-set1/rules-current/regression_tests.cf
A    trunk-new-rules-set1/rules-current/20_phrases.cf
A    trunk-new-rules-set1/rules-current/50_scores.cf
A    trunk-new-rules-set1/rules-current/25_url_shortener.cf
A    trunk-new-rules-set1/rules-current/v400.pre
A    trunk-new-rules-set1/rules-current/25_dmarc.cf
A    trunk-new-rules-set1/rules-current/60_welcomelist.cf
A    trunk-new-rules-set1/rules-current/20_aux_tlds.cf
A    trunk-new-rules-set1/rules-current/20_body_tests.cf
A    trunk-new-rules-set1/rules-current/20_freemail_domains.cf
A    trunk-new-rules-set1/rules-current/20_fake_helo_tests.cf
A    trunk-new-rules-set1/rules-current/60_welcomelist_dkim.cf
A    trunk-new-rules-set1/rules-current/60_welcomelist_spf.cf
A    trunk-new-rules-set1/rules-current/60_welcomelist_subject.cf
A    trunk-new-rules-set1/rules-current/v310.pre
A    trunk-new-rules-set1/rules-current/v312.pre
A    trunk-new-rules-set1/rules-current/v341.pre
A    trunk-new-rules-set1/rules-current/v343.pre
A    trunk-new-rules-set1/rules-current/20_dnsbl_tests.cf
A    trunk-new-rules-set1/rules-current/20_mailspike.cf
A    trunk-new-rules-set1/rules-current/20_vbounce.cf
A    trunk-new-rules-set1/rules-current/20_freemail_mailcom_domains.cf
A    trunk-new-rules-set1/rules-current/23_bayes.cf
A    trunk-new-rules-set1/rules-current/30_text_de.cf
A    trunk-new-rules-set1/rules-current/30_text_fr.cf
A    trunk-new-rules-set1/rules-current/30_text_pl.cf
A    trunk-new-rules-set1/rules-current/10_default_prefs.cf
A    trunk-new-rules-set1/rules-current/20_head_tests.cf
A    trunk-new-rules-set1/rules-current/25_uribl.cf
A    trunk-new-rules-set1/rules-current/20_drugs.cf
A    trunk-new-rules-set1/rules-current/user_prefs.template
A    trunk-new-rules-set1/rules-current/20_meta_tests.cf
A    trunk-new-rules-set1/rules-current/30_text_pt_br.cf
A    trunk-new-rules-set1/rules-current/60_awl.cf
A    trunk-new-rules-set1/rules-current/60_shortcircuit.cf
A    trunk-new-rules-set1/rules-current/30_text_nl.cf
A    trunk-new-rules-set1/rules-current/25_dnswl.cf
A    trunk-new-rules-set1/rules-current/25_dkim.cf
A    trunk-new-rules-set1/rules-current/20_imageinfo.cf
A    trunk-new-rules-set1/rules-current/60_adsp_override_dkim.cf
A    trunk-new-rules-set1/rules-current/init.pre
A    trunk-new-rules-set1/rules-current/25_dcc.cf
A    trunk-new-rules-set1/rules-current/25_razor2.cf
A    trunk-new-rules-set1/rules-current/20_advance_fee.cf
A    trunk-new-rules-set1/rules-current/languages
A    trunk-new-rules-set1/rules-current/20_dynrdns.cf
A    trunk-new-rules-set1/rules-current/10_hasbase.cf
A    trunk-new-rules-set1/rules-current/73_sandbox_manual_scores.cf
A    trunk-new-rules-set1/rules-current/25_asn.cf
A    trunk-new-rules-set1/rules-current/25_replace.cf
A    trunk-new-rules-set1/rules-current/20_freemail.cf
A    trunk-new-rules-set1/rules-current/20_html_tests.cf
A    trunk-new-rules-set1/rules-current/25_spf.cf
A    trunk-new-rules-set1/rules-current/60_txrep.cf
A    trunk-new-rules-set1/rules-current/v340.pre
A    trunk-new-rules-set1/rules-current/STATISTICS-set1.txt
A    trunk-new-rules-set1/rules-current/STATISTICS-set0.txt
A    trunk-new-rules-set1/rules-current/20_net_tests.cf
A    trunk-new-rules-set1/rules-current/STATISTICS-set2.txt
A    trunk-new-rules-set1/rules-current/sa-update-pubkey.txt
A    trunk-new-rules-set1/rules-current/STATISTICS-set3.txt
A    trunk-new-rules-set1/rules-current/v320.pre
A    trunk-new-rules-set1/rules-current/30_text_it.cf
A    trunk-new-rules-set1/rules-current/v330.pre
A    trunk-new-rules-set1/rules-current/svn_only.pre
A    trunk-new-rules-set1/rules-current/25_accessdb.cf
A    trunk-new-rules-set1/rules-current/20_compensate.cf
A    trunk-new-rules-set1/rules-current/25_antivirus.cf
A    trunk-new-rules-set1/rules-current/20_porn.cf
A    trunk-new-rules-set1/rules-current/25_textcat.cf
 U   trunk-new-rules-set1/rules-current
Checked out revision 1901764.
+ svn up -r 1901610 trunk-new-rules-set1/rulesrc/
Updating 'trunk-new-rules-set1/rulesrc':
At revision 1901610.
+ svn up trunk-new-rules-set1/masses/
Updating 'trunk-new-rules-set1/masses':
At revision 1901764.
+ svn up trunk-new-rules-set1/build/
Updating 'trunk-new-rules-set1/build':
At revision 1901764.
+ 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
Thu 09 Jun 2022 02:25:48 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 Net::LibIDN2 module is not installed.

  Newer version of the optional Net::LibIDN module.
  Provides mapping between Internationalized Domain Names (IDN) in
  Unicode and ASCII-compatible encoding (ACE) for use in DNS and comparisions.
  The module is optional, but without it Unicode IDN names found in mail will
  not be suitable for DNS queries and welcome/blocklisting.


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

  Mail::DMARC 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: Net::LibIDN2
optional module missing: Mail::DMARC
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
Thu 09 Jun 2022 02:26:07 AM UTC
+ echo '[ running log-grep-recent ]'
[ running log-grep-recent ]
+ pwd
/usr/local/spamassassin/automc/tmp/generate-new-scores/trunk-new-rules-set1
+ echo -e '\nmasses/log-grep-recent -m 96 ../corpus/usable-corpus-set1/ham-*.log > masses/ham-full.log'

masses/log-grep-recent -m 96 ../corpus/usable-corpus-set1/ham-*.log > masses/ham-full.log
+ masses/log-grep-recent -m 96 ../corpus/usable-corpus-set1/ham-net-darxus.r1901610.log ../corpus/usable-corpus-set1/ham-net-ena-week0.r1901610.log ../corpus/usable-corpus-set1/ham-net-ena-week1.r1901610.log ../corpus/usable-corpus-set1/ham-net-ena-week2.r1901610.log ../corpus/usable-corpus-set1/ham-net-ena-week3.r1901610.log ../corpus/usable-corpus-set1/ham-net-ena-week4.r1901610.log ../corpus/usable-corpus-set1/ham-net-giovanni-ham.r1901610.log ../corpus/usable-corpus-set1/ham-net-giovanni-spammy.r1901610.log ../corpus/usable-corpus-set1/ham-net-giovanni-spam.r1901610.log ../corpus/usable-corpus-set1/ham-net-grenier.r1901610.log ../corpus/usable-corpus-set1/ham-net-hege.r1901610.log ../corpus/usable-corpus-set1/ham-net-jhardin.r1901610.log ../corpus/usable-corpus-set1/ham-net-llanga.r1901610.log ../corpus/usable-corpus-set1/ham-net-mmiroslaw-mails-ham.r1901610.log ../corpus/usable-corpus-set1/ham-net-mmiroslaw-mails-spam.r1901610.log ../corpus/usable-corpus-set1/ham-net-thendrikx.r
 1901610.log ../corpus/usable-corpus-set1/ham-net-tsz-spam-corpus.r1901610.log
Month distribution:

  121325 ( 28%)    121325   0-1 months old
  196494 ( 46%)     75169   1-2 months old
  221890 ( 52%)     25396   2-3 months old
  250087 ( 59%)     28197   3-4 months old
  268232 ( 63%)     18145   4-5 months old
  287782 ( 68%)     19550   5-6 months old
  291434 ( 69%)      3652   6-7 months old
  295457 ( 70%)      4023   7-8 months old
  299170 ( 70%)      3713   8-9 months old
  302508 ( 71%)      3338   9-10 months old
  305139 ( 72%)      2631  10-11 months old
  308506 ( 73%)      3367  11-12 months old
  312104 ( 74%)      3598  12-13 months old
  316936 ( 75%)      4832  13-14 months old
  318775 ( 75%)      1839  14-15 months old
  320565 ( 76%)      1790  15-16 months old
  322780 ( 76%)      2215  16-17 months old
  324334 ( 76%)      1554  17-18 months old
  325898 ( 77%)      1564  18-19 months old
  327490 ( 77%)      1592  19-20 months old
  328994 ( 78%)      1504  20-21 months old
  330374 ( 78%)      1380  21-22 months old
  331650 ( 78%)      1276  22-23 months old
  335061 ( 79%)      3411  23-24 months old
  338701 ( 80%)      3640  24-25 months old
  343045 ( 81%)      4344  25-26 months old
  346964 ( 82%)      3919  26-27 months old
  351114 ( 83%)      4150  27-28 months old
  354448 ( 84%)      3334  28-29 months old
  357137 ( 84%)      2689  29-30 months old
  360827 ( 85%)      3690  30-31 months old
  364239 ( 86%)      3412  31-32 months old
  368121 ( 87%)      3882  32-33 months old
  371222 ( 88%)      3101  33-34 months old
  374198 ( 88%)      2976  34-35 months old
  377316 ( 89%)      3118  35-36 months old
  380947 ( 90%)      3631  36-37 months old
  385000 ( 91%)      4053  37-38 months old
  390171 ( 92%)      5171  38-39 months old
  394506 ( 93%)      4335  39-40 months old
  397715 ( 94%)      3209  40-41 months old
  400804 ( 95%)      3089  41-42 months old
  404226 ( 95%)      3422  42-43 months old
  408018 ( 96%)      3792  43-44 months old
  412198 ( 97%)      4180  44-45 months old
  415528 ( 98%)      3330  45-46 months old
  415904 ( 98%)       376  46-47 months old
  416206 ( 98%)       302  47-48 months old
  416664 ( 98%)       458  48-49 months old
  417099 ( 98%)       435  49-50 months old
  417500 ( 99%)       401  50-51 months old
  417942 ( 99%)       442  51-52 months old
  418267 ( 99%)       325  52-53 months old
  418662 ( 99%)       395  53-54 months old
  418863 ( 99%)       201  54-55 months old
  419122 ( 99%)       259  55-56 months old
  419300 ( 99%)       178  56-57 months old
  419477 ( 99%)       177  57-58 months old
  419607 ( 99%)       130  58-59 months old
  419807 ( 99%)       200  59-60 months old
  419997 ( 99%)       190  60-61 months old
  420214 ( 99%)       217  61-62 months old
  420426 ( 99%)       212  62-63 months old
  420621 ( 99%)       195  63-64 months old
  420835 ( 99%)       214  64-65 months old
  420959 ( 99%)       124  65-66 months old
  421134 ( 99%)       175  66-67 months old
  421230 ( 99%)        96  67-68 months old
  421273 ( 99%)        43  68-69 months old
  421320 ( 99%)        47  69-70 months old
  421345 ( 99%)        25  70-71 months old
  421385 ( 99%)        40  71-72 months old
  421441 ( 99%)        56  72-73 months old
  421455 (100%)        14  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.r1901610.log ../corpus/usable-corpus-set1/spam-net-ena-week0.r1901610.log ../corpus/usable-corpus-set1/spam-net-ena-week1.r1901610.log ../corpus/usable-corpus-set1/spam-net-ena-week2.r1901610.log ../corpus/usable-corpus-set1/spam-net-ena-week3.r1901610.log ../corpus/usable-corpus-set1/spam-net-ena-week4.r1901610.log ../corpus/usable-corpus-set1/spam-net-giovanni-ham.r1901610.log ../corpus/usable-corpus-set1/spam-net-giovanni-spammy.r1901610.log ../corpus/usable-corpus-set1/spam-net-giovanni-spam.r1901610.log ../corpus/usable-corpus-set1/spam-net-grenier.r1901610.log ../corpus/usable-corpus-set1/spam-net-hege.r1901610.log ../corpus/usable-corpus-set1/spam-net-jhardin.r1901610.log ../corpus/usable-corpus-set1/spam-net-llanga.r1901610.log ../corpus/usable-corpus-set1/spam-net-mmiroslaw-mails-ham.r1901610.log ../corpus/usable-corpus-set1/spam-net-mmiroslaw-mails-spam.r1901610.log ../corpus/usable-corpus-set1/spam-
 net-thendrikx.r1901610.log ../corpus/usable-corpus-set1/spam-net-tsz-spam-corpus.r1901610.log
Month distribution:

  324823 ( 65%)    324823   0-1 months old
  414078 ( 84%)     89255   1-2 months old
  414335 ( 84%)       257   2-3 months old
  414401 ( 84%)        66   3-4 months old
  414482 ( 84%)        81   4-5 months old
  414536 ( 84%)        54   5-6 months old
  414663 ( 84%)       127   6-7 months old
  414688 ( 84%)        25   7-8 months old
  414701 ( 84%)        13   8-9 months old
  414726 ( 84%)        25   9-10 months old
  414825 ( 84%)        99  10-11 months old
  414910 ( 84%)        85  11-12 months old
  414989 ( 84%)        79  12-13 months old
  415073 ( 84%)        84  13-14 months old
  415120 ( 84%)        47  14-15 months old
  415184 ( 84%)        64  15-16 months old
  415252 ( 84%)        68  16-17 months old
  415303 ( 84%)        51  17-18 months old
  415334 ( 84%)        31  18-19 months old
  415375 ( 84%)        41  19-20 months old
  415644 ( 84%)       269  20-21 months old
  416404 ( 84%)       760  21-22 months old
  417287 ( 84%)       883  22-23 months old
  418259 ( 84%)       972  23-24 months old
  419422 ( 85%)      1163  24-25 months old
  420569 ( 85%)      1147  25-26 months old
  421672 ( 85%)      1103  26-27 months old
  422642 ( 85%)       970  27-28 months old
  423356 ( 85%)       714  28-29 months old
  424133 ( 86%)       777  29-30 months old
  425040 ( 86%)       907  30-31 months old
  425776 ( 86%)       736  31-32 months old
  426675 ( 86%)       899  32-33 months old
  427506 ( 86%)       831  33-34 months old
  428439 ( 87%)       933  34-35 months old
  429547 ( 87%)      1108  35-36 months old
  430644 ( 87%)      1097  36-37 months old
  431800 ( 87%)      1156  37-38 months old
  433255 ( 87%)      1455  38-39 months old
  450767 ( 91%)     17512  39-40 months old
  452257 ( 91%)      1490  40-41 months old
  453667 ( 92%)      1410  41-42 months old
  454756 ( 92%)      1089  42-43 months old
  455610 ( 92%)       854  43-44 months old
  456513 ( 92%)       903  44-45 months old
  458019 ( 93%)      1506  45-46 months old
  459322 ( 93%)      1303  46-47 months old
  460599 ( 93%)      1277  47-48 months old
  461945 ( 93%)      1346  48-49 months old
  463329 ( 94%)      1384  49-50 months old
  464401 ( 94%)      1072  50-51 months old
  465226 ( 94%)       825  51-52 months old
  465876 ( 94%)       650  52-53 months old
  466701 ( 94%)       825  53-54 months old
  467553 ( 94%)       852  54-55 months old
  468537 ( 95%)       984  55-56 months old
  469346 ( 95%)       809  56-57 months old
  470111 ( 95%)       765  57-58 months old
  470577 ( 95%)       466  58-59 months old
  471083 ( 95%)       506  59-60 months old
  471619 ( 95%)       536  60-61 months old
  472010 ( 95%)       391  61-62 months old
  472453 ( 95%)       443  62-63 months old
  472862 ( 96%)       409  63-64 months old
  473368 ( 96%)       506  64-65 months old
  473757 ( 96%)       389  65-66 months old
  474177 ( 96%)       420  66-67 months old
  474707 ( 96%)       530  67-68 months old
  475191 ( 96%)       484  68-69 months old
  475773 ( 96%)       582  69-70 months old
  476180 ( 96%)       407  70-71 months old
  476600 ( 96%)       420  71-72 months old
  477069 ( 96%)       469  72-73 months old
  477640 ( 96%)       571  73-74 months old
  478243 ( 97%)       603  74-75 months old
  478742 ( 97%)       499  75-76 months old
  479377 ( 97%)       635  76-77 months old
  480068 ( 97%)       691  77-78 months old
  480670 ( 97%)       602  78-79 months old
  481530 ( 97%)       860  79-80 months old
  482399 ( 97%)       869  80-81 months old
  483267 ( 98%)       868  81-82 months old
  484072 ( 98%)       805  82-83 months old
  484819 ( 98%)       747  83-84 months old
  485830 ( 98%)      1011  84-85 months old
  486534 ( 98%)       704  85-86 months old
  487251 ( 98%)       717  86-87 months old
  487917 ( 99%)       666  87-88 months old
  488829 ( 99%)       912  88-89 months old
  489915 ( 99%)      1086  89-90 months old
  490507 ( 99%)       592  90-91 months old
  491387 ( 99%)       880  91-92 months old
  492046 ( 99%)       659  92-93 months old
  492422 (100%)       376  93-94 months old
++ wc -l masses/ham-full.log
++ sed -e 's/^[ \t]*//'
++ cut '-d ' -f1
+ HAMCOUNT=421455
++ wc -l masses/spam-full.log
++ sed -e 's/^[ \t]*//'
++ cut '-d ' -f1
+ SPAMCOUNT=414401
+ echo ' HAM: 421455 (100000 required)'
 HAM: 421455 (100000 required)
+ echo 'SPAM: 414401 (80000 required)'
SPAM: 414401 (80000 required)
+ [[ 421455 -lt 100000 ]]
+ [[ 414401 -lt 80000 ]]
+ cp masses/config.set1 masses/config
+ . masses/config
++ SCORESET=1
++ HAM_PREFERENCE=10
++ THRESHOLD=5.0
++ EPOCHS=5500
++ NOTE=
+ NAME=set1
+ LOGDIR=gen-set1-10-5.0-5500-ga
+ date
Thu 09 Jun 2022 02:26:42 AM UTC
+ echo '[ running make freqs ]'
[ running make freqs ]
+ cd masses
+ pwd
/usr/local/spamassassin/automc/tmp/generate-new-scores/trunk-new-rules-set1/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=1
perl hit-frequencies -c ../rules -x -p -s 1 > freqs
+ make
+ set +x
Thu 09 Jun 2022 02:29:08 AM UTC
[ starting runGA ]
+ mkdir -p gen-set1-10-5.0-5500-ga gen-set1-10-5.0-5500-ga/NSBASE gen-set1-10-5.0-5500-ga/SPBASE
tee: gen-set1-10-5.0-5500-ga/log: No such file or directory
+ [ -d gen-set1-10-5.0-5500-ga ]
+ rm -rf tmprules
+ cp -r ../rules tmprules
+ cp tmprules/50_scores.cf orig_scores.cf
+ ./enable-all-evolved-rules
+ mv tmprules/50_scores.cf.new tmprules/50_scores.cf
+ [ y = y ]
+ rm tmprules/70_sandbox.cf
+ echo [Doing a scoreset 1 score-generation run]
+ echo[Doing a scoreset 1 score-generation run]
 [Cleaning up]
+ rm -rf spam-test.log ham-test.log spam.log ham.log NSBASE SPBASE tmp freqs perceptron.scores garescorer.scores
[Cleaning up]
+ 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-set1.log
[Generating 90/10 split ham]
Creating gen-cache/ham-split9.log with 9 buckets
Creating gen-cache/ham-split1.log with 1 buckets
Reading from ORIG/ham-set1.log
+ ln -f gen-cache/ham-split9.log gen-set1-10-5.0-5500-ga/NSBASE/ham.log
+ ln -f gen-cache/ham-split1.log gen-set1-10-5.0-5500-ga/NSBASE/ham-test.log
+ echo [Generating 90/10 split spam]
+ perl tenpass/split-log-into-buckets-cached 9:gen-cache/spam-split9.log 1:gen-cache/spam-split1.log ORIG/spam-set1.log
[Generating 90/10 split spam]
Creating gen-cache/spam-split9.log with 9 buckets
Creating gen-cache/spam-split1.log with 1 buckets
Reading from ORIG/spam-set1.log
+ ln -f gen-cache/spam-split9.log gen-set1-10-5.0-5500-ga/SPBASE/spam.log
+ ln -f gen-cache/spam-split1.log gen-set1-10-5.0-5500-ga/SPBASE/spam-test.log
+ echo [Setting up for gen run]
+ ln -s gen-set1-10-5.0-5500-ga/SPBASE/spam.log .
[Setting up for gen run]
+ ln -s gen-set1-10-5.0-5500-ga/NSBASE/ham.log .
+ ln -s gen-set1-10-5.0-5500-ga/SPBASE/spam-test.log .
+ ln -s gen-set1-10-5.0-5500-ga/NSBASE/ham-test.log .
+ uname
+ ostype=Linux
+ [ Linux = FreeBSD ]
+ [ Linux = SunOS ]
+ cpucount
+ egrep -c ^processor\b /proc/cpuinfo
+ numcpus=6
+ [ 6 -le 0 ]
+ echo [Generating GA]
+ make -j 6 SCORESET=1 garescorer
[Generating GA]
+ cp freqs gen-set1-10-5.0-5500-ga/freqs
+ echo [config]
+ cat config
[config]
SCORESET=1
HAM_PREFERENCE=10
THRESHOLD=5.0
EPOCHS=5500
NOTE=
+ echo [gen run start]
+ pwd
+ date
[gen run start]
/usr/local/spamassassin/automc/tmp/generate-new-scores/trunk-new-rules-set1/masses
Thu 09 Jun 2022 02:31:13 AM UTC
+ time ./garescorer -b 10 -e 5500 -t 5.0
Read test results for 79339 messages (668911 total).
Read scores for 804 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: 25.087 iterations/s, iteration no. 50

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335378  50.138%  (99.433% of non-spam corpus)
# Correctly spam:     285434  42.671%  (86.072% of spam corpus)
# False positives:      1911  0.286%  (0.567% of nonspam, 132868 weighted)
# False negatives:     46188  6.905%  (13.928% of spam,  87301 weighted)
# Average score for spam:  19.4    nonspam: -1.0
# Average for false-pos:   7.1  false-neg: 1.9
# TOTAL:              668911  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: 25.540 iterations/s, iteration no. 100

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335488  50.154%  (99.466% of non-spam corpus)
# Correctly spam:     286421  42.819%  (86.370% of spam corpus)
# False positives:      1801  0.269%  (0.534% of nonspam, 125636 weighted)
# False negatives:     45201  6.757%  (13.630% of spam,  85882 weighted)
# Average score for spam:  18.6    nonspam: -0.9
# Average for false-pos:   7.1  false-neg: 1.9
# TOTAL:              668911  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: 25.485 iterations/s, iteration no. 150

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335399  50.141%  (99.440% of non-spam corpus)
# Correctly spam:     287497  42.980%  (86.694% of spam corpus)
# False positives:      1890  0.283%  (0.560% of nonspam, 129639 weighted)
# False negatives:     44125  6.597%  (13.306% of spam,  83211 weighted)
# Average score for spam:  17.9    nonspam: -0.9
# Average for false-pos:   7.0  false-neg: 1.9
# TOTAL:              668911  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: 24.894 iterations/s, iteration no. 200

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335426  50.145%  (99.448% of non-spam corpus)
# Correctly spam:     288056  43.063%  (86.863% of spam corpus)
# False positives:      1863  0.279%  (0.552% of nonspam, 128010 weighted)
# False negatives:     43566  6.513%  (13.137% of spam,  81896 weighted)
# Average score for spam:  18.0    nonspam: -0.9
# Average for false-pos:   7.0  false-neg: 1.9
# TOTAL:              668911  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: 24.300 iterations/s, iteration no. 250

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335423  50.145%  (99.447% of non-spam corpus)
# Correctly spam:     288046  43.062%  (86.860% of spam corpus)
# False positives:      1866  0.279%  (0.553% of nonspam, 127332 weighted)
# False negatives:     43576  6.514%  (13.140% of spam,  82252 weighted)
# Average score for spam:  17.9    nonspam: -0.9
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  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: 23.193 iterations/s, iteration no. 300

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335440  50.147%  (99.452% of non-spam corpus)
# Correctly spam:     288045  43.062%  (86.859% of spam corpus)
# False positives:      1849  0.276%  (0.548% of nonspam, 125368 weighted)
# False negatives:     43577  6.515%  (13.141% of spam,  82223 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  100.00%

Iter #     Field      Value
300        Best       1.701017e+05
           Average    1.702420e+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: 21.812 iterations/s, iteration no. 350

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335426  50.145%  (99.448% of non-spam corpus)
# Correctly spam:     288426  43.119%  (86.974% of spam corpus)
# False positives:      1863  0.279%  (0.552% of nonspam, 126053 weighted)
# False negatives:     43196  6.458%  (13.026% of spam,  80993 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  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: 20.721 iterations/s, iteration no. 400

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335417  50.144%  (99.445% of non-spam corpus)
# Correctly spam:     288538  43.135%  (87.008% of spam corpus)
# False positives:      1872  0.280%  (0.555% of nonspam, 126226 weighted)
# False negatives:     43084  6.441%  (12.992% of spam,  80619 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  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: 19.516 iterations/s, iteration no. 450

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335407  50.142%  (99.442% of non-spam corpus)
# Correctly spam:     288704  43.160%  (87.058% of spam corpus)
# False positives:      1882  0.281%  (0.558% of nonspam, 126699 weighted)
# False negatives:     42918  6.416%  (12.942% of spam,  80078 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.8  false-neg: 1.9
# TOTAL:              668911  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: 18.078 iterations/s, iteration no. 500

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335402  50.142%  (99.441% of non-spam corpus)
# Correctly spam:     288792  43.173%  (87.085% of spam corpus)
# False positives:      1887  0.282%  (0.559% of nonspam, 126830 weighted)
# False negatives:     42830  6.403%  (12.915% of spam,  79805 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.8  false-neg: 1.9
# TOTAL:              668911  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: 16.818 iterations/s, iteration no. 550

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335409  50.143%  (99.443% of non-spam corpus)
# Correctly spam:     288819  43.177%  (87.093% of spam corpus)
# False positives:      1880  0.281%  (0.557% of nonspam, 126367 weighted)
# False negatives:     42803  6.399%  (12.907% of spam,  79706 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.8  false-neg: 1.9
# TOTAL:              668911  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: 24.932 iterations/s, iteration no. 600

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335414  50.143%  (99.444% of non-spam corpus)
# Correctly spam:     288850  43.182%  (87.102% of spam corpus)
# False positives:      1875  0.280%  (0.556% of nonspam, 126065 weighted)
# False negatives:     42772  6.394%  (12.898% of spam,  79617 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.8  false-neg: 1.9
# TOTAL:              668911  100.00%

Iter #     Field      Value
600        Best       1.681315e+05
           Average    1.681603e+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: 24.764 iterations/s, iteration no. 650

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335412  50.143%  (99.444% of non-spam corpus)
# Correctly spam:     288890  43.188%  (87.114% of spam corpus)
# False positives:      1877  0.281%  (0.556% of nonspam, 126119 weighted)
# False negatives:     42732  6.388%  (12.886% of spam,  79437 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.8  false-neg: 1.9
# TOTAL:              668911  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: 24.626 iterations/s, iteration no. 700

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335419  50.144%  (99.446% of non-spam corpus)
# Correctly spam:     288988  43.203%  (87.144% of spam corpus)
# False positives:      1870  0.280%  (0.554% of nonspam, 125709 weighted)
# False negatives:     42634  6.374%  (12.856% of spam,  78953 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.8  false-neg: 1.9
# TOTAL:              668911  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: 24.610 iterations/s, iteration no. 750

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335434  50.146%  (99.450% of non-spam corpus)
# Correctly spam:     289003  43.205%  (87.148% of spam corpus)
# False positives:      1855  0.277%  (0.550% of nonspam, 124928 weighted)
# False negatives:     42619  6.371%  (12.852% of spam,  78878 weighted)
# Average score for spam:  17.5    nonspam: -0.9
# Average for false-pos:   6.8  false-neg: 1.9
# TOTAL:              668911  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: 24.302 iterations/s, iteration no. 800

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335438  50.147%  (99.451% of non-spam corpus)
# Correctly spam:     289020  43.208%  (87.153% of spam corpus)
# False positives:      1851  0.277%  (0.549% of nonspam, 124723 weighted)
# False negatives:     42602  6.369%  (12.847% of spam,  78812 weighted)
# Average score for spam:  17.5    nonspam: -0.9
# Average for false-pos:   6.9  false-neg: 1.8
# TOTAL:              668911  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: 24.295 iterations/s, iteration no. 850

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335437  50.147%  (99.451% of non-spam corpus)
# Correctly spam:     289050  43.212%  (87.162% of spam corpus)
# False positives:      1852  0.277%  (0.549% of nonspam, 124790 weighted)
# False negatives:     42572  6.364%  (12.838% of spam,  78696 weighted)
# Average score for spam:  17.5    nonspam: -0.9
# Average for false-pos:   6.9  false-neg: 1.8
# TOTAL:              668911  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: 24.114 iterations/s, iteration no. 900

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335443  50.148%  (99.453% of non-spam corpus)
# Correctly spam:     289048  43.212%  (87.162% of spam corpus)
# False positives:      1846  0.276%  (0.547% of nonspam, 124484 weighted)
# False negatives:     42574  6.365%  (12.838% of spam,  78703 weighted)
# Average score for spam:  17.5    nonspam: -0.9
# Average for false-pos:   6.9  false-neg: 1.8
# TOTAL:              668911  100.00%

Iter #     Field      Value
900        Best       1.679019e+05
           Average    1.679184e+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: 23.905 iterations/s, iteration no. 950

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335445  50.148%  (99.453% of non-spam corpus)
# Correctly spam:     289041  43.211%  (87.160% of spam corpus)
# False positives:      1844  0.276%  (0.547% of nonspam, 124389 weighted)
# False negatives:     42581  6.366%  (12.840% of spam,  78749 weighted)
# Average score for spam:  17.5    nonspam: -0.9
# Average for false-pos:   6.9  false-neg: 1.8
# TOTAL:              668911  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: 24.189 iterations/s, iteration no. 1000

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335446  50.148%  (99.454% of non-spam corpus)
# Correctly spam:     289043  43.211%  (87.160% of spam corpus)
# False positives:      1843  0.276%  (0.546% of nonspam, 124324 weighted)
# False negatives:     42579  6.365%  (12.840% of spam,  78731 weighted)
# Average score for spam:  17.5    nonspam: -0.9
# Average for false-pos:   6.9  false-neg: 1.8
# TOTAL:              668911  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: 23.471 iterations/s, iteration no. 1050

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335445  50.148%  (99.453% of non-spam corpus)
# Correctly spam:     289044  43.211%  (87.161% of spam corpus)
# False positives:      1844  0.276%  (0.547% of nonspam, 124368 weighted)
# False negatives:     42578  6.365%  (12.839% of spam,  78724 weighted)
# Average score for spam:  17.6    nonspam: -0.9
# Average for false-pos:   6.9  false-neg: 1.8
# TOTAL:              668911  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: 23.609 iterations/s, iteration no. 1100

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335424  50.145%  (99.447% of non-spam corpus)
# Correctly spam:     289043  43.211%  (87.160% of spam corpus)
# False positives:      1865  0.279%  (0.553% of nonspam, 125394 weighted)
# False negatives:     42579  6.365%  (12.840% of spam,  78729 weighted)
# Average score for spam:  17.6    nonspam: -0.9
# Average for false-pos:   6.8  false-neg: 1.8
# TOTAL:              668911  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: 24.287 iterations/s, iteration no. 1150

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335422  50.144%  (99.446% of non-spam corpus)
# Correctly spam:     289024  43.208%  (87.155% of spam corpus)
# False positives:      1867  0.279%  (0.554% of nonspam, 125454 weighted)
# False negatives:     42598  6.368%  (12.845% of spam,  78792 weighted)
# Average score for spam:  17.6    nonspam: -0.9
# Average for false-pos:   6.8  false-neg: 1.8
# TOTAL:              668911  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: 24.383 iterations/s, iteration no. 1200

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335445  50.148%  (99.453% of non-spam corpus)
# Correctly spam:     288671  43.155%  (87.048% of spam corpus)
# False positives:      1844  0.276%  (0.547% of nonspam, 124310 weighted)
# False negatives:     42951  6.421%  (12.952% of spam,  80552 weighted)
# Average score for spam:  17.6    nonspam: -0.9
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  100.00%

Iter #     Field      Value
1200       Best       1.678625e+05
           Average    1.678837e+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: 24.395 iterations/s, iteration no. 1250

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335451  50.149%  (99.455% of non-spam corpus)
# Correctly spam:     288659  43.154%  (87.045% of spam corpus)
# False positives:      1838  0.275%  (0.545% of nonspam, 124024 weighted)
# False negatives:     42963  6.423%  (12.955% of spam,  80624 weighted)
# Average score for spam:  17.6    nonspam: -0.9
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  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: 25.110 iterations/s, iteration no. 1300

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335448  50.148%  (99.454% of non-spam corpus)
# Correctly spam:     288660  43.154%  (87.045% of spam corpus)
# False positives:      1841  0.275%  (0.546% of nonspam, 124161 weighted)
# False negatives:     42962  6.423%  (12.955% of spam,  80610 weighted)
# Average score for spam:  17.6    nonspam: -0.9
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  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: 25.585 iterations/s, iteration no. 1350

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335446  50.148%  (99.454% of non-spam corpus)
# Correctly spam:     288661  43.154%  (87.045% of spam corpus)
# False positives:      1843  0.276%  (0.546% of nonspam, 124261 weighted)
# False negatives:     42961  6.423%  (12.955% of spam,  80607 weighted)
# Average score for spam:  17.6    nonspam: -0.9
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  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: 26.343 iterations/s, iteration no. 1400

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335447  50.148%  (99.454% of non-spam corpus)
# Correctly spam:     288680  43.157%  (87.051% of spam corpus)
# False positives:      1842  0.275%  (0.546% of nonspam, 124214 weighted)
# False negatives:     42942  6.420%  (12.949% of spam,  80515 weighted)
# Average score for spam:  17.6    nonspam: -0.9
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  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: 26.817 iterations/s, iteration no. 1450

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335448  50.148%  (99.454% of non-spam corpus)
# Correctly spam:     288709  43.161%  (87.060% of spam corpus)
# False positives:      1841  0.275%  (0.546% of nonspam, 124169 weighted)
# False negatives:     42913  6.415%  (12.940% of spam,  80374 weighted)
# Average score for spam:  17.6    nonspam: -0.9
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  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: 27.545 iterations/s, iteration no. 1500

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335437  50.147%  (99.451% of non-spam corpus)
# Correctly spam:     288710  43.161%  (87.060% of spam corpus)
# False positives:      1852  0.277%  (0.549% of nonspam, 124713 weighted)
# False negatives:     42912  6.415%  (12.940% of spam,  80373 weighted)
# Average score for spam:  17.5    nonspam: -0.9
# Average for false-pos:   6.8  false-neg: 1.9
# TOTAL:              668911  100.00%

Iter #     Field      Value
1500       Best       1.678559e+05
           Average    1.678677e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 407 2332 0 0 0
Adapt (over, cross, repeat): 187 16 2112
Performance: 9.286 iterations/s, iteration no. 1550

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335437  50.147%  (99.451% of non-spam corpus)
# Correctly spam:     288710  43.161%  (87.060% of spam corpus)
# False positives:      1852  0.277%  (0.549% of nonspam, 124713 weighted)
# False negatives:     42912  6.415%  (12.940% of spam,  80373 weighted)
# Average score for spam:  17.5    nonspam: -0.9
# Average for false-pos:   6.8  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1340 7749 0 0 0
Adapt (over, cross, repeat): 596 57 7005
Performance: 4.624 iterations/s, iteration no. 1600

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335420  50.144%  (99.446% of non-spam corpus)
# Correctly spam:     288661  43.154%  (87.045% of spam corpus)
# False positives:      1869  0.279%  (0.554% of nonspam, 125557 weighted)
# False negatives:     42961  6.423%  (12.955% of spam,  80628 weighted)
# Average score for spam:  17.5    nonspam: -0.9
# Average for false-pos:   6.8  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1428 4687 0 0 0
Adapt (over, cross, repeat): 630 82 3889
Performance: 5.906 iterations/s, iteration no. 1650

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335439  50.147%  (99.452% of non-spam corpus)
# Correctly spam:     288510  43.131%  (87.000% of spam corpus)
# False positives:      1850  0.277%  (0.548% of nonspam, 124600 weighted)
# False negatives:     43112  6.445%  (13.000% of spam,  81337 weighted)
# Average score for spam:  17.5    nonspam: -0.9
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1413 2694 0 0 0
Adapt (over, cross, repeat): 610 110 1891
Performance: 8.040 iterations/s, iteration no. 1700

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335439  50.147%  (99.452% of non-spam corpus)
# Correctly spam:     288608  43.146%  (87.029% of spam corpus)
# False positives:      1850  0.277%  (0.548% of nonspam, 124606 weighted)
# False negatives:     43014  6.430%  (12.971% of spam,  80855 weighted)
# Average score for spam:  17.5    nonspam: -0.9
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1472 5586 0 0 0
Adapt (over, cross, repeat): 645 93 4759
Performance: 5.747 iterations/s, iteration no. 1750

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335439  50.147%  (99.452% of non-spam corpus)
# Correctly spam:     288602  43.145%  (87.027% of spam corpus)
# False positives:      1850  0.277%  (0.548% of nonspam, 124605 weighted)
# False negatives:     43020  6.431%  (12.973% of spam,  80884 weighted)
# Average score for spam:  17.5    nonspam: -0.9
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1387 4539 0 0 0
Adapt (over, cross, repeat): 610 59 3762
Performance: 6.165 iterations/s, iteration no. 1800

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335403  50.142%  (99.441% of non-spam corpus)
# Correctly spam:     288650  43.152%  (87.042% of spam corpus)
# False positives:      1886  0.282%  (0.559% of nonspam, 126392 weighted)
# False negatives:     42972  6.424%  (12.958% of spam,  80683 weighted)
# Average score for spam:  17.5    nonspam: -0.9
# Average for false-pos:   6.8  false-neg: 1.9
# TOTAL:              668911  100.00%

Iter #     Field      Value
1800       Best       1.678529e+05
           Average    1.679142e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1338 5474 0 0 0
Adapt (over, cross, repeat): 581 84 4718
Performance: 5.943 iterations/s, iteration no. 1850

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335439  50.147%  (99.452% of non-spam corpus)
# Correctly spam:     288517  43.132%  (87.002% of spam corpus)
# False positives:      1850  0.277%  (0.548% of nonspam, 124603 weighted)
# False negatives:     43105  6.444%  (12.998% of spam,  81306 weighted)
# Average score for spam:  17.5    nonspam: -0.9
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1379 4178 0 0 0
Adapt (over, cross, repeat): 603 88 3402
Performance: 6.650 iterations/s, iteration no. 1900

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335417  50.144%  (99.445% of non-spam corpus)
# Correctly spam:     288608  43.146%  (87.029% of spam corpus)
# False positives:      1872  0.280%  (0.555% of nonspam, 125700 weighted)
# False negatives:     43014  6.430%  (12.971% of spam,  80891 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.8  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1401 4357 0 0 0
Adapt (over, cross, repeat): 617 77 3573
Performance: 6.421 iterations/s, iteration no. 1950

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335440  50.147%  (99.452% of non-spam corpus)
# Correctly spam:     288503  43.130%  (86.998% of spam corpus)
# False positives:      1849  0.276%  (0.548% of nonspam, 124551 weighted)
# False negatives:     43119  6.446%  (13.002% of spam,  81375 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1461 4027 0 0 0
Adapt (over, cross, repeat): 636 69 3202
Performance: 6.500 iterations/s, iteration no. 2000

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335440  50.147%  (99.452% of non-spam corpus)
# Correctly spam:     288503  43.130%  (86.998% of spam corpus)
# False positives:      1849  0.276%  (0.548% of nonspam, 124551 weighted)
# False negatives:     43119  6.446%  (13.002% of spam,  81375 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1359 4419 0 0 0
Adapt (over, cross, repeat): 576 89 3636
Performance: 6.345 iterations/s, iteration no. 2050

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335440  50.147%  (99.452% of non-spam corpus)
# Correctly spam:     288503  43.130%  (86.998% of spam corpus)
# False positives:      1849  0.276%  (0.548% of nonspam, 124551 weighted)
# False negatives:     43119  6.446%  (13.002% of spam,  81375 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1437 2836 0 0 0
Adapt (over, cross, repeat): 618 97 2017
Performance: 8.714 iterations/s, iteration no. 2100

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335440  50.147%  (99.452% of non-spam corpus)
# Correctly spam:     288503  43.130%  (86.998% of spam corpus)
# False positives:      1849  0.276%  (0.548% of nonspam, 124551 weighted)
# False negatives:     43119  6.446%  (13.002% of spam,  81375 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  100.00%

Iter #     Field      Value
2100       Best       1.678510e+05
           Average    1.678626e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1383 3379 0 0 0
Adapt (over, cross, repeat): 586 82 2583
Performance: 7.078 iterations/s, iteration no. 2150

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335440  50.147%  (99.452% of non-spam corpus)
# Correctly spam:     288503  43.130%  (86.998% of spam corpus)
# False positives:      1849  0.276%  (0.548% of nonspam, 124551 weighted)
# False negatives:     43119  6.446%  (13.002% of spam,  81375 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1294 3270 0 0 0
Adapt (over, cross, repeat): 561 86 2538
Performance: 7.968 iterations/s, iteration no. 2200

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335415  50.143%  (99.444% of non-spam corpus)
# Correctly spam:     288613  43.147%  (87.031% of spam corpus)
# False positives:      1874  0.280%  (0.556% of nonspam, 125798 weighted)
# False negatives:     43009  6.430%  (12.969% of spam,  80867 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.8  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1377 5192 0 0 0
Adapt (over, cross, repeat): 597 68 4412
Performance: 6.015 iterations/s, iteration no. 2250

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335415  50.143%  (99.444% of non-spam corpus)
# Correctly spam:     288613  43.147%  (87.031% of spam corpus)
# False positives:      1874  0.280%  (0.556% of nonspam, 125798 weighted)
# False negatives:     43009  6.430%  (12.969% of spam,  80867 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.8  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1371 4585 0 0 0
Adapt (over, cross, repeat): 580 91 3794
Performance: 6.483 iterations/s, iteration no. 2300

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335441  50.147%  (99.452% of non-spam corpus)
# Correctly spam:     288502  43.130%  (86.997% of spam corpus)
# False positives:      1848  0.276%  (0.548% of nonspam, 124502 weighted)
# False negatives:     43120  6.446%  (13.003% of spam,  81380 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1347 2235 0 0 0
Adapt (over, cross, repeat): 571 72 1460
Performance: 8.491 iterations/s, iteration no. 2350

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335441  50.147%  (99.452% of non-spam corpus)
# Correctly spam:     288502  43.130%  (86.997% of spam corpus)
# False positives:      1848  0.276%  (0.548% of nonspam, 124502 weighted)
# False negatives:     43120  6.446%  (13.003% of spam,  81380 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1314 5479 0 0 0
Adapt (over, cross, repeat): 543 109 4708
Performance: 6.202 iterations/s, iteration no. 2400

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335415  50.143%  (99.444% of non-spam corpus)
# Correctly spam:     288613  43.147%  (87.031% of spam corpus)
# False positives:      1874  0.280%  (0.556% of nonspam, 125798 weighted)
# False negatives:     43009  6.430%  (12.969% of spam,  80866 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.8  false-neg: 1.9
# TOTAL:              668911  100.00%

Iter #     Field      Value
2400       Best       1.678508e+05
           Average    1.678727e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1307 3713 0 0 0
Adapt (over, cross, repeat): 553 61 2959
Performance: 7.611 iterations/s, iteration no. 2450

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335415  50.143%  (99.444% of non-spam corpus)
# Correctly spam:     288619  43.148%  (87.033% of spam corpus)
# False positives:      1874  0.280%  (0.556% of nonspam, 125795 weighted)
# False negatives:     43003  6.429%  (12.967% of spam,  80834 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.8  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1358 2563 0 0 0
Adapt (over, cross, repeat): 583 46 1788
Performance: 8.263 iterations/s, iteration no. 2500

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335415  50.143%  (99.444% of non-spam corpus)
# Correctly spam:     288619  43.148%  (87.033% of spam corpus)
# False positives:      1874  0.280%  (0.556% of nonspam, 125795 weighted)
# False negatives:     43003  6.429%  (12.967% of spam,  80833 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.8  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1276 1977 0 0 0
Adapt (over, cross, repeat): 537 62 1238
Performance: 10.130 iterations/s, iteration no. 2550

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335415  50.143%  (99.444% of non-spam corpus)
# Correctly spam:     288613  43.147%  (87.031% of spam corpus)
# False positives:      1874  0.280%  (0.556% of nonspam, 125795 weighted)
# False negatives:     43009  6.430%  (12.969% of spam,  80863 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.8  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1383 4644 0 0 0
Adapt (over, cross, repeat): 603 59 3864
Performance: 6.778 iterations/s, iteration no. 2600

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335438  50.147%  (99.451% of non-spam corpus)
# Correctly spam:     288482  43.127%  (86.991% of spam corpus)
# False positives:      1851  0.277%  (0.549% of nonspam, 124646 weighted)
# False negatives:     43140  6.449%  (13.009% of spam,  81478 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.8  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1378 3103 0 0 0
Adapt (over, cross, repeat): 576 101 2303
Performance: 7.864 iterations/s, iteration no. 2650

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335438  50.147%  (99.451% of non-spam corpus)
# Correctly spam:     288482  43.127%  (86.991% of spam corpus)
# False positives:      1851  0.277%  (0.549% of nonspam, 124646 weighted)
# False negatives:     43140  6.449%  (13.009% of spam,  81478 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.8  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1424 3699 0 0 0
Adapt (over, cross, repeat): 603 91 2878
Performance: 7.168 iterations/s, iteration no. 2700

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335415  50.143%  (99.444% of non-spam corpus)
# Correctly spam:     288613  43.147%  (87.031% of spam corpus)
# False positives:      1874  0.280%  (0.556% of nonspam, 125795 weighted)
# False negatives:     43009  6.430%  (12.969% of spam,  80864 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.8  false-neg: 1.9
# TOTAL:              668911  100.00%

Iter #     Field      Value
2700       Best       1.678502e+05
           Average    1.678724e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1347 3115 0 0 0
Adapt (over, cross, repeat): 581 74 2349
Performance: 8.193 iterations/s, iteration no. 2750

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335435  50.146%  (99.450% of non-spam corpus)
# Correctly spam:     288617  43.147%  (87.032% of spam corpus)
# False positives:      1854  0.277%  (0.550% of nonspam, 124811 weighted)
# False negatives:     43005  6.429%  (12.968% of spam,  80844 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.8  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1290 3685 0 0 0
Adapt (over, cross, repeat): 536 46 2933
Performance: 7.550 iterations/s, iteration no. 2800

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335435  50.146%  (99.450% of non-spam corpus)
# Correctly spam:     288617  43.147%  (87.032% of spam corpus)
# False positives:      1854  0.277%  (0.550% of nonspam, 124811 weighted)
# False negatives:     43005  6.429%  (12.968% of spam,  80844 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.8  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1326 4006 0 0 0
Adapt (over, cross, repeat): 569 48 3249
Performance: 6.705 iterations/s, iteration no. 2850

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335435  50.146%  (99.450% of non-spam corpus)
# Correctly spam:     288617  43.147%  (87.032% of spam corpus)
# False positives:      1854  0.277%  (0.550% of nonspam, 124811 weighted)
# False negatives:     43005  6.429%  (12.968% of spam,  80844 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.8  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1397 3662 0 0 0
Adapt (over, cross, repeat): 578 77 2844
Performance: 7.257 iterations/s, iteration no. 2900

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335458  50.150%  (99.457% of non-spam corpus)
# Correctly spam:     288482  43.127%  (86.991% of spam corpus)
# False positives:      1831  0.274%  (0.543% of nonspam, 123663 weighted)
# False negatives:     43140  6.449%  (13.009% of spam,  81477 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1411 4892 0 0 0
Adapt (over, cross, repeat): 581 102 4062
Performance: 6.679 iterations/s, iteration no. 2950

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335435  50.146%  (99.450% of non-spam corpus)
# Correctly spam:     288617  43.147%  (87.032% of spam corpus)
# False positives:      1854  0.277%  (0.550% of nonspam, 124811 weighted)
# False negatives:     43005  6.429%  (12.968% of spam,  80844 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.8  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1458 3495 0 0 0
Adapt (over, cross, repeat): 616 78 2654
Performance: 7.286 iterations/s, iteration no. 3000

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335435  50.146%  (99.450% of non-spam corpus)
# Correctly spam:     288617  43.147%  (87.032% of spam corpus)
# False positives:      1854  0.277%  (0.550% of nonspam, 124811 weighted)
# False negatives:     43005  6.429%  (12.968% of spam,  80844 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.8  false-neg: 1.9
# TOTAL:              668911  100.00%

Iter #     Field      Value
3000       Best       1.678499e+05
           Average    1.678626e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1328 3427 0 0 0
Adapt (over, cross, repeat): 544 73 2644
Performance: 8.155 iterations/s, iteration no. 3050

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335435  50.146%  (99.450% of non-spam corpus)
# Correctly spam:     288617  43.147%  (87.032% of spam corpus)
# False positives:      1854  0.277%  (0.550% of nonspam, 124811 weighted)
# False negatives:     43005  6.429%  (12.968% of spam,  80844 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.8  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1243 5298 0 0 0
Adapt (over, cross, repeat): 512 38 4567
Performance: 6.239 iterations/s, iteration no. 3100

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335435  50.146%  (99.450% of non-spam corpus)
# Correctly spam:     288617  43.147%  (87.032% of spam corpus)
# False positives:      1854  0.277%  (0.550% of nonspam, 124811 weighted)
# False negatives:     43005  6.429%  (12.968% of spam,  80844 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.8  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1319 3484 0 0 0
Adapt (over, cross, repeat): 543 73 2709
Performance: 7.905 iterations/s, iteration no. 3150

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335435  50.146%  (99.450% of non-spam corpus)
# Correctly spam:     288601  43.145%  (87.027% of spam corpus)
# False positives:      1854  0.277%  (0.550% of nonspam, 124811 weighted)
# False negatives:     43021  6.431%  (12.973% of spam,  80924 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.8  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1319 6178 0 0 0
Adapt (over, cross, repeat): 551 54 5410
Performance: 5.447 iterations/s, iteration no. 3200

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335435  50.146%  (99.450% of non-spam corpus)
# Correctly spam:     288601  43.145%  (87.027% of spam corpus)
# False positives:      1854  0.277%  (0.550% of nonspam, 124811 weighted)
# False negatives:     43021  6.431%  (12.973% of spam,  80924 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.8  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1258 5472 0 0 0
Adapt (over, cross, repeat): 534 44 4748
Performance: 6.041 iterations/s, iteration no. 3250

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335435  50.146%  (99.450% of non-spam corpus)
# Correctly spam:     288601  43.145%  (87.027% of spam corpus)
# False positives:      1854  0.277%  (0.550% of nonspam, 124811 weighted)
# False negatives:     43021  6.431%  (12.973% of spam,  80923 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.8  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1279 2952 0 0 0
Adapt (over, cross, repeat): 517 56 2190
Performance: 8.349 iterations/s, iteration no. 3300

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335436  50.147%  (99.451% of non-spam corpus)
# Correctly spam:     288601  43.145%  (87.027% of spam corpus)
# False positives:      1853  0.277%  (0.549% of nonspam, 124761 weighted)
# False negatives:     43021  6.431%  (12.973% of spam,  80923 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.8  false-neg: 1.9
# TOTAL:              668911  100.00%

Iter #     Field      Value
3300       Best       1.678496e+05
           Average    1.678668e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1285 5575 0 0 0
Adapt (over, cross, repeat): 539 57 4829
Performance: 6.110 iterations/s, iteration no. 3350

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335436  50.147%  (99.451% of non-spam corpus)
# Correctly spam:     288597  43.144%  (87.026% of spam corpus)
# False positives:      1853  0.277%  (0.549% of nonspam, 124761 weighted)
# False negatives:     43025  6.432%  (12.974% of spam,  80943 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.8  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1284 6199 0 0 0
Adapt (over, cross, repeat): 521 72 5437
Performance: 5.581 iterations/s, iteration no. 3400

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335459  50.150%  (99.457% of non-spam corpus)
# Correctly spam:     288477  43.126%  (86.990% of spam corpus)
# False positives:      1830  0.274%  (0.543% of nonspam, 123613 weighted)
# False negatives:     43145  6.450%  (13.010% of spam,  81503 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1404 5054 0 0 0
Adapt (over, cross, repeat): 556 146 4207
Performance: 6.499 iterations/s, iteration no. 3450

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335459  50.150%  (99.457% of non-spam corpus)
# Correctly spam:     288477  43.126%  (86.990% of spam corpus)
# False positives:      1830  0.274%  (0.543% of nonspam, 123613 weighted)
# False negatives:     43145  6.450%  (13.010% of spam,  81503 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1426 5642 0 0 0
Adapt (over, cross, repeat): 571 164 4787
Performance: 5.534 iterations/s, iteration no. 3500

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335459  50.150%  (99.457% of non-spam corpus)
# Correctly spam:     288477  43.126%  (86.990% of spam corpus)
# False positives:      1830  0.274%  (0.543% of nonspam, 123613 weighted)
# False negatives:     43145  6.450%  (13.010% of spam,  81503 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1283 3884 0 0 0
Adapt (over, cross, repeat): 502 91 3104
Performance: 7.606 iterations/s, iteration no. 3550

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335459  50.150%  (99.457% of non-spam corpus)
# Correctly spam:     288477  43.126%  (86.990% of spam corpus)
# False positives:      1830  0.274%  (0.543% of nonspam, 123613 weighted)
# False negatives:     43145  6.450%  (13.010% of spam,  81503 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1401 3935 0 0 0
Adapt (over, cross, repeat): 561 123 3095
Performance: 6.876 iterations/s, iteration no. 3600

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335459  50.150%  (99.457% of non-spam corpus)
# Correctly spam:     288477  43.126%  (86.990% of spam corpus)
# False positives:      1830  0.274%  (0.543% of nonspam, 123613 weighted)
# False negatives:     43145  6.450%  (13.010% of spam,  81503 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  100.00%

Iter #     Field      Value
3600       Best       1.678487e+05
           Average    1.678743e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1380 4633 0 0 0
Adapt (over, cross, repeat): 557 133 3810
Performance: 6.540 iterations/s, iteration no. 3650

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335459  50.150%  (99.457% of non-spam corpus)
# Correctly spam:     288477  43.126%  (86.990% of spam corpus)
# False positives:      1830  0.274%  (0.543% of nonspam, 123613 weighted)
# False negatives:     43145  6.450%  (13.010% of spam,  81503 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1318 4765 0 0 0
Adapt (over, cross, repeat): 532 82 3979
Performance: 6.213 iterations/s, iteration no. 3700

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335459  50.150%  (99.457% of non-spam corpus)
# Correctly spam:     288477  43.126%  (86.990% of spam corpus)
# False positives:      1830  0.274%  (0.543% of nonspam, 123613 weighted)
# False negatives:     43145  6.450%  (13.010% of spam,  81503 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1371 2993 0 0 0
Adapt (over, cross, repeat): 556 117 2178
Performance: 8.602 iterations/s, iteration no. 3750

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335438  50.147%  (99.451% of non-spam corpus)
# Correctly spam:     288590  43.143%  (87.024% of spam corpus)
# False positives:      1851  0.277%  (0.549% of nonspam, 124663 weighted)
# False negatives:     43032  6.433%  (12.976% of spam,  80979 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.8  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1257 3663 0 0 0
Adapt (over, cross, repeat): 504 63 2910
Performance: 7.047 iterations/s, iteration no. 3800

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335438  50.147%  (99.451% of non-spam corpus)
# Correctly spam:     288590  43.143%  (87.024% of spam corpus)
# False positives:      1851  0.277%  (0.549% of nonspam, 124663 weighted)
# False negatives:     43032  6.433%  (12.976% of spam,  80979 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.8  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1240 6038 0 0 0
Adapt (over, cross, repeat): 507 60 5306
Performance: 5.777 iterations/s, iteration no. 3850

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335438  50.147%  (99.451% of non-spam corpus)
# Correctly spam:     288590  43.143%  (87.024% of spam corpus)
# False positives:      1851  0.277%  (0.549% of nonspam, 124663 weighted)
# False negatives:     43032  6.433%  (12.976% of spam,  80979 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.8  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1197 3613 0 0 0
Adapt (over, cross, repeat): 480 43 2896
Performance: 7.264 iterations/s, iteration no. 3900

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335439  50.147%  (99.452% of non-spam corpus)
# Correctly spam:     288590  43.143%  (87.024% of spam corpus)
# False positives:      1850  0.277%  (0.548% of nonspam, 124612 weighted)
# False negatives:     43032  6.433%  (12.976% of spam,  80977 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  100.00%

Iter #     Field      Value
3900       Best       1.678486e+05
           Average    1.678621e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1317 3136 0 0 0
Adapt (over, cross, repeat): 533 78 2353
Performance: 8.707 iterations/s, iteration no. 3950

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335439  50.147%  (99.452% of non-spam corpus)
# Correctly spam:     288590  43.143%  (87.024% of spam corpus)
# False positives:      1850  0.277%  (0.548% of nonspam, 124612 weighted)
# False negatives:     43032  6.433%  (12.976% of spam,  80977 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1258 3868 0 0 0
Adapt (over, cross, repeat): 487 64 3097
Performance: 6.920 iterations/s, iteration no. 4000

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335439  50.147%  (99.452% of non-spam corpus)
# Correctly spam:     288590  43.143%  (87.024% of spam corpus)
# False positives:      1850  0.277%  (0.548% of nonspam, 124612 weighted)
# False negatives:     43032  6.433%  (12.976% of spam,  80977 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1264 3754 0 0 0
Adapt (over, cross, repeat): 515 62 3005
Performance: 7.519 iterations/s, iteration no. 4050

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335440  50.147%  (99.452% of non-spam corpus)
# Correctly spam:     288582  43.142%  (87.021% of spam corpus)
# False positives:      1849  0.276%  (0.548% of nonspam, 124562 weighted)
# False negatives:     43040  6.434%  (12.979% of spam,  81017 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1273 3260 0 0 0
Adapt (over, cross, repeat): 521 85 2508
Performance: 7.490 iterations/s, iteration no. 4100

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335440  50.147%  (99.452% of non-spam corpus)
# Correctly spam:     288582  43.142%  (87.021% of spam corpus)
# False positives:      1849  0.276%  (0.548% of nonspam, 124562 weighted)
# False negatives:     43040  6.434%  (12.979% of spam,  81017 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1275 3834 0 0 0
Adapt (over, cross, repeat): 508 73 3067
Performance: 6.974 iterations/s, iteration no. 4150

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335440  50.147%  (99.452% of non-spam corpus)
# Correctly spam:     288582  43.142%  (87.021% of spam corpus)
# False positives:      1849  0.276%  (0.548% of nonspam, 124562 weighted)
# False negatives:     43040  6.434%  (12.979% of spam,  81017 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1216 4324 0 0 0
Adapt (over, cross, repeat): 476 38 3585
Performance: 7.110 iterations/s, iteration no. 4200

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335440  50.147%  (99.452% of non-spam corpus)
# Correctly spam:     288582  43.142%  (87.021% of spam corpus)
# False positives:      1849  0.276%  (0.548% of nonspam, 124562 weighted)
# False negatives:     43040  6.434%  (12.979% of spam,  81017 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  100.00%

Iter #     Field      Value
4200       Best       1.678485e+05
           Average    1.678573e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1325 7703 0 0 0
Adapt (over, cross, repeat): 537 68 6915
Performance: 4.900 iterations/s, iteration no. 4250

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335440  50.147%  (99.452% of non-spam corpus)
# Correctly spam:     288582  43.142%  (87.021% of spam corpus)
# False positives:      1849  0.276%  (0.548% of nonspam, 124562 weighted)
# False negatives:     43040  6.434%  (12.979% of spam,  81017 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1377 5897 0 0 0
Adapt (over, cross, repeat): 562 70 5082
Performance: 5.726 iterations/s, iteration no. 4300

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335440  50.147%  (99.452% of non-spam corpus)
# Correctly spam:     288582  43.142%  (87.021% of spam corpus)
# False positives:      1849  0.276%  (0.548% of nonspam, 124562 weighted)
# False negatives:     43040  6.434%  (12.979% of spam,  81017 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1344 3555 0 0 0
Adapt (over, cross, repeat): 532 93 2743
Performance: 7.149 iterations/s, iteration no. 4350

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335440  50.147%  (99.452% of non-spam corpus)
# Correctly spam:     288582  43.142%  (87.021% of spam corpus)
# False positives:      1849  0.276%  (0.548% of nonspam, 124562 weighted)
# False negatives:     43040  6.434%  (12.979% of spam,  81017 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1414 4416 0 0 0
Adapt (over, cross, repeat): 572 107 3574
Performance: 6.949 iterations/s, iteration no. 4400

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335468  50.151%  (99.460% of non-spam corpus)
# Correctly spam:     288460  43.124%  (86.985% of spam corpus)
# False positives:      1821  0.272%  (0.540% of nonspam, 123169 weighted)
# False negatives:     43162  6.453%  (13.015% of spam,  81586 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1433 4293 0 0 0
Adapt (over, cross, repeat): 555 161 3415
Performance: 6.937 iterations/s, iteration no. 4450

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335440  50.147%  (99.452% of non-spam corpus)
# Correctly spam:     288582  43.142%  (87.021% of spam corpus)
# False positives:      1849  0.276%  (0.548% of nonspam, 124562 weighted)
# False negatives:     43040  6.434%  (12.979% of spam,  81017 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1367 5322 0 0 0
Adapt (over, cross, repeat): 550 84 4505
Performance: 6.166 iterations/s, iteration no. 4500

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335440  50.147%  (99.452% of non-spam corpus)
# Correctly spam:     288583  43.142%  (87.022% of spam corpus)
# False positives:      1849  0.276%  (0.548% of nonspam, 124563 weighted)
# False negatives:     43039  6.434%  (12.978% of spam,  81013 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  100.00%

Iter #     Field      Value
4500       Best       1.678484e+05
           Average    1.678612e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1297 3590 0 0 0
Adapt (over, cross, repeat): 506 86 2799
Performance: 7.950 iterations/s, iteration no. 4550

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335440  50.147%  (99.452% of non-spam corpus)
# Correctly spam:     288585  43.143%  (87.022% of spam corpus)
# False positives:      1849  0.276%  (0.548% of nonspam, 124564 weighted)
# False negatives:     43037  6.434%  (12.978% of spam,  81004 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1336 3695 0 0 0
Adapt (over, cross, repeat): 533 84 2892
Performance: 7.559 iterations/s, iteration no. 4600

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335440  50.147%  (99.452% of non-spam corpus)
# Correctly spam:     288589  43.143%  (87.023% of spam corpus)
# False positives:      1849  0.276%  (0.548% of nonspam, 124564 weighted)
# False negatives:     43033  6.433%  (12.977% of spam,  80984 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1293 2682 0 0 0
Adapt (over, cross, repeat): 512 49 1902
Performance: 8.262 iterations/s, iteration no. 4650

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335440  50.147%  (99.452% of non-spam corpus)
# Correctly spam:     288589  43.143%  (87.023% of spam corpus)
# False positives:      1849  0.276%  (0.548% of nonspam, 124564 weighted)
# False negatives:     43033  6.433%  (12.977% of spam,  80984 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1334 2978 0 0 0
Adapt (over, cross, repeat): 522 99 2166
Performance: 8.793 iterations/s, iteration no. 4700

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335440  50.147%  (99.452% of non-spam corpus)
# Correctly spam:     288605  43.146%  (87.028% of spam corpus)
# False positives:      1849  0.276%  (0.548% of nonspam, 124564 weighted)
# False negatives:     43017  6.431%  (12.972% of spam,  80904 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1351 4049 0 0 0
Adapt (over, cross, repeat): 515 83 3213
Performance: 6.878 iterations/s, iteration no. 4750

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335440  50.147%  (99.452% of non-spam corpus)
# Correctly spam:     288605  43.146%  (87.028% of spam corpus)
# False positives:      1849  0.276%  (0.548% of nonspam, 124564 weighted)
# False negatives:     43017  6.431%  (12.972% of spam,  80904 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1274 4386 0 0 0
Adapt (over, cross, repeat): 503 69 3615
Performance: 6.922 iterations/s, iteration no. 4800

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335442  50.147%  (99.452% of non-spam corpus)
# Correctly spam:     288605  43.146%  (87.028% of spam corpus)
# False positives:      1847  0.276%  (0.548% of nonspam, 124465 weighted)
# False negatives:     43017  6.431%  (12.972% of spam,  80904 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  100.00%

Iter #     Field      Value
4800       Best       1.678483e+05
           Average    1.678569e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1321 3604 0 0 0
Adapt (over, cross, repeat): 508 125 2791
Performance: 7.754 iterations/s, iteration no. 4850

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335429  50.146%  (99.449% of non-spam corpus)
# Correctly spam:     288605  43.146%  (87.028% of spam corpus)
# False positives:      1860  0.278%  (0.551% of nonspam, 125106 weighted)
# False negatives:     43017  6.431%  (12.972% of spam,  80907 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.8  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1340 4693 0 0 0
Adapt (over, cross, repeat): 513 131 3866
Performance: 6.459 iterations/s, iteration no. 4900

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335468  50.151%  (99.460% of non-spam corpus)
# Correctly spam:     288461  43.124%  (86.985% of spam corpus)
# False positives:      1821  0.272%  (0.540% of nonspam, 123171 weighted)
# False negatives:     43161  6.452%  (13.015% of spam,  81586 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1308 4558 0 0 0
Adapt (over, cross, repeat): 493 95 3745
Performance: 6.419 iterations/s, iteration no. 4950

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335429  50.146%  (99.449% of non-spam corpus)
# Correctly spam:     288605  43.146%  (87.028% of spam corpus)
# False positives:      1860  0.278%  (0.551% of nonspam, 125106 weighted)
# False negatives:     43017  6.431%  (12.972% of spam,  80908 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.8  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1271 2467 0 0 0
Adapt (over, cross, repeat): 486 49 1682
Performance: 8.427 iterations/s, iteration no. 5000

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335429  50.146%  (99.449% of non-spam corpus)
# Correctly spam:     288605  43.146%  (87.028% of spam corpus)
# False positives:      1860  0.278%  (0.551% of nonspam, 125106 weighted)
# False negatives:     43017  6.431%  (12.972% of spam,  80908 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.8  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1190 4290 0 0 0
Adapt (over, cross, repeat): 467 31 3567
Performance: 7.349 iterations/s, iteration no. 5050

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335427  50.145%  (99.448% of non-spam corpus)
# Correctly spam:     288605  43.146%  (87.028% of spam corpus)
# False positives:      1862  0.278%  (0.552% of nonspam, 125204 weighted)
# False negatives:     43017  6.431%  (12.972% of spam,  80908 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.8  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1312 3885 0 0 0
Adapt (over, cross, repeat): 514 67 3087
Performance: 6.804 iterations/s, iteration no. 5100

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335429  50.146%  (99.449% of non-spam corpus)
# Correctly spam:     288605  43.146%  (87.028% of spam corpus)
# False positives:      1860  0.278%  (0.551% of nonspam, 125106 weighted)
# False negatives:     43017  6.431%  (12.972% of spam,  80908 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.8  false-neg: 1.9
# TOTAL:              668911  100.00%

Iter #     Field      Value
5100       Best       1.678451e+05
           Average    1.678659e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1236 4305 0 0 0
Adapt (over, cross, repeat): 475 67 3545
Performance: 6.957 iterations/s, iteration no. 5150

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335429  50.146%  (99.449% of non-spam corpus)
# Correctly spam:     288605  43.146%  (87.028% of spam corpus)
# False positives:      1860  0.278%  (0.551% of nonspam, 125106 weighted)
# False negatives:     43017  6.431%  (12.972% of spam,  80908 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.8  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1195 3571 0 0 0
Adapt (over, cross, repeat): 455 54 2831
Performance: 7.954 iterations/s, iteration no. 5200

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335429  50.146%  (99.449% of non-spam corpus)
# Correctly spam:     288605  43.146%  (87.028% of spam corpus)
# False positives:      1860  0.278%  (0.551% of nonspam, 125106 weighted)
# False negatives:     43017  6.431%  (12.972% of spam,  80908 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.8  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1185 3856 0 0 0
Adapt (over, cross, repeat): 444 93 3115
Performance: 7.538 iterations/s, iteration no. 5250

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335468  50.151%  (99.460% of non-spam corpus)
# Correctly spam:     288462  43.124%  (86.985% of spam corpus)
# False positives:      1821  0.272%  (0.540% of nonspam, 123172 weighted)
# False negatives:     43160  6.452%  (13.015% of spam,  81582 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1382 2522 0 0 0
Adapt (over, cross, repeat): 529 147 1669
Performance: 8.456 iterations/s, iteration no. 5300

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335468  50.151%  (99.460% of non-spam corpus)
# Correctly spam:     288462  43.124%  (86.985% of spam corpus)
# False positives:      1821  0.272%  (0.540% of nonspam, 123172 weighted)
# False negatives:     43160  6.452%  (13.015% of spam,  81582 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1323 6391 0 0 0
Adapt (over, cross, repeat): 497 118 5565
Performance: 5.731 iterations/s, iteration no. 5350

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335468  50.151%  (99.460% of non-spam corpus)
# Correctly spam:     288462  43.124%  (86.985% of spam corpus)
# False positives:      1821  0.272%  (0.540% of nonspam, 123172 weighted)
# False negatives:     43160  6.452%  (13.015% of spam,  81582 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1300 4192 0 0 0
Adapt (over, cross, repeat): 500 91 3393
Performance: 6.695 iterations/s, iteration no. 5400

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335468  50.151%  (99.460% of non-spam corpus)
# Correctly spam:     288462  43.124%  (86.985% of spam corpus)
# False positives:      1821  0.272%  (0.540% of nonspam, 123172 weighted)
# False negatives:     43160  6.452%  (13.015% of spam,  81582 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  100.00%

Iter #     Field      Value
5400       Best       1.678451e+05
           Average    1.678619e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1269 4081 0 0 0
Adapt (over, cross, repeat): 464 115 3276
Performance: 7.100 iterations/s, iteration no. 5450

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335468  50.151%  (99.460% of non-spam corpus)
# Correctly spam:     288462  43.124%  (86.985% of spam corpus)
# False positives:      1821  0.272%  (0.540% of nonspam, 123172 weighted)
# False negatives:     43160  6.452%  (13.015% of spam,  81582 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1361 3309 0 0 0
Adapt (over, cross, repeat): 517 134 2465
Performance: 8.160 iterations/s, iteration no. 5500

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335468  50.151%  (99.460% of non-spam corpus)
# Correctly spam:     288462  43.124%  (86.985% of spam corpus)
# False positives:      1821  0.272%  (0.540% of nonspam, 123172 weighted)
# False negatives:     43160  6.452%  (13.015% of spam,  81582 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  100.00%

The Best Evaluation: 1.678451e+05.
The Best String:

# SUMMARY for threshold 5.0:
# Correctly non-spam: 335468  50.151%  (99.460% of non-spam corpus)
# Correctly spam:     288462  43.124%  (86.985% of spam corpus)
# False positives:      1821  0.272%  (0.540% of nonspam, 123172 weighted)
# False negatives:     43160  6.452%  (13.015% of spam,  81582 weighted)
# Average score for spam:  17.5    nonspam: -0.8
# Average for false-pos:   6.9  false-neg: 1.9
# TOTAL:              668911  100.00%

score AC_BR_BONANZA                  0.001
score AC_DIV_BONANZA                 0.001
score AC_FROM_MANY_DOTS              2.996
score AC_HTML_NONSENSE_TAGS          1.998
score ADMITS_SPAM                    2.896
score ADVANCE_FEE_2_NEW_FRM_MNY      1.924
score ADVANCE_FEE_2_NEW_MONEY        1.997
score ADVANCE_FEE_3_NEW              3.496
score ADVANCE_FEE_3_NEW_MONEY        2.696
score ADVANCE_FEE_4_NEW              2.298
score ADVANCE_FEE_4_NEW_FRM_MNY      0.001
score ADVANCE_FEE_4_NEW_MONEY        1.983
score ADVANCE_FEE_5_NEW              2.497
score ADVANCE_FEE_5_NEW_FRM_MNY      2.382
score ADVANCE_FEE_5_NEW_MONEY        0.001
score AD_PREFS                       0.001
score ALIBABA_IMG_NOT_RCVD_ALI       2.497
score AMAZON_IMG_NOT_RCVD_AMZN       2.497
score APOSTROPHE_TOCC                0.998
score AXB_XMAILER_MIMEOLE_OL_024C2   0.001
score BIGNUM_EMAILS_FREEM            2.020
score BITCOIN_EXTORT_01              4.269
score BITCOIN_MALWARE                0.001
score BITCOIN_ONAN                   2.996
score BITCOIN_PAY_ME                 2.299
score BITCOIN_SPAM_01                2.497
score BITCOIN_SPAM_02                1.009
score BITCOIN_SPAM_03                2.497
score BITCOIN_SPAM_05                0.001
score BITCOIN_SPAM_09                0.726
score BITCOIN_XPRIO                  0.276
score BITCOIN_YOUR_INFO              2.996
score BODY_EMAIL_419_FRAUD_GM        0.152
score BODY_SINGLE_URI                0.001
score BODY_URI_ONLY                  0.971
score BOGUS_MSM_HDRS                 1.638
score CONTENT_AFTER_HTML             2.497
score CONTENT_AFTER_HTML_WEAK        1.498
score CTE_8BIT_MISMATCH              0.001
score DEAR_BENEFICIARY               0.001
score DKIMWL_WL_HIGH                 -1.146
score DKIMWL_WL_MED                  -0.001
score DKIMWL_WL_MEDHI                -0.317
score DX_TEXT_03                     1.597
score ENCRYPTED_MESSAGE              -0.999
score END_FUTURE_EMAILS              2.497
score FACEBOOK_IMG_NOT_RCVD_FB       1.997
score FILL_THIS_FORM                 0.000
score FONT_INVIS_DIRECT              0.458
score FONT_INVIS_MSGID               0.001
score FONT_INVIS_POSTEXTRAS          2.179
score FORGED_SPF_HELO                0.046
score FORM_FRAUD                     0.998
score FORM_FRAUD_3                   1.563
score FORM_FRAUD_5                   0.001
score FREEMAIL_FORGED_FROMDOMAIN     0.248
score FROM_2_EMAILS_SHORT            2.876
score FROM_ADDR_WS                   2.996
score FROM_FMBLA_NEWDOM              1.498
score FROM_FMBLA_NEWDOM14            0.998
score FROM_FMBLA_NEWDOM28            0.798
score FROM_GOV_DKIM_AU               -0.034
score FROM_GOV_SPOOF                 0.999
score FROM_MISSPACED                 0.001
score FROM_MISSP_DYNIP               2.297
score FROM_MISSP_EH_MATCH            0.071
score FROM_MISSP_FREEMAIL            0.001
score FROM_MISSP_MSFT                0.001
score FROM_MISSP_SPF_FAIL            0.831
score FROM_MISSP_TO_UNDISC           0.001
score FROM_MISSP_USER                0.001
score FROM_MULTI_NORDNS              1.068
score FROM_NTLD_REPLY_FREEMAIL       1.664
score FROM_PAYPAL_SPOOF              0.954
score FROM_SUSPICIOUS_NTLD           0.498
score FROM_SUSPICIOUS_NTLD_FP        1.997
score FSL_BULK_SIG                   0.001
score FSL_CTYPE_WIN1251              0.001
score FSL_NEW_HELO_USER              0.001
score GB_BITCOIN_CP                  2.996
score GB_FAKE_RF_SHORT               1.997
score GB_FREEMAIL_DISPTO             0.498
score GB_HASHBL_BTC                  2.712
score GB_URI_FLEEK_STO_HTM           0.998
score GOOG_MALWARE_DNLD              2.981
score GOOG_REDIR_HTML_ONLY           1.997
score GOOG_REDIR_NORDNS              3.396
score GOOG_STO_EMAIL_PHISH           2.997
score GOOG_STO_IMG_NOHTML            2.498
score GOOG_STO_NOIMG_HTML            2.948
score HAS_X_OUTGOING_SPAM_STAT       0.001
score HDRS_LCASE_IMGONLY             0.099
score HDRS_MISSP                     1.313
score HDR_ORDER_FTSDMCXX_DIRECT      0.000
score HDR_ORDER_FTSDMCXX_NORDNS      0.001
score HEADER_FROM_DIFFERENT_DOMAINS  0.249
score HELO_NO_DOMAIN                 0.001
score HK_LOTTO                       0.998
score HK_NAME_MR_MRS                 0.794
score HK_RANDOM_ENVFROM              0.998
score HK_RANDOM_FROM                 0.998
score HK_RANDOM_REPLYTO              0.998
score HK_SCAM                        0.001
score HOSTED_IMG_DIRECT_MX           3.075
score HOSTED_IMG_FREEM               0.912
score HOSTED_IMG_MULTI_PUB_01        2.996
score HTML_OFF_PAGE                  2.997
score HTML_SINGLET_MANY              1.984
score HTML_TAG_BALANCE_CENTER        2.796
score HTML_TEXT_INVISIBLE_FONT       1.997
score HTML_TEXT_INVISIBLE_STYLE      3.496
score JH_SPAMMY_HEADERS              3.497
score KHOP_HELO_FCRDNS               0.001
score LONGLN_LOW_CONTRAST            2.497
score LONG_HEX_URI                   1.515
score LONG_IMG_URI                   1.743
score LONG_INVISIBLE_TEXT            0.001
score LOTS_OF_MONEY                  0.010
score LOTTO_AGENT                    1.498
score MALWARE_NORDNS                 0.001
score MALW_ATTACH                    2.397
score MILLION_HUNDRED                0.001
score MILLION_USD                    1.997
score MIMEOLE_DIRECT_TO_MX           0.001
score MIXED_ES                       1.898
score MONEY_ATM_CARD                 0.001
score MONEY_FORM                     0.001
score MONEY_FORM_SHORT               0.000
score MONEY_FRAUD_3                  1.505
score MONEY_FRAUD_5                  0.001
score MONEY_FRAUD_8                  0.001
score MONEY_FREEMAIL_REPTO           1.981
score MONEY_FROM_41                  1.997
score MONEY_FROM_MISSP               0.001
score MSGID_HDR_MALF                 3.496
score MSMAIL_PRI_ABNORMAL            0.001
score MSM_PRIO_REPTO                 2.167
score NAME_EMAIL_DIFF                0.001
score NICE_REPLY_A                   -1.065
score NORDNS_LOW_CONTRAST            1.223
score NO_FM_NAME_IP_HOSTN            0.000
score NSL_RCVD_FROM_USER             0.001
score NSL_RCVD_HELO_USER             2.080
score NUMBEREND_LINKBAIT             0.103
score OBFU_TEXT_ATTACH               0.882
score ODD_FREEM_REPTO                2.935
score PDS_BTC_ID                     0.000
score PDS_BTC_MSGID                  0.001
score PDS_DBL_URL_TNB_RUNON          1.193
score PDS_OTHER_BAD_TLD              1.997
score PDS_TINYSUBJ_URISHRT           1.498
score PDS_TONAME_EQ_TOLOCAL_FREEM_FORGE 1.997
score PHP_ORIG_SCRIPT                2.084
score PHP_SCRIPT                     2.497
score PP_MIME_FAKE_ASCII_TEXT        0.001
score RAND_MKTG_HEADER               1.997
score RCVD_IN_MSPIKE_H2              -0.001
score RCVD_IN_MSPIKE_L3              0.001
score RCVD_IN_MSPIKE_L5              1.486
score RCVD_IN_MSPIKE_ZBI             0.001
score RDNS_NUM_TLD_XM                2.499
score REPTO_419_FRAUD_GM             2.996
score REPTO_INFONUMSCOM              2.996
score RISK_FREE                      1.853
score SCC_BODY_URI_ONLY              2.687
score SCC_CANSPAM_2                  2.596
score SCC_ISEMM_LID_1                3.059
score SCC_THREE_WORD_MONTY           3.013
score SCRIPT_GIBBERISH               2.896
score SENDGRID_REDIR                 1.498
score SERGIO_SUBJECT_VIAGRA01        1.842
score SHOPIFY_IMG_NOT_RCVD_SFY       2.148
score SHORTENER_SHORT_IMG            0.001
score SHORT_IMG_SUSP_NTLD            0.193
score SHORT_SHORTNER                 1.997
score SPOOFED_FREEMAIL               1.631
score SPOOFED_FREEMAIL_NO_RDNS       0.001
score SPOOFED_FREEM_REPTO            2.497
score SPOOF_GMAIL_MID                0.001
score STATIC_XPRIO_OLE               1.858
score SUBJ_ATTENTION                 0.499
score THIS_AD                        1.098
score TONOM_EQ_TOLOC_SHRT_SHRTNER    0.973
score TO_EQ_FM_DOM_SPF_FAIL          0.001
score TO_EQ_FM_SPF_FAIL              0.001
score TO_NAME_SUBJ_NO_RDNS           0.001
score TO_NO_BRKTS_FROM_MSSP          2.497
score TO_NO_BRKTS_HTML_IMG           1.997
score TO_NO_BRKTS_HTML_ONLY          1.997
score TO_NO_BRKTS_NORDNS_HTML        1.203
score TO_NO_BRKTS_PCNT               2.497
score TVD_LONG_WORD5                 2.996
score TVD_RCVD_SPACE_BRACKET         2.025
score UNDISC_FREEM                   2.347
score UNDISC_MONEY                   0.702
score UPPERCASE_URI                  2.420
score URI_DOTEDU                     1.998
score URI_FIREBASEAPP                2.996
score URI_GOOGLE_PROXY               2.297
score URI_OBFU_DOM                   2.497
score URI_ONLY_MSGID_MALF            0.609
score URI_PHISH                      2.513
score URI_PHP_REDIR                  3.165
score URI_TRY_3LD                    0.635
score URI_WP_HACKED                  3.496
score URI_WP_HACKED_2                1.963
score WORD_INVIS_MANY                2.996
score XFER_LOTSA_MONEY               0.998
score XM_DIGITS_ONLY                 2.383
score XM_RANDOM                      2.497
score XM_RECPTID                     2.996
score XPRIO                          0.001
score YOUR_DELIVERY_ADDRESS          1.109
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 ALL_TRUSTED                    -1.000
score ANY_BOUNCE_MESSAGE             0.100
score APOSTROPHE_FROM                0.786
score APP_DEVELOPMENT_FREEM          1.000
score APP_DEVELOPMENT_NORDNS         1.000
score BAD_CREDIT                     0.100
score BAD_ENC_HEADER                 0.001
score BANG_GUAR                      1.000
score BANKING_LAWS                   2.004
score BASE64_LENGTH_78_79            0.100
score BASE64_LENGTH_79_INF           2.019
score BEBEE_IMG_NOT_RCVD_BB          1.000
score BIGNUM_EMAILS_MANY             1.000
score BILLION_DOLLARS                1.451
score BITCOIN_BOMB                   1.000
score BITCOIN_DEADLINE               1.000
score BITCOIN_EXTORT_02              1.000
score BITCOIN_IMGUR                  1.000
score BITCOIN_OBFU_SUBJ              1.000
score BITCOIN_SPAM_04                1.000
score BITCOIN_SPAM_06                1.000
score BITCOIN_SPAM_07                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 BITCOIN_SPF_ONLYALL            1.000
score BODY_8BITS                     1.500
score BODY_ENHANCEMENT               1.611
score BODY_ENHANCEMENT2              0.100
score BOGUS_MIME_VERSION             1.000
score BOMB_FREEM                     1.000
score BOMB_MONEY                     1.000
score BOUNCE_MESSAGE                 0.100
score BTC_ORG                        1.000
score BULK_RE_SUSP_NTLD              1.000
score CANT_SEE_AD                    1.000
score CHALLENGE_RESPONSE             0.100
score CHARSET_FARAWAY                3.200
score CHARSET_FARAWAY_HEADER         3.200
score COMMENT_GIBBERISH              1.000
score CRBOUNCE_MESSAGE               0.100
score CTYPE_001C_B                   0.001
score CURR_PRICE                     0.001
score DATE_IN_FUTURE_03_06           2.426
score DATE_IN_FUTURE_06_12           0.001
score DATE_IN_FUTURE_12_24           2.489
score DATE_IN_FUTURE_24_48           1.248
score DATE_IN_FUTURE_48_96           0.813
score DATE_IN_PAST_03_06             1.076
score DATE_IN_PAST_06_12             1.103
score DATE_IN_PAST_12_24             0.804
score DATE_IN_PAST_24_48             0.485
score DATE_IN_PAST_96_XX             2.070
score DAY_I_EARNED                   1.000
score DCC_CHECK                      1.100
score DCC_REPUT_00_12                -0.800
score DCC_REPUT_13_19                -0.100
score DCC_REPUT_70_89                0.100
score DCC_REPUT_90_94                0.400
score DCC_REPUT_95_98                0.700
score DCC_REPUT_99_100               1.200
score DC_GIF_UNO_LARGO               1.323
score DC_IMAGE_SPAM_HTML             0.100
score DC_IMAGE_SPAM_TEXT             0.100
score DC_PNG_UNO_LARGO               0.001
score DEAR_FRIEND                    2.604
score DEAR_SOMETHING                 1.731
score DEAR_WINNER                    3.099
score DIGEST_MULTIPLE                0.001
score DKIMWL_BL                      1.000
score DKIMWL_BLOCKED                 0.001
score DKIM_ADSP_ALL                  1.100
score DKIM_ADSP_CUSTOM_HIGH          0.001
score DKIM_ADSP_CUSTOM_LOW           0.001
score DKIM_ADSP_CUSTOM_MED           0.001
score DKIM_ADSP_DISCARD              1.800
score DKIM_ADSP_NXDOMAIN             0.800
score DKIM_INVALID                   0.100
score DKIM_SIGNED                    0.100
score DKIM_VALID                     -0.100
score DKIM_VALID_AU                  -0.100
score DKIM_VALID_EF                  -0.100
score DMARC_MISSING                  0.001
score DMARC_NONE                     0.898
score DMARC_PASS                     -0.001
score DMARC_QUAR                     1.198
score DMARC_REJECT                   1.797
score DOS_OE_TO_MX                   3.086
score DOS_OE_TO_MX_IMAGE             1.886
score DOS_OUTLOOK_TO_MX              1.449
score DOS_RCVD_IP_TWICE_C            2.060
score DOS_STOCK_BAT                  0.001
score DOTGOV_IMAGE                   1.000
score DRUGS_ANXIETY                  0.100
score DRUGS_DIET                     0.757
score DRUGS_ERECTILE                 2.221
score DRUGS_ERECTILE_OBFU            1.309
score DRUGS_MANYKINDS                1.473
score DRUGS_MUSCLE                   2.499
score DRUGS_SMEAR1                   2.051
score DRUG_ED_CAPS                   1.023
score DRUG_ED_ONLINE                 1.152
score DRUG_ED_SILD                   0.001
score DYNAMIC_IMGUR                  1.000
score DYN_RDNS_AND_INLINE_IMAGE      1.344
score DYN_RDNS_SHORT_HELO_HTML       0.001
score DYN_RDNS_SHORT_HELO_IMAGE      2.516
score EBAY_IMG_NOT_RCVD_EBAY         1.000
score EMPTY_MESSAGE                  2.344
score EM_ROLEX                       1.309
score ENGLISH_UCE_SUBJECT            1.542
score ENVFROM_GOOG_TRIX              1.000
score ENV_AND_HDR_SPF_MATCH          -0.500
score EXCUSE_4                       1.687
score EXCUSE_REMOVE                  2.992
score FAKE_REPLY_C                   0.001
score FBI_MONEY                      1.000
score FBI_SPOOF                      1.000
score FILL_THIS_FORM_LONG            3.476
score FIN_FREE                       0.100
score FONT_INVIS_DOTGOV              1.000
score FONT_INVIS_HTML_NOHTML         1.000
score FONT_INVIS_LONG_LINE           1.000
score FONT_INVIS_NORDNS              1.000
score FORGED_HOTMAIL_RCVD2           1.187
score FORGED_MSGID_EXCITE            1.899
score FORGED_MSGID_YAHOO             0.100
score FORGED_MUA_EUDORA              2.510
score FORGED_MUA_IMS                 2.399
score FORGED_MUA_MOZILLA             1.596
score FORGED_MUA_OIMO                2.599
score FORGED_MUA_OUTLOOK             2.785
score FORGED_MUA_THEBAT_BOUN         3.220
score FORGED_OUTLOOK_HTML            0.001
score FORGED_OUTLOOK_TAGS            0.565
score FORGED_TELESP_RCVD             2.499
score FORGED_YAHOO_RCVD              1.022
score FOUND_YOU                      1.000
score FREEMAIL_ENVFROM_END_DIGIT     0.250
score FREEMAIL_FORGED_REPLYTO        2.503
score FREEMAIL_FROM                  0.001
score FREEMAIL_REPLY                 1.000
score FREEMAIL_REPLYTO               1.000
score FREEMAIL_REPLYTO_END_DIGIT     0.250
score FREEM_FRNUM_UNICD_EMPTY        1.000
score FREE_QUOTE_INSTANT             2.699
score FRNAME_IN_MSG_XPRIO_NO_SUB     1.000
score FROM_BANK_NOAUTH               1.000
score FROM_BLANK_NAME                2.099
score FROM_DOMAIN_NOVOWEL            0.500
score FROM_EXCESS_BASE64             0.001
score FROM_FMBLA_NDBLOCKED           0.001
score FROM_GOV_REPLYTO_FREEMAIL      1.000
score FROM_ILLEGAL_CHARS             2.059
score FROM_LOCAL_DIGITS              0.001
score FROM_LOCAL_HEX                 0.331
score FROM_LOCAL_NOVOWEL             0.500
score FROM_MISSP_PHISH               1.000
score FROM_NEWDOM_BTC                1.000
score FROM_NO_USER                   2.599
score FROM_NTLD_LINKBAIT             1.000
score FROM_NUMBERO_NEWDOMAIN         1.000
score FROM_NUMERIC_TLD               1.000
score FROM_STARTS_WITH_NUMS          0.553
score FSL_FAKE_HOTMAIL_RVCD          1.816
score FSL_HELO_BARE_IP_1             1.426
score FSL_HELO_DEVICE                0.100
score FSL_HELO_NON_FQDN_1            0.001
score FSL_INTERIA_ABUSE              2.664
score FUZZY_CPILL                    0.001
score FUZZY_CREDIT                   1.413
score FUZZY_MILLION                  0.100
score FUZZY_PHARMACY                 3.299
score FUZZY_PHENT                    1.647
score FUZZY_PRICES                   0.720
score FUZZY_VPILL                    0.494
score FUZZY_XPILL                    0.100
score GAPPY_SALES_LEADS_FREEM        1.000
score GAPPY_SUBJECT                  0.100
score GB_FORGED_MUA_POSTFIX          1.000
score 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            1.000
score GOOG_STO_HTML_PHISH_MANY       1.000
score GOOG_STO_IMG_HTML              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         1.918
score HELO_DYNAMIC_DHCP              0.841
score HELO_DYNAMIC_DIALIN            3.233
score HELO_DYNAMIC_HCC               2.514
score HELO_DYNAMIC_HEXIP             0.511
score HELO_DYNAMIC_HOME_NL           1.530
score HELO_DYNAMIC_IPADDR            3.243
score HELO_DYNAMIC_IPADDR2           3.888
score HELO_DYNAMIC_SPLIT_IP          2.893
score HELO_LOCALHOST                 3.603
score HELO_OEM                       2.899
score HELO_STATIC_HOST               -0.001
score HEXHASH_WORD                   1.000
score HIDE_WIN_STATUS                0.001
score HK_CTE_RAW                     1.000
score HK_NAME_DRUGS                  0.001
score HK_RCVD_IP_MULTICAST           1.000
score HK_WIN                         1.000
score HOSTED_IMG_DQ_UNSUB            1.000
score HOSTED_IMG_MULTI               1.000
score HTML_CHARSET_FARAWAY           0.500
score HTML_COMMENT_SAVED_URL         0.357
score HTML_EMBEDS                    0.001
score HTML_ENTITY_ASCII              1.000
score HTML_ENTITY_ASCII_TINY         1.000
score HTML_EXTRA_CLOSE               0.001
score HTML_FONT_FACE_BAD             0.001
score HTML_FONT_LOW_CONTRAST         0.001
score HTML_FONT_SIZE_HUGE            0.001
score HTML_FONT_SIZE_LARGE           0.001
score HTML_IMAGE_ONLY_04             0.342
score HTML_IMAGE_ONLY_08             1.781
score HTML_IMAGE_ONLY_12             1.629
score HTML_IMAGE_ONLY_16             1.048
score HTML_IMAGE_ONLY_20             0.700
score HTML_IMAGE_ONLY_24             1.282
score HTML_IMAGE_ONLY_28             0.726
score HTML_IMAGE_ONLY_32             0.001
score HTML_IMAGE_RATIO_02            0.001
score HTML_IMAGE_RATIO_04            0.001
score HTML_IMAGE_RATIO_06            0.001
score HTML_IMAGE_RATIO_08            0.001
score HTML_MESSAGE                   0.001
score HTML_MIME_NO_HTML_TAG          0.635
score HTML_NONELEMENT_30_40          0.001
score HTML_OBFUSCATE_05_10           0.001
score HTML_OBFUSCATE_10_20           1.162
score HTML_OBFUSCATE_20_30           2.441
score HTML_OBFUSCATE_90_100          2.000
score HTML_SHORT_CENTER              3.421
score HTML_SHORT_LINK_IMG_1          0.139
score HTML_SHORT_LINK_IMG_2          0.259
score HTML_SHORT_LINK_IMG_3          0.328
score HTML_SHRT_CMNT_OBFU_MANY       1.000
score HTML_TAG_BALANCE_BODY          0.100
score HTML_TITLE_SUBJ_DIFF           2.171
score HTTPS_HTTP_MISMATCH            0.100
score HTTP_ESCAPED_HOST              0.100
score HTTP_EXCESSIVE_ESCAPES         0.001
score IMG_ONLY_FM_DOM_INFO           1.000
score IMPOTENCE                      2.144
score INVALID_DATE                   0.432
score INVALID_DATE_TZ_ABSURD         0.632
score INVALID_MSGID                  1.167
score INVESTMENT_ADVICE              0.100
score IP_LINK_PLUS                   0.001
score JH_SPAMMY_PATTERN01            1.000
score JH_SPAMMY_PATTERN02            1.000
score JOIN_MILLIONS                  0.100
score KB_DATE_CONTAINS_TAB           3.799
score KB_FAKED_THE_BAT               3.441
score KB_RATWARE_MSGID               2.987
score KB_RATWARE_OUTLOOK_MID         4.400
score LINKEDIN_IMG_NOT_RCVD_LNKN     1.000
score LIST_PRTL_PUMPDUMP             1.000
score LIST_PRTL_SAME_USER            1.000
score LIVEFILESTORE                  0.100
score LOCALPART_IN_SUBJECT           0.730
score LONGWORDS                      1.844
score LONG_TERM_PRICE                0.001
score LOTTERY_1                      1.488
score LOTTERY_PH_004470              0.100
score LOW_PRICE                      0.100
score LUCRATIVE                      1.000
score L_SPAM_TOOL_13                 0.485
score MALE_ENHANCE                   3.099
score MALF_HTML_B64                  1.000
score MALWARE_PASSWORD               1.000
score MANY_HDRS_LCASE                0.100
score MARKETING_PARTNERS             0.235
score MICROSOFT_EXECUTABLE           0.100
score MIMEPART_LIMIT_EXCEEDED        0.001
score MIME_BASE64_TEXT               0.001
score MIME_BOUND_DD_DIGITS           0.349
score MIME_BOUND_DIGITS_15           0.100
score MIME_CHARSET_FARAWAY           2.450
score MIME_HEADER_CTYPE_ONLY         0.100
score MIME_HTML_MOSTLY               0.100
score MIME_HTML_ONLY                 0.100
score MIME_HTML_ONLY_MULTI           0.001
score MIME_NO_TEXT                   1.000
score MIME_PHP_NO_TEXT               2.799
score MIME_QP_LONG_LINE              0.001
score MIME_SUSPECT_NAME              0.100
score MISSING_DATE                   1.396
score MISSING_HEADERS                1.207
score MISSING_MID                    0.140
score MISSING_MIMEOLE                1.843
score MISSING_MIME_HB_SEP            0.001
score MISSING_SUBJECT                1.767
score MIXED_AREA_CASE                1.000
score MIXED_CENTER_CASE              1.000
score MIXED_FONT_CASE                1.000
score MIXED_HREF_CASE                1.000
score MIXED_IMG_CASE                 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 MONEY_BACK                     2.486
score MORE_SEX                       2.765
score MPART_ALT_DIFF                 0.724
score MPART_ALT_DIFF_COUNT           1.483
score MSGID_DOLLARS_URI_IMG          1.000
score MSGID_FROM_MTA_HEADER          0.001
score MSGID_OUTLOOK_INVALID          3.899
score MSGID_RANDY                    2.599
score MSGID_SHORT                    0.337
score MSGID_SPAM_CAPS                1.997
score MSGID_YAHOO_CAPS               1.413
score MSOE_MID_WRONG_CASE            3.373
score NEWEGG_IMG_NOT_RCVD_NEGG       1.000
score NEW_PRODUCTS                   1.000
score NML_ADSP_CUSTOM_HIGH           2.600
score NML_ADSP_CUSTOM_LOW            0.700
score NML_ADSP_CUSTOM_MED            1.200
score NORMAL_HTTP_TO_IP              0.001
score NO_DNS_FOR_FROM                0.379
score NO_HEADERS_MESSAGE             0.001
score NO_MEDICAL                     1.254
score NO_PRESCRIPTION                1.102
score NO_RDNS_DOTCOM_HELO            0.433
score NO_RECEIVED                    -0.001
score NO_RELAYS                      -0.001
score NULL_IN_BODY                   0.498
score NUMERIC_HTTP_ADDR              0.001
score OBFU_BITCOIN                   1.000
score ONE_TIME                       1.175
score ONLINE_PHARMACY                2.371
score OOOBOUNCE_MESSAGE              0.100
score PART_CID_STOCK                 0.001
score PART_CID_STOCK_LESS            0.036
score PDS_HELO_SPF_FAIL              1.000
score PERCENT_RANDOM                 2.837
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          0.851
score PUMPDUMP                       1.000
score PUMPDUMP_MULTI                 1.000
score PYZOR_CHECK                    1.985
score RAND_HEADER_LIST_SPOOF         1.000
score RAND_HEADER_MANY               1.000
score RATWARE_EFROM                  0.100
score RATWARE_EGROUPS                1.258
score RATWARE_MPOP_WEBMAIL           1.338
score RATWARE_NAME_ID                0.309
score RATWARE_ZERO_TZ                2.535
score RAZOR2_CF_RANGE_51_100         2.430
score RAZOR2_CHECK                   1.729
score RCVD_DOTEDU_SHORT              1.000
score RCVD_DOTEDU_SUSP_URI           1.000
score RCVD_DOUBLE_IP_LOOSE           0.960
score RCVD_DOUBLE_IP_SPAM            2.777
score RCVD_FAKE_HELO_DOTCOM          2.389
score RCVD_HELO_IP_MISMATCH          1.186
score RCVD_ILLEGAL_IP                1.300
score RCVD_IN_BL_SPAMCOP_NET         1.246
score RCVD_IN_DNSWL_BLOCKED          0.001
score RCVD_IN_DNSWL_HI               -5.000
score RCVD_IN_DNSWL_LOW              -0.700
score RCVD_IN_DNSWL_MED              -2.300
score RCVD_IN_DNSWL_NONE             -0.000
score RCVD_IN_IADB_DK                -0.223
score RCVD_IN_IADB_DOPTIN            -4.000
score RCVD_IN_IADB_DOPTIN_LT50       -0.001
score RCVD_IN_IADB_LISTED            -0.380
score RCVD_IN_IADB_MI_CPR_MAT        -0.332
score RCVD_IN_IADB_ML_DOPTIN         -6.000
score RCVD_IN_IADB_OPTIN             -2.057
score RCVD_IN_IADB_OPTIN_GT50        -1.208
score RCVD_IN_IADB_RDNS              -0.167
score RCVD_IN_IADB_SENDERID          -0.001
score RCVD_IN_IADB_SPF               -0.001
score RCVD_IN_IADB_UT_CPR_MAT        -0.095
score RCVD_IN_IADB_VOUCHED           -2.200
score RCVD_IN_MSPIKE_BL              0.010
score RCVD_IN_MSPIKE_H3              -0.010
score RCVD_IN_MSPIKE_H4              -0.010
score RCVD_IN_MSPIKE_H5              -1.000
score RCVD_IN_MSPIKE_WL              -0.010
score RCVD_IN_PBL                    3.558
score RCVD_IN_PSBL                   2.700
score RCVD_IN_SBL                    2.596
score RCVD_IN_SBL_CSS                3.558
score RCVD_IN_SORBS_DUL              0.001
score RCVD_IN_SORBS_HTTP             2.499
score RCVD_IN_SORBS_SOCKS            2.443
score RCVD_IN_SORBS_WEB              1.500
score RCVD_IN_VALIDITY_CERTIFIED     -3.000
score RCVD_IN_VALIDITY_RPBL          1.284
score RCVD_IN_VALIDITY_SAFE          -2.000
score RCVD_IN_XBL                    0.724
score RCVD_IN_ZEN_BLOCKED            0.001
score RCVD_IN_ZEN_BLOCKED_OPENDNS    0.001
score RDNS_DYNAMIC                   0.363
score RDNS_LOCALHOST                 0.969
score RDNS_NONE                      1.274
score RDNS_NUM_TLD_ATCHNX            1.000
score REMOVE_BEFORE_LINK             0.100
score REPLICA_WATCH                  3.164
score REPLYTO_WITHOUT_TO_CC          1.946
score REPTO_419_FRAUD                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_GM_LOOSE       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              0.490
score SB_GIF_AND_NO_URIS             2.199
score SENDGRID_REDIR_PHISH           1.000
score SEO_SUSP_NTLD                  1.000
score SHORT_HELO_AND_INLINE_IMAGE    0.100
score SHORT_TERM_PRICE               0.001
score SORTED_RECIPS                  2.474
score SPAMMY_XMAILER                 0.862
score SPF_FAIL                       0.919
score SPF_HELO_FAIL                  0.001
score SPF_HELO_NEUTRAL               0.001
score SPF_HELO_NONE                  0.001
score SPF_HELO_PASS                  -0.001
score SPF_HELO_SOFTFAIL              0.896
score SPF_NEUTRAL                    0.652
score SPF_NONE                       0.001
score SPF_PASS                       -0.001
score SPF_SOFTFAIL                   0.972
score SPOOFED_FREEM_REPTO_CHN        1.000
score SPOOFED_FREEM_REPTO_RUS        1.000
score SPOOF_COM2COM                  0.001
score SPOOF_COM2OTH                  0.001
score STOCK_IMG_CTYPE                0.005
score STOCK_IMG_HDR_FROM             0.001
score STOCK_IMG_HTML                 0.028
score STOCK_IMG_OUTLOOK              0.702
score STOCK_TIP                      1.000
score STOX_REPLY_TYPE                0.212
score STOX_REPLY_TYPE_WITHOUT_QUOTES 1.860
score SUBJECT_DIET                   1.563
score SUBJECT_DRUG_GAP_C             0.989
score SUBJECT_DRUG_GAP_L             2.304
score SUBJECT_FUZZY_CHEAP            1.831
score SUBJECT_NEEDS_ENCODING         0.100
score SUBJ_ALL_CAPS                  0.500
score SUBJ_AS_SEEN                   3.099
score SUBJ_BRKN_WORDNUMS             1.000
score SUBJ_BUY                       1.498
score SUBJ_DOLLARS                   0.100
score SUBJ_ILLEGAL_CHARS             1.105
score SUBJ_YOUR_FAMILY               2.999
score SUSPICIOUS_RECIPS              2.497
score 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                   1.843
score THIS_IS_ADV_SUSP_NTLD          1.000
score TONLINE_FAKE_DKIM              1.000
score TO_EQ_FM_DIRECT_MX             1.000
score TO_IN_SUBJ                     0.100
score TO_MALFORMED                   0.100
score TRACKER_ID                     0.100
score TT_MSGID_TRUNC                 0.023
score TVD_FINGER_02                  0.001
score TVD_FW_GRAPHIC_NAME_LONG       0.648
score TVD_FW_GRAPHIC_NAME_MID        0.001
score TVD_INCREASE_SIZE              0.601
score TVD_PH_BODY_ACCOUNTS_PRE       0.001
score TVD_PH_REC                     0.100
score TVD_PH_SEC                     0.100
score TVD_QUAL_MEDS                  2.397
score TVD_RCVD_IP                    0.001
score TVD_RCVD_IP4                   0.001
score TVD_SPACE_RATIO                0.001
score TVD_SUBJ_ACC_NUM               0.100
score TVD_SUBJ_WIPE_DEBT             2.291
score TVD_VISIT_PHARMA               1.196
score TW_GIBBERISH_MANY              1.000
score UC_GIBBERISH_OBFU              1.000
score UNCLAIMED_MONEY                2.699
score UNCLOSED_BRACKET               1.329
score UNICODE_OBFU_ASC               1.000
score UNICODE_OBFU_ZW                1.000
score UNPARSEABLE_RELAY              0.001
score UNRESOLVED_TEMPLATE            0.716
score UNSUB_GOOG_FORM                1.000
score UNWANTED_LANGUAGE_BODY         2.800
score UPPERCASE_50_75                0.791
score UPPERCASE_75_100               1.189
score URG_BIZ                        0.941
score URIBL_ABUSE_SURBL              1.948
score URIBL_BLACK                    1.700
score URIBL_BLOCKED                  0.001
score URIBL_CR_SURBL                 1.263
score URIBL_CSS                      0.100
score URIBL_CSS_A                    0.100
score URIBL_DBL_ABUSE_BOTCC          2.500
score URIBL_DBL_ABUSE_MALW           2.500
score URIBL_DBL_ABUSE_PHISH          2.500
score URIBL_DBL_ABUSE_REDIR          0.001
score URIBL_DBL_ABUSE_SPAM           2.000
score URIBL_DBL_BLOCKED              0.001
score URIBL_DBL_BLOCKED_OPENDNS      0.001
score URIBL_DBL_BOTNETCC             2.500
score URIBL_DBL_ERROR                0.001
score URIBL_DBL_MALWARE              2.500
score URIBL_DBL_PHISH                2.500
score URIBL_DBL_SPAM                 2.500
score URIBL_GREY                     1.084
score URIBL_MW_SURBL                 1.263
score URIBL_PH_SURBL                 0.001
score URIBL_RED                      0.001
score URIBL_RHS_DOB                  0.276
score URIBL_SBL                      0.644
score URIBL_SBL_A                    0.100
score URIBL_WS_SURBL                 1.659
score URIBL_ZEN_BLOCKED              0.001
score URIBL_ZEN_BLOCKED_OPENDNS      0.001
score URI_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_GOOG_STO_SPAMMY            3.000
score URI_HEX                        0.100
score URI_HEX_IP                     1.000
score URI_IMG_WP_REDIR               1.000
score URI_LONG_REPEAT                1.000
score URI_NOVOWEL                    0.500
score URI_OPTOUT_3LD                 1.000
score URI_TRUNCATED                  0.001
score URI_TRY_USME                   1.000
score URI_WP_DIRINDEX                1.000
score USB_DRIVES                     1.000
score USER_IN_ALL_SPAM_TO            -100.000
score USER_IN_DEF_DKIM_WL            -7.500
score USER_IN_DEF_SPF_WL             -7.500
score USER_IN_DKIM_WELCOMELIST       -0.010
score USER_IN_DKIM_WHITELIST         -100.000
score USER_IN_MORE_SPAM_TO           -20.000
score USER_IN_SPF_WELCOMELIST        -0.010
score USER_IN_SPF_WHITELIST          -100.000
score VBOUNCE_MESSAGE                0.100
score VFY_ACCT_NORDNS                1.000
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 XPRIO_SHORT_SUBJ               1.000
score X_IP                           0.001
score X_MAILER_CME_6543_MSN          2.004


611.81user 0.09system 10:11.96elapsed 99%CPU (0avgtext+0avgdata 9996maxresident)k
0inputs+7920outputs (0major+1984minor)pagefaults 0swaps
+ date
Thu 09 Jun 2022 02:41:25 AM UTC
+ mv garescorer.scores gen-set1-10-5.0-5500-ga/scores
+ echo [gen run end]
+ cp orig_scores.cf tmprules/50_scores.cf
[gen run end]
+ perl ./rewrite-cf-with-new-scores --scoreset 1 --old-scores tmprules/50_scores.cf --new-scores gen-set1-10-5.0-5500-ga/scores --cffile tmprules
fix meta dep: FUZZY_BTC_WALLET depends on FUZZY_BITCOIN with 0 score, fixing at non-0
fix meta dep: FUZZY_BTC_WALLET depends on FUZZY_WALLET 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: __FORM_FRAUD_5 depends on EMRCP with 0 score, fixing at non-0
fix meta dep: FORGED_MUA_EUDORA depends on MAILING_LIST_MULTI with 0 score, fixing at non-0
fix meta dep: __AC_FROM_MANY_DOTS_MINFP 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_BLACKLIST depends on USER_IN_BLOCKLIST 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: USER_IN_WHITELIST depends on USER_IN_WELCOMELIST with 0 score, fixing at non-0
fix meta dep: SUBJECT_IN_WHITELIST depends on SUBJECT_IN_WELCOMELIST 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: USER_IN_DEF_WHITELIST depends on USER_IN_DEF_WELCOMELIST with 0 score, fixing at non-0
fix meta dep: SUBJECT_IN_BLACKLIST depends on SUBJECT_IN_BLOCKLIST with 0 score, fixing at non-0
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
AC_BR_BONANZA does not have a default score
AC_DIV_BONANZA does not have a default score
AC_FROM_MANY_DOTS does not have a default score
AC_HTML_NONSENSE_TAGS does not have a default score
AC_POST_EXTRAS does not have a default score
AC_SPAMMY_URI_PATTERNS1 does not have a default score
AC_SPAMMY_URI_PATTERNS10 does not have a default score
AC_SPAMMY_URI_PATTERNS11 does not have a default score
AC_SPAMMY_URI_PATTERNS12 does not have a default score
AC_SPAMMY_URI_PATTERNS2 does not have a default score
AC_SPAMMY_URI_PATTERNS3 does not have a default score
AC_SPAMMY_URI_PATTERNS4 does not have a default score
AC_SPAMMY_URI_PATTERNS8 does not have a default score
AC_SPAMMY_URI_PATTERNS9 does not have a default score
ADMAIL does not have a default score
ADMITS_SPAM does not have a default score
ADULT_DATING_COMPANY does not have a default score
ADVANCE_FEE_2_NEW_FORM does not have a default score
ADVANCE_FEE_2_NEW_FRM_MNY does not have a default score
ADVANCE_FEE_2_NEW_MONEY does not have a default score
ADVANCE_FEE_3_NEW does not have a default score
ADVANCE_FEE_3_NEW_FORM does not have a default score
ADVANCE_FEE_3_NEW_FRM_MNY does not have a default score
ADVANCE_FEE_3_NEW_MONEY does not have a default score
ADVANCE_FEE_4_NEW does not have a default score
ADVANCE_FEE_4_NEW_FORM does not have a default score
ADVANCE_FEE_4_NEW_FRM_MNY does not have a default score
ADVANCE_FEE_4_NEW_MONEY does not have a default score
ADVANCE_FEE_5_NEW does not have a default score
ADVANCE_FEE_5_NEW_FORM does not have a default score
ADVANCE_FEE_5_NEW_FRM_MNY does not have a default score
ADVANCE_FEE_5_NEW_MONEY does not have a default score
AD_PREFS does not have a default score
ALIBABA_IMG_NOT_RCVD_ALI does not have a default score
AMAZON_IMG_NOT_RCVD_AMZN does not have a default score
APOSTROPHE_TOCC does not have a default score
APP_DEVELOPMENT_FREEM does not have a default score
APP_DEVELOPMENT_NORDNS does not have a default score
AXB_XMAILER_MIMEOLE_OL_024C2 does not have a default score
AXB_XMAILER_MIMEOLE_OL_1ECD5 does not have a default score
BEBEE_IMG_NOT_RCVD_BB does not have a default score
BIGNUM_EMAILS_FREEM does not have a default score
BIGNUM_EMAILS_MANY does not have a default score
BITCOIN_BOMB does not have a default score
BITCOIN_DEADLINE does not have a default score
BITCOIN_EXTORT_01 does not have a default score
BITCOIN_EXTORT_02 does not have a default score
BITCOIN_IMGUR does not have a default score
BITCOIN_MALWARE does not have a default score
BITCOIN_OBFU_SUBJ does not have a default score
BITCOIN_ONAN does not have a default score
BITCOIN_PAY_ME does not have a default score
BITCOIN_SPAM_01 does not have a default score
BITCOIN_SPAM_02 does not have a default score
BITCOIN_SPAM_03 does not have a default score
BITCOIN_SPAM_04 does not have a default score
BITCOIN_SPAM_05 does not have a default score
BITCOIN_SPAM_06 does not have a default score
BITCOIN_SPAM_07 does not have a default score
BITCOIN_SPAM_08 does not have a default score
BITCOIN_SPAM_09 does not have a default score
BITCOIN_SPAM_10 does not have a default score
BITCOIN_SPAM_11 does not have a default score
BITCOIN_SPAM_12 does not have a default score
BITCOIN_SPF_ONLYALL does not have a default score
BITCOIN_WFH_01 does not have a default score
BITCOIN_XPRIO does not have a default score
BITCOIN_YOUR_INFO does not have a default score
BODY_EMAIL_419_FRAUD_GM does not have a default score
BODY_SINGLE_URI does not have a default score
BODY_URI_ONLY does not have a default score
BOGUS_MIME_VERSION does not have a default score
BOGUS_MSM_HDRS does not have a default score
BOMB_FREEM does not have a default score
BOMB_MONEY does not have a default score
BTC_ORG does not have a default score
BULK_RE_SUSP_NTLD does not have a default score
CANT_SEE_AD does not have a default score
CN_B2B_SPAMMER does not have a default score
COMMENT_GIBBERISH does not have a default score
COMPENSATION does not have a default score
CONTENT_AFTER_HTML does not have a default score
CONTENT_AFTER_HTML_WEAK does not have a default score
CTE_8BIT_MISMATCH does not have a default score
CTYPE_NULL does not have a default score
DAY_I_EARNED does not have a default score
DEAR_BENEFICIARY does not have a default score
DKIMWL_BL does not have a default score
DKIMWL_BLOCKED does not have a default score
DKIMWL_WL_HIGH does not have a default score
DKIMWL_WL_MED does not have a default score
DKIMWL_WL_MEDHI does not have a default score
DOS_DEREK_AUG08 does not have a default score
DOTGOV_IMAGE does not have a default score
DX_TEXT_02 does not have a default score
DX_TEXT_03 does not have a default score
DYNAMIC_IMGUR does not have a default score
EBAY_IMG_NOT_RCVD_EBAY does not have a default score
EMRCP does not have a default score
ENCRYPTED_MESSAGE does not have a default score
END_FUTURE_EMAILS does not have a default score
ENVFROM_GOOG_TRIX does not have a default score
EXCUSE_24 does not have a default score
FACEBOOK_IMG_NOT_RCVD_FB does not have a default score
FBI_MONEY does not have a default score
FBI_SPOOF does not have a default score
FILL_THIS_FORM does not have a default score
FONT_INVIS_DIRECT does not have a default score
FONT_INVIS_DOTGOV does not have a default score
FONT_INVIS_HTML_NOHTML does not have a default score
FONT_INVIS_LONG_LINE does not have a default score
FONT_INVIS_MSGID does not have a default score
FONT_INVIS_NORDNS does not have a default score
FONT_INVIS_POSTEXTRAS does not have a default score
FORGED_GMAIL_RCVD does not have a default score
FORGED_SPF_HELO does not have a default score
FORM_FRAUD does not have a default score
FORM_FRAUD_3 does not have a default score
FORM_FRAUD_5 does not have a default score
FOUND_YOU does not have a default score
FREEMAIL_FORGED_FROMDOMAIN does not have a default score
FREEMAIL_WFH_01 does not have a default score
FREEM_FRNUM_UNICD_EMPTY does not have a default score
FRNAME_IN_MSG_XPRIO_NO_SUB does not have a default score
FROM_2_EMAILS_SHORT does not have a default score
FROM_ADDR_WS does not have a default score
FROM_BANK_NOAUTH does not have a default score
FROM_FMBLA_NDBLOCKED does not have a default score
FROM_FMBLA_NEWDOM does not have a default score
FROM_FMBLA_NEWDOM14 does not have a default score
FROM_FMBLA_NEWDOM28 does not have a default score
FROM_GOV_DKIM_AU does not have a default score
FROM_GOV_REPLYTO_FREEMAIL does not have a default score
FROM_GOV_SPOOF does not have a default score
FROM_IN_TO_AND_SUBJ does not have a default score
FROM_MISSPACED does not have a default score
FROM_MISSP_DYNIP does not have a default score
FROM_MISSP_EH_MATCH does not have a default score
FROM_MISSP_FREEMAIL does not have a default score
FROM_MISSP_MSFT does not have a default score
FROM_MISSP_PHISH does not have a default score
FROM_MISSP_REPLYTO does not have a default score
FROM_MISSP_SPF_FAIL does not have a default score
FROM_MISSP_TO_UNDISC does not have a default score
FROM_MISSP_USER does not have a default score
FROM_MULTI_NORDNS does not have a default score
FROM_NEWDOM_BTC does not have a default score
FROM_NTLD_LINKBAIT does not have a default score
FROM_NTLD_REPLY_FREEMAIL does not have a default score
FROM_NUMBERO_NEWDOMAIN does not have a default score
FROM_NUMERIC_TLD does not have a default score
FROM_OFFERS does not have a default score
FROM_PAYPAL_SPOOF does not have a default score
FROM_SUSPICIOUS_NTLD does not have a default score
FROM_SUSPICIOUS_NTLD_FP does not have a default score
FROM_WSP_TRAIL does not have a default score
FSL_BULK_SIG does not have a default score
FSL_CTYPE_WIN1251 does not have a default score
FSL_NEW_HELO_USER does not have a default score
FUZZY_AMAZON does not have a default score
FUZZY_ANDROID does not have a default score
FUZZY_APPLE does not have a default score
FUZZY_BITCOIN does not have a default score
FUZZY_BROWSER does not have a default score
FUZZY_BTC_WALLET does not have a default score
FUZZY_CLICK_HERE does not have a default score
FUZZY_DR_OZ does not have a default score
FUZZY_FACEBOOK does not have a default score
FUZZY_IMPORTANT does not have a default score
FUZZY_MICROSOFT does not have a default score
FUZZY_MONERO does not have a default score
FUZZY_NORTON does not have a default score
FUZZY_OVERSTOCK does not have a default score
FUZZY_PAYPAL does not have a default score
FUZZY_PORN does not have a default score
FUZZY_PRIVACY does not have a default score
FUZZY_PROMOTION does not have a default score
FUZZY_SAVINGS does not have a default score
FUZZY_SECURITY does not have a default score
FUZZY_UNSUBSCRIBE does not have a default score
FUZZY_WALLET does not have a default score
GAPPY_SALES_LEADS_FREEM does not have a default score
GB_BITCOIN_CP does not have a default score
GB_FAKE_RF_SHORT does not have a default score
GB_FORGED_MUA_POSTFIX does not have a default score
GB_FREEMAIL_DISPTO does not have a default score
GB_FREEMAIL_DISPTO_NOTFREEM does not have a default score
GB_GOOGLE_OBFUR does not have a default score
GB_HASHBL_BTC does not have a default score
GB_URI_FLEEK_STO_HTM does not have a default score
GMD_PDF_EMPTY_BODY does not have a default score
GMD_PDF_ENCRYPTED does not have a default score
GMD_PDF_HORIZ does not have a default score
GMD_PDF_SQUARE does not have a default score
GMD_PDF_VERT does not have a default score
GMD_PRODUCER_EASYPDF does not have a default score
GMD_PRODUCER_GPL does not have a default score
GMD_PRODUCER_POWERPDF does not have a default score
GOOGLE_DOCS_PHISH does not have a default score
GOOGLE_DOCS_PHISH_MANY does not have a default score
GOOGLE_DOC_SUSP does not have a default score
GOOGLE_DRIVE_REPLY_BAD_NTLD does not have a default score
GOOG_MALWARE_DNLD does not have a default score
GOOG_REDIR_DOCUSIGN does not have a default score
GOOG_REDIR_HTML_ONLY does not have a default score
GOOG_REDIR_NORDNS does not have a default score
GOOG_REDIR_SHORT does not have a default score
GOOG_STO_EMAIL_PHISH does not have a default score
GOOG_STO_HTML_PHISH does not have a default score
GOOG_STO_HTML_PHISH_MANY does not have a default score
GOOG_STO_IMG_HTML does not have a default score
GOOG_STO_IMG_NOHTML does not have a default score
GOOG_STO_NOIMG_HTML does not have a default score
HAS_X_NO_RELAY does not have a default score
HAS_X_OUTGOING_SPAM_STAT does not have a default score
HDRS_LCASE does not have a default score
HDRS_LCASE_IMGONLY does not have a default score
HDRS_MISSP does not have a default score
HDR_ORDER_FTSDMCXX_DIRECT does not have a default score
HDR_ORDER_FTSDMCXX_NORDNS does not have a default score
HEADER_FROM_DIFFERENT_DOMAINS does not have a default score
HELO_NO_DOMAIN does not have a default score
HEXHASH_WORD does not have a default score
HK_CTE_RAW does not have a default score
HK_LOTTO does not have a default score
HK_NAME_MR_MRS does not have a default score
HK_RANDOM_ENVFROM does not have a default score
HK_RANDOM_FROM does not have a default score
HK_RANDOM_REPLYTO does not have a default score
HK_RCVD_IP_MULTICAST does not have a default score
HK_SCAM does not have a default score
HK_WIN does not have a default score
HOSTED_IMG_DIRECT_MX does not have a default score
HOSTED_IMG_DQ_UNSUB does not have a default score
HOSTED_IMG_FREEM does not have a default score
HOSTED_IMG_MULTI does not have a default score
HOSTED_IMG_MULTI_PUB_01 does not have a default score
HTML_ENTITY_ASCII does not have a default score
HTML_ENTITY_ASCII_TINY does not have a default score
HTML_OFF_PAGE does not have a default score
HTML_SHRT_CMNT_OBFU_MANY does not have a default score
HTML_SINGLET_MANY does not have a default score
HTML_TAG_BALANCE_CENTER does not have a default score
HTML_TEXT_INVISIBLE_FONT does not have a default score
HTML_TEXT_INVISIBLE_STYLE does not have a default score
IMG_ONLY_FM_DOM_INFO does not have a default score
JH_SPAMMY_HEADERS does not have a default score
JH_SPAMMY_PATTERN01 does not have a default score
JH_SPAMMY_PATTERN02 does not have a default score
KHOP_FAKE_EBAY does not have a default score
KHOP_HELO_FCRDNS does not have a default score
LINKEDIN_IMG_NOT_RCVD_LNKN does not have a default score
LIST_PRTL_PUMPDUMP does not have a default score
LIST_PRTL_SAME_USER does not have a default score
LONGLN_LOW_CONTRAST does not have a default score
LONG_HEX_URI does not have a default score
LONG_IMG_URI does not have a default score
LONG_INVISIBLE_TEXT does not have a default score
LOTS_OF_MONEY does not have a default score
LOTTO_AGENT does not have a default score
LUCRATIVE does not have a default score
MAILING_LIST_MULTI does not have a default score
MALFORMED_FREEMAIL does not have a default score
MALF_HTML_B64 does not have a default score
MALWARE_NORDNS does not have a default score
MALWARE_PASSWORD does not have a default score
MALW_ATTACH does not have a default score
MANY_HDRS_LCASE does not have a default score
MANY_SPAN_IN_TEXT does not have a default score
MILLION_HUNDRED does not have a default score
MILLION_USD does not have a default score
MIMEOLE_DIRECT_TO_MX does not have a default score
MIME_NO_TEXT does not have a default score
MISSING_FROM does not have a default score
MIXED_AREA_CASE does not have a default score
MIXED_CENTER_CASE does not have a default score
MIXED_ES does not have a default score
MIXED_FONT_CASE does not have a default score
MIXED_HREF_CASE does not have a default score
MIXED_IMG_CASE does not have a default score
MONERO_DEADLINE does not have a default score
MONERO_EXTORT_01 does not have a default score
MONERO_MALWARE does not have a default score
MONERO_PAY_ME does not have a default score
MONEY_ATM_CARD does not have a default score
MONEY_FORM does not have a default score
MONEY_FORM_SHORT does not have a default score
MONEY_FRAUD_3 does not have a default score
MONEY_FRAUD_5 does not have a default score
MONEY_FRAUD_8 does not have a default score
MONEY_FREEMAIL_REPTO does not have a default score
MONEY_FROM_41 does not have a default score
MONEY_FROM_MISSP does not have a default score
MSGID_DOLLARS_URI_IMG does not have a default score
MSGID_HDR_MALF does not have a default score
MSGID_MULTIPLE_AT does not have a default score
MSMAIL_PRI_ABNORMAL does not have a default score
MSM_PRIO_REPTO does not have a default score
NAME_EMAIL_DIFF does not have a default score
NEWEGG_IMG_NOT_RCVD_NEGG does not have a default score
NEW_PRODUCTS does not have a default score
NICE_REPLY_A does not have a default score
NORDNS_LOW_CONTRAST does not have a default score
NOT_SPAM does not have a default score
NO_FM_NAME_IP_HOSTN does not have a default score
NSL_RCVD_FROM_USER does not have a default score
NSL_RCVD_HELO_USER does not have a default score
NUMBEREND_LINKBAIT does not have a default score
OBFU_BITCOIN does not have a default score
OBFU_JVSCR_ESC does not have a default score
OBFU_TEXT_ATTACH does not have a default score
OBFU_UNSUB_UL does not have a default score
ODD_FREEM_REPTO does not have a default score
PDS_BTC_ID does not have a default score
PDS_BTC_MSGID does not have a default score
PDS_DBL_URL_TNB_RUNON does not have a default score
PDS_HELO_SPF_FAIL does not have a default score
PDS_OTHER_BAD_TLD does not have a default score
PDS_TINYSUBJ_URISHRT does not have a default score
PDS_TONAME_EQ_TOLOCAL_FREEM_FORGE does not have a default score
PHISHING_FREEMAIL does not have a default score
PHISH_ATTACH does not have a default score
PHISH_AZURE_CLOUDAPP does not have a default score
PHISH_FBASEAPP does not have a default score
PHOTO_EDITING_DIRECT does not have a default score
PHOTO_EDITING_FREEM does not have a default score
PHP_NOVER_MUA does not have a default score
PHP_ORIG_SCRIPT does not have a default score
PHP_SCRIPT does not have a default score
PHP_SCRIPT_MUA does not have a default score
POSSIBLE_APPLE_PHISH_02 does not have a default score
POSSIBLE_EBAY_PHISH_02 does not have a default score
POSSIBLE_PAYPAL_PHISH_01 does not have a default score
POSSIBLE_PAYPAL_PHISH_02 does not have a default score
PP_MIME_FAKE_ASCII_TEXT does not have a default score
PP_TOO_MUCH_UNICODE02 does not have a default score
PP_TOO_MUCH_UNICODE05 does not have a default score
PUMPDUMP does not have a default score
PUMPDUMP_MULTI does not have a default score
PUMPDUMP_TIP does not have a default score
RAND_HEADER_LIST_SPOOF does not have a default score
RAND_HEADER_MANY does not have a default score
RAND_MKTG_HEADER does not have a default score
RATWARE_MS_HASH does not have a default score
RATWARE_OUTLOOK_NONAME does not have a default score
RCVD_DBL_DQ does not have a default score
RCVD_DOTEDU_SHORT does not have a default score
RCVD_DOTEDU_SUSP_URI does not have a default score
RCVD_IN_MSPIKE_H2 does not have a default score
RCVD_IN_MSPIKE_L2 does not have a default score
RDNS_NUM_TLD_ATCHNX does not have a default score
RDNS_NUM_TLD_XM does not have a default score
REPTO_419_FRAUD does not have a default score
REPTO_419_FRAUD_AOL does not have a default score
REPTO_419_FRAUD_AOL_LOOSE does not have a default score
REPTO_419_FRAUD_CNS does not have a default score
REPTO_419_FRAUD_GM does not have a default score
REPTO_419_FRAUD_GM_LOOSE does not have a default score
REPTO_419_FRAUD_HM does not have a default score
REPTO_419_FRAUD_OL does not have a default score
REPTO_419_FRAUD_PM does not have a default score
REPTO_419_FRAUD_QQ does not have a default score
REPTO_419_FRAUD_YH does not have a default score
REPTO_419_FRAUD_YH_LOOSE does not have a default score
REPTO_419_FRAUD_YJ does not have a default score
REPTO_419_FRAUD_YN does not have a default score
REPTO_INFONUMSCOM does not have a default score
RISK_FREE does not have a default score
SCC_BODY_URI_ONLY does not have a default score
SCC_CANSPAM_2 does not have a default score
SCC_ISEMM_LID_1 does not have a default score
SCC_SPAMMER_ADDR_2 does not have a default score
SCC_SPECIAL_GUID does not have a default score
SCC_THREE_WORD_MONTY does not have a default score
SCRIPT_GIBBERISH does not have a default score
SENDGRID_REDIR does not have a default score
SENDGRID_REDIR_PHISH does not have a default score
SEO_SUSP_NTLD does not have a default score
SERGIO_SUBJECT_VIAGRA01 does not have a default score
SHOPIFY_IMG_NOT_RCVD_SFY does not have a default score
SHORTENED_URL_SRC does not have a default score
SHORTENER_SHORT_IMG does not have a default score
SHORT_IMG_SUSP_NTLD does not have a default score
SHORT_SHORTNER does not have a default score
SPOOFED_FREEMAIL does not have a default score
SPOOFED_FREEMAIL_NO_RDNS does not have a default score
SPOOFED_FREEM_REPTO does not have a default score
SPOOFED_FREEM_REPTO_CHN does not have a default score
SPOOFED_FREEM_REPTO_RUS does not have a default score
SPOOF_GMAIL_MID does not have a default score
STATIC_XPRIO_OLE does not have a default score
STOCK_TIP does not have a default score
SUBJECT_IN_BLACKLIST does not have a default score
SUBJECT_IN_BLOCKLIST does not have a default score
SUBJECT_IN_WELCOMELIST does not have a default score
SUBJECT_IN_WHITELIST does not have a default score
SUBJ_ATTENTION does not have a default score
SUBJ_BRKN_WORDNUMS does not have a default score
SUBJ_UNNEEDED_HTML does not have a default score
SURBL_BLOCKED does not have a default score
SUSP_UTF8_WORD_MANY does not have a default score
SYSADMIN does not have a default score
TAGSTAT_IMG_NOT_RCVD_TGST does not have a default score
TARINGANET_IMG_NOT_RCVD_TN does not have a default score
TEQF_USR_IMAGE does not have a default score
TEQF_USR_MSGID_HEX does not have a default score
TEQF_USR_MSGID_MALF does not have a default score
THIS_AD does not have a default score
THIS_IS_ADV_SUSP_NTLD does not have a default score
TONLINE_FAKE_DKIM does not have a default score
TONOM_EQ_TOLOC_SHRT_SHRTNER does not have a default score
TO_EQ_FM_DIRECT_MX does not have a default score
TO_EQ_FM_DOM_SPF_FAIL does not have a default score
TO_EQ_FM_SPF_FAIL does not have a default score
TO_IN_SUBJ does not have a default score
TO_NAME_SUBJ_NO_RDNS does not have a default score
TO_NO_BRKTS_FROM_MSSP does not have a default score
TO_NO_BRKTS_HTML_IMG does not have a default score
TO_NO_BRKTS_HTML_ONLY does not have a default score
TO_NO_BRKTS_MSFT does not have a default score
TO_NO_BRKTS_NORDNS_HTML does not have a default score
TO_NO_BRKTS_PCNT does not have a default score
TO_TOO_MANY_WFH_01 does not have a default score
TVD_APPROVED does not have a default score
TVD_LONG_WORD5 does not have a default score
TVD_RCVD_SPACE_BRACKET does not have a default score
TVD_SUBJ_NUM_OBFU_MINFP does not have a default score
TW_GIBBERISH_MANY does not have a default score
TXREP does not have a default score
UC_GIBBERISH_OBFU does not have a default score
UNDISC_FREEM does not have a default score
UNDISC_MONEY does not have a default score
UNICODE_OBFU_ASC does not have a default score
UNICODE_OBFU_ZW does not have a default score
UNSUB_GOOG_FORM does not have a default score
UPPERCASE_URI does not have a default score
URI_ADOBESPARK does not have a default score
URI_AZURE_CLOUDAPP does not have a default score
URI_DASHGOVEDU does not have a default score
URI_DATA does not have a default score
URI_DOTEDU does not have a default score
URI_DOTEDU_ENTITY does not have a default score
URI_DOTTY_HEX does not have a default score
URI_DQ_UNSUB does not have a default score
URI_FIREBASEAPP does not have a default score
URI_GOOGLE_PROXY does not have a default score
URI_GOOG_STO_SPAMMY does not have a default score
URI_HEX_IP does not have a default score
URI_HOST_IN_BLACKLIST does not have a default score
URI_HOST_IN_BLOCKLIST does not have a default score
URI_HOST_IN_WELCOMELIST does not have a default score
URI_HOST_IN_WHITELIST does not have a default score
URI_IMG_WP_REDIR does not have a default score
URI_LONG_REPEAT does not have a default score
URI_MALWARE_SCMS does not have a default score
URI_NO_WWW_BIZ_CGI does not have a default score
URI_NO_WWW_INFO_CGI does not have a default score
URI_OBFU_DOM does not have a default score
URI_ONLY_MSGID_MALF does not have a default score
URI_OPTOUT_3LD does not have a default score
URI_OPTOUT_USME does not have a default score
URI_PHISH does not have a default score
URI_PHP_REDIR does not have a default score
URI_TRY_3LD does not have a default score
URI_TRY_USME does not have a default score
URI_WPADMIN does not have a default score
URI_WP_DIRINDEX does not have a default score
URI_WP_HACKED does not have a default score
URI_WP_HACKED_2 does not have a default score
URL_SHORTENER_CHAINED does not have a default score
URL_SHORTENER_DISABLED does not have a default score
USB_DRIVES does not have a default score
USER_IN_BLACKLIST does not have a default score
USER_IN_BLACKLIST_TO does not have a default score
USER_IN_BLOCKLIST does not have a default score
USER_IN_BLOCKLIST_TO does not have a default score
USER_IN_DEF_WELCOMELIST does not have a default score
USER_IN_DEF_WHITELIST does not have a default score
USER_IN_WELCOMELIST does not have a default score
USER_IN_WELCOMELIST_TO does not have a default score
USER_IN_WHITELIST does not have a default score
USER_IN_WHITELIST_TO does not have a default score
VFY_ACCT_NORDNS does not have a default score
VPS_NO_NTLD does not have a default score
WALMART_IMG_NOT_RCVD_WAL does not have a default score
WORD_INVIS does not have a default score
WORD_INVIS_MANY does not have a default score
XFER_LOTSA_MONEY does not have a default score
XM_DIGITS_ONLY does not have a default score
XM_PHPMAILER_FORGED does not have a default score
XM_RANDOM does not have a default score
XM_RECPTID does not have a default score
XPRIO does not have a default score
XPRIO_SHORT_SUBJ does not have a default score
YOUR_DELIVERY_ADDRESS does not have a default score
YOU_INHERIT does not have a default score
+ mv tmprules/50_newscores.cf tmprules/50_scores.cf
+ cp tmprules/50_scores.cf gen-set1-10-5.0-5500-ga/50_scores.cf
+ perl ./fp-fn-statistics --ham ham-test.log --spam spam-test.log --scoreset 1 --cffile=tmprules --fnlog gen-set1-10-5.0-5500-ga/false_negatives --fplog gen-set1-10-5.0-5500-ga/false_positives
[../build/parse-rules-for-masses -o ./tmp/rules_1014573.pl -d "tmprules" -s 1]
Thu 09 Jun 2022 02:41:29 AM UTC
[ generating fp-fn-statistics ]
[../build/parse-rules-for-masses -o ./tmp/rules_1020178.pl -d "../rules-base" -s 1]
[../build/parse-rules-for-masses -o ./tmp/rules_1020191.pl -d "../rules-base" -s 1]
Thu 09 Jun 2022 02:41:58 AM UTC
[ extracting new scores ]
Removing scores for base release rules from newly generated scores
# Using score set 1 logs for revision 1901610 from:
# ham-net-darxus.r1901610.log ham-net-ena-week0.r1901610.log ham-net-ena-week1.r1901610.log ham-net-ena-week2.r1901610.log ham-net-ena-week3.r1901610.log ham-net-ena-week4.r1901610.log ham-net-giovanni-ham.r1901610.log ham-net-giovanni-spammy.r1901610.log ham-net-giovanni-spam.r1901610.log ham-net-grenier.r1901610.log ham-net-hege.r1901610.log ham-net-jhardin.r1901610.log ham-net-llanga.r1901610.log ham-net-mmiroslaw-mails-ham.r1901610.log ham-net-mmiroslaw-mails-spam.r1901610.log ham-net-thendrikx.r1901610.log ham-net-tsz-spam-corpus.r1901610.log spam-net-darxus.r1901610.log spam-net-ena-week0.r1901610.log spam-net-ena-week1.r1901610.log spam-net-ena-week2.r1901610.log spam-net-ena-week3.r1901610.log spam-net-ena-week4.r1901610.log spam-net-giovanni-ham.r1901610.log spam-net-giovanni-spammy.r1901610.log spam-net-giovanni-spam.r1901610.log spam-net-grenier.r1901610.log spam-net-hege.r1901610.log spam-net-jhardin.r1901610.log spam-net-llanga.r1901610.log spam-net-mmiroslaw-mails-ham.r
 1901610.log spam-net-mmiroslaw-mails-spam.r1901610.log spam-net-thendrikx.r1901610.log spam-net-tsz-spam-corpus.r1901610.log

score AC_BR_BONANZA                  0.001
score AC_DIV_BONANZA                 0.001
score AC_FROM_MANY_DOTS              2.996
score AC_HTML_NONSENSE_TAGS          1.998
score ADMITS_SPAM                    2.896
score ADVANCE_FEE_2_NEW_FRM_MNY      1.924
score ADVANCE_FEE_2_NEW_MONEY        1.997
score ADVANCE_FEE_3_NEW              3.496
score ADVANCE_FEE_3_NEW_MONEY        2.696
score ADVANCE_FEE_4_NEW              2.298
score ADVANCE_FEE_4_NEW_FRM_MNY      0.001
score ADVANCE_FEE_4_NEW_MONEY        1.983
score ADVANCE_FEE_5_NEW              2.497
score ADVANCE_FEE_5_NEW_FRM_MNY      2.382
score ADVANCE_FEE_5_NEW_MONEY        0.001
score AD_PREFS                       0.001
score ALIBABA_IMG_NOT_RCVD_ALI       2.497
score AMAZON_IMG_NOT_RCVD_AMZN       2.497
score APOSTROPHE_TOCC                0.998
score AXB_XMAILER_MIMEOLE_OL_024C2   0.001
score BIGNUM_EMAILS_FREEM            2.020
score BITCOIN_EXTORT_01              4.269
score BITCOIN_MALWARE                0.001
score BITCOIN_ONAN                   2.996
score BITCOIN_PAY_ME                 2.299
score BITCOIN_SPAM_01                2.497
score BITCOIN_SPAM_02                1.009
score BITCOIN_SPAM_03                2.497
score BITCOIN_SPAM_05                0.001
score BITCOIN_SPAM_09                0.726
score BITCOIN_XPRIO                  0.276
score BITCOIN_YOUR_INFO              2.996
score BODY_EMAIL_419_FRAUD_GM        0.152
score BODY_SINGLE_URI                0.001
score BODY_URI_ONLY                  0.971
score BOGUS_MSM_HDRS                 1.638
score CONTENT_AFTER_HTML             2.497
score CONTENT_AFTER_HTML_WEAK        1.498
score CTE_8BIT_MISMATCH              0.001
score DEAR_BENEFICIARY               0.001
score DKIMWL_WL_HIGH                 -1.146
score DKIMWL_WL_MED                  -0.001
score DKIMWL_WL_MEDHI                -0.317
score DX_TEXT_03                     1.597
score ENCRYPTED_MESSAGE              -0.999
score END_FUTURE_EMAILS              2.497
score FACEBOOK_IMG_NOT_RCVD_FB       1.997
score FILL_THIS_FORM                 0.000
score FONT_INVIS_DIRECT              0.458
score FONT_INVIS_MSGID               0.001
score FONT_INVIS_POSTEXTRAS          2.179
score FORGED_SPF_HELO                0.046
score FORM_FRAUD                     0.998
score FORM_FRAUD_3                   1.563
score FORM_FRAUD_5                   0.001
score FREEMAIL_FORGED_FROMDOMAIN     0.248
score FROM_2_EMAILS_SHORT            2.876
score FROM_ADDR_WS                   2.996
score FROM_FMBLA_NEWDOM              1.498
score FROM_FMBLA_NEWDOM14            0.998
score FROM_FMBLA_NEWDOM28            0.798
score FROM_GOV_DKIM_AU               -0.034
score FROM_GOV_SPOOF                 0.999
score FROM_MISSPACED                 0.001
score FROM_MISSP_DYNIP               2.297
score FROM_MISSP_EH_MATCH            0.071
score FROM_MISSP_FREEMAIL            0.001
score FROM_MISSP_MSFT                0.001
score FROM_MISSP_SPF_FAIL            0.831
score FROM_MISSP_TO_UNDISC           0.001
score FROM_MISSP_USER                0.001
score FROM_MULTI_NORDNS              1.068
score FROM_NTLD_REPLY_FREEMAIL       1.664
score FROM_PAYPAL_SPOOF              0.954
score FROM_SUSPICIOUS_NTLD           0.498
score FROM_SUSPICIOUS_NTLD_FP        1.997
score FSL_BULK_SIG                   0.001
score FSL_CTYPE_WIN1251              0.001
score FSL_NEW_HELO_USER              0.001
score GB_BITCOIN_CP                  2.996
score GB_FAKE_RF_SHORT               1.997
score GB_FREEMAIL_DISPTO             0.498
score GB_HASHBL_BTC                  2.712
score GB_URI_FLEEK_STO_HTM           0.998
score GOOG_MALWARE_DNLD              2.981
score GOOG_REDIR_HTML_ONLY           1.997
score GOOG_REDIR_NORDNS              3.396
score GOOG_STO_EMAIL_PHISH           2.997
score GOOG_STO_IMG_NOHTML            2.498
score GOOG_STO_NOIMG_HTML            2.948
score HAS_X_OUTGOING_SPAM_STAT       0.001
score HDRS_LCASE_IMGONLY             0.099
score HDRS_MISSP                     1.313
score HDR_ORDER_FTSDMCXX_DIRECT      0.000
score HDR_ORDER_FTSDMCXX_NORDNS      0.001
score HEADER_FROM_DIFFERENT_DOMAINS  0.249
score HELO_NO_DOMAIN                 0.001
score HK_LOTTO                       0.998
score HK_NAME_MR_MRS                 0.794
score HK_RANDOM_ENVFROM              0.998
score HK_RANDOM_FROM                 0.998
score HK_RANDOM_REPLYTO              0.998
score HK_SCAM                        0.001
score HOSTED_IMG_DIRECT_MX           3.075
score HOSTED_IMG_FREEM               0.912
score HOSTED_IMG_MULTI_PUB_01        2.996
score HTML_OFF_PAGE                  2.997
score HTML_SINGLET_MANY              1.984
score HTML_TAG_BALANCE_CENTER        2.796
score HTML_TEXT_INVISIBLE_FONT       1.997
score HTML_TEXT_INVISIBLE_STYLE      3.496
score JH_SPAMMY_HEADERS              3.497
score KHOP_HELO_FCRDNS               0.001
score LONGLN_LOW_CONTRAST            2.497
score LONG_HEX_URI                   1.515
score LONG_IMG_URI                   1.743
score LONG_INVISIBLE_TEXT            0.001
score LOTS_OF_MONEY                  0.010
score LOTTO_AGENT                    1.498
score MALWARE_NORDNS                 0.001
score MALW_ATTACH                    2.397
score MILLION_HUNDRED                0.001
score MILLION_USD                    1.997
score MIMEOLE_DIRECT_TO_MX           0.001
score MIXED_ES                       1.898
score MONEY_ATM_CARD                 0.001
score MONEY_FORM                     0.001
score MONEY_FORM_SHORT               0.000
score MONEY_FRAUD_3                  1.505
score MONEY_FRAUD_5                  0.001
score MONEY_FRAUD_8                  0.001
score MONEY_FREEMAIL_REPTO           1.981
score MONEY_FROM_41                  1.997
score MONEY_FROM_MISSP               0.001
score MSGID_HDR_MALF                 3.496
score MSMAIL_PRI_ABNORMAL            0.001
score MSM_PRIO_REPTO                 2.167
score NAME_EMAIL_DIFF                0.001
score NICE_REPLY_A                   -1.065
score NORDNS_LOW_CONTRAST            1.223
score NO_FM_NAME_IP_HOSTN            0.000
score NSL_RCVD_FROM_USER             0.001
score NSL_RCVD_HELO_USER             2.080
score NUMBEREND_LINKBAIT             0.103
score OBFU_TEXT_ATTACH               0.882
score ODD_FREEM_REPTO                2.935
score PDS_BTC_ID                     0.000
score PDS_BTC_MSGID                  0.001
score PDS_DBL_URL_TNB_RUNON          1.193
score PDS_OTHER_BAD_TLD              1.997
score PDS_TINYSUBJ_URISHRT           1.498
score PDS_TONAME_EQ_TOLOCAL_FREEM_FORGE 1.997
score PHP_ORIG_SCRIPT                2.084
score PHP_SCRIPT                     2.497
score PP_MIME_FAKE_ASCII_TEXT        0.001
score RAND_MKTG_HEADER               1.997
score RCVD_IN_MSPIKE_H2              -0.001
score RDNS_NUM_TLD_XM                2.499
score REPTO_419_FRAUD_GM             2.996
score REPTO_INFONUMSCOM              2.996
score RISK_FREE                      1.853
score SCC_BODY_URI_ONLY              2.687
score SCC_CANSPAM_2                  2.596
score SCC_ISEMM_LID_1                3.059
score SCC_THREE_WORD_MONTY           3.013
score SCRIPT_GIBBERISH               2.896
score SENDGRID_REDIR                 1.498
score SERGIO_SUBJECT_VIAGRA01        1.842
score SHOPIFY_IMG_NOT_RCVD_SFY       2.148
score SHORTENER_SHORT_IMG            0.001
score SHORT_IMG_SUSP_NTLD            0.193
score SHORT_SHORTNER                 1.997
score SPOOFED_FREEMAIL               1.631
score SPOOFED_FREEMAIL_NO_RDNS       0.001
score SPOOFED_FREEM_REPTO            2.497
score SPOOF_GMAIL_MID                0.001
score STATIC_XPRIO_OLE               1.858
score SUBJ_ATTENTION                 0.499
score THIS_AD                        1.098
score TONOM_EQ_TOLOC_SHRT_SHRTNER    0.973
score TO_EQ_FM_DOM_SPF_FAIL          0.001
score TO_EQ_FM_SPF_FAIL              0.001
score TO_NAME_SUBJ_NO_RDNS           0.001
score TO_NO_BRKTS_FROM_MSSP          2.497
score TO_NO_BRKTS_HTML_IMG           1.997
score TO_NO_BRKTS_HTML_ONLY          1.997
score TO_NO_BRKTS_NORDNS_HTML        1.203
score TO_NO_BRKTS_PCNT               2.497
score TVD_LONG_WORD5                 2.996
score TVD_RCVD_SPACE_BRACKET         2.025
score UNDISC_FREEM                   2.347
score UNDISC_MONEY                   0.702
score UPPERCASE_URI                  2.420
score URI_DOTEDU                     1.998
score URI_FIREBASEAPP                2.996
score URI_GOOGLE_PROXY               2.297
score URI_OBFU_DOM                   2.497
score URI_ONLY_MSGID_MALF            0.609
score URI_PHISH                      2.513
score URI_PHP_REDIR                  3.165
score URI_TRY_3LD                    0.635
score URI_WP_HACKED                  3.496
score URI_WP_HACKED_2                1.963
score WORD_INVIS_MANY                2.996
score XFER_LOTSA_MONEY               0.998
score XM_DIGITS_ONLY                 2.383
score XM_RANDOM                      2.497
score XM_RECPTID                     2.996
score XPRIO                          0.001
score YOUR_DELIVERY_ADDRESS          1.109
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 APP_DEVELOPMENT_FREEM          1.000
score APP_DEVELOPMENT_NORDNS         1.000
score BEBEE_IMG_NOT_RCVD_BB          1.000
score BIGNUM_EMAILS_MANY             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_OBFU_SUBJ              1.000
score BITCOIN_SPAM_04                1.000
score BITCOIN_SPAM_06                1.000
score BITCOIN_SPAM_07                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 BITCOIN_SPF_ONLYALL            1.000
score BOGUS_MIME_VERSION             1.000
score BOMB_FREEM                     1.000
score BOMB_MONEY                     1.000
score BTC_ORG                        1.000
score BULK_RE_SUSP_NTLD              1.000
score CANT_SEE_AD                    1.000
score COMMENT_GIBBERISH              1.000
score DAY_I_EARNED                   1.000
score DKIMWL_BL                      1.000
score DKIMWL_BLOCKED                 0.001
score DOTGOV_IMAGE                   1.000
score DYNAMIC_IMGUR                  1.000
score EBAY_IMG_NOT_RCVD_EBAY         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_HTML_NOHTML         1.000
score FONT_INVIS_LONG_LINE           1.000
score FONT_INVIS_NORDNS              1.000
score FOUND_YOU                      1.000
score FREEM_FRNUM_UNICD_EMPTY        1.000
score FRNAME_IN_MSG_XPRIO_NO_SUB     1.000
score FROM_BANK_NOAUTH               1.000
score FROM_FMBLA_NDBLOCKED           0.001
score FROM_GOV_REPLYTO_FREEMAIL      1.000
score FROM_MISSP_PHISH               1.000
score FROM_NEWDOM_BTC                1.000
score FROM_NTLD_LINKBAIT             1.000
score FROM_NUMBERO_NEWDOMAIN         1.000
score FROM_NUMERIC_TLD               1.000
score GAPPY_SALES_LEADS_FREEM        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            1.000
score GOOG_STO_HTML_PHISH_MANY       1.000
score GOOG_STO_IMG_HTML              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 HK_WIN                         1.000
score HOSTED_IMG_DQ_UNSUB            1.000
score HOSTED_IMG_MULTI               1.000
score HTML_ENTITY_ASCII              1.000
score HTML_ENTITY_ASCII_TINY         1.000
score HTML_SHRT_CMNT_OBFU_MANY       1.000
score IMG_ONLY_FM_DOM_INFO           1.000
score JH_SPAMMY_PATTERN01            1.000
score JH_SPAMMY_PATTERN02            1.000
score LINKEDIN_IMG_NOT_RCVD_LNKN     1.000
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 MIXED_AREA_CASE                1.000
score MIXED_CENTER_CASE              1.000
score MIXED_FONT_CASE                1.000
score MIXED_HREF_CASE                1.000
score MIXED_IMG_CASE                 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 NEW_PRODUCTS                   1.000
score OBFU_BITCOIN                   1.000
score PDS_HELO_SPF_FAIL              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_LIST_SPOOF         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                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_GM_LOOSE       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 SEO_SUSP_NTLD                  1.000
score SPOOFED_FREEM_REPTO_CHN        1.000
score SPOOFED_FREEM_REPTO_RUS        1.000
score STOCK_TIP                      1.000
score SUBJ_BRKN_WORDNUMS             1.000
score SYSADMIN                       1.000
score TAGSTAT_IMG_NOT_RCVD_TGST      1.000
score TARINGANET_IMG_NOT_RCVD_TN     1.000
score THIS_IS_ADV_SUSP_NTLD          1.000
score TONLINE_FAKE_DKIM              1.000
score TO_EQ_FM_DIRECT_MX             1.000
score TO_IN_SUBJ                     0.100
score TW_GIBBERISH_MANY              1.000
score UC_GIBBERISH_OBFU              1.000
score UNICODE_OBFU_ASC               1.000
score UNICODE_OBFU_ZW                1.000
score UNSUB_GOOG_FORM                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_GOOG_STO_SPAMMY            3.000
score URI_HEX_IP                     1.000
score URI_IMG_WP_REDIR               1.000
score URI_LONG_REPEAT                1.000
score URI_OPTOUT_3LD                 1.000
score URI_TRY_USME                   1.000
score URI_WP_DIRINDEX                1.000
score USB_DRIVES                     1.000
score VFY_ACCT_NORDNS                1.000
score VPS_NO_NTLD                    1.000
score WALMART_IMG_NOT_RCVD_WAL       1.000
score WORD_INVIS                     1.000
score XPRIO_SHORT_SUBJ               1.000
Thu 09 Jun 2022 02:41:58 AM UTC
[ completed ]
/usr/local/spamassassin/automc/tmp/generate-new-scores
Thu 09 Jun 2022 02:41:58 AM UTC
[ rsyncing logs ]
[ rsyncing logs locally ]
sending incremental file list

sent 3,338 bytes  received 12 bytes  6,700.00 bytes/sec
total size is 4,959,738,872  speedup is 1,480,519.07
Thu 09 Jun 2022 02:41:58 AM UTC
[ selecting log files to use for scoreset 0 ]
Linked ham-thendrikx.r1901694.log to corpus/usable-corpus-set0/ham-thendrikx.r1901694.log
Linked spam-spamsponge.r1901694.log to corpus/usable-corpus-set0/spam-spamsponge.r1901694.log
Linked ham-spamsponge.r1901694.log to corpus/usable-corpus-set0/ham-spamsponge.r1901694.log
Linked spam-thendrikx.r1901694.log to corpus/usable-corpus-set0/spam-thendrikx.r1901694.log
Linked spam-grenier.r1901694.log to corpus/usable-corpus-set0/spam-grenier.r1901694.log
Linked ham-grenier.r1901694.log to corpus/usable-corpus-set0/ham-grenier.r1901694.log

Majority SVN revision found: 1901694

Checking corpus/usable-corpus-set0/ham-thendrikx.r1901694.log for SVN 1901694...
# SVN revision: 1901694
Checking corpus/usable-corpus-set0/spam-spamsponge.r1901694.log for SVN 1901694...
# SVN revision: 1901694
Checking corpus/usable-corpus-set0/ham-spamsponge.r1901694.log for SVN 1901694...
# SVN revision: 1901694
Checking corpus/usable-corpus-set0/spam-thendrikx.r1901694.log for SVN 1901694...
# SVN revision: 1901694
Checking corpus/usable-corpus-set0/spam-grenier.r1901694.log for SVN 1901694...
# SVN revision: 1901694
Checking corpus/usable-corpus-set0/ham-grenier.r1901694.log for SVN 1901694...
# SVN revision: 1901694
 HAM CONTRIBUTORS FOUND: 3 (required 8)
SPAM CONTRIBUTORS FOUND: 3 (required 8)
Insufficient ham corpus contributors; aborting.
+ RV=6
+ '[' 6 -ne 0 ']'
+ echo 'Exit Status 6 is not zero for do-nightly-rescore-example'
Exit Status 6 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 6'
+ echo ''
+ echo 'Exit Status 6 is not zero for do-nightly-rescore-example.sh'
+ echo ''
+ echo '=== tail of ~automc/tmp/do-stable-update-with-scores.log ==='
+ tail -20 /usr/local/spamassassin/automc/tmp/do-stable-update-with-scores.log
+ /usr/sbin/sendmail -oi ruleqa@spamassassin.apache.org