-
Notifications
You must be signed in to change notification settings - Fork 0
/
bug25.ok
88 lines (75 loc) · 3.08 KB
/
bug25.ok
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
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/example.train' gave the following results:
Number of Features: 3
InputFormat : C4.5
Phase 1: Reading Datafile: ./tests/example.train
Start: 0 @ Mon Sep 2 15:22:38 2019
Finished: 29 @ Mon Sep 2 15:22:38 2019
Calculating Entropy Mon Sep 2 15:22:38 2019
Lines of data : 29
DB Entropy : 0.97844933
Number of Classes : 2
Feats Vals InfoGain GainRatio
1 3 0.21155656 0.16072646
2 3 0.0060448141 0.0040988196
3 4 0.044887336 0.023802575
Preparation took 0 seconds, 0 milliseconds and 125 microseconds
Saving Probability Arrays in vpfile
Feature Permutation based on GainRatio/Values :
< 1, 3, 2 >
Phase 2: Building multi index on Datafile: ./tests/example.train
Start: 0 @ Mon Sep 2 15:22:38 2019
Finished: 29 @ Mon Sep 2 15:22:38 2019
Phase 3: Learning from Datafile: ./tests/example.train
Start: 0 @ Mon Sep 2 15:22:38 2019
Finished: 29 @ Mon Sep 2 15:22:38 2019
Size of InstanceBase = 34 Nodes, (1360 bytes), 29.17 % compression
Learning took 0 seconds, 0 milliseconds and 191 microseconds
Writing Instance-Base in: vptree
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: vptree
Size of InstanceBase = 34 Nodes, (1360 bytes), 29.17 % compression
Feature Permutation based on Data File Ordering :
< 1, 3, 2 >
Reading Probability Arrays from vpfile
Examine datafile './tests/example.test' gave the following results:
Number of Features: 3
InputFormat : C4.5
Starting to test, Testfile: ./tests/example.test
Writing output in: ./tests/example.test.IB1.O.gr.k1.out
Algorithm : IB1
Global metric : Overlap
Deviant Feature Metrics:(none)
Weighting : GainRatio
Feature 1 : 0.160726463858466
Feature 2 : 0.004098819626097
Feature 3 : 0.023802575094251
Tested: 1 @ Mon Sep 2 15:22:38 2019
Tested: 2 @ Mon Sep 2 15:22:38 2019
Warning: testfile, skipped line #3
! commentaar
Tested: 3 @ Mon Sep 2 15:22:38 2019
Warning: testfile, skipped line #5
B,fout, raar, rood,a,+
Tested: 4 @ Mon Sep 2 15:22:38 2019
Tested: 5 @ Mon Sep 2 15:22:38 2019
Ready: 5 @ Mon Sep 2 15:22:38 2019
Seconds taken: 0.0002 (27472.53 p/s)
overall accuracy: 0.600000 (3/5), of which 2 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 15:22:38 2019
-u option is useless for IGtree