'make megatest' results for latest BillY WGET on AMD64/Linux
"Ger Hobbelt" <[email protected]>
| Newsgroups | gmane.mail.spam.crm114 |
|---|---|
| Message-ID | <[email protected]> |
Because I was checking what _should_ be the 'right' (=expected)
answers for FSCM on a 64-bit box, I ran vanilla CRM114 'make megatest'
striaght from WGET (only change: LDFLAGS commented out or the code
wouldn't build).
(This was a reference check as GerH has an overhauled VT code section
and a few other odds and ends; it helps to check the original once in
a while, especially when you have to update your own 'make check' test
set references :-) )
The results: some segfaults (including a somewhat surprising one in NN
which I have on the TODO list for investigation but never got to, and
the usual barfed balls in CLUMP/PMULC which I tend to ignore these
days):
Note the differences for FSCM in there, including those new funky
feature counts...
(reran the diff as a 'diff -u' so one gets a chance to see which
classifiers produce what differences...)
ger@Debbie:~/prj/1original/crm114/src/fscm1/crm114.sourceforge.net/src>
diff -u megatest_knowngood.log megatest_test_vanilla.log
--- megatest_knowngood.log 2008-06-20 17:01:35.000000000 +0200
+++ megatest_test_vanilla.log 2008-06-20 17:01:35.000000000 +0200
@@ -1,4 +1,4 @@
- This is CRM114, version 20080502-BlameJason (TRE 0.7.5 (LGPL))
+ This is CRM114, version 20080618-BlameBadGlasses (TRE 0.7.5 (LGPL))
Copyright 2001-2006 William S. Yerazunis
This software is licensed under the GPL with ABSOLUTELY NO WARRANTY
@@ -205,8 +205,8 @@
----- keeping a process around ----
preparing...
- OK_IF_PID_CHANGES: one... MINION PROC PID: 4558 from-pipe: 6 to-pipe: 5
- OK_IF_PID_SAME_AS_ABOVE: again... MINION PROC PID: 4558 from-pipe: 6
to-pipe: 5
+ OK_IF_PID_CHANGES: one... MINION PROC PID: 23494 from-pipe: 6 to-pipe: 5
+ OK_IF_PID_SAME_AS_ABOVE: again... MINION PROC PID: 23494 from-pipe:
6 to-pipe: 5
and done ...DEAD MINION, EXIT CODE: 0
exit value test got DEAD MINION, EXIT CODE: 123
CRM114: Testing union and intersection
@@ -543,37 +543,37 @@
error out, the test is passed. (we allocate about 80 megs,
well past the window size, but in small (400K) chunks that
alternately are allocated and become reclaimable)
-OK_IF_SIZE_CHANGES: Size of isolation at start: 2099029
-Bytes used per pass: 2097150
+OK_IF_SIZE_CHANGES: Size of isolation at start: 2072492
+Bytes used per pass: 2070606
Passes done: 100
-Total flux through isolation: 419430000
-OK_IF_SIZE_CHANGES: Final isolation size: 2099046
+Total flux through isolation: 414121200
+OK_IF_SIZE_CHANGES: Final isolation size: 2072509
OK_IF_LESS_THAN_100: Total growth: 17
Match-Isolate reclamation test. If this program doesn't
error out, the test is passed. (we allocate about 80 megs,
well past the window size, but in small (400K) chunks that
alternately are allocated and become reclaimable)
-OK_IF_SIZE_CHANGES: Size of isolation at start: 2101511
-Bytes used per pass: 2097150
+OK_IF_SIZE_CHANGES: Size of isolation at start: 2074974
+Bytes used per pass: 2070606
Passes done: 10
-Total flux through isolation: 41943000
-OK_IF_SIZE_CHANGES: Final isolation size: 2101526
+Total flux through isolation: 41412120
+OK_IF_SIZE_CHANGES: Final isolation size: 2074989
OK_IF_LESS_THAN_10: Total growth: 15
-Bytes used per pass: 2097150
+Bytes used per pass: 2070606
Passes done: 20
-Total flux through isolation: 83886000
-OK_IF_SIZE_CHANGES: Final isolation size: 2101532
+Total flux through isolation: 82824240
+OK_IF_SIZE_CHANGES: Final isolation size: 2074995
OK_IF_LESS_THAN_20: Total growth: 21
-Bytes used per pass: 2097150
+Bytes used per pass: 2070606
Passes done: 30
-Total flux through isolation: 125829000
-OK_IF_SIZE_CHANGES: Final isolation size: 2101533
+Total flux through isolation: 124236360
+OK_IF_SIZE_CHANGES: Final isolation size: 2074996
OK_IF_LESS_THAN_30: Total growth: 22
-Bytes used per pass: 2097150
+Bytes used per pass: 2070606
Passes done: 40
-Total flux through isolation: 167772000
-OK_IF_SIZE_CHANGES: Final isolation size: 2101533
+Total flux through isolation: 165648480
+OK_IF_SIZE_CHANGES: Final isolation size: 2074996
OK_IF_LESS_THAN_40: Total growth: 22
Starting
@@ -661,7 +661,7 @@
del-inv2: xyywxwxwxwzzww0y2z4w6x8yywxwwxyzwxyyywxzxzzwXYZZYwQUICKwBROWNwFOXwwxw
srcvar: FOO BAR ZAPPA 0123456789.,?`~!@#$%^&*()_-+= xyzzy quick brown fox A-E
src-dest: ULL YZI AZKKZ 0123456789.,?`~!@#$%^&*()_-+= cbaab jfrxp yildm ulc Z-V
-version: 20080502-BlameJason ( TRE 0.7.5 (LGPL) )
+version: 20080618-BlameBadGlasses ( TRE 0.7.5 (LGPL) )
noSpaces before: Are The Russian Involved ?
noSpaces after : AreTheRussianInvolved?
@@ -691,13 +691,13 @@
Best match to file #1 (q_test.css) prob: 1.0000 pR: 10.6507
Total features in input file: 176
#0 (i_test.css): features: 140946, hits: 693, prob: 2.24e-11, pR: -10.65
-#1 (q_test.css): features: 133586, hits: 5022, prob: 1.00e+00, pR: 10.65
+#1 (q_test.css): features: 133586, hits: 5022, prob: 1.00e-00, pR: 10.65
type I
CLASSIFY succeeds; success probability: 1.0000 pR: 10.2820
Best match to file #0 (i_test.css) prob: 1.0000 pR: 10.2820
Total features in input file: 160
-#0 (i_test.css): features: 140946, hits: 4571, prob: 1.00e+00, pR: 10.28
+#0 (i_test.css): features: 140946, hits: 4571, prob: 1.00e-00, pR: 10.28
#1 (q_test.css): features: 133586, hits: 552, prob: 5.22e-11, pR: -10.28
@@ -835,34 +835,34 @@
**** OSB Hyperspace classifier
type Q
-CLASSIFY fails; success probability: 0.0315 pR: -14.8787
-Best match to file #1 (q_test.css) prob: 0.9685 pR: 14.8787
+CLASSIFY fails; success probability: 0.0424 pR: -13.5394
+Best match to file #1 (q_test.css) prob: 0.9576 pR: 13.5394
Total features in input file: 43
-#0 (i_test.css): features: 29640, hits: 6, radiance: 1.21e-03, prob:
3.15e-02, pR: -14.88
-#1 (q_test.css): features: 27466, hits: 32, radiance: 3.73e-02, prob:
9.69e-01, pR: 14.88
+#0 (i_test.css): features: 29640, hits: 7, radiance: 1.65e-03, prob:
4.24e-02, pR: -13.54
+#1 (q_test.css): features: 27466, hits: 32, radiance: 3.73e-02, prob:
9.58e-01, pR: 13.54
type I
-CLASSIFY succeeds; success probability: 0.9799 pR: 16.8836
-Best match to file #0 (i_test.css) prob: 0.9799 pR: 16.8836
+CLASSIFY succeeds; success probability: 0.9878 pR: 19.0776
+Best match to file #0 (i_test.css) prob: 0.9878 pR: 19.0776
Total features in input file: 39
-#0 (i_test.css): features: 29640, hits: 29, radiance: 2.84e-02, prob:
9.80e-01, pR: 16.88
-#1 (q_test.css): features: 27466, hits: 4, radiance: 5.82e-04, prob:
2.01e-02, pR: -16.88
+#0 (i_test.css): features: 29640, hits: 28, radiance: 2.65e-02, prob:
9.88e-01, pR: 19.08
+#1 (q_test.css): features: 27466, hits: 3, radiance: 3.27e-04, prob:
1.22e-02, pR: -19.08
**** OSB three-letter Hyperspace classifier
type Q
-CLASSIFY fails; success probability: 0.1569 pR: -7.3023
-Best match to file #1 (q_test.css) prob: 0.8431 pR: 7.3023
+CLASSIFY fails; success probability: 0.1104 pR: -9.0616
+Best match to file #1 (q_test.css) prob: 0.8896 pR: 9.0616
Total features in input file: 91
-#0 (i_test.css): features: 60824, hits: 9, radiance: 1.33e-03, prob:
1.57e-01, pR: -7.30
-#1 (q_test.css): features: 61656, hits: 21, radiance: 7.15e-03, prob:
8.43e-01, pR: 7.30
+#0 (i_test.css): features: 60825, hits: 7, radiance: 8.05e-04, prob:
1.10e-01, pR: -9.06
+#1 (q_test.css): features: 61656, hits: 20, radiance: 6.48e-03, prob:
8.90e-01, pR: 9.06
type I
-CLASSIFY succeeds; success probability: 0.9713 pR: 15.3003
-Best match to file #0 (i_test.css) prob: 0.9713 pR: 15.3003
+CLASSIFY succeeds; success probability: 0.9772 pR: 16.3234
+Best match to file #0 (i_test.css) prob: 0.9772 pR: 16.3234
Total features in input file: 67
-#0 (i_test.css): features: 60824, hits: 52, radiance: 4.45e-02, prob:
9.71e-01, pR: 15.30
-#1 (q_test.css): features: 61656, hits: 9, radiance: 1.31e-03, prob:
2.87e-02, pR: -15.30
+#0 (i_test.css): features: 60825, hits: 52, radiance: 4.45e-02, prob:
9.77e-01, pR: 16.32
+#1 (q_test.css): features: 61656, hits: 8, radiance: 1.04e-03, prob:
2.28e-02, pR: -16.32
**** Unigram Hyperspace classifier
@@ -883,18 +883,18 @@
**** String Hyperspace classifier
type Q
-CLASSIFY fails; success probability: 0.0000 pR: -216.3477
-Best match to file #1 (q_test.css) prob: 1.0000 pR: 216.3477
+CLASSIFY fails; success probability: 0.0000 pR: -214.7631
+Best match to file #1 (q_test.css) prob: 1.0000 pR: 214.7631
Total features in input file: 10
-#0 (i_test.css): features: 8809, hits: 0, radiance: 0.00e+00, prob:
2.32e-22, pR: -216.35
-#1 (q_test.css): features: 8349, hits: 6, radiance: 4.31e-03, prob:
1.00e+00, pR: 216.35
+#0 (i_test.css): features: 8809, hits: 0, radiance: 0.00e+00, prob:
3.34e-22, pR: -214.76
+#1 (q_test.css): features: 8349, hits: 5, radiance: 2.99e-03, prob:
1.00e+00, pR: 214.76
type I
-CLASSIFY succeeds; success probability: 1.0000 pR: 214.5306
-Best match to file #0 (i_test.css) prob: 1.0000 pR: 214.5306
+CLASSIFY succeeds; success probability: 1.0000 pR: 212.5914
+Best match to file #0 (i_test.css) prob: 1.0000 pR: 212.5914
Total features in input file: 9
-#0 (i_test.css): features: 8809, hits: 5, radiance: 2.84e-03, prob:
1.00e+00, pR: 214.53
-#1 (q_test.css): features: 8349, hits: 0, radiance: 0.00e+00, prob:
3.52e-22, pR: -214.53
+#0 (i_test.css): features: 8809, hits: 4, radiance: 1.82e-03, prob:
1.00e+00, pR: 212.59
+#1 (q_test.css): features: 8349, hits: 0, radiance: 0.00e+00, prob:
5.51e-22, pR: -212.59
**** String Unigram Hyperspace classifier
@@ -922,11 +922,11 @@
#1 (q_test.css): features: 8349, hits: 7, radiance: 5.87e-03, prob:
1.00e+00, pR: 217.69
type I
-CLASSIFY succeeds; success probability: 1.0000 pR: 217.4552
-Best match to file #0 (i_test.css) prob: 1.0000 pR: 217.4552
+CLASSIFY succeeds; success probability: 1.0000 pR: 216.1152
+Best match to file #0 (i_test.css) prob: 1.0000 pR: 216.1152
Total features in input file: 9
-#0 (i_test.css): features: 8809, hits: 7, radiance: 5.57e-03, prob:
1.00e+00, pR: 217.46
-#1 (q_test.css): features: 8349, hits: 0, radiance: 0.00e+00, prob:
1.80e-22, pR: -217.46
+#0 (i_test.css): features: 8809, hits: 6, radiance: 4.09e-03, prob:
1.00e+00, pR: 216.12
+#1 (q_test.css): features: 8349, hits: 0, radiance: 0.00e+00, prob:
2.45e-22, pR: -216.12
**** Bit-Entropy classifier
@@ -935,108 +935,97 @@
Best match to file #1 (q_test.css) prob: 1.0000 pR: 6.5985
Total features in input file: 552
#0 (i_test.css): features: 425488 (5%), entropy: 384.969632, jumps:
23, prob: 2.52e-07, pR: -6.60
-#1 (q_test.css): features: 552504 (5%), entropy: 225.556532, jumps:
7, prob: 1.00e+00, pR: 6.60
+#1 (q_test.css): features: 552504 (5%), entropy: 225.556532, jumps:
7, prob: 1.00e-00, pR: 6.60
type I
CLASSIFY succeeds; success probability: 1.0000 pR: 5.3230
Best match to file #0 (i_test.css) prob: 1.0000 pR: 5.3230
Total features in input file: 408
-#0 (i_test.css): features: 425488 (5%), entropy: 138.295562, jumps:
4, prob: 1.00e+00, pR: 5.32
+#0 (i_test.css): features: 425488 (5%), entropy: 138.295562, jumps:
4, prob: 1.00e-00, pR: 5.32
#1 (q_test.css): features: 552504 (5%), entropy: 266.892513, jumps:
17, prob: 4.75e-06, pR: -5.32
**** Bit-Entropy Toroid classifier
type Q
-CLASSIFY fails; success probability: 0.0000 pR: -6.5308
-Best match to file #1 (q_test.css) prob: 1.0000 pR: 6.5308
+CLASSIFY fails; success probability: 0.0000 pR: -6.1596
+Best match to file #1 (q_test.css) prob: 1.0000 pR: 6.1596
Total features in input file: 552
-#0 (i_test.css): features: 425488 (100%), entropy: 459.942001, jumps:
26, prob: 2.95e-07, pR: -6.53
-#1 (q_test.css): features: 552504 (100%), entropy: 302.166313, jumps:
10, prob: 1.00e+00, pR: 6.53
+#0 (i_test.css): features: 425488 (100%), entropy: 459.942001, jumps:
26, prob: 6.92e-07, pR: -6.16
+#1 (q_test.css): features: 552504 (100%), entropy: 311.132097, jumps:
11, prob: 1.00e-00, pR: 6.16
type I
CLASSIFY succeeds; success probability: 1.0000 pR: 6.0927
Best match to file #0 (i_test.css) prob: 1.0000 pR: 6.0927
Total features in input file: 408
-#0 (i_test.css): features: 425488 (100%), entropy: 231.058285, jumps:
7, prob: 1.00e+00, pR: 6.09
+#0 (i_test.css): features: 425488 (100%), entropy: 231.058285, jumps:
7, prob: 1.00e-00, pR: 6.09
#1 (q_test.css): features: 552504 (100%), entropy: 378.250899, jumps:
21, prob: 8.08e-07, pR: -6.09
**** Fast Substring Compression Match Classifier
type Q
-CLASSIFY fails; success probability: 0.1820 pR: -6.5278
-Best match to file #1 (q_test.css) prob: 0.8180 pR: 6.5278
+CLASSIFY fails; success probability: 0.1793 pR: -6.6061
+Best match to file #1 (q_test.css) prob: 0.8207 pR: 6.6061
Total features in input file: 69
-#0 (i_test.css): features: 207541, compression: 114.56, prob:
1.82e-01, pR: -6.53
-#1 (q_test.css): features: 223418, compression: 515.00, prob:
8.18e-01, pR: 6.53
+#0 (i_test.css): features: 230365, compression: 112.73, prob:
1.79e-01, pR: -6.61
+#1 (q_test.css): features: 246242, compression: 516.00, prob:
8.21e-01, pR: 6.61
type I
-CLASSIFY succeeds; success probability: 0.8097 pR: 6.2878
-Best match to file #0 (i_test.css) prob: 0.8097 pR: 6.2878
+CLASSIFY succeeds; success probability: 0.7951 pR: 5.8889
+Best match to file #0 (i_test.css) prob: 0.7951 pR: 5.8889
Total features in input file: 51
-#0 (i_test.css): features: 207541, compression: 324.22, prob:
8.10e-01, pR: 6.29
-#1 (q_test.css): features: 223418, compression: 76.22, prob:
1.90e-01, pR: -6.29
+#0 (i_test.css): features: 230365, compression: 296.86, prob:
7.95e-01, pR: 5.89
+#1 (q_test.css): features: 246242, compression: 76.50, prob:
2.05e-01, pR: -5.89
**** Neural Network Classifier
+./megatest.sh: line 461: 23685 Segmentation fault ./crm114
'-{learn < neural append > (q_test.css) /[[:graph:]]+/}' <QUICKREF.txt
+./megatest.sh: line 462: 23686 Segmentation fault ./crm114
'-{learn < neural append > (i_test.css) /[[:graph:]]+/}' <INTRO.txt
+./megatest.sh: line 463: 23687 Segmentation fault ./crm114
'-{learn < neural refute fromstart > (q_test.css) }' <INTRO.txt
+./megatest.sh: line 464: 23688 Segmentation fault ./crm114
'-{learn < neural refute fromstart > (i_test.css) }' <QUICKREF.txt
type Q
-CLASSIFY fails; success probability: 0.324688 pR: -7.7780
-Best match to file #1 (q_test.css) prob: 0.6753 pR: 7.7780
+CLASSIFY fails; success probability: 0.500000 pR: 0.0000
+Best match to file #0 (i_test.css) prob: 0.5000 pR: 0.0000
Total features in input file: 268
-#0 (i_test.css): prob: 3.25e-01, pR: -7.78
-#1 (q_test.css): prob: 6.75e-01, pR: 7.78
+#0 (i_test.css): prob: 5.00e-01, pR: 0.00
+#1 (q_test.css): prob: 5.00e-01, pR: 0.00
- type I
-CLASSIFY succeeds; success probability: 0.521953 pR: 0.2195
-Best match to file #0 (i_test.css) prob: 0.5220 pR: 0.2195
+ type Q
+CLASSIFY fails; success probability: 0.500000 pR: 0.0000
+Best match to file #0 (i_test.css) prob: 0.5000 pR: 0.0000
Total features in input file: 372
-#0 (i_test.css): prob: 5.22e-01, pR: 0.22
-#1 (q_test.css): prob: 4.78e-01, pR: -0.22
+#0 (i_test.css): prob: 5.00e-01, pR: 0.00
+#1 (q_test.css): prob: 5.00e-01, pR: 0.00
Alternating Example Neural Network Classifier TRAINING
-
-**** Alternating Example Neural Network Classifier RUNNING TEST
- type Q
-CLASSIFY fails; success probability: 0.002674 pR: -297.3258
-Best match to file #1 (q_test.css) prob: 0.9973 pR: 297.3258
-Total features in input file: 195
-#0 (i_test.css): prob: 2.67e-03, pR: -297.33
-#1 (q_test.css): prob: 9.97e-01, pR: 297.33
-
- type I
-CLASSIFY succeeds; success probability: 0.924929 pR: 224.9285
-Best match to file #0 (i_test.css) prob: 0.9249 pR: 224.9285
-Total features in input file: 177
-#0 (i_test.css): prob: 9.25e-01, pR: 224.93
-#1 (q_test.css): prob: 7.51e-02, pR: -224.93
-
+./megatest.sh: line 492: 23693 Segmentation fault ./crm114
alternating_example_neural.crm
**** Support Vector Machine (SVM) unigram classifier
type I
-CLASSIFY succeeds; success probability: 0.8901 pR: 9.0844
-Best match to file #0 (i_test.css) prob: 0.8901 pR: 9.0844
+CLASSIFY succeeds; success probability: 0.8872 pR: 8.9571
+Best match to file #0 (i_test.css) prob: 0.8872 pR: 8.9571
Total features in input file: 11
-#0 (i_test.css): documents: 300, features: 7464, prob: 8.90e-01, pR: 9.08
-#1 (q_test.css): documents: 175, features: 6223, prob: 1.10e-01, pR: -9.08
+#0 (i_test.css): documents: 300, features: 7464, prob: 8.87e-01, pR: 8.96
+#1 (q_test.css): documents: 175, features: 6223, prob: 1.13e-01, pR: -8.96
type I
-CLASSIFY succeeds; success probability: 0.9947 pR: 22.7459
-Best match to file #0 (i_test.css) prob: 0.9947 pR: 22.7459
+CLASSIFY succeeds; success probability: 0.9947 pR: 22.7512
+Best match to file #0 (i_test.css) prob: 0.9947 pR: 22.7512
Total features in input file: 10
#0 (i_test.css): documents: 300, features: 7464, prob: 9.95e-01, pR: 22.75
-#1 (q_test.css): documents: 175, features: 6223, prob: 5.29e-03, pR: -22.75
+#1 (q_test.css): documents: 175, features: 6223, prob: 5.28e-03, pR: -22.75
**** Support Vector Machine (SVM) classifier
type I
-CLASSIFY succeeds; success probability: 0.8728 pR: 8.3639
-Best match to file #0 (i_test.css) prob: 0.8728 pR: 8.3639
+CLASSIFY succeeds; success probability: 0.8726 pR: 8.3572
+Best match to file #0 (i_test.css) prob: 0.8726 pR: 8.3572
Total features in input file: 44
#0 (i_test.css): documents: 300, features: 34780, prob: 8.73e-01, pR: 8.36
#1 (q_test.css): documents: 175, features: 32300, prob: 1.27e-01, pR: -8.36
type I
-CLASSIFY succeeds; success probability: 0.9678 pR: 14.7806
-Best match to file #0 (i_test.css) prob: 0.9678 pR: 14.7806
+CLASSIFY succeeds; success probability: 0.9678 pR: 14.7820
+Best match to file #0 (i_test.css) prob: 0.9678 pR: 14.7820
Total features in input file: 40
#0 (i_test.css): documents: 300, features: 34780, prob: 9.68e-01, pR: 14.78
#1 (q_test.css): documents: 175, features: 32300, prob: 3.22e-02, pR: -14.78
@@ -1044,15 +1033,15 @@
**** String Kernel SVM (SKS) classifier
type I
-CLASSIFY succeeds; success probability: 0.8755 pR: 8.4725
-Best match to file #0 (i_test.css) prob: 0.8755 pR: 8.4725
+CLASSIFY succeeds; success probability: 0.8756 pR: 8.4734
+Best match to file #0 (i_test.css) prob: 0.8756 pR: 8.4734
Total features in input file: 69
#0 (i_test.css):documents: 300, features: 52237, prob: 8.76e-01, pR: 8.47
#1 (q_test.css):documents: 175, features: 68204, prob: 1.24e-01, pR: -8.47
type I
-CLASSIFY succeeds; success probability: 0.9834 pR: 17.7226
-Best match to file #0 (i_test.css) prob: 0.9834 pR: 17.7226
+CLASSIFY succeeds; success probability: 0.9834 pR: 17.7222
+Best match to file #0 (i_test.css) prob: 0.9834 pR: 17.7222
Total features in input file: 51
#0 (i_test.css):documents: 300, features: 52237, prob: 9.83e-01, pR: 17.72
#1 (q_test.css):documents: 175, features: 68204, prob: 1.66e-02, pR: -17.72
@@ -1060,18 +1049,18 @@
**** String Kernel SVM (SKS) Unique classifier
type I
-CLASSIFY succeeds; success probability: 0.8890 pR: 9.0370
-Best match to file #0 (i_test.css) prob: 0.8890 pR: 9.0370
+CLASSIFY succeeds; success probability: 0.8889 pR: 9.0317
+Best match to file #0 (i_test.css) prob: 0.8889 pR: 9.0317
Total features in input file: 68
-#0 (i_test.css):documents: 300, features: 42397, prob: 8.89e-01, pR: 9.04
-#1 (q_test.css):documents: 175, features: 37599, prob: 1.11e-01, pR: -9.04
+#0 (i_test.css):documents: 300, features: 42397, prob: 8.89e-01, pR: 9.03
+#1 (q_test.css):documents: 175, features: 37599, prob: 1.11e-01, pR: -9.03
type I
-CLASSIFY succeeds; success probability: 0.9848 pR: 18.1080
-Best match to file #0 (i_test.css) prob: 0.9848 pR: 18.1080
+CLASSIFY succeeds; success probability: 0.9848 pR: 18.1012
+Best match to file #0 (i_test.css) prob: 0.9848 pR: 18.1012
Total features in input file: 49
-#0 (i_test.css):documents: 300, features: 42397, prob: 9.85e-01, pR: 18.11
-#1 (q_test.css):documents: 175, features: 37599, prob: 1.52e-02, pR: -18.11
+#0 (i_test.css):documents: 300, features: 42397, prob: 9.85e-01, pR: 18.10
+#1 (q_test.css):documents: 175, features: 37599, prob: 1.52e-02, pR: -18.10
**** Bytewise Correlation classifier
@@ -1086,101 +1075,55 @@
CLASSIFY succeeds; success probability: 1.0000 pR: 4.3436
Best match to file #0 (INTRO.txt) prob: 1.0000 pR: 4.3436
Total features in input file: 53186
-#0 (INTRO.txt): features: 53186, L1: 593131 L2: 3238253 L3:
344785845, l4: 52869796589 prob: 1.00e+00, pR: 4.34
+#0 (INTRO.txt): features: 53186, L1: 593131 L2: 3238253 L3:
344785845, l4: 52869796589 prob: 1.00e-00, pR: 4.34
#1 (QUICKREF.txt): features: 69063, L1: 1060543 L2: 1359260 L3:
1991862, l4: 4285688 prob: 4.53e-05, pR: -4.34
**** Clump / Pmulc Test
-...............................................................Likely result:
-PMULC succeeds; success probabilty: 1.0000 pR: 61.5681
-Best match to clump #8 (clump_#8) prob: 1.0000 pR: 61.5681
-Closest document: #46 (document_#46) affinity: 0.8233
+../megatest.sh: line 585: 23738 Segmentation fault ./crm114 '-{
match <fromend> (:one_paragraph:) /([[:graph:]]+.*?\n\n){5}/; clump
<bychunk> [:one_paragraph:] (i_test.css) /[[:graph:]]+/; output /./ ;
liaf}' <INTRO.txt
+..................Likely result:
+PMULC succeeds; success probabilty: 1.0000 pR: 66.5468
+Best match to clump #4 (clump_#4) prob: 1.0000 pR: 66.5468
+Closest document: #3 (document_#3) affinity: 0.8233
Total features in input file: 259
-1: (clump_#1): documents: 4 affinity: 0.1529 prob: 0.0000 pR: -70.0000
-2: (clump_#2): documents: 2 affinity: 0.0942 prob: 0.0000 pR: -70.0000
-3: (clump_#3): documents: 49 affinity: 0.1234 prob: 0.0000 pR: -70.0000
-4: (clump_#4): documents: 3 affinity: 0.1136 prob: 0.0000 pR: -70.0000
-5: (clump_#5): documents: 1 affinity: 0.1408 prob: 0.0000 pR: -70.0000
-6: (clump_#6): documents: 1 affinity: 0.1379 prob: 0.0000 pR: -70.0000
-7: (clump_#7): documents: 1 affinity: 0.0991 prob: 0.0000 pR: -70.0000
-8: (clump_#8): documents: 2 affinity: 0.5186 prob: 1.0000 pR: 61.5681
+1: (clump_#1): documents: 1 affinity: 0.0957 prob: 0.0000 pR: -70.0000
+2: (clump_#2): documents: 1 affinity: 0.0849 prob: 0.0000 pR: -70.0000
+3: (clump_#3): documents: 14 affinity: 0.1354 prob: 0.0000 pR: -70.0000
+4: (clump_#4): documents: 1 affinity: 0.8233 prob: 1.0000 pR: 66.5468
+5: (clump_#5): documents: 1 affinity: 0.0767 prob: 0.0000 pR: -70.0000
+6: (clump_#6): documents: 2 affinity: 0.1139 prob: 0.0000 pR: -70.0000
Likely result:
-PMULC succeeds; success probabilty: 1.0000 pR: 59.1777
-Best match to clump #2 (clump_#2) prob: 1.0000 pR: 59.1777
+PMULC succeeds; success probabilty: 1.0000 pR: 66.1885
+Best match to clump #2 (clump_#2) prob: 1.0000 pR: 66.1885
Closest document: #1 (document_#1) affinity: 0.7596
Total features in input file: 223
-1: (clump_#1): documents: 4 affinity: 0.1356 prob: 0.0000 pR: -70.0000
-2: (clump_#2): documents: 2 affinity: 0.4753 prob: 1.0000 pR: 59.1777
-3: (clump_#3): documents: 49 affinity: 0.1422 prob: 0.0000 pR: -70.0000
-4: (clump_#4): documents: 3 affinity: 0.1230 prob: 0.0000 pR: -70.0000
-5: (clump_#5): documents: 1 affinity: 0.1208 prob: 0.0000 pR: -70.0000
-6: (clump_#6): documents: 1 affinity: 0.1421 prob: 0.0000 pR: -70.0000
-7: (clump_#7): documents: 1 affinity: 0.1173 prob: 0.0000 pR: -70.0000
-8: (clump_#8): documents: 2 affinity: 0.0928 prob: 0.0000 pR: -70.0000
+1: (clump_#1): documents: 1 affinity: 0.0987 prob: 0.0000 pR: -70.0000
+2: (clump_#2): documents: 1 affinity: 0.7596 prob: 1.0000 pR: 66.1885
+3: (clump_#3): documents: 14 affinity: 0.1380 prob: 0.0000 pR: -70.0000
+4: (clump_#4): documents: 1 affinity: 0.0920 prob: 0.0000 pR: -70.0000
+5: (clump_#5): documents: 1 affinity: 0.1253 prob: 0.0000 pR: -70.0000
+6: (clump_#6): documents: 2 affinity: 0.1325 prob: 0.0000 pR: -70.0000
Likely result:
-0 (document_#0) clump: 1 (clump_#1) affinity: 0.1439
-1 (document_#1) clump: 2 (clump_#2) affinity: 0.0887
-2 (document_#2) clump: 3 (clump_#3) affinity: 0.1784
-3 (document_#3) clump: 4 (clump_#4) affinity: 0.1651
-4 (document_#4) clump: 4 (clump_#4) affinity: 0.1949
-5 (document_#5) clump: 4 (clump_#4) affinity: 0.2162
-6 (document_#6) clump: 3 (clump_#3) affinity: 0.1953
-7 (document_#7) clump: 1 (clump_#1) affinity: 0.1418
-8 (document_#8) clump: 1 (clump_#1) affinity: 0.1535
-9 (document_#9) clump: 1 (clump_#1) affinity: 0.1432
-10 (document_#10) clump: 3 (clump_#3) affinity: 0.1790
-11 (document_#11) clump: 3 (clump_#3) affinity: 0.1883
-12 (document_#12) clump: 3 (clump_#3) affinity: 0.2052
-13 (document_#13) clump: 3 (clump_#3) affinity: 0.1841
-14 (document_#14) clump: 3 (clump_#3) affinity: 0.2289
-15 (document_#15) clump: 3 (clump_#3) affinity: 0.1805
-16 (document_#16) clump: 3 (clump_#3) affinity: 0.1776
-17 (document_#17) clump: 3 (clump_#3) affinity: 0.1966
-18 (document_#18) clump: 2 (clump_#2) affinity: 0.0887
-19 (document_#19) clump: 3 (clump_#3) affinity: 0.1803
-20 (document_#20) clump: 3 (clump_#3) affinity: 0.2188
-21 (document_#21) clump: 3 (clump_#3) affinity: 0.2216
-22 (document_#22) clump: 3 (clump_#3) affinity: 0.2264
-23 (document_#23) clump: 3 (clump_#3) affinity: 0.1826
-24 (document_#24) clump: 3 (clump_#3) affinity: 0.2031
-25 (document_#25) clump: 3 (clump_#3) affinity: 0.1978
-26 (document_#26) clump: 3 (clump_#3) affinity: 0.1834
-27 (document_#27) clump: 3 (clump_#3) affinity: 0.2121
-28 (document_#28) clump: 3 (clump_#3) affinity: 0.1853
-29 (document_#29) clump: 3 (clump_#3) affinity: 0.1602
-30 (document_#30) clump: 3 (clump_#3) affinity: 0.1999
-31 (document_#31) clump: 3 (clump_#3) affinity: 0.2193
-32 (document_#32) clump: 3 (clump_#3) affinity: 0.2209
-33 (document_#33) clump: 3 (clump_#3) affinity: 0.1977
-34 (document_#34) clump: 5 (clump_#5) affinity: 0.0000
-35 (document_#35) clump: 6 (clump_#6) affinity: 0.0000
-36 (document_#36) clump: 3 (clump_#3) affinity: 0.1724
-37 (document_#37) clump: 3 (clump_#3) affinity: 0.1824
-38 (document_#38) clump: 3 (clump_#3) affinity: 0.1955
-39 (document_#39) clump: 3 (clump_#3) affinity: 0.1970
-40 (document_#40) clump: 3 (clump_#3) affinity: 0.1906
-41 (document_#41) clump: 3 (clump_#3) affinity: 0.1979
-42 (document_#42) clump: 3 (clump_#3) affinity: 0.1926
-43 (document_#43) clump: 3 (clump_#3) affinity: 0.1717
-44 (document_#44) clump: 7 (clump_#7) affinity: 0.0000
-45 (document_#45) clump: 3 (clump_#3) affinity: 0.1876
-46 (document_#46) clump: 8 (clump_#8) affinity: 0.1011
-47 (document_#47) clump: 8 (clump_#8) affinity: 0.1011
-48 (document_#48) clump: 3 (clump_#3) affinity: 0.1751
-49 (document_#49) clump: 3 (clump_#3) affinity: 0.1998
-50 (document_#50) clump: 3 (clump_#3) affinity: 0.1896
-51 (document_#51) clump: 3 (clump_#3) affinity: 0.1863
-52 (document_#52) clump: 3 (clump_#3) affinity: 0.2194
-53 (document_#53) clump: 3 (clump_#3) affinity: 0.2076
-54 (document_#54) clump: 3 (clump_#3) affinity: 0.2291
-55 (document_#55) clump: 3 (clump_#3) affinity: 0.2257
-56 (document_#56) clump: 3 (clump_#3) affinity: 0.2070
-57 (document_#57) clump: 3 (clump_#3) affinity: 0.1970
-58 (document_#58) clump: 3 (clump_#3) affinity: 0.2020
-59 (document_#59) clump: 3 (clump_#3) affinity: 0.2016
-60 (document_#60) clump: 3 (clump_#3) affinity: 0.1767
-61 (document_#61) clump: 3 (clump_#3) affinity: 0.1724
-62 (document_#62) clump: 3 (clump_#3) affinity: 0.1727
+0 (document_#0) clump: 1 (clump_#1) affinity: 0.0000
+1 (document_#1) clump: 2 (clump_#2) affinity: 0.0000
+2 (document_#2) clump: 3 (clump_#3) affinity: 0.1927
+3 (document_#3) clump: 4 (clump_#4) affinity: 0.0000
+4 (document_#4) clump: 3 (clump_#3) affinity: 0.1852
+5 (document_#5) clump: 3 (clump_#3) affinity: 0.1818
+6 (document_#6) clump: 3 (clump_#3) affinity: 0.2039
+7 (document_#7) clump: 3 (clump_#3) affinity: 0.1898
+8 (document_#8) clump: 3 (clump_#3) affinity: 0.2002
+9 (document_#9) clump: 3 (clump_#3) affinity: 0.2506
+10 (document_#10) clump: 3 (clump_#3) affinity: 0.2257
+11 (document_#11) clump: 3 (clump_#3) affinity: 0.2634
+12 (document_#12) clump: 3 (clump_#3) affinity: 0.2449
+13 (document_#13) clump: 3 (clump_#3) affinity: 0.2158
+14 (document_#14) clump: 3 (clump_#3) affinity: 0.1966
+15 (document_#15) clump: 3 (clump_#3) affinity: 0.2096
+16 (document_#16) clump: 3 (clump_#3) affinity: 0.1949
+17 (document_#17) clump: 5 (clump_#5) affinity: 0.0000
+18 (document_#18) clump: 6 (clump_#6) affinity: 0.1362
+19 (document_#19) clump: 6 (clump_#6) affinity: 0.1362
--
Met vriendelijke groeten / Best regards,
Ger Hobbelt
--------------------------------------------------
web: http://www.hobbelt.com/
http://www.hebbut.net/
mail: [email protected]
mobile: +31-6-11 120 978
--------------------------------------------------
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