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FAIL AI-NaiveBayes1-1.5 i686-linux-thread-multi-64int-ld 2.6.16.38
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From:
chris
Date:
February 4, 2008 01:30
Subject:
FAIL AI-NaiveBayes1-1.5 i686-linux-thread-multi-64int-ld 2.6.16.38
This distribution has been tested as part of the cpan-testers
effort to test as many new uploads to CPAN as possible. See
http://testers.cpan.org/
Please cc any replies to cpan-testers@perl.org to keep other
test volunteers informed and to prevent any duplicate effort.
--
Dear VLADO,
This is a computer-generated error report created automatically by
CPANPLUS, version 0.84. Testers personal comments may appear
at the end of this report.
Thank you for uploading your work to CPAN. However, it appears that
there were some problems testing your distribution.
TEST RESULTS:
Below is the error stack from stage 'make test':
[MSG] [Mon Feb 4 09:29:15 2008] Trying to get 'http://www.cpan.org/authors/id/V/VL/VLADO/AI-NaiveBayes1-1.5.tar.gz'
[MSG] [Mon Feb 4 09:29:17 2008] Trying to get 'http://www.cpan.org/authors/id/V/VL/VLADO/CHECKSUMS'
[MSG] [Mon Feb 4 09:29:18 2008] Checksum matches for 'AI-NaiveBayes1-1.5.tar.gz'
[MSG] [Mon Feb 4 09:29:18 2008] Extracted 'AI-NaiveBayes1-1.5/'
[MSG] [Mon Feb 4 09:29:18 2008] Extracted 'AI-NaiveBayes1-1.5/META.yml'
[MSG] [Mon Feb 4 09:29:18 2008] Extracted 'AI-NaiveBayes1-1.5/MANIFEST'
[MSG] [Mon Feb 4 09:29:18 2008] Extracted 'AI-NaiveBayes1-1.5/README'
[MSG] [Mon Feb 4 09:29:18 2008] Extracted 'AI-NaiveBayes1-1.5/Makefile.PL'
[MSG] [Mon Feb 4 09:29:18 2008] Extracted 'AI-NaiveBayes1-1.5/t/'
[MSG] [Mon Feb 4 09:29:18 2008] Extracted 'AI-NaiveBayes1-1.5/t/8-1.out'
[MSG] [Mon Feb 4 09:29:18 2008] Extracted 'AI-NaiveBayes1-1.5/t/5.t'
[MSG] [Mon Feb 4 09:29:18 2008] Extracted 'AI-NaiveBayes1-1.5/t/4-3.out'
[MSG] [Mon Feb 4 09:29:18 2008] Extracted 'AI-NaiveBayes1-1.5/t/auxfunctions.pl'
[MSG] [Mon Feb 4 09:29:18 2008] Extracted 'AI-NaiveBayes1-1.5/t/6-3.out'
[MSG] [Mon Feb 4 09:29:18 2008] Extracted 'AI-NaiveBayes1-1.5/t/8.t'
[MSG] [Mon Feb 4 09:29:18 2008] Extracted 'AI-NaiveBayes1-1.5/t/2.t'
[MSG] [Mon Feb 4 09:29:18 2008] Extracted 'AI-NaiveBayes1-1.5/t/5-3.out'
[MSG] [Mon Feb 4 09:29:18 2008] Extracted 'AI-NaiveBayes1-1.5/t/6-2.out'
[MSG] [Mon Feb 4 09:29:18 2008] Extracted 'AI-NaiveBayes1-1.5/t/3-1.out'
[MSG] [Mon Feb 4 09:29:18 2008] Extracted 'AI-NaiveBayes1-1.5/t/6-1.out'
[MSG] [Mon Feb 4 09:29:18 2008] Extracted 'AI-NaiveBayes1-1.5/t/a2.arff'
[MSG] [Mon Feb 4 09:29:18 2008] Extracted 'AI-NaiveBayes1-1.5/t/2-3.out'
[MSG] [Mon Feb 4 09:29:18 2008] Extracted 'AI-NaiveBayes1-1.5/t/1-1.out'
[MSG] [Mon Feb 4 09:29:18 2008] Extracted 'AI-NaiveBayes1-1.5/t/7.t'
[MSG] [Mon Feb 4 09:29:18 2008] Extracted 'AI-NaiveBayes1-1.5/t/4-2.out'
[MSG] [Mon Feb 4 09:29:18 2008] Extracted 'AI-NaiveBayes1-1.5/t/6.t'
[MSG] [Mon Feb 4 09:29:18 2008] Extracted 'AI-NaiveBayes1-1.5/t/1.t'
[MSG] [Mon Feb 4 09:29:18 2008] Extracted 'AI-NaiveBayes1-1.5/t/6-4.out'
[MSG] [Mon Feb 4 09:29:18 2008] Extracted 'AI-NaiveBayes1-1.5/t/2-2.out'
[MSG] [Mon Feb 4 09:29:18 2008] Extracted 'AI-NaiveBayes1-1.5/t/3-2.out'
[MSG] [Mon Feb 4 09:29:18 2008] Extracted 'AI-NaiveBayes1-1.5/t/7-2.out'
[MSG] [Mon Feb 4 09:29:18 2008] Extracted 'AI-NaiveBayes1-1.5/t/3.t'
[MSG] [Mon Feb 4 09:29:18 2008] Extracted 'AI-NaiveBayes1-1.5/t/2-1.out'
[MSG] [Mon Feb 4 09:29:18 2008] Extracted 'AI-NaiveBayes1-1.5/t/4.t'
[MSG] [Mon Feb 4 09:29:18 2008] Extracted 'AI-NaiveBayes1-1.5/t/1-2.out'
[MSG] [Mon Feb 4 09:29:18 2008] Extracted 'AI-NaiveBayes1-1.5/t/5-2.out'
[MSG] [Mon Feb 4 09:29:18 2008] Extracted 'AI-NaiveBayes1-1.5/t/4-1.out'
[MSG] [Mon Feb 4 09:29:18 2008] Extracted 'AI-NaiveBayes1-1.5/t/3-3.out'
[MSG] [Mon Feb 4 09:29:19 2008] Extracted 'AI-NaiveBayes1-1.5/t/5-1.out'
[MSG] [Mon Feb 4 09:29:19 2008] Extracted 'AI-NaiveBayes1-1.5/t/7-1.out'
[MSG] [Mon Feb 4 09:29:19 2008] Extracted 'AI-NaiveBayes1-1.5/NaiveBayes1.pm'
[MSG] [Mon Feb 4 09:29:19 2008] Extracted 'AI-NaiveBayes1-1.5/Changes'
[MSG] [Mon Feb 4 09:29:19 2008] Extracted 'AI::NaiveBayes1' to '/home/cpan/blead/.cpanplus/5.11.0/build/AI-NaiveBayes1-1.5'
[MSG] [Mon Feb 4 09:29:22 2008] Checking if your kit is complete...
Looks good
Warning: prerequisite YAML 0.0 not found.
Writing Makefile for AI::NaiveBayes1
[MSG] [Mon Feb 4 09:29:22 2008] DEFAULT 'filter_prereqs' HANDLER RETURNING 'sub return value'
[MSG] [Mon Feb 4 09:29:22 2008] Module 'AI::NaiveBayes1' requires 'YAML' version '0.0' to be installed
[MSG] [Mon Feb 4 09:29:22 2008] Trying to get 'http://www.cpan.org/authors/id/I/IN/INGY/CHECKSUMS'
[MSG] [Mon Feb 4 09:29:25 2008] Checksum matches for 'YAML-0.66.tar.gz'
[MSG] [Mon Feb 4 09:29:25 2008] Extracted 'YAML-0.66/'
[MSG] [Mon Feb 4 09:29:25 2008] Extracted 'YAML-0.66/Changes'
[MSG] [Mon Feb 4 09:29:25 2008] Extracted 'YAML-0.66/COMPATIBILITY'
[MSG] [Mon Feb 4 09:29:25 2008] Extracted 'YAML-0.66/inc/'
[MSG] [Mon Feb 4 09:29:25 2008] Extracted 'YAML-0.66/inc/Module/'
[MSG] [Mon Feb 4 09:29:25 2008] Extracted 'YAML-0.66/inc/Module/Install/'
[MSG] [Mon Feb 4 09:29:25 2008] Extracted 'YAML-0.66/inc/Module/Install/Base.pm'
[MSG] [Mon Feb 4 09:29:25 2008] Extracted 'YAML-0.66/inc/Module/Install/Can.pm'
[MSG] [Mon Feb 4 09:29:25 2008] Extracted 'YAML-0.66/inc/Module/Install/Fetch.pm'
[MSG] [Mon Feb 4 09:29:25 2008] Extracted 'YAML-0.66/inc/Module/Install/Include.pm'
[MSG] [Mon Feb 4 09:29:25 2008] Extracted 'YAML-0.66/inc/Module/Install/Makefile.pm'
[MSG] [Mon Feb 4 09:29:25 2008] Extracted 'YAML-0.66/inc/Module/Install/Metadata.pm'
[MSG] [Mon Feb 4 09:29:25 2008] Extracted 'YAML-0.66/inc/Module/Install/Scripts.pm'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/inc/Module/Install/TestBase.pm'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/inc/Module/Install/Win32.pm'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/inc/Module/Install/WriteAll.pm'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/inc/Module/Install.pm'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/inc/Spiffy.pm'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/inc/Test/'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/inc/Test/Base/'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/inc/Test/Base/Filter.pm'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/inc/Test/Base.pm'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/inc/Test/Builder/'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/inc/Test/Builder/Module.pm'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/inc/Test/Builder.pm'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/inc/Test/More.pm'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/lib/'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/lib/Test/'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/lib/Test/YAML.pm'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/lib/YAML/'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/lib/YAML/Base.pm'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/lib/YAML/Dumper/'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/lib/YAML/Dumper/Base.pm'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/lib/YAML/Dumper.pm'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/lib/YAML/Error.pm'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/lib/YAML/Loader/'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/lib/YAML/Loader/Base.pm'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/lib/YAML/Loader.pm'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/lib/YAML/Marshall.pm'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/lib/YAML/Node.pm'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/lib/YAML/Tag.pm'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/lib/YAML/Types.pm'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/lib/YAML.pm'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/Makefile.PL'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/MANIFEST'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/META.yml'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/README'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/t/'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/t/2-scalars.t'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/t/Base.pm'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/t/basic-tests.t'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/t/bugs-emailed.t'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/t/bugs-rt.t'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/t/changes.t'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/t/dump-basics.t'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/t/dump-blessed.t'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/t/dump-code.t'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/t/dump-file.t'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/t/dump-nested.t'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/t/dump-opts.t'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/t/dump-perl-types.t'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/t/dump-stringify.t'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/t/dump-tests.t'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/t/dump-works.t'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/t/errors.t'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/t/export.t'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/t/freeze-thaw.t'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/t/global-api.t'
[MSG] [Mon Feb 4 09:29:26 2008] Extracted 'YAML-0.66/t/inbox.t'
[MSG] [Mon Feb 4 09:29:27 2008] Extracted 'YAML-0.66/t/load-fails.t'
[MSG] [Mon Feb 4 09:29:27 2008] Extracted 'YAML-0.66/t/load-passes.t'
[MSG] [Mon Feb 4 09:29:27 2008] Extracted 'YAML-0.66/t/load-slides.t'
[MSG] [Mon Feb 4 09:29:27 2008] Extracted 'YAML-0.66/t/load-spec.t'
[MSG] [Mon Feb 4 09:29:27 2008] Extracted 'YAML-0.66/t/load-tests.t'
[MSG] [Mon Feb 4 09:29:27 2008] Extracted 'YAML-0.66/t/load-works.t'
[MSG] [Mon Feb 4 09:29:27 2008] Extracted 'YAML-0.66/t/long-quoted-value.yaml'
[MSG] [Mon Feb 4 09:29:27 2008] Extracted 'YAML-0.66/t/marshall.t'
[MSG] [Mon Feb 4 09:29:27 2008] Extracted 'YAML-0.66/t/meta-yml.t'
[MSG] [Mon Feb 4 09:29:27 2008] Extracted 'YAML-0.66/t/node-info.t'
[MSG] [Mon Feb 4 09:29:27 2008] Extracted 'YAML-0.66/t/pugs-objects.t'
[MSG] [Mon Feb 4 09:29:27 2008] Extracted 'YAML-0.66/t/references.t'
[MSG] [Mon Feb 4 09:29:27 2008] Extracted 'YAML-0.66/t/regexp.t'
[MSG] [Mon Feb 4 09:29:27 2008] Extracted 'YAML-0.66/t/svk-config.yaml'
[MSG] [Mon Feb 4 09:29:27 2008] Extracted 'YAML-0.66/t/svk.t'
[MSG] [Mon Feb 4 09:29:27 2008] Extracted 'YAML-0.66/t/test.t'
[MSG] [Mon Feb 4 09:29:27 2008] Extracted 'YAML-0.66/t/TestYAML.pm'
[MSG] [Mon Feb 4 09:29:27 2008] Extracted 'YAML-0.66/ysh'
[MSG] [Mon Feb 4 09:29:27 2008] Extracted 'YAML' to '/home/cpan/blead/.cpanplus/5.11.0/build/YAML-0.66'
[MSG] [Mon Feb 4 09:29:30 2008]
*** WARNING ***
This release breaks compatibility with versions earlier than version 0.60 of
YAML::Syck and YAML.pm when serializing blessed references.
See the COMPATIBILITY file for more information.
Continue installing YAML.pm? [y] y
LEGAL WARNING: 'All rights reserved' may invalidate Open Source licenses. Consider removing it. at inc/Module/Install/Metadata.pm line 323.
Writing Makefile for YAML
[MSG] [Mon Feb 4 09:29:30 2008] DEFAULT 'filter_prereqs' HANDLER RETURNING 'sub return value'
[MSG] [Mon Feb 4 09:29:33 2008] cp ysh blib/script/ysh
/home/cpan/blead/bin/perl5.11.0 "-Iinc" "-MExtUtils::MY" -e "MY->fixin(shift)" blib/script/ysh
Manifying blib/man1/ysh.1
Manifying blib/man3/Test::YAML.3
Manifying blib/man3/YAML::Types.3
Manifying blib/man3/YAML::Node.3
Manifying blib/man3/YAML::Loader.3
Manifying blib/man3/YAML::Error.3
Manifying blib/man3/YAML::Loader::Base.3
Manifying blib/man3/YAML.3
Manifying blib/man3/YAML::Dumper::Base.3
Manifying blib/man3/YAML::Base.3
Manifying blib/man3/YAML::Marshall.3
Manifying blib/man3/YAML::Tag.3
Manifying blib/man3/YAML::Dumper.3
[MSG] [Mon Feb 4 09:29:52 2008] MAKE TEST passed: PERL_DL_NONLAZY=1 /home/cpan/blead/bin/perl5.11.0 "-MExtUtils::Command::MM" "-e" "test_harness(0, 'inc', 'blib/lib', 'blib/arch')" t/*.t
t/2-scalars............ok
t/basic-tests..........ok
t/bugs-emailed.........ok
t/bugs-rt..............ok
t/changes..............ok
t/dump-basics..........ok
t/dump-blessed.........ok
t/dump-code............ok
t/dump-file............ok
t/dump-nested..........ok
t/dump-opts............ok
t/dump-perl-types......ok
t/dump-stringify.......ok
t/dump-tests...........ok
t/dump-works...........ok
t/errors...............ok
t/export...............ok
t/freeze-thaw..........ok
t/global-api...........ok
t/inbox................ok
t/load-fails...........ok
t/load-passes..........ok
t/load-slides..........ok
t/load-spec............YAML Warning: Duplicate map key found. Ignoring.
Code: YAML_LOAD_WARN_DUPLICATE_KEY
Line: 12
Document: 1
at lib/YAML/Base.pm line 88
YAML::Base::warn('YAML::Loader=HASH(0x86c53ec)', 'YAML_LOAD_WARN_DUPLICATE_KEY') called at lib/YAML/Loader.pm line 356
YAML::Loader::_parse_mapping('YAML::Loader=HASH(0x86c53ec)', '') called at lib/YAML/Loader.pm line 165
YAML::Loader::_parse_node('YAML::Loader=HASH(0x86c53ec)') called at lib/YAML/Loader.pm line 100
YAML::Loader::_parse('YAML::Loader=HASH(0x86c53ec)') called at lib/YAML/Loader.pm line 22
YAML::Loader::load('YAML::Loader=HASH(0x86c53ec)', '?\x{a} - New York Yankees\x{a} - Atlanta Braves\x{a}:\x{a} - 2001-07-0...') called at lib/YAML.pm line 33
YAML::Load('?\x{a} - New York Yankees\x{a} - Atlanta Braves\x{a}:\x{a} - 2001-07-0...') called at /home/cpan/blead/.cpanplus/5.11.0/build/YAML-0.66/blib/lib/Test/YAML.pm line 101
eval {...} called at /home/cpan/blead/.cpanplus/5.11.0/build/YAML-0.66/blib/lib/Test/YAML.pm line 101
Test::YAML::__ANON__('Test::Base::Block=HASH(0x83e7fac)') called at /home/cpan/blead/.cpanplus/5.11.0/build/YAML-0.66/inc/Test/Base.pm line 270
Test::Base::run(undef) called at /home/cpan/blead/.cpanplus/5.11.0/build/YAML-0.66/blib/lib/Test/YAML.pm line 103
Test::YAML::run_load_passes() called at t/load-spec.t line 3
ok
t/load-tests...........ok
t/load-works...........ok
t/marshall.............ok
t/meta-yml.............ok
t/node-info............ok
t/pugs-objects.........ok
t/references...........ok
t/regexp...............ok
t/svk..................ok
t/test.................ok
All tests successful.
Files=34, Tests=447, 19 wallclock secs ( 0.39 usr 0.25 sys + 15.94 cusr 1.55 csys = 18.13 CPU)
Result: PASS
[MSG] [Mon Feb 4 09:29:52 2008] Sending test report for 'YAML-0.66'
[MSG] [Mon Feb 4 09:29:52 2008] Ok, not sending test report
[MSG] [Mon Feb 4 09:29:55 2008] cp NaiveBayes1.pm blib/lib/AI/NaiveBayes1.pm
Manifying blib/man3/AI::NaiveBayes1.3
[ERROR] [Mon Feb 4 09:30:03 2008] MAKE TEST failed: Illegal seek PERL_DL_NONLAZY=1 /home/cpan/blead/bin/perl5.11.0 "-MExtUtils::Command::MM" "-e" "test_harness(0, 'blib/lib', 'blib/arch')" t/*.t
t/1......Failed comparison with t/1-1.out!
Got: repairs=Y | H | 0.63157894736842
Expected: repairs=Y | H | 0.63157894736842
Got: repairs=Y | T | 0.36842105263157
Expected: repairs=Y | T | 0.36842105263157
Got: repairs=N | H | 0.20967741935483
Expected: repairs=N | H | 0.20967741935483
Got: repairs=N | T | 0.79032258064516
Expected: repairs=N | T | 0.79032258064516
Got: repairs=Y | B | 0.68421052631578
Expected: repairs=Y | B | 0.68421052631578
Got: repairs=Y | N | 0.31578947368421
Expected: repairs=Y | N | 0.31578947368421
Got: repairs=N | B | 0.19354838709677
Expected: repairs=N | B | 0.19354838709677
Got: repairs=N | N | 0.80645161290322
Expected: repairs=N | N | 0.80645161290322
# Failed test at t/auxfunctions.pl line 17.
# Failed test at t/1.t line 38.
# got: 'Model:
# category | P(category)
# ----------+-------------
# repairs=Y | 0.38
# repairs=N | 0.62
# ----------+-------------
#
# category | model | P( model | category )
# ----------+-------+-----------------------
# repairs=Y | H | 0.63157894736842
# repairs=Y | T | 0.36842105263157
# ----------+-------+-----------------------
# repairs=N | H | 0.20967741935483
# repairs=N | T | 0.79032258064516
# ----------+-------+-----------------------
#
# category | place | P( place | category )
# ----------+-------+-----------------------
# repairs=Y | B | 0.68421052631578
# repairs=Y | N | 0.31578947368421
# ----------+-------+-----------------------
# repairs=N | B | 0.19354838709677
# repairs=N | N | 0.80645161290322
# ----------+-------+-----------------------
#
# '
# expected: 'Model:
# category | P(category)
# ----------+-------------
# repairs=Y | 0.38
# repairs=N | 0.62
# ----------+-------------
#
# category | model | P( model | category )
# ----------+-------+-----------------------
# repairs=Y | H | 0.63157894736842
# repairs=Y | T | 0.36842105263157
# ----------+-------+-----------------------
# repairs=N | H | 0.20967741935483
# repairs=N | T | 0.79032258064516
# ----------+-------+-----------------------
#
# category | place | P( place | category )
# ----------+-------+-----------------------
# repairs=Y | B | 0.68421052631578
# repairs=Y | N | 0.31578947368421
# ----------+-------+-----------------------
# repairs=N | B | 0.19354838709677
# repairs=N | N | 0.80645161290322
# ----------+-------+-----------------------
#
# '
# Failed test at t/1.t line 43.
# got: 'Model:
# category | P(category)
# ----------+-------------
# repairs=Y | 0.38
# repairs=N | 0.62
# ----------+-------------
#
# category | model | P( model | category )
# ----------+-------+-----------------------
# repairs=Y | H | 0.63157894736842
# repairs=Y | T | 0.36842105263157
# ----------+-------+-----------------------
# repairs=N | H | 0.20967741935483
# repairs=N | T | 0.79032258064516
# ----------+-------+-----------------------
#
# category | place | P( place | category )
# ----------+-------+-----------------------
# repairs=Y | B | 0.68421052631578
# repairs=Y | N | 0.31578947368421
# ----------+-------+-----------------------
# repairs=N | B | 0.19354838709677
# repairs=N | N | 0.80645161290322
# ----------+-------+-----------------------
#
# '
# expected: 'Model:
# category | P(category)
# ----------+-------------
# repairs=Y | 0.38
# repairs=N | 0.62
# ----------+-------------
#
# category | model | P( model | category )
# ----------+-------+-----------------------
# repairs=Y | H | 0.63157894736842
# repairs=Y | T | 0.36842105263157
# ----------+-------+-----------------------
# repairs=N | H | 0.20967741935483
# repairs=N | T | 0.79032258064516
# ----------+-------+-----------------------
#
# category | place | P( place | category )
# ----------+-------+-----------------------
# repairs=Y | B | 0.68421052631578
# repairs=Y | N | 0.31578947368421
# ----------+-------+-----------------------
# repairs=N | B | 0.19354838709677
# repairs=N | N | 0.80645161290322
# ----------+-------+-----------------------
#
# '
# Looks like you failed 3 tests of 4.
Dubious, test returned 3 (wstat 768, 0x300)
Failed 3/4 subtests
t/2......
# Failed test at t/2.t line 65.
# got: 'Model:
# category | P(category)
# ---------+-------------
# spam=N | 0.15
# spam=Y | 0.85
# ---------+-------------
#
# category | html | P( html | category )
# ---------+------+-----------------------
# spam=N | N | 0.666666666666666667
# spam=N | Y | 0.333333333333333333
# ---------+------+-----------------------
# spam=Y | N | 0.0588235294117647059
# spam=Y | Y | 0.941176470588235294
# ---------+------+-----------------------
#
# category | morning | P( morning | category )
# ---------+---------+-------------------------
# spam=N | N | 0.333333333333333333
# spam=N | Y | 0.666666666666666667
# ---------+---------+-------------------------
# spam=Y | N | 0.647058823529411765
# spam=Y | Y | 0.352941176470588235
# ---------+---------+-------------------------
#
# category | size1 | P( size1 | category )
# ---------+-------+-----------------------
# spam=N | L | 0.333333333333333333
# spam=N | S | 0.666666666666666667
# ---------+-------+-----------------------
# spam=Y | L | 0.588235294117647059
# spam=Y | S | 0.411764705882352941
# ---------+-------+-----------------------
#
# '
# expected: 'Model:
# category | P(category)
# ---------+-------------
# spam=N | 0.15
# spam=Y | 0.85
# ---------+-------------
#
# category | html | P( html | category )
# ---------+------+----------------------
# spam=N | N | 0.666666666666667
# spam=N | Y | 0.333333333333333
# ---------+------+----------------------
# spam=Y | N | 0.0588235294117647
# spam=Y | Y | 0.941176470588235
# ---------+------+----------------------
#
# category | morning | P( morning | category )
# ---------+---------+-------------------------
# spam=N | N | 0.333333333333333
# spam=N | Y | 0.666666666666667
# ---------+---------+-------------------------
# spam=Y | N | 0.647058823529412
# spam=Y | Y | 0.352941176470588
# ---------+---------+-------------------------
#
# category | size1 | P( size1 | category )
# ---------+-------+-----------------------
# spam=N | L | 0.333333333333333
# spam=N | S | 0.666666666666667
# ---------+-------+-----------------------
# spam=Y | L | 0.588235294117647
# spam=Y | S | 0.411764705882353
# ---------+-------+-----------------------
#
# '
# Failed test at t/2.t line 75.
# got: 'Model:
# category | P(category)
# ---------+-------------
# spam=N | 0.15
# spam=Y | 0.85
# ---------+-------------
#
# category | html | P( html | category )
# ---------+------+-----------------------
# spam=N | N | 0.666666666666666667
# spam=N | Y | 0.333333333333333333
# ---------+------+-----------------------
# spam=Y | N | 0.0588235294117647059
# spam=Y | Y | 0.941176470588235294
# ---------+------+-----------------------
#
# category | morning | P( morning | category )
# ---------+---------+-------------------------
# spam=N | N | 0.333333333333333333
# spam=N | Y | 0.666666666666666667
# ---------+---------+-------------------------
# spam=Y | N | 0.647058823529411765
# spam=Y | Y | 0.352941176470588235
# ---------+---------+-------------------------
#
# category | size1 | P( size1 | category )
# ---------+-------+-----------------------
# spam=N | L | 0.333333333333333333
# spam=N | S | 0.666666666666666667
# ---------+-------+-----------------------
# spam=Y | L | 0.588235294117647059
# spam=Y | S | 0.411764705882352941
# ---------+-------+-----------------------
#
# '
# expected: 'Model:
# category | P(category)
# ---------+-------------
# spam=N | 0.15
# spam=Y | 0.85
# ---------+-------------
#
# category | html | P( html | category )
# ---------+------+----------------------
# spam=N | N | 0.666666666666667
# spam=N | Y | 0.333333333333333
# ---------+------+----------------------
# spam=Y | N | 0.0588235294117647
# spam=Y | Y | 0.941176470588235
# ---------+------+----------------------
#
# category | morning | P( morning | category )
# ---------+---------+-------------------------
# spam=N | N | 0.333333333333333
# spam=N | Y | 0.666666666666667
# ---------+---------+-------------------------
# spam=Y | N | 0.647058823529412
# spam=Y | Y | 0.352941176470588
# ---------+---------+-------------------------
#
# category | size1 | P( size1 | category )
# ---------+-------+-----------------------
# spam=N | L | 0.333333333333333
# spam=N | S | 0.666666666666667
# ---------+-------+-----------------------
# spam=Y | L | 0.588235294117647
# spam=Y | S | 0.411764705882353
# ---------+-------+-----------------------
#
# '
# Failed test at t/2.t line 79.
# got: 'Model:
# category | P(category)
# ---------+-------------
# spam=N | 0.15
# spam=Y | 0.85
# ---------+-------------
#
# category | html | P( html | category )
# ---------+------+-----------------------
# spam=N | N | 0.666666666666666667
# spam=N | Y | 0.333333333333333333
# ---------+------+-----------------------
# spam=Y | N | 0.0588235294117647059
# spam=Y | Y | 0.941176470588235294
# ---------+------+-----------------------
#
# category | morning | P( morning | category )
# ---------+---------+-------------------------
# spam=N | N | 0.333333333333333333
# spam=N | Y | 0.666666666666666667
# ---------+---------+-------------------------
# spam=Y | N | 0.647058823529411765
# spam=Y | Y | 0.352941176470588235
# ---------+---------+-------------------------
#
# category | size1 | P( size1 | category )
# ---------+-------+-----------------------
# spam=N | L | 0.333333333333333333
# spam=N | S | 0.666666666666666667
# ---------+-------+-----------------------
# spam=Y | L | 0.588235294117647059
# spam=Y | S | 0.411764705882352941
# ---------+-------+-----------------------
#
# '
# expected: 'Model:
# category | P(category)
# ---------+-------------
# spam=N | 0.15
# spam=Y | 0.85
# ---------+-------------
#
# category | html | P( html | category )
# ---------+------+----------------------
# spam=N | N | 0.666666666666667
# spam=N | Y | 0.333333333333333
# ---------+------+----------------------
# spam=Y | N | 0.0588235294117647
# spam=Y | Y | 0.941176470588235
# ---------+------+----------------------
#
# category | morning | P( morning | category )
# ---------+---------+-------------------------
# spam=N | N | 0.333333333333333
# spam=N | Y | 0.666666666666667
# ---------+---------+-------------------------
# spam=Y | N | 0.647058823529412
# spam=Y | Y | 0.352941176470588
# ---------+---------+-------------------------
#
# category | size1 | P( size1 | category )
# ---------+-------+-----------------------
# spam=N | L | 0.333333333333333
# spam=N | S | 0.666666666666667
# ---------+-------+-----------------------
# spam=Y | L | 0.588235294117647
# spam=Y | S | 0.411764705882353
# ---------+-------+-----------------------
#
# '
# Looks like you failed 3 tests of 6.
Dubious, test returned 3 (wstat 768, 0x300)
Failed 3/6 subtests
t/3......
# Failed test at t/3.t line 57.
# got: 'Model:
# category | P(category)
# ---------+----------------------
# play=no | 0.357142857142857143
# play=yes | 0.642857142857142857
# ---------+----------------------
#
# category | humidity | P( humidity | category )
# ---------+----------+--------------------------
# play=no | high | 0.8
# play=no | normal | 0.2
# ---------+----------+--------------------------
# play=yes | high | 0.333333333333333333
# play=yes | normal | 0.666666666666666667
# ---------+----------+--------------------------
#
# category | outlook | P( outlook | category )
# ---------+----------+-------------------------
# play=no | rainy | 0.4
# play=no | sunny | 0.6
# ---------+----------+-------------------------
# play=yes | overcast | 0.444444444444444444
# play=yes | rainy | 0.333333333333333333
# play=yes | sunny | 0.222222222222222222
# ---------+----------+-------------------------
#
# category | temperature | P( temperature | category )
# ---------+-------------+-----------------------------
# play=no | cool | 0.2
# play=no | hot | 0.4
# play=no | mild | 0.4
# ---------+-------------+-----------------------------
# play=yes | cool | 0.333333333333333333
# play=yes | hot | 0.222222222222222222
# play=yes | mild | 0.444444444444444444
# ---------+-------------+-----------------------------
#
# category | windy | P( windy | category )
# ---------+-------+-----------------------
# play=no | FALSE | 0.4
# play=no | TRUE | 0.6
# ---------+-------+-----------------------
# play=yes | FALSE | 0.666666666666666667
# play=yes | TRUE | 0.333333333333333333
# ---------+-------+-----------------------
#
# '
# expected: 'Model:
# category | P(category)
# ---------+-------------------
# play=no | 0.357142857142857
# play=yes | 0.642857142857143
# ---------+-------------------
#
# category | humidity | P( humidity | category )
# ---------+----------+--------------------------
# play=no | high | 0.8
# play=no | normal | 0.2
# ---------+----------+--------------------------
# play=yes | high | 0.333333333333333
# play=yes | normal | 0.666666666666667
# ---------+----------+--------------------------
#
# category | outlook | P( outlook | category )
# ---------+----------+-------------------------
# play=no | rainy | 0.4
# play=no | sunny | 0.6
# ---------+----------+-------------------------
# play=yes | overcast | 0.444444444444444
# play=yes | rainy | 0.333333333333333
# play=yes | sunny | 0.222222222222222
# ---------+----------+-------------------------
#
# category | temperature | P( temperature | category )
# ---------+-------------+-----------------------------
# play=no | cool | 0.2
# play=no | hot | 0.4
# play=no | mild | 0.4
# ---------+-------------+-----------------------------
# play=yes | cool | 0.333333333333333
# play=yes | hot | 0.222222222222222
# play=yes | mild | 0.444444444444444
# ---------+-------------+-----------------------------
#
# category | windy | P( windy | category )
# ---------+-------+-----------------------
# play=no | FALSE | 0.4
# play=no | TRUE | 0.6
# ---------+-------+-----------------------
# play=yes | FALSE | 0.666666666666667
# play=yes | TRUE | 0.333333333333333
# ---------+-------+-----------------------
#
# '
# Failed test at t/3.t line 67.
# got: 'Model:
# category | P(category)
# ---------+----------------------
# play=no | 0.357142857142857143
# play=yes | 0.642857142857142857
# ---------+----------------------
#
# category | humidity | P( humidity | category )
# ---------+----------+--------------------------
# play=no | high | 0.8
# play=no | normal | 0.2
# ---------+----------+--------------------------
# play=yes | high | 0.333333333333333333
# play=yes | normal | 0.666666666666666667
# ---------+----------+--------------------------
#
# category | outlook | P( outlook | category )
# ---------+----------+-------------------------
# play=no | rainy | 0.4
# play=no | sunny | 0.6
# ---------+----------+-------------------------
# play=yes | overcast | 0.444444444444444444
# play=yes | rainy | 0.333333333333333333
# play=yes | sunny | 0.222222222222222222
# ---------+----------+-------------------------
#
# category | temperature | P( temperature | category )
# ---------+-------------+-----------------------------
# play=no | cool | 0.2
# play=no | hot | 0.4
# play=no | mild | 0.4
# ---------+-------------+-----------------------------
# play=yes | cool | 0.333333333333333333
# play=yes | hot | 0.222222222222222222
# play=yes | mild | 0.444444444444444444
# ---------+-------------+-----------------------------
#
# category | windy | P( windy | category )
# ---------+-------+-----------------------
# play=no | FALSE | 0.4
# play=no | TRUE | 0.6
# ---------+-------+-----------------------
# play=yes | FALSE | 0.666666666666666667
# play=yes | TRUE | 0.333333333333333333
# ---------+-------+-----------------------
#
# '
# expected: 'Model:
# category | P(category)
# ---------+-------------------
# play=no | 0.357142857142857
# play=yes | 0.642857142857143
# ---------+-------------------
#
# category | humidity | P( humidity | category )
# ---------+----------+--------------------------
# play=no | high | 0.8
# play=no | normal | 0.2
# ---------+----------+--------------------------
# play=yes | high | 0.333333333333333
# play=yes | normal | 0.666666666666667
# ---------+----------+--------------------------
#
# category | outlook | P( outlook | category )
# ---------+----------+-------------------------
# play=no | rainy | 0.4
# play=no | sunny | 0.6
# ---------+----------+-------------------------
# play=yes | overcast | 0.444444444444444
# play=yes | rainy | 0.333333333333333
# play=yes | sunny | 0.222222222222222
# ---------+----------+-------------------------
#
# category | temperature | P( temperature | category )
# ---------+-------------+-----------------------------
# play=no | cool | 0.2
# play=no | hot | 0.4
# play=no | mild | 0.4
# ---------+-------------+-----------------------------
# play=yes | cool | 0.333333333333333
# play=yes | hot | 0.222222222222222
# play=yes | mild | 0.444444444444444
# ---------+-------------+-----------------------------
#
# category | windy | P( windy | category )
# ---------+-------+-----------------------
# play=no | FALSE | 0.4
# play=no | TRUE | 0.6
# ---------+-------+-----------------------
# play=yes | FALSE | 0.666666666666667
# play=yes | TRUE | 0.333333333333333
# ---------+-------+-----------------------
#
# '
# Failed test at t/3.t line 71.
# got: 'Model:
# category | P(category)
# ---------+----------------------
# play=no | 0.357142857142857143
# play=yes | 0.642857142857142857
# ---------+----------------------
#
# category | humidity | P( humidity | category )
# ---------+----------+--------------------------
# play=no | high | 0.8
# play=no | normal | 0.2
# ---------+----------+--------------------------
# play=yes | high | 0.333333333333333333
# play=yes | normal | 0.666666666666666667
# ---------+----------+--------------------------
#
# category | outlook | P( outlook | category )
# ---------+----------+-------------------------
# play=no | rainy | 0.4
# play=no | sunny | 0.6
# ---------+----------+-------------------------
# play=yes | overcast | 0.444444444444444444
# play=yes | rainy | 0.333333333333333333
# play=yes | sunny | 0.222222222222222222
# ---------+----------+-------------------------
#
# category | temperature | P( temperature | category )
# ---------+-------------+-----------------------------
# play=no | cool | 0.2
# play=no | hot | 0.4
# play=no | mild | 0.4
# ---------+-------------+-----------------------------
# play=yes | cool | 0.333333333333333333
# play=yes | hot | 0.222222222222222222
# play=yes | mild | 0.444444444444444444
# ---------+-------------+-----------------------------
#
# category | windy | P( windy | category )
# ---------+-------+-----------------------
# play=no | FALSE | 0.4
# play=no | TRUE | 0.6
# ---------+-------+-----------------------
# play=yes | FALSE | 0.666666666666666667
# play=yes | TRUE | 0.333333333333333333
# ---------+-------+-----------------------
#
# '
# expected: 'Model:
# category | P(category)
# ---------+-------------------
# play=no | 0.357142857142857
# play=yes | 0.642857142857143
# ---------+-------------------
#
# category | humidity | P( humidity | category )
# ---------+----------+--------------------------
# play=no | high | 0.8
# play=no | normal | 0.2
# ---------+----------+--------------------------
# play=yes | high | 0.333333333333333
# play=yes | normal | 0.666666666666667
# ---------+----------+--------------------------
#
# category | outlook | P( outlook | category )
# ---------+----------+-------------------------
# play=no | rainy | 0.4
# play=no | sunny | 0.6
# ---------+----------+-------------------------
# play=yes | overcast | 0.444444444444444
# play=yes | rainy | 0.333333333333333
# play=yes | sunny | 0.222222222222222
# ---------+----------+-------------------------
#
# category | temperature | P( temperature | category )
# ---------+-------------+-----------------------------
# play=no | cool | 0.2
# play=no | hot | 0.4
# play=no | mild | 0.4
# ---------+-------------+-----------------------------
# play=yes | cool | 0.333333333333333
# play=yes | hot | 0.222222222222222
# play=yes | mild | 0.444444444444444
# ---------+-------------+-----------------------------
#
# category | windy | P( windy | category )
# ---------+-------+-----------------------
# play=no | FALSE | 0.4
# play=no | TRUE | 0.6
# ---------+-------+-----------------------
# play=yes | FALSE | 0.666666666666667
# play=yes | TRUE | 0.333333333333333
# ---------+-------+-----------------------
#
# '
# Looks like you failed 3 tests of 6.
Dubious, test returned 3 (wstat 768, 0x300)
Failed 3/6 subtests
t/4......
# Failed test at t/4.t line 60.
# got: 'Model:
# category | P(category)
# ---------+----------------------
# play=no | 0.357142857142857143
# play=yes | 0.642857142857142857
# ---------+----------------------
#
# category | humidity | P( humidity | category )
# ---------+----------+---------------------------------------------------------------
# play=no | real | Gaussian(mean=86.2,stddev=9.73139250056229106)
# ---------+----------+---------------------------------------------------------------
# play=yes | real | Gaussian(mean=79.1111111111111111,stddev=10.2157286138146363)
# ---------+----------+---------------------------------------------------------------
#
# category | outlook | P( outlook | category )
# ---------+----------+-------------------------
# play=no | rainy | 0.4
# play=no | sunny | 0.6
# ---------+----------+-------------------------
# play=yes | overcast | 0.444444444444444444
# play=yes | rainy | 0.333333333333333333
# play=yes | sunny | 0.222222222222222222
# ---------+----------+-------------------------
#
# category | temperature | P( temperature | category )
# ---------+-------------+------------------------------------------------
# play=no | real | Gaussian(mean=74.6,stddev=7.89303490426844622)
# ---------+-------------+------------------------------------------------
# play=yes | real | Gaussian(mean=73,stddev=6.16441400296897645)
# ---------+-------------+------------------------------------------------
#
# category | windy | P( windy | category )
# ---------+-------+-----------------------
# play=no | FALSE | 0.4
# play=no | TRUE | 0.6
# ---------+-------+-----------------------
# play=yes | FALSE | 0.666666666666666667
# play=yes | TRUE | 0.333333333333333333
# ---------+-------+-----------------------
#
# '
# expected: 'Model:
# category | P(category)
# ---------+-------------------
# play=no | 0.357142857142857
# play=yes | 0.642857142857143
# ---------+-------------------
#
# category | humidity | P( humidity | category )
# ---------+----------+---------------------------------------------------------
# play=no | real | Gaussian(mean=86.2,stddev=9.73139250056229)
# ---------+----------+---------------------------------------------------------
# play=yes | real | Gaussian(mean=79.1111111111111,stddev=10.2157286138146)
# ---------+----------+---------------------------------------------------------
#
# category | outlook | P( outlook | category )
# ---------+----------+-------------------------
# play=no | rainy | 0.4
# play=no | sunny | 0.6
# ---------+----------+-------------------------
# play=yes | overcast | 0.444444444444444
# play=yes | rainy | 0.333333333333333
# play=yes | sunny | 0.222222222222222
# ---------+----------+-------------------------
#
# category | temperature | P( temperature | category )
# ---------+-------------+---------------------------------------------
# play=no | real | Gaussian(mean=74.6,stddev=7.89303490426845)
# ---------+-------------+---------------------------------------------
# play=yes | real | Gaussian(mean=73,stddev=6.16441400296898)
# ---------+-------------+---------------------------------------------
#
# category | windy | P( windy | category )
# ---------+-------+-----------------------
# play=no | FALSE | 0.4
# play=no | TRUE | 0.6
# ---------+-------+-----------------------
# play=yes | FALSE | 0.666666666666667
# play=yes | TRUE | 0.333333333333333
# ---------+-------+-----------------------
#
# '
# Failed test at t/4.t line 70.
# got: 'Model:
# category | P(category)
# ---------+----------------------
# play=no | 0.357142857142857143
# play=yes | 0.642857142857142857
# ---------+----------------------
#
# category | humidity | P( humidity | category )
# ---------+----------+---------------------------------------------------------------
# play=no | real | Gaussian(mean=86.2,stddev=9.73139250056229106)
# ---------+----------+---------------------------------------------------------------
# play=yes | real | Gaussian(mean=79.1111111111111111,stddev=10.2157286138146363)
# ---------+----------+---------------------------------------------------------------
#
# category | outlook | P( outlook | category )
# ---------+----------+-------------------------
# play=no | rainy | 0.4
# play=no | sunny | 0.6
# ---------+----------+-------------------------
# play=yes | overcast | 0.444444444444444444
# play=yes | rainy | 0.333333333333333333
# play=yes | sunny | 0.222222222222222222
# ---------+----------+-------------------------
#
# category | temperature | P( temperature | category )
# ---------+-------------+------------------------------------------------
# play=no | real | Gaussian(mean=74.6,stddev=7.89303490426844622)
# ---------+-------------+------------------------------------------------
# play=yes | real | Gaussian(mean=73,stddev=6.16441400296897645)
# ---------+-------------+------------------------------------------------
#
# category | windy | P( windy | category )
# ---------+-------+-----------------------
# play=no | FALSE | 0.4
# play=no | TRUE | 0.6
# ---------+-------+-----------------------
# play=yes | FALSE | 0.666666666666666667
# play=yes | TRUE | 0.333333333333333333
# ---------+-------+-----------------------
#
# '
# expected: 'Model:
# category | P(category)
# ---------+-------------------
# play=no | 0.357142857142857
# play=yes | 0.642857142857143
# ---------+-------------------
#
# category | humidity | P( humidity | category )
# ---------+----------+---------------------------------------------------------
# play=no | real | Gaussian(mean=86.2,stddev=9.73139250056229)
# ---------+----------+---------------------------------------------------------
# play=yes | real | Gaussian(mean=79.1111111111111,stddev=10.2157286138146)
# ---------+----------+---------------------------------------------------------
#
# category | outlook | P( outlook | category )
# ---------+----------+-------------------------
# play=no | rainy | 0.4
# play=no | sunny | 0.6
# ---------+----------+-------------------------
# play=yes | overcast | 0.444444444444444
# play=yes | rainy | 0.333333333333333
# play=yes | sunny | 0.222222222222222
# ---------+----------+-------------------------
#
# category | temperature | P( temperature | category )
# ---------+-------------+---------------------------------------------
# play=no | real | Gaussian(mean=74.6,stddev=7.89303490426845)
# ---------+-------------+---------------------------------------------
# play=yes | real | Gaussian(mean=73,stddev=6.16441400296898)
# ---------+-------------+---------------------------------------------
#
# category | windy | P( windy | category )
# ---------+-------+-----------------------
# play=no | FALSE | 0.4
# play=no | TRUE | 0.6
# ---------+-------+-----------------------
# play=yes | FALSE | 0.666666666666667
# play=yes | TRUE | 0.333333333333333
# ---------+-------+-----------------------
#
# '
# Failed test at t/4.t line 74.
# got: 'Model:
# category | P(category)
# ---------+----------------------
# play=no | 0.357142857142857143
# play=yes | 0.642857142857142857
# ---------+----------------------
#
# category | humidity | P( humidity | category )
# ---------+----------+---------------------------------------------------------------
# play=no | real | Gaussian(mean=86.2,stddev=9.73139250056229106)
# ---------+----------+---------------------------------------------------------------
# play=yes | real | Gaussian(mean=79.1111111111111111,stddev=10.2157286138146363)
# ---------+----------+---------------------------------------------------------------
#
# category | outlook | P( outlook | category )
# ---------+----------+-------------------------
# play=no | rainy | 0.4
# play=no | sunny | 0.6
# ---------+----------+-------------------------
# play=yes | overcast | 0.444444444444444444
# play=yes | rainy | 0.333333333333333333
# play=yes | sunny | 0.222222222222222222
# ---------+----------+-------------------------
#
# category | temperature | P( temperature | category )
# ---------+-------------+------------------------------------------------
# play=no | real | Gaussian(mean=74.6,stddev=7.89303490426844622)
# ---------+-------------+------------------------------------------------
# play=yes | real | Gaussian(mean=73,stddev=6.16441400296897645)
# ---------+-------------+------------------------------------------------
#
# category | windy | P( windy | category )
# ---------+-------+-----------------------
# play=no | FALSE | 0.4
# play=no | TRUE | 0.6
# ---------+-------+-----------------------
# play=yes | FALSE | 0.666666666666666667
# play=yes | TRUE | 0.333333333333333333
# ---------+-------+-----------------------
#
# '
# expected: 'Model:
# category | P(category)
# ---------+-------------------
# play=no | 0.357142857142857
# play=yes | 0.642857142857143
# ---------+-------------------
#
# category | humidity | P( humidity | category )
# ---------+----------+---------------------------------------------------------
# play=no | real | Gaussian(mean=86.2,stddev=9.73139250056229)
# ---------+----------+---------------------------------------------------------
# play=yes | real | Gaussian(mean=79.1111111111111,stddev=10.2157286138146)
# ---------+----------+---------------------------------------------------------
#
# category | outlook | P( outlook | category )
# ---------+----------+-------------------------
# play=no | rainy | 0.4
# play=no | sunny | 0.6
# ---------+----------+-------------------------
# play=yes | overcast | 0.444444444444444
# play=yes | rainy | 0.333333333333333
# play=yes | sunny | 0.222222222222222
# ---------+----------+-------------------------
#
# category | temperature | P( temperature | category )
# ---------+-------------+---------------------------------------------
# play=no | real | Gaussian(mean=74.6,stddev=7.89303490426845)
# ---------+-------------+---------------------------------------------
# play=yes | real | Gaussian(mean=73,stddev=6.16441400296898)
# ---------+-------------+---------------------------------------------
#
# category | windy | P( windy | category )
# ---------+-------+-----------------------
# play=no | FALSE | 0.4
# play=no | TRUE | 0.6
# ---------+-------+-----------------------
# play=yes | FALSE | 0.666666666666667
# play=yes | TRUE | 0.333333333333333
# ---------+-------+-----------------------
#
# '
# Looks like you failed 3 tests of 6.
Dubious, test returned 3 (wstat 768, 0x300)
Failed 3/6 subtests
t/5......
# Failed test at t/5.t line 66.
# got: 'Model:
# category | P(category)
# ---------+-------------
# spam=N | 0.15
# spam=Y | 0.85
# ---------+-------------
#
# category | html | P( html | category )
# ---------+------+-----------------------
# spam=N | N | 0.666666666666666667
# spam=N | Y | 0.333333333333333333
# ---------+------+-----------------------
# spam=Y | N | 0.0588235294117647059
# spam=Y | Y | 0.941176470588235294
# ---------+------+-----------------------
#
# category | morning | P( morning | category )
# ---------+---------+-------------------------
# spam=N | N | 0.333333333333333333
# spam=N | Y | 0.666666666666666667
# ---------+---------+-------------------------
# spam=Y | N | 0.647058823529411765
# spam=Y | Y | 0.352941176470588235
# ---------+---------+-------------------------
#
# category | size | P( size | category )
# ---------+------+---------------------------------------------------------------
# spam=N | real | Gaussian(mean=1443.33333333333333,stddev=1521.30777074638429)
# ---------+------+---------------------------------------------------------------
# spam=Y | real | Gaussian(mean=2344.64705882352941,stddev=1397.40106721265203)
# ---------+------+---------------------------------------------------------------
#
# '
# expected: 'Model:
# category | P(category)
# ---------+-------------
# spam=N | 0.15
# spam=Y | 0.85
# ---------+-------------
#
# category | html | P( html | category )
# ---------+------+----------------------
# spam=N | N | 0.666666666666667
# spam=N | Y | 0.333333333333333
# ---------+------+----------------------
# spam=Y | N | 0.0588235294117647
# spam=Y | Y | 0.941176470588235
# ---------+------+----------------------
#
# category | morning | P( morning | category )
# ---------+---------+-------------------------
# spam=N | N | 0.333333333333333
# spam=N | Y | 0.666666666666667
# ---------+---------+-------------------------
# spam=Y | N | 0.647058823529412
# spam=Y | Y | 0.352941176470588
# ---------+---------+-------------------------
#
# category | size | P( size | category )
# ---------+------+---------------------------------------------------------
# spam=N | real | Gaussian(mean=1443.33333333333,stddev=1521.30777074638)
# ---------+------+---------------------------------------------------------
# spam=Y | real | Gaussian(mean=2344.64705882353,stddev=1397.40106721265)
# ---------+------+---------------------------------------------------------
#
# '
# Failed test at t/5.t line 76.
# got: 'Model:
# category | P(category)
# ---------+-------------
# spam=N | 0.15
# spam=Y | 0.85
# ---------+-------------
#
# category | html | P( html | category )
# ---------+------+-----------------------
# spam=N | N | 0.666666666666666667
# spam=N | Y | 0.333333333333333333
# ---------+------+-----------------------
# spam=Y | N | 0.0588235294117647059
# spam=Y | Y | 0.941176470588235294
# ---------+------+-----------------------
#
# category | morning | P( morning | category )
# ---------+---------+-------------------------
# spam=N | N | 0.333333333333333333
# spam=N | Y | 0.666666666666666667
# ---------+---------+-------------------------
# spam=Y | N | 0.647058823529411765
# spam=Y | Y | 0.352941176470588235
# ---------+---------+-------------------------
#
# category | size | P( size | category )
# ---------+------+---------------------------------------------------------------
# spam=N | real | Gaussian(mean=1443.33333333333333,stddev=1521.30777074638429)
# ---------+------+---------------------------------------------------------------
# spam=Y | real | Gaussian(mean=2344.64705882352941,stddev=1397.40106721265203)
# ---------+------+---------------------------------------------------------------
#
# '
# expected: 'Model:
# category | P(category)
# ---------+-------------
# spam=N | 0.15
# spam=Y | 0.85
# ---------+-------------
#
# category | html | P( html | category )
# ---------+------+----------------------
# spam=N | N | 0.666666666666667
# spam=N | Y | 0.333333333333333
# ---------+------+----------------------
# spam=Y | N | 0.0588235294117647
# spam=Y | Y | 0.941176470588235
# ---------+------+----------------------
#
# category | morning | P( morning | category )
# ---------+---------+-------------------------
# spam=N | N | 0.333333333333333
# spam=N | Y | 0.666666666666667
# ---------+---------+-------------------------
# spam=Y | N | 0.647058823529412
# spam=Y | Y | 0.352941176470588
# ---------+---------+-------------------------
#
# category | size | P( size | category )
# ---------+------+---------------------------------------------------------
# spam=N | real | Gaussian(mean=1443.33333333333,stddev=1521.30777074638)
# ---------+------+---------------------------------------------------------
# spam=Y | real | Gaussian(mean=2344.64705882353,stddev=1397.40106721265)
# ---------+------+---------------------------------------------------------
#
# '
# Failed test at t/5.t line 80.
# got: 'Model:
# category | P(category)
# ---------+-------------
# spam=N | 0.15
# spam=Y | 0.85
# ---------+-------------
#
# category | html | P( html | category )
# ---------+------+-----------------------
# spam=N | N | 0.666666666666666667
# spam=N | Y | 0.333333333333333333
# ---------+------+-----------------------
# spam=Y | N | 0.0588235294117647059
# spam=Y | Y | 0.941176470588235294
# ---------+------+-----------------------
#
# category | morning | P( morning | category )
# ---------+---------+-------------------------
# spam=N | N | 0.333333333333333333
# spam=N | Y | 0.666666666666666667
# ---------+---------+-------------------------
# spam=Y | N | 0.647058823529411765
# spam=Y | Y | 0.352941176470588235
# ---------+---------+-------------------------
#
# category | size | P( size | category )
# ---------+------+---------------------------------------------------------------
# spam=N | real | Gaussian(mean=1443.33333333333333,stddev=1521.30777074638429)
# ---------+------+---------------------------------------------------------------
# spam=Y | real | Gaussian(mean=2344.64705882352941,stddev=1397.40106721265203)
# ---------+------+---------------------------------------------------------------
#
# '
# expected: 'Model:
# category | P(category)
# ---------+-------------
# spam=N | 0.15
# spam=Y | 0.85
# ---------+-------------
#
# category | html | P( html | category )
# ---------+------+----------------------
# spam=N | N | 0.666666666666667
# spam=N | Y | 0.333333333333333
# ---------+------+----------------------
# spam=Y | N | 0.0588235294117647
# spam=Y | Y | 0.941176470588235
# ---------+------+----------------------
#
# category | morning | P( morning | category )
# ---------+---------+-------------------------
# spam=N | N | 0.333333333333333
# spam=N | Y | 0.666666666666667
# ---------+---------+-------------------------
# spam=Y | N | 0.647058823529412
# spam=Y | Y | 0.352941176470588
# ---------+---------+-------------------------
#
# category | size | P( size | category )
# ---------+------+---------------------------------------------------------
# spam=N | real | Gaussian(mean=1443.33333333333,stddev=1521.30777074638)
# ---------+------+---------------------------------------------------------
# spam=Y | real | Gaussian(mean=2344.64705882353,stddev=1397.40106721265)
# ---------+------+---------------------------------------------------------
#
# '
# Looks like you failed 3 tests of 6.
Dubious, test returned 3 (wstat 768, 0x300)
Failed 3/6 subtests
t/6......
# Failed test at t/6.t line 24.
# got: 'Model:
# category | P(category)
# ---------+-------------
# S=Y | 0.38
# S=N | 0.62
# ---------+-------------
#
# category | C | P( C | category )
# ---------+---+----------------------
# S=Y | N | 0.368421052631578947
# S=Y | Y | 0.631578947368421053
# ---------+---+----------------------
# S=N | N | 0.79032258064516129
# S=N | Y | 0.20967741935483871
# ---------+---+----------------------
#
# category | F | P( F | category )
# ---------+---+----------------------
# S=Y | 0 | 0.315789473684210526
# S=Y | 2 | 0.684210526315789474
# ---------+---+----------------------
# S=N | 0 | 0.806451612903225806
# S=N | 2 | 0.193548387096774194
# ---------+---+----------------------
#
# '
# expected: 'Model:
# category | P(category)
# ---------+-------------
# S=Y | 0.38
# S=N | 0.62
# ---------+-------------
#
# category | C | P( C | category )
# ---------+---+-------------------
# S=Y | N | 0.368421052631579
# S=Y | Y | 0.631578947368421
# ---------+---+-------------------
# S=N | N | 0.790322580645161
# S=N | Y | 0.209677419354839
# ---------+---+-------------------
#
# category | F | P( F | category )
# ---------+---+-------------------
# S=Y | 0 | 0.315789473684211
# S=Y | 2 | 0.684210526315789
# ---------+---+-------------------
# S=N | 0 | 0.806451612903226
# S=N | 2 | 0.193548387096774
# ---------+---+-------------------
#
# '
# Failed test at t/6.t line 32.
# got: 'Model:
# category | P(category)
# ---------+-------------
# S=Y | 0.38
# S=N | 0.62
# ---------+-------------
#
# category | C | P( C | category )
# ---------+---+----------------------
# S=Y | N | 0.368421052631578947
# S=Y | Y | 0.631578947368421053
# ---------+---+----------------------
# S=N | N | 0.79032258064516129
# S=N | Y | 0.20967741935483871
# ---------+---+----------------------
#
# category | F | P( F | category )
# ---------+---+----------------------
# S=Y | 0 | 0.315789473684210526
# S=Y | 2 | 0.684210526315789474
# ---------+---+----------------------
# S=N | 0 | 0.806451612903225806
# S=N | 2 | 0.193548387096774194
# ---------+---+----------------------
#
# '
# expected: 'Model:
# category | P(category)
# ---------+-------------
# S=Y | 0.38
# S=N | 0.62
# ---------+-------------
#
# category | C | P( C | category )
# ---------+---+-------------------
# S=Y | N | 0.368421052631579
# S=Y | Y | 0.631578947368421
# ---------+---+-------------------
# S=N | N | 0.790322580645161
# S=N | Y | 0.209677419354839
# ---------+---+-------------------
#
# category | F | P( F | category )
# ---------+---+-------------------
# S=Y | 0 | 0.315789473684211
# S=Y | 2 | 0.684210526315789
# ---------+---+-------------------
# S=N | 0 | 0.806451612903226
# S=N | 2 | 0.193548387096774
# ---------+---+-------------------
#
# '
# Failed test at t/6.t line 59.
# got: 'Model:
# category | P(category)
# ---------+-------------
# S=Y | 0.38
# S=N | 0.62
# ---------+-------------
#
# category | C | P( C | category )
# ---------+---+----------------------
# S=Y | N | 0.368421052631578947
# S=Y | Y | 0.631578947368421053
# ---------+---+----------------------
# S=N | N | 0.79032258064516129
# S=N | Y | 0.20967741935483871
# ---------+---+----------------------
#
# category | F | P( F | category )
# ---------+------+-----------------------------------------------------------------
# S=Y | real | Gaussian(mean=1.36842105263157895,stddev=0.935836242984962902)
# ---------+------+-----------------------------------------------------------------
# S=N | real | Gaussian(mean=0.387096774193548387,stddev=0.793363503758019253)
# ---------+------+-----------------------------------------------------------------
#
# '
# expected: 'Model:
# category | P(category)
# ---------+-------------
# S=Y | 0.38
# S=N | 0.62
# ---------+-------------
#
# category | C | P( C | category )
# ---------+---+-------------------
# S=Y | N | 0.368421052631579
# S=Y | Y | 0.631578947368421
# ---------+---+-------------------
# S=N | N | 0.790322580645161
# S=N | Y | 0.209677419354839
# ---------+---+-------------------
#
# category | F | P( F | category )
# ---------+------+-----------------------------------------------------------
# S=Y | real | Gaussian(mean=1.36842105263158,stddev=0.935836242984963)
# ---------+------+-----------------------------------------------------------
# S=N | real | Gaussian(mean=0.387096774193548,stddev=0.793363503758019)
# ---------+------+-----------------------------------------------------------
#
# '
# Failed test at t/6.t line 64.
# got: 'Model:
# category | P(category)
# ---------+-------------
# S=Y | 0.38
# S=N | 0.62
# ---------+-------------
#
# category | C | P( C | category )
# ---------+---+----------------------
# S=Y | N | 0.368421052631578947
# S=Y | Y | 0.631578947368421053
# ---------+---+----------------------
# S=N | N | 0.79032258064516129
# S=N | Y | 0.20967741935483871
# ---------+---+----------------------
#
# category | F | P( F | category )
# ---------+------+-----------------------------------------------------------------
# S=Y | real | Gaussian(mean=1.36842105263157895,stddev=0.935836242984962902)
# ---------+------+-----------------------------------------------------------------
# S=N | real | Gaussian(mean=0.387096774193548387,stddev=0.793363503758019253)
# ---------+------+-----------------------------------------------------------------
#
# '
# expected: 'Model:
# category | P(category)
# ---------+-------------
# S=Y | 0.38
# S=N | 0.62
# ---------+-------------
#
# category | C | P( C | category )
# ---------+---+-------------------
# S=Y | N | 0.368421052631579
# S=Y | Y | 0.631578947368421
# ---------+---+-------------------
# S=N | N | 0.790322580645161
# S=N | Y | 0.209677419354839
# ---------+---+-------------------
#
# category | F | P( F | category )
# ---------+------+-----------------------------------------------------------
# S=Y | real | Gaussian(mean=1.36842105263158,stddev=0.935836242984963)
# ---------+------+-----------------------------------------------------------
# S=N | real | Gaussian(mean=0.387096774193548,stddev=0.793363503758019)
# ---------+------+-----------------------------------------------------------
#
# '
# Looks like you failed 4 tests of 9.
Dubious, test returned 4 (wstat 1024, 0x400)
Failed 4/9 subtests
t/7......
# Failed test at t/7.t line 24.
# got: 'Model:
# category | P(category)
# ---------+-------------
# S=Y | 0.38
# S=N | 0.62
# ---------+-------------
#
# category | C | P( C | category )
# ---------+---+----------------------
# S=Y | N | 0.368421052631578947
# S=Y | Y | 0.631578947368421053
# ---------+---+----------------------
# S=N | N | 0.79032258064516129
# S=N | Y | 0.20967741935483871
# ---------+---+----------------------
#
# category | F | P( F | category )
# ---------+---+----------------------
# S=Y | 0 | 0.315789473684210526
# S=Y | 2 | 0.684210526315789474
# ---------+---+----------------------
# S=N | 0 | 0.806451612903225806
# S=N | 2 | 0.193548387096774194
# ---------+---+----------------------
#
# '
# expected: 'Model:
# category | P(category)
# ---------+-------------
# S=Y | 0.38
# S=N | 0.62
# ---------+-------------
#
# category | C | P( C | category )
# ---------+---+-------------------
# S=Y | N | 0.368421052631579
# S=Y | Y | 0.631578947368421
# ---------+---+-------------------
# S=N | N | 0.790322580645161
# S=N | Y | 0.209677419354839
# ---------+---+-------------------
#
# category | F | P( F | category )
# ---------+---+-------------------
# S=Y | 0 | 0.315789473684211
# S=Y | 2 | 0.684210526315789
# ---------+---+-------------------
# S=N | 0 | 0.806451612903226
# S=N | 2 | 0.193548387096774
# ---------+---+-------------------
#
# '
# Failed test at t/7.t line 32.
# got: 'Model:
# category | P(category)
# ---------+-------------
# S=Y | 0.38
# S=N | 0.62
# ---------+-------------
#
# category | C | P( C | category )
# ---------+---+----------------------
# S=Y | N | 0.368421052631578947
# S=Y | Y | 0.631578947368421053
# ---------+---+----------------------
# S=N | N | 0.79032258064516129
# S=N | Y | 0.20967741935483871
# ---------+---+----------------------
#
# category | F | P( F | category )
# ---------+---+----------------------
# S=Y | 0 | 0.315789473684210526
# S=Y | 2 | 0.684210526315789474
# ---------+---+----------------------
# S=N | 0 | 0.806451612903225806
# S=N | 2 | 0.193548387096774194
# ---------+---+----------------------
#
# '
# expected: 'Model:
# category | P(category)
# ---------+-------------
# S=Y | 0.38
# S=N | 0.62
# ---------+-------------
#
# category | C | P( C | category )
# ---------+---+-------------------
# S=Y | N | 0.368421052631579
# S=Y | Y | 0.631578947368421
# ---------+---+-------------------
# S=N | N | 0.790322580645161
# S=N | Y | 0.209677419354839
# ---------+---+-------------------
#
# category | F | P( F | category )
# ---------+---+-------------------
# S=Y | 0 | 0.315789473684211
# S=Y | 2 | 0.684210526315789
# ---------+---+-------------------
# S=N | 0 | 0.806451612903226
# S=N | 2 | 0.193548387096774
# ---------+---+-------------------
#
# '
# Failed test at t/7.t line 64.
# got: 'Model:
# category | P(category)
# ---------+-------------
# S=Y | 0.38
# S=N | 0.62
# ---------+-------------
#
# category | C | P( C | category )
# ---------+---+----------------------
# S=Y | N | 0.368421052631578947
# S=Y | Y | 0.631578947368421053
# ---------+---+----------------------
# S=N | N | 0.79032258064516129
# S=N | Y | 0.20967741935483871
# ---------+---+----------------------
#
# category | F | P( F | category )
# ---------+------+-----------------------------------------------------------------
# S=Y | real | Gaussian(mean=1.36842105263157895,stddev=0.935836242984962902)
# ---------+------+-----------------------------------------------------------------
# S=N | real | Gaussian(mean=0.387096774193548387,stddev=0.793363503758019253)
# ---------+------+-----------------------------------------------------------------
#
# '
# expected: 'Model:
# category | P(category)
# ---------+-------------
# S=Y | 0.38
# S=N | 0.62
# ---------+-------------
#
# category | C | P( C | category )
# ---------+---+-------------------
# S=Y | N | 0.368421052631579
# S=Y | Y | 0.631578947368421
# ---------+---+-------------------
# S=N | N | 0.790322580645161
# S=N | Y | 0.209677419354839
# ---------+---+-------------------
#
# category | F | P( F | category )
# ---------+------+-----------------------------------------------------------
# S=Y | real | Gaussian(mean=1.36842105263158,stddev=0.935836242984963)
# ---------+------+-----------------------------------------------------------
# S=N | real | Gaussian(mean=0.387096774193548,stddev=0.793363503758019)
# ---------+------+-----------------------------------------------------------
#
# '
# Failed test at t/7.t line 69.
# got: 'Model:
# category | P(category)
# ---------+-------------
# S=Y | 0.38
# S=N | 0.62
# ---------+-------------
#
# category | C | P( C | category )
# ---------+---+----------------------
# S=Y | N | 0.368421052631578947
# S=Y | Y | 0.631578947368421053
# ---------+---+----------------------
# S=N | N | 0.79032258064516129
# S=N | Y | 0.20967741935483871
# ---------+---+----------------------
#
# category | F | P( F | category )
# ---------+------+-----------------------------------------------------------------
# S=Y | real | Gaussian(mean=1.36842105263157895,stddev=0.935836242984962902)
# ---------+------+-----------------------------------------------------------------
# S=N | real | Gaussian(mean=0.387096774193548387,stddev=0.793363503758019253)
# ---------+------+-----------------------------------------------------------------
#
# '
# expected: 'Model:
# category | P(category)
# ---------+-------------
# S=Y | 0.38
# S=N | 0.62
# ---------+-------------
#
# category | C | P( C | category )
# ---------+---+-------------------
# S=Y | N | 0.368421052631579
# S=Y | Y | 0.631578947368421
# ---------+---+-------------------
# S=N | N | 0.790322580645161
# S=N | Y | 0.209677419354839
# ---------+---+-------------------
#
# category | F | P( F | category )
# ---------+------+-----------------------------------------------------------
# S=Y | real | Gaussian(mean=1.36842105263158,stddev=0.935836242984963)
# ---------+------+-----------------------------------------------------------
# S=N | real | Gaussian(mean=0.387096774193548,stddev=0.793363503758019)
# ---------+------+-----------------------------------------------------------
#
# '
# Failed test at t/7.t line 103.
# got: 'Model:
# category | P(category)
# ---------+----------------------
# Spam=Y | 0.46965699208443
# Spam=N | 0.53034300791556
# ---------+----------------------
#
# category | Caps | P( Caps | category )
# ---------+------+----------------------
# Spam=Y | N | 0.36516853932584
# Spam=Y | Y | 0.63483146067415
# ---------+------+----------------------
# Spam=N | N | 0.63681592039800
# Spam=N | Y | 0.36318407960199
# ---------+------+----------------------
#
# category | Free | P( Free | category )
# ---------+------+----------------------
# Spam=Y | N | 0.35955056179775
# Spam=Y | Y | 0.64044943820224
# ---------+------+----------------------
# Spam=N | N | 0.64676616915422
# Spam=N | Y | 0.35323383084577
# ---------+------+----------------------
#
# category | Html | P( Html | category )
# ---------+------+----------------------
# Spam=Y | N | 0.37640449438202
# Spam=Y | Y | 0.62359550561797
# ---------+------+----------------------
# Spam=N | N | 0.66666666666666
# Spam=N | Y | 0.33333333333333
# ---------+------+----------------------
#
# '
# expected: 'Model:
# category | P(category)
# ---------+-------------------
# Spam=Y | 0.46965699208443
# Spam=N | 0.53034300791556
# ---------+-------------------
#
# category | Caps | P( Caps | category )
# ---------+------+----------------------
# Spam=Y | N | 0.36516853932584
# Spam=Y | Y | 0.63483146067415
# ---------+------+----------------------
# Spam=N | N | 0.63681592039801
# Spam=N | Y | 0.36318407960199
# ---------+------+----------------------
#
# category | Free | P( Free | category )
# ---------+------+----------------------
# Spam=Y | N | 0.35955056179775
# Spam=Y | Y | 0.64044943820224
# ---------+------+----------------------
# Spam=N | N | 0.64676616915422
# Spam=N | Y | 0.35323383084577
# ---------+------+----------------------
#
# category | Html | P( Html | category )
# ---------+------+----------------------
# Spam=Y | N | 0.37640449438202
# Spam=Y | Y | 0.62359550561797
# ---------+------+----------------------
# Spam=N | N | 0.66666666666666
# Spam=N | Y | 0.33333333333333
# ---------+------+----------------------
#
# '
# Looks like you failed 5 tests of 12.
Dubious, test returned 5 (wstat 1280, 0x500)
Failed 5/12 subtests
t/8......ok
Test Summary Report
-------------------
t/1.t (Wstat: 768 Tests: 4 Failed: 3)
Failed tests: 2-4
Non-zero exit status: 3
t/2.t (Wstat: 768 Tests: 6 Failed: 3)
Failed tests: 2-4
Non-zero exit status: 3
t/3.t (Wstat: 768 Tests: 6 Failed: 3)
Failed tests: 2-4
Non-zero exit status: 3
t/4.t (Wstat: 768 Tests: 6 Failed: 3)
Failed tests: 2-4
Non-zero exit status: 3
t/5.t (Wstat: 768 Tests: 6 Failed: 3)
Failed tests: 2-4
Non-zero exit status: 3
t/6.t (Wstat: 1024 Tests: 9 Failed: 4)
Failed tests: 2-3, 6-7
Non-zero exit status: 4
t/7.t (Wstat: 1280 Tests: 12 Failed: 5)
Failed tests: 2-3, 6-7, 10
Non-zero exit status: 5
Files=8, Tests=51, 8 wallclock secs ( 0.21 usr 0.11 sys + 5.46 cusr 0.55 csys = 6.33 CPU)
Result: FAIL
Failed 7/8 test programs. 24/51 subtests failed.
make: *** [test_dynamic] Error 255
[MSG] [Mon Feb 4 09:30:03 2008] DEFAULT 'proceed_on_test_failure' HANDLER RETURNING 'sub return value'
PREREQUISITES:
Here is a list of prerequisites you specified and versions we
managed to load:
Module Name Have Want
YAML 0.66 0.0
******************************** NOTE ********************************
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checking by the sender. As there are many people performing automatic
tests on each upload to CPAN, it is likely that you will receive
identical messages about the same problem.
If you believe that the message is mistaken, please reply to the first
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Additional comments:
This report was machine-generated by CPAN::YACSmoke 0.0307. Powered by POE::Component::CPAN::YACSmoke.
------------------------------
ENVIRONMENT AND OTHER CONTEXT
------------------------------
Environment variables:
AUTOMATED_TESTING = 1
LANG = en_GB.UTF-8
PATH = /usr/local/bin:/bin:/usr/bin:/usr/X11/bin
PERL5LIB = :/home/cpan/blead/.cpanplus/5.11.0/build/YAML-0.66/blib/lib:/home/cpan/blead/.cpanplus/5.11.0/build/YAML-0.66/blib/arch:/home/cpan/blead/.cpanplus/5.11.0/build/YAML-0.66/blib:/home/cpan/blead/.cpanplus/5.11.0/build/YAML-0.66/blib/lib:/home/cpan/blead/.cpanplus/5.11.0/build/YAML-0.66/blib/arch:/home/cpan/blead/.cpanplus/5.11.0/build/YAML-0.66/blib:/home/cpan/blead/.cpanplus/5.11.0/build/AI-NaiveBayes1-1.5/blib/lib:/home/cpan/blead/.cpanplus/5.11.0/build/AI-NaiveBayes1-1.5/blib/arch:/home/cpan/blead/.cpanplus/5.11.0/build/AI-NaiveBayes1-1.5/blib
PERL5_CPANPLUS_IS_RUNNING = 12679
PERL5_CPANPLUS_IS_VERSION = 0.84
PERL_MM_USE_DEFAULT = 1
SHELL = /bin/bash
TERM = screen.linux
Perl special variables (and OS-specific diagnostics, for MSWin32):
Perl: $^X = /home/cpan/blead/bin/perl5.11.0
UID: $< = 1000
EUID: $> = 1000
GID: $( = 100 100
EGID: $) = 100 100
-------------------------------
--
Summary of my perl5 (revision 5 version 11 subversion 0 patch 33228) configuration:
Platform:
osname=linux, osvers=2.6.16.38, archname=i686-linux-thread-multi-64int-ld
uname='linux scratch 2.6.16.38 #1 preempt thu feb 22 16:04:10 gmt 2007 i686 athlon-4 i386 gnulinux '
config_args='-e -Dusedevel -Dprefix=/home/cpan/blead -Dusethreads -Duse64bitint -Dusemymalloc=n'
hint=recommended, useposix=true, d_sigaction=define
useithreads=define, usemultiplicity=define
useperlio=define, d_sfio=undef, uselargefiles=define, usesocks=undef
use64bitint=define, use64bitall=undef, uselongdouble=define
usemymalloc=n, bincompat5005=undef
Compiler:
cc='cc', ccflags ='-D_REENTRANT -D_GNU_SOURCE -fno-strict-aliasing -pipe -I/usr/local/include -D_LARGEFILE_SOURCE -D_FILE_OFFSET_BITS=64',
optimize='-O2',
cppflags='-D_REENTRANT -D_GNU_SOURCE -fno-strict-aliasing -pipe -I/usr/local/include'
ccversion='', gccversion='4.0.3', gccosandvers=''
intsize=4, longsize=4, ptrsize=4, doublesize=8, byteorder=12345678
d_longlong=define, longlongsize=8, d_longdbl=define, longdblsize=12
ivtype='long long', ivsize=8, nvtype='long double', nvsize=12, Off_t='off_t', lseeksize=8
alignbytes=4, prototype=define
Linker and Libraries:
ld='cc', ldflags =' -L/usr/local/lib'
libpth=/usr/local/lib /lib /usr/lib
libs=-lnsl -lgdbm -ldb -ldl -lm -lcrypt -lutil -lpthread -lc
perllibs=-lnsl -ldl -lm -lcrypt -lutil -lpthread -lc
libc=/lib/libc-2.3.6.so, so=so, useshrplib=false, libperl=libperl.a
gnulibc_version='2.3.6'
Dynamic Linking:
dlsrc=dl_dlopen.xs, dlext=so, d_dlsymun=undef, ccdlflags='-Wl,-E'
cccdlflags='-fPIC', lddlflags='-shared -O2 -L/usr/local/lib'
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