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FAIL AI-NaiveBayes1-1.5 i686-linux-thread-multi-64int-ld 2.6.24-16-generic
From:
DAGOLDEN
Date:
July 1, 2008 15:29
Subject:
FAIL AI-NaiveBayes1-1.5 i686-linux-thread-multi-64int-ld 2.6.24-16-generic
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/
--
Dear Vlado Keselj,
This is a computer-generated report for AI-NaiveBayes1-1.5
on perl 5.8.8 patch 34066, created by CPAN-Reporter-1.1556.
Thank you for uploading your work to CPAN. However, there was a problem
testing your distribution.
If you think this report is invalid, please consult the CPAN Testers Wiki
for suggestions on how to avoid getting FAIL reports for missing library
or binary dependencies, unsupported operating systems, and so on:
http://cpantest.grango.org/wiki/CPANAuthorNotes
Sections of this report:
* Tester comments
* Program output
* Prerequisites
* Environment and other context
------------------------------
TESTER COMMENTS
------------------------------
Additional comments from tester:
this report is from an automated smoke testing program
and was not reviewed by a human for accuracy
------------------------------
PROGRAM OUTPUT
------------------------------
Output from '/usr/bin/make test':
PERL_DL_NONLAZY=1 /home/david/perl/5.8.x-threads/bin/perl "-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
#
[Output truncated after 50K]
------------------------------
PREREQUISITES
------------------------------
Prerequisite modules loaded:
requires:
Module Need Have
------ ---- ----
YAML 0.0 0.66
------------------------------
ENVIRONMENT AND OTHER CONTEXT
------------------------------
Environment variables:
AUTOMATED_TESTING = 1
LANG = en_US.UTF-8
LD_LIBRARY_PATH = /home/david/opt/subversion/lib
PATH = .:/home/david/bin:/home/david/git/utility-scripts:/home/david/perl/current/bin:.:/home/david/bin:/home/david/git/utility-scripts:/home/david/perl/current/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games
PERL5LIB =
PERL5OPT =
PERL5_CPANPLUS_IS_RUNNING = 13903
PERL5_CPAN_IS_RUNNING = 13903
PERL5_CPAN_IS_RUNNING_IN_RECURSION = 4238,13903
PERL_CR_SMOKER_CURRENT = AI-NaiveBayes1-1.5
PERL_MM_USE_DEFAULT = 1
SHELL = /bin/bash
TERM = screen
Perl special variables (and OS-specific diagnostics, for MSWin32):
$^X = /home/david/perl/5.8.x-threads/bin/perl
$UID/$EUID = 1000 / 1000
$GID = 1000 4 20 24 25 29 30 44 46 107 115 116 1000
$EGID = 1000 4 20 24 25 29 30 44 46 107 115 116 1000
Perl module toolchain versions installed:
Module Have
------------------- -------
CPAN 1.92_63
Cwd 3.2701
ExtUtils::CBuilder 0.23
ExtUtils::Command 1.14
ExtUtils::Install 1.50_01
ExtUtils::MakeMaker 6.44
ExtUtils::Manifest 1.51_01
ExtUtils::ParseXS 2.19
File::Spec 3.2701
Module::Build 0.2808
Module::Signature n/a
Test::Harness 3.12
Test::More 0.80
YAML 0.66
YAML::Syck 1.05
version n/a
--
Summary of my perl5 (revision 5 version 8 subversion 8 patch 34066) configuration:
Platform:
osname=linux, osvers=2.6.24-16-generic, archname=i686-linux-thread-multi-64int-ld
uname='linux manticore 2.6.24-16-generic #1 smp thu apr 10 13:23:42 utc 2008 i686 gnulinux '
config_args='-de -Uversiononly -Dusedevel -Dusemorebits -Dprefix=/home/david/perl/5.8.x-threads -Dmydomain=.hyperbolic.net -Dcf_email=dagolden@cpan.org -Dperladmin=dagolden@cpan.org -Dcc=gcc -Dusethreads'
hint=recommended, useposix=true, d_sigaction=define
usethreads=define use5005threads=undef 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='gcc', ccflags ='-D_REENTRANT -D_GNU_SOURCE -DTHREADS_HAVE_PIDS -fno-strict-aliasing -pipe -I/usr/local/include -D_LARGEFILE_SOURCE -D_FILE_OFFSET_BITS=64',
optimize='-O2',
cppflags='-D_REENTRANT -D_GNU_SOURCE -DTHREADS_HAVE_PIDS -fno-strict-aliasing -pipe -I/usr/local/include'
ccversion='', gccversion='4.2.3 (Ubuntu 4.2.3-2ubuntu7)', 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='gcc', ldflags =' -L/usr/local/lib'
libpth=/usr/local/lib /lib /usr/lib
libs=-lnsl -ldb -ldl -lm -lcrypt -lutil -lpthread -lc
perllibs=-lnsl -ldl -lm -lcrypt -lutil -lpthread -lc
libc=/lib/libc-2.7.so, so=so, useshrplib=false, libperl=libperl.a
gnulibc_version='2.7'
Dynamic Linking:
dlsrc=dl_dlopen.xs, dlext=so, d_dlsymun=undef, ccdlflags='-Wl,-E'
cccdlflags='-fPIC', lddlflags='-shared -O2 -L/usr/local/lib'
-
FAIL AI-NaiveBayes1-1.5 i686-linux-thread-multi-64int-ld 2.6.24-16-generic
by DAGOLDEN