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bug29.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/bug29.train' gave the following results:
Number of Features: 2
InputFormat : C4.5
Phase 1: Reading Datafile: tests/bug29.train
Start: 0 @ Mon Sep 2 15:22:38 2019
Finished: 8 @ Mon Sep 2 15:22:38 2019
Calculating Entropy Mon Sep 2 15:22:38 2019
Lines of data : 8
DB Entropy : 1.0000000
Number of Classes : 2
Feats Vals InfoGain GainRatio
1 4 0.50000000 0.25000000
2 6 0.50000000 0.20000000
Preparation took 0 seconds, 0 milliseconds and 92 microseconds
Feature Permutation based on GainRatio/Values :
< 1, 2 >
Phase 2: Building multi index on Datafile: tests/bug29.train
Start: 0 @ Mon Sep 2 15:22:38 2019
Finished: 8 @ Mon Sep 2 15:22:38 2019
Phase 3: Learning from Datafile: tests/bug29.train
Start: 0 @ Mon Sep 2 15:22:38 2019
Finished: 8 @ Mon Sep 2 15:22:38 2019
Size of InstanceBase = 20 Nodes, (800 bytes), 16.67 % compression
Learning took 0 seconds, 0 milliseconds and 138 microseconds
Examine datafile 'tests/bug29.test' gave the following results:
Number of Features: 2
InputFormat : C4.5
Starting to test, Testfile: tests/bug29.test
Writing output in: bug29.out
Algorithm : IB1
Global metric : Dice coefficient, Prestored matrix
Deviant Feature Metrics:(none)
Size of value-matrix[1] = 48 Bytes
Size of value-matrix[2] = 48 Bytes
Total Size of value-matrices 96 Bytes
Weighting : GainRatio
Feature 1 : 0.250000000000000
Feature 2 : 0.200000000000000
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: 0.0003 (12698.41 p/s)
overall accuracy: 1.000000 (4/4), of which 3 exact matches
There were 4 ties of which 4 (100.00%) were correctly resolved
gggg,ka,+,+ { + 1.00000, - 1.00000 } 0.0000000000000
# k=1, 2 Neighbor(s) at distance: 0.0000000000000
# gggg,ka,{ + 1.00000 }
# ggg,ka,{ - 1.00000 }
# k=2, 2 Neighbor(s) at distance: 0.15000000000000
# gg,kakafonie,{ + 1.00000 }
# g,kakafonie,{ - 1.00000 }
ggg,kat,+,+ { + 1.00000, - 1.00000 } 0.066666666666667
# k=1, 2 Neighbor(s) at distance: 0.066666666666667
# ggg,ka,{ - 1.00000 }
# gggg,ka,{ + 1.00000 }
# k=2, 2 Neighbor(s) at distance: 0.15555555555556
# gg,kakafonie,{ + 1.00000 }
# g,kakafonie,{ - 1.00000 }
gg,kakafonie,+,+ { + 2.00000, - 1.00000 } 0.0000000000000
# k=1, 2 Neighbor(s) at distance: 0.0000000000000
# gg,kakafonie,{ + 1.00000 }
# g,kakafonie,{ - 1.00000 }
# k=2, 1 Neighbor(s) at distance: 0.054545454545455
# gggg,fonie,{ + 1.00000 }
g,kakafonie,+,+ { + 2.00000, - 1.00000 } 0.0000000000000
# k=1, 2 Neighbor(s) at distance: 0.0000000000000
# g,kakafonie,{ - 1.00000 }
# gg,kakafonie,{ + 1.00000 }
# k=2, 1 Neighbor(s) at distance: 0.054545454545455
# gggg,fonie,{ + 1.00000 }