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From r...@sa-vm1.apache.org (Cron Daemon)
Subject Cron <automc@sa-vm1> ~/svn/trunk/build/mkupdates/do-stable-update-with-scores
Date Fri, 02 Jun 2017 02:32:43 GMT
+ echo ''\''Running do-nightly-rescore-example.sh ...'
'Running do-nightly-rescore-example.sh ...
+ echo ''

+ /usr/local/spamassassin/automc/svn/masses/rule-update-score-gen/do-nightly-rescore-example.sh
Not Beginning of Week.  Running with 1 first.
/usr/local/spamassassin/automc/tmp/generate-new-scores
Fri Jun  2 02:25:01 UTC 2017
[ rsyncing logs ]
[ rsyncing logs locally ]
sending incremental file list

sent 2,773 bytes  received 12 bytes  5,570.00 bytes/sec
total size is 3,855,596,016  speedup is 1,384,415.09
Fri Jun  2 02:25:02 UTC 2017
[ selecting log files to use for scoreset 1 ]
Linked spam-net-axb-ninja.log to corpus/usable-corpus-set1/spam-net-axb-ninja.log
Linked spam-net-ena.log to corpus/usable-corpus-set1/spam-net-ena.log
Linked spam-net-grenier.log to corpus/usable-corpus-set1/spam-net-grenier.log
Linked ham-net-bb-jhardin.log to corpus/usable-corpus-set1/ham-net-bb-jhardin.log
Linked ham-net-bb-traps.log to corpus/usable-corpus-set1/ham-net-bb-traps.log
Linked ham-net-kpg-core.log to corpus/usable-corpus-set1/ham-net-kpg-core.log
Linked spam-net-kgolding.log to corpus/usable-corpus-set1/spam-net-kgolding.log
Linked ham-net-axb-8mile.log to corpus/usable-corpus-set1/ham-net-axb-8mile.log
Linked ham-net-bb-kmcgrail.log to corpus/usable-corpus-set1/ham-net-bb-kmcgrail.log
Linked ham-net-jarif.log to corpus/usable-corpus-set1/ham-net-jarif.log
Linked spam-net-thendrikx.log to corpus/usable-corpus-set1/spam-net-thendrikx.log
Linked spam-net-bb-jm.log to corpus/usable-corpus-set1/spam-net-bb-jm.log
Linked spam-net-bb-jhardin_fraud.log to corpus/usable-corpus-set1/spam-net-bb-jhardin_fraud.log
Linked spam-net-bb-kmcgrail.log to corpus/usable-corpus-set1/spam-net-bb-kmcgrail.log
Linked ham-net-axb-ham-misc.log to corpus/usable-corpus-set1/ham-net-axb-ham-misc.log
Linked ham-net-bb-jhardin_fraud.log to corpus/usable-corpus-set1/ham-net-bb-jhardin_fraud.log
Linked spam-net-bb-traps.log to corpus/usable-corpus-set1/spam-net-bb-traps.log
Linked ham-net-axb-coi-bulk.log to corpus/usable-corpus-set1/ham-net-axb-coi-bulk.log
Linked spam-net-dwarren.log to corpus/usable-corpus-set1/spam-net-dwarren.log
Linked spam-net-axb-generic.log to corpus/usable-corpus-set1/spam-net-axb-generic.log
Linked spam-net-zmi.log to corpus/usable-corpus-set1/spam-net-zmi.log
Linked spam-net-bb-guenther_fraud.log to corpus/usable-corpus-set1/spam-net-bb-guenther_fraud.log
Linked spam-net-kam-ninja.log to corpus/usable-corpus-set1/spam-net-kam-ninja.log
Linked ham-net-axb-ninja.log to corpus/usable-corpus-set1/ham-net-axb-ninja.log
Linked spam-net-mmiroslaw-ham.log to corpus/usable-corpus-set1/spam-net-mmiroslaw-ham.log
Linked ham-net-zmi.log to corpus/usable-corpus-set1/ham-net-zmi.log
Linked spam-net-kpg-core.log to corpus/usable-corpus-set1/spam-net-kpg-core.log
Linked ham-net-bb-guenther_fraud.log to corpus/usable-corpus-set1/ham-net-bb-guenther_fraud.log
Linked ham-net-grenier.log to corpus/usable-corpus-set1/ham-net-grenier.log
Linked ham-net-mmiroslaw-ham.log to corpus/usable-corpus-set1/ham-net-mmiroslaw-ham.log
Linked spam-net-bernie-fsf.log to corpus/usable-corpus-set1/spam-net-bernie-fsf.log
Linked ham-net-bernie-mix.log to corpus/usable-corpus-set1/ham-net-bernie-mix.log
Linked ham-net-kgolding.log to corpus/usable-corpus-set1/ham-net-kgolding.log
Linked ham-net-kam-ninja.log to corpus/usable-corpus-set1/ham-net-kam-ninja.log
Linked spam-net-bb-jhardin.log to corpus/usable-corpus-set1/spam-net-bb-jhardin.log
Linked spam-net-darxus.log to corpus/usable-corpus-set1/spam-net-darxus.log
Linked ham-net-bernie-fsf.log to corpus/usable-corpus-set1/ham-net-bernie-fsf.log
Linked spam-net-axb-ham-misc.log to corpus/usable-corpus-set1/spam-net-axb-ham-misc.log
Linked ham-net-bernie-it_batt.log to corpus/usable-corpus-set1/ham-net-bernie-it_batt.log
Linked ham-net-darxus.log to corpus/usable-corpus-set1/ham-net-darxus.log
Linked ham-net-thendrikx.log to corpus/usable-corpus-set1/ham-net-thendrikx.log
Linked spam-net-jarif.log to corpus/usable-corpus-set1/spam-net-jarif.log
Linked spam-net-axb-coi-bulk.log to corpus/usable-corpus-set1/spam-net-axb-coi-bulk.log
Linked ham-net-ena.log to corpus/usable-corpus-set1/ham-net-ena.log
Linked ham-net-bb-jm.log to corpus/usable-corpus-set1/ham-net-bb-jm.log
Linked spam-net-bernie-it_batt.log to corpus/usable-corpus-set1/spam-net-bernie-it_batt.log
Linked ham-net-dwarren.log to corpus/usable-corpus-set1/ham-net-dwarren.log
Linked spam-net-bernie-mix.log to corpus/usable-corpus-set1/spam-net-bernie-mix.log
Linked spam-net-bpoliakoff.log to corpus/usable-corpus-set1/spam-net-bpoliakoff.log
Linked ham-net-bb-zmi.log to corpus/usable-corpus-set1/ham-net-bb-zmi.log
Linked ham-net-mmiroslaw-spam.log to corpus/usable-corpus-set1/ham-net-mmiroslaw-spam.log
Linked spam-net-mmiroslaw-spam.log to corpus/usable-corpus-set1/spam-net-mmiroslaw-spam.log
Linked spam-net-bb-zmi.log to corpus/usable-corpus-set1/spam-net-bb-zmi.log
Linked ham-net-axb-generic.log to corpus/usable-corpus-set1/ham-net-axb-generic.log
Linked ham-net-bpoliakoff.log to corpus/usable-corpus-set1/ham-net-bpoliakoff.log
Linked spam-net-axb-8mile.log to corpus/usable-corpus-set1/spam-net-axb-8mile.log
Checking corpus/usable-corpus-set1/spam-net-axb-ninja.log for SVN 1779702...
# SVN revision: 1779702
Checking corpus/usable-corpus-set1/spam-net-ena.log for SVN 1779702...
# SVN revision: 1779702
Checking corpus/usable-corpus-set1/spam-net-grenier.log for SVN 1779702...
# SVN revision: 1779702
Checking corpus/usable-corpus-set1/ham-net-bb-jhardin.log for SVN 1779702...
corpus/usable-corpus-set1/ham-net-bb-jhardin.log does not meet the requirements
Checking corpus/usable-corpus-set1/ham-net-bb-traps.log for SVN 1779702...
corpus/usable-corpus-set1/ham-net-bb-traps.log does not meet the requirements
Checking corpus/usable-corpus-set1/ham-net-kpg-core.log for SVN 1779702...
corpus/usable-corpus-set1/ham-net-kpg-core.log does not meet the requirements
Checking corpus/usable-corpus-set1/spam-net-kgolding.log for SVN 1779702...
# SVN revision: 1779702
Checking corpus/usable-corpus-set1/ham-net-axb-8mile.log for SVN 1779702...
corpus/usable-corpus-set1/ham-net-axb-8mile.log does not meet the requirements
Checking corpus/usable-corpus-set1/ham-net-bb-kmcgrail.log for SVN 1779702...
corpus/usable-corpus-set1/ham-net-bb-kmcgrail.log does not meet the requirements
Checking corpus/usable-corpus-set1/ham-net-jarif.log for SVN 1779702...
# SVN revision: 1779702
Checking corpus/usable-corpus-set1/spam-net-thendrikx.log for SVN 1779702...
# SVN revision: 1779702
Checking corpus/usable-corpus-set1/spam-net-bb-jm.log for SVN 1779702...
corpus/usable-corpus-set1/spam-net-bb-jm.log does not meet the requirements
Checking corpus/usable-corpus-set1/spam-net-bb-jhardin_fraud.log for SVN 1779702...
corpus/usable-corpus-set1/spam-net-bb-jhardin_fraud.log does not meet the requirements
Checking corpus/usable-corpus-set1/spam-net-bb-kmcgrail.log for SVN 1779702...
corpus/usable-corpus-set1/spam-net-bb-kmcgrail.log does not meet the requirements
Checking corpus/usable-corpus-set1/ham-net-axb-ham-misc.log for SVN 1779702...
# SVN revision: 1779702
Checking corpus/usable-corpus-set1/ham-net-bb-jhardin_fraud.log for SVN 1779702...
corpus/usable-corpus-set1/ham-net-bb-jhardin_fraud.log does not meet the requirements
Checking corpus/usable-corpus-set1/spam-net-bb-traps.log for SVN 1779702...
corpus/usable-corpus-set1/spam-net-bb-traps.log does not meet the requirements
Checking corpus/usable-corpus-set1/ham-net-axb-coi-bulk.log for SVN 1779702...
# SVN revision: 1779702
Checking corpus/usable-corpus-set1/spam-net-dwarren.log for SVN 1779702...
# SVN revision: 1779702
Checking corpus/usable-corpus-set1/spam-net-axb-generic.log for SVN 1779702...
# SVN revision: 1779702
Checking corpus/usable-corpus-set1/spam-net-zmi.log for SVN 1779702...
# SVN revision: 1779702
Checking corpus/usable-corpus-set1/spam-net-bb-guenther_fraud.log for SVN 1779702...
# SVN revision: 1779702
Checking corpus/usable-corpus-set1/spam-net-kam-ninja.log for SVN 1779702...
corpus/usable-corpus-set1/spam-net-kam-ninja.log does not meet the requirements
Checking corpus/usable-corpus-set1/ham-net-axb-ninja.log for SVN 1779702...
# SVN revision: 1779702
Checking corpus/usable-corpus-set1/spam-net-mmiroslaw-ham.log for SVN 1779702...
corpus/usable-corpus-set1/spam-net-mmiroslaw-ham.log does not meet the requirements
Checking corpus/usable-corpus-set1/ham-net-zmi.log for SVN 1779702...
# SVN revision: 1779702
Checking corpus/usable-corpus-set1/spam-net-kpg-core.log for SVN 1779702...
corpus/usable-corpus-set1/spam-net-kpg-core.log does not meet the requirements
Checking corpus/usable-corpus-set1/ham-net-bb-guenther_fraud.log for SVN 1779702...
# SVN revision: 1779702
Checking corpus/usable-corpus-set1/ham-net-grenier.log for SVN 1779702...
# SVN revision: 1779702
Checking corpus/usable-corpus-set1/ham-net-mmiroslaw-ham.log for SVN 1779702...
corpus/usable-corpus-set1/ham-net-mmiroslaw-ham.log does not meet the requirements
Checking corpus/usable-corpus-set1/spam-net-bernie-fsf.log for SVN 1779702...
corpus/usable-corpus-set1/spam-net-bernie-fsf.log does not meet the requirements
Checking corpus/usable-corpus-set1/ham-net-bernie-mix.log for SVN 1779702...
corpus/usable-corpus-set1/ham-net-bernie-mix.log does not meet the requirements
Checking corpus/usable-corpus-set1/ham-net-kgolding.log for SVN 1779702...
# SVN revision: 1779702
Checking corpus/usable-corpus-set1/ham-net-kam-ninja.log for SVN 1779702...
corpus/usable-corpus-set1/ham-net-kam-ninja.log does not meet the requirements
Checking corpus/usable-corpus-set1/spam-net-bb-jhardin.log for SVN 1779702...
corpus/usable-corpus-set1/spam-net-bb-jhardin.log does not meet the requirements
Checking corpus/usable-corpus-set1/spam-net-darxus.log for SVN 1779702...
# SVN revision: 1779702
Checking corpus/usable-corpus-set1/ham-net-bernie-fsf.log for SVN 1779702...
corpus/usable-corpus-set1/ham-net-bernie-fsf.log does not meet the requirements
Checking corpus/usable-corpus-set1/spam-net-axb-ham-misc.log for SVN 1779702...
# SVN revision: 1779702
Checking corpus/usable-corpus-set1/ham-net-bernie-it_batt.log for SVN 1779702...
corpus/usable-corpus-set1/ham-net-bernie-it_batt.log does not meet the requirements
Checking corpus/usable-corpus-set1/ham-net-darxus.log for SVN 1779702...
# SVN revision: 1779702
Checking corpus/usable-corpus-set1/ham-net-thendrikx.log for SVN 1779702...
# SVN revision: 1779702
Checking corpus/usable-corpus-set1/spam-net-jarif.log for SVN 1779702...
# SVN revision: 1779702
Checking corpus/usable-corpus-set1/spam-net-axb-coi-bulk.log for SVN 1779702...
# SVN revision: 1779702
Checking corpus/usable-corpus-set1/ham-net-ena.log for SVN 1779702...
# SVN revision: 1779702
Checking corpus/usable-corpus-set1/ham-net-bb-jm.log for SVN 1779702...
corpus/usable-corpus-set1/ham-net-bb-jm.log does not meet the requirements
Checking corpus/usable-corpus-set1/spam-net-bernie-it_batt.log for SVN 1779702...
corpus/usable-corpus-set1/spam-net-bernie-it_batt.log does not meet the requirements
Checking corpus/usable-corpus-set1/ham-net-dwarren.log for SVN 1779702...
# SVN revision: 1779702
Checking corpus/usable-corpus-set1/spam-net-bernie-mix.log for SVN 1779702...
corpus/usable-corpus-set1/spam-net-bernie-mix.log does not meet the requirements
Checking corpus/usable-corpus-set1/spam-net-bpoliakoff.log for SVN 1779702...
corpus/usable-corpus-set1/spam-net-bpoliakoff.log does not meet the requirements
Checking corpus/usable-corpus-set1/ham-net-bb-zmi.log for SVN 1779702...
corpus/usable-corpus-set1/ham-net-bb-zmi.log does not meet the requirements
Checking corpus/usable-corpus-set1/ham-net-mmiroslaw-spam.log for SVN 1779702...
corpus/usable-corpus-set1/ham-net-mmiroslaw-spam.log does not meet the requirements
Checking corpus/usable-corpus-set1/spam-net-mmiroslaw-spam.log for SVN 1779702...
corpus/usable-corpus-set1/spam-net-mmiroslaw-spam.log does not meet the requirements
Checking corpus/usable-corpus-set1/spam-net-bb-zmi.log for SVN 1779702...
corpus/usable-corpus-set1/spam-net-bb-zmi.log does not meet the requirements
Checking corpus/usable-corpus-set1/ham-net-axb-generic.log for SVN 1779702...
# SVN revision: 1779702
Checking corpus/usable-corpus-set1/ham-net-bpoliakoff.log for SVN 1779702...
corpus/usable-corpus-set1/ham-net-bpoliakoff.log does not meet the requirements
Checking corpus/usable-corpus-set1/spam-net-axb-8mile.log for SVN 1779702...
corpus/usable-corpus-set1/spam-net-axb-8mile.log does not meet the requirements
 HAM CONTRIBUTORS FOUND: 13 (required 10)
SPAM CONTRIBUTORS FOUND: 13 (required 10)
Fri Jun  2 02:25:02 UTC 2017
[ checking out code from svn repository ]
+ svn co -r 1779702 http://svn.apache.org/repos/asf/spamassassin/trunk trunk-new-rules-set1
A    trunk-new-rules-set1/rules
A    trunk-new-rules-set1/rules/20_imageinfo.cf
A    trunk-new-rules-set1/rules/svn_only.pre
A    trunk-new-rules-set1/rules/20_ratware.cf
A    trunk-new-rules-set1/rules/20_body_tests.cf
A    trunk-new-rules-set1/rules/73_sandbox_manual_scores.cf
A    trunk-new-rules-set1/rules/20_dynrdns.cf
A    trunk-new-rules-set1/rules/25_razor2.cf
A    trunk-new-rules-set1/rules/60_shortcircuit.cf
A    trunk-new-rules-set1/rules/v330.pre
A    trunk-new-rules-set1/rules/25_dcc.cf
A    trunk-new-rules-set1/rules/20_freemail_mailcom_domains.cf
A    trunk-new-rules-set1/rules/20_fake_helo_tests.cf
A    trunk-new-rules-set1/rules/user_prefs.template
A    trunk-new-rules-set1/rules/init.pre
A    trunk-new-rules-set1/rules/regression_tests.cf
A    trunk-new-rules-set1/rules/20_dnsbl_tests.cf
A    trunk-new-rules-set1/rules/20_html_tests.cf
A    trunk-new-rules-set1/rules/60_whitelist_subject.cf
A    trunk-new-rules-set1/rules/20_phrases.cf
A    trunk-new-rules-set1/rules/sa-update-pubkey.txt
A    trunk-new-rules-set1/rules/25_replace.cf
A    trunk-new-rules-set1/rules/25_asn.cf
A    trunk-new-rules-set1/rules/local.cf
A    trunk-new-rules-set1/rules/60_adsp_override_dkim.cf
A    trunk-new-rules-set1/rules/v340.pre
A    trunk-new-rules-set1/rules/active.list
A    trunk-new-rules-set1/rules/50_scores.cf
A    trunk-new-rules-set1/rules/20_vbounce.cf
A    trunk-new-rules-set1/rules/23_bayes.cf
A    trunk-new-rules-set1/rules/20_meta_tests.cf
A    trunk-new-rules-set1/rules/25_textcat.cf
A    trunk-new-rules-set1/rules/10_default_prefs.cf
A    trunk-new-rules-set1/rules-extras
A    trunk-new-rules-set1/rules/20_porn.cf
A    trunk-new-rules-set1/rules/v310.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/sql
A    trunk-new-rules-set1/rules/20_uri_tests.cf
A    trunk-new-rules-set1/rules/25_dkim.cf
A    trunk-new-rules-set1/rules/v312.pre
A    trunk-new-rules-set1/rules/60_whitelist_spf.cf
A    trunk-new-rules-set1/rules/STATISTICS-set0.txt
A    trunk-new-rules-set1/rules/STATISTICS-set2.txt
A    trunk-new-rules-set1/build
A    trunk-new-rules-set1/sample-spam.txt
A    trunk-new-rules-set1/rules/25_uribl.cf
A    trunk-new-rules-set1/rules/20_aux_tlds.cf
A    trunk-new-rules-set1/rules/20_head_tests.cf
A    trunk-new-rules-set1/rules/20_pdfinfo.cf
A    trunk-new-rules-set1/rules/v320.pre
A    trunk-new-rules-set1/rules/25_antivirus.cf
A    trunk-new-rules-set1/rules/25_spf.cf
A    trunk-new-rules-set1/rules/20_compensate.cf
A    trunk-new-rules-set1/rules/30_text_pt_br.cf
A    trunk-new-rules-set1/rules/25_accessdb.cf
A    trunk-new-rules-set1/rules/30_text_de.cf
A    trunk-new-rules-set1/rules/30_text_nl.cf
A    trunk-new-rules-set1/build/automc
A    trunk-new-rules-set1/rules/STATISTICS-set3.txt
A    trunk-new-rules-set1/rules-extras/Readme.txt
A    trunk-new-rules-set1/sql/txrep_pg.sql
A    trunk-new-rules-set1/sql/awl_mysql.sql
A    trunk-new-rules-set1/rules-extras/10_uridnsbl_skip_financial.cf
A    trunk-new-rules-set1/sql/bayes_mysql.sql
A    trunk-new-rules-set1/sql/README.txrep
A    trunk-new-rules-set1/sql/userpref_pg.sql
A    trunk-new-rules-set1/sql/bayes_pg.sql
A    trunk-new-rules-set1/sql/README.awl
A    trunk-new-rules-set1/sql/README
A    trunk-new-rules-set1/sql/README.bayes
A    trunk-new-rules-set1/rules/languages
A    trunk-new-rules-set1/rules/30_text_pl.cf
A    trunk-new-rules-set1/rules/30_text_it.cf
A    trunk-new-rules-set1/rules/60_whitelist_dkim.cf
A    trunk-new-rules-set1/rules/20_drugs.cf
A    trunk-new-rules-set1/rules/60_awl.cf
A    trunk-new-rules-set1/build/mkupdates
A    trunk-new-rules-set1/build/check_dependencies
A    trunk-new-rules-set1/build/preprocessor
A    trunk-new-rules-set1/build/automc/automc-by-mail
A    trunk-new-rules-set1/build/md5sum.pl
A    trunk-new-rules-set1/build/buildbot_ready
A    trunk-new-rules-set1/build/mkrules
A    trunk-new-rules-set1/build/find_meta_missing_dependencies
A    trunk-new-rules-set1/build/automc/post_mc_proc_logs
A    trunk-new-rules-set1/rules/20_freemail_domains.cf
A    trunk-new-rules-set1/rules/10_hasbase.cf
A    trunk-new-rules-set1/rules/60_txrep.cf
A    trunk-new-rules-set1/rules/20_advance_fee.cf
A    trunk-new-rules-set1/rules/20_freemail.cf
A    trunk-new-rules-set1/build/jenkins
A    trunk-new-rules-set1/rules/25_hashcash.cf
A    trunk-new-rules-set1/build/automc/buildbot_ready
A    trunk-new-rules-set1/build/automc/etc-init.d-freqsd
A    trunk-new-rules-set1/build/automc/crontab.buildbot
A    trunk-new-rules-set1/build/automc/freqsd
A    trunk-new-rules-set1/build/automc/etc-passwd.notes
A    trunk-new-rules-set1/build/automc/freqsd-infrequent
A    trunk-new-rules-set1/build/automc/buildbot.cron.weekly
A    trunk-new-rules-set1/build/automc/run_preflight
A    trunk-new-rules-set1/build/automc/gzip_old_ruleqa_data
A    trunk-new-rules-set1/build/automc/rsync_to_spamassassin2
A    trunk-new-rules-set1/build/buildbot
A    trunk-new-rules-set1/build/sha1sum.pl
A    trunk-new-rules-set1/build/describe-to-po-file
A    trunk-new-rules-set1/build/automc/etc-apache-local-conf-httpd.conf
A    trunk-new-rules-set1/build/mkupdates/do-stable-update-with-scores
A    trunk-new-rules-set1/build/mkupdates/mkupdate-with-scores
A    trunk-new-rules-set1/build/mkupdates/mkupdate-with-scores-expedite
A    trunk-new-rules-set1/build/mkupdates/update-rules-3.3
A    trunk-new-rules-set1/build/announcements
A    trunk-new-rules-set1/rules/v341.pre
A    trunk-new-rules-set1/rules/20_net_tests.cf
A    trunk-new-rules-set1/rules/60_whitelist.cf
A    trunk-new-rules-set1/rules/25_pyzor.cf
A    trunk-new-rules-set1/rules/STATISTICS-set1.txt
A    trunk-new-rules-set1/sa-learn.raw
A    trunk-new-rules-set1/sql/txrep_mysql.sql
A    trunk-new-rules-set1/sql/awl_pg.sql
A    trunk-new-rules-set1/sql/userpref_mysql.sql
A    trunk-new-rules-set1/build/parse-rules-for-masses
A    trunk-new-rules-set1/build/get_version
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A    trunk-new-rules-set1/lib/Mail/SpamAssassin/Plugin/Rule2XSBody.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/Plugin/MIMEEval.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/Plugin/WLBLEval.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/Plugin/Test.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/Plugin/Shortcircuit.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/Plugin/URIDetail.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/Plugin/DKIM.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/Plugin/DNSEval.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/Plugin/AccessDB.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/Plugin/TextCat.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/Plugin/URIDNSBL.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/Util
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/Logger
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/Plugin/AskDNS.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/Plugin/AntiVirus.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/Plugin/FreeMail.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/PersistentAddrList.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/SpamdForkScaling.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/Locker
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/Plugin/RelayEval.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/Timeout.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/Conf.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/PluginHandler.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/Bayes.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/Bayes/CombineChi.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/Bayes/CombineNaiveBayes.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/HTML.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/BayesStore/SQL.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/BayesStore/PgSQL.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/AutoWhitelist.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/BayesStore/SDBM.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/BayesStore/DBM.pm
A    trunk-new-rules-set1/ldap
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/BayesStore/MySQL.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/MailingList.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/RegistryBoundaries.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/SubProcBackChannel.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/DBBasedAddrList.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/Locales.pm
A    trunk-new-rules-set1/debian
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/SQLBasedAddrList.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/BayesStore/Redis.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/Constants.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/NetSet.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/Util/TinyRedis.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/Util/TieOneStringHash.pm
A    trunk-new-rules-set1/debian/source
A    trunk-new-rules-set1/debian/spamc
A    trunk-new-rules-set1/debian/spamc/DEBIAN
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/Message.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/ArchiveIterator.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/Reporter.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/Util/MemoryDump.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/Logger/File.pm
A    trunk-new-rules-set1/debian/spamc/usr
A    trunk-new-rules-set1/debian/spamc/usr/share
A    trunk-new-rules-set1/debian/spamc/usr/share/doc
A    trunk-new-rules-set1/debian/spamc/usr/share/doc/spamc
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/PerMsgStatus.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/Util/DependencyInfo.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/Util/ScopedTimer.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/BayesStore/BDB.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/Client.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/Dns.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/Plugin.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/Util/Progress.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/Util/RegistrarBoundaries.pm
A    trunk-new-rules-set1/debian/examples
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/Locker/Flock.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/Locker/Win32.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/Logger/Stderr.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/PerMsgLearner.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/Logger/Syslog.pm
A    trunk-new-rules-set1/debian/patches
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/Locker/UnixNFSSafe.pm
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/DnsResolver.pm
A    trunk-new-rules-set1/sample-nonspam.txt
A    trunk-new-rules-set1/lib/Mail/SpamAssassin/AsyncLoop.pm
A    trunk-new-rules-set1/INSTALL.VMS
A    trunk-new-rules-set1/Changes
A    trunk-new-rules-set1/INSTALL
A    trunk-new-rules-set1/sa-awl.raw
A    trunk-new-rules-set1/ldap/README.testing
A    trunk-new-rules-set1/MANIFEST.SKIP
A    trunk-new-rules-set1/ldap/sa_test.ldif
A    trunk-new-rules-set1/sa-update.raw
A    trunk-new-rules-set1/ldap/README
A    trunk-new-rules-set1/LICENSE
A    trunk-new-rules-set1/debian/changelog
A    trunk-new-rules-set1/debian/spamassassin.prerm
A    trunk-new-rules-set1/debian/spamassassin.default
A    trunk-new-rules-set1/debian/README.postfix
A    trunk-new-rules-set1/debian/spamc.docs
A    trunk-new-rules-set1/debian/spamassassin.postinst
A    trunk-new-rules-set1/debian/spamassassin.triggers
A    trunk-new-rules-set1/debian/source/format
A    trunk-new-rules-set1/debian/spamc/usr/share/doc/spamc/procmailrc.example
A    trunk-new-rules-set1/debian/rules
A    trunk-new-rules-set1/debian/spamc/DEBIAN/control
A    trunk-new-rules-set1/debian/spamc/usr/share/doc/spamc/README.Debian
A    trunk-new-rules-set1/debian/spamc/usr/share/doc/spamc/copyright
A    trunk-new-rules-set1/debian/examples/courier
A    trunk-new-rules-set1/debian/spamassassin.debhelper.log
A    trunk-new-rules-set1/debian/spamassassin.dirs
A    trunk-new-rules-set1/debian/spamc/usr/share/doc/spamc/sample-spam.txt
A    trunk-new-rules-set1/debian/examples/gnus
A    trunk-new-rules-set1/debian/README.Debian
A    trunk-new-rules-set1/debian/copyright
A    trunk-new-rules-set1/debian/examples/muttrc
A    trunk-new-rules-set1/debian/spamc/DEBIAN/md5sums
A    trunk-new-rules-set1/debian/spamc/usr/share/doc/spamc/TRADEMARK
A    trunk-new-rules-set1/debian/spamassassin.init
A    trunk-new-rules-set1/debian/examples/filter.sh
A    trunk-new-rules-set1/debian/spamassassin.examples
A    trunk-new-rules-set1/debian/patches/series
A    trunk-new-rules-set1/debian/spamassassin.README.Debian
A    trunk-new-rules-set1/debian/patches/30_edit_README
A    trunk-new-rules-set1/debian/patches/10_change_config_paths
A    trunk-new-rules-set1/debian/files
A    trunk-new-rules-set1/debian/spamassassin.preinst
A    trunk-new-rules-set1/debian/spamc.dirs
A    trunk-new-rules-set1/debian/spamc.substvars
A    trunk-new-rules-set1/debian/control
A    trunk-new-rules-set1/debian/patches/20_edit_spamc_pod
A    trunk-new-rules-set1/debian/spamc.manpages
A    trunk-new-rules-set1/debian/spamassassin.cron.daily
A    trunk-new-rules-set1/debian/65_debian.cf
A    trunk-new-rules-set1/debian/spamc.debhelper.log
A    trunk-new-rules-set1/debian/watch
A    trunk-new-rules-set1/debian/spamc.README.Debian
A    trunk-new-rules-set1/debian/GPG.KEY
A    trunk-new-rules-set1/debian/NEWS
A    trunk-new-rules-set1/debian/compat
A    trunk-new-rules-set1/procmailrc.example
A    trunk-new-rules-set1/Makefile.PL
A    trunk-new-rules-set1/PACKAGING
A    trunk-new-rules-set1/debian/spamassassin.links
 U   trunk-new-rules-set1
Checked out revision 1779702.
+ 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/20_advance_fee.cf
A    trunk-new-rules-set1/rules-base/25_uribl.cf
A    trunk-new-rules-set1/rules-base/20_uri_tests.cf
A    trunk-new-rules-set1/rules-base/20_vbounce.cf
A    trunk-new-rules-set1/rules-base/20_dnsbl_tests.cf
A    trunk-new-rules-set1/rules-base/25_asn.cf
A    trunk-new-rules-set1/rules-base/20_dynrdns.cf
A    trunk-new-rules-set1/rules-base/30_text_it.cf
A    trunk-new-rules-set1/rules-base/20_ratware.cf
A    trunk-new-rules-set1/rules-base/25_dkim.cf
A    trunk-new-rules-set1/rules-base/20_head_tests.cf
A    trunk-new-rules-set1/rules-base/23_bayes.cf
A    trunk-new-rules-set1/rules-base/25_accessdb.cf
A    trunk-new-rules-set1/rules-base/25_replace.cf
A    trunk-new-rules-set1/rules-base/10_default_prefs.cf
A    trunk-new-rules-set1/rules-base/25_razor2.cf
A    trunk-new-rules-set1/rules-base/60_shortcircuit.cf
A    trunk-new-rules-set1/rules-base/v312.pre
A    trunk-new-rules-set1/rules-base/25_spf.cf
A    trunk-new-rules-set1/rules-base/20_drugs.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/60_awl.cf
A    trunk-new-rules-set1/rules-base/25_hashcash.cf
A    trunk-new-rules-set1/rules-base/v320.pre
A    trunk-new-rules-set1/rules-base/60_whitelist_spf.cf
A    trunk-new-rules-set1/rules-base/25_pyzor.cf
A    trunk-new-rules-set1/rules-base/STATISTICS-set0.txt
A    trunk-new-rules-set1/rules-base/local.cf
A    trunk-new-rules-set1/rules-base/STATISTICS-set1.txt
A    trunk-new-rules-set1/rules-base/STATISTICS-set2.txt
A    trunk-new-rules-set1/rules-base/active.list
A    trunk-new-rules-set1/rules-base/svn_only.pre
A    trunk-new-rules-set1/rules-base/20_freemail_domains.cf
A    trunk-new-rules-set1/rules-base/30_text_fr.cf
A    trunk-new-rules-set1/rules-base/50_scores.cf
A    trunk-new-rules-set1/rules-base/30_text_pl.cf
A    trunk-new-rules-set1/rules-base/20_meta_tests.cf
A    trunk-new-rules-set1/rules-base/20_body_tests.cf
A    trunk-new-rules-set1/rules-base/STATISTICS-set3.txt
A    trunk-new-rules-set1/rules-base/30_text_de.cf
A    trunk-new-rules-set1/rules-base/20_compensate.cf
A    trunk-new-rules-set1/rules-base/60_adsp_override_dkim.cf
A    trunk-new-rules-set1/rules-base/25_dcc.cf
A    trunk-new-rules-set1/rules-base/20_imageinfo.cf
A    trunk-new-rules-set1/rules-base/20_fake_helo_tests.cf
A    trunk-new-rules-set1/rules-base/60_whitelist_subject.cf
A    trunk-new-rules-set1/rules-base/user_prefs.template
A    trunk-new-rules-set1/rules-base/regression_tests.cf
A    trunk-new-rules-set1/rules-base/20_phrases.cf
A    trunk-new-rules-set1/rules-base/30_text_pt_br.cf
A    trunk-new-rules-set1/rules-base/20_porn.cf
A    trunk-new-rules-set1/rules-base/25_textcat.cf
A    trunk-new-rules-set1/rules-base/60_whitelist_dkim.cf
A    trunk-new-rules-set1/rules-base/v310.pre
A    trunk-new-rules-set1/rules-base/v330.pre
A    trunk-new-rules-set1/rules-base/25_antivirus.cf
A    trunk-new-rules-set1/rules-base/init.pre
A    trunk-new-rules-set1/rules-base/20_net_tests.cf
A    trunk-new-rules-set1/rules-base/sa-update-pubkey.txt
A    trunk-new-rules-set1/rules-base/30_text_nl.cf
A    trunk-new-rules-set1/rules-base/60_whitelist.cf
A    trunk-new-rules-set1/rules-base/languages
 U   trunk-new-rules-set1/rules-base
Checked out revision 1797307.
+ svn co http://svn.apache.org/repos/asf/spamassassin/trunk/rules trunk-new-rules-set1/rules-current
A    trunk-new-rules-set1/rules-current/20_phrases.cf
A    trunk-new-rules-set1/rules-current/23_bayes.cf
A    trunk-new-rules-set1/rules-current/20_mailspike.cf
A    trunk-new-rules-set1/rules-current/20_advance_fee.cf
A    trunk-new-rules-set1/rules-current/30_text_nl.cf
A    trunk-new-rules-set1/rules-current/10_default_prefs.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/init.pre
A    trunk-new-rules-set1/rules-current/30_text_fr.cf
A    trunk-new-rules-set1/rules-current/20_freemail.cf
A    trunk-new-rules-set1/rules-current/20_dnsbl_tests.cf
A    trunk-new-rules-set1/rules-current/60_shortcircuit.cf
A    trunk-new-rules-set1/rules-current/20_freemail_domains.cf
A    trunk-new-rules-set1/rules-current/20_meta_tests.cf
A    trunk-new-rules-set1/rules-current/v320.pre
A    trunk-new-rules-set1/rules-current/25_dcc.cf
A    trunk-new-rules-set1/rules-current/20_compensate.cf
A    trunk-new-rules-set1/rules-current/20_vbounce.cf
A    trunk-new-rules-set1/rules-current/20_head_tests.cf
A    trunk-new-rules-set1/rules-current/25_hashcash.cf
A    trunk-new-rules-set1/rules-current/20_imageinfo.cf
A    trunk-new-rules-set1/rules-current/60_whitelist_subject.cf
A    trunk-new-rules-set1/rules-current/languages
A    trunk-new-rules-set1/rules-current/20_body_tests.cf
A    trunk-new-rules-set1/rules-current/30_text_pl.cf
A    trunk-new-rules-set1/rules-current/60_whitelist.cf
A    trunk-new-rules-set1/rules-current/20_uri_tests.cf
A    trunk-new-rules-set1/rules-current/20_dynrdns.cf
A    trunk-new-rules-set1/rules-current/30_text_it.cf
A    trunk-new-rules-set1/rules-current/20_porn.cf
A    trunk-new-rules-set1/rules-current/20_pdfinfo.cf
A    trunk-new-rules-set1/rules-current/60_txrep.cf
A    trunk-new-rules-set1/rules-current/25_textcat.cf
A    trunk-new-rules-set1/rules-current/25_razor2.cf
A    trunk-new-rules-set1/rules-current/20_aux_tlds.cf
A    trunk-new-rules-set1/rules-current/20_html_tests.cf
A    trunk-new-rules-set1/rules-current/60_awl.cf
A    trunk-new-rules-set1/rules-current/25_pyzor.cf
A    trunk-new-rules-set1/rules-current/60_whitelist_spf.cf
A    trunk-new-rules-set1/rules-current/local.cf
A    trunk-new-rules-set1/rules-current/STATISTICS-set0.txt
A    trunk-new-rules-set1/rules-current/v340.pre
A    trunk-new-rules-set1/rules-current/STATISTICS-set1.txt
A    trunk-new-rules-set1/rules-current/v341.pre
A    trunk-new-rules-set1/rules-current/STATISTICS-set2.txt
A    trunk-new-rules-set1/rules-current/active.list
A    trunk-new-rules-set1/rules-current/STATISTICS-set3.txt
A    trunk-new-rules-set1/rules-current/60_adsp_override_dkim.cf
A    trunk-new-rules-set1/rules-current/user_prefs.template
A    trunk-new-rules-set1/rules-current/regression_tests.cf
A    trunk-new-rules-set1/rules-current/v330.pre
A    trunk-new-rules-set1/rules-current/25_dkim.cf
A    trunk-new-rules-set1/rules-current/svn_only.pre
A    trunk-new-rules-set1/rules-current/20_freemail_mailcom_domains.cf
A    trunk-new-rules-set1/rules-current/20_net_tests.cf
A    trunk-new-rules-set1/rules-current/20_ratware.cf
A    trunk-new-rules-set1/rules-current/10_hasbase.cf
A    trunk-new-rules-set1/rules-current/25_accessdb.cf
A    trunk-new-rules-set1/rules-current/25_replace.cf
A    trunk-new-rules-set1/rules-current/25_uribl.cf
A    trunk-new-rules-set1/rules-current/25_asn.cf
A    trunk-new-rules-set1/rules-current/25_antivirus.cf
A    trunk-new-rules-set1/rules-current/50_scores.cf
A    trunk-new-rules-set1/rules-current/73_sandbox_manual_scores.cf
A    trunk-new-rules-set1/rules-current/20_drugs.cf
A    trunk-new-rules-set1/rules-current/30_text_de.cf
A    trunk-new-rules-set1/rules-current/20_fake_helo_tests.cf
A    trunk-new-rules-set1/rules-current/30_text_pt_br.cf
A    trunk-new-rules-set1/rules-current/60_whitelist_dkim.cf
A    trunk-new-rules-set1/rules-current/25_spf.cf
A    trunk-new-rules-set1/rules-current/sa-update-pubkey.txt
 U   trunk-new-rules-set1/rules-current
Checked out revision 1797307.
+ svn up -r 1779702 trunk-new-rules-set1/rulesrc/
Updating 'trunk-new-rules-set1/rulesrc':
At revision 1779702.
+ svn up trunk-new-rules-set1/masses/
Updating 'trunk-new-rules-set1/masses':
D    trunk-new-rules-set1/masses/rule-update-score-gen/do-nightly-rescore-example
D    trunk-new-rules-set1/masses/rule-update-score-gen/IMPORTANT
D    trunk-new-rules-set1/masses/rule-update-score-gen/generate-new-scores
A    trunk-new-rules-set1/masses/rule-update-score-gen/generate-new-scores.sh
U    trunk-new-rules-set1/masses/rule-update-score-gen/README
U    trunk-new-rules-set1/masses/rule-update-score-gen/extract-new-scores
A    trunk-new-rules-set1/masses/rule-update-score-gen/do-nightly-rescore-example.sh
U    trunk-new-rules-set1/masses/rule-qa/automc/config
U    trunk-new-rules-set1/masses/rule-qa/automc/RUNME.before
U    trunk-new-rules-set1/masses/rule-qa/automc/ruleqa.cgi
A    trunk-new-rules-set1/masses/rule-qa/automc/sorttable.js
U    trunk-new-rules-set1/masses/Makefile
U    trunk-new-rules-set1/masses/rule-dev/seek-phrases-in-log
U    trunk-new-rules-set1/masses/contrib/automasscheck-minimal/automasscheck-minimal.cf.dist
U    trunk-new-rules-set1/masses/contrib/automasscheck-minimal/automasscheck-minimal.sh
Updated to revision 1797307.
+ svn up trunk-new-rules-set1/build/
Updating 'trunk-new-rules-set1/build':
A    trunk-new-rules-set1/build/pga
A    trunk-new-rules-set1/build/pga/source
A    trunk-new-rules-set1/build/pga/include
A    trunk-new-rules-set1/build/pga/lib
A    trunk-new-rules-set1/build/pga/lib/linux
A    trunk-new-rules-set1/build/pga/include/fakempif_h
A    trunk-new-rules-set1/build/pga/configure.in
A    trunk-new-rules-set1/build/pga/lib/linux/pop.o
A    trunk-new-rules-set1/build/pga/lib/linux/duplcate.o
A    trunk-new-rules-set1/build/pga/source/pop.c
A    trunk-new-rules-set1/build/pga/source/duplcate.c
A    trunk-new-rules-set1/build/pga/source/create.c
A    trunk-new-rules-set1/build/pga/source/utility.c
A    trunk-new-rules-set1/build/pga/lib/linux/evaluate.o
A    trunk-new-rules-set1/build/pga/configure
A    trunk-new-rules-set1/build/pga/include/mpif.h
A    trunk-new-rules-set1/build/pga/include/fakempi_h
A    trunk-new-rules-set1/build/pga/include/pgapack.h
A    trunk-new-rules-set1/build/pga/lib/linux/integer.o
A    trunk-new-rules-set1/build/pga/lib/linux/mutation.o
A    trunk-new-rules-set1/build/pga/lib/linux/create.o
A    trunk-new-rules-set1/build/pga/source/evaluate.c
A    trunk-new-rules-set1/build/pga/source/pga.c
A    trunk-new-rules-set1/build/pga/source/f2c.c
A    trunk-new-rules-set1/build/pga/source/report.c
A    trunk-new-rules-set1/build/pga/lib/linux/fitness.o
A    trunk-new-rules-set1/build/pga/lib/linux/cmdline.o
A    trunk-new-rules-set1/build/pga/source/cmdline.c
A    trunk-new-rules-set1/build/pga/lib/linux/f2c.o
A    trunk-new-rules-set1/build/pga/lib/linux/heap.o
A    trunk-new-rules-set1/build/pga/lib/linux/hamming.o
A    trunk-new-rules-set1/build/pga/lib/linux/char.o
A    trunk-new-rules-set1/build/pga/docs
A    trunk-new-rules-set1/build/pga/lib/linux/random.o
A    trunk-new-rules-set1/build/pga/source/fitness.c
A    trunk-new-rules-set1/build/pga/source/char.c
A    trunk-new-rules-set1/build/pga/source/heap.c
A    trunk-new-rules-set1/build/pga/source/user.c
A    trunk-new-rules-set1/build/pga/source/select.c
A    trunk-new-rules-set1/build/pga/source/random.c
A    trunk-new-rules-set1/build/pga/source/hamming.c
A    trunk-new-rules-set1/build/pga/source/mpi_stub.c
A    trunk-new-rules-set1/build/pga/source/real.c
A    trunk-new-rules-set1/build/pga/source/restart.c
A    trunk-new-rules-set1/build/pga/source/binary.c
A    trunk-new-rules-set1/build/pga/source/system.c
A    trunk-new-rules-set1/build/pga/man
A    trunk-new-rules-set1/build/pga/man/man2
A    trunk-new-rules-set1/build/pga/lib/linux/restart.o
A    trunk-new-rules-set1/build/pga/lib/linux/cross.o
A    trunk-new-rules-set1/build/pga/lib/linux/system.o
A    trunk-new-rules-set1/build/pga/lib/linux/debug.o
A    trunk-new-rules-set1/build/pga/lib/linux/user.o
A    trunk-new-rules-set1/build/pga/lib/linux/mpi_stub.o
A    trunk-new-rules-set1/build/pga/lib/linux/binary.o
A    trunk-new-rules-set1/build/pga/man/man3
A    trunk-new-rules-set1/build/pga/source/stop.c
A    trunk-new-rules-set1/build/pga/COPYRIGHT
A    trunk-new-rules-set1/build/pga/source/debug.c
A    trunk-new-rules-set1/build/pga/source/cross.c
A    trunk-new-rules-set1/build/pga/source/Makefile
A    trunk-new-rules-set1/build/pga/source/parallel.c
A    trunk-new-rules-set1/build/pga/source/integer.c
A    trunk-new-rules-set1/build/pga/source/mutation.c
A    trunk-new-rules-set1/build/pga/source/Makefile.in
A    trunk-new-rules-set1/build/pga/Makefile.in
A    trunk-new-rules-set1/build/pga/include/pgapackf.h
A    trunk-new-rules-set1/build/pga/include/mpi.h
A    trunk-new-rules-set1/build/pga/lib/linux/parallel.o
A    trunk-new-rules-set1/build/pga/man/man2/PGASetBinaryInitProb.2
A    trunk-new-rules-set1/build/pga/man/man2/PGASetIntegerInitRange.2
A    trunk-new-rules-set1/build/pga/man/man2/PGASetCharacterInitType.2
A    trunk-new-rules-set1/build/pga/man/man2/PGAGetIntegerInitType.2
A    trunk-new-rules-set1/build/pga/man/man3/PGAGetRestartFlag.3
A    trunk-new-rules-set1/build/pga/config.status
A    trunk-new-rules-set1/build/pga/lib/linux/libpgaO.a
A    trunk-new-rules-set1/build/pga/lib/linux/utility.o
A    trunk-new-rules-set1/build/pga/lib/linux/pga.o
A    trunk-new-rules-set1/build/pga/lib/linux/report.o
A    trunk-new-rules-set1/build/pga/lib/linux/select.o
A    trunk-new-rules-set1/build/pga/lib/linux/real.o
A    trunk-new-rules-set1/build/pga/lib/linux/stop.o
A    trunk-new-rules-set1/build/pga/CHANGES
A    trunk-new-rules-set1/build/pga/docs/tpage.sty
A    trunk-new-rules-set1/build/pga/man/man2/PGAGetMaxRealInitValue.2
A    trunk-new-rules-set1/build/pga/man/man2/PGAGetRandomInitFlag.2
A    trunk-new-rules-set1/build/pga/man/man2/PGAGetMinIntegerInitValue.2
A    trunk-new-rules-set1/build/pga/man/man3/PGASetMutationRealValue.3
A    trunk-new-rules-set1/build/pga/man/man4
A    trunk-new-rules-set1/build/pga/docs/user_guide.tex
A    trunk-new-rules-set1/build/pga/man/man2/PGAGetMinRealInitValue.2
A    trunk-new-rules-set1/build/pga/man/man2/PGASetRandomInitFlag.2
A    trunk-new-rules-set1/build/pga/man/man2/PGASetIntegerInitPermute.2
A    trunk-new-rules-set1/build/pga/man/man2/PGAGetMaxIntegerInitValue.2
A    trunk-new-rules-set1/build/pga/man/man5
A    trunk-new-rules-set1/build/pga/man/man3/PGASetRestartFrequencyValue.3
A    trunk-new-rules-set1/build/pga/man/man3/PGASetUniformCrossoverProb.3
A    trunk-new-rules-set1/build/pga/man/man3/PGASetMutationIntegerValue.3
A    trunk-new-rules-set1/build/pga/man/man3/PGAGetRestartAlleleChangeProb.3
A    trunk-new-rules-set1/build/pga/man/man3/PGAGetMutationProb.3
A    trunk-new-rules-set1/build/pga/man/man3/PGACrossover.3
A    trunk-new-rules-set1/build/pga/man/man3/PGAGetMutationBoundedFlag.3
A    trunk-new-rules-set1/build/pga/man/man3/PGAMutate.3
A    trunk-new-rules-set1/build/pga/man/man3/PGAGetSelectType.3
A    trunk-new-rules-set1/build/pga/man/man3/PGARestart.3
A    trunk-new-rules-set1/build/pga/man/man3/PGASetRestartFlag.3
A    trunk-new-rules-set1/build/pga/man/man3/PGAGetPTournamentProb.3
A    trunk-new-rules-set1/build/pga/man/man3/PGAGetMutationType.3
A    trunk-new-rules-set1/build/pga/man/man6
A    trunk-new-rules-set1/build/pga/man/man3/PGASetMutationProb.3
A    trunk-new-rules-set1/build/pga/man/man3/PGASetCrossoverType.3
A    trunk-new-rules-set1/build/pga/man/man3/PGAGetCrossoverProb.3
A    trunk-new-rules-set1/build/pga/man/man4/PGAGetCommunicator.4
A    trunk-new-rules-set1/build/pga/man/man4/PGABuildDatatype.4
A    trunk-new-rules-set1/build/pga/man/man5/PGAMean.5
A    trunk-new-rules-set1/build/pga/man/man7
A    trunk-new-rules-set1/build/pga/man/man3/PGAGetRestartFrequencyValue.3
A    trunk-new-rules-set1/build/pga/man/man3/PGAGetUniformCrossoverProb.3
A    trunk-new-rules-set1/build/pga/man/man3/PGASetPTournamentProb.3
A    trunk-new-rules-set1/build/pga/man/man4/PGAGetNumProcs.4
A    trunk-new-rules-set1/build/pga/man/man4/PGASetCommunicator.4
A    trunk-new-rules-set1/build/pga/man/man5/PGARandom01.5
A    trunk-new-rules-set1/build/pga/man/man5/PGAGetWorstIndex.5
A    trunk-new-rules-set1/build/pga/man/man3/PGASetMutationBoundedFlag.3
A    trunk-new-rules-set1/build/pga/man/man3/PGAGetMutationIntegerValue.3
A    trunk-new-rules-set1/build/pga/man/man4/PGASendReceiveIndividual.4
A    trunk-new-rules-set1/build/pga/man/man4/PGAReceiveIndividual.4
A    trunk-new-rules-set1/build/pga/man/man5/PGAGetRandomSeed.5
A    trunk-new-rules-set1/build/pga/man/man5/PGARandomInterval.5
A    trunk-new-rules-set1/build/pga/docs/user_guide.ps
A    trunk-new-rules-set1/build/pga/man/man2/PGAGetRealInitType.2
A    trunk-new-rules-set1/build/pga/man/man2/PGAGetBinaryInitProb.2
A    trunk-new-rules-set1/build/pga/man/man2/PGASetRealInitRange.2
A    trunk-new-rules-set1/build/pga/man/man2/PGASetRealInitPercent.2
A    trunk-new-rules-set1/build/pga/man/man3/PGASelect.3
A    trunk-new-rules-set1/build/pga/man/man3/PGASetCrossoverProb.3
A    trunk-new-rules-set1/build/pga/man/man3/PGAGetCrossoverType.3
A    trunk-new-rules-set1/build/pga/man/man3/PGASetSelectType.3
A    trunk-new-rules-set1/build/pga/man/man3/PGAGetMutationRealValue.3
A    trunk-new-rules-set1/build/pga/man/man3/PGASelectNextIndex.3
A    trunk-new-rules-set1/build/pga/man/man3/PGASetRestartAlleleChangeProb.3
A    trunk-new-rules-set1/build/pga/man/man4/PGASendIndividual.4
A    trunk-new-rules-set1/build/pga/man/man4/PGAGetRank.4
A    trunk-new-rules-set1/build/pga/man/man5/PGARandomUniform.5
A    trunk-new-rules-set1/build/pga/man/man5/PGAGetBestIndex.5
A    trunk-new-rules-set1/build/pga/man/man5/PGAStddev.5
A    trunk-new-rules-set1/build/pga/man/man5/PGASetRandomSeed.5
A    trunk-new-rules-set1/build/pga/man/man8
A    trunk-new-rules-set1/build/pga/man/man5/PGACheckSum.5
A    trunk-new-rules-set1/build/pga/man/man5/PGARound.5
A    trunk-new-rules-set1/build/pga/man/man5/PGARandomGaussian.5
A    trunk-new-rules-set1/build/pga/man/man5/PGARandomFlip.5
A    trunk-new-rules-set1/build/pga/man/man5/PGAHammingDistance.5
A    trunk-new-rules-set1/build/pga/man/man6/PGAError.6
A    trunk-new-rules-set1/build/pga/man/man6/PGAGetMaxMachineIntValue.6
A    trunk-new-rules-set1/build/pga/man/man7/PGAPrintString.7
A    trunk-new-rules-set1/build/pga/man/man6/PGAGetMaxMachineDoubleValue.6
A    trunk-new-rules-set1/build/pga/man/man6/PGAGetMinMachineIntValue.6
A    trunk-new-rules-set1/build/pga/man/man7/PGASetPrintOptions.7
A    trunk-new-rules-set1/build/pga/man/man7/PGASetPrintFrequencyValue.7
A    trunk-new-rules-set1/build/pga/man/man8/PGADuplicate.8
A    trunk-new-rules-set1/build/pga/man/man8/PGAGetOptDirFlag.8
A    trunk-new-rules-set1/build/pga/man/man8/PGAGetStringLength.8
A    trunk-new-rules-set1/build/pga/man/man8/PGARunMutationAndCrossover.8
A    trunk-new-rules-set1/build/pga/man/man8/PGADone.8
A    trunk-new-rules-set1/build/pga/man/man8/PGASetMaxGAIterValue.8
A    trunk-new-rules-set1/build/pga/man/man8/PGAGetStoppingRuleType.8
A    trunk-new-rules-set1/build/pga/man/man8/PGASetUserFunction.8
A    trunk-new-rules-set1/build/pga/man/manl
A    trunk-new-rules-set1/build/pga/man/man7/PGAPrintPopulation.7
A    trunk-new-rules-set1/build/pga/man/man8/PGASetStoppingRuleType.8
A    trunk-new-rules-set1/build/pga/man/man8/PGADestroy.8
A    trunk-new-rules-set1/build/pga/man/man8/PGAGetSortedPopIndex.8
A    trunk-new-rules-set1/build/pga/man/man8/PGAGetMaxGAIterValue.8
A    trunk-new-rules-set1/build/pga/man/man8/PGAGetNoDuplicatesFlag.8
A    trunk-new-rules-set1/build/pga/man/man8/PGAGetPopSize.8
A    trunk-new-rules-set1/build/pga/man/man8/PGAGetPopReplaceType.8
A    trunk-new-rules-set1/build/pga/man/man8/PGASetNoDuplicatesFlag.8
A    trunk-new-rules-set1/build/pga/man/man7/PGAPrintContextVariable.7
A    trunk-new-rules-set1/build/pga/man/man7/PGAGetPrintFrequencyValue.7
A    trunk-new-rules-set1/build/pga/man/man8/PGAChange.8
A    trunk-new-rules-set1/build/pga/man/man8/PGAGetMutationOrCrossoverFlag.8
A    trunk-new-rules-set1/build/pga/man/man8/PGASetMutationOrCrossoverFlag.8
A    trunk-new-rules-set1/build/pga/man/man8/PGACopyIndividual.8
A    trunk-new-rules-set1/build/pga/man/man8/PGARunGM.8
A    trunk-new-rules-set1/build/pga/man/man8/PGARunMutationOrCrossover.8
A    trunk-new-rules-set1/build/pga/man/man8/PGASetMutationAndCrossoverFlag.8
A    trunk-new-rules-set1/build/pga/man/man6/PGAGetMinMachineDoubleValue.6
A    trunk-new-rules-set1/build/pga/man/man7/PGAPrintIndividual.7
A    trunk-new-rules-set1/build/pga/man/man7/PGAPrintReport.7
A    trunk-new-rules-set1/build/pga/man/man8/PGAGetDataType.8
A    trunk-new-rules-set1/build/pga/man/man8/PGASetUp.8
A    trunk-new-rules-set1/build/pga/man/man8/PGAGetGAIterValue.8
A    trunk-new-rules-set1/build/pga/man/man8/PGAGetMutationAndCrossoverFlag.8
A    trunk-new-rules-set1/build/pga/man/man8/PGAGetNumReplaceValue.8
A    trunk-new-rules-set1/build/pga/man/man8/PGACheckStoppingConditions.8
A    trunk-new-rules-set1/build/pga/man/man8/PGAUpdateGeneration.8
A    trunk-new-rules-set1/build/pga/man/man8/PGASetMaxNoChangeValue.8
A    trunk-new-rules-set1/build/pga/man/man1
A    trunk-new-rules-set1/build/pga/man/man8/PGASetNumReplaceValue.8
A    trunk-new-rules-set1/build/pga/man/man8/PGASortPop.8
A    trunk-new-rules-set1/build/pga/man/man8/PGARun.8
A    trunk-new-rules-set1/build/pga/man/man8/PGASetPopReplaceType.8
A    trunk-new-rules-set1/build/pga/man/man8/PGACreate.8
A    trunk-new-rules-set1/build/pga/man/man8/PGASetMaxSimilarityValue.8
A    trunk-new-rules-set1/build/pga/util
A    trunk-new-rules-set1/build/pga/man/man8/PGASetPopSize.8
A    trunk-new-rules-set1/build/pga/man/manl/PGASetDebugLevel.l
A    trunk-new-rules-set1/build/pga/man/manl/PGASetDebugLevelByName.l
A    trunk-new-rules-set1/build/pga/man/manl/PGAClearDebugLevel.l
A    trunk-new-rules-set1/build/pga/man/mandesc
D    trunk-new-rules-set1/build/automc/etc-apache-local-conf-httpd.conf
D    trunk-new-rules-set1/build/mkupdates/tick_zone_serial
D    trunk-new-rules-set1/build/mkupdates/run_part2
A    trunk-new-rules-set1/build/pga/man/man1/PGAEncodeRealAsBinary.1
A    trunk-new-rules-set1/build/pga/man/man1/PGAGetRealAllele.1
A    trunk-new-rules-set1/build/pga/man/man1/PGAGetEvaluationUpToDateFlag.1
A    trunk-new-rules-set1/build/pga/man/man1/PGAGetIntegerAllele.1
A    trunk-new-rules-set1/build/pga/man/man1/PGASetBinaryAllele.1
A    trunk-new-rules-set1/build/pga/man/man1/PGASetIntegerAllele.1
A    trunk-new-rules-set1/build/pga/man/man1/PGAEvaluate.1
A    trunk-new-rules-set1/build/pga/man/man1/PGAGetFitnessCmaxValue.1
A    trunk-new-rules-set1/build/pga/man/man1/PGASetFitnessCmaxValue.1
A    trunk-new-rules-set1/build/pga/man/man1/PGAGetBinaryAllele.1
A    trunk-new-rules-set1/build/pga/man/man1/PGAGetEvaluation.1
A    trunk-new-rules-set1/build/pga/man/man1/PGAEncodeIntegerAsGrayCode.1
A    trunk-new-rules-set1/build/pga/man/man1/PGASetEvaluationUpToDateFlag.1
A    trunk-new-rules-set1/build/pga/man/man1/PGASetFitnessType.1
A    trunk-new-rules-set1/build/pga/man/man1/PGASetMaxFitnessRank.1
A    trunk-new-rules-set1/build/pga/man/man1/PGAGetFitnessMinType.1
A    trunk-new-rules-set1/build/pga/man/man1/PGAGetIntegerFromGrayCode.1
A    trunk-new-rules-set1/build/pga/man/man1/PGAEncodeIntegerAsBinary.1
A    trunk-new-rules-set1/build/pga/man/man1/PGAGetCharacterAllele.1
A    trunk-new-rules-set1/build/pga/man/man1/PGASetRealAllele.1
A    trunk-new-rules-set1/build/pga/man/man1/PGASetCharacterAllele.1
A    trunk-new-rules-set1/build/pga/man/man1/PGAGetMaxFitnessRank.1
A    trunk-new-rules-set1/build/pga/man/man1/PGAGetRealFromBinary.1
A    trunk-new-rules-set1/build/pga/man/man1/PGAGetIntegerFromBinary.1
A    trunk-new-rules-set1/build/pga/man/manl/PGADebugPrint.l
A    trunk-new-rules-set1/build/pga/man/manl/PGAClearDebugLevelByName.l
A    trunk-new-rules-set1/build/pga/man/man1/PGASetFitnessMinType.1
A    trunk-new-rules-set1/build/pga/man/man1/PGAEncodeRealAsGrayCode.1
A    trunk-new-rules-set1/build/pga/man/man1/PGAFitness.1
A    trunk-new-rules-set1/build/pga/man/man1/PGAGetFitnessType.1
A    trunk-new-rules-set1/build/pga/man/man1/PGASetEvaluation.1
A    trunk-new-rules-set1/build/pga/man/man1/PGARank.1
A    trunk-new-rules-set1/build/pga/man/man1/PGAGetFitness.1
A    trunk-new-rules-set1/build/pga/man/man1/PGAGetRealFromGrayCode.1
A    trunk-new-rules-set1/build/pga/Makefile
A    trunk-new-rules-set1/build/pga/README
A    trunk-new-rules-set1/build/pga/util/upgrade_script.pl
A    trunk-new-rules-set1/build/pga/util/README
A    trunk-new-rules-set1/build/pga/util/wordsizes.c
A    trunk-new-rules-set1/build/pga/util/convertfortran.pl
U    trunk-new-rules-set1/build/mkupdates/do-stable-update-with-scores
U    trunk-new-rules-set1/build/mkupdates/run_nightly
U    trunk-new-rules-set1/build/automc/etc-rsyncd.conf
A    trunk-new-rules-set1/build/automc/apache2.conf
U    trunk-new-rules-set1/build/mkupdates/mkupdate-with-scores
Updated to revision 1797307.
+ set +x
patching file Makefile
Fri Jun  2 02:25:23 UTC 2017
[ generating active ruleset via make ]
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 customise what tests are run, and how.

checking module dependencies and their versions...

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

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

checking binary dependencies and their versions...
Warning: prerequisite Digest::SHA1 0 not found.

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

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

   *IMPORTANT NOTE*: You only need one of these programs.

dependency check complete...

optional module missing: Digest::SHA1
optional binary missing or nonfunctional: fetch

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

Checking if your kit is complete...
Looks good
Generating a Unix-style Makefile
Writing Makefile for Mail::SpamAssassin
Writing MYMETA.yml and MYMETA.json
Makefile written by ExtUtils::MakeMaker 7.0401
Fri Jun  2 02:25:41 UTC 2017
[ running log-grep-recent ]
Month distribution:

    3811 (  2%)      3811   0-1 months old
    9718 (  5%)      5907   1-2 months old
   15732 (  8%)      6014   2-3 months old
   25262 ( 14%)      9530   3-4 months old
   38708 ( 21%)     13446   4-5 months old
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   61388 ( 34%)      8693   6-7 months old
   66855 ( 37%)      5467   7-8 months old
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  160816 ( 90%)      1749  33-34 months old
  162012 ( 91%)      1196  34-35 months old
  163333 ( 92%)      1321  35-36 months old
  163893 ( 92%)       560  36-37 months old
  163953 ( 92%)        60  37-38 months old
  164039 ( 92%)        86  38-39 months old
  165277 ( 93%)      1238  39-40 months old
  165810 ( 93%)       533  40-41 months old
  165960 ( 93%)       150  41-42 months old
  166229 ( 93%)       269  42-43 months old
  166344 ( 94%)       115  43-44 months old
  166442 ( 94%)        98  44-45 months old
  166682 ( 94%)       240  45-46 months old
  166860 ( 94%)       178  46-47 months old
  167021 ( 94%)       161  47-48 months old
  167305 ( 94%)       284  48-49 months old
  167533 ( 94%)       228  49-50 months old
  167757 ( 94%)       224  50-51 months old
  168011 ( 94%)       254  51-52 months old
  168371 ( 95%)       360  52-53 months old
  168569 ( 95%)       198  53-54 months old
  168695 ( 95%)       126  54-55 months old
  168871 ( 95%)       176  55-56 months old
  169187 ( 95%)       316  56-57 months old
  169568 ( 95%)       381  57-58 months old
  170279 ( 96%)       711  58-59 months old
  171426 ( 96%)      1147  59-60 months old
  172218 ( 97%)       792  60-61 months old
  172603 ( 97%)       385  61-62 months old
  173105 ( 97%)       502  62-63 months old
  173838 ( 98%)       733  63-64 months old
  174339 ( 98%)       501  64-65 months old
  174987 ( 98%)       648  65-66 months old
  175123 ( 98%)       136  66-67 months old
  175319 ( 99%)       196  67-68 months old
  175417 ( 99%)        98  68-69 months old
  175549 ( 99%)       132  69-70 months old
  175683 ( 99%)       134  70-71 months old
  175743 ( 99%)        60  71-72 months old
  175791 ( 99%)        48  72-73 months old
  175824 ( 99%)        33  73-74 months old
  175881 ( 99%)        57  74-75 months old
  175968 ( 99%)        87  75-76 months old
  176105 ( 99%)       137  76-77 months old
  176302 ( 99%)       197  77-78 months old
  176516 ( 99%)       214  78-79 months old
  176732 ( 99%)       216  79-80 months old
  176810 ( 99%)        78  80-81 months old
  176917 ( 99%)       107  81-82 months old
  176919 ( 99%)         2  86-87 months old
  176922 ( 99%)         3  99-100 months old
  176925 ( 99%)         3  106-107 months old
  176929 ( 99%)         4  112-113 months old
  176931 ( 99%)         2  141-142 months old
  176935 (100%)         4  146-147 months old
Month distribution:

  268459 ( 74%)    268459   0-1 months old
  270725 ( 75%)      2266   1-2 months old
  272096 ( 75%)      1371   2-3 months old
  272977 ( 75%)       881   3-4 months old
  286913 ( 79%)     13936   4-5 months old
  289654 ( 80%)      2741   5-6 months old
  293445 ( 81%)      3791   6-7 months old
  296709 ( 82%)      3264   7-8 months old
  298799 ( 83%)      2090   8-9 months old
  300234 ( 83%)      1435   9-10 months old
  302649 ( 84%)      2415  10-11 months old
  305524 ( 84%)      2875  11-12 months old
  308608 ( 85%)      3084  12-13 months old
  311423 ( 86%)      2815  13-14 months old
  314408 ( 87%)      2985  14-15 months old
  316702 ( 88%)      2294  15-16 months old
  317910 ( 88%)      1208  16-17 months old
  319067 ( 88%)      1157  17-18 months old
  320712 ( 89%)      1645  18-19 months old
  322477 ( 89%)      1765  19-20 months old
  324208 ( 90%)      1731  20-21 months old
  326051 ( 90%)      1843  21-22 months old
  327760 ( 91%)      1709  22-23 months old
  329555 ( 91%)      1795  23-24 months old
  331072 ( 92%)      1517  24-25 months old
  332365 ( 92%)      1293  25-26 months old
  333703 ( 92%)      1338  26-27 months old
  335202 ( 93%)      1499  27-28 months old
  337542 ( 93%)      2340  28-29 months old
  340151 ( 94%)      2609  29-30 months old
  342197 ( 95%)      2046  30-31 months old
  343674 ( 95%)      1477  31-32 months old
  345118 ( 96%)      1444  32-33 months old
  347553 ( 96%)      2435  33-34 months old
  350611 ( 97%)      3058  34-35 months old
  351826 ( 97%)      1215  35-36 months old
  352178 ( 97%)       352  36-37 months old
  352622 ( 98%)       444  37-38 months old
  354394 ( 98%)      1772  38-39 months old
  356110 ( 99%)      1716  39-40 months old
  356458 ( 99%)       348  40-41 months old
  356737 ( 99%)       279  41-42 months old
  357185 ( 99%)       448  42-43 months old
  357343 ( 99%)       158  43-44 months old
  357543 ( 99%)       200  44-45 months old
  357692 ( 99%)       149  45-46 months old
  357785 ( 99%)        93  46-47 months old
  357965 ( 99%)       180  47-48 months old
  358239 ( 99%)       274  48-49 months old
  358380 ( 99%)       141  49-50 months old
  358784 ( 99%)       404  50-51 months old
  359262 ( 99%)       478  51-52 months old
  359371 ( 99%)       109  52-53 months old
  359436 ( 99%)        65  53-54 months old
  359438 ( 99%)         2  55-56 months old
  359443 ( 99%)         5  56-57 months old
  359444 ( 99%)         1  57-58 months old
  359445 ( 99%)         1  58-59 months old
  359446 (100%)         1  76-77 months old
 HAM: 176917 (150000 required)
SPAM: 272096 (150000 required)
Fri Jun  2 02:26:14 UTC 2017
[ running make freqs ]
/usr/local/spamassassin/automc/tmp/generate-new-scores/trunk-new-rules-set1/masses
+ make clean
rm -rf *.o perceptron tmp freqs badrules \
          perceptron.scores garescorer garescorer.scores
+ set +x
+ make freqs SCORESET=1
perl hit-frequencies -c ../rules -x -p -s 1 > freqs
+ make
+ set +x
Fri Jun  2 02:27:19 UTC 2017
[ starting runGA ]
+ mkdir -p gen-set1-10-5.0-5500-ga gen-set1-10-5.0-5500-ga/NSBASE gen-set1-10-5.0-5500-ga/SPBASE
tee: gen-set1-10-5.0-5500-ga/log: No such file or directory
+ [ -d gen-set1-10-5.0-5500-ga ]
+ rm -rf tmprules
+ cp -r ../rules tmprules
+ cp tmprules/50_scores.cf orig_scores.cf
+ ./enable-all-evolved-rules
Argument "2015-05-01" isn't numeric in addition (+) at ./enable-all-evolved-rules line 47, <> line 346.
+ mv tmprules/50_scores.cf.new tmprules/50_scores.cf
+ [ y = y ]
+ rm tmprules/70_sandbox.cf
+ echo [Doing a scoreset 1 score-generation run]
+ echo [Cleaning up]
+ rm -rf spam-test.log ham-test.log spam.log ham.log NSBASE SPBASE tmp make.output freqs perceptron.scores garescorer.scores
[Doing a scoreset 1 score-generation run]
[Cleaning up]
+ make clean
rm -rf *.o perceptron tmp freqs badrules \
          perceptron.scores garescorer garescorer.scores
+ echo [Generating 90/10 split ham]
+ perl tenpass/split-log-into-buckets-cached 9:gen-cache/ham-split9.log 1:gen-cache/ham-split1.log[Generating 90/10 split ham]
 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 gen-cache/ham-split9.log gen-set1-10-5.0-5500-ga/NSBASE/ham.log
+ ln gen-cache/ham-split1.log gen-set1-10-5.0-5500-ga/NSBASE/ham-test.log
+ echo [Generating 90/10 split spam]
+ perl tenpass/split-log-into-buckets-cached 9:gen-cache/spam-split9.log 1:gen-cache/spam-split1.log ORIG/spam-set1.log
[Generating 90/10 split spam]
Creating gen-cache/spam-split9.log with 9 buckets
Creating gen-cache/spam-split1.log with 1 buckets
Reading from ORIG/spam-set1.log
+ ln gen-cache/spam-split9.log gen-set1-10-5.0-5500-ga/SPBASE/spam.log
+ ln gen-cache/spam-split1.log gen-set1-10-5.0-5500-ga/SPBASE/spam-test.log
+ echo [Setting up for gen run]
+ ln -s gen-set1-10-5.0-5500-ga/SPBASE/spam.log .
[Setting up for gen run]
+ ln -s gen-set1-10-5.0-5500-ga/NSBASE/ham.log .
+ ln -s gen-set1-10-5.0-5500-ga/SPBASE/spam-test.log .
+ ln -s gen-set1-10-5.0-5500-ga/NSBASE/ham-test.log .
+ uname
+ ostype=Linux
+ [ Linux = FreeBSD ]
+ [ Linux = SunOS ]
+ cpucount
+ egrep -c ^processor\b /proc/cpuinfo
+ numcpus=2
+ [ 2 -le 0 ]
+ echo [Generating GA]
+ make -j 2 SCORESET=1 garescorer
[Generating GA]
+ cp freqs gen-set1-10-5.0-5500-ga/freqs
+ echo [config]
+ cat config
[config]
SCORESET=1
HAM_PREFERENCE=10
THRESHOLD=5.0
EPOCHS=5500
NOTE=
+ echo [gen run start]
+ pwd
+ date
[gen run start]
/usr/local/spamassassin/automc/tmp/generate-new-scores/trunk-new-rules-set1/masses
Fri Jun  2 02:28:17 UTC 2017
+ time ./garescorer -b 10 -e 5500 -t 5.0
Read test results for 53036 messages (358821 total).
Read scores for 516 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: 40.827 iterations/s, iteration no. 50

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138656  38.642%  (98.109% of non-spam corpus)
# Correctly spam:     202552  56.449%  (93.130% of spam corpus)
# False positives:      2672  0.745%  (1.891% of nonspam, 329891 weighted)
# False negatives:     14941  4.164%  (6.870% of spam,  32074 weighted)
# Average score for spam:  13.3    nonspam: 0.2
# Average for false-pos:   8.0  false-neg: 2.1
# TOTAL:              358821  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: 107.579 iterations/s, iteration no. 100

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138716  38.659%  (98.152% of non-spam corpus)
# Correctly spam:     202723  56.497%  (93.209% of spam corpus)
# False positives:      2612  0.728%  (1.848% of nonspam, 318147 weighted)
# False negatives:     14770  4.116%  (6.791% of spam,  31385 weighted)
# Average score for spam:  13.2    nonspam: 0.0
# Average for false-pos:   7.9  false-neg: 2.1
# TOTAL:              358821  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: 67.866 iterations/s, iteration no. 150

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138766  38.673%  (98.187% of non-spam corpus)
# Correctly spam:     203185  56.626%  (93.421% of spam corpus)
# False positives:      2562  0.714%  (1.813% of nonspam, 311364 weighted)
# False negatives:     14308  3.988%  (6.579% of spam,  28911 weighted)
# Average score for spam:  12.9    nonspam: -0.0
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  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: 46.897 iterations/s, iteration no. 200

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138772  38.674%  (98.191% of non-spam corpus)
# Correctly spam:     203236  56.640%  (93.445% of spam corpus)
# False positives:      2556  0.712%  (1.809% of nonspam, 309684 weighted)
# False negatives:     14257  3.973%  (6.555% of spam,  28899 weighted)
# Average score for spam:  12.8    nonspam: 0.0
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  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: 111.716 iterations/s, iteration no. 250

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138765  38.672%  (98.186% of non-spam corpus)
# Correctly spam:     203207  56.632%  (93.432% of spam corpus)
# False positives:      2563  0.714%  (1.814% of nonspam, 309620 weighted)
# False negatives:     14286  3.981%  (6.568% of spam,  29266 weighted)
# Average score for spam:  13.0    nonspam: 0.0
# Average for false-pos:   7.8  false-neg: 2.0
# TOTAL:              358821  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: 58.014 iterations/s, iteration no. 300

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138774  38.675%  (98.193% of non-spam corpus)
# Correctly spam:     203344  56.670%  (93.495% of spam corpus)
# False positives:      2554  0.712%  (1.807% of nonspam, 308730 weighted)
# False negatives:     14149  3.943%  (6.505% of spam,  28651 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

Iter #     Field      Value
300        Best       1.543012e+05
           Average    1.543799e+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: 38.522 iterations/s, iteration no. 350

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138771  38.674%  (98.191% of non-spam corpus)
# Correctly spam:     203263  56.647%  (93.457% of spam corpus)
# False positives:      2557  0.713%  (1.809% of nonspam, 308703 weighted)
# False negatives:     14230  3.966%  (6.543% of spam,  28970 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.8  false-neg: 2.0
# TOTAL:              358821  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: 65.447 iterations/s, iteration no. 400

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138775  38.675%  (98.194% of non-spam corpus)
# Correctly spam:     203233  56.639%  (93.443% of spam corpus)
# False positives:      2553  0.711%  (1.806% of nonspam, 308235 weighted)
# False negatives:     14260  3.974%  (6.557% of spam,  29066 weighted)
# Average score for spam:  12.9    nonspam: 0.1
# Average for false-pos:   7.8  false-neg: 2.0
# TOTAL:              358821  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: 48.116 iterations/s, iteration no. 450

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138777  38.676%  (98.195% of non-spam corpus)
# Correctly spam:     203235  56.640%  (93.444% of spam corpus)
# False positives:      2551  0.711%  (1.805% of nonspam, 308042 weighted)
# False negatives:     14258  3.974%  (6.556% of spam,  29052 weighted)
# Average score for spam:  12.9    nonspam: 0.1
# Average for false-pos:   7.8  false-neg: 2.0
# TOTAL:              358821  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: 146.879 iterations/s, iteration no. 500

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138777  38.676%  (98.195% of non-spam corpus)
# Correctly spam:     203153  56.617%  (93.407% of spam corpus)
# False positives:      2551  0.711%  (1.805% of nonspam, 308038 weighted)
# False negatives:     14340  3.996%  (6.593% of spam,  29471 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.8  false-neg: 2.1
# TOTAL:              358821  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: 76.820 iterations/s, iteration no. 550

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138777  38.676%  (98.195% of non-spam corpus)
# Correctly spam:     203154  56.617%  (93.407% of spam corpus)
# False positives:      2551  0.711%  (1.805% of nonspam, 308030 weighted)
# False negatives:     14339  3.996%  (6.593% of spam,  29463 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.8  false-neg: 2.1
# TOTAL:              358821  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: 53.865 iterations/s, iteration no. 600

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138777  38.676%  (98.195% of non-spam corpus)
# Correctly spam:     203265  56.648%  (93.458% of spam corpus)
# False positives:      2551  0.711%  (1.805% of nonspam, 308039 weighted)
# False negatives:     14228  3.965%  (6.542% of spam,  28919 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.8  false-neg: 2.0
# TOTAL:              358821  100.00%

Iter #     Field      Value
600        Best       1.539703e+05
           Average    1.540107e+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: 42.447 iterations/s, iteration no. 650

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138777  38.676%  (98.195% of non-spam corpus)
# Correctly spam:     203265  56.648%  (93.458% of spam corpus)
# False positives:      2551  0.711%  (1.805% of nonspam, 308037 weighted)
# False negatives:     14228  3.965%  (6.542% of spam,  28918 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.8  false-neg: 2.0
# TOTAL:              358821  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: 109.754 iterations/s, iteration no. 700

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138777  38.676%  (98.195% of non-spam corpus)
# Correctly spam:     203239  56.641%  (93.446% of spam corpus)
# False positives:      2551  0.711%  (1.805% of nonspam, 308037 weighted)
# False negatives:     14254  3.972%  (6.554% of spam,  29048 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.8  false-neg: 2.0
# TOTAL:              358821  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: 70.466 iterations/s, iteration no. 750

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138777  38.676%  (98.195% of non-spam corpus)
# Correctly spam:     203239  56.641%  (93.446% of spam corpus)
# False positives:      2551  0.711%  (1.805% of nonspam, 308036 weighted)
# False negatives:     14254  3.972%  (6.554% of spam,  29048 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.8  false-neg: 2.0
# TOTAL:              358821  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: 52.562 iterations/s, iteration no. 800

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138777  38.676%  (98.195% of non-spam corpus)
# Correctly spam:     203252  56.644%  (93.452% of spam corpus)
# False positives:      2551  0.711%  (1.805% of nonspam, 308035 weighted)
# False negatives:     14241  3.969%  (6.548% of spam,  28982 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.8  false-neg: 2.0
# TOTAL:              358821  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: 41.924 iterations/s, iteration no. 850

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138777  38.676%  (98.195% of non-spam corpus)
# Correctly spam:     203252  56.644%  (93.452% of spam corpus)
# False positives:      2551  0.711%  (1.805% of nonspam, 308035 weighted)
# False negatives:     14241  3.969%  (6.548% of spam,  28982 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.8  false-neg: 2.0
# TOTAL:              358821  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: 115.726 iterations/s, iteration no. 900

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138777  38.676%  (98.195% of non-spam corpus)
# Correctly spam:     203252  56.644%  (93.452% of spam corpus)
# False positives:      2551  0.711%  (1.805% of nonspam, 308035 weighted)
# False negatives:     14241  3.969%  (6.548% of spam,  28982 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.8  false-neg: 2.0
# TOTAL:              358821  100.00%

Iter #     Field      Value
900        Best       1.539685e+05
           Average    1.539712e+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: 77.114 iterations/s, iteration no. 950

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138778  38.676%  (98.196% of non-spam corpus)
# Correctly spam:     203252  56.644%  (93.452% of spam corpus)
# False positives:      2550  0.711%  (1.804% of nonspam, 307958 weighted)
# False negatives:     14241  3.969%  (6.548% of spam,  28982 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.8  false-neg: 2.0
# TOTAL:              358821  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: 58.224 iterations/s, iteration no. 1000

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138776  38.676%  (98.194% of non-spam corpus)
# Correctly spam:     203252  56.644%  (93.452% of spam corpus)
# False positives:      2552  0.711%  (1.806% of nonspam, 308112 weighted)
# False negatives:     14241  3.969%  (6.548% of spam,  28982 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.8  false-neg: 2.0
# TOTAL:              358821  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: 47.716 iterations/s, iteration no. 1050

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138776  38.676%  (98.194% of non-spam corpus)
# Correctly spam:     203252  56.644%  (93.452% of spam corpus)
# False positives:      2552  0.711%  (1.806% of nonspam, 308112 weighted)
# False negatives:     14241  3.969%  (6.548% of spam,  28982 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.8  false-neg: 2.0
# TOTAL:              358821  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: 195.777 iterations/s, iteration no. 1100

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138776  38.676%  (98.194% of non-spam corpus)
# Correctly spam:     203252  56.644%  (93.452% of spam corpus)
# False positives:      2552  0.711%  (1.806% of nonspam, 308119 weighted)
# False negatives:     14241  3.969%  (6.548% of spam,  28989 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.8  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 377 0 0 548 0
Adapt (over, cross, repeat): 152 5 323
Performance: 45.538 iterations/s, iteration no. 1150

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138775  38.675%  (98.194% of non-spam corpus)
# Correctly spam:     203252  56.644%  (93.452% of spam corpus)
# False positives:      2553  0.711%  (1.806% of nonspam, 308196 weighted)
# False negatives:     14241  3.969%  (6.548% of spam,  28989 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.8  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1303 0 0 2418 0
Adapt (over, cross, repeat): 522 35 1637
Performance: 18.174 iterations/s, iteration no. 1200

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138777  38.676%  (98.195% of non-spam corpus)
# Correctly spam:     203247  56.643%  (93.450% of spam corpus)
# False positives:      2551  0.711%  (1.805% of nonspam, 308041 weighted)
# False negatives:     14246  3.970%  (6.550% of spam,  29013 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.8  false-neg: 2.0
# TOTAL:              358821  100.00%

Iter #     Field      Value
1200       Best       1.539681e+05
           Average    1.539857e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1264 0 0 3164 0
Adapt (over, cross, repeat): 486 44 2386
Performance: 13.151 iterations/s, iteration no. 1250

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138783  38.678%  (98.199% of non-spam corpus)
# Correctly spam:     203247  56.643%  (93.450% of spam corpus)
# False positives:      2545  0.709%  (1.801% of nonspam, 307579 weighted)
# False negatives:     14246  3.970%  (6.550% of spam,  29013 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1213 0 0 2252 0
Adapt (over, cross, repeat): 472 17 1511
Performance: 15.437 iterations/s, iteration no. 1300

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138783  38.678%  (98.199% of non-spam corpus)
# Correctly spam:     203247  56.643%  (93.450% of spam corpus)
# False positives:      2545  0.709%  (1.801% of nonspam, 307579 weighted)
# False negatives:     14246  3.970%  (6.550% of spam,  29013 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1200 0 0 2979 0
Adapt (over, cross, repeat): 480 7 2259
Performance: 15.681 iterations/s, iteration no. 1350

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138783  38.678%  (98.199% of non-spam corpus)
# Correctly spam:     203247  56.643%  (93.450% of spam corpus)
# False positives:      2545  0.709%  (1.801% of nonspam, 307579 weighted)
# False negatives:     14246  3.970%  (6.550% of spam,  29013 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1172 0 0 1902 0
Adapt (over, cross, repeat): 460 18 1190
Performance: 20.635 iterations/s, iteration no. 1400

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138783  38.678%  (98.199% of non-spam corpus)
# Correctly spam:     203247  56.643%  (93.450% of spam corpus)
# False positives:      2545  0.709%  (1.801% of nonspam, 307579 weighted)
# False negatives:     14246  3.970%  (6.550% of spam,  29013 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1190 0 0 2438 0
Adapt (over, cross, repeat): 457 39 1705
Performance: 16.795 iterations/s, iteration no. 1450

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138782  38.677%  (98.199% of non-spam corpus)
# Correctly spam:     203251  56.644%  (93.452% of spam corpus)
# False positives:      2546  0.710%  (1.801% of nonspam, 307654 weighted)
# False negatives:     14242  3.969%  (6.548% of spam,  28993 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1230 0 0 2177 0
Adapt (over, cross, repeat): 487 18 1434
Performance: 14.781 iterations/s, iteration no. 1500

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138783  38.678%  (98.199% of non-spam corpus)
# Correctly spam:     203251  56.644%  (93.452% of spam corpus)
# False positives:      2545  0.709%  (1.801% of nonspam, 307577 weighted)
# False negatives:     14242  3.969%  (6.548% of spam,  28993 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

Iter #     Field      Value
1500       Best       1.539651e+05
           Average    1.539997e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1329 0 0 1825 0
Adapt (over, cross, repeat): 519 24 1015
Performance: 19.398 iterations/s, iteration no. 1550

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138783  38.678%  (98.199% of non-spam corpus)
# Correctly spam:     203251  56.644%  (93.452% of spam corpus)
# False positives:      2545  0.709%  (1.801% of nonspam, 307577 weighted)
# False negatives:     14242  3.969%  (6.548% of spam,  28993 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1175 0 0 2092 0
Adapt (over, cross, repeat): 447 19 1364
Performance: 17.449 iterations/s, iteration no. 1600

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138783  38.678%  (98.199% of non-spam corpus)
# Correctly spam:     203251  56.644%  (93.452% of spam corpus)
# False positives:      2545  0.709%  (1.801% of nonspam, 307576 weighted)
# False negatives:     14242  3.969%  (6.548% of spam,  28993 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1303 0 0 2382 0
Adapt (over, cross, repeat): 505 25 1584
Performance: 14.625 iterations/s, iteration no. 1650

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138783  38.678%  (98.199% of non-spam corpus)
# Correctly spam:     203247  56.643%  (93.450% of spam corpus)
# False positives:      2545  0.709%  (1.801% of nonspam, 307576 weighted)
# False negatives:     14246  3.970%  (6.550% of spam,  29013 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1206 0 0 1533 0
Adapt (over, cross, repeat): 452 25 779
Performance: 21.596 iterations/s, iteration no. 1700

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138783  38.678%  (98.199% of non-spam corpus)
# Correctly spam:     203247  56.643%  (93.450% of spam corpus)
# False positives:      2545  0.709%  (1.801% of nonspam, 307576 weighted)
# False negatives:     14246  3.970%  (6.550% of spam,  29013 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1218 0 0 2297 0
Adapt (over, cross, repeat): 443 20 1522
Performance: 18.357 iterations/s, iteration no. 1750

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138784  38.678%  (98.200% of non-spam corpus)
# Correctly spam:     203247  56.643%  (93.450% of spam corpus)
# False positives:      2544  0.709%  (1.800% of nonspam, 307499 weighted)
# False negatives:     14246  3.970%  (6.550% of spam,  29013 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1213 0 0 1853 0
Adapt (over, cross, repeat): 446 31 1086
Performance: 17.623 iterations/s, iteration no. 1800

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138784  38.678%  (98.200% of non-spam corpus)
# Correctly spam:     203247  56.643%  (93.450% of spam corpus)
# False positives:      2544  0.709%  (1.800% of nonspam, 307499 weighted)
# False negatives:     14246  3.970%  (6.550% of spam,  29013 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

Iter #     Field      Value
1800       Best       1.539651e+05
           Average    1.539864e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1262 0 0 2306 0
Adapt (over, cross, repeat): 491 26 1535
Performance: 15.098 iterations/s, iteration no. 1850

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138788  38.679%  (98.203% of non-spam corpus)
# Correctly spam:     203129  56.610%  (93.396% of spam corpus)
# False positives:      2540  0.708%  (1.797% of nonspam, 307190 weighted)
# False negatives:     14364  4.003%  (6.604% of spam,  29600 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.1
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1228 0 0 2296 0
Adapt (over, cross, repeat): 441 69 1509
Performance: 18.353 iterations/s, iteration no. 1900

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138788  38.679%  (98.203% of non-spam corpus)
# Correctly spam:     203129  56.610%  (93.396% of spam corpus)
# False positives:      2540  0.708%  (1.797% of nonspam, 307190 weighted)
# False negatives:     14364  4.003%  (6.604% of spam,  29600 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.1
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1304 0 0 2207 0
Adapt (over, cross, repeat): 476 53 1379
Performance: 16.251 iterations/s, iteration no. 1950

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138788  38.679%  (98.203% of non-spam corpus)
# Correctly spam:     203129  56.610%  (93.396% of spam corpus)
# False positives:      2540  0.708%  (1.797% of nonspam, 307190 weighted)
# False negatives:     14364  4.003%  (6.604% of spam,  29600 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.1
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1155 0 0 1325 0
Adapt (over, cross, repeat): 420 21 590
Performance: 27.850 iterations/s, iteration no. 2000

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138784  38.678%  (98.200% of non-spam corpus)
# Correctly spam:     203247  56.643%  (93.450% of spam corpus)
# False positives:      2544  0.709%  (1.800% of nonspam, 307499 weighted)
# False negatives:     14246  3.970%  (6.550% of spam,  29013 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1044 0 0 1692 0
Adapt (over, cross, repeat): 382 19 1030
Performance: 18.360 iterations/s, iteration no. 2050

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138784  38.678%  (98.200% of non-spam corpus)
# Correctly spam:     203247  56.643%  (93.450% of spam corpus)
# False positives:      2544  0.709%  (1.800% of nonspam, 307499 weighted)
# False negatives:     14246  3.970%  (6.550% of spam,  29013 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1160 0 0 1510 0
Adapt (over, cross, repeat): 418 13 768
Performance: 19.847 iterations/s, iteration no. 2100

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138784  38.678%  (98.200% of non-spam corpus)
# Correctly spam:     203247  56.643%  (93.450% of spam corpus)
# False positives:      2544  0.709%  (1.800% of nonspam, 307499 weighted)
# False negatives:     14246  3.970%  (6.550% of spam,  29013 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

Iter #     Field      Value
2100       Best       1.539650e+05
           Average    1.539723e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1201 0 0 2007 0
Adapt (over, cross, repeat): 424 16 1230
Performance: 18.921 iterations/s, iteration no. 2150

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138784  38.678%  (98.200% of non-spam corpus)
# Correctly spam:     203247  56.643%  (93.450% of spam corpus)
# False positives:      2544  0.709%  (1.800% of nonspam, 307499 weighted)
# False negatives:     14246  3.970%  (6.550% of spam,  29013 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1190 0 0 2163 0
Adapt (over, cross, repeat): 431 18 1404
Performance: 17.236 iterations/s, iteration no. 2200

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138784  38.678%  (98.200% of non-spam corpus)
# Correctly spam:     203233  56.639%  (93.443% of spam corpus)
# False positives:      2544  0.709%  (1.800% of nonspam, 307499 weighted)
# False negatives:     14260  3.974%  (6.557% of spam,  29083 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1152 0 0 2392 0
Adapt (over, cross, repeat): 411 13 1651
Performance: 15.232 iterations/s, iteration no. 2250

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138784  38.678%  (98.200% of non-spam corpus)
# Correctly spam:     203233  56.639%  (93.443% of spam corpus)
# False positives:      2544  0.709%  (1.800% of nonspam, 307499 weighted)
# False negatives:     14260  3.974%  (6.557% of spam,  29083 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1125 0 0 1652 0
Adapt (over, cross, repeat): 389 21 916
Performance: 23.076 iterations/s, iteration no. 2300

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138784  38.678%  (98.200% of non-spam corpus)
# Correctly spam:     203233  56.639%  (93.443% of spam corpus)
# False positives:      2544  0.709%  (1.800% of nonspam, 307499 weighted)
# False negatives:     14260  3.974%  (6.557% of spam,  29083 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1110 0 0 2077 0
Adapt (over, cross, repeat): 389 17 1356
Performance: 21.459 iterations/s, iteration no. 2350

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138784  38.678%  (98.200% of non-spam corpus)
# Correctly spam:     203233  56.639%  (93.443% of spam corpus)
# False positives:      2544  0.709%  (1.800% of nonspam, 307499 weighted)
# False negatives:     14260  3.974%  (6.557% of spam,  29083 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1152 0 0 1457 0
Adapt (over, cross, repeat): 390 20 695
Performance: 24.531 iterations/s, iteration no. 2400

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138784  38.678%  (98.200% of non-spam corpus)
# Correctly spam:     203233  56.639%  (93.443% of spam corpus)
# False positives:      2544  0.709%  (1.800% of nonspam, 307499 weighted)
# False negatives:     14260  3.974%  (6.557% of spam,  29083 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

Iter #     Field      Value
2400       Best       1.539649e+05
           Average    1.539662e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1219 0 0 1972 0
Adapt (over, cross, repeat): 444 17 1197
Performance: 22.898 iterations/s, iteration no. 2450

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138784  38.678%  (98.200% of non-spam corpus)
# Correctly spam:     203233  56.639%  (93.443% of spam corpus)
# False positives:      2544  0.709%  (1.800% of nonspam, 307500 weighted)
# False negatives:     14260  3.974%  (6.557% of spam,  29084 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1122 0 0 2667 0
Adapt (over, cross, repeat): 393 17 1938
Performance: 18.361 iterations/s, iteration no. 2500

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138784  38.678%  (98.200% of non-spam corpus)
# Correctly spam:     203233  56.639%  (93.443% of spam corpus)
# False positives:      2544  0.709%  (1.800% of nonspam, 307500 weighted)
# False negatives:     14260  3.974%  (6.557% of spam,  29084 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1185 0 0 1647 0
Adapt (over, cross, repeat): 418 29 880
Performance: 19.172 iterations/s, iteration no. 2550

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138784  38.678%  (98.200% of non-spam corpus)
# Correctly spam:     203233  56.639%  (93.443% of spam corpus)
# False positives:      2544  0.709%  (1.800% of nonspam, 307500 weighted)
# False negatives:     14260  3.974%  (6.557% of spam,  29084 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1140 0 0 1612 0
Adapt (over, cross, repeat): 393 13 865
Performance: 20.574 iterations/s, iteration no. 2600

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138784  38.678%  (98.200% of non-spam corpus)
# Correctly spam:     203233  56.639%  (93.443% of spam corpus)
# False positives:      2544  0.709%  (1.800% of nonspam, 307500 weighted)
# False negatives:     14260  3.974%  (6.557% of spam,  29084 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1162 0 0 1927 0
Adapt (over, cross, repeat): 392 24 1157
Performance: 20.501 iterations/s, iteration no. 2650

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138784  38.678%  (98.200% of non-spam corpus)
# Correctly spam:     203233  56.639%  (93.443% of spam corpus)
# False positives:      2544  0.709%  (1.800% of nonspam, 307500 weighted)
# False negatives:     14260  3.974%  (6.557% of spam,  29084 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1168 0 0 2162 0
Adapt (over, cross, repeat): 407 18 1401
Performance: 18.969 iterations/s, iteration no. 2700

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138784  38.678%  (98.200% of non-spam corpus)
# Correctly spam:     203233  56.639%  (93.443% of spam corpus)
# False positives:      2544  0.709%  (1.800% of nonspam, 307500 weighted)
# False negatives:     14260  3.974%  (6.557% of spam,  29084 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

Iter #     Field      Value
2700       Best       1.539648e+05
           Average    1.539785e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1126 0 0 1592 0
Adapt (over, cross, repeat): 357 38 823
Performance: 21.355 iterations/s, iteration no. 2750

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138784  38.678%  (98.200% of non-spam corpus)
# Correctly spam:     203233  56.639%  (93.443% of spam corpus)
# False positives:      2544  0.709%  (1.800% of nonspam, 307500 weighted)
# False negatives:     14260  3.974%  (6.557% of spam,  29084 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1138 0 0 1304 0
Adapt (over, cross, repeat): 372 19 538
Performance: 26.433 iterations/s, iteration no. 2800

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138784  38.678%  (98.200% of non-spam corpus)
# Correctly spam:     203233  56.639%  (93.443% of spam corpus)
# False positives:      2544  0.709%  (1.800% of nonspam, 307500 weighted)
# False negatives:     14260  3.974%  (6.557% of spam,  29084 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1119 0 0 1562 0
Adapt (over, cross, repeat): 353 30 796
Performance: 19.411 iterations/s, iteration no. 2850

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138784  38.678%  (98.200% of non-spam corpus)
# Correctly spam:     203233  56.639%  (93.443% of spam corpus)
# False positives:      2544  0.709%  (1.800% of nonspam, 307500 weighted)
# False negatives:     14260  3.974%  (6.557% of spam,  29084 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1156 0 0 1899 0
Adapt (over, cross, repeat): 378 13 1121
Performance: 19.783 iterations/s, iteration no. 2900

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138784  38.678%  (98.200% of non-spam corpus)
# Correctly spam:     203233  56.639%  (93.443% of spam corpus)
# False positives:      2544  0.709%  (1.800% of nonspam, 307500 weighted)
# False negatives:     14260  3.974%  (6.557% of spam,  29084 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1092 0 0 2368 0
Adapt (over, cross, repeat): 342 12 1618
Performance: 18.212 iterations/s, iteration no. 2950

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138784  38.678%  (98.200% of non-spam corpus)
# Correctly spam:     203233  56.639%  (93.443% of spam corpus)
# False positives:      2544  0.709%  (1.800% of nonspam, 307500 weighted)
# False negatives:     14260  3.974%  (6.557% of spam,  29084 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1080 0 0 1870 0
Adapt (over, cross, repeat): 333 16 1123
Performance: 18.487 iterations/s, iteration no. 3000

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138784  38.678%  (98.200% of non-spam corpus)
# Correctly spam:     203233  56.639%  (93.443% of spam corpus)
# False positives:      2544  0.709%  (1.800% of nonspam, 307500 weighted)
# False negatives:     14260  3.974%  (6.557% of spam,  29084 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

Iter #     Field      Value
3000       Best       1.539646e+05
           Average    1.540077e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1068 0 0 2287 0
Adapt (over, cross, repeat): 343 14 1562
Performance: 17.159 iterations/s, iteration no. 3050

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138784  38.678%  (98.200% of non-spam corpus)
# Correctly spam:     203233  56.639%  (93.443% of spam corpus)
# False positives:      2544  0.709%  (1.800% of nonspam, 307500 weighted)
# False negatives:     14260  3.974%  (6.557% of spam,  29084 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1131 0 0 2017 0
Adapt (over, cross, repeat): 374 19 1260
Performance: 16.971 iterations/s, iteration no. 3100

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138784  38.678%  (98.200% of non-spam corpus)
# Correctly spam:     203233  56.639%  (93.443% of spam corpus)
# False positives:      2544  0.709%  (1.800% of nonspam, 307500 weighted)
# False negatives:     14260  3.974%  (6.557% of spam,  29084 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1096 0 0 1867 0
Adapt (over, cross, repeat): 360 15 1131
Performance: 17.384 iterations/s, iteration no. 3150

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138784  38.678%  (98.200% of non-spam corpus)
# Correctly spam:     203233  56.639%  (93.443% of spam corpus)
# False positives:      2544  0.709%  (1.800% of nonspam, 307500 weighted)
# False negatives:     14260  3.974%  (6.557% of spam,  29084 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1130 0 0 2040 0
Adapt (over, cross, repeat): 337 26 1247
Performance: 17.778 iterations/s, iteration no. 3200

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138784  38.678%  (98.200% of non-spam corpus)
# Correctly spam:     203233  56.639%  (93.443% of spam corpus)
# False positives:      2544  0.709%  (1.800% of nonspam, 307500 weighted)
# False negatives:     14260  3.974%  (6.557% of spam,  29084 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1117 0 0 1888 0
Adapt (over, cross, repeat): 357 17 1128
Performance: 18.386 iterations/s, iteration no. 3250

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138784  38.678%  (98.200% of non-spam corpus)
# Correctly spam:     203233  56.639%  (93.443% of spam corpus)
# False positives:      2544  0.709%  (1.800% of nonspam, 307500 weighted)
# False negatives:     14260  3.974%  (6.557% of spam,  29084 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1129 0 0 2367 0
Adapt (over, cross, repeat): 354 20 1592
Performance: 17.038 iterations/s, iteration no. 3300

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138784  38.678%  (98.200% of non-spam corpus)
# Correctly spam:     203233  56.639%  (93.443% of spam corpus)
# False positives:      2544  0.709%  (1.800% of nonspam, 307500 weighted)
# False negatives:     14260  3.974%  (6.557% of spam,  29084 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

Iter #     Field      Value
3300       Best       1.539645e+05
           Average    1.539694e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1132 0 0 2142 0
Adapt (over, cross, repeat): 343 22 1353
Performance: 16.914 iterations/s, iteration no. 3350

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138784  38.678%  (98.200% of non-spam corpus)
# Correctly spam:     203233  56.639%  (93.443% of spam corpus)
# False positives:      2544  0.709%  (1.800% of nonspam, 307500 weighted)
# False negatives:     14260  3.974%  (6.557% of spam,  29084 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1107 0 0 1990 0
Adapt (over, cross, repeat): 331 20 1214
Performance: 17.481 iterations/s, iteration no. 3400

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138786  38.678%  (98.201% of non-spam corpus)
# Correctly spam:     203233  56.639%  (93.443% of spam corpus)
# False positives:      2542  0.708%  (1.799% of nonspam, 307346 weighted)
# False negatives:     14260  3.974%  (6.557% of spam,  29084 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1136 0 0 1421 0
Adapt (over, cross, repeat): 352 27 637
Performance: 20.580 iterations/s, iteration no. 3450

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138786  38.678%  (98.201% of non-spam corpus)
# Correctly spam:     203233  56.639%  (93.443% of spam corpus)
# False positives:      2542  0.708%  (1.799% of nonspam, 307346 weighted)
# False negatives:     14260  3.974%  (6.557% of spam,  29084 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1054 0 0 1226 0
Adapt (over, cross, repeat): 311 22 483
Performance: 27.378 iterations/s, iteration no. 3500

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138786  38.678%  (98.201% of non-spam corpus)
# Correctly spam:     203233  56.639%  (93.443% of spam corpus)
# False positives:      2542  0.708%  (1.799% of nonspam, 307346 weighted)
# False negatives:     14260  3.974%  (6.557% of spam,  29084 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1146 0 0 1473 0
Adapt (over, cross, repeat): 356 9 683
Performance: 20.588 iterations/s, iteration no. 3550

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138786  38.678%  (98.201% of non-spam corpus)
# Correctly spam:     203233  56.639%  (93.443% of spam corpus)
# False positives:      2542  0.708%  (1.799% of nonspam, 307346 weighted)
# False negatives:     14260  3.974%  (6.557% of spam,  29084 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1121 0 0 1610 0
Adapt (over, cross, repeat): 340 25 829
Performance: 23.341 iterations/s, iteration no. 3600

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138786  38.678%  (98.201% of non-spam corpus)
# Correctly spam:     203247  56.643%  (93.450% of spam corpus)
# False positives:      2542  0.708%  (1.799% of nonspam, 307346 weighted)
# False negatives:     14246  3.970%  (6.550% of spam,  29014 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

Iter #     Field      Value
3600       Best       1.539645e+05
           Average    1.539795e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1032 0 0 2083 0
Adapt (over, cross, repeat): 313 12 1364
Performance: 23.338 iterations/s, iteration no. 3650

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138786  38.678%  (98.201% of non-spam corpus)
# Correctly spam:     203247  56.643%  (93.450% of spam corpus)
# False positives:      2542  0.708%  (1.799% of nonspam, 307346 weighted)
# False negatives:     14246  3.970%  (6.550% of spam,  29014 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 959 0 0 1696 0
Adapt (over, cross, repeat): 282 16 1019
Performance: 26.969 iterations/s, iteration no. 3700

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138786  38.678%  (98.201% of non-spam corpus)
# Correctly spam:     203247  56.643%  (93.450% of spam corpus)
# False positives:      2542  0.708%  (1.799% of nonspam, 307346 weighted)
# False negatives:     14246  3.970%  (6.550% of spam,  29014 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1078 0 0 1567 0
Adapt (over, cross, repeat): 310 5 799
Performance: 20.426 iterations/s, iteration no. 3750

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138786  38.678%  (98.201% of non-spam corpus)
# Correctly spam:     203247  56.643%  (93.450% of spam corpus)
# False positives:      2542  0.708%  (1.799% of nonspam, 307346 weighted)
# False negatives:     14246  3.970%  (6.550% of spam,  29014 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1091 0 0 2015 0
Adapt (over, cross, repeat): 327 20 1251
Performance: 20.766 iterations/s, iteration no. 3800

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138786  38.678%  (98.201% of non-spam corpus)
# Correctly spam:     203247  56.643%  (93.450% of spam corpus)
# False positives:      2542  0.708%  (1.799% of nonspam, 307346 weighted)
# False negatives:     14246  3.970%  (6.550% of spam,  29014 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1108 0 0 1876 0
Adapt (over, cross, repeat): 311 13 1079
Performance: 22.909 iterations/s, iteration no. 3850

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138786  38.678%  (98.201% of non-spam corpus)
# Correctly spam:     203247  56.643%  (93.450% of spam corpus)
# False positives:      2542  0.708%  (1.799% of nonspam, 307346 weighted)
# False negatives:     14246  3.970%  (6.550% of spam,  29014 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1053 0 0 1809 0
Adapt (over, cross, repeat): 303 7 1059
Performance: 25.856 iterations/s, iteration no. 3900

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138786  38.678%  (98.201% of non-spam corpus)
# Correctly spam:     203247  56.643%  (93.450% of spam corpus)
# False positives:      2542  0.708%  (1.799% of nonspam, 307346 weighted)
# False negatives:     14246  3.970%  (6.550% of spam,  29014 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

Iter #     Field      Value
3900       Best       1.539645e+05
           Average    1.539821e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1070 0 0 2112 0
Adapt (over, cross, repeat): 315 17 1357
Performance: 17.086 iterations/s, iteration no. 3950

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138786  38.678%  (98.201% of non-spam corpus)
# Correctly spam:     203247  56.643%  (93.450% of spam corpus)
# False positives:      2542  0.708%  (1.799% of nonspam, 307346 weighted)
# False negatives:     14246  3.970%  (6.550% of spam,  29014 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1108 0 0 1550 0
Adapt (over, cross, repeat): 334 20 776
Performance: 19.555 iterations/s, iteration no. 4000

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138786  38.678%  (98.201% of non-spam corpus)
# Correctly spam:     203247  56.643%  (93.450% of spam corpus)
# False positives:      2542  0.708%  (1.799% of nonspam, 307346 weighted)
# False negatives:     14246  3.970%  (6.550% of spam,  29014 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1095 0 0 1741 0
Adapt (over, cross, repeat): 318 23 964
Performance: 21.909 iterations/s, iteration no. 4050

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138786  38.678%  (98.201% of non-spam corpus)
# Correctly spam:     203247  56.643%  (93.450% of spam corpus)
# False positives:      2542  0.708%  (1.799% of nonspam, 307346 weighted)
# False negatives:     14246  3.970%  (6.550% of spam,  29014 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1077 0 0 1725 0
Adapt (over, cross, repeat): 307 23 955
Performance: 25.258 iterations/s, iteration no. 4100

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138786  38.678%  (98.201% of non-spam corpus)
# Correctly spam:     203247  56.643%  (93.450% of spam corpus)
# False positives:      2542  0.708%  (1.799% of nonspam, 307346 weighted)
# False negatives:     14246  3.970%  (6.550% of spam,  29014 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1113 0 0 1698 0
Adapt (over, cross, repeat): 322 40 907
Performance: 18.696 iterations/s, iteration no. 4150

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138786  38.678%  (98.201% of non-spam corpus)
# Correctly spam:     203247  56.643%  (93.450% of spam corpus)
# False positives:      2542  0.708%  (1.799% of nonspam, 307346 weighted)
# False negatives:     14246  3.970%  (6.550% of spam,  29014 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1107 0 0 1450 0
Adapt (over, cross, repeat): 304 19 647
Performance: 23.250 iterations/s, iteration no. 4200

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138786  38.678%  (98.201% of non-spam corpus)
# Correctly spam:     203247  56.643%  (93.450% of spam corpus)
# False positives:      2542  0.708%  (1.799% of nonspam, 307346 weighted)
# False negatives:     14246  3.970%  (6.550% of spam,  29014 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

Iter #     Field      Value
4200       Best       1.539644e+05
           Average    1.539715e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1039 0 0 2163 0
Adapt (over, cross, repeat): 304 23 1428
Performance: 23.024 iterations/s, iteration no. 4250

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138786  38.678%  (98.201% of non-spam corpus)
# Correctly spam:     203247  56.643%  (93.450% of spam corpus)
# False positives:      2542  0.708%  (1.799% of nonspam, 307346 weighted)
# False negatives:     14246  3.970%  (6.550% of spam,  29014 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1079 0 0 1525 0
Adapt (over, cross, repeat): 326 26 772
Performance: 27.034 iterations/s, iteration no. 4300

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138786  38.678%  (98.201% of non-spam corpus)
# Correctly spam:     203247  56.643%  (93.450% of spam corpus)
# False positives:      2542  0.708%  (1.799% of nonspam, 307346 weighted)
# False negatives:     14246  3.970%  (6.550% of spam,  29014 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1133 0 0 1581 0
Adapt (over, cross, repeat): 311 15 759
Performance: 20.769 iterations/s, iteration no. 4350

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138786  38.678%  (98.201% of non-spam corpus)
# Correctly spam:     203247  56.643%  (93.450% of spam corpus)
# False positives:      2542  0.708%  (1.799% of nonspam, 307346 weighted)
# False negatives:     14246  3.970%  (6.550% of spam,  29014 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 996 0 0 1980 0
Adapt (over, cross, repeat): 266 19 1250
Performance: 21.934 iterations/s, iteration no. 4400

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138786  38.678%  (98.201% of non-spam corpus)
# Correctly spam:     203247  56.643%  (93.450% of spam corpus)
# False positives:      2542  0.708%  (1.799% of nonspam, 307346 weighted)
# False negatives:     14246  3.970%  (6.550% of spam,  29014 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1139 0 0 1462 0
Adapt (over, cross, repeat): 308 102 631
Performance: 27.903 iterations/s, iteration no. 4450

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138789  38.679%  (98.203% of non-spam corpus)
# Correctly spam:     203131  56.611%  (93.397% of spam corpus)
# False positives:      2539  0.708%  (1.797% of nonspam, 307113 weighted)
# False negatives:     14362  4.003%  (6.603% of spam,  29591 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.1
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1119 0 0 1440 0
Adapt (over, cross, repeat): 307 127 628
Performance: 21.315 iterations/s, iteration no. 4500

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138789  38.679%  (98.203% of non-spam corpus)
# Correctly spam:     203131  56.611%  (93.397% of spam corpus)
# False positives:      2539  0.708%  (1.797% of nonspam, 307113 weighted)
# False negatives:     14362  4.003%  (6.603% of spam,  29591 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.1
# TOTAL:              358821  100.00%

Iter #     Field      Value
4500       Best       1.539644e+05
           Average    1.539689e+05
123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1082 0 0 1248 0
Adapt (over, cross, repeat): 286 78 452
Performance: 29.262 iterations/s, iteration no. 4550

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138786  38.678%  (98.201% of non-spam corpus)
# Correctly spam:     203247  56.643%  (93.450% of spam corpus)
# False positives:      2542  0.708%  (1.799% of nonspam, 307346 weighted)
# False negatives:     14246  3.970%  (6.550% of spam,  29014 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1100 0 0 1261 0
Adapt (over, cross, repeat): 290 21 451
Performance: 24.650 iterations/s, iteration no. 4600

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138786  38.678%  (98.201% of non-spam corpus)
# Correctly spam:     203247  56.643%  (93.450% of spam corpus)
# False positives:      2542  0.708%  (1.799% of nonspam, 307346 weighted)
# False negatives:     14246  3.970%  (6.550% of spam,  29014 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1042 0 0 1932 0
Adapt (over, cross, repeat): 280 25 1170
Performance: 27.484 iterations/s, iteration no. 4650

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138786  38.678%  (98.201% of non-spam corpus)
# Correctly spam:     203247  56.643%  (93.450% of spam corpus)
# False positives:      2542  0.708%  (1.799% of nonspam, 307346 weighted)
# False negatives:     14246  3.970%  (6.550% of spam,  29014 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

123456789
Pop size, replacement: 50 33

Adapt (t, fneg, fneg_add, fpos, fpos_add): 1134 0 0 1867 0
Adapt (over, cross, repeat): 306 27 1039
Performance: 19.186 iterations/s, iteration no. 4700

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138786  38.678%  (98.201% of non-spam corpus)
# Correctly spam:     203247  56.643%  (93.450% of spam corpus)
# False positives:      2542  0.708%  (1.799% of nonspam, 307346 weighted)
# False negatives:     14246  3.970%  (6.550% of spam,  29014 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

1The Best Evaluation: 1.539644e+05.
The Best String:

# SUMMARY for threshold 5.0:
# Correctly non-spam: 138786  38.678%  (98.201% of non-spam corpus)
# Correctly spam:     203247  56.643%  (93.450% of spam corpus)
# False positives:      2542  0.708%  (1.799% of nonspam, 307346 weighted)
# False negatives:     14246  3.970%  (6.550% of spam,  29014 weighted)
# Average score for spam:  13.0    nonspam: 0.1
# Average for false-pos:   7.9  false-neg: 2.0
# TOTAL:              358821  100.00%

score AC_BR_BONANZA                  0.001
score AC_DIV_BONANZA                 0.119
score ADVANCE_FEE_2_NEW_MONEY        0.001
score ADVANCE_FEE_3_NEW_FRM_MNY      0.000
score ADVANCE_FEE_3_NEW_MONEY        2.355
score ADVANCE_FEE_4_NEW              2.399
score ADVANCE_FEE_5_NEW_FRM_MNY      0.001
score AXB_XMAILER_MIMEOLE_OL_024C2   0.001
score BODY_URI_ONLY                  0.000
score CK_HELO_DYNAMIC_SPLIT_IP       0.001
score CK_HELO_GENERIC                0.104
score DATE_IN_FUTURE_96_Q            2.602
score FBI_MONEY                      0.220
score FBI_SPOOF                      2.036
score FILL_THIS_FORM                 0.000
score FORM_FRAUD                     0.001
score FORM_FRAUD_5                   0.001
score FOUND_YOU                      0.001
score FREEMAIL_FORGED_FROMDOMAIN     0.198
score FROM_IN_TO_AND_SUBJ            0.693
score FROM_MISSPACED                 0.000
score FROM_MISSP_FREEMAIL            0.001
score FROM_MISSP_MSFT                0.001
score FROM_MISSP_REPLYTO             0.001
score FROM_MISSP_USER                0.001
score FROM_MISSP_XPRIO               0.001
score FROM_WORDY                     0.001
score FSL_CTYPE_WIN1251              0.000
score FSL_HELO_BARE_IP_2             0.001
score FSL_NEW_HELO_USER              0.001
score HDRS_LCASE                     3.999
score HEADER_FROM_DIFFERENT_DOMAINS  0.001
score HELO_MISC_IP                   0.001
score HK_RANDOM_FROM                 0.001
score HK_SCAM_N15                    1.336
score LIST_PRTL_SAME_USER            0.001
score LONG_HEX_URI                   0.473
score LONG_IMG_URI                   0.099
score LOTS_OF_MONEY                  0.001
score LOTTO_AGENT                    0.870
score LOTTO_DEPT                     0.001
score MANY_SPAN_IN_TEXT              2.800
score MIMEOLE_DIRECT_TO_MX           1.182
score MONEY_FRAUD_3                  0.001
score MONEY_FRAUD_5                  0.000
score MONEY_FRAUD_8                  0.001
score MSGID_NOFQDN1                  3.199
score MSM_PRIO_REPTO                 0.001
score NSL_RCVD_FROM_USER             0.001
score NSL_RCVD_HELO_USER             0.000
score PP_MIME_FAKE_ASCII_TEXT        0.001
score RCVD_IN_MSPIKE_H2              -3.599
score RCVD_IN_MSPIKE_L3              0.001
score RCVD_IN_MSPIKE_L5              2.499
score RCVD_IN_SORBS_WEB              0.001
score RISK_FREE                      0.001
score RP_MATCHES_RCVD                -0.001
score SERGIO_SUBJECT_VIAGRA01        0.001
score SPOOFED_FREEM_REPTO            1.644
score STATIC_XPRIO_OLE               0.001
score THIS_AD                        1.799
score TO_IN_SUBJ                     1.799
score TO_NO_BRKTS_FROM_MSSP          0.000
score TO_NO_BRKTS_HTML_IMG           0.001
score TO_NO_BRKTS_HTML_ONLY          0.000
score TO_NO_BRKTS_MSFT               0.001
score TO_NO_BRKTS_NORDNS_HTML        0.341
score TO_NO_BRKTS_PCNT               3.300
score TVD_SPACE_ENCODED              0.001
score TVD_SPACE_RATIO_MINFP          0.073
score URI_GOOGLE_PROXY               1.379
score URI_ONLY_MSGID_MALF            0.857
score URI_PHISH                      2.600
score URI_TRY_3LD                    0.001
score URI_TRY_USME                   0.001
score URI_WPADMIN                    0.630
score URI_WP_HACKED                  4.370
score URI_WP_HACKED_2                0.827
score XPRIO                          2.402
score ACT_NOW_CAPS                   2.399
score ALL_TRUSTED                    -1.000
score ANY_BOUNCE_MESSAGE             0.100
score APOSTROPHE_FROM                0.786
score BAD_CREDIT                     1.658
score BAD_ENC_HEADER                 0.001
score BANG_GUAR                      1.000
score BANKING_LAWS                   2.004
score BASE64_LENGTH_78_79            2.636
score BASE64_LENGTH_79_INF           2.019
score BILLION_DOLLARS                1.451
score BODY_8BITS                     1.500
score BODY_ENHANCEMENT               1.611
score BODY_ENHANCEMENT2              1.507
score BOUNCE_MESSAGE                 0.100
score BUG6152_INVALID_DATE_TZ_ABSURD 1.448
score CHALLENGE_RESPONSE             0.100
score CHARSET_FARAWAY                3.200
score CHARSET_FARAWAY_HEADER         3.200
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 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             0.141
score DC_IMAGE_SPAM_TEXT             0.123
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 DKIMDOMAIN_IN_DWL              -3.500
score DKIMDOMAIN_IN_DWL_UNKNOWN      -0.010
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_SIGNED                    0.100
score DKIM_VALID                     -0.100
score DKIM_VALID_AU                  -0.100
score DOS_OE_TO_MX                   3.086
score DOS_OE_TO_MX_IMAGE             1.886
score DOS_OUTLOOK_TO_MX              1.449
score DOS_RCVD_IP_TWICE_C            2.060
score DOS_STOCK_BAT                  0.001
score DRUGS_ANXIETY                  0.685
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 DRUGS_STOCK_MIMEOLE            1.681
score DRUG_ED_CAPS                   1.023
score DRUG_ED_ONLINE                 1.152
score DRUG_ED_SILD                   0.170
score DYN_RDNS_AND_INLINE_IMAGE      1.344
score DYN_RDNS_SHORT_HELO_HTML       0.001
score DYN_RDNS_SHORT_HELO_IMAGE      2.516
score EMPTY_MESSAGE                  2.344
score EM_ROLEX                       1.309
score ENGLISH_UCE_SUBJECT            1.542
score ENV_AND_HDR_SPF_MATCH          -0.500
score EXCUSE_4                       1.687
score EXCUSE_REMOVE                  2.992
score FAKE_REPLY_C                   0.001
score FILL_THIS_FORM_LOAN            2.237
score FIN_FREE                       2.289
score FORGED_HOTMAIL_RCVD2           1.187
score FORGED_MSGID_EXCITE            1.899
score FORGED_MSGID_YAHOO             2.244
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 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 FREE_QUOTE_INSTANT             2.699
score FROM_BLANK_NAME                2.099
score FROM_DOMAIN_NOVOWEL            0.500
score FROM_EXCESS_BASE64             0.105
score FROM_ILLEGAL_CHARS             2.059
score FROM_LOCAL_DIGITS              0.001
score FROM_LOCAL_HEX                 0.331
score FROM_LOCAL_NOVOWEL             0.500
score FROM_NO_USER                   2.599
score FROM_STARTS_WITH_NUMS          0.553
score FSL_FAKE_HOTMAIL_RVCD          1.816
score FSL_HELO_BARE_IP_1             1.426
score FSL_HELO_DEVICE                0.001
score FSL_HELO_NON_FQDN_1            0.001
score FSL_INTERIA_ABUSE              2.664
score FUZZY_AMBIEN                   1.851
score FUZZY_CPILL                    0.001
score FUZZY_CREDIT                   1.413
score FUZZY_ERECT                    1.306
score FUZZY_MILLION                  2.599
score FUZZY_PHARMACY                 3.299
score FUZZY_PHENT                    1.647
score FUZZY_PRICES                   0.720
score FUZZY_ROLEX                    1.038
score FUZZY_VPILL                    0.494
score FUZZY_XPILL                    1.752
score GAPPY_SUBJECT                  1.312
score GTUBE                          1000.000
score GUARANTEED_100_PERCENT         2.699
score HASHCASH_20                    -0.500
score HASHCASH_21                    -0.700
score HASHCASH_22                    -1.000
score HASHCASH_23                    -2.000
score HASHCASH_24                    -3.000
score HASHCASH_25                    -4.000
score HASHCASH_2SPEND                0.100
score HASHCASH_HIGH                  -5.000
score HEADER_HOST_IN_BLACKLIST       100.000
score HEADER_HOST_IN_WHITELIST       -100.000
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 HIDE_WIN_STATUS                1.353
score HK_NAME_DRUGS                  0.001
score HK_RANDOM_ENVFROM              0.626
score HTML_CHARSET_FARAWAY           0.500
score HTML_COMMENT_SAVED_URL         0.357
score HTML_EMBEDS                    0.001
score HTML_EXTRA_CLOSE               0.001
score HTML_FONT_FACE_BAD             0.289
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            0.805
score HTML_IMAGE_RATIO_04            0.610
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_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_TAG_BALANCE_BODY          0.712
score HTML_TITLE_SUBJ_DIFF           2.171
score HTTP_ESCAPED_HOST              1.621
score HTTP_EXCESSIVE_ESCAPES         1.516
score IMPOTENCE                      2.144
score INVALID_DATE                   0.432
score INVALID_DATE_TZ_ABSURD         0.632
score INVALID_MSGID                  1.167
score INVESTMENT_ADVICE              2.160
score IP_LINK_PLUS                   0.001
score JOIN_MILLIONS                  0.128
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 LIVEFILESTORE                  2.570
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              3.300
score LOW_PRICE                      0.600
score L_SPAM_TOOL_13                 0.485
score MALE_ENHANCE                   3.099
score MARKETING_PARTNERS             0.235
score MICROSOFT_EXECUTABLE           0.100
score MIME_BASE64_BLANKS             0.001
score MIME_BASE64_TEXT               0.001
score MIME_BOUND_DD_DIGITS           0.349
score MIME_BOUND_DIGITS_15           1.225
score MIME_CHARSET_FARAWAY           2.450
score MIME_HEADER_CTYPE_ONLY         1.996
score MIME_HTML_MOSTLY               0.001
score MIME_HTML_ONLY                 1.105
score MIME_HTML_ONLY_MULTI           0.001
score MIME_PHP_NO_TEXT               2.799
score MIME_QP_LONG_LINE              0.001
score MIME_SUSPECT_NAME              0.100
score MISSING_DATE                   1.396
score MISSING_HEADERS                1.207
score MISSING_MID                    0.140
score MISSING_MIMEOLE                1.843
score MISSING_MIME_HB_SEP            0.001
score MISSING_SUBJECT                1.767
score MONEY_BACK                     2.486
score MORE_SEX                       2.765
score MPART_ALT_DIFF                 0.724
score MPART_ALT_DIFF_COUNT           1.483
score MSGID_FROM_MTA_HEADER          0.001
score MSGID_OUTLOOK_INVALID          3.899
score MSGID_RANDY                    2.599
score MSGID_SHORT                    0.337
score MSGID_SPAM_CAPS                1.997
score MSGID_YAHOO_CAPS               1.413
score MSOE_MID_WRONG_CASE            3.373
score NML_ADSP_CUSTOM_HIGH           2.600
score NML_ADSP_CUSTOM_LOW            0.700
score NML_ADSP_CUSTOM_MED            1.200
score NORMAL_HTTP_TO_IP              0.001
score NO_DNS_FOR_FROM                0.379
score NO_HEADERS_MESSAGE             0.001
score NO_MEDICAL                     1.254
score NO_PRESCRIPTION                1.102
score NO_RDNS_DOTCOM_HELO            0.433
score NO_RECEIVED                    -0.001
score NO_RELAYS                      -0.001
score NULL_IN_BODY                   0.498
score NUMERIC_HTTP_ADDR              0.001
score ONE_TIME                       1.175
score ONLINE_PHARMACY                2.371
score PART_CID_STOCK                 0.001
score PART_CID_STOCK_LESS            0.036
score PERCENT_RANDOM                 2.837
score PLING_QUERY                    0.279
score PRICES_ARE_AFFORDABLE          0.851
score PYZOR_CHECK                    1.985
score RATWARE_EFROM                  2.999
score RATWARE_EGROUPS                1.258
score RATWARE_MPOP_WEBMAIL           1.338
score RATWARE_MS_HASH                3.692
score RATWARE_NAME_ID                0.309
score RATWARE_OUTLOOK_NONAME         0.033
score RATWARE_ZERO_TZ                2.535
score RAZOR2_CF_RANGE_51_100         0.365
score RAZOR2_CF_RANGE_E4_51_100      0.467
score RAZOR2_CF_RANGE_E8_51_100      2.430
score RAZOR2_CHECK                   1.729
score RCVD_DOUBLE_IP_LOOSE           0.960
score RCVD_DOUBLE_IP_SPAM            2.777
score RCVD_FAKE_HELO_DOTCOM          2.389
score RCVD_HELO_IP_MISMATCH          1.186
score RCVD_ILLEGAL_IP                1.300
score RCVD_IN_BL_SPAMCOP_NET         1.246
score RCVD_IN_BRBL_LASTEXT           1.644
score RCVD_IN_DNSWL_BLOCKED          0.001
score RCVD_IN_DNSWL_HI               -5.000
score RCVD_IN_DNSWL_LOW              -0.700
score RCVD_IN_DNSWL_MED              -2.300
score RCVD_IN_DNSWL_NONE             -0.000
score RCVD_IN_IADB_DK                -0.223
score RCVD_IN_IADB_DOPTIN            -4.000
score RCVD_IN_IADB_DOPTIN_LT50       -0.001
score RCVD_IN_IADB_LISTED            -0.380
score RCVD_IN_IADB_MI_CPR_MAT        -0.332
score RCVD_IN_IADB_ML_DOPTIN         -6.000
score RCVD_IN_IADB_OPTIN             -2.057
score RCVD_IN_IADB_OPTIN_GT50        -1.208
score RCVD_IN_IADB_RDNS              -0.167
score RCVD_IN_IADB_SENDERID          -0.001
score RCVD_IN_IADB_SPF               -0.001
score RCVD_IN_IADB_UT_CPR_MAT        -0.095
score RCVD_IN_IADB_VOUCHED           -2.200
score RCVD_IN_MSPIKE_BL              0.010
score RCVD_IN_MSPIKE_H3              -0.010
score RCVD_IN_MSPIKE_H4              -0.010
score RCVD_IN_MSPIKE_H5              -1.000
score RCVD_IN_MSPIKE_WL              -0.010
score RCVD_IN_PBL                    3.558
score RCVD_IN_PSBL                   2.700
score RCVD_IN_RP_CERTIFIED           -3.000
score RCVD_IN_RP_RNBL                1.284
score RCVD_IN_RP_SAFE                -2.000
score RCVD_IN_SBL                    2.596
score RCVD_IN_SBL_CSS                3.558
score RCVD_IN_SORBS_DUL              0.001
score RCVD_IN_SORBS_HTTP             2.499
score RCVD_IN_SORBS_SOCKS            2.443
score RCVD_IN_SORBS_SPAM             0.500
score RCVD_IN_XBL                    0.724
score RCVD_NUMERIC_HELO              0.865
score RDNS_DYNAMIC                   0.363
score RDNS_LOCALHOST                 0.969
score RDNS_NONE                      1.274
score REMOVE_BEFORE_LINK             1.587
score REPLICA_WATCH                  3.164
score REPLYTO_WITHOUT_TO_CC          1.946
score REPTO_QUOTE_YAHOO              0.490
score SB_GIF_AND_NO_URIS             2.199
score SHORT_HELO_AND_INLINE_IMAGE    0.160
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_PASS                  -0.001
score SPF_HELO_SOFTFAIL              0.896
score SPF_NEUTRAL                    0.652
score SPF_PASS                       -0.001
score SPF_SOFTFAIL                   0.972
score SPOOF_COM2COM                  1.632
score SPOOF_COM2OTH                  2.999
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 STOX_REPLY_TYPE                0.212
score STOX_REPLY_TYPE_WITHOUT_QUOTES 1.860
score SUBJECT_DIET                   1.563
score SUBJECT_DRUG_GAP_C             0.989
score SUBJECT_DRUG_GAP_L             2.304
score SUBJECT_FUZZY_CHEAP            1.831
score SUBJECT_IN_BLACKLIST           100.000
score SUBJECT_IN_WHITELIST           -100.000
score SUBJECT_NEEDS_ENCODING         0.100
score SUBJ_ALL_CAPS                  1.625
score SUBJ_AS_SEEN                   3.099
score SUBJ_BUY                       1.498
score SUBJ_DOLLARS                   0.001
score SUBJ_ILLEGAL_CHARS             1.105
score SUBJ_YOUR_FAMILY               2.999
score SUSPICIOUS_RECIPS              2.497
score TBIRD_SUSP_MIME_BDRY           2.400
score THEBAT_UNREG                   1.843
score TO_MALFORMED                   1.247
score TRACKER_ID                     1.102
score TT_MSGID_TRUNC                 0.023
score TVD_APPROVED                   2.599
score TVD_FINGER_02                  1.544
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                     2.026
score TVD_PH_SEC                     1.498
score TVD_QUAL_MEDS                  2.397
score TVD_RCVD_IP                    0.001
score TVD_RCVD_IP4                   0.001
score TVD_RCVD_SINGLE                1.213
score TVD_RCVD_SPACE_BRACKET         0.001
score TVD_SPACE_RATIO                0.001
score TVD_SUBJ_ACC_NUM               2.199
score TVD_SUBJ_WIPE_DEBT             2.291
score TVD_VISIT_PHARMA               1.196
score UNCLAIMED_MONEY                2.699
score UNCLOSED_BRACKET               1.329
score UNPARSEABLE_RELAY              0.001
score UNRESOLVED_TEMPLATE            0.716
score UNWANTED_LANGUAGE_BODY         2.800
score UPPERCASE_50_75                0.791
score UPPERCASE_75_100               1.189
score URG_BIZ                        0.941
score URIBL_ABUSE_SURBL              1.948
score URIBL_BLACK                    1.700
score URIBL_BLOCKED                  0.001
score URIBL_CR_SURBL                 1.263
score URIBL_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_BOTNETCC             2.500
score URIBL_DBL_ERROR                0.001
score URIBL_DBL_MALWARE              2.500
score URIBL_DBL_PHISH                2.500
score URIBL_DBL_SPAM                 2.500
score URIBL_GREY                     1.084
score URIBL_MW_SURBL                 1.263
score URIBL_PH_SURBL                 0.001
score URIBL_RED                      0.001
score URIBL_RHS_DOB                  0.276
score URIBL_SBL                      0.644
score URIBL_SBL_A                    0.100
score URIBL_WS_SURBL                 1.659
score URI_HEX                        1.313
score URI_HOST_IN_BLACKLIST          100.000
score URI_HOST_IN_WHITELIST          -100.000
score URI_NOVOWEL                    0.500
score URI_NO_WWW_BIZ_CGI             2.399
score URI_NO_WWW_INFO_CGI            2.299
score URI_TRUNCATED                  0.001
score USER_IN_ALL_SPAM_TO            -100.000
score USER_IN_BLACKLIST              100.000
score USER_IN_BLACKLIST_TO           10.000
score USER_IN_DEF_DKIM_WL            -7.500
score USER_IN_DEF_SPF_WL             -7.500
score USER_IN_DEF_WHITELIST          -15.000
score USER_IN_DKIM_WHITELIST         -100.000
score USER_IN_MORE_SPAM_TO           -20.000
score USER_IN_SPF_WHITELIST          -100.000
score USER_IN_WHITELIST              -100.000
score USER_IN_WHITELIST_TO           -6.000
score VBOUNCE_MESSAGE                0.100
score WEIRD_PORT                     0.001
score WEIRD_QUOTING                  0.001
score X_IP                           0.001
score X_MAILER_CME_6543_MSN          2.004


241.34user 0.05system 4:01.98elapsed 99%CPU (0avgtext+0avgdata 6276maxresident)k
208inputs+4512outputs (1major+1159minor)pagefaults 0swaps
+ date
Fri Jun  2 02:32:19 UTC 2017
+ mv garescorer.scores gen-set1-10-5.0-5500-ga/scores
+ echo [gen run end]
+ cp orig_scores.cf tmprules/50_scores.cf
[gen run end]
+ perl ./rewrite-cf-with-new-scores --scoreset 1 --old-scores tmprules/50_scores.cf --new-scores gen-set1-10-5.0-5500-ga/scores --cffile tmprules
fix meta dep: __GMD_PDF_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: __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: MIME_PHP_NO_TEXT depends on MIME_NO_TEXT with 0 score, fixing at non-0
fix meta dep: PUMPDUMP depends on PUMPDUMP_MULTI with 0 score, fixing at non-0
AC_BR_BONANZA does not have a default score
AC_DIV_BONANZA does not have a default score
AC_HTML_NONSENSE_TAGS does not have a default score
AC_SPAMMY_URI_PATTERNS1 does not have a default score
AC_SPAMMY_URI_PATTERNS10 does not have a default score
AC_SPAMMY_URI_PATTERNS11 does not have a default score
AC_SPAMMY_URI_PATTERNS12 does not have a default score
AC_SPAMMY_URI_PATTERNS2 does not have a default score
AC_SPAMMY_URI_PATTERNS3 does not have a default score
AC_SPAMMY_URI_PATTERNS4 does not have a default score
AC_SPAMMY_URI_PATTERNS8 does not have a default score
AC_SPAMMY_URI_PATTERNS9 does not have a default score
ADMAIL does not have a default score
ADVANCE_FEE_2_NEW_FORM does not have a default score
ADVANCE_FEE_2_NEW_MONEY does not have a default score
ADVANCE_FEE_3_NEW does not have a default score
ADVANCE_FEE_3_NEW_FORM does not have a default score
ADVANCE_FEE_3_NEW_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_5_NEW_FRM_MNY does not have a default score
AD_PREFS does not have a default score
ANY_PILL_PRICE does not have a default score
AXB_XMAILER_MIMEOLE_OL_024C2 does not have a default score
AXB_XMAILER_MIMEOLE_OL_1ECD5 does not have a default score
BODY_URI_ONLY does not have a default score
BOGUS_MSM_HDRS does not have a default score
CANT_SEE_AD does not have a default score
CK_HELO_DYNAMIC_SPLIT_IP does not have a default score
CK_HELO_GENERIC does not have a default score
CN_B2B_SPAMMER does not have a default score
COMMENT_GIBBERISH does not have a default score
DATE_IN_FUTURE_96_Q does not have a default score
DX_TEXT_02 does not have a default score
DX_TEXT_03 does not have a default score
ENCRYPTED_MESSAGE does not have a default score
EXCUSE_24 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
FORM_FRAUD does not have a default score
FORM_FRAUD_3 does not have a default score
FORM_FRAUD_5 does not have a default score
FORM_LOW_CONTRAST does not have a default score
FOUND_YOU does not have a default score
FREEMAIL_DOC_PDF_BCC does not have a default score
FREEMAIL_FORGED_FROMDOMAIN does not have a default score
FREEMAIL_MANY_TO does not have a default score
FROM_IN_TO_AND_SUBJ does not have a default score
FROM_MISSPACED does not have a default score
FROM_MISSP_DYNIP does not have a default score
FROM_MISSP_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_MISSP_XPRIO does not have a default score
FROM_OFFERS does not have a default score
FROM_WORDY does not have a default score
FROM_WORDY_SHORT does not have a default score
FSL_CTYPE_WIN1251 does not have a default score
FSL_HELO_BARE_IP_2 does not have a default score
FSL_NEW_HELO_USER does not have a default score
FUZZY_ANDROID does not have a default score
FUZZY_BROWSER does not have a default score
FUZZY_CLICK_HERE does not have a default score
FUZZY_DR_OZ does not have a default score
FUZZY_IMPORTANT does not have a default score
FUZZY_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
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
GOOG_MALWARE_DNLD does not have a default score
GOOG_REDIR_SHORT does not have a default score
HDRS_LCASE 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
HEXHASH_WORD does not have a default score
HK_LOTTO 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_SCAM_N15 does not have a default score
HTML_OFF_PAGE does not have a default score
LIST_PRTL_PUMPDUMP does not have a default score
LIST_PRTL_SAME_USER does not have a default score
LONG_HEX_URI does not have a default score
LONG_IMG_URI does not have a default score
LOTS_OF_MONEY does not have a default score
LOTTO_AGENT does not have a default score
LOTTO_DEPT does not have a default score
LUCRATIVE does not have a default score
MANY_SPAN_IN_TEXT 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
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
MSGID_MULTIPLE_AT does not have a default score
MSGID_NOFQDN1 does not have a default score
MSM_PRIO_REPTO 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
OBFU_JVSCR_ESC does not have a default score
OBFU_TEXT_ATTACH does not have a default score
ONLINE_MKTG_CNSLT does not have a default score
PHP_NOVER_MUA does not have a default score
PHP_ORIG_SCRIPT does not have a default score
PHP_SCRIPT_MUA does not have a default score
PP_MIME_FAKE_ASCII_TEXT does not have a default score
PP_TOO_MUCH_UNICODE02 does not have a default score
PP_TOO_MUCH_UNICODE05 does not have a default score
PUMPDUMP does not have a default score
PUMPDUMP_MULTI does not have a default score
PUMPDUMP_TIP does not have a default score
RAND_HEADER_MANY does not have a default score
RCVD_DBL_DQ does not have a default score
RCVD_IN_MSPIKE_H2 does not have a default score
RCVD_IN_MSPIKE_L2 does not have a default score
RCVD_IN_SORBS_WEB does not have a default score
RISK_FREE does not have a default score
RP_MATCHES_RCVD does not have a default score
SERGIO_SUBJECT_VIAGRA01 does not have a default score
SINGLETS_LOW_CONTRAST 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
STATIC_XPRIO_OLE does not have a default score
STOCK_LOW_CONTRAST does not have a default score
STOCK_TIP does not have a default score
STYLE_GIBBERISH does not have a default score
SUBJ_BROKEN_WORD does not have a default score
SURBL_BLOCKED does not have a default score
SYSADMIN 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
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_NO_BRKTS_FROM_MSSP does not have a default score
TO_NO_BRKTS_HTML_IMG does not have a default score
TO_NO_BRKTS_HTML_ONLY does not have a default score
TO_NO_BRKTS_MSFT does not have a default score
TO_NO_BRKTS_NORDNS_HTML does not have a default score
TO_NO_BRKTS_PCNT does not have a default score
TVD_ENHANCE does not have a default score
TVD_SPACE_ENCODED does not have a default score
TVD_SPACE_RATIO_MINFP does not have a default score
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
URI_DATA does not have a default score
URI_DQ_UNSUB does not have a default score
URI_GOOGLE_PROXY does not have a default score
URI_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_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
XM_PHPMAILER_FORGED does not have a default score
XPRIO does not have a default score
XPRIO_SHORT_SUBJ does not have a default score
+ 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_19812.pl -d "tmprules" -s 1]
Fri Jun  2 02:32:23 UTC 2017
[ generating fp-fn-statistics ]
[../build/parse-rules-for-masses -o tmp/rules_20651.pl -d "../rules-base" -s 1]
[../build/parse-rules-for-masses -o tmp/rules_20658.pl -d "../rules-base" -s 1]
Fri Jun  2 02:32:41 UTC 2017
[ extracting new scores ]
Removing scores for base release rules from newly generated scores
# Using score set 1 logs for revision 1779702 from:
# ham-net-axb-coi-bulk.log ham-net-axb-generic.log ham-net-axb-ham-misc.log ham-net-axb-ninja.log ham-net-bb-guenther_fraud.log ham-net-darxus.log ham-net-dwarren.log ham-net-ena.log ham-net-grenier.log ham-net-jarif.log ham-net-kgolding.log ham-net-thendrikx.log ham-net-zmi.log spam-net-axb-coi-bulk.log spam-net-axb-generic.log spam-net-axb-ham-misc.log spam-net-axb-ninja.log spam-net-bb-guenther_fraud.log spam-net-darxus.log spam-net-dwarren.log spam-net-ena.log spam-net-grenier.log spam-net-jarif.log spam-net-kgolding.log spam-net-thendrikx.log spam-net-zmi.log

score AC_BR_BONANZA                  0.001
score AC_DIV_BONANZA                 0.119
score ADVANCE_FEE_2_NEW_MONEY        0.001
score ADVANCE_FEE_3_NEW_FRM_MNY      0.000
score ADVANCE_FEE_3_NEW_MONEY        2.355
score ADVANCE_FEE_4_NEW              2.399
score ADVANCE_FEE_5_NEW_FRM_MNY      0.001
score AXB_XMAILER_MIMEOLE_OL_024C2   0.001
score BODY_URI_ONLY                  0.000
score CK_HELO_DYNAMIC_SPLIT_IP       0.001
score CK_HELO_GENERIC                0.104
score DATE_IN_FUTURE_96_Q            2.602
score FBI_MONEY                      0.220
score FBI_SPOOF                      2.036
score FILL_THIS_FORM                 0.000
score FORM_FRAUD                     0.001
score FORM_FRAUD_5                   0.001
score FOUND_YOU                      0.001
score FREEMAIL_FORGED_FROMDOMAIN     0.198
score FROM_IN_TO_AND_SUBJ            0.693
score FROM_MISSPACED                 0.000
score FROM_MISSP_FREEMAIL            0.001
score FROM_MISSP_MSFT                0.001
score FROM_MISSP_REPLYTO             0.001
score FROM_MISSP_USER                0.001
score FROM_MISSP_XPRIO               0.001
score FROM_WORDY                     0.001
score FSL_CTYPE_WIN1251              0.000
score FSL_HELO_BARE_IP_2             0.001
score FSL_NEW_HELO_USER              0.001
score HDRS_LCASE                     3.999
score HEADER_FROM_DIFFERENT_DOMAINS  0.001
score HELO_MISC_IP                   0.001
score HK_RANDOM_FROM                 0.001
score HK_SCAM_N15                    1.336
score LIST_PRTL_SAME_USER            0.001
score LONG_HEX_URI                   0.473
score LONG_IMG_URI                   0.099
score LOTS_OF_MONEY                  0.001
score LOTTO_AGENT                    0.870
score LOTTO_DEPT                     0.001
score MANY_SPAN_IN_TEXT              2.800
score MIMEOLE_DIRECT_TO_MX           1.182
score MONEY_FRAUD_3                  0.001
score MONEY_FRAUD_5                  0.000
score MONEY_FRAUD_8                  0.001
score MSGID_NOFQDN1                  3.199
score MSM_PRIO_REPTO                 0.001
score NSL_RCVD_FROM_USER             0.001
score NSL_RCVD_HELO_USER             0.000
score PP_MIME_FAKE_ASCII_TEXT        0.001
score RCVD_IN_MSPIKE_H2              -3.599
score RCVD_IN_MSPIKE_L3              0.001
score RCVD_IN_MSPIKE_L5              2.499
score RCVD_IN_SORBS_WEB              0.001
score RISK_FREE                      0.001
score RP_MATCHES_RCVD                -0.001
score SERGIO_SUBJECT_VIAGRA01        0.001
score SPOOFED_FREEM_REPTO            1.644
score STATIC_XPRIO_OLE               0.001
score THIS_AD                        1.799
score TO_IN_SUBJ                     1.799
score TO_NO_BRKTS_FROM_MSSP          0.000
score TO_NO_BRKTS_HTML_IMG           0.001
score TO_NO_BRKTS_HTML_ONLY          0.000
score TO_NO_BRKTS_MSFT               0.001
score TO_NO_BRKTS_NORDNS_HTML        0.341
score TO_NO_BRKTS_PCNT               3.300
score TVD_SPACE_ENCODED              0.001
score TVD_SPACE_RATIO_MINFP          0.073
score URI_GOOGLE_PROXY               1.379
score URI_ONLY_MSGID_MALF            0.857
score URI_PHISH                      2.600
score URI_TRY_3LD                    0.001
score URI_TRY_USME                   0.001
score URI_WPADMIN                    0.630
score URI_WP_HACKED                  4.370
score URI_WP_HACKED_2                0.827
score XPRIO                          2.402
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
Fri Jun  2 02:32:41 UTC 2017
[ completed ]
/usr/local/spamassassin/automc/tmp/generate-new-scores
Fri Jun  2 02:32:41 UTC 2017
[ rsyncing logs ]
[ rsyncing logs locally ]
sending incremental file list

sent 2,773 bytes  received 12 bytes  5,570.00 bytes/sec
total size is 3,855,596,016  speedup is 1,384,415.09
Fri Jun  2 02:32:41 UTC 2017
[ selecting log files to use for scoreset 0 ]
Linked spam-darxus.log to corpus/usable-corpus-set0/spam-darxus.log
Linked ham-zmi.log to corpus/usable-corpus-set0/ham-zmi.log
Linked ham-bb-kmcgrail.log to corpus/usable-corpus-set0/ham-bb-kmcgrail.log
Linked ham-kgolding.log to corpus/usable-corpus-set0/ham-kgolding.log
Linked ham-bb-traps.log to corpus/usable-corpus-set0/ham-bb-traps.log
Linked ham-darxus.log to corpus/usable-corpus-set0/ham-darxus.log
Linked ham-grenier.log to corpus/usable-corpus-set0/ham-grenier.log
Linked spam-kam-sninja.log to corpus/usable-corpus-set0/spam-kam-sninja.log
Linked ham-bb-zmi.log to corpus/usable-corpus-set0/ham-bb-zmi.log
Linked ham-bpoliakoff.log to corpus/usable-corpus-set0/ham-bpoliakoff.log
Linked spam-mmiroslaw-ham.log to corpus/usable-corpus-set0/spam-mmiroslaw-ham.log
Linked ham-mmiroslaw-ham.log to corpus/usable-corpus-set0/ham-mmiroslaw-ham.log
Linked ham-kam-sninja.log to corpus/usable-corpus-set0/ham-kam-sninja.log
Linked ham-bernie-fsf.log to corpus/usable-corpus-set0/ham-bernie-fsf.log
Linked spam-kpg-core.log to corpus/usable-corpus-set0/spam-kpg-core.log
Linked ham-ena.log to corpus/usable-corpus-set0/ham-ena.log
Linked spam-axb-generic.log to corpus/usable-corpus-set0/spam-axb-generic.log
Linked ham-bernie-it_batt.log to corpus/usable-corpus-set0/ham-bernie-it_batt.log
Linked spam-bb-jhardin.log to corpus/usable-corpus-set0/spam-bb-jhardin.log
Linked spam-axb-ham-misc.log to corpus/usable-corpus-set0/spam-axb-ham-misc.log
Linked spam-bb-jm.log to corpus/usable-corpus-set0/spam-bb-jm.log
Linked spam-llanga.log to corpus/usable-corpus-set0/spam-llanga.log
Linked spam-grenier.log to corpus/usable-corpus-set0/spam-grenier.log
Linked spam-kam-sninja-kam-sninja.log to corpus/usable-corpus-set0/spam-kam-sninja-kam-sninja.log
Linked spam-bb-kmcgrail.log to corpus/usable-corpus-set0/spam-bb-kmcgrail.log
Linked ham-axb-ham-misc.log to corpus/usable-corpus-set0/ham-axb-ham-misc.log
Linked spam-dwarren.log to corpus/usable-corpus-set0/spam-dwarren.log
Linked spam-kgolding.log to corpus/usable-corpus-set0/spam-kgolding.log
Linked spam-bb-zmi.log to corpus/usable-corpus-set0/spam-bb-zmi.log
Linked spam-bernie-it_batt.log to corpus/usable-corpus-set0/spam-bernie-it_batt.log
Linked ham-axb-generic.log to corpus/usable-corpus-set0/ham-axb-generic.log
Linked ham-bb-jhardin.log to corpus/usable-corpus-set0/ham-bb-jhardin.log
Linked ham-mmiroslaw-spam.log to corpus/usable-corpus-set0/ham-mmiroslaw-spam.log
Linked ham-bb-jhardin_fraud.log to corpus/usable-corpus-set0/ham-bb-jhardin_fraud.log
Linked ham-bb-jm.log to corpus/usable-corpus-set0/ham-bb-jm.log
Linked spam-bernie-mix.log to corpus/usable-corpus-set0/spam-bernie-mix.log
Linked ham-axb-ninja.log to corpus/usable-corpus-set0/ham-axb-ninja.log
Linked ham-kam-sninja-kam-sninja.log to corpus/usable-corpus-set0/ham-kam-sninja-kam-sninja.log
Linked spam-jmcnally.log to corpus/usable-corpus-set0/spam-jmcnally.log
Linked spam-axb-ninja.log to corpus/usable-corpus-set0/spam-axb-ninja.log
Linked spam-bb-traps.log to corpus/usable-corpus-set0/spam-bb-traps.log
Linked spam-bpoliakoff.log to corpus/usable-corpus-set0/spam-bpoliakoff.log
Linked spam-jarif.log to corpus/usable-corpus-set0/spam-jarif.log
Linked ham-bb-guenther_fraud.log to corpus/usable-corpus-set0/ham-bb-guenther_fraud.log
Linked ham-thendrikx.log to corpus/usable-corpus-set0/ham-thendrikx.log
Linked ham-jarif.log to corpus/usable-corpus-set0/ham-jarif.log
Linked ham-axb-8mile.log to corpus/usable-corpus-set0/ham-axb-8mile.log
Linked ham-llanga.log to corpus/usable-corpus-set0/ham-llanga.log
Linked spam-axb-coi-bulk.log to corpus/usable-corpus-set0/spam-axb-coi-bulk.log
Linked spam-bb-jhardin_fraud.log to corpus/usable-corpus-set0/spam-bb-jhardin_fraud.log
Linked ham-dwarren.log to corpus/usable-corpus-set0/ham-dwarren.log
Linked ham-bernie-mix.log to corpus/usable-corpus-set0/ham-bernie-mix.log
Linked ham-jmcnally.log to corpus/usable-corpus-set0/ham-jmcnally.log
Linked spam-kam-ninja.log to corpus/usable-corpus-set0/spam-kam-ninja.log
Linked spam-axb-8mile.log to corpus/usable-corpus-set0/spam-axb-8mile.log
Linked spam-thendrikx.log to corpus/usable-corpus-set0/spam-thendrikx.log
Linked spam-bernie-fsf.log to corpus/usable-corpus-set0/spam-bernie-fsf.log
Linked spam-mmiroslaw-spam.log to corpus/usable-corpus-set0/spam-mmiroslaw-spam.log
Linked spam-zmi.log to corpus/usable-corpus-set0/spam-zmi.log
Linked ham-kam-ninja.log to corpus/usable-corpus-set0/ham-kam-ninja.log
Linked ham-kpg-core.log to corpus/usable-corpus-set0/ham-kpg-core.log
Linked ham-axb-coi-bulk.log to corpus/usable-corpus-set0/ham-axb-coi-bulk.log
Linked spam-bb-guenther_fraud.log to corpus/usable-corpus-set0/spam-bb-guenther_fraud.log
Linked spam-ena.log to corpus/usable-corpus-set0/spam-ena.log
Checking corpus/usable-corpus-set0/spam-darxus.log for SVN 1797164...
# SVN revision: 1797164
Checking corpus/usable-corpus-set0/ham-zmi.log for SVN 1797164...
corpus/usable-corpus-set0/ham-zmi.log does not meet the requirements
Checking corpus/usable-corpus-set0/ham-bb-kmcgrail.log for SVN 1797164...
corpus/usable-corpus-set0/ham-bb-kmcgrail.log does not meet the requirements
Checking corpus/usable-corpus-set0/ham-kgolding.log for SVN 1797164...
corpus/usable-corpus-set0/ham-kgolding.log does not meet the requirements
Checking corpus/usable-corpus-set0/ham-bb-traps.log for SVN 1797164...
corpus/usable-corpus-set0/ham-bb-traps.log does not meet the requirements
Checking corpus/usable-corpus-set0/ham-darxus.log for SVN 1797164...
# SVN revision: 1797164
Checking corpus/usable-corpus-set0/ham-grenier.log for SVN 1797164...
# SVN revision: 1797164
Checking corpus/usable-corpus-set0/spam-kam-sninja.log for SVN 1797164...
corpus/usable-corpus-set0/spam-kam-sninja.log does not meet the requirements
Checking corpus/usable-corpus-set0/ham-bb-zmi.log for SVN 1797164...
corpus/usable-corpus-set0/ham-bb-zmi.log does not meet the requirements
Checking corpus/usable-corpus-set0/ham-bpoliakoff.log for SVN 1797164...
corpus/usable-corpus-set0/ham-bpoliakoff.log does not meet the requirements
Checking corpus/usable-corpus-set0/spam-mmiroslaw-ham.log for SVN 1797164...
corpus/usable-corpus-set0/spam-mmiroslaw-ham.log does not meet the requirements
Checking corpus/usable-corpus-set0/ham-mmiroslaw-ham.log for SVN 1797164...
corpus/usable-corpus-set0/ham-mmiroslaw-ham.log does not meet the requirements
Checking corpus/usable-corpus-set0/ham-kam-sninja.log for SVN 1797164...
corpus/usable-corpus-set0/ham-kam-sninja.log does not meet the requirements
Checking corpus/usable-corpus-set0/ham-bernie-fsf.log for SVN 1797164...
corpus/usable-corpus-set0/ham-bernie-fsf.log does not meet the requirements
Checking corpus/usable-corpus-set0/spam-kpg-core.log for SVN 1797164...
corpus/usable-corpus-set0/spam-kpg-core.log does not meet the requirements
Checking corpus/usable-corpus-set0/ham-ena.log for SVN 1797164...
# SVN revision: 1797164
Checking corpus/usable-corpus-set0/spam-axb-generic.log for SVN 1797164...
# SVN revision: 1797164
Checking corpus/usable-corpus-set0/ham-bernie-it_batt.log for SVN 1797164...
corpus/usable-corpus-set0/ham-bernie-it_batt.log does not meet the requirements
Checking corpus/usable-corpus-set0/spam-bb-jhardin.log for SVN 1797164...
corpus/usable-corpus-set0/spam-bb-jhardin.log does not meet the requirements
Checking corpus/usable-corpus-set0/spam-axb-ham-misc.log for SVN 1797164...
# SVN revision: 1797164
Checking corpus/usable-corpus-set0/spam-bb-jm.log for SVN 1797164...
corpus/usable-corpus-set0/spam-bb-jm.log does not meet the requirements
Checking corpus/usable-corpus-set0/spam-llanga.log for SVN 1797164...
corpus/usable-corpus-set0/spam-llanga.log does not meet the requirements
Checking corpus/usable-corpus-set0/spam-grenier.log for SVN 1797164...
# SVN revision: 1797164
Checking corpus/usable-corpus-set0/spam-kam-sninja-kam-sninja.log for SVN 1797164...
corpus/usable-corpus-set0/spam-kam-sninja-kam-sninja.log does not meet the requirements
Checking corpus/usable-corpus-set0/spam-bb-kmcgrail.log for SVN 1797164...
corpus/usable-corpus-set0/spam-bb-kmcgrail.log does not meet the requirements
Checking corpus/usable-corpus-set0/ham-axb-ham-misc.log for SVN 1797164...
# SVN revision: 1797164
Checking corpus/usable-corpus-set0/spam-dwarren.log for SVN 1797164...
corpus/usable-corpus-set0/spam-dwarren.log does not meet the requirements
Checking corpus/usable-corpus-set0/spam-kgolding.log for SVN 1797164...
corpus/usable-corpus-set0/spam-kgolding.log does not meet the requirements
Checking corpus/usable-corpus-set0/spam-bb-zmi.log for SVN 1797164...
corpus/usable-corpus-set0/spam-bb-zmi.log does not meet the requirements
Checking corpus/usable-corpus-set0/spam-bernie-it_batt.log for SVN 1797164...
corpus/usable-corpus-set0/spam-bernie-it_batt.log does not meet the requirements
Checking corpus/usable-corpus-set0/ham-axb-generic.log for SVN 1797164...
# SVN revision: 1797164
Checking corpus/usable-corpus-set0/ham-bb-jhardin.log for SVN 1797164...
corpus/usable-corpus-set0/ham-bb-jhardin.log does not meet the requirements
Checking corpus/usable-corpus-set0/ham-mmiroslaw-spam.log for SVN 1797164...
corpus/usable-corpus-set0/ham-mmiroslaw-spam.log does not meet the requirements
Checking corpus/usable-corpus-set0/ham-bb-jhardin_fraud.log for SVN 1797164...
corpus/usable-corpus-set0/ham-bb-jhardin_fraud.log does not meet the requirements
Checking corpus/usable-corpus-set0/ham-bb-jm.log for SVN 1797164...
corpus/usable-corpus-set0/ham-bb-jm.log does not meet the requirements
Checking corpus/usable-corpus-set0/spam-bernie-mix.log for SVN 1797164...
corpus/usable-corpus-set0/spam-bernie-mix.log does not meet the requirements
Checking corpus/usable-corpus-set0/ham-axb-ninja.log for SVN 1797164...
# SVN revision: 1797164
Checking corpus/usable-corpus-set0/ham-kam-sninja-kam-sninja.log for SVN 1797164...
corpus/usable-corpus-set0/ham-kam-sninja-kam-sninja.log does not meet the requirements
Checking corpus/usable-corpus-set0/spam-jmcnally.log for SVN 1797164...
corpus/usable-corpus-set0/spam-jmcnally.log does not meet the requirements
Checking corpus/usable-corpus-set0/spam-axb-ninja.log for SVN 1797164...
# SVN revision: 1797164
Checking corpus/usable-corpus-set0/spam-bb-traps.log for SVN 1797164...
corpus/usable-corpus-set0/spam-bb-traps.log does not meet the requirements
Checking corpus/usable-corpus-set0/spam-bpoliakoff.log for SVN 1797164...
corpus/usable-corpus-set0/spam-bpoliakoff.log does not meet the requirements
Checking corpus/usable-corpus-set0/spam-jarif.log for SVN 1797164...
# SVN revision: 1797164
Checking corpus/usable-corpus-set0/ham-bb-guenther_fraud.log for SVN 1797164...
corpus/usable-corpus-set0/ham-bb-guenther_fraud.log does not meet the requirements
Checking corpus/usable-corpus-set0/ham-thendrikx.log for SVN 1797164...
# SVN revision: 1797164
Checking corpus/usable-corpus-set0/ham-jarif.log for SVN 1797164...
# SVN revision: 1797164
Checking corpus/usable-corpus-set0/ham-axb-8mile.log for SVN 1797164...
corpus/usable-corpus-set0/ham-axb-8mile.log does not meet the requirements
Checking corpus/usable-corpus-set0/ham-llanga.log for SVN 1797164...
corpus/usable-corpus-set0/ham-llanga.log does not meet the requirements
Checking corpus/usable-corpus-set0/spam-axb-coi-bulk.log for SVN 1797164...
# SVN revision: 1797164
Checking corpus/usable-corpus-set0/spam-bb-jhardin_fraud.log for SVN 1797164...
corpus/usable-corpus-set0/spam-bb-jhardin_fraud.log does not meet the requirements
Checking corpus/usable-corpus-set0/ham-dwarren.log for SVN 1797164...
corpus/usable-corpus-set0/ham-dwarren.log does not meet the requirements
Checking corpus/usable-corpus-set0/ham-bernie-mix.log for SVN 1797164...
corpus/usable-corpus-set0/ham-bernie-mix.log does not meet the requirements
Checking corpus/usable-corpus-set0/ham-jmcnally.log for SVN 1797164...
corpus/usable-corpus-set0/ham-jmcnally.log does not meet the requirements
Checking corpus/usable-corpus-set0/spam-kam-ninja.log for SVN 1797164...
corpus/usable-corpus-set0/spam-kam-ninja.log does not meet the requirements
Checking corpus/usable-corpus-set0/spam-axb-8mile.log for SVN 1797164...
corpus/usable-corpus-set0/spam-axb-8mile.log does not meet the requirements
Checking corpus/usable-corpus-set0/spam-thendrikx.log for SVN 1797164...
# SVN revision: 1797164
Checking corpus/usable-corpus-set0/spam-bernie-fsf.log for SVN 1797164...
corpus/usable-corpus-set0/spam-bernie-fsf.log does not meet the requirements
Checking corpus/usable-corpus-set0/spam-mmiroslaw-spam.log for SVN 1797164...
corpus/usable-corpus-set0/spam-mmiroslaw-spam.log does not meet the requirements
Checking corpus/usable-corpus-set0/spam-zmi.log for SVN 1797164...
corpus/usable-corpus-set0/spam-zmi.log does not meet the requirements
Checking corpus/usable-corpus-set0/ham-kam-ninja.log for SVN 1797164...
corpus/usable-corpus-set0/ham-kam-ninja.log does not meet the requirements
Checking corpus/usable-corpus-set0/ham-kpg-core.log for SVN 1797164...
corpus/usable-corpus-set0/ham-kpg-core.log does not meet the requirements
Checking corpus/usable-corpus-set0/ham-axb-coi-bulk.log for SVN 1797164...
# SVN revision: 1797164
Checking corpus/usable-corpus-set0/spam-bb-guenther_fraud.log for SVN 1797164...
corpus/usable-corpus-set0/spam-bb-guenther_fraud.log does not meet the requirements
Checking corpus/usable-corpus-set0/spam-ena.log for SVN 1797164...
# SVN revision: 1797164
 HAM CONTRIBUTORS FOUND: 9 (required 10)
SPAM CONTRIBUTORS FOUND: 9 (required 10)
Insufficient ham corpus contributors; aborting.
+ RV=6
+ '[' 6 -ne 0 ']'
+ echo 'Exit Status 6 is not zero for do-nightly-rescore-example'
Exit Status 6 is not zero for do-nightly-rescore-example

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