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bug28.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 15:22:38 2019
Examine datafile 'tests/bug28.train' gave the following results:
Number of Features: 3
InputFormat : C4.5
Phase 1: Reading Datafile: tests/bug28.train
Start: 0 @ Mon Sep 2 15:22:38 2019
Finished: 9 @ Mon Sep 2 15:22:38 2019
Calculating Entropy Mon Sep 2 15:22:38 2019
Lines of data : 9
DB Entropy : 0.91829583
Number of Classes : 2
Feats Vals InfoGain GainRatio
1 (ignored)
2 7 0.47385139 0.17385976
3 4 0.30609861 0.16186606
Preparation took 0 seconds, 0 milliseconds and 106 microseconds
Feature Permutation based on GainRatio/Values :
< 3, 2, 1 >
Phase 2: Building multi index on Datafile: tests/bug28.train
Start: 0 @ Mon Sep 2 15:22:38 2019
Finished: 9 @ Mon Sep 2 15:22:38 2019
Phase 3: Learning from Datafile: tests/bug28.train
Start: 0 @ Mon Sep 2 15:22:38 2019
Finished: 9 @ Mon Sep 2 15:22:38 2019
Size of InstanceBase = 18 Nodes, (720 bytes), 14.29 % compression
Learning took 0 seconds, 0 milliseconds and 109 microseconds
Writing Instance-Base in: tree
Saving Matrices in bug28.mat1
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 15:22:38 2019
Reading Instance-Base from: tree
Size of InstanceBase = 18 Nodes, (720 bytes), 14.29 % compression
Feature Permutation based on Data File Ordering :
< 3, 2, 1 >
Reading matrices from bug28.mat1
read ValueMatrix for feature 3
Examine datafile 'tests/bug28.test' gave the following results:
Number of Features: 3
InputFormat : C4.5
Starting to test, Testfile: tests/bug28.test
Writing output in: bug28.out
Algorithm : IB1
Global metric : Overlap
Deviant Feature Metrics:
Feature[3] : Value Difference (User Defined)
Size of value-matrix[3] = 240 Bytes
Total Size of value-matrices 240 Bytes
Ignored features : { 1 }
Weighting : GainRatio
Feature 1 : 0.000000000000000
Feature 2 : 0.173859757830008
Feature 3 : 0.161866059958266
Tested: 1 @ Mon Sep 2 15:22:38 2019
Tested: 2 @ Mon Sep 2 15:22:38 2019
Tested: 3 @ Mon Sep 2 15:22:38 2019
Tested: 4 @ Mon Sep 2 15:22:38 2019
Tested: 5 @ Mon Sep 2 15:22:38 2019
Tested: 6 @ Mon Sep 2 15:22:38 2019
Ready: 6 @ Mon Sep 2 15:22:38 2019
Seconds taken: 0.0002 (25000.00 p/s)
overall accuracy: 0.666667 (4/6), of which 5 exact matches
There were 2 ties of which 1 (50.00%) were correctly resolved
Saving Matrices in bug28.mat2
test,van,bug 29,+,- 0.33572581778827
dit,was,],-,- 0.0000000000000
dit,was,],+,- 0.0000000000000
en,dit,[,-,- 0.0000000000000
en,deze,[,-,- 0.0000000000000
en,dat,een tab,-,- 0.0000000000000
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 15:22:38 2019
Examine datafile 'tests/bug28.col.train' gave the following results:
Number of Features: 3
InputFormat : Columns
Phase 1: Reading Datafile: tests/bug28.col.train
Start: 0 @ Mon Sep 2 15:22:38 2019
Finished: 7 @ Mon Sep 2 15:22:38 2019
Calculating Entropy Mon Sep 2 15:22:38 2019
Lines of data : 7
DB Entropy : 0.98522814
Number of Classes : 2
Feats Vals InfoGain GainRatio
1 (ignored)
2 6 0.98522814 0.39070918
3 4 0.12808528 0.065677616
Preparation took 0 seconds, 0 milliseconds and 129 microseconds
Feature Permutation based on GainRatio/Values :
< 2, 3, 1 >
Phase 2: Building multi index on Datafile: tests/bug28.col.train
Start: 0 @ Mon Sep 2 15:22:38 2019
Finished: 7 @ Mon Sep 2 15:22:38 2019
Phase 3: Learning from Datafile: tests/bug28.col.train
Start: 0 @ Mon Sep 2 15:22:38 2019
Finished: 7 @ Mon Sep 2 15:22:38 2019
Size of InstanceBase = 20 Nodes, (800 bytes), 4.76 % compression
Learning took 0 seconds, 0 milliseconds and 132 microseconds
Writing Instance-Base in: tree
Saving Matrices in bug28.mat3
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 15:22:38 2019
Reading Instance-Base from: tree
Size of InstanceBase = 20 Nodes, (800 bytes), 4.76 % compression
Feature Permutation based on Data File Ordering :
< 2, 3, 1 >
Reading matrices from bug28.mat3
read ValueMatrix for feature 3
Examine datafile 'tests/bug28.col.test' gave the following results:
Number of Features: 3
InputFormat : Columns
Starting to test, Testfile: tests/bug28.col.test
Writing output in: bug28.out
Algorithm : IB1
Global metric : Overlap
Deviant Feature Metrics:
Feature[3] : Value Difference (User Defined)
Size of value-matrix[3] = 240 Bytes
Total Size of value-matrices 240 Bytes
Ignored features : { 1 }
Weighting : GainRatio
Feature 1 : 0.000000000000000
Feature 2 : 0.390709176333290
Feature 3 : 0.065677615883785
Tested: 1 @ Mon Sep 2 15:22:38 2019
Tested: 2 @ Mon Sep 2 15:22:38 2019
Tested: 3 @ Mon Sep 2 15:22:38 2019
Tested: 4 @ Mon Sep 2 15:22:38 2019
Ready: 4 @ Mon Sep 2 15:22:38 2019
Seconds taken: 0.0001 (31496.06 p/s)
overall accuracy: 0.750000 (3/4), of which 1 exact matches
There was 1 tie of which 1 (100.00%) was correctly resolved
Saving Matrices in bug28.mat4
test van bug29 + - 0.45638679221708
dit was [ - - 0.39070917633329
en deze ] - - 0.39070917633329
en dat , - - 0.0000000000000
7,8d6
< [[, bug28] 0.5
< [[, ]] 0.5
11c9,11
< [,, [] 0.5
---
> [[, bug28] 0.5
> [[, ]] 0.5
> [[, ,] 0.5