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bug61.ok
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TiMBL 6.4.14 (c) CLST/ILK/CLIPS 1998 - 2019.
Tilburg Memory Based Learner
Centre for Language and Speech Technology, Radboud University
Induction of Linguistic Knowledge Research Group, Tilburg University
CLiPS Computational Linguistics Group, University of Antwerp
Mon Sep 2 15:22:47 2019
Examine datafile './tests/oneclass.train1' gave the following results:
Number of Features: 8
InputFormat : C4.5
Phase 1: Reading Datafile: ./tests/oneclass.train1
Start: 0 @ Mon Sep 2 15:22:47 2019
Finished: 19 @ Mon Sep 2 15:22:47 2019
Calculating Entropy Mon Sep 2 15:22:47 2019
Lines of data : 19
DB Entropy : 0.0000000
Number of Classes : 1
Feats Vals InfoGain GainRatio
1 18 0.0000000 0.0000000
2 18 0.0000000 0.0000000
3 17 0.0000000 0.0000000
4 16 0.0000000 0.0000000
5 10 0.0000000 0.0000000
6 9 0.0000000 0.0000000
7 11 0.0000000 0.0000000
8 12 0.0000000 0.0000000
Preparation took 0 seconds, 0 milliseconds and 268 microseconds
Warning: Training file contains only 1 class.
Feature Permutation based on GainRatio/Values :
< 1, 2, 3, 4, 5, 6, 7, 8 >
Phase 2: Building multi index on Datafile: ./tests/oneclass.train1
Start: 0 @ Mon Sep 2 15:22:47 2019
Finished: 19 @ Mon Sep 2 15:22:47 2019
Phase 3: Learning from Datafile: ./tests/oneclass.train1
Start: 0 @ Mon Sep 2 15:22:47 2019
Finished: 19 @ Mon Sep 2 15:22:47 2019
Size of InstanceBase = 170 Nodes, (6800 bytes), 0.58 % compression
Learning took 0 seconds, 0 milliseconds and 267 microseconds
Examine datafile './tests/klein.test' gave the following results:
Number of Features: 8
InputFormat : C4.5
Starting to test, Testfile: ./tests/klein.test
Writing output in: ./tests/klein.test.IB1.O.gr.k1.out
Algorithm : IB1
Global metric : Overlap
Deviant Feature Metrics:(none)
Weighting : GainRatio
Feature 1 : 0.000000000000000
Feature 2 : 0.000000000000000
Feature 3 : 0.000000000000000
Feature 4 : 0.000000000000000
Feature 5 : 0.000000000000000
Feature 6 : 0.000000000000000
Feature 7 : 0.000000000000000
Feature 8 : 0.000000000000000
Tested: 1 @ Mon Sep 2 15:22:47 2019
Tested: 2 @ Mon Sep 2 15:22:47 2019
Tested: 3 @ Mon Sep 2 15:22:47 2019
Tested: 4 @ Mon Sep 2 15:22:47 2019
Tested: 5 @ Mon Sep 2 15:22:47 2019
Tested: 6 @ Mon Sep 2 15:22:47 2019
Tested: 7 @ Mon Sep 2 15:22:47 2019
Tested: 8 @ Mon Sep 2 15:22:47 2019
Tested: 9 @ Mon Sep 2 15:22:47 2019
Tested: 10 @ Mon Sep 2 15:22:47 2019
Ready: 50 @ Mon Sep 2 15:22:47 2019
Seconds taken: 0.0007 (70921.99 p/s)
overall accuracy: 0.600000 (30/50), of which 50 exact matches
TiMBL 6.4.14 (c) CLST/ILK/CLIPS 1998 - 2019.
Tilburg Memory Based Learner
Centre for Language and Speech Technology, Radboud University
Induction of Linguistic Knowledge Research Group, Tilburg University
CLiPS Computational Linguistics Group, University of Antwerp
Mon Sep 2 15:22:47 2019
Examine datafile './tests/oneclass.train2' gave the following results:
Number of Features: 8
InputFormat : C4.5
Phase 1: Reading Datafile: ./tests/oneclass.train2
Start: 0 @ Mon Sep 2 15:22:47 2019
Finished: 18 @ Mon Sep 2 15:22:47 2019
Calculating Entropy Mon Sep 2 15:22:47 2019
Lines of data : 18
DB Entropy : 0.0000000
Number of Classes : 1
Feats Vals InfoGain GainRatio
1 15 0.0000000 0.0000000
2 13 0.0000000 0.0000000
3 14 0.0000000 0.0000000
4 17 0.0000000 0.0000000
5 9 0.0000000 0.0000000
6 9 0.0000000 0.0000000
7 10 0.0000000 0.0000000
8 11 0.0000000 0.0000000
Preparation took 0 seconds, 0 milliseconds and 189 microseconds
Warning: Training file contains only 1 class.
Feature Permutation based on GainRatio :
< 1, 2, 3, 4, 5, 6, 7, 8 >
Phase 2: Building multi index on Datafile: ./tests/oneclass.train2
Start: 0 @ Mon Sep 2 15:22:47 2019
Finished: 18 @ Mon Sep 2 15:22:47 2019
Phase 3: Learning from Datafile: ./tests/oneclass.train2
Start: 0 @ Mon Sep 2 15:22:47 2019
Finished: 18 @ Mon Sep 2 15:22:47 2019
Size of InstanceBase = 0 Nodes, (0 bytes), 100.00 % compression
Learning took 0 seconds, 0 milliseconds and 294 microseconds
Examine datafile './tests/klein.test' gave the following results:
Number of Features: 8
InputFormat : C4.5
Starting to test, Testfile: ./tests/klein.test
Writing output in: ./tests/klein.test.IGTree.gr.out
Algorithm : IGTree
Weighting : GainRatio
Feature 1 : 0.000000000000000
Feature 2 : 0.000000000000000
Feature 3 : 0.000000000000000
Feature 4 : 0.000000000000000
Feature 5 : 0.000000000000000
Feature 6 : 0.000000000000000
Feature 7 : 0.000000000000000
Feature 8 : 0.000000000000000
Tested: 1 @ Mon Sep 2 15:22:47 2019
Tested: 2 @ Mon Sep 2 15:22:47 2019
Tested: 3 @ Mon Sep 2 15:22:47 2019
Tested: 4 @ Mon Sep 2 15:22:47 2019
Tested: 5 @ Mon Sep 2 15:22:47 2019
Tested: 6 @ Mon Sep 2 15:22:47 2019
Tested: 7 @ Mon Sep 2 15:22:47 2019
Tested: 8 @ Mon Sep 2 15:22:47 2019
Tested: 9 @ Mon Sep 2 15:22:47 2019
Tested: 10 @ Mon Sep 2 15:22:47 2019
Ready: 50 @ Mon Sep 2 15:22:47 2019
Seconds taken: 0.0003 (179211.47 p/s)
overall accuracy: 0.360000 (18/50)
TiMBL 6.4.14 (c) CLST/ILK/CLIPS 1998 - 2019.
Tilburg Memory Based Learner
Centre for Language and Speech Technology, Radboud University
Induction of Linguistic Knowledge Research Group, Tilburg University
CLiPS Computational Linguistics Group, University of Antwerp
Mon Sep 2 15:22:47 2019
Examine datafile './tests/oneclass.train3' gave the following results:
Number of Features: 8
InputFormat : C4.5
Phase 1: Reading Datafile: ./tests/oneclass.train3
Start: 0 @ Mon Sep 2 15:22:47 2019
Finished: 19 @ Mon Sep 2 15:22:47 2019
Calculating Entropy Mon Sep 2 15:22:47 2019
Lines of data : 19
DB Entropy : 0.0000000
Number of Classes : 1
Feats Vals InfoGain GainRatio
1 18 0.0000000 0.0000000
2 17 0.0000000 0.0000000
3 18 0.0000000 0.0000000
4 18 0.0000000 0.0000000
5 14 0.0000000 0.0000000
6 14 0.0000000 0.0000000
7 12 0.0000000 0.0000000
8 12 0.0000000 0.0000000
Preparation took 0 seconds, 0 milliseconds and 188 microseconds
Feature Permutation based on GainRatio/Values :
< 1, 2, 3, 4, 5, 6, 7, 8 >
Phase 2: Learning from Datafile: ./tests/oneclass.train3
Start: 0 @ Mon Sep 2 15:22:47 2019
Finished: 5 @ Mon Sep 2 15:22:47 2019
Size of InstanceBase = 45 Nodes, (1800 bytes), 0.00 % compression
Learning took 0 seconds, 0 milliseconds and 58 microseconds
Phase 2: Appending from Datafile: ./tests/oneclass.train3 (starting at line 6)
Start: 6 @ Mon Sep 2 15:22:47 2019
Learning: 5 @ Mon Sep 2 15:22:47 2019 added:0
Learning: 6 @ Mon Sep 2 15:22:47 2019 added:0
Learning: 7 @ Mon Sep 2 15:22:47 2019 added:0
Learning: 8 @ Mon Sep 2 15:22:47 2019 added:0
Learning: 9 @ Mon Sep 2 15:22:47 2019 added:0
Learning: 10 @ Mon Sep 2 15:22:47 2019 added:0
Learning: 11 @ Mon Sep 2 15:22:47 2019 added:0
Learning: 12 @ Mon Sep 2 15:22:47 2019 added:0
Learning: 13 @ Mon Sep 2 15:22:47 2019 added:0
Finished: 13 @ Mon Sep 2 15:22:47 2019
in total added 0 new entries
Size of InstanceBase = 45 Nodes, (1800 bytes), 0.00 % compression
DB Entropy : 0.00000000
Number of Classes : 1
Feats Vals InfoGain GainRatio
1 18 0.00000000 0.00000000
2 17 0.00000000 0.00000000
3 18 0.00000000 0.00000000
4 18 0.00000000 0.00000000
5 14 0.00000000 0.00000000
6 14 0.00000000 0.00000000
7 12 0.00000000 0.00000000
8 12 0.00000000 0.00000000
Examine datafile './tests/klein.test' gave the following results:
Number of Features: 8
InputFormat : C4.5
Starting to test, Testfile: ./tests/klein.test
Writing output in: ./tests/klein.test.IB2.O.gr.k1.out
Algorithm : IB2
Global metric : Overlap
Deviant Feature Metrics:(none)
Weighting : GainRatio
Feature 1 : 0.000000000000000
Feature 2 : 0.000000000000000
Feature 3 : 0.000000000000000
Feature 4 : 0.000000000000000
Feature 5 : 0.000000000000000
Feature 6 : 0.000000000000000
Feature 7 : 0.000000000000000
Feature 8 : 0.000000000000000
Tested: 1 @ Mon Sep 2 15:22:47 2019
Tested: 2 @ Mon Sep 2 15:22:47 2019
Tested: 3 @ Mon Sep 2 15:22:47 2019
Tested: 4 @ Mon Sep 2 15:22:47 2019
Tested: 5 @ Mon Sep 2 15:22:47 2019
Tested: 6 @ Mon Sep 2 15:22:47 2019
Tested: 7 @ Mon Sep 2 15:22:47 2019
Tested: 8 @ Mon Sep 2 15:22:47 2019
Tested: 9 @ Mon Sep 2 15:22:47 2019
Tested: 10 @ Mon Sep 2 15:22:47 2019
Ready: 50 @ Mon Sep 2 15:22:47 2019
Seconds taken: 0.0005 (100401.61 p/s)
overall accuracy: 0.040000 (2/50), of which 50 exact matches
TiMBL 6.4.14 (c) CLST/ILK/CLIPS 1998 - 2019.
Tilburg Memory Based Learner
Centre for Language and Speech Technology, Radboud University
Induction of Linguistic Knowledge Research Group, Tilburg University
CLiPS Computational Linguistics Group, University of Antwerp
Mon Sep 2 15:22:47 2019
Starting Cross validation test on files:
tests/oneclass.train1
tests/oneclass.train2
tests/oneclass.train3
Examine datafile 'tests/oneclass.train1' gave the following results:
Number of Features: 8
InputFormat : C4.5
DB Entropy : 0.99947302
Number of Classes : 2
Feats Vals InfoGain GainRatio
1 30 0.78325680 0.16396344
2 28 0.87096255 0.18601717
3 30 0.87096255 0.18104798
4 33 0.87096255 0.17514407
5 16 0.36024371 0.096875944
6 18 0.63704303 0.16037107
7 15 0.33042201 0.091756337
8 16 0.38177699 0.10116531
Starting to test, Testfile: tests/oneclass.train1
Writing output in: tests/oneclass.train1.cv
Algorithm : CV
Global metric : Overlap
Deviant Feature Metrics:(none)
Weighting : GainRatio
Feature 1 : 0.163963443937780
Feature 2 : 0.186017168859804
Feature 3 : 0.181047977181452
Feature 4 : 0.175144074738040
Feature 5 : 0.0968759440840052
Feature 6 : 0.160371071031225
Feature 7 : 0.0917563365986120
Feature 8 : 0.101165311546607
Tested: 1 @ Mon Sep 2 15:22:47 2019
Tested: 2 @ Mon Sep 2 15:22:47 2019
Tested: 3 @ Mon Sep 2 15:22:47 2019
Tested: 4 @ Mon Sep 2 15:22:47 2019
Tested: 5 @ Mon Sep 2 15:22:47 2019
Tested: 6 @ Mon Sep 2 15:22:47 2019
Tested: 7 @ Mon Sep 2 15:22:47 2019
Tested: 8 @ Mon Sep 2 15:22:47 2019
Tested: 9 @ Mon Sep 2 15:22:47 2019
Tested: 10 @ Mon Sep 2 15:22:47 2019
Ready: 19 @ Mon Sep 2 15:22:47 2019
Seconds taken: 0.0004 (47738.69 p/s)
overall accuracy: 0.000000 (0/19)
There were 2 ties of which 0 (0.00%) were correctly resolved
Examine datafile 'tests/oneclass.train2' gave the following results:
Number of Features: 8
InputFormat : C4.5
DB Entropy : 1.00000000
Number of Classes : 2
Feats Vals InfoGain GainRatio
1 35 0.94736842 0.18612226
2 35 1.00000000 0.19646239
3 34 0.94736842 0.18806690
4 33 0.94736842 0.19081303
5 18 0.47436399 0.12184778
6 19 0.58921999 0.15398593
7 19 0.67461768 0.16832018
8 18 0.54618125 0.13730720
Starting to test, Testfile: tests/oneclass.train2
Writing output in: tests/oneclass.train2.cv
Algorithm : CV
Global metric : Overlap
Deviant Feature Metrics:(none)
Weighting : GainRatio
Feature 1 : 0.186122263378660
Feature 2 : 0.196462389121919
Feature 3 : 0.188066898759983
Feature 4 : 0.190813033017478
Feature 5 : 0.121847778068856
Feature 6 : 0.153985926443700
Feature 7 : 0.168320183795545
Feature 8 : 0.137307202171698
Tested: 1 @ Mon Sep 2 15:22:47 2019
Tested: 2 @ Mon Sep 2 15:22:47 2019
Tested: 3 @ Mon Sep 2 15:22:47 2019
Tested: 4 @ Mon Sep 2 15:22:47 2019
Tested: 5 @ Mon Sep 2 15:22:47 2019
Tested: 6 @ Mon Sep 2 15:22:47 2019
Tested: 7 @ Mon Sep 2 15:22:47 2019
Tested: 8 @ Mon Sep 2 15:22:47 2019
Tested: 9 @ Mon Sep 2 15:22:47 2019
Tested: 10 @ Mon Sep 2 15:22:47 2019
Ready: 18 @ Mon Sep 2 15:22:47 2019
Seconds taken: 0.0003 (52631.58 p/s)
overall accuracy: 0.000000 (0/18)
Examine datafile 'tests/oneclass.train3' gave the following results:
Number of Features: 8
InputFormat : C4.5
DB Entropy : 0.99947302
Number of Classes : 2
Feats Vals InfoGain GainRatio
1 31 0.89136491 0.18246497
2 30 0.92501660 0.19310322
3 29 0.83731086 0.17728493
4 29 0.70610132 0.15089366
5 16 0.63051398 0.16955643
6 17 0.92501660 0.24583130
7 18 0.68839802 0.17536992
8 15 0.30732057 0.08400105
Starting to test, Testfile: tests/oneclass.train3
Writing output in: tests/oneclass.train3.cv
Algorithm : CV
Global metric : Overlap
Deviant Feature Metrics:(none)
Weighting : GainRatio
Feature 1 : 0.182464967566103
Feature 2 : 0.193103217877713
Feature 3 : 0.177284931156631
Feature 4 : 0.150893661468951
Feature 5 : 0.169556429042693
Feature 6 : 0.245831303637858
Feature 7 : 0.175369917557424
Feature 8 : 0.084001054645562
Tested: 1 @ Mon Sep 2 15:22:47 2019
Tested: 2 @ Mon Sep 2 15:22:47 2019
Tested: 3 @ Mon Sep 2 15:22:47 2019
Tested: 4 @ Mon Sep 2 15:22:47 2019
Tested: 5 @ Mon Sep 2 15:22:47 2019
Tested: 6 @ Mon Sep 2 15:22:47 2019
Tested: 7 @ Mon Sep 2 15:22:47 2019
Tested: 8 @ Mon Sep 2 15:22:47 2019
Tested: 9 @ Mon Sep 2 15:22:47 2019
Tested: 10 @ Mon Sep 2 15:22:47 2019
Ready: 19 @ Mon Sep 2 15:22:47 2019
Seconds taken: 0.0004 (53370.79 p/s)
overall accuracy: 0.000000 (0/19)
There was 1 tie of which 0 (0.00%) was correctly resolved