You are viewing a plain text version of this content. The canonical link for it is here.
Posted to sysadmins@spamassassin.apache.org by ro...@sa-vm.apache.org on 2023/03/06 02:36:00 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
Mon 06 Mar 2023 02:25:02 AM UTC
[ rsyncing logs ]
[ rsyncing logs locally ]
sending incremental file list
ham-darxus.r1901658.log
ham-ena-week0.r1901658.log
ham-ena-week1.r1901658.log
ham-ena-week2.r1901658.log
ham-ena-week3.r1901658.log
ham-ena-week3.r1908012.log
ham-ena-week3.r1908078.log
ham-ena-week4.r1901658.log
ham-ena-week4.r1908012.log
ham-ena-week4.r1908078.log
ham-giovanni-ham.r1908012.log
ham-giovanni-ham.r1908078.log
ham-giovanni-spam.r1908012.log
ham-giovanni-spam.r1908078.log
ham-giovanni-spammy.r1908012.log
ham-giovanni-spammy.r1908078.log
ham-grenier.r1901658.log
ham-grenier.r1908012.log
ham-hege.r1901658.log
ham-hege.r1908012.log
ham-hege.r1908078.log
ham-jhardin.r1901658.log
ham-jhardin.r1908078.log
ham-llanga.r1908012.log
ham-llanga.r1908078.log
ham-mmiroslaw-mails-ham.r1908012.log
ham-mmiroslaw-mails-ham.r1908078.log
ham-mmiroslaw-mails-spam.r1908012.log
ham-mmiroslaw-mails-spam.r1908078.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-week2.r1907866.log
ham-net-ena-week3.r1901610.log
ham-net-ena-week3.r1907866.log
ham-net-ena-week3.r1908044.log
ham-net-ena-week4.r1901610.log
ham-net-ena-week4.r1907866.log
ham-net-ena-week4.r1908044.log
ham-net-giovanni-ham.r1901610.log
ham-net-giovanni-ham.r1907866.log
ham-net-giovanni-ham.r1908044.log
ham-net-giovanni-spam.r1901610.log
ham-net-giovanni-spam.r1907866.log
ham-net-giovanni-spam.r1908044.log
ham-net-giovanni-spammy.r1901610.log
ham-net-giovanni-spammy.r1907866.log
ham-net-giovanni-spammy.r1908044.log
ham-net-grenier.r1901610.log
ham-net-grenier.r1908044.log
ham-net-hege.r1901610.log
ham-net-hege.r1907866.log
ham-net-hege.r1908044.log
ham-net-jhardin.r1901610.log
ham-net-llanga.r1901610.log
ham-net-llanga.r1907866.log
ham-net-llanga.r1908044.log
ham-net-mmiroslaw-mails-ham.r1901610.log
ham-net-mmiroslaw-mails-ham.r1907866.log
ham-net-mmiroslaw-mails-ham.r1908044.log
ham-net-mmiroslaw-mails-spam.r1901610.log
ham-net-mmiroslaw-mails-spam.r1907866.log
ham-net-mmiroslaw-mails-spam.r1908044.log
ham-net-spamsponge.r1907866.log
ham-net-spamsponge.r1908044.log
ham-net-thendrikx.r1901610.log
ham-net-thendrikx.r1907866.log
ham-net-thendrikx.r1908044.log
ham-net-tsz-spam-corpus.r1901610.log
ham-net-tsz-spam-corpus.r1907866.log
ham-net-tsz-spam-corpus.r1908044.log
ham-spamsponge.r1901658.log
ham-spamsponge.r1908012.log
ham-spamsponge.r1908078.log
ham-thendrikx.r1901658.log
ham-thendrikx.r1908012.log
ham-thendrikx.r1908078.log
ham-tsz-spam-corpus.r1901658.log
ham-tsz-spam-corpus.r1908012.log
ham-tsz-spam-corpus.r1908078.log
spam-darxus.r1901658.log
spam-ena-week0.r1901658.log
spam-ena-week1.r1901658.log
spam-ena-week2.r1901658.log
spam-ena-week3.r1901658.log
spam-ena-week3.r1908012.log
spam-ena-week3.r1908078.log
spam-ena-week4.r1901658.log
spam-ena-week4.r1908012.log
spam-ena-week4.r1908078.log
spam-giovanni-ham.r1908012.log
spam-giovanni-ham.r1908078.log
spam-giovanni-spam.r1908012.log
spam-giovanni-spam.r1908078.log
spam-giovanni-spammy.r1908012.log
spam-giovanni-spammy.r1908078.log
spam-grenier.r1901658.log
spam-grenier.r1908012.log
spam-hege.r1901658.log
spam-hege.r1908012.log
spam-hege.r1908078.log
spam-jhardin.r1901658.log
spam-jhardin.r1908078.log
spam-llanga.r1908012.log
spam-llanga.r1908078.log
spam-mmiroslaw-mails-ham.r1908012.log
spam-mmiroslaw-mails-ham.r1908078.log
spam-mmiroslaw-mails-spam.r1908012.log
spam-mmiroslaw-mails-spam.r1908078.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-week2.r1907866.log
spam-net-ena-week3.r1901610.log
spam-net-ena-week3.r1907866.log
spam-net-ena-week3.r1908044.log
spam-net-ena-week4.r1901610.log
spam-net-ena-week4.r1907866.log
spam-net-ena-week4.r1908044.log
spam-net-giovanni-ham.r1901610.log
spam-net-giovanni-ham.r1907866.log
spam-net-giovanni-ham.r1908044.log
spam-net-giovanni-spam.r1901610.log
spam-net-giovanni-spam.r1907866.log
spam-net-giovanni-spam.r1908044.log
spam-net-giovanni-spammy.r1901610.log
spam-net-giovanni-spammy.r1907866.log
spam-net-giovanni-spammy.r1908044.log
spam-net-grenier.r1901610.log
spam-net-grenier.r1908044.log
spam-net-hege.r1901610.log
spam-net-hege.r1907866.log
spam-net-hege.r1908044.log
spam-net-jhardin.r1901610.log
spam-net-llanga.r1901610.log
spam-net-llanga.r1907866.log
spam-net-llanga.r1908044.log
spam-net-mmiroslaw-mails-ham.r1901610.log
spam-net-mmiroslaw-mails-ham.r1907866.log
spam-net-mmiroslaw-mails-ham.r1908044.log
spam-net-mmiroslaw-mails-spam.r1901610.log
spam-net-mmiroslaw-mails-spam.r1907866.log
spam-net-mmiroslaw-mails-spam.r1908044.log
spam-net-spamsponge.r1907866.log
spam-net-spamsponge.r1908044.log
spam-net-thendrikx.r1901610.log
spam-net-thendrikx.r1907866.log
spam-net-thendrikx.r1908044.log
spam-net-tsz-spam-corpus.r1901610.log
spam-net-tsz-spam-corpus.r1907866.log
spam-net-tsz-spam-corpus.r1908044.log
spam-spamsponge.r1901658.log
spam-spamsponge.r1908012.log
spam-spamsponge.r1908078.log
spam-thendrikx.r1901658.log
spam-thendrikx.r1908012.log
spam-thendrikx.r1908078.log
spam-tsz-spam-corpus.r1901658.log
spam-tsz-spam-corpus.r1908012.log
spam-tsz-spam-corpus.r1908078.log

sent 6,004,008,511 bytes  received 3,094 bytes  134,921,609.10 bytes/sec
total size is 6,002,531,809  speedup is 1.00
Mon 06 Mar 2023 02:25:46 AM UTC
[ selecting log files to use for scoreset 1 ]
Linked ham-net-grenier.r1908044.log to corpus/usable-corpus-set1/ham-net-grenier.r1908044.log
Linked spam-net-giovanni-spam.r1908044.log to corpus/usable-corpus-set1/spam-net-giovanni-spam.r1908044.log
Linked ham-net-mmiroslaw-mails-spam.r1908044.log to corpus/usable-corpus-set1/ham-net-mmiroslaw-mails-spam.r1908044.log
Linked spam-net-hege.r1908044.log to corpus/usable-corpus-set1/spam-net-hege.r1908044.log
Linked ham-net-spamsponge.r1908044.log to corpus/usable-corpus-set1/ham-net-spamsponge.r1908044.log
Linked ham-net-ena-week4.r1908044.log to corpus/usable-corpus-set1/ham-net-ena-week4.r1908044.log
Linked ham-net-giovanni-spammy.r1908044.log to corpus/usable-corpus-set1/ham-net-giovanni-spammy.r1908044.log
Linked spam-net-llanga.r1908044.log to corpus/usable-corpus-set1/spam-net-llanga.r1908044.log
Linked ham-net-giovanni-spam.r1908044.log to corpus/usable-corpus-set1/ham-net-giovanni-spam.r1908044.log
Linked spam-net-tsz-spam-corpus.r1908044.log to corpus/usable-corpus-set1/spam-net-tsz-spam-corpus.r1908044.log
Linked spam-net-giovanni-spammy.r1908044.log to corpus/usable-corpus-set1/spam-net-giovanni-spammy.r1908044.log
Linked ham-net-llanga.r1908044.log to corpus/usable-corpus-set1/ham-net-llanga.r1908044.log
Linked ham-net-giovanni-ham.r1908044.log to corpus/usable-corpus-set1/ham-net-giovanni-ham.r1908044.log
Linked ham-net-mmiroslaw-mails-ham.r1908044.log to corpus/usable-corpus-set1/ham-net-mmiroslaw-mails-ham.r1908044.log
Linked spam-net-spamsponge.r1908044.log to corpus/usable-corpus-set1/spam-net-spamsponge.r1908044.log
Linked ham-net-thendrikx.r1908044.log to corpus/usable-corpus-set1/ham-net-thendrikx.r1908044.log
Linked spam-net-mmiroslaw-mails-spam.r1908044.log to corpus/usable-corpus-set1/spam-net-mmiroslaw-mails-spam.r1908044.log
Linked spam-net-ena-week3.r1908044.log to corpus/usable-corpus-set1/spam-net-ena-week3.r1908044.log
Linked ham-net-tsz-spam-corpus.r1908044.log to corpus/usable-corpus-set1/ham-net-tsz-spam-corpus.r1908044.log
Linked spam-net-thendrikx.r1908044.log to corpus/usable-corpus-set1/spam-net-thendrikx.r1908044.log
Linked spam-net-mmiroslaw-mails-ham.r1908044.log to corpus/usable-corpus-set1/spam-net-mmiroslaw-mails-ham.r1908044.log
Linked spam-net-ena-week4.r1908044.log to corpus/usable-corpus-set1/spam-net-ena-week4.r1908044.log
Linked spam-net-giovanni-ham.r1908044.log to corpus/usable-corpus-set1/spam-net-giovanni-ham.r1908044.log
Linked ham-net-hege.r1908044.log to corpus/usable-corpus-set1/ham-net-hege.r1908044.log
Linked spam-net-grenier.r1908044.log to corpus/usable-corpus-set1/spam-net-grenier.r1908044.log
Linked ham-net-ena-week3.r1908044.log to corpus/usable-corpus-set1/ham-net-ena-week3.r1908044.log

Majority SVN revision found: 1908044

Checking corpus/usable-corpus-set1/ham-net-grenier.r1908044.log for SVN 1908044...
# SVN revision: 1908044
Checking corpus/usable-corpus-set1/spam-net-giovanni-spam.r1908044.log for SVN 1908044...
# SVN revision: 1908044
Checking corpus/usable-corpus-set1/ham-net-mmiroslaw-mails-spam.r1908044.log for SVN 1908044...
# SVN revision: 1908044
Checking corpus/usable-corpus-set1/spam-net-hege.r1908044.log for SVN 1908044...
# SVN revision: 1908044
Checking corpus/usable-corpus-set1/ham-net-spamsponge.r1908044.log for SVN 1908044...
# SVN revision: 1908044
Checking corpus/usable-corpus-set1/ham-net-ena-week4.r1908044.log for SVN 1908044...
# SVN revision: 1908044
Checking corpus/usable-corpus-set1/ham-net-giovanni-spammy.r1908044.log for SVN 1908044...
# SVN revision: 1908044
Checking corpus/usable-corpus-set1/spam-net-llanga.r1908044.log for SVN 1908044...
# SVN revision: 1908044
Checking corpus/usable-corpus-set1/ham-net-giovanni-spam.r1908044.log for SVN 1908044...
# SVN revision: 1908044
Checking corpus/usable-corpus-set1/spam-net-tsz-spam-corpus.r1908044.log for SVN 1908044...
# SVN revision: 1908044
Checking corpus/usable-corpus-set1/spam-net-giovanni-spammy.r1908044.log for SVN 1908044...
# SVN revision: 1908044
Checking corpus/usable-corpus-set1/ham-net-llanga.r1908044.log for SVN 1908044...
# SVN revision: 1908044
Checking corpus/usable-corpus-set1/ham-net-giovanni-ham.r1908044.log for SVN 1908044...
# SVN revision: 1908044
Checking corpus/usable-corpus-set1/ham-net-mmiroslaw-mails-ham.r1908044.log for SVN 1908044...
# SVN revision: 1908044
Checking corpus/usable-corpus-set1/spam-net-spamsponge.r1908044.log for SVN 1908044...
# SVN revision: 1908044
Checking corpus/usable-corpus-set1/ham-net-thendrikx.r1908044.log for SVN 1908044...
# SVN revision: 1908044
Checking corpus/usable-corpus-set1/spam-net-mmiroslaw-mails-spam.r1908044.log for SVN 1908044...
# SVN revision: 1908044
Checking corpus/usable-corpus-set1/spam-net-ena-week3.r1908044.log for SVN 1908044...
# SVN revision: 1908044
Checking corpus/usable-corpus-set1/ham-net-tsz-spam-corpus.r1908044.log for SVN 1908044...
# SVN revision: 1908044
Checking corpus/usable-corpus-set1/spam-net-thendrikx.r1908044.log for SVN 1908044...
# SVN revision: 1908044
Checking corpus/usable-corpus-set1/spam-net-mmiroslaw-mails-ham.r1908044.log for SVN 1908044...
# SVN revision: 1908044
Checking corpus/usable-corpus-set1/spam-net-ena-week4.r1908044.log for SVN 1908044...
# SVN revision: 1908044
Checking corpus/usable-corpus-set1/spam-net-giovanni-ham.r1908044.log for SVN 1908044...
# SVN revision: 1908044
Checking corpus/usable-corpus-set1/ham-net-hege.r1908044.log for SVN 1908044...
# SVN revision: 1908044
Checking corpus/usable-corpus-set1/spam-net-grenier.r1908044.log for SVN 1908044...
# SVN revision: 1908044
Checking corpus/usable-corpus-set1/ham-net-ena-week3.r1908044.log for SVN 1908044...
# SVN revision: 1908044
 HAM CONTRIBUTORS FOUND: 13 (required 8)
SPAM CONTRIBUTORS FOUND: 13 (required 8)
Mon 06 Mar 2023 02:25:46 AM UTC
[ checking out code from svn repository ]
+ svn co -r 1908044 http://svn.apache.org/repos/asf/spamassassin/trunk trunk-new-rules-set1
A    trunk-new-rules-set1/rules
A    trunk-new-rules-set1/rules/v343.pre
A    trunk-new-rules-set1/rules/20_mailspike.cf
A    trunk-new-rules-set1/rules/30_text_fr.cf
A    trunk-new-rules-set1/rules/60_awl.cf
A    trunk-new-rules-set1/rules/init.pre
A    trunk-new-rules-set1/rules/active.list
A    trunk-new-rules-set1/rules/25_url_shortener.cf
A    trunk-new-rules-set1/rules/25_dkim.cf
A    trunk-new-rules-set1/rules/25_dcc.cf
A    trunk-new-rules-set1/rules/25_razor2.cf
A    trunk-new-rules-set1/rules/20_dynrdns.cf
A    trunk-new-rules-set1/rules/10_hasbase.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/25_uribl.cf
A    trunk-new-rules-set1/rules/v342.pre
A    trunk-new-rules-set1/rules/30_text_de.cf
A    trunk-new-rules-set1/rules/30_text_pt_br.cf
A    trunk-new-rules-set1/rules/regression_tests.cf
A    trunk-new-rules-set1/rules/50_scores.cf
A    trunk-new-rules-set1/rules/local.cf
A    trunk-new-rules-set1/rules/60_welcomelist.cf
A    trunk-new-rules-set1/rules/20_meta_tests.cf
A    trunk-new-rules-set1/rules/20_compensate.cf
A    trunk-new-rules-set1/rules/20_head_tests.cf
A    trunk-new-rules-set1/rules/20_html_tests.cf
A    trunk-new-rules-set1/rules/20_pdfinfo.cf
A    trunk-new-rules-set1/rules/20_aux_tlds.cf
A    trunk-new-rules-set1/rules/30_text_nl.cf
A    trunk-new-rules-set1/rules/25_dnswl.cf
A    trunk-new-rules-set1/rules/languages
A    trunk-new-rules-set1/rules/20_fake_helo_tests.cf
A    trunk-new-rules-set1/rules/20_ratware.cf
A    trunk-new-rules-set1/rules/20_drugs.cf
A    trunk-new-rules-set1/rules/25_replace.cf
A    trunk-new-rules-set1/rules/60_adsp_override_dkim.cf
A    trunk-new-rules-set1/rules/20_body_tests.cf
A    trunk-new-rules-set1/build
A    trunk-new-rules-set1/build/mkupdates
A    trunk-new-rules-set1/rules/20_freemail_mailcom_domains.cf
A    trunk-new-rules-set1/rules/23_bayes.cf
A    trunk-new-rules-set1/rules/60_welcomelist_auth.cf
A    trunk-new-rules-set1/rules/v400.pre
A    trunk-new-rules-set1/rules/25_dmarc.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/v310.pre
A    trunk-new-rules-set1/rules/v312.pre
A    trunk-new-rules-set1/rules/v341.pre
A    trunk-new-rules-set1/rules/20_dnsbl_tests.cf
A    trunk-new-rules-set1/rules/20_vbounce.cf
A    trunk-new-rules-set1/rules/30_text_pl.cf
A    trunk-new-rules-set1/rules/60_shortcircuit.cf
A    trunk-new-rules-set1/rules/25_pyzor.cf
A    trunk-new-rules-set1/rules/20_freemail_domains.cf
A    trunk-new-rules-set1/rules/60_bayes_stopwords.cf
A    trunk-new-rules-set1/rules/73_sandbox_manual_scores.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/10_default_prefs.cf
A    trunk-new-rules-set1/rules/25_spf.cf
A    trunk-new-rules-set1/rules/60_txrep.cf
A    trunk-new-rules-set1/build/announcements
A    trunk-new-rules-set1/rules/20_imageinfo.cf
A    trunk-new-rules-set1/rules/20_advance_fee.cf
A    trunk-new-rules-set1/rules/STATISTICS-set2.txt
A    trunk-new-rules-set1/rules/v340.pre
A    trunk-new-rules-set1/rules/STATISTICS-set1.txt
A    trunk-new-rules-set1/rules/v330.pre
A    trunk-new-rules-set1/rules/v320.pre
A    trunk-new-rules-set1/rules/30_text_it.cf
A    trunk-new-rules-set1/rules/20_net_tests.cf
A    trunk-new-rules-set1/rules/svn_only.pre
A    trunk-new-rules-set1/rules/STATISTICS-set0.txt
A    trunk-new-rules-set1/rules/25_antivirus.cf
A    trunk-new-rules-set1/build/automc
A    trunk-new-rules-set1/rules/25_accessdb.cf
A    trunk-new-rules-set1/build/mkupdates/mkupdate-with-scores
A    trunk-new-rules-set1/rules/STATISTICS-set3.txt
A    trunk-new-rules-set1/rules/sa-update-pubkey.txt
A    trunk-new-rules-set1/rules/20_porn.cf
A    trunk-new-rules-set1/rules/25_textcat.cf
A    trunk-new-rules-set1/build/mkupdates/do-stable-update-with-scores
A    trunk-new-rules-set1/build/mkupdates/run_nightly
A    trunk-new-rules-set1/build/mkupdates/hash_existing_tarballs
A    trunk-new-rules-set1/build/mkupdates/mkupdate-with-scores-expedite
A    trunk-new-rules-set1/build/mkupdates/listpromotable
A    trunk-new-rules-set1/build/mkupdates/update-rules
A    trunk-new-rules-set1/build/mkupdates/revert-stable-update
A    trunk-new-rules-set1/build/mkupdates/do-stable-update-with-scores-update-build-dir
A    trunk-new-rules-set1/build/announcements/4.0.0.txt
A    trunk-new-rules-set1/build/mkupdates/update-rules-3.3
A    trunk-new-rules-set1/build/update_website_docs
A    trunk-new-rules-set1/build/announcements/3.4.6.txt
A    trunk-new-rules-set1/build/announcements/3.4.3.txt
A    trunk-new-rules-set1/build/old
A    trunk-new-rules-set1/build/announcements/3.4.5.txt
A    trunk-new-rules-set1/build/announcements/3.4.4.txt
A    trunk-new-rules-set1/build/announcements/3.3.0.txt
A    trunk-new-rules-set1/build/announcements/3.4.2.txt
A    trunk-new-rules-set1/build/announcements/3.4.1-rc1.txt
A    trunk-new-rules-set1/build/pga
A    trunk-new-rules-set1/build/pga/lib
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A    trunk-new-rules-set1/masses/evolve_metarule/README
A    trunk-new-rules-set1/masses/hit-frequencies
A    trunk-new-rules-set1/masses/fp-fn-statistics
A    trunk-new-rules-set1/masses/logs-to-c
A    trunk-new-rules-set1/masses/evolve_metarule/Makefile
A    trunk-new-rules-set1/masses/logdiff
A    trunk-new-rules-set1/masses/bayes-testing/benchmark/tests
A    trunk-new-rules-set1/masses/bayes-testing/benchmark/tests/db_file
A    trunk-new-rules-set1/masses/bayes-testing/benchmark/tests/db_file/site
A    trunk-new-rules-set1/masses/mass-check
A    trunk-new-rules-set1/masses/bayes-testing/benchmark/tests/mysql
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A    trunk-new-rules-set1/masses/post-ga-analysis.pl
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A    trunk-new-rules-set1/masses/bayes-testing/benchmark/tests/sdbm/site
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A    trunk-new-rules-set1/masses/tenpass/README
A    trunk-new-rules-set1/masses/bayes-testing/README
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A    trunk-new-rules-set1/masses/bayes-testing/graph-bayes-histogram
A    trunk-new-rules-set1/masses/bayes-testing/map-s-space/README
A    trunk-new-rules-set1/masses/bayes-testing/benchmark/helper/mysql/dbsize
A    trunk-new-rules-set1/masses/bayes-testing/benchmark/helper/db_file/cleardb
A    trunk-new-rules-set1/masses/bayes-testing/benchmark/helper/mysql/show_table_status.sql
A    trunk-new-rules-set1/masses/bayes-testing/benchmark/helper/db_file/setup
A    trunk-new-rules-set1/masses/bayes-testing/benchmark/helper/mysql/delete.sql
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A    trunk-new-rules-set1/masses/bayes-testing/benchmark/helper/pgsql/cleardb
A    trunk-new-rules-set1/masses/contrib
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A    trunk-new-rules-set1/masses/rule-dev/sought/example_backend/README
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A    trunk-new-rules-set1/masses/README.perceptron
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A    trunk-new-rules-set1/masses/README
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A    trunk-new-rules-set1/lm/lt.lm
A    trunk-new-rules-set1/lm/it.lm
A    trunk-new-rules-set1/lm/th.lm
A    trunk-new-rules-set1/lm/pt.lm
A    trunk-new-rules-set1/lm/eo.lm
A    trunk-new-rules-set1/procmailrc.example
A    trunk-new-rules-set1/lm/zh.big5.lm
A    trunk-new-rules-set1/lm/hr.us-ascii.lm
A    trunk-new-rules-set1/lm/es.lm
A    trunk-new-rules-set1/sample-nonspam.txt
A    trunk-new-rules-set1/sample-spam.txt
A    trunk-new-rules-set1/TRADEMARK
A    trunk-new-rules-set1/powered_by/powered_by_SpamAssassin-v2.psd
A    trunk-new-rules-set1/backend/nitemc/corpus.jm
A    trunk-new-rules-set1/backend/nitemc/run_all
A    trunk-new-rules-set1/backend/nitemc/clienthosts
A    trunk-new-rules-set1/backend/root/backup/rsync_spamassassin_to_spamassassin2
A    trunk-new-rules-set1/contrib/HOWTO.Bayes-Redis/readme.txt
A    trunk-new-rules-set1/contrib/mbox-to-check
A    trunk-new-rules-set1/rules-extras/README.txt
A    trunk-new-rules-set1/lm/inactive/mingo.lm
A    trunk-new-rules-set1/lm/inactive/middle-frisian.lm
A    trunk-new-rules-set1/lm/ko.lm
A    trunk-new-rules-set1/lm/zh.gb2312.lm
A    trunk-new-rules-set1/lm/sw.lm
A    trunk-new-rules-set1/lm/en.lm
A    trunk-new-rules-set1/lm/lv.lm
A    trunk-new-rules-set1/lm/ga.lm
A    trunk-new-rules-set1/lm/ka.lm
A    trunk-new-rules-set1/lm/am.utf-8.lm
A    trunk-new-rules-set1/lm/ta.lm
A    trunk-new-rules-set1/lm/hu.lm
A    trunk-new-rules-set1/lm/ja.iso-2022-jp.ln
A    trunk-new-rules-set1/lm/yi.utf-8.lm
A    trunk-new-rules-set1/lm/qu.lm
A    trunk-new-rules-set1/lm/id.lm
A    trunk-new-rules-set1/lm/ru.windows-1251.lm
A    trunk-new-rules-set1/lm/pl.lm
A    trunk-new-rules-set1/lm/tl.lm
A    trunk-new-rules-set1/lm/bs.lm
A    trunk-new-rules-set1/LICENSE
 U   trunk-new-rules-set1
Checked out revision 1908044.
+ 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/active.list
A    trunk-new-rules-set1/rules-base/sa-update-pubkey.txt
A    trunk-new-rules-set1/rules-base/30_text_pt_br.cf
A    trunk-new-rules-set1/rules-base/20_head_tests.cf
A    trunk-new-rules-set1/rules-base/20_meta_tests.cf
A    trunk-new-rules-set1/rules-base/20_vbounce.cf
A    trunk-new-rules-set1/rules-base/60_whitelist.cf
A    trunk-new-rules-set1/rules-base/25_dcc.cf
A    trunk-new-rules-set1/rules-base/50_scores.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_imageinfo.cf
A    trunk-new-rules-set1/rules-base/60_whitelist_spf.cf
A    trunk-new-rules-set1/rules-base/regression_tests.cf
A    trunk-new-rules-set1/rules-base/svn_only.pre
A    trunk-new-rules-set1/rules-base/30_text_it.cf
A    trunk-new-rules-set1/rules-base/20_compensate.cf
A    trunk-new-rules-set1/rules-base/20_advance_fee.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/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/60_whitelist_subject.cf
A    trunk-new-rules-set1/rules-base/25_accessdb.cf
A    trunk-new-rules-set1/rules-base/user_prefs.template
A    trunk-new-rules-set1/rules-base/25_hashcash.cf
A    trunk-new-rules-set1/rules-base/25_antivirus.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/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/20_drugs.cf
A    trunk-new-rules-set1/rules-base/20_porn.cf
A    trunk-new-rules-set1/rules-base/60_awl.cf
A    trunk-new-rules-set1/rules-base/25_textcat.cf
A    trunk-new-rules-set1/rules-base/languages
 U   trunk-new-rules-set1/rules-base
Checked out revision 1908105.
+ svn co http://svn.apache.org/repos/asf/spamassassin/trunk/rules trunk-new-rules-set1/rules-current
A    trunk-new-rules-set1/rules-current/25_dcc.cf
A    trunk-new-rules-set1/rules-current/active.list
A    trunk-new-rules-set1/rules-current/25_url_shortener.cf
A    trunk-new-rules-set1/rules-current/v343.pre
A    trunk-new-rules-set1/rules-current/20_mailspike.cf
A    trunk-new-rules-set1/rules-current/30_text_fr.cf
A    trunk-new-rules-set1/rules-current/60_awl.cf
A    trunk-new-rules-set1/rules-current/init.pre
A    trunk-new-rules-set1/rules-current/25_dkim.cf
A    trunk-new-rules-set1/rules-current/25_uribl.cf
A    trunk-new-rules-set1/rules-current/v342.pre
A    trunk-new-rules-set1/rules-current/30_text_de.cf
A    trunk-new-rules-set1/rules-current/25_razor2.cf
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/25_asn.cf
A    trunk-new-rules-set1/rules-current/20_phrases.cf
A    trunk-new-rules-set1/rules-current/30_text_pt_br.cf
A    trunk-new-rules-set1/rules-current/50_scores.cf
A    trunk-new-rules-set1/rules-current/local.cf
A    trunk-new-rules-set1/rules-current/60_welcomelist.cf
A    trunk-new-rules-set1/rules-current/20_meta_tests.cf
A    trunk-new-rules-set1/rules-current/20_compensate.cf
A    trunk-new-rules-set1/rules-current/20_head_tests.cf
A    trunk-new-rules-set1/rules-current/20_html_tests.cf
A    trunk-new-rules-set1/rules-current/20_pdfinfo.cf
A    trunk-new-rules-set1/rules-current/20_freemail.cf
A    trunk-new-rules-set1/rules-current/25_dnswl.cf
A    trunk-new-rules-set1/rules-current/regression_tests.cf
A    trunk-new-rules-set1/rules-current/languages
A    trunk-new-rules-set1/rules-current/20_fake_helo_tests.cf
A    trunk-new-rules-set1/rules-current/20_ratware.cf
A    trunk-new-rules-set1/rules-current/20_drugs.cf
A    trunk-new-rules-set1/rules-current/25_replace.cf
A    trunk-new-rules-set1/rules-current/20_body_tests.cf
A    trunk-new-rules-set1/rules-current/10_default_prefs.cf
A    trunk-new-rules-set1/rules-current/20_freemail_mailcom_domains.cf
A    trunk-new-rules-set1/rules-current/20_aux_tlds.cf
A    trunk-new-rules-set1/rules-current/60_welcomelist_auth.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_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/20_dnsbl_tests.cf
A    trunk-new-rules-set1/rules-current/20_vbounce.cf
A    trunk-new-rules-set1/rules-current/30_text_pl.cf
A    trunk-new-rules-set1/rules-current/60_shortcircuit.cf
A    trunk-new-rules-set1/rules-current/25_pyzor.cf
A    trunk-new-rules-set1/rules-current/20_freemail_domains.cf
A    trunk-new-rules-set1/rules-current/60_bayes_stopwords.cf
A    trunk-new-rules-set1/rules-current/73_sandbox_manual_scores.cf
A    trunk-new-rules-set1/rules-current/20_uri_tests.cf
A    trunk-new-rules-set1/rules-current/user_prefs.template
A    trunk-new-rules-set1/rules-current/30_text_nl.cf
A    trunk-new-rules-set1/rules-current/23_bayes.cf
A    trunk-new-rules-set1/rules-current/60_txrep.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/20_advance_fee.cf
A    trunk-new-rules-set1/rules-current/25_spf.cf
A    trunk-new-rules-set1/rules-current/v340.pre
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/25_accessdb.cf
A    trunk-new-rules-set1/rules-current/STATISTICS-set1.txt
A    trunk-new-rules-set1/rules-current/20_net_tests.cf
A    trunk-new-rules-set1/rules-current/20_porn.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/30_text_it.cf
A    trunk-new-rules-set1/rules-current/STATISTICS-set0.txt
A    trunk-new-rules-set1/rules-current/v330.pre
A    trunk-new-rules-set1/rules-current/svn_only.pre
A    trunk-new-rules-set1/rules-current/25_textcat.cf
A    trunk-new-rules-set1/rules-current/25_antivirus.cf
 U   trunk-new-rules-set1/rules-current
Checked out revision 1908105.
+ svn up -r 1908044 trunk-new-rules-set1/rulesrc/
Updating 'trunk-new-rules-set1/rulesrc':
At revision 1908044.
+ svn up trunk-new-rules-set1/masses/
Updating 'trunk-new-rules-set1/masses':
At revision 1908105.
+ svn up trunk-new-rules-set1/build/
Updating 'trunk-new-rules-set1/build':
At revision 1908105.
+ 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
Mon 06 Mar 2023 02:25:54 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 IP::Country::Fast module is not installed.

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


***************************************************************************
NOTE: the optional DBD::SQLite module is not installed,
minimum required version is 1.59.

  If you intend to use SpamAssassin with SQLite as the SQL database
  backend for the DBI module, this is the DBD driver required. Version 1.59_01
  or later is needed to provide SQLite 3.25.0 or later.


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

  Mail::DMARC is used by the optional DMARC plugin.

checking binary dependencies and their versions...
Warning: prerequisite Devel::Cycle 0 not found.
Warning: prerequisite Perl::Critic::Policy::Perlsecret 0 not found.
Warning: prerequisite Perl::Critic::Policy::TestingAndDebugging::ProhibitNoStrict 0 not found.
Warning: prerequisite Text::Diff 0 not found.

***************************************************************************
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: IP::Country::Fast
optional module missing: DBD::SQLite
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
Mon 06 Mar 2023 02:26:17 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-ena-week3.r1908044.log ../corpus/usable-corpus-set1/ham-net-ena-week4.r1908044.log ../corpus/usable-corpus-set1/ham-net-giovanni-ham.r1908044.log ../corpus/usable-corpus-set1/ham-net-giovanni-spammy.r1908044.log ../corpus/usable-corpus-set1/ham-net-giovanni-spam.r1908044.log ../corpus/usable-corpus-set1/ham-net-grenier.r1908044.log ../corpus/usable-corpus-set1/ham-net-hege.r1908044.log ../corpus/usable-corpus-set1/ham-net-llanga.r1908044.log ../corpus/usable-corpus-set1/ham-net-mmiroslaw-mails-ham.r1908044.log ../corpus/usable-corpus-set1/ham-net-mmiroslaw-mails-spam.r1908044.log ../corpus/usable-corpus-set1/ham-net-spamsponge.r1908044.log ../corpus/usable-corpus-set1/ham-net-thendrikx.r1908044.log ../corpus/usable-corpus-set1/ham-net-tsz-spam-corpus.r1908044.log
Month distribution:

   39345 ( 10%)     39345   0-1 months old
   87359 ( 23%)     48014   1-2 months old
  108091 ( 29%)     20732   2-3 months old
  134557 ( 36%)     26466   3-4 months old
  146577 ( 40%)     12020   4-5 months old
  190459 ( 52%)     43882   5-6 months old
  213475 ( 58%)     23016   6-7 months old
  214633 ( 58%)      1158   7-8 months old
  216425 ( 59%)      1792   8-9 months old
  219143 ( 59%)      2718   9-10 months old
  222757 ( 60%)      3614  10-11 months old
  225435 ( 61%)      2678  11-12 months old
  228093 ( 62%)      2658  12-13 months old
  230911 ( 63%)      2818  13-14 months old
  250189 ( 68%)     19278  14-15 months old
  253572 ( 69%)      3383  15-16 months old
  257295 ( 70%)      3723  16-17 months old
  260719 ( 71%)      3424  17-18 months old
  263708 ( 72%)      2989  18-19 months old
  266066 ( 72%)      2358  19-20 months old
  269125 ( 73%)      3059  20-21 months old
  272314 ( 74%)      3189  21-22 months old
  276772 ( 75%)      4458  22-23 months old
  278258 ( 76%)      1486  23-24 months old
  279670 ( 76%)      1412  24-25 months old
  281110 ( 76%)      1440  25-26 months old
  282186 ( 77%)      1076  26-27 months old
  283281 ( 77%)      1095  27-28 months old
  284497 ( 77%)      1216  28-29 months old
  285562 ( 78%)      1065  29-30 months old
  286515 ( 78%)       953  30-31 months old
  287485 ( 78%)       970  31-32 months old
  290566 ( 79%)      3081  32-33 months old
  293919 ( 80%)      3353  33-34 months old
  298014 ( 81%)      4095  34-35 months old
  301676 ( 82%)      3662  35-36 months old
  305531 ( 83%)      3855  36-37 months old
  308629 ( 84%)      3098  37-38 months old
  311061 ( 85%)      2432  38-39 months old
  314500 ( 86%)      3439  39-40 months old
  317677 ( 86%)      3177  40-41 months old
  321250 ( 87%)      3573  41-42 months old
  323986 ( 88%)      2736  42-43 months old
  326649 ( 89%)      2663  43-44 months old
  329436 ( 90%)      2787  44-45 months old
  332586 ( 90%)      3150  45-46 months old
  336309 ( 92%)      3723  46-47 months old
  340837 ( 93%)      4528  47-48 months old
  344501 ( 94%)      3664  48-49 months old
  347288 ( 95%)      2787  49-50 months old
  349891 ( 95%)      2603  50-51 months old
  352993 ( 96%)      3102  51-52 months old
  356568 ( 97%)      3575  52-53 months old
  360481 ( 98%)      3913  53-54 months old
  363580 ( 99%)      3099  54-55 months old
  363640 ( 99%)        60  55-56 months old
  363703 ( 99%)        63  56-57 months old
  363844 ( 99%)       141  57-58 months old
  363998 ( 99%)       154  58-59 months old
  364161 ( 99%)       163  59-60 months old
  364272 ( 99%)       111  60-61 months old
  364388 ( 99%)       116  61-62 months old
  364522 ( 99%)       134  62-63 months old
  364660 ( 99%)       138  63-64 months old
  364845 ( 99%)       185  64-65 months old
  364966 ( 99%)       121  65-66 months old
  365086 ( 99%)       120  66-67 months old
  365127 ( 99%)        41  67-68 months old
  365170 ( 99%)        43  68-69 months old
  365226 ( 99%)        56  69-70 months old
  365294 ( 99%)        68  70-71 months old
  365388 ( 99%)        94  71-72 months old
  365491 ( 99%)       103  72-73 months old
  365495 (100%)         4  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-ena-week3.r1908044.log ../corpus/usable-corpus-set1/spam-net-ena-week4.r1908044.log ../corpus/usable-corpus-set1/spam-net-giovanni-ham.r1908044.log ../corpus/usable-corpus-set1/spam-net-giovanni-spammy.r1908044.log ../corpus/usable-corpus-set1/spam-net-giovanni-spam.r1908044.log ../corpus/usable-corpus-set1/spam-net-grenier.r1908044.log ../corpus/usable-corpus-set1/spam-net-hege.r1908044.log ../corpus/usable-corpus-set1/spam-net-llanga.r1908044.log ../corpus/usable-corpus-set1/spam-net-mmiroslaw-mails-ham.r1908044.log ../corpus/usable-corpus-set1/spam-net-mmiroslaw-mails-spam.r1908044.log ../corpus/usable-corpus-set1/spam-net-spamsponge.r1908044.log ../corpus/usable-corpus-set1/spam-net-thendrikx.r1908044.log ../corpus/usable-corpus-set1/spam-net-tsz-spam-corpus.r1908044.log
Month distribution:

   52513 ( 57%)     52513   0-1 months old
   90707 ( 99%)     38194   1-2 months old
   90750 ( 99%)        43   2-3 months old
   90770 ( 99%)        20   3-4 months old
   90812 ( 99%)        42   4-5 months old
   90842 ( 99%)        30   5-6 months old
   90871 ( 99%)        29   6-7 months old
   90908 ( 99%)        37   7-8 months old
   90943 ( 99%)        35   8-9 months old
   90991 ( 99%)        48   9-10 months old
   91028 ( 99%)        37  10-11 months old
   91072 ( 99%)        44  11-12 months old
   91138 ( 99%)        66  12-13 months old
   91219 ( 99%)        81  13-14 months old
   91232 (100%)        13  14-15 months old
++ wc -l masses/ham-full.log
++ sed -e 's/^[ \t]*//'
++ cut '-d ' -f1
+ HAMCOUNT=365495
++ wc -l masses/spam-full.log
++ sed -e 's/^[ \t]*//'
++ cut '-d ' -f1
+ SPAMCOUNT=90770
+ echo ' HAM: 365495 (100000 required)'
 HAM: 365495 (100000 required)
+ echo 'SPAM: 90770 (80000 required)'
SPAM: 90770 (80000 required)
+ [[ 365495 -lt 100000 ]]
+ [[ 90770 -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
Mon 06 Mar 2023 02:26:35 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
Mon 06 Mar 2023 02:28:09 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
+ [ -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 [Cleaning up]
[Doing a scoreset 1 score-generation run]
+ 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]
[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
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]
[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
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]
[Setting up for gen run]
+ ln -s gen-set1-10-5.0-5500-ga/SPBASE/spam.log .
+ ln -s gen-set1-10-5.0-5500-ga/NSBASE/ham.log .
+ ln -s gen-set1-10-5.0-5500-ga/SPBASE/spam-test.log .
+ ln -s gen-set1-10-5.0-5500-ga/NSBASE/ham-test.log .
+ uname
+ ostype=Linux
+ [ Linux = FreeBSD ]
+ [ Linux = SunOS ]
+ cpucount
+ egrep -c ^processor\b /proc/cpuinfo
+ numcpus=6
+ [ 6 -le 0 ]
+ echo [Generating GA]
[Generating GA]
+ make -j 6 SCORESET=1 garescorer
+ cp freqs gen-set1-10-5.0-5500-ga/freqs
+ echo [config]
+ cat config
[config]
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
Mon 06 Mar 2023 02:29:27 AM UTC
+ time ./garescorer -b 10 -e 5500 -t 5.0
Read test results for 46571 messages (364749 total).
Read scores for 814 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: 39.472 iterations/s, iteration no. 50

# SUMMARY for threshold 5.0:
# Correctly non-spam: 289958  79.495%  (99.166% of non-spam corpus)
# Correctly spam:      49268  13.507%  (68.094% of spam corpus)
# False positives:      2438  0.668%  (0.834% of nonspam,  61705 weighted)
# False negatives:     23085  6.329%  (31.906% of spam,  41164 weighted)
# Average score for spam:  12.8    nonspam: -0.4
# Average for false-pos:   10.2  false-neg: 1.8
# TOTAL:              364749  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: 98.291 iterations/s, iteration no. 100

# SUMMARY for threshold 5.0:
# Correctly non-spam: 289994  79.505%  (99.179% of non-spam corpus)
# Correctly spam:      49384  13.539%  (68.254% of spam corpus)
# False positives:      2402  0.659%  (0.821% of nonspam,  60184 weighted)
# False negatives:     22969  6.297%  (31.746% of spam,  41303 weighted)
# Average score for spam:  12.7    nonspam: -0.2
# Average for false-pos:   10.1  false-neg: 1.8
# TOTAL:              364749  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: 63.187 iterations/s, iteration no. 150

# SUMMARY for threshold 5.0:
# Correctly non-spam: 289983  79.502%  (99.175% of non-spam corpus)
# Correctly spam:      49368  13.535%  (68.232% of spam corpus)
# False positives:      2413  0.662%  (0.825% of nonspam,  59297 weighted)
# False negatives:     22985  6.302%  (31.768% of spam,  41553 weighted)
# Average score for spam:  12.0    nonspam: -0.1
# Average for false-pos:   9.9  false-neg: 1.8
# TOTAL:              364749  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: 45.575 iterations/s, iteration no. 200

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290004  79.508%  (99.182% of non-spam corpus)
# Correctly spam:      49378  13.538%  (68.246% of spam corpus)
# False positives:      2392  0.656%  (0.818% of nonspam,  58564 weighted)
# False negatives:     22975  6.299%  (31.754% of spam,  41675 weighted)
# Average score for spam:  11.7    nonspam: -0.1
# Average for false-pos:   9.9  false-neg: 1.8
# TOTAL:              364749  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: 125.246 iterations/s, iteration no. 250

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290006  79.508%  (99.183% of non-spam corpus)
# Correctly spam:      49434  13.553%  (68.323% of spam corpus)
# False positives:      2390  0.655%  (0.817% of nonspam,  58232 weighted)
# False negatives:     22919  6.283%  (31.677% of spam,  41524 weighted)
# Average score for spam:  11.2    nonspam: -0.1
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  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: 68.515 iterations/s, iteration no. 300

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290009  79.509%  (99.184% of non-spam corpus)
# Correctly spam:      49487  13.567%  (68.397% of spam corpus)
# False positives:      2387  0.654%  (0.816% of nonspam,  57987 weighted)
# False negatives:     22866  6.269%  (31.603% of spam,  41409 weighted)
# Average score for spam:  10.9    nonspam: -0.1
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

Iter #     Field      Value
300        Best       1.013584e+05
           Average    1.014166e+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: 43.808 iterations/s, iteration no. 350

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290005  79.508%  (99.182% of non-spam corpus)
# Correctly spam:      49489  13.568%  (68.399% of spam corpus)
# False positives:      2391  0.656%  (0.818% of nonspam,  57919 weighted)
# False negatives:     22864  6.268%  (31.601% of spam,  41496 weighted)
# Average score for spam:  10.8    nonspam: -0.1
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  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: 89.687 iterations/s, iteration no. 400

# SUMMARY for threshold 5.0:
# Correctly non-spam: 289956  79.495%  (99.166% of non-spam corpus)
# Correctly spam:      49513  13.575%  (68.433% of spam corpus)
# False positives:      2440  0.669%  (0.834% of nonspam,  58489 weighted)
# False negatives:     22840  6.262%  (31.567% of spam,  41459 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.7  false-neg: 1.8
# TOTAL:              364749  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: 53.247 iterations/s, iteration no. 450

# SUMMARY for threshold 5.0:
# Correctly non-spam: 289956  79.495%  (99.166% of non-spam corpus)
# Correctly spam:      49593  13.596%  (68.543% of spam corpus)
# False positives:      2440  0.669%  (0.834% of nonspam,  58481 weighted)
# False negatives:     22760  6.240%  (31.457% of spam,  41171 weighted)
# Average score for spam:  10.8    nonspam: -0.0
# Average for false-pos:   9.7  false-neg: 1.8
# TOTAL:              364749  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: 36.554 iterations/s, iteration no. 500

# SUMMARY for threshold 5.0:
# Correctly non-spam: 289925  79.486%  (99.155% of non-spam corpus)
# Correctly spam:      49634  13.608%  (68.600% of spam corpus)
# False positives:      2471  0.677%  (0.845% of nonspam,  58872 weighted)
# False negatives:     22719  6.229%  (31.400% of spam,  41055 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.6  false-neg: 1.8
# TOTAL:              364749  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: 73.406 iterations/s, iteration no. 550

# SUMMARY for threshold 5.0:
# Correctly non-spam: 289924  79.486%  (99.155% of non-spam corpus)
# Correctly spam:      49648  13.612%  (68.619% of spam corpus)
# False positives:      2472  0.678%  (0.845% of nonspam,  58862 weighted)
# False negatives:     22705  6.225%  (31.381% of spam,  41009 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.6  false-neg: 1.8
# TOTAL:              364749  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: 52.420 iterations/s, iteration no. 600

# SUMMARY for threshold 5.0:
# Correctly non-spam: 289925  79.486%  (99.155% of non-spam corpus)
# Correctly spam:      49601  13.599%  (68.554% of spam corpus)
# False positives:      2471  0.677%  (0.845% of nonspam,  58850 weighted)
# False negatives:     22752  6.238%  (31.446% of spam,  41274 weighted)
# Average score for spam:  10.6    nonspam: -0.0
# Average for false-pos:   9.6  false-neg: 1.8
# TOTAL:              364749  100.00%

Iter #     Field      Value
600        Best       1.007622e+05
           Average    1.007699e+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: 39.073 iterations/s, iteration no. 650

# SUMMARY for threshold 5.0:
# Correctly non-spam: 289930  79.488%  (99.157% of non-spam corpus)
# Correctly spam:      49591  13.596%  (68.540% of spam corpus)
# False positives:      2466  0.676%  (0.843% of nonspam,  58769 weighted)
# False negatives:     22762  6.240%  (31.460% of spam,  41328 weighted)
# Average score for spam:  10.6    nonspam: -0.0
# Average for false-pos:   9.6  false-neg: 1.8
# TOTAL:              364749  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: 89.416 iterations/s, iteration no. 700

# SUMMARY for threshold 5.0:
# Correctly non-spam: 289932  79.488%  (99.157% of non-spam corpus)
# Correctly spam:      49628  13.606%  (68.591% of spam corpus)
# False positives:      2464  0.676%  (0.843% of nonspam,  58734 weighted)
# False negatives:     22725  6.230%  (31.409% of spam,  41150 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.6  false-neg: 1.8
# TOTAL:              364749  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: 58.863 iterations/s, iteration no. 750

# SUMMARY for threshold 5.0:
# Correctly non-spam: 289983  79.502%  (99.175% of non-spam corpus)
# Correctly spam:      49647  13.611%  (68.618% of spam corpus)
# False positives:      2413  0.662%  (0.825% of nonspam,  58097 weighted)
# False negatives:     22706  6.225%  (31.382% of spam,  41061 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.7  false-neg: 1.8
# TOTAL:              364749  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: 43.965 iterations/s, iteration no. 800

# SUMMARY for threshold 5.0:
# Correctly non-spam: 289986  79.503%  (99.176% of non-spam corpus)
# Correctly spam:      49647  13.611%  (68.618% of spam corpus)
# False positives:      2410  0.661%  (0.824% of nonspam,  58061 weighted)
# False negatives:     22706  6.225%  (31.382% of spam,  41071 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.7  false-neg: 1.8
# TOTAL:              364749  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: 117.165 iterations/s, iteration no. 850

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290005  79.508%  (99.182% of non-spam corpus)
# Correctly spam:      49643  13.610%  (68.612% of spam corpus)
# False positives:      2391  0.656%  (0.818% of nonspam,  57814 weighted)
# False negatives:     22710  6.226%  (31.388% of spam,  41084 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  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: 70.283 iterations/s, iteration no. 900

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290005  79.508%  (99.182% of non-spam corpus)
# Correctly spam:      49646  13.611%  (68.616% of spam corpus)
# False positives:      2391  0.656%  (0.818% of nonspam,  57816 weighted)
# False negatives:     22707  6.225%  (31.384% of spam,  41074 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

Iter #     Field      Value
900        Best       1.006946e+05
           Average    1.007054e+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: 49.830 iterations/s, iteration no. 950

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290007  79.509%  (99.183% of non-spam corpus)
# Correctly spam:      49633  13.607%  (68.598% of spam corpus)
# False positives:      2389  0.655%  (0.817% of nonspam,  57789 weighted)
# False negatives:     22720  6.229%  (31.402% of spam,  41138 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  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: 38.550 iterations/s, iteration no. 1000

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290004  79.508%  (99.182% of non-spam corpus)
# Correctly spam:      49631  13.607%  (68.596% of spam corpus)
# False positives:      2392  0.656%  (0.818% of nonspam,  57822 weighted)
# False negatives:     22722  6.229%  (31.404% of spam,  41145 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  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: 90.380 iterations/s, iteration no. 1050

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290004  79.508%  (99.182% of non-spam corpus)
# Correctly spam:      49639  13.609%  (68.607% of spam corpus)
# False positives:      2392  0.656%  (0.818% of nonspam,  57821 weighted)
# False negatives:     22714  6.227%  (31.393% of spam,  41105 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  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: 62.504 iterations/s, iteration no. 1100

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290005  79.508%  (99.182% of non-spam corpus)
# Correctly spam:      49641  13.610%  (68.609% of spam corpus)
# False positives:      2391  0.656%  (0.818% of nonspam,  57808 weighted)
# False negatives:     22712  6.227%  (31.391% of spam,  41095 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  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: 48.512 iterations/s, iteration no. 1150

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290005  79.508%  (99.182% of non-spam corpus)
# Correctly spam:      49638  13.609%  (68.605% of spam corpus)
# False positives:      2391  0.656%  (0.818% of nonspam,  57807 weighted)
# False negatives:     22715  6.228%  (31.395% of spam,  41109 weighted)
# Average score for spam:  10.6    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  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: 37.357 iterations/s, iteration no. 1200

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290005  79.508%  (99.182% of non-spam corpus)
# Correctly spam:      49639  13.609%  (68.607% of spam corpus)
# False positives:      2391  0.656%  (0.818% of nonspam,  57807 weighted)
# False negatives:     22714  6.227%  (31.393% of spam,  41105 weighted)
# Average score for spam:  10.6    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

Iter #     Field      Value
1200       Best       1.006895e+05
           Average    1.006956e+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: 82.564 iterations/s, iteration no. 1250

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290005  79.508%  (99.182% of non-spam corpus)
# Correctly spam:      49633  13.607%  (68.598% of spam corpus)
# False positives:      2391  0.656%  (0.818% of nonspam,  57807 weighted)
# False negatives:     22720  6.229%  (31.402% of spam,  41135 weighted)
# Average score for spam:  10.6    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  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: 52.336 iterations/s, iteration no. 1300

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290005  79.508%  (99.182% of non-spam corpus)
# Correctly spam:      49636  13.608%  (68.603% of spam corpus)
# False positives:      2391  0.656%  (0.818% of nonspam,  57808 weighted)
# False negatives:     22717  6.228%  (31.397% of spam,  41122 weighted)
# Average score for spam:  10.6    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  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: 40.315 iterations/s, iteration no. 1350

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290005  79.508%  (99.182% of non-spam corpus)
# Correctly spam:      49635  13.608%  (68.601% of spam corpus)
# False positives:      2391  0.656%  (0.818% of nonspam,  57808 weighted)
# False negatives:     22718  6.228%  (31.399% of spam,  41127 weighted)
# Average score for spam:  10.6    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  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: 108.282 iterations/s, iteration no. 1400

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290005  79.508%  (99.182% of non-spam corpus)
# Correctly spam:      49636  13.608%  (68.603% of spam corpus)
# False positives:      2391  0.656%  (0.818% of nonspam,  57808 weighted)
# False negatives:     22717  6.228%  (31.397% of spam,  41122 weighted)
# Average score for spam:  10.6    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  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: 69.706 iterations/s, iteration no. 1450

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290005  79.508%  (99.182% of non-spam corpus)
# Correctly spam:      49633  13.607%  (68.598% of spam corpus)
# False positives:      2391  0.656%  (0.818% of nonspam,  57807 weighted)
# False negatives:     22720  6.229%  (31.402% of spam,  41136 weighted)
# Average score for spam:  10.6    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  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: 53.314 iterations/s, iteration no. 1500

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290005  79.508%  (99.182% of non-spam corpus)
# Correctly spam:      49636  13.608%  (68.603% of spam corpus)
# False positives:      2391  0.656%  (0.818% of nonspam,  57809 weighted)
# False negatives:     22717  6.228%  (31.397% of spam,  41123 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

Iter #     Field      Value
1500       Best       1.006883e+05
           Average    1.006944e+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: 42.635 iterations/s, iteration no. 1550

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290008  79.509%  (99.183% of non-spam corpus)
# Correctly spam:      49636  13.608%  (68.603% of spam corpus)
# False positives:      2388  0.655%  (0.817% of nonspam,  57772 weighted)
# False negatives:     22717  6.228%  (31.397% of spam,  41123 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 961 2752 0 0 0
Adapt (over, cross, repeat): 1 0 2235
Performance: 19.786 iterations/s, iteration no. 1600

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290008  79.509%  (99.183% of non-spam corpus)
# Correctly spam:      49636  13.608%  (68.603% of spam corpus)
# False positives:      2388  0.655%  (0.817% of nonspam,  57772 weighted)
# False negatives:     22717  6.228%  (31.397% of spam,  41123 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1249 9154 0 0 0
Adapt (over, cross, repeat): 6 1 8481
Performance: 7.365 iterations/s, iteration no. 1650

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290007  79.509%  (99.183% of non-spam corpus)
# Correctly spam:      49636  13.608%  (68.603% of spam corpus)
# False positives:      2389  0.655%  (0.817% of nonspam,  57784 weighted)
# False negatives:     22717  6.228%  (31.397% of spam,  41123 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1361 3152 0 0 0
Adapt (over, cross, repeat): 2 1 2422
Performance: 14.027 iterations/s, iteration no. 1700

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290031  79.515%  (99.191% of non-spam corpus)
# Correctly spam:      49636  13.608%  (68.603% of spam corpus)
# False positives:      2365  0.648%  (0.809% of nonspam,  57487 weighted)
# False negatives:     22717  6.228%  (31.397% of spam,  41123 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1253 5302 0 0 0
Adapt (over, cross, repeat): 2 1 4622
Performance: 10.862 iterations/s, iteration no. 1750

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290031  79.515%  (99.191% of non-spam corpus)
# Correctly spam:      49636  13.608%  (68.603% of spam corpus)
# False positives:      2365  0.648%  (0.809% of nonspam,  57487 weighted)
# False negatives:     22717  6.228%  (31.397% of spam,  41123 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1323 6024 0 0 0
Adapt (over, cross, repeat): 3 4 5305
Performance: 9.962 iterations/s, iteration no. 1800

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290031  79.515%  (99.191% of non-spam corpus)
# Correctly spam:      49636  13.608%  (68.603% of spam corpus)
# False positives:      2365  0.648%  (0.809% of nonspam,  57487 weighted)
# False negatives:     22717  6.228%  (31.397% of spam,  41123 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

Iter #     Field      Value
1800       Best       1.006880e+05
           Average    1.006940e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1323 2836 0 0 0
Adapt (over, cross, repeat): 2 15 2112
Performance: 13.752 iterations/s, iteration no. 1850

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290031  79.515%  (99.191% of non-spam corpus)
# Correctly spam:      49630  13.607%  (68.594% of spam corpus)
# False positives:      2365  0.648%  (0.809% of nonspam,  57486 weighted)
# False negatives:     22723  6.230%  (31.406% of spam,  41153 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1350 2469 0 0 0
Adapt (over, cross, repeat): 0 7 1719
Performance: 16.587 iterations/s, iteration no. 1900

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290031  79.515%  (99.191% of non-spam corpus)
# Correctly spam:      49627  13.606%  (68.590% of spam corpus)
# False positives:      2365  0.648%  (0.809% of nonspam,  57486 weighted)
# False negatives:     22726  6.231%  (31.410% of spam,  41168 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1237 4285 0 0 0
Adapt (over, cross, repeat): 6 0 3610
Performance: 11.304 iterations/s, iteration no. 1950

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290031  79.515%  (99.191% of non-spam corpus)
# Correctly spam:      49628  13.606%  (68.591% of spam corpus)
# False positives:      2365  0.648%  (0.809% of nonspam,  57486 weighted)
# False negatives:     22725  6.230%  (31.409% of spam,  41164 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1330 5256 0 0 0
Adapt (over, cross, repeat): 3 0 4525
Performance: 11.435 iterations/s, iteration no. 2000

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290031  79.515%  (99.191% of non-spam corpus)
# Correctly spam:      49627  13.606%  (68.590% of spam corpus)
# False positives:      2365  0.648%  (0.809% of nonspam,  57486 weighted)
# False negatives:     22726  6.231%  (31.410% of spam,  41168 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1338 3130 0 0 0
Adapt (over, cross, repeat): 3 1 2390
Performance: 16.515 iterations/s, iteration no. 2050

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290031  79.515%  (99.191% of non-spam corpus)
# Correctly spam:      49627  13.606%  (68.590% of spam corpus)
# False positives:      2365  0.648%  (0.809% of nonspam,  57486 weighted)
# False negatives:     22726  6.231%  (31.410% of spam,  41168 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1284 5741 0 0 0
Adapt (over, cross, repeat): 3 2 5041
Performance: 9.525 iterations/s, iteration no. 2100

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290031  79.515%  (99.191% of non-spam corpus)
# Correctly spam:      49627  13.606%  (68.590% of spam corpus)
# False positives:      2365  0.648%  (0.809% of nonspam,  57486 weighted)
# False negatives:     22726  6.231%  (31.410% of spam,  41168 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

Iter #     Field      Value
2100       Best       1.006868e+05
           Average    1.006915e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1325 3831 0 0 0
Adapt (over, cross, repeat): 0 4 3104
Performance: 14.899 iterations/s, iteration no. 2150

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290031  79.515%  (99.191% of non-spam corpus)
# Correctly spam:      49629  13.606%  (68.593% of spam corpus)
# False positives:      2365  0.648%  (0.809% of nonspam,  57486 weighted)
# False negatives:     22724  6.230%  (31.407% of spam,  41159 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1280 2509 0 0 0
Adapt (over, cross, repeat): 1 7 1806
Performance: 18.140 iterations/s, iteration no. 2200

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290031  79.515%  (99.191% of non-spam corpus)
# Correctly spam:      49626  13.606%  (68.589% of spam corpus)
# False positives:      2365  0.648%  (0.809% of nonspam,  57486 weighted)
# False negatives:     22727  6.231%  (31.411% of spam,  41173 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1295 1309 0 0 0
Adapt (over, cross, repeat): 3 12 579
Performance: 20.992 iterations/s, iteration no. 2250

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290031  79.515%  (99.191% of non-spam corpus)
# Correctly spam:      49624  13.605%  (68.586% of spam corpus)
# False positives:      2365  0.648%  (0.809% of nonspam,  57486 weighted)
# False negatives:     22729  6.231%  (31.414% of spam,  41183 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1305 2465 0 0 0
Adapt (over, cross, repeat): 1 1 1745
Performance: 18.675 iterations/s, iteration no. 2300

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290032  79.516%  (99.192% of non-spam corpus)
# Correctly spam:      49624  13.605%  (68.586% of spam corpus)
# False positives:      2364  0.648%  (0.808% of nonspam,  57474 weighted)
# False negatives:     22729  6.231%  (31.414% of spam,  41183 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1334 2315 0 0 0
Adapt (over, cross, repeat): 4 0 1573
Performance: 17.489 iterations/s, iteration no. 2350

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290032  79.516%  (99.192% of non-spam corpus)
# Correctly spam:      49624  13.605%  (68.586% of spam corpus)
# False positives:      2364  0.648%  (0.808% of nonspam,  57474 weighted)
# False negatives:     22729  6.231%  (31.414% of spam,  41183 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1259 2095 0 0 0
Adapt (over, cross, repeat): 1 4 1400
Performance: 17.009 iterations/s, iteration no. 2400

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290032  79.516%  (99.192% of non-spam corpus)
# Correctly spam:      49624  13.605%  (68.586% of spam corpus)
# False positives:      2364  0.648%  (0.808% of nonspam,  57474 weighted)
# False negatives:     22729  6.231%  (31.414% of spam,  41183 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

Iter #     Field      Value
2400       Best       1.006867e+05
           Average    1.006931e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1269 3603 0 0 0
Adapt (over, cross, repeat): 2 1 2898
Performance: 12.755 iterations/s, iteration no. 2450

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290032  79.516%  (99.192% of non-spam corpus)
# Correctly spam:      49624  13.605%  (68.586% of spam corpus)
# False positives:      2364  0.648%  (0.808% of nonspam,  57474 weighted)
# False negatives:     22729  6.231%  (31.414% of spam,  41183 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1237 2891 0 0 0
Adapt (over, cross, repeat): 2 1 2190
Performance: 14.587 iterations/s, iteration no. 2500

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290032  79.516%  (99.192% of non-spam corpus)
# Correctly spam:      49624  13.605%  (68.586% of spam corpus)
# False positives:      2364  0.648%  (0.808% of nonspam,  57474 weighted)
# False negatives:     22729  6.231%  (31.414% of spam,  41183 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1209 2992 0 0 0
Adapt (over, cross, repeat): 1 6 2307
Performance: 16.556 iterations/s, iteration no. 2550

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290018  79.512%  (99.187% of non-spam corpus)
# Correctly spam:      49624  13.605%  (68.586% of spam corpus)
# False positives:      2378  0.652%  (0.813% of nonspam,  57647 weighted)
# False negatives:     22729  6.231%  (31.414% of spam,  41188 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1259 5088 0 0 0
Adapt (over, cross, repeat): 1 0 4380
Performance: 10.267 iterations/s, iteration no. 2600

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290018  79.512%  (99.187% of non-spam corpus)
# Correctly spam:      49624  13.605%  (68.586% of spam corpus)
# False positives:      2378  0.652%  (0.813% of nonspam,  57647 weighted)
# False negatives:     22729  6.231%  (31.414% of spam,  41188 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1283 3178 0 0 0
Adapt (over, cross, repeat): 1 4 2449
Performance: 14.114 iterations/s, iteration no. 2650

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290018  79.512%  (99.187% of non-spam corpus)
# Correctly spam:      49624  13.605%  (68.586% of spam corpus)
# False positives:      2378  0.652%  (0.813% of nonspam,  57647 weighted)
# False negatives:     22729  6.231%  (31.414% of spam,  41188 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1247 2744 0 0 0
Adapt (over, cross, repeat): 2 0 2038
Performance: 16.865 iterations/s, iteration no. 2700

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290018  79.512%  (99.187% of non-spam corpus)
# Correctly spam:      49624  13.605%  (68.586% of spam corpus)
# False positives:      2378  0.652%  (0.813% of nonspam,  57647 weighted)
# False negatives:     22729  6.231%  (31.414% of spam,  41188 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

Iter #     Field      Value
2700       Best       1.006831e+05
           Average    1.006939e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1156 2636 0 0 0
Adapt (over, cross, repeat): 1 3 1989
Performance: 15.023 iterations/s, iteration no. 2750

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290018  79.512%  (99.187% of non-spam corpus)
# Correctly spam:      49623  13.605%  (68.585% of spam corpus)
# False positives:      2378  0.652%  (0.813% of nonspam,  57647 weighted)
# False negatives:     22730  6.232%  (31.415% of spam,  41193 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1265 1158 0 0 0
Adapt (over, cross, repeat): 1 1 448
Performance: 27.044 iterations/s, iteration no. 2800

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290018  79.512%  (99.187% of non-spam corpus)
# Correctly spam:      49626  13.606%  (68.589% of spam corpus)
# False positives:      2378  0.652%  (0.813% of nonspam,  57647 weighted)
# False negatives:     22727  6.231%  (31.411% of spam,  41178 weighted)
# Average score for spam:  10.8    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1280 3888 0 0 0
Adapt (over, cross, repeat): 4 0 3176
Performance: 12.576 iterations/s, iteration no. 2850

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290018  79.512%  (99.187% of non-spam corpus)
# Correctly spam:      49626  13.606%  (68.589% of spam corpus)
# False positives:      2378  0.652%  (0.813% of nonspam,  57647 weighted)
# False negatives:     22727  6.231%  (31.411% of spam,  41177 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1284 728 0 0 0
Adapt (over, cross, repeat): 0 1 0
Performance: 22.315 iterations/s, iteration no. 2900

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290018  79.512%  (99.187% of non-spam corpus)
# Correctly spam:      49626  13.606%  (68.589% of spam corpus)
# False positives:      2378  0.652%  (0.813% of nonspam,  57647 weighted)
# False negatives:     22727  6.231%  (31.411% of spam,  41177 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1202 1690 0 0 0
Adapt (over, cross, repeat): 2 2 1011
Performance: 24.352 iterations/s, iteration no. 2950

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290018  79.512%  (99.187% of non-spam corpus)
# Correctly spam:      49626  13.606%  (68.589% of spam corpus)
# False positives:      2378  0.652%  (0.813% of nonspam,  57647 weighted)
# False negatives:     22727  6.231%  (31.411% of spam,  41177 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1226 3141 0 0 0
Adapt (over, cross, repeat): 0 1 2442
Performance: 13.594 iterations/s, iteration no. 3000

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290018  79.512%  (99.187% of non-spam corpus)
# Correctly spam:      49626  13.606%  (68.589% of spam corpus)
# False positives:      2378  0.652%  (0.813% of nonspam,  57647 weighted)
# False negatives:     22727  6.231%  (31.411% of spam,  41177 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

Iter #     Field      Value
3000       Best       1.006830e+05
           Average    1.006893e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1313 2394 0 0 0
Adapt (over, cross, repeat): 1 0 1637
Performance: 17.038 iterations/s, iteration no. 3050

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290018  79.512%  (99.187% of non-spam corpus)
# Correctly spam:      49625  13.605%  (68.587% of spam corpus)
# False positives:      2378  0.652%  (0.813% of nonspam,  57647 weighted)
# False negatives:     22728  6.231%  (31.413% of spam,  41182 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1187 2754 0 0 0
Adapt (over, cross, repeat): 0 0 2075
Performance: 14.963 iterations/s, iteration no. 3100

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290017  79.511%  (99.186% of non-spam corpus)
# Correctly spam:      49625  13.605%  (68.587% of spam corpus)
# False positives:      2379  0.652%  (0.814% of nonspam,  57659 weighted)
# False negatives:     22728  6.231%  (31.413% of spam,  41182 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1239 2594 0 0 0
Adapt (over, cross, repeat): 0 0 1894
Performance: 18.545 iterations/s, iteration no. 3150

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290017  79.511%  (99.186% of non-spam corpus)
# Correctly spam:      49625  13.605%  (68.587% of spam corpus)
# False positives:      2379  0.652%  (0.814% of nonspam,  57659 weighted)
# False negatives:     22728  6.231%  (31.413% of spam,  41182 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1214 5760 0 0 0
Adapt (over, cross, repeat): 3 3 5051
Performance: 10.612 iterations/s, iteration no. 3200

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290017  79.511%  (99.186% of non-spam corpus)
# Correctly spam:      49625  13.605%  (68.587% of spam corpus)
# False positives:      2379  0.652%  (0.814% of nonspam,  57659 weighted)
# False negatives:     22728  6.231%  (31.413% of spam,  41182 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1279 2780 0 0 0
Adapt (over, cross, repeat): 2 0 2038
Performance: 16.047 iterations/s, iteration no. 3250

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290017  79.511%  (99.186% of non-spam corpus)
# Correctly spam:      49625  13.605%  (68.587% of spam corpus)
# False positives:      2379  0.652%  (0.814% of nonspam,  57659 weighted)
# False negatives:     22728  6.231%  (31.413% of spam,  41182 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1301 2982 0 0 0
Adapt (over, cross, repeat): 0 4 2237
Performance: 18.896 iterations/s, iteration no. 3300

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290017  79.511%  (99.186% of non-spam corpus)
# Correctly spam:      49625  13.605%  (68.587% of spam corpus)
# False positives:      2379  0.652%  (0.814% of nonspam,  57659 weighted)
# False negatives:     22728  6.231%  (31.413% of spam,  41182 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

Iter #     Field      Value
3300       Best       1.006829e+05
           Average    1.006935e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1185 5310 0 0 0
Adapt (over, cross, repeat): 3 8 4617
Performance: 11.118 iterations/s, iteration no. 3350

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290017  79.511%  (99.186% of non-spam corpus)
# Correctly spam:      49625  13.605%  (68.587% of spam corpus)
# False positives:      2379  0.652%  (0.814% of nonspam,  57659 weighted)
# False negatives:     22728  6.231%  (31.413% of spam,  41182 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1247 4488 0 0 0
Adapt (over, cross, repeat): 2 5 3767
Performance: 13.012 iterations/s, iteration no. 3400

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290017  79.511%  (99.186% of non-spam corpus)
# Correctly spam:      49625  13.605%  (68.587% of spam corpus)
# False positives:      2379  0.652%  (0.814% of nonspam,  57659 weighted)
# False negatives:     22728  6.231%  (31.413% of spam,  41182 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1236 2666 0 0 0
Adapt (over, cross, repeat): 3 2 1941
Performance: 16.115 iterations/s, iteration no. 3450

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290017  79.511%  (99.186% of non-spam corpus)
# Correctly spam:      49625  13.605%  (68.587% of spam corpus)
# False positives:      2379  0.652%  (0.814% of nonspam,  57659 weighted)
# False negatives:     22728  6.231%  (31.413% of spam,  41182 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1310 3323 0 0 0
Adapt (over, cross, repeat): 2 4 2573
Performance: 17.621 iterations/s, iteration no. 3500

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290018  79.512%  (99.187% of non-spam corpus)
# Correctly spam:      49623  13.605%  (68.585% of spam corpus)
# False positives:      2378  0.652%  (0.813% of nonspam,  57647 weighted)
# False negatives:     22730  6.232%  (31.415% of spam,  41192 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1178 5709 0 0 0
Adapt (over, cross, repeat): 5 2 5021
Performance: 10.145 iterations/s, iteration no. 3550

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290018  79.512%  (99.187% of non-spam corpus)
# Correctly spam:      49629  13.606%  (68.593% of spam corpus)
# False positives:      2378  0.652%  (0.813% of nonspam,  57647 weighted)
# False negatives:     22724  6.230%  (31.407% of spam,  41163 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1283 2929 0 0 0
Adapt (over, cross, repeat): 2 2 2183
Performance: 14.722 iterations/s, iteration no. 3600

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290018  79.512%  (99.187% of non-spam corpus)
# Correctly spam:      49629  13.606%  (68.593% of spam corpus)
# False positives:      2378  0.652%  (0.813% of nonspam,  57647 weighted)
# False negatives:     22724  6.230%  (31.407% of spam,  41163 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

Iter #     Field      Value
3600       Best       1.006826e+05
           Average    1.007129e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1195 3442 0 0 0
Adapt (over, cross, repeat): 5 0 2742
Performance: 15.996 iterations/s, iteration no. 3650

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290018  79.512%  (99.187% of non-spam corpus)
# Correctly spam:      49629  13.606%  (68.593% of spam corpus)
# False positives:      2378  0.652%  (0.813% of nonspam,  57647 weighted)
# False negatives:     22724  6.230%  (31.407% of spam,  41163 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1238 1237 0 0 0
Adapt (over, cross, repeat): 1 1 512
Performance: 31.676 iterations/s, iteration no. 3700

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290018  79.512%  (99.187% of non-spam corpus)
# Correctly spam:      49629  13.606%  (68.593% of spam corpus)
# False positives:      2378  0.652%  (0.813% of nonspam,  57646 weighted)
# False negatives:     22724  6.230%  (31.407% of spam,  41163 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1248 3445 0 0 0
Adapt (over, cross, repeat): 0 0 2720
Performance: 14.948 iterations/s, iteration no. 3750

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290018  79.512%  (99.187% of non-spam corpus)
# Correctly spam:      49629  13.606%  (68.593% of spam corpus)
# False positives:      2378  0.652%  (0.813% of nonspam,  57646 weighted)
# False negatives:     22724  6.230%  (31.407% of spam,  41163 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1257 6804 0 0 0
Adapt (over, cross, repeat): 2 0 6075
Performance: 9.711 iterations/s, iteration no. 3800

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290018  79.512%  (99.187% of non-spam corpus)
# Correctly spam:      49629  13.606%  (68.593% of spam corpus)
# False positives:      2378  0.652%  (0.813% of nonspam,  57646 weighted)
# False negatives:     22724  6.230%  (31.407% of spam,  41163 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1195 5095 0 0 0
Adapt (over, cross, repeat): 2 6 4396
Performance: 12.785 iterations/s, iteration no. 3850

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290018  79.512%  (99.187% of non-spam corpus)
# Correctly spam:      49629  13.606%  (68.593% of spam corpus)
# False positives:      2378  0.652%  (0.813% of nonspam,  57646 weighted)
# False negatives:     22724  6.230%  (31.407% of spam,  41163 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1298 2108 0 0 0
Adapt (over, cross, repeat): 2 2 1356
Performance: 16.904 iterations/s, iteration no. 3900

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290018  79.512%  (99.187% of non-spam corpus)
# Correctly spam:      49629  13.606%  (68.593% of spam corpus)
# False positives:      2378  0.652%  (0.813% of nonspam,  57646 weighted)
# False negatives:     22724  6.230%  (31.407% of spam,  41163 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

Iter #     Field      Value
3900       Best       1.006815e+05
           Average    1.006835e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1255 5048 0 0 0
Adapt (over, cross, repeat): 6 0 4317
Performance: 10.645 iterations/s, iteration no. 3950

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290018  79.512%  (99.187% of non-spam corpus)
# Correctly spam:      49629  13.606%  (68.593% of spam corpus)
# False positives:      2378  0.652%  (0.813% of nonspam,  57646 weighted)
# False negatives:     22724  6.230%  (31.407% of spam,  41163 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1185 1707 0 0 0
Adapt (over, cross, repeat): 2 1 1012
Performance: 20.628 iterations/s, iteration no. 4000

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290018  79.512%  (99.187% of non-spam corpus)
# Correctly spam:      49629  13.606%  (68.593% of spam corpus)
# False positives:      2378  0.652%  (0.813% of nonspam,  57646 weighted)
# False negatives:     22724  6.230%  (31.407% of spam,  41163 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1225 1301 0 0 0
Adapt (over, cross, repeat): 1 2 581
Performance: 26.660 iterations/s, iteration no. 4050

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290018  79.512%  (99.187% of non-spam corpus)
# Correctly spam:      49628  13.606%  (68.591% of spam corpus)
# False positives:      2378  0.652%  (0.813% of nonspam,  57646 weighted)
# False negatives:     22725  6.230%  (31.409% of spam,  41168 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1274 3627 0 0 0
Adapt (over, cross, repeat): 2 1 2871
Performance: 13.373 iterations/s, iteration no. 4100

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290018  79.512%  (99.187% of non-spam corpus)
# Correctly spam:      49628  13.606%  (68.591% of spam corpus)
# False positives:      2378  0.652%  (0.813% of nonspam,  57646 weighted)
# False negatives:     22725  6.230%  (31.409% of spam,  41168 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1226 725 0 0 0
Adapt (over, cross, repeat): 2 2 2
Performance: 27.056 iterations/s, iteration no. 4150

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290018  79.512%  (99.187% of non-spam corpus)
# Correctly spam:      49628  13.606%  (68.591% of spam corpus)
# False positives:      2378  0.652%  (0.813% of nonspam,  57646 weighted)
# False negatives:     22725  6.230%  (31.409% of spam,  41168 weighted)
# Average score for spam:  10.8    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1175 1267 0 0 0
Adapt (over, cross, repeat): 1 6 568
Performance: 21.826 iterations/s, iteration no. 4200

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290018  79.512%  (99.187% of non-spam corpus)
# Correctly spam:      49628  13.606%  (68.591% of spam corpus)
# False positives:      2378  0.652%  (0.813% of nonspam,  57646 weighted)
# False negatives:     22725  6.230%  (31.409% of spam,  41168 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

Iter #     Field      Value
4200       Best       1.006815e+05
           Average    1.006858e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1197 2374 0 0 0
Adapt (over, cross, repeat): 2 1 1663
Performance: 21.055 iterations/s, iteration no. 4250

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290018  79.512%  (99.187% of non-spam corpus)
# Correctly spam:      49628  13.606%  (68.591% of spam corpus)
# False positives:      2378  0.652%  (0.813% of nonspam,  57646 weighted)
# False negatives:     22725  6.230%  (31.409% of spam,  41168 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1121 3127 0 0 0
Adapt (over, cross, repeat): 4 2 2460
Performance: 17.400 iterations/s, iteration no. 4300

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290018  79.512%  (99.187% of non-spam corpus)
# Correctly spam:      49628  13.606%  (68.591% of spam corpus)
# False positives:      2378  0.652%  (0.813% of nonspam,  57646 weighted)
# False negatives:     22725  6.230%  (31.409% of spam,  41168 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1206 4180 0 0 0
Adapt (over, cross, repeat): 1 4 3464
Performance: 12.355 iterations/s, iteration no. 4350

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290018  79.512%  (99.187% of non-spam corpus)
# Correctly spam:      49628  13.606%  (68.591% of spam corpus)
# False positives:      2378  0.652%  (0.813% of nonspam,  57646 weighted)
# False negatives:     22725  6.230%  (31.409% of spam,  41168 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1186 1830 0 0 0
Adapt (over, cross, repeat): 1 7 1120
Performance: 17.783 iterations/s, iteration no. 4400

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290018  79.512%  (99.187% of non-spam corpus)
# Correctly spam:      49628  13.606%  (68.591% of spam corpus)
# False positives:      2378  0.652%  (0.813% of nonspam,  57646 weighted)
# False negatives:     22725  6.230%  (31.409% of spam,  41168 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1240 2911 0 0 0
Adapt (over, cross, repeat): 3 0 2181
Performance: 15.429 iterations/s, iteration no. 4450

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290018  79.512%  (99.187% of non-spam corpus)
# Correctly spam:      49628  13.606%  (68.591% of spam corpus)
# False positives:      2378  0.652%  (0.813% of nonspam,  57646 weighted)
# False negatives:     22725  6.230%  (31.409% of spam,  41168 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1311 6904 0 0 0
Adapt (over, cross, repeat): 3 5 6137
Performance: 9.947 iterations/s, iteration no. 4500

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290018  79.512%  (99.187% of non-spam corpus)
# Correctly spam:      49628  13.606%  (68.591% of spam corpus)
# False positives:      2378  0.652%  (0.813% of nonspam,  57646 weighted)
# False negatives:     22725  6.230%  (31.409% of spam,  41168 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

Iter #     Field      Value
4500       Best       1.006813e+05
           Average    1.006866e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1217 4410 0 0 0
Adapt (over, cross, repeat): 3 1 3702
Performance: 11.187 iterations/s, iteration no. 4550

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290018  79.512%  (99.187% of non-spam corpus)
# Correctly spam:      49628  13.606%  (68.591% of spam corpus)
# False positives:      2378  0.652%  (0.813% of nonspam,  57646 weighted)
# False negatives:     22725  6.230%  (31.409% of spam,  41168 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1140 3811 0 0 0
Adapt (over, cross, repeat): 2 2 3131
Performance: 14.671 iterations/s, iteration no. 4600

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290018  79.512%  (99.187% of non-spam corpus)
# Correctly spam:      49628  13.606%  (68.591% of spam corpus)
# False positives:      2378  0.652%  (0.813% of nonspam,  57646 weighted)
# False negatives:     22725  6.230%  (31.409% of spam,  41168 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1205 1351 0 0 0
Adapt (over, cross, repeat): 0 1 633
Performance: 27.013 iterations/s, iteration no. 4650

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290018  79.512%  (99.187% of non-spam corpus)
# Correctly spam:      49628  13.606%  (68.591% of spam corpus)
# False positives:      2378  0.652%  (0.813% of nonspam,  57646 weighted)
# False negatives:     22725  6.230%  (31.409% of spam,  41168 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1180 2127 0 0 0
Adapt (over, cross, repeat): 1 1 1413
Performance: 18.136 iterations/s, iteration no. 4700

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290018  79.512%  (99.187% of non-spam corpus)
# Correctly spam:      49628  13.606%  (68.591% of spam corpus)
# False positives:      2378  0.652%  (0.813% of nonspam,  57646 weighted)
# False negatives:     22725  6.230%  (31.409% of spam,  41168 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1203 4500 0 0 0
Adapt (over, cross, repeat): 2 4 3786
Performance: 12.035 iterations/s, iteration no. 4750

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290018  79.512%  (99.187% of non-spam corpus)
# Correctly spam:      49628  13.606%  (68.591% of spam corpus)
# False positives:      2378  0.652%  (0.813% of nonspam,  57646 weighted)
# False negatives:     22725  6.230%  (31.409% of spam,  41168 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1250 2838 0 0 0
Adapt (over, cross, repeat): 0 1 2102
Performance: 19.905 iterations/s, iteration no. 4800

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290018  79.512%  (99.187% of non-spam corpus)
# Correctly spam:      49628  13.606%  (68.591% of spam corpus)
# False positives:      2378  0.652%  (0.813% of nonspam,  57646 weighted)
# False negatives:     22725  6.230%  (31.409% of spam,  41168 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

Iter #     Field      Value
4800       Best       1.006812e+05
           Average    1.006882e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1194 1245 0 0 0
Adapt (over, cross, repeat): 0 1 547
Performance: 25.467 iterations/s, iteration no. 4850

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290018  79.512%  (99.187% of non-spam corpus)
# Correctly spam:      49628  13.606%  (68.591% of spam corpus)
# False positives:      2378  0.652%  (0.813% of nonspam,  57646 weighted)
# False negatives:     22725  6.230%  (31.409% of spam,  41168 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1062 2686 0 0 0
Adapt (over, cross, repeat): 1 1 2040
Performance: 15.935 iterations/s, iteration no. 4900

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290018  79.512%  (99.187% of non-spam corpus)
# Correctly spam:      49628  13.606%  (68.591% of spam corpus)
# False positives:      2378  0.652%  (0.813% of nonspam,  57646 weighted)
# False negatives:     22725  6.230%  (31.409% of spam,  41168 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1099 3687 0 0 0
Adapt (over, cross, repeat): 2 0 3026
Performance: 16.792 iterations/s, iteration no. 4950

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290018  79.512%  (99.187% of non-spam corpus)
# Correctly spam:      49628  13.606%  (68.591% of spam corpus)
# False positives:      2378  0.652%  (0.813% of nonspam,  57646 weighted)
# False negatives:     22725  6.230%  (31.409% of spam,  41168 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1177 3375 0 0 0
Adapt (over, cross, repeat): 1 0 2658
Performance: 14.003 iterations/s, iteration no. 5000

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290019  79.512%  (99.187% of non-spam corpus)
# Correctly spam:      49628  13.606%  (68.591% of spam corpus)
# False positives:      2377  0.652%  (0.813% of nonspam,  57634 weighted)
# False negatives:     22725  6.230%  (31.409% of spam,  41168 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1148 5854 0 0 0
Adapt (over, cross, repeat): 2 0 5166
Performance: 10.568 iterations/s, iteration no. 5050

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290019  79.512%  (99.187% of non-spam corpus)
# Correctly spam:      49628  13.606%  (68.591% of spam corpus)
# False positives:      2377  0.652%  (0.813% of nonspam,  57634 weighted)
# False negatives:     22725  6.230%  (31.409% of spam,  41168 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1193 5899 0 0 0
Adapt (over, cross, repeat): 1 4 5190
Performance: 10.184 iterations/s, iteration no. 5100

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290019  79.512%  (99.187% of non-spam corpus)
# Correctly spam:      49628  13.606%  (68.591% of spam corpus)
# False positives:      2377  0.652%  (0.813% of nonspam,  57634 weighted)
# False negatives:     22725  6.230%  (31.409% of spam,  41168 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

Iter #     Field      Value
5100       Best       1.006812e+05
           Average    1.006869e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1204 1841 0 0 0
Adapt (over, cross, repeat): 1 1 1112
Performance: 18.757 iterations/s, iteration no. 5150

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290019  79.512%  (99.187% of non-spam corpus)
# Correctly spam:      49628  13.606%  (68.591% of spam corpus)
# False positives:      2377  0.652%  (0.813% of nonspam,  57634 weighted)
# False negatives:     22725  6.230%  (31.409% of spam,  41168 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1056 5199 0 0 0
Adapt (over, cross, repeat): 2 1 4571
Performance: 11.218 iterations/s, iteration no. 5200

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290019  79.512%  (99.187% of non-spam corpus)
# Correctly spam:      49628  13.606%  (68.591% of spam corpus)
# False positives:      2377  0.652%  (0.813% of nonspam,  57634 weighted)
# False negatives:     22725  6.230%  (31.409% of spam,  41168 weighted)
# Average score for spam:  10.8    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1196 2364 0 0 0
Adapt (over, cross, repeat): 1 4 1645
Performance: 19.963 iterations/s, iteration no. 5250

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290019  79.512%  (99.187% of non-spam corpus)
# Correctly spam:      49628  13.606%  (68.591% of spam corpus)
# False positives:      2377  0.652%  (0.813% of nonspam,  57634 weighted)
# False negatives:     22725  6.230%  (31.409% of spam,  41168 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1200 2592 0 0 0
Adapt (over, cross, repeat): 3 0 1870
Performance: 18.453 iterations/s, iteration no. 5300

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290019  79.512%  (99.187% of non-spam corpus)
# Correctly spam:      49628  13.606%  (68.591% of spam corpus)
# False positives:      2377  0.652%  (0.813% of nonspam,  57634 weighted)
# False negatives:     22725  6.230%  (31.409% of spam,  41168 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

123456789The Best Evaluation: 1.006812e+05.
The Best String:

# SUMMARY for threshold 5.0:
# Correctly non-spam: 290019  79.512%  (99.187% of non-spam corpus)
# Correctly spam:      49628  13.606%  (68.591% of spam corpus)
# False positives:      2377  0.652%  (0.813% of nonspam,  57634 weighted)
# False negatives:     22725  6.230%  (31.409% of spam,  41168 weighted)
# Average score for spam:  10.7    nonspam: -0.0
# Average for false-pos:   9.8  false-neg: 1.8
# TOTAL:              364749  100.00%

score AC_DIV_BONANZA                 0.001
score AC_FROM_MANY_DOTS              2.913
score AC_HTML_NONSENSE_TAGS          1.999
score ADVANCE_FEE_2_NEW_MONEY        1.999
score ADVANCE_FEE_3_NEW              3.499
score ADVANCE_FEE_3_NEW_MONEY        2.399
score ADVANCE_FEE_4_NEW              2.199
score ADVANCE_FEE_4_NEW_FRM_MNY      0.001
score ADVANCE_FEE_4_NEW_MONEY        2.500
score ADVANCE_FEE_5_NEW              0.455
score ADVANCE_FEE_5_NEW_FRM_MNY      0.649
score ADVANCE_FEE_5_NEW_MONEY        1.176
score AD_PREFS                       0.419
score AMAZON_IMG_NOT_RCVD_AMZN       0.001
score AXB_XMAILER_MIMEOLE_OL_024C2   0.001
score AXB_X_FF_SEZ_S                 2.699
score BITCOIN_DEADLINE               0.000
score BITCOIN_EXTORT_01              0.559
score BITCOIN_MALF_HTML              1.640
score BITCOIN_MALWARE                2.732
score BITCOIN_SPAM_02                0.349
score BITCOIN_SPAM_03                2.499
score BITCOIN_SPAM_05                2.477
score BITCOIN_XPRIO                  0.001
score BITCOIN_YOUR_INFO              1.834
score BODY_SINGLE_URI                0.001
score BODY_URI_ONLY                  2.130
score CK_HELO_GENERIC                0.249
score CTE_8BIT_MISMATCH              0.001
score DEAR_BENEFICIARY               0.253
score DKIMWL_BL                      1.417
score DKIMWL_WL_HIGH                 -0.001
score DKIMWL_WL_MED                  -0.001
score DKIMWL_WL_MEDHI                -0.001
score ENCRYPTED_MESSAGE              -0.999
score END_FUTURE_EMAILS              2.499
score FILL_THIS_FORM                 0.599
score FONT_INVIS_DIRECT              0.002
score FONT_INVIS_LONG_LINE           0.752
score FONT_INVIS_MSGID               1.128
score FONT_INVIS_POSTEXTRAS          1.074
score FORGED_SPF_HELO                0.699
score FORM_FRAUD                     1.000
score FORM_FRAUD_5                   0.001
score FREEMAIL_FORGED_FROMDOMAIN     0.250
score FROM_ADDR_WS                   2.400
score FROM_FMBLA_NEWDOM28            0.799
score FROM_GOV_DKIM_AU               -0.001
score FROM_MISSPACED                 1.599
score FROM_MISSP_EH_MATCH            1.500
score FROM_MISSP_FREEMAIL            2.348
score FROM_MISSP_MSFT                0.001
score FROM_MISSP_REPLYTO             0.330
score FROM_MISSP_SPF_FAIL            0.001
score FROM_MISSP_USER                0.000
score FROM_PAYPAL_SPOOF              0.993
score FROM_SUSPICIOUS_NTLD           0.499
score FROM_SUSPICIOUS_NTLD_FP        1.999
score FROM_UNBAL1                    2.299
score FSL_BULK_SIG                   0.001
score FSL_CTYPE_WIN1251              0.001
score FSL_HAS_TINYURL                2.699
score FSL_NEW_HELO_USER              0.001
score FUZZY_AMAZON                   0.001
score FUZZY_IMPORTANT                1.739
score FUZZY_WALLET                   0.001
score GB_BITCOIN_CP                  2.772
score GB_CUSTOM_HTM_URI              0.035
score GB_FREEMAIL_DISPTO             0.001
score GB_HASHBL_BTC                  2.082
score GOOG_REDIR_HTML_ONLY           1.999
score GOOG_REDIR_NORDNS              2.899
score GOOG_STO_NOIMG_HTML            2.951
score HAS_X_OUTGOING_SPAM_STAT       0.001
score HDRS_LCASE_IMGONLY             0.100
score HDRS_MISSP                     1.272
score HDR_ORDER_FTSDMCXX_DIRECT      0.001
score HDR_ORDER_FTSDMCXX_NORDNS      0.000
score HEADER_FROM_DIFFERENT_DOMAINS  0.250
score HELO_MISC_IP                   0.001
score HELO_NO_DOMAIN                 0.001
score HK_NAME_MR_MRS                 0.999
score HK_RANDOM_ENVFROM              0.001
score HK_RANDOM_FROM                 0.999
score HK_RANDOM_REPLYTO              0.999
score HK_SCAM                        1.999
score HOSTED_IMG_DIRECT_MX           0.000
score HTML_ENTITY_ASCII              2.999
score HTML_FONT_TINY_NORDNS          0.998
score HTML_OFF_PAGE                  0.001
score HTML_SINGLET_MANY              2.457
score HTML_TAG_BALANCE_CENTER        2.799
score HTML_TEXT_INVISIBLE_FONT       1.424
score HTML_TEXT_INVISIBLE_STYLE      0.743
score JH_SPAMMY_HEADERS              3.499
score KHOP_HELO_FCRDNS               0.001
score LONG_HEX_URI                   2.999
score LONG_IMG_URI                   0.001
score LONG_INVISIBLE_TEXT            3.000
score LOTS_OF_MONEY                  0.010
score LOTTO_DEPT                     0.001
score MALWARE_NORDNS                 1.881
score MALWARE_PASSWORD               3.499
score MALW_ATTACH                    2.299
score MANY_SPAN_IN_TEXT              2.399
score MILLION_HUNDRED                0.413
score MILLION_USD                    0.707
score MIMEOLE_DIRECT_TO_MX           0.001
score MIXED_ES                       1.800
score MONEY_ATM_CARD                 0.489
score MONEY_BARRISTER                0.083
score MONEY_FORM                     0.001
score MONEY_FORM_SHORT               2.499
score MONEY_FRAUD_3                  1.611
score MONEY_FRAUD_5                  2.489
score MONEY_FRAUD_8                  0.001
score MONEY_FREEMAIL_REPTO           0.885
score MONEY_FROM_MISSP               0.001
score MSMAIL_PRI_ABNORMAL            0.809
score NA_DOLLARS                     1.148
score NICE_REPLY_A                   -0.096
score NORDNS_LOW_CONTRAST            0.001
score NO_FM_NAME_IP_HOSTN            0.001
score NSL_RCVD_FROM_USER             0.000
score NSL_RCVD_HELO_USER             0.001
score NUMBERONLY_BITCOIN_EXP         1.257
score OBFU_TEXT_ATTACH               0.325
score ODD_FREEM_REPTO                2.343
score PDS_BAD_THREAD_QP_64           0.001
score PDS_BTC_ID                     0.001
score PDS_BTC_MSGID                  0.001
score PDS_BTC_NTLD                   0.913
score PDS_EMPTYSUBJ_URISHRT          0.567
score PDS_FROM_2_EMAILS_SHRTNER      1.324
score PDS_HELO_SPF_FAIL              0.587
score PDS_NAKED_TO_NUMERO            0.957
score PDS_NO_FULL_NAME_SPOOFED_URL   0.749
score PDS_RDNS_DYNAMIC_FP            0.000
score PDS_SHORT_SPOOFED_URL          1.999
score PDS_TINYSUBJ_URISHRT           1.499
score PDS_TONAME_EQ_TOLOCAL_VSHORT   0.999
score PHP_ORIG_SCRIPT                0.001
score PHP_SCRIPT                     2.499
score POSSIBLE_GMAIL_PHISHER         0.873
score PP_MIME_FAKE_ASCII_TEXT        0.001
score RAND_MKTG_HEADER               1.999
score RATWARE_NO_RDNS                0.001
score RCVD_IN_MSPIKE_H2              -0.001
score RCVD_IN_MSPIKE_L3              0.001
score RCVD_IN_MSPIKE_ZBI             0.001
score SCC_ISEMM_LID_1B               1.499
score SENDGRID_REDIR                 1.064
score SHOPIFY_IMG_NOT_RCVD_SFY       2.469
score SHORT_SHORTNER                 1.999
score SPOOFED_FREEMAIL               0.001
score SPOOFED_FREEMAIL_NO_RDNS       0.001
score SPOOFED_FREEM_REPTO            0.001
score SPOOF_GMAIL_MID                0.001
score STATIC_XPRIO_OLE               1.865
score STOX_BOUND_090909_B            0.001
score SUSP_UTF8_WORD_SUBJ            1.999
score THIS_AD                        1.721
score TONOM_EQ_TOLOC_SHRT_SHRTNER    0.001
score TO_EQ_FM_DOM_SPF_FAIL          0.001
score TO_EQ_FM_SPF_FAIL              0.001
score TO_NAME_SUBJ_NO_RDNS           2.999
score TO_NO_BRKTS_FROM_MSSP          2.499
score TO_NO_BRKTS_HTML_IMG           1.999
score TO_NO_BRKTS_HTML_ONLY          1.999
score TO_NO_BRKTS_MSFT               0.001
score TO_NO_BRKTS_NORDNS_HTML        1.999
score TO_NO_BRKTS_PCNT               2.499
score TVD_PH_7                       2.299
score UNDISC_FREEM                   2.899
score UNDISC_MONEY                   2.202
score URI_GOOGLE_PROXY               1.799
score URI_PHISH                      3.628
score URI_TRY_3LD                    1.666
score URI_WP_HACKED                  3.499
score URI_WP_HACKED_2                2.499
score VFY_ACCT_NORDNS                2.999
score WORD_INVIS                     0.805
score WORD_INVIS_MANY                2.999
score XFER_LOTSA_MONEY               0.296
score XM_RANDOM                      0.001
score XM_RECPTID                     1.307
score XPRIO                          0.001
score XPRIO_URL_SHORTNER             0.999
score YOU_INHERIT                    2.399
score ACCT_PHISHING_MANY             1.000
score ACT_NOW_CAPS                   0.100
score AC_BR_BONANZA                  0.001
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 ADVANCE_FEE_2_NEW_FRM_MNY      1.000
score ALIBABA_IMG_NOT_RCVD_ALI       1.000
score ALL_TRUSTED                    -1.000
score ANY_BOUNCE_MESSAGE             0.100
score APOSTROPHE_FROM                0.786
score APP_DEVELOPMENT_FREEM          1.000
score APP_DEVELOPMENT_NORDNS         1.000
score ARC_INVALID                    0.100
score ARC_SIGNED                     0.001
score ARC_VALID                      -0.100
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_FREEM            1.000
score BIGNUM_EMAILS_MANY             1.000
score BILLION_DOLLARS                1.451
score BITCOIN_BOMB                   1.000
score BITCOIN_EXTORT_02              1.000
score BITCOIN_IMGUR                  1.000
score BITCOIN_OBFU_SUBJ              1.000
score BITCOIN_ONAN                   1.000
score BITCOIN_PAY_ME                 1.000
score BITCOIN_SPAM_01                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_09                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 BOGUS_MSM_HDRS                 1.000
score BOMB_FREEM                     1.000
score BOMB_MONEY                     1.000
score BOUNCE_MESSAGE                 0.100
score BTC_ORG                        1.000
score 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 CONTENT_AFTER_HTML             1.000
score CONTENT_AFTER_HTML_WEAK        1.000
score CRBOUNCE_MESSAGE               0.100
score CTYPE_001C_B                   0.001
score CURR_PRICE                     0.001
score DATE_IN_FUTURE_03_06           2.426
score DATE_IN_FUTURE_06_12           0.001
score DATE_IN_FUTURE_12_24           2.489
score DATE_IN_FUTURE_24_48           1.248
score DATE_IN_FUTURE_48_96           0.813
score DATE_IN_PAST_03_06             1.076
score DATE_IN_PAST_06_12             1.103
score DATE_IN_PAST_12_24             0.804
score DATE_IN_PAST_24_48             0.485
score DATE_IN_PAST_96_XX             2.070
score DAY_I_EARNED                   1.000
score DCC_CHECK                      1.100
score DCC_REPUT_00_12                -0.800
score DCC_REPUT_13_19                -0.100
score DCC_REPUT_70_89                0.100
score DCC_REPUT_90_94                0.400
score DCC_REPUT_95_98                0.700
score DCC_REPUT_99_100               1.200
score DC_GIF_UNO_LARGO               1.323
score DC_IMAGE_SPAM_HTML             0.100
score DC_IMAGE_SPAM_TEXT             0.100
score DC_PNG_UNO_LARGO               0.001
score DEAR_FRIEND                    2.604
score DEAR_SOMETHING                 1.731
score DEAR_WINNER                    3.099
score DIGEST_MULTIPLE                0.001
score DKIMWL_BLOCKED                 0.001
score 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 FACEBOOK_IMG_NOT_RCVD_FB       1.000
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_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_FMBLA_NEWDOM              1.000
score FROM_FMBLA_NEWDOM14            1.000
score FROM_GOV_REPLYTO_FREEMAIL      1.000
score FROM_GOV_SPOOF                 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_NEWDOM_BTC                1.000
score FROM_NO_USER                   2.599
score FROM_NTLD_LINKBAIT             1.000
score FROM_NTLD_REPLY_FREEMAIL       1.000
score FROM_NUMBERO_NEWDOMAIN         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_BITCOIN_NH                  1.000
score GB_FAKE_RF_SHORT               1.000
score GB_FORGED_MUA_POSTFIX          1.000
score GB_FREEMAIL_DISPTO_NOTFREEM    0.500
score GB_GOOGLE_OBFUR                0.750
score GB_STORAGE_GOOGLE_EMAIL        1.000
score GB_URI_FLEEK_STO_HTM           1.000
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_MALWARE_DNLD              1.000
score GOOG_STO_EMAIL_PHISH           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 GOOG_STO_IMG_NOHTML            1.000
score GTUBE                          1000.000
score GUARANTEED_100_PERCENT         2.699
score HAS_X_NO_RELAY                 1.000
score HEADER_SPAM                    2.499
score HELO_DYNAMIC_CHELLO_NL         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_LOTTO                       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_FREEM               1.000
score HOSTED_IMG_MULTI               1.000
score HOSTED_IMG_MULTI_PUB_01        1.000
score HTML_CHARSET_FARAWAY           0.500
score HTML_COMMENT_SAVED_URL         0.357
score HTML_EMBEDS                    0.001
score HTML_ENTITY_ASCII_TINY         1.000
score HTML_EXTRA_CLOSE               0.001
score HTML_FONT_FACE_BAD             0.001
score HTML_FONT_LOW_CONTRAST         0.001
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 LOTTO_AGENT                    1.000
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 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_HDR_MALF                 1.000
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 MSM_PRIO_REPTO                 1.000
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_DBL_URL_TNB_RUNON          1.000
score PDS_PHP_EVAL                   1.000
score PDS_TONAME_EQ_TOLOCAL_FREEM_FORGE 1.000
score PERCENT_RANDOM                 2.837
score PHISH_AZURE_CLOUDAPP           3.500
score PHISH_FBASEAPP                 1.000
score PHP_NOVER_MUA                  1.000
score PHP_ORIG_SCRIPT_EVAL           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 RDNS_NUM_TLD_XM                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             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_INFONUMSCOM              1.000
score REPTO_QUOTE_YAHOO              0.490
score SB_GIF_AND_NO_URIS             2.199
score SCC_ISEMM_LID_1                1.000
score SENDGRID_REDIR_PHISH           1.000
score SEO_SUSP_NTLD                  1.000
score SHORTENER_SHORT_IMG            1.000
score SHORT_HELO_AND_INLINE_IMAGE    0.100
score SHORT_IMG_SUSP_NTLD            1.000
score SHORT_TERM_PRICE               0.001
score SORTED_RECIPS                  2.474
score SPAMMY_XMAILER                 0.862
score SPF_FAIL                       0.919
score SPF_HELO_FAIL                  0.001
score SPF_HELO_NEUTRAL               0.001
score SPF_HELO_NONE                  0.001
score SPF_HELO_PASS                  -0.001
score SPF_HELO_SOFTFAIL              0.896
score SPF_NEUTRAL                    0.652
score SPF_NONE                       0.001
score SPF_PASS                       -0.001
score SPF_SOFTFAIL                   0.972
score SPOOFED_FREEM_REPTO_CHN        1.000
score SPOOFED_FREEM_REPTO_RUS        1.000
score SPOOF_COM2COM                  0.001
score SPOOF_COM2OTH                  0.001
score STOCK_IMG_CTYPE                0.005
score STOCK_IMG_HDR_FROM             0.001
score STOCK_IMG_HTML                 0.028
score STOCK_IMG_OUTLOOK              0.702
score STOCK_TIP                      1.000
score STOX_REPLY_TYPE                0.212
score STOX_REPLY_TYPE_WITHOUT_QUOTES 1.860
score SUBJECT_DIET                   1.563
score SUBJECT_DRUG_GAP_C             0.989
score SUBJECT_DRUG_GAP_L             2.304
score SUBJECT_FUZZY_CHEAP            1.831
score SUBJECT_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_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                     1.000
score URI_DOTEDU_ENTITY              1.000
score URI_FIREBASEAPP                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_ONLY_MSGID_MALF            1.000
score URI_OPTOUT_3LD                 1.000
score URI_PHP_REDIR                  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 VPS_NO_NTLD                    1.000
score WALMART_IMG_NOT_RCVD_WAL       1.000
score WEIRD_PORT                     0.001
score WEIRD_QUOTING                  0.001
score XM_DIGITS_ONLY                 1.000
score XPRIO_SHORT_SUBJ               1.000
score X_IP                           0.001
score X_MAILER_CME_6543_MSN          2.004


325.14user 0.08system 5:25.25elapsed 99%CPU (0avgtext+0avgdata 7268maxresident)k
0inputs+7632outputs (0major+1323minor)pagefaults 0swaps
+ date
Mon 06 Mar 2023 02:34:53 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: FROM_MISSP_USER depends on NSL_RCVD_FROM_USER with 0 score, fixing at non-0
fix meta dep: __GMD_PDF_PRODUCERS depends on GMD_PRODUCER_GPL with 0 score, fixing at non-0
fix meta dep: __GMD_PDF_PRODUCERS depends on GMD_PRODUCER_POWERPDF with 0 score, fixing at non-0
fix meta dep: __GMD_PDF_PRODUCERS depends on GMD_PRODUCER_EASYPDF with 0 score, fixing at non-0
fix meta dep: __AC_FROM_MANY_DOTS_MINFP depends on FORGED_GMAIL_RCVD with 0 score, fixing at non-0
fix meta dep: CONTENT_AFTER_HTML_WEAK depends on MAILING_LIST_MULTI with 0 score, fixing at non-0
fix meta dep: __FORM_FRAUD_3 depends on EMRCP with 0 score, fixing at non-0
fix meta dep: BITCOIN_SPAM_06 depends on TVD_RCVD_SPACE_BRACKET with 0 score, fixing at non-0
fix meta dep: USER_IN_BLACKLIST depends on USER_IN_BLOCKLIST 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: __OBFU_BITCOIN depends on FUZZY_BITCOIN 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: __GMD_PDF_DIMS depends on GMD_PDF_VERT with 0 score, fixing at non-0
fix meta dep: __GMD_PDF_DIMS depends on GMD_PDF_HORIZ with 0 score, fixing at non-0
fix meta dep: __GMD_PDF_DIMS depends on GMD_PDF_SQUARE with 0 score, fixing at non-0
fix meta dep: USER_IN_BLACKLIST_TO depends on USER_IN_BLOCKLIST_TO with 0 score, fixing at non-0
fix meta dep: USER_IN_DEF_WHITELIST depends on USER_IN_DEF_WELCOMELIST with 0 score, fixing at non-0
fix meta dep: USER_IN_WHITELIST depends on USER_IN_WELCOMELIST 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: SUBJECT_IN_BLACKLIST depends on SUBJECT_IN_BLOCKLIST with 0 score, fixing at non-0
ACCT_PHISHING_MANY does not have a default score
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
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_X_FF_SEZ_S 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_MALF_HTML 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_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
CK_HELO_GENERIC does not have a default score
CN_B2B_SPAMMER does not have a default score
COMMENT_GIBBERISH does not have a default score
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
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_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_EH_MATCH does not have a default score
FROM_MISSP_FREEMAIL does not have a default score
FROM_MISSP_MSFT does not have a default score
FROM_MISSP_REPLYTO does not have a default score
FROM_MISSP_SPF_FAIL does not have a default score
FROM_MISSP_USER 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_OFFERS does not have a default score
FROM_PAYPAL_SPOOF does not have a default score
FROM_SUSPICIOUS_NTLD does not have a default score
FROM_SUSPICIOUS_NTLD_FP does not have a default score
FROM_UNBAL1 does not have a default score
FSL_BULK_SIG does not have a default score
FSL_CTYPE_WIN1251 does not have a default score
FSL_HAS_TINYURL 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_BITCOIN_NH does not have a default score
GB_CUSTOM_HTM_URI 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_STORAGE_GOOGLE_EMAIL 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_MISC_IP does not have a default score
HELO_NO_DOMAIN does not have a default score
HEXHASH_WORD does not have a default score
HK_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_FONT_TINY_NORDNS 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
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
LOTTO_DEPT does not have a default score
LUCRATIVE does not have a default score
MAILING_LIST_MULTI 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_SPAN_IN_TEXT does not have a default score
MAY_BE_FORGED does not have a default score
MILLION_HUNDRED does not have a default score
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_BARRISTER 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_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
NA_DOLLARS 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
NUMBERONLY_BITCOIN_EXP does not have a default score
OBFU_BITCOIN does not have a default score
OBFU_JVSCR_ESC does not have a default score
OBFU_TEXT_ATTACH does not have a default score
OBFU_UNSUB_UL does not have a default score
ODD_FREEM_REPTO does not have a default score
PDS_BAD_THREAD_QP_64 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_BTC_NTLD does not have a default score
PDS_DBL_URL_TNB_RUNON does not have a default score
PDS_EMPTYSUBJ_URISHRT does not have a default score
PDS_FROM_2_EMAILS_SHRTNER does not have a default score
PDS_HELO_SPF_FAIL does not have a default score
PDS_NAKED_TO_NUMERO does not have a default score
PDS_NO_FULL_NAME_SPOOFED_URL does not have a default score
PDS_PHP_EVAL does not have a default score
PDS_RDNS_DYNAMIC_FP does not have a default score
PDS_SHORT_SPOOFED_URL 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
PDS_TONAME_EQ_TOLOCAL_VSHORT 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
PHP_NOVER_MUA does not have a default score
PHP_ORIG_SCRIPT does not have a default score
PHP_ORIG_SCRIPT_EVAL 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_GMAIL_PHISHER 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_NO_RDNS 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_BOGUS_CTE_1 does not have a default score
SCC_CTMPP does not have a default score
SCC_ISEMM_LID_1 does not have a default score
SCC_ISEMM_LID_1B does not have a default score
SCC_SPECIAL_GUID 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
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
STOX_BOUND_090909_B 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_BRKN_WORDNUMS does not have a default score
SURBL_BLOCKED does not have a default score
SUSP_UTF8_WORD_SUBJ 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_PH_7 does not have a default score
TVD_RCVD_SPACE_BRACKET does not have a default score
TVD_SUBJ_APPR_LOAN 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
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_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
XPRIO_URL_SHORTNER does not have a default score
YOU_INHERIT does not have a default score
+ mv tmprules/50_newscores.cf tmprules/50_scores.cf
+ cp tmprules/50_scores.cf gen-set1-10-5.0-5500-ga/50_scores.cf
+ perl ./fp-fn-statistics --ham ham-test.log --spam spam-test.log --scoreset 1 --cffile=tmprules --fnlog gen-set1-10-5.0-5500-ga/false_negatives --fplog gen-set1-10-5.0-5500-ga/false_positives
[../build/parse-rules-for-masses -o ./tmp/rules_4014252.pl -d "tmprules" -s 1]
Mon 06 Mar 2023 02:34:56 AM UTC
[ generating fp-fn-statistics ]
[../build/parse-rules-for-masses -o ./tmp/rules_4017096.pl -d "../rules-base" -s 1]
[../build/parse-rules-for-masses -o ./tmp/rules_4017107.pl -d "../rules-base" -s 1]
Mon 06 Mar 2023 02:35:13 AM UTC
[ extracting new scores ]
Removing scores for base release rules from newly generated scores
# Using score set 1 logs for revision 1908044 from:
# ham-net-ena-week3.r1908044.log ham-net-ena-week4.r1908044.log ham-net-giovanni-ham.r1908044.log ham-net-giovanni-spammy.r1908044.log ham-net-giovanni-spam.r1908044.log ham-net-grenier.r1908044.log ham-net-hege.r1908044.log ham-net-llanga.r1908044.log ham-net-mmiroslaw-mails-ham.r1908044.log ham-net-mmiroslaw-mails-spam.r1908044.log ham-net-spamsponge.r1908044.log ham-net-thendrikx.r1908044.log ham-net-tsz-spam-corpus.r1908044.log spam-net-ena-week3.r1908044.log spam-net-ena-week4.r1908044.log spam-net-giovanni-ham.r1908044.log spam-net-giovanni-spammy.r1908044.log spam-net-giovanni-spam.r1908044.log spam-net-grenier.r1908044.log spam-net-hege.r1908044.log spam-net-llanga.r1908044.log spam-net-mmiroslaw-mails-ham.r1908044.log spam-net-mmiroslaw-mails-spam.r1908044.log spam-net-spamsponge.r1908044.log spam-net-thendrikx.r1908044.log spam-net-tsz-spam-corpus.r1908044.log

score AC_DIV_BONANZA                 0.001
score AC_FROM_MANY_DOTS              2.913
score AC_HTML_NONSENSE_TAGS          1.999
score ADVANCE_FEE_2_NEW_MONEY        1.999
score ADVANCE_FEE_3_NEW              3.499
score ADVANCE_FEE_3_NEW_MONEY        2.399
score ADVANCE_FEE_4_NEW              2.199
score ADVANCE_FEE_4_NEW_FRM_MNY      0.001
score ADVANCE_FEE_4_NEW_MONEY        2.500
score ADVANCE_FEE_5_NEW              0.455
score ADVANCE_FEE_5_NEW_FRM_MNY      0.649
score ADVANCE_FEE_5_NEW_MONEY        1.176
score AD_PREFS                       0.419
score AMAZON_IMG_NOT_RCVD_AMZN       0.001
score AXB_XMAILER_MIMEOLE_OL_024C2   0.001
score AXB_X_FF_SEZ_S                 2.699
score BITCOIN_DEADLINE               0.000
score BITCOIN_EXTORT_01              0.559
score BITCOIN_MALF_HTML              1.640
score BITCOIN_MALWARE                2.315
score BITCOIN_SPAM_02                0.349
score BITCOIN_SPAM_03                2.499
score BITCOIN_SPAM_05                2.477
score BITCOIN_XPRIO                  0.001
score BITCOIN_YOUR_INFO              1.834
score BODY_SINGLE_URI                0.001
score BODY_URI_ONLY                  2.130
score CK_HELO_GENERIC                0.249
score CTE_8BIT_MISMATCH              0.001
score DEAR_BENEFICIARY               0.253
score DKIMWL_BL                      1.417
score DKIMWL_WL_HIGH                 -0.001
score DKIMWL_WL_MED                  -0.001
score DKIMWL_WL_MEDHI                -0.001
score ENCRYPTED_MESSAGE              -0.999
score END_FUTURE_EMAILS              2.499
score FILL_THIS_FORM                 0.599
score FONT_INVIS_DIRECT              0.002
score FONT_INVIS_LONG_LINE           0.752
score FONT_INVIS_MSGID               1.128
score FONT_INVIS_POSTEXTRAS          1.074
score FORGED_SPF_HELO                0.699
score FORM_FRAUD                     1.000
score FORM_FRAUD_5                   0.001
score FREEMAIL_FORGED_FROMDOMAIN     0.250
score FROM_ADDR_WS                   2.400
score FROM_FMBLA_NEWDOM28            0.799
score FROM_GOV_DKIM_AU               -0.001
score FROM_MISSPACED                 1.599
score FROM_MISSP_EH_MATCH            1.500
score FROM_MISSP_FREEMAIL            2.348
score FROM_MISSP_MSFT                0.001
score FROM_MISSP_REPLYTO             0.330
score FROM_MISSP_SPF_FAIL            0.001
score FROM_MISSP_USER                0.000
score FROM_PAYPAL_SPOOF              0.993
score FROM_SUSPICIOUS_NTLD           0.499
score FROM_SUSPICIOUS_NTLD_FP        1.999
score FROM_UNBAL1                    2.299
score FSL_BULK_SIG                   0.001
score FSL_CTYPE_WIN1251              0.001
score FSL_HAS_TINYURL                2.699
score FSL_NEW_HELO_USER              0.001
score FUZZY_AMAZON                   0.001
score FUZZY_IMPORTANT                1.739
score FUZZY_WALLET                   0.001
score GB_BITCOIN_CP                  2.772
score GB_CUSTOM_HTM_URI              0.035
score GB_FREEMAIL_DISPTO             0.001
score GB_HASHBL_BTC                  2.082
score GOOG_REDIR_HTML_ONLY           1.999
score GOOG_REDIR_NORDNS              2.899
score GOOG_STO_NOIMG_HTML            2.951
score HAS_X_OUTGOING_SPAM_STAT       0.001
score HDRS_LCASE_IMGONLY             0.100
score HDRS_MISSP                     1.272
score HDR_ORDER_FTSDMCXX_DIRECT      0.001
score HDR_ORDER_FTSDMCXX_NORDNS      0.000
score HEADER_FROM_DIFFERENT_DOMAINS  0.250
score HELO_MISC_IP                   0.001
score HELO_NO_DOMAIN                 0.001
score HK_NAME_MR_MRS                 0.999
score HK_RANDOM_ENVFROM              0.001
score HK_RANDOM_FROM                 0.999
score HK_RANDOM_REPLYTO              0.999
score HK_SCAM                        1.999
score HOSTED_IMG_DIRECT_MX           0.000
score HTML_ENTITY_ASCII              2.999
score HTML_FONT_TINY_NORDNS          0.998
score HTML_OFF_PAGE                  0.001
score HTML_SINGLET_MANY              2.457
score HTML_TAG_BALANCE_CENTER        2.799
score HTML_TEXT_INVISIBLE_FONT       1.424
score HTML_TEXT_INVISIBLE_STYLE      0.743
score JH_SPAMMY_HEADERS              3.499
score KHOP_HELO_FCRDNS               0.001
score LONG_HEX_URI                   2.999
score LONG_IMG_URI                   0.001
score LONG_INVISIBLE_TEXT            3.000
score LOTS_OF_MONEY                  0.010
score LOTTO_DEPT                     0.001
score MALWARE_NORDNS                 1.881
score MALWARE_PASSWORD               3.499
score MALW_ATTACH                    2.299
score MANY_SPAN_IN_TEXT              2.399
score MILLION_HUNDRED                0.413
score MILLION_USD                    0.707
score MIMEOLE_DIRECT_TO_MX           0.001
score MIXED_ES                       1.800
score MONEY_ATM_CARD                 0.489
score MONEY_BARRISTER                0.083
score MONEY_FORM                     0.001
score MONEY_FORM_SHORT               2.499
score MONEY_FRAUD_3                  1.611
score MONEY_FRAUD_5                  2.489
score MONEY_FRAUD_8                  0.001
score MONEY_FREEMAIL_REPTO           0.885
score MONEY_FROM_MISSP               0.001
score MSMAIL_PRI_ABNORMAL            0.809
score NA_DOLLARS                     1.148
score NICE_REPLY_A                   -0.096
score NORDNS_LOW_CONTRAST            0.001
score NO_FM_NAME_IP_HOSTN            0.001
score NSL_RCVD_FROM_USER             0.000
score NSL_RCVD_HELO_USER             0.001
score NUMBERONLY_BITCOIN_EXP         1.257
score OBFU_TEXT_ATTACH               0.325
score ODD_FREEM_REPTO                2.343
score PDS_BAD_THREAD_QP_64           0.001
score PDS_BTC_ID                     0.001
score PDS_BTC_MSGID                  0.001
score PDS_BTC_NTLD                   1.405
score PDS_EMPTYSUBJ_URISHRT          0.567
score PDS_FROM_2_EMAILS_SHRTNER      1.324
score PDS_HELO_SPF_FAIL              0.587
score PDS_NAKED_TO_NUMERO            0.957
score PDS_NO_FULL_NAME_SPOOFED_URL   0.749
score PDS_RDNS_DYNAMIC_FP            0.000
score PDS_SHORT_SPOOFED_URL          1.999
score PDS_TINYSUBJ_URISHRT           1.499
score PDS_TONAME_EQ_TOLOCAL_VSHORT   0.999
score PHP_ORIG_SCRIPT                0.001
score PHP_SCRIPT                     2.499
score POSSIBLE_GMAIL_PHISHER         0.873
score PP_MIME_FAKE_ASCII_TEXT        0.001
score RAND_MKTG_HEADER               1.999
score RATWARE_NO_RDNS                0.001
score RCVD_IN_MSPIKE_H2              -0.001
score SCC_ISEMM_LID_1B               1.499
score SENDGRID_REDIR                 1.064
score SHOPIFY_IMG_NOT_RCVD_SFY       2.469
score SHORT_SHORTNER                 1.999
score SPOOFED_FREEMAIL               0.001
score SPOOFED_FREEMAIL_NO_RDNS       0.001
score SPOOFED_FREEM_REPTO            0.001
score SPOOF_GMAIL_MID                0.001
score STATIC_XPRIO_OLE               1.865
score STOX_BOUND_090909_B            0.001
score SUSP_UTF8_WORD_SUBJ            1.999
score THIS_AD                        1.721
score TONOM_EQ_TOLOC_SHRT_SHRTNER    0.001
score TO_EQ_FM_DOM_SPF_FAIL          0.001
score TO_EQ_FM_SPF_FAIL              0.001
score TO_NAME_SUBJ_NO_RDNS           2.999
score TO_NO_BRKTS_FROM_MSSP          2.499
score TO_NO_BRKTS_HTML_IMG           1.999
score TO_NO_BRKTS_HTML_ONLY          1.999
score TO_NO_BRKTS_MSFT               0.001
score TO_NO_BRKTS_NORDNS_HTML        1.999
score TO_NO_BRKTS_PCNT               2.499
score TVD_PH_7                       2.299
score UNDISC_FREEM                   2.899
score UNDISC_MONEY                   2.202
score URI_GOOGLE_PROXY               1.799
score URI_PHISH                      3.628
score URI_TRY_3LD                    1.666
score URI_WP_HACKED                  3.499
score URI_WP_HACKED_2                2.499
score VFY_ACCT_NORDNS                2.999
score WORD_INVIS                     0.805
score WORD_INVIS_MANY                2.999
score XFER_LOTSA_MONEY               0.296
score XM_RANDOM                      0.001
score XM_RECPTID                     1.307
score XPRIO                          0.001
score XPRIO_URL_SHORTNER             0.999
score YOU_INHERIT                    2.399
score ACCT_PHISHING_MANY             1.000
score AC_BR_BONANZA                  0.001
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 ADVANCE_FEE_2_NEW_FRM_MNY      1.000
score ALIBABA_IMG_NOT_RCVD_ALI       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_FREEM            1.000
score BIGNUM_EMAILS_MANY             1.000
score BITCOIN_BOMB                   1.000
score BITCOIN_EXTORT_02              1.000
score BITCOIN_IMGUR                  1.000
score BITCOIN_OBFU_SUBJ              1.000
score BITCOIN_ONAN                   1.000
score BITCOIN_PAY_ME                 1.000
score BITCOIN_SPAM_01                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_09                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 BOGUS_MSM_HDRS                 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 CONTENT_AFTER_HTML             1.000
score CONTENT_AFTER_HTML_WEAK        1.000
score DAY_I_EARNED                   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 FACEBOOK_IMG_NOT_RCVD_FB       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_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_FMBLA_NEWDOM              1.000
score FROM_FMBLA_NEWDOM14            1.000
score FROM_GOV_REPLYTO_FREEMAIL      1.000
score FROM_GOV_SPOOF                 1.000
score FROM_NEWDOM_BTC                1.000
score FROM_NTLD_LINKBAIT             1.000
score FROM_NTLD_REPLY_FREEMAIL       1.000
score FROM_NUMBERO_NEWDOMAIN         1.000
score GAPPY_SALES_LEADS_FREEM        1.000
score GB_BITCOIN_NH                  1.000
score GB_FAKE_RF_SHORT               1.000
score GB_FORGED_MUA_POSTFIX          1.000
score GB_FREEMAIL_DISPTO_NOTFREEM    0.500
score GB_GOOGLE_OBFUR                0.750
score GB_STORAGE_GOOGLE_EMAIL        1.000
score GB_URI_FLEEK_STO_HTM           1.000
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_MALWARE_DNLD              1.000
score GOOG_STO_EMAIL_PHISH           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 GOOG_STO_IMG_NOHTML            1.000
score HAS_X_NO_RELAY                 1.000
score HEXHASH_WORD                   1.000
score HK_CTE_RAW                     1.000
score HK_LOTTO                       1.000
score HK_RCVD_IP_MULTICAST           1.000
score HK_WIN                         1.000
score HOSTED_IMG_DQ_UNSUB            1.000
score HOSTED_IMG_FREEM               1.000
score HOSTED_IMG_MULTI               1.000
score HOSTED_IMG_MULTI_PUB_01        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 LOTTO_AGENT                    1.000
score LUCRATIVE                      1.000
score MALF_HTML_B64                  1.000
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 MSGID_HDR_MALF                 1.000
score MSM_PRIO_REPTO                 1.000
score NEWEGG_IMG_NOT_RCVD_NEGG       1.000
score NEW_PRODUCTS                   1.000
score OBFU_BITCOIN                   1.000
score PDS_DBL_URL_TNB_RUNON          1.000
score PDS_PHP_EVAL                   1.000
score PDS_TONAME_EQ_TOLOCAL_FREEM_FORGE 1.000
score PHISH_AZURE_CLOUDAPP           3.500
score PHISH_FBASEAPP                 1.000
score PHP_NOVER_MUA                  1.000
score PHP_ORIG_SCRIPT_EVAL           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 RDNS_NUM_TLD_XM                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             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_INFONUMSCOM              1.000
score SCC_ISEMM_LID_1                1.000
score SENDGRID_REDIR_PHISH           1.000
score SEO_SUSP_NTLD                  1.000
score SHORTENER_SHORT_IMG            1.000
score SHORT_IMG_SUSP_NTLD            1.000
score SPOOFED_FREEM_REPTO_CHN        1.000
score SPOOFED_FREEM_REPTO_RUS        1.000
score STOCK_TIP                      1.000
score 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                     1.000
score URI_DOTEDU_ENTITY              1.000
score URI_FIREBASEAPP                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_ONLY_MSGID_MALF            1.000
score URI_OPTOUT_3LD                 1.000
score URI_PHP_REDIR                  1.000
score URI_TRY_USME                   1.000
score URI_WP_DIRINDEX                1.000
score USB_DRIVES                     1.000
score VPS_NO_NTLD                    1.000
score WALMART_IMG_NOT_RCVD_WAL       1.000
score XM_DIGITS_ONLY                 1.000
score XPRIO_SHORT_SUBJ               1.000
Mon 06 Mar 2023 02:35:13 AM UTC
[ completed ]
/usr/local/spamassassin/automc/tmp/generate-new-scores
Mon 06 Mar 2023 02:35:13 AM UTC
[ rsyncing logs ]
[ rsyncing logs locally ]
sending incremental file list

sent 4,760 bytes  received 12 bytes  9,544.00 bytes/sec
total size is 6,002,531,809  speedup is 1,257,865.01
Mon 06 Mar 2023 02:35:13 AM UTC
[ selecting log files to use for scoreset 0 ]
Linked spam-hege.r1908078.log to corpus/usable-corpus-set0/spam-hege.r1908078.log
Linked ham-spamsponge.r1908078.log to corpus/usable-corpus-set0/ham-spamsponge.r1908078.log
Linked ham-giovanni-ham.r1908078.log to corpus/usable-corpus-set0/ham-giovanni-ham.r1908078.log
Linked ham-ena-week3.r1908078.log to corpus/usable-corpus-set0/ham-ena-week3.r1908078.log
Linked spam-tsz-spam-corpus.r1908078.log to corpus/usable-corpus-set0/spam-tsz-spam-corpus.r1908078.log
Linked ham-giovanni-spammy.r1908078.log to corpus/usable-corpus-set0/ham-giovanni-spammy.r1908078.log
Linked spam-thendrikx.r1908078.log to corpus/usable-corpus-set0/spam-thendrikx.r1908078.log
Linked spam-giovanni-spammy.r1908078.log to corpus/usable-corpus-set0/spam-giovanni-spammy.r1908078.log
Linked spam-mmiroslaw-mails-ham.r1908078.log to corpus/usable-corpus-set0/spam-mmiroslaw-mails-ham.r1908078.log
Linked spam-spamsponge.r1908078.log to corpus/usable-corpus-set0/spam-spamsponge.r1908078.log
Linked ham-ena-week4.r1908078.log to corpus/usable-corpus-set0/ham-ena-week4.r1908078.log
Linked spam-ena-week4.r1908078.log to corpus/usable-corpus-set0/spam-ena-week4.r1908078.log
Linked ham-mmiroslaw-mails-spam.r1908078.log to corpus/usable-corpus-set0/ham-mmiroslaw-mails-spam.r1908078.log
Linked spam-giovanni-ham.r1908078.log to corpus/usable-corpus-set0/spam-giovanni-ham.r1908078.log
Linked spam-llanga.r1908078.log to corpus/usable-corpus-set0/spam-llanga.r1908078.log
Linked ham-mmiroslaw-mails-ham.r1908078.log to corpus/usable-corpus-set0/ham-mmiroslaw-mails-ham.r1908078.log
Linked ham-hege.r1908078.log to corpus/usable-corpus-set0/ham-hege.r1908078.log
Linked ham-thendrikx.r1908078.log to corpus/usable-corpus-set0/ham-thendrikx.r1908078.log
Linked spam-ena-week3.r1908078.log to corpus/usable-corpus-set0/spam-ena-week3.r1908078.log
Linked ham-llanga.r1908078.log to corpus/usable-corpus-set0/ham-llanga.r1908078.log
Linked spam-giovanni-spam.r1908078.log to corpus/usable-corpus-set0/spam-giovanni-spam.r1908078.log
Linked spam-mmiroslaw-mails-spam.r1908078.log to corpus/usable-corpus-set0/spam-mmiroslaw-mails-spam.r1908078.log
Linked ham-giovanni-spam.r1908078.log to corpus/usable-corpus-set0/ham-giovanni-spam.r1908078.log
Linked spam-jhardin.r1908078.log to corpus/usable-corpus-set0/spam-jhardin.r1908078.log
Linked ham-jhardin.r1908078.log to corpus/usable-corpus-set0/ham-jhardin.r1908078.log
Linked ham-tsz-spam-corpus.r1908078.log to corpus/usable-corpus-set0/ham-tsz-spam-corpus.r1908078.log

Majority SVN revision found: 1908078

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# SVN revision: 1908078
 HAM CONTRIBUTORS FOUND: 13 (required 8)
SPAM CONTRIBUTORS FOUND: 13 (required 8)
Mon 06 Mar 2023 02:35:13 AM UTC
[ checking out code from svn repository ]
+ svn co -r 1908078 http://svn.apache.org/repos/asf/spamassassin/trunk trunk-new-rules-set0
A    trunk-new-rules-set0/rules
A    trunk-new-rules-set0/rules/v343.pre
A    trunk-new-rules-set0/rules/active.list
A    trunk-new-rules-set0/rules/20_mailspike.cf
A    trunk-new-rules-set0/rules/25_url_shortener.cf
A    trunk-new-rules-set0/rules/30_text_fr.cf
A    trunk-new-rules-set0/rules/60_awl.cf
A    trunk-new-rules-set0/rules/init.pre
A    trunk-new-rules-set0/rules/25_dkim.cf
A    trunk-new-rules-set0/rules/25_dcc.cf
A    trunk-new-rules-set0/rules/25_uribl.cf
A    trunk-new-rules-set0/rules/v342.pre
A    trunk-new-rules-set0/rules/25_razor2.cf
A    trunk-new-rules-set0/rules/30_text_de.cf
A    trunk-new-rules-set0/rules/20_dynrdns.cf
A    trunk-new-rules-set0/rules/10_hasbase.cf
A    trunk-new-rules-set0/rules/25_asn.cf
A    trunk-new-rules-set0/rules/20_phrases.cf
A    trunk-new-rules-set0/rules/30_text_pt_br.cf
A    trunk-new-rules-set0/rules/50_scores.cf
A    trunk-new-rules-set0/rules/local.cf
A    trunk-new-rules-set0/rules/60_welcomelist.cf
A    trunk-new-rules-set0/rules/20_meta_tests.cf
A    trunk-new-rules-set0/rules/20_compensate.cf
A    trunk-new-rules-set0/rules/20_head_tests.cf
A    trunk-new-rules-set0/rules/20_html_tests.cf
A    trunk-new-rules-set0/rules/20_pdfinfo.cf
A    trunk-new-rules-set0/rules/regression_tests.cf
A    trunk-new-rules-set0/rules/20_aux_tlds.cf
A    trunk-new-rules-set0/rules/30_text_nl.cf
A    trunk-new-rules-set0/rules/25_dnswl.cf
A    trunk-new-rules-set0/rules/60_adsp_override_dkim.cf
A    trunk-new-rules-set0/rules/languages
A    trunk-new-rules-set0/rules/20_fake_helo_tests.cf
A    trunk-new-rules-set0/rules/20_ratware.cf
A    trunk-new-rules-set0/rules/20_drugs.cf
A    trunk-new-rules-set0/rules/25_replace.cf
A    trunk-new-rules-set0/rules/20_body_tests.cf
A    trunk-new-rules-set0/rules/20_freemail_mailcom_domains.cf
A    trunk-new-rules-set0/rules/23_bayes.cf
A    trunk-new-rules-set0/rules/20_imageinfo.cf
A    trunk-new-rules-set0/rulesrc
A    trunk-new-rules-set0/rulesrc/scores
A    trunk-new-rules-set0/rules/60_welcomelist_auth.cf
A    trunk-new-rules-set0/rules/v400.pre
A    trunk-new-rules-set0/rules/25_dmarc.cf
A    trunk-new-rules-set0/rules/60_welcomelist_dkim.cf
A    trunk-new-rules-set0/rules/60_welcomelist_spf.cf
A    trunk-new-rules-set0/rules/60_welcomelist_subject.cf
A    trunk-new-rules-set0/rules/v310.pre
A    trunk-new-rules-set0/rules/v312.pre
A    trunk-new-rules-set0/rules/v341.pre
A    trunk-new-rules-set0/rules/20_dnsbl_tests.cf
A    trunk-new-rules-set0/rules/20_vbounce.cf
A    trunk-new-rules-set0/rules/30_text_pl.cf
A    trunk-new-rules-set0/rules/60_shortcircuit.cf
A    trunk-new-rules-set0/rules/25_pyzor.cf
A    trunk-new-rules-set0/rules/20_freemail_domains.cf
A    trunk-new-rules-set0/rules/60_bayes_stopwords.cf
A    trunk-new-rules-set0/rules/73_sandbox_manual_scores.cf
A    trunk-new-rules-set0/rules/20_uri_tests.cf
A    trunk-new-rules-set0/rules/user_prefs.template
A    trunk-new-rules-set0/rules/20_freemail.cf
A    trunk-new-rules-set0/rules/10_default_prefs.cf
A    trunk-new-rules-set0/rules/25_spf.cf
A    trunk-new-rules-set0/rules/60_txrep.cf
A    trunk-new-rules-set0/rulesrc/sandbox
A    trunk-new-rules-set0/rulesrc/sandbox/jhardin
A    trunk-new-rules-set0/rulesrc/sandbox/axb
A    trunk-new-rules-set0/rules/v340.pre
A    trunk-new-rules-set0/rules/STATISTICS-set2.txt
A    trunk-new-rules-set0/rules/STATISTICS-set1.txt
A    trunk-new-rules-set0/rules/20_net_tests.cf
A    trunk-new-rules-set0/rulesrc/sandbox/pds
A    trunk-new-rules-set0/rules/sa-update-pubkey.txt
A    trunk-new-rules-set0/rules/STATISTICS-set0.txt
A    trunk-new-rules-set0/rules/v330.pre
A    trunk-new-rules-set0/rules/svn_only.pre
A    trunk-new-rules-set0/rules/30_text_it.cf
A    trunk-new-rules-set0/rules/20_porn.cf
A    trunk-new-rules-set0/rules/20_advance_fee.cf
A    trunk-new-rules-set0/rules/STATISTICS-set3.txt
A    trunk-new-rules-set0/rules/v320.pre
A    trunk-new-rules-set0/rules/25_antivirus.cf
A    trunk-new-rules-set0/rules/25_accessdb.cf
A    trunk-new-rules-set0/rulesrc/scores/72_scores.cf
A    trunk-new-rules-set0/rules/25_textcat.cf
A    trunk-new-rules-set0/rulesrc/sandbox/hege
A    trunk-new-rules-set0/rulesrc/scores/scores-set0
A    trunk-new-rules-set0/rulesrc/scores/scores-set2
A    trunk-new-rules-set0/rulesrc/scores/stats-set2
A    trunk-new-rules-set0/rulesrc/scores/scores-set3
A    trunk-new-rules-set0/rulesrc/scores/stats-set3
A    trunk-new-rules-set0/rulesrc/sandbox/gbechis
A    trunk-new-rules-set0/rulesrc/scores/stats-set0
A    trunk-new-rules-set0/rulesrc/scores/scores-set1
A    trunk-new-rules-set0/rulesrc/sandbox/jhardin/20_lotsa_money.cf
A    trunk-new-rules-set0/rulesrc/scores/stats-set1
A    trunk-new-rules-set0/rulesrc/sandbox/jhardin/40_local_googlestorage.cf
A    trunk-new-rules-set0/rulesrc/sandbox/jhardin/20_shared_subrules.cf
A    trunk-new-rules-set0/rulesrc/sandbox/jhardin/20_uri_obfu_ws.cf
A    trunk-new-rules-set0/rulesrc/sandbox/axb/20_axb_misc.cf
A    trunk-new-rules-set0/rulesrc/sandbox/jhardin/40_local_419replyto.cf
A    trunk-new-rules-set0/rulesrc/sandbox/pds/20_ntld.cf
A    trunk-new-rules-set0/rulesrc/sandbox/jhardin/20_fillform.cf
A    trunk-new-rules-set0/rulesrc/sandbox/jhardin/40_local_azurephish.cf
A    trunk-new-rules-set0/rulesrc/sandbox/sidney
A    trunk-new-rules-set0/rulesrc/sandbox/billcole
A    trunk-new-rules-set0/rulesrc/sandbox/jhardin/20_MIME_no_text.cf
A    trunk-new-rules-set0/rulesrc/sandbox/pds/10_menaces.cf
A    trunk-new-rules-set0/rulesrc/sandbox/jhardin/20_misc_testing.cf
A    trunk-new-rules-set0/rulesrc/sandbox/jhardin/20_tbird_image_spam.cf
A    trunk-new-rules-set0/rulesrc/sandbox/jhardin/20_thirdparty.cf
A    trunk-new-rules-set0/rulesrc/sandbox/axb/20_axb_pdf.cf
A    trunk-new-rules-set0/rulesrc/sandbox/khopesh
A    trunk-new-rules-set0/rulesrc/sandbox/pds/20_helo.cf
A    trunk-new-rules-set0/rulesrc/sandbox/jhardin/20_advance_fee_reevolved.cf
A    trunk-new-rules-set0/rulesrc/sandbox/jhardin/20_postcards.cf
A    trunk-new-rules-set0/rulesrc/sandbox/jhardin/20_MIME_in_body.cf
A    trunk-new-rules-set0/rulesrc/sandbox/axb/README
A    trunk-new-rules-set0/rulesrc/sandbox/pds/20_urlshort.cf
A    trunk-new-rules-set0/rulesrc/sandbox/pds/20_fns.cf
A    trunk-new-rules-set0/rulesrc/sandbox/pds/20_html.cf
A    trunk-new-rules-set0/rulesrc/sandbox/pds/20_php.cf
A    trunk-new-rules-set0/rulesrc/sandbox/pds/20_dkimwl.cf
A    trunk-new-rules-set0/rulesrc/sandbox/pds/20_cashshorteners.cf
A    trunk-new-rules-set0/rulesrc/sandbox/axb/23_bayes_ignore_header.cf
A    trunk-new-rules-set0/rulesrc/sandbox/axb/20_xmailer.cf
A    trunk-new-rules-set0/rulesrc/sandbox/pds/20_cpanel.cf
A    trunk-new-rules-set0/rulesrc/sandbox/pds/20_freshfmb.cf
A    trunk-new-rules-set0/rulesrc/sandbox/dos
A    trunk-new-rules-set0/rulesrc/sandbox/pds/20_btc.cf
A    trunk-new-rules-set0/rulesrc/sandbox/pds/20_banks.cf
A    trunk-new-rules-set0/rulesrc/sandbox/pds/20_gdocs.cf
A    trunk-new-rules-set0/rulesrc/sandbox/dos/new-rule-score-gen
A    trunk-new-rules-set0/rulesrc/sandbox/hege/20_hk.cf
A    trunk-new-rules-set0/rulesrc/sandbox/pds/20_spf.cf
A    trunk-new-rules-set0/rulesrc/sandbox/pds/20_gov.cf
A    trunk-new-rules-set0/rulesrc/sandbox/hege/20_bug5523.cf
A    trunk-new-rules-set0/rulesrc/sandbox/hege/20_bug6353.cf
A    trunk-new-rules-set0/rulesrc/sandbox/hege/20_html.cf
A    trunk-new-rules-set0/rulesrc/sandbox/hege/20_bug5804.cf
A    trunk-new-rules-set0/rulesrc/sandbox/hege/20_bug6346.cf
A    trunk-new-rules-set0/rulesrc/sandbox/hege/20_bug6448.cf
A    trunk-new-rules-set0/rulesrc/sandbox/gbechis/20_freemail.cf
A    trunk-new-rules-set0/rulesrc/sandbox/gbechis/20_misc.cf
A    trunk-new-rules-set0/rulesrc/sandbox/smf
A    trunk-new-rules-set0/rulesrc/sandbox/felicity
A    trunk-new-rules-set0/rulesrc/sandbox/gbechis/20_xmr.cf
A    trunk-new-rules-set0/rulesrc/sandbox/gbechis/20_html.cf
A    trunk-new-rules-set0/rulesrc/sandbox/billcole/21_bug_7219.cf
A    trunk-new-rules-set0/rulesrc/sandbox/gbechis/20_wp.cf
A    trunk-new-rules-set0/rulesrc/sandbox/sidney/70_other.cf
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A    trunk-new-rules-set0/debian/spamassassin.README.Debian
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A    trunk-new-rules-set0/rules-base/60_whitelist_spf.cf
A    trunk-new-rules-set0/rules-base/svn_only.pre
A    trunk-new-rules-set0/rules-base/20_compensate.cf
A    trunk-new-rules-set0/rules-base/20_advance_fee.cf
A    trunk-new-rules-set0/rules-base/50_scores.cf
A    trunk-new-rules-set0/rules-base/20_freemail_domains.cf
A    trunk-new-rules-set0/rules-base/60_whitelist_dkim.cf
A    trunk-new-rules-set0/rules-base/regression_tests.cf
A    trunk-new-rules-set0/rules-base/30_text_it.cf
A    trunk-new-rules-set0/rules-base/60_whitelist_subject.cf
A    trunk-new-rules-set0/rules-base/25_hashcash.cf
A    trunk-new-rules-set0/rules-base/25_antivirus.cf
A    trunk-new-rules-set0/rules-base/user_prefs.template
A    trunk-new-rules-set0/rules-base/25_accessdb.cf
A    trunk-new-rules-set0/rules-base/10_default_prefs.cf
A    trunk-new-rules-set0/rules-base/20_fake_helo_tests.cf
A    trunk-new-rules-set0/rules-base/30_text_pl.cf
A    trunk-new-rules-set0/rules-base/30_text_de.cf
A    trunk-new-rules-set0/rules-base/30_text_fr.cf
A    trunk-new-rules-set0/rules-base/30_text_nl.cf
A    trunk-new-rules-set0/rules-base/20_dnsbl_tests.cf
A    trunk-new-rules-set0/rules-base/STATISTICS-set0.txt
A    trunk-new-rules-set0/rules-base/STATISTICS-set1.txt
A    trunk-new-rules-set0/rules-base/STATISTICS-set2.txt
A    trunk-new-rules-set0/rules-base/STATISTICS-set3.txt
A    trunk-new-rules-set0/rules-base/25_uribl.cf
A    trunk-new-rules-set0/rules-base/25_dkim.cf
A    trunk-new-rules-set0/rules-base/20_freemail.cf
A    trunk-new-rules-set0/rules-base/20_html_tests.cf
A    trunk-new-rules-set0/rules-base/25_replace.cf
A    trunk-new-rules-set0/rules-base/20_body_tests.cf
A    trunk-new-rules-set0/rules-base/local.cf
A    trunk-new-rules-set0/rules-base/60_shortcircuit.cf
A    trunk-new-rules-set0/rules-base/20_ratware.cf
A    trunk-new-rules-set0/rules-base/v330.pre
A    trunk-new-rules-set0/rules-base/60_adsp_override_dkim.cf
A    trunk-new-rules-set0/rules-base/v310.pre
A    trunk-new-rules-set0/rules-base/25_pyzor.cf
A    trunk-new-rules-set0/rules-base/20_net_tests.cf
A    trunk-new-rules-set0/rules-base/20_phrases.cf
A    trunk-new-rules-set0/rules-base/v320.pre
A    trunk-new-rules-set0/rules-base/25_asn.cf
A    trunk-new-rules-set0/rules-base/20_drugs.cf
A    trunk-new-rules-set0/rules-base/20_porn.cf
A    trunk-new-rules-set0/rules-base/60_awl.cf
A    trunk-new-rules-set0/rules-base/25_textcat.cf
A    trunk-new-rules-set0/rules-base/languages
 U   trunk-new-rules-set0/rules-base
Checked out revision 1908105.
+ svn co http://svn.apache.org/repos/asf/spamassassin/trunk/rules trunk-new-rules-set0/rules-current
A    trunk-new-rules-set0/rules-current/active.list
A    trunk-new-rules-set0/rules-current/25_url_shortener.cf
A    trunk-new-rules-set0/rules-current/25_dkim.cf
A    trunk-new-rules-set0/rules-current/25_dcc.cf
A    trunk-new-rules-set0/rules-current/v343.pre
A    trunk-new-rules-set0/rules-current/20_mailspike.cf
A    trunk-new-rules-set0/rules-current/30_text_fr.cf
A    trunk-new-rules-set0/rules-current/60_awl.cf
A    trunk-new-rules-set0/rules-current/init.pre
A    trunk-new-rules-set0/rules-current/25_uribl.cf
A    trunk-new-rules-set0/rules-current/v342.pre
A    trunk-new-rules-set0/rules-current/30_text_de.cf
A    trunk-new-rules-set0/rules-current/30_text_pt_br.cf
A    trunk-new-rules-set0/rules-current/25_razor2.cf
A    trunk-new-rules-set0/rules-current/20_dynrdns.cf
A    trunk-new-rules-set0/rules-current/10_hasbase.cf
A    trunk-new-rules-set0/rules-current/25_asn.cf
A    trunk-new-rules-set0/rules-current/20_phrases.cf
A    trunk-new-rules-set0/rules-current/50_scores.cf
A    trunk-new-rules-set0/rules-current/local.cf
A    trunk-new-rules-set0/rules-current/60_welcomelist.cf
A    trunk-new-rules-set0/rules-current/20_meta_tests.cf
A    trunk-new-rules-set0/rules-current/20_compensate.cf
A    trunk-new-rules-set0/rules-current/20_head_tests.cf
A    trunk-new-rules-set0/rules-current/20_html_tests.cf
A    trunk-new-rules-set0/rules-current/20_pdfinfo.cf
A    trunk-new-rules-set0/rules-current/20_aux_tlds.cf
A    trunk-new-rules-set0/rules-current/20_freemail.cf
A    trunk-new-rules-set0/rules-current/25_dnswl.cf
A    trunk-new-rules-set0/rules-current/regression_tests.cf
A    trunk-new-rules-set0/rules-current/20_freemail_mailcom_domains.cf
A    trunk-new-rules-set0/rules-current/languages
A    trunk-new-rules-set0/rules-current/20_fake_helo_tests.cf
A    trunk-new-rules-set0/rules-current/20_ratware.cf
A    trunk-new-rules-set0/rules-current/20_drugs.cf
A    trunk-new-rules-set0/rules-current/25_replace.cf
A    trunk-new-rules-set0/rules-current/20_body_tests.cf
A    trunk-new-rules-set0/rules-current/10_default_prefs.cf
A    trunk-new-rules-set0/rules-current/60_welcomelist_auth.cf
A    trunk-new-rules-set0/rules-current/v400.pre
A    trunk-new-rules-set0/rules-current/25_dmarc.cf
A    trunk-new-rules-set0/rules-current/60_welcomelist_dkim.cf
A    trunk-new-rules-set0/rules-current/60_welcomelist_spf.cf
A    trunk-new-rules-set0/rules-current/60_welcomelist_subject.cf
A    trunk-new-rules-set0/rules-current/v310.pre
A    trunk-new-rules-set0/rules-current/v312.pre
A    trunk-new-rules-set0/rules-current/v341.pre
A    trunk-new-rules-set0/rules-current/20_dnsbl_tests.cf
A    trunk-new-rules-set0/rules-current/20_vbounce.cf
A    trunk-new-rules-set0/rules-current/30_text_pl.cf
A    trunk-new-rules-set0/rules-current/60_shortcircuit.cf
A    trunk-new-rules-set0/rules-current/25_pyzor.cf
A    trunk-new-rules-set0/rules-current/20_freemail_domains.cf
A    trunk-new-rules-set0/rules-current/60_bayes_stopwords.cf
A    trunk-new-rules-set0/rules-current/73_sandbox_manual_scores.cf
A    trunk-new-rules-set0/rules-current/20_uri_tests.cf
A    trunk-new-rules-set0/rules-current/user_prefs.template
A    trunk-new-rules-set0/rules-current/30_text_nl.cf
A    trunk-new-rules-set0/rules-current/23_bayes.cf
A    trunk-new-rules-set0/rules-current/60_txrep.cf
A    trunk-new-rules-set0/rules-current/20_imageinfo.cf
A    trunk-new-rules-set0/rules-current/STATISTICS-set0.txt
A    trunk-new-rules-set0/rules-current/STATISTICS-set1.txt
A    trunk-new-rules-set0/rules-current/20_net_tests.cf
A    trunk-new-rules-set0/rules-current/v330.pre
A    trunk-new-rules-set0/rules-current/25_spf.cf
A    trunk-new-rules-set0/rules-current/v340.pre
A    trunk-new-rules-set0/rules-current/60_adsp_override_dkim.cf
A    trunk-new-rules-set0/rules-current/20_advance_fee.cf
A    trunk-new-rules-set0/rules-current/STATISTICS-set3.txt
A    trunk-new-rules-set0/rules-current/STATISTICS-set2.txt
A    trunk-new-rules-set0/rules-current/svn_only.pre
A    trunk-new-rules-set0/rules-current/20_porn.cf
A    trunk-new-rules-set0/rules-current/v320.pre
A    trunk-new-rules-set0/rules-current/25_accessdb.cf
A    trunk-new-rules-set0/rules-current/sa-update-pubkey.txt
A    trunk-new-rules-set0/rules-current/30_text_it.cf
A    trunk-new-rules-set0/rules-current/25_textcat.cf
A    trunk-new-rules-set0/rules-current/25_antivirus.cf
 U   trunk-new-rules-set0/rules-current
Checked out revision 1908105.
+ svn up -r 1908078 trunk-new-rules-set0/rulesrc/
Updating 'trunk-new-rules-set0/rulesrc':
At revision 1908078.
+ svn up trunk-new-rules-set0/masses/
Updating 'trunk-new-rules-set0/masses':
At revision 1908105.
+ svn up trunk-new-rules-set0/build/
Updating 'trunk-new-rules-set0/build':
At revision 1908105.
+ cd trunk-new-rules-set0/masses
+ patch
patching file Makefile
Hunk #1 succeeded at 37 (offset 1 line).
+ cp rule-update-score-gen/lock-scores .
+ cp rule-update-score-gen/extract-new-scores .
+ cp rule-update-score-gen/add-hitless-active-to-freqs .
+ cd ..
+ date
Mon 06 Mar 2023 02:35:20 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 IP::Country::Fast module is not installed.

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


***************************************************************************
NOTE: the optional DBD::SQLite module is not installed,
minimum required version is 1.59.

  If you intend to use SpamAssassin with SQLite as the SQL database
  backend for the DBI module, this is the DBD driver required. Version 1.59_01
  or later is needed to provide SQLite 3.25.0 or later.


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

  Mail::DMARC is used by the optional DMARC plugin.

checking binary dependencies and their versions...
Warning: prerequisite Devel::Cycle 0 not found.
Warning: prerequisite Perl::Critic::Policy::Perlsecret 0 not found.
Warning: prerequisite Perl::Critic::Policy::TestingAndDebugging::ProhibitNoStrict 0 not found.
Warning: prerequisite Text::Diff 0 not found.

***************************************************************************
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: IP::Country::Fast
optional module missing: DBD::SQLite
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
Mon 06 Mar 2023 02:35:43 AM UTC
+ echo '[ running log-grep-recent ]'
[ running log-grep-recent ]
+ pwd
/usr/local/spamassassin/automc/tmp/generate-new-scores/trunk-new-rules-set0
+ echo -e '\nmasses/log-grep-recent -m 96 ../corpus/usable-corpus-set0/ham-*.log > masses/ham-full.log'

masses/log-grep-recent -m 96 ../corpus/usable-corpus-set0/ham-*.log > masses/ham-full.log
+ masses/log-grep-recent -m 96 ../corpus/usable-corpus-set0/ham-ena-week3.r1908078.log ../corpus/usable-corpus-set0/ham-ena-week4.r1908078.log ../corpus/usable-corpus-set0/ham-giovanni-ham.r1908078.log ../corpus/usable-corpus-set0/ham-giovanni-spammy.r1908078.log ../corpus/usable-corpus-set0/ham-giovanni-spam.r1908078.log ../corpus/usable-corpus-set0/ham-hege.r1908078.log ../corpus/usable-corpus-set0/ham-jhardin.r1908078.log ../corpus/usable-corpus-set0/ham-llanga.r1908078.log ../corpus/usable-corpus-set0/ham-mmiroslaw-mails-ham.r1908078.log ../corpus/usable-corpus-set0/ham-mmiroslaw-mails-spam.r1908078.log ../corpus/usable-corpus-set0/ham-spamsponge.r1908078.log ../corpus/usable-corpus-set0/ham-thendrikx.r1908078.log ../corpus/usable-corpus-set0/ham-tsz-spam-corpus.r1908078.log
Month distribution:

   17959 (  6%)     17959   0-1 months old
   38124 ( 14%)     20165   1-2 months old
   39484 ( 14%)      1360   2-3 months old
   40924 ( 15%)      1440   3-4 months old
   42725 ( 15%)      1801   4-5 months old
   58287 ( 21%)     15562   5-6 months old
   81524 ( 30%)     23237   6-7 months old
   83879 ( 31%)      2355   7-8 months old
   87001 ( 32%)      3122   8-9 months old
  105185 ( 39%)     18184   9-10 months old
  108938 ( 40%)      3753  10-11 months old
  111752 ( 41%)      2814  11-12 months old
  114562 ( 42%)      2810  12-13 months old
  117538 ( 43%)      2976  13-14 months old
  136967 ( 51%)     19429  14-15 months old
  140532 ( 52%)      3565  15-16 months old
  144444 ( 53%)      3912  16-17 months old
  148040 ( 55%)      3596  17-18 months old
  151195 ( 56%)      3155  18-19 months old
  153707 ( 57%)      2512  19-20 months old
  156924 ( 58%)      3217  20-21 months old
  160298 ( 59%)      3374  21-22 months old
  164967 ( 61%)      4669  22-23 months old
  166675 ( 62%)      1708  23-24 months old
  168337 ( 62%)      1662  24-25 months old
  170402 ( 63%)      2065  25-26 months old
  171878 ( 64%)      1476  26-27 months old
  173447 ( 64%)      1569  27-28 months old
  175034 ( 65%)      1587  28-29 months old
  176532 ( 65%)      1498  29-30 months old
  177918 ( 66%)      1386  30-31 months old
  179190 ( 66%)      1272  31-32 months old
  182612 ( 68%)      3422  32-33 months old
  186247 ( 69%)      3635  33-34 months old
  190614 ( 71%)      4367  34-35 months old
  194538 ( 72%)      3924  35-36 months old
  198688 ( 74%)      4150  36-37 months old
  202018 ( 75%)      3330  37-38 months old
  204707 ( 76%)      2689  38-39 months old
  208389 ( 77%)      3682  39-40 months old
  211796 ( 79%)      3407  40-41 months old
  215675 ( 80%)      3879  41-42 months old
  218772 ( 81%)      3097  42-43 months old
  221747 ( 82%)      2975  43-44 months old
  224865 ( 84%)      3118  44-45 months old
  228495 ( 85%)      3630  45-46 months old
  232562 ( 86%)      4067  46-47 months old
  237758 ( 88%)      5196  47-48 months old
  242199 ( 90%)      4441  48-49 months old
  245479 ( 91%)      3280  49-50 months old
  248580 ( 92%)      3101  50-51 months old
  252004 ( 94%)      3424  51-52 months old
  255796 ( 95%)      3792  52-53 months old
  259974 ( 97%)      4178  53-54 months old
  263298 ( 98%)      3324  54-55 months old
  263672 ( 98%)       374  55-56 months old
  263974 ( 98%)       302  56-57 months old
  264429 ( 98%)       455  57-58 months old
  264864 ( 98%)       435  58-59 months old
  265265 ( 99%)       401  59-60 months old
  265707 ( 99%)       442  60-61 months old
  266032 ( 99%)       325  61-62 months old
  266427 ( 99%)       395  62-63 months old
  266628 ( 99%)       201  63-64 months old
  266887 ( 99%)       259  64-65 months old
  267065 ( 99%)       178  65-66 months old
  267242 ( 99%)       177  66-67 months old
  267297 ( 99%)        55  67-68 months old
  267340 ( 99%)        43  68-69 months old
  267396 ( 99%)        56  69-70 months old
  267464 ( 99%)        68  70-71 months old
  267558 ( 99%)        94  71-72 months old
  267661 ( 99%)       103  72-73 months old
  267664 (100%)         3  73-74 months old
+ echo -e '\nmasses/log-grep-recent -m 3 ../corpus/usable-corpus-set0/spam-*.log > masses/spam-full.log'

masses/log-grep-recent -m 3 ../corpus/usable-corpus-set0/spam-*.log > masses/spam-full.log
+ masses/log-grep-recent -m 3 ../corpus/usable-corpus-set0/spam-ena-week3.r1908078.log ../corpus/usable-corpus-set0/spam-ena-week4.r1908078.log ../corpus/usable-corpus-set0/spam-giovanni-ham.r1908078.log ../corpus/usable-corpus-set0/spam-giovanni-spammy.r1908078.log ../corpus/usable-corpus-set0/spam-giovanni-spam.r1908078.log ../corpus/usable-corpus-set0/spam-hege.r1908078.log ../corpus/usable-corpus-set0/spam-jhardin.r1908078.log ../corpus/usable-corpus-set0/spam-llanga.r1908078.log ../corpus/usable-corpus-set0/spam-mmiroslaw-mails-ham.r1908078.log ../corpus/usable-corpus-set0/spam-mmiroslaw-mails-spam.r1908078.log ../corpus/usable-corpus-set0/spam-spamsponge.r1908078.log ../corpus/usable-corpus-set0/spam-thendrikx.r1908078.log ../corpus/usable-corpus-set0/spam-tsz-spam-corpus.r1908078.log
Month distribution:

   52644 ( 72%)     52644   0-1 months old
   72352 ( 99%)     19708   1-2 months old
   72355 (100%)         3   2-3 months old
++ wc -l masses/ham-full.log
++ sed -e 's/^[ \t]*//'
++ cut '-d ' -f1
+ HAMCOUNT=267664
++ wc -l masses/spam-full.log
++ sed -e 's/^[ \t]*//'
++ cut '-d ' -f1
+ SPAMCOUNT=72355
+ echo ' HAM: 267664 (100000 required)'
 HAM: 267664 (100000 required)
+ echo 'SPAM: 72355 (80000 required)'
SPAM: 72355 (80000 required)
+ [[ 267664 -lt 100000 ]]
+ [[ 72355 -lt 80000 ]]
+ echo 'Insufficient spam corpus to generate scores; aborting.'
Insufficient spam corpus to generate scores; aborting.
+ exit 9
+ RV=9
+ '[' 9 -ne 0 ']'
+ echo 'Exit Status 9 is not zero for do-nightly-rescore-example'
Exit Status 9 is not zero for do-nightly-rescore-example
+ /usr/sbin/sendmail -oi ruleqa@spamassassin.apache.org
+ echo 'From: noreply@spamassassin.apache.org (automc Cron)'
+ echo 'Subject: [auto] do-nightly-rescore-example return code 9'
+ echo ''
+ echo 'Exit Status 9 is not zero for do-nightly-rescore-example.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