Run2_v2.txt
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-------------------------------- PARAMETERS --------------------------------
Path of training data set: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
File with training data set: training-data-set-70_v4.txt
Path of test data set: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
File with test data set: test-data-set-30_v4.txt
Exclude stop words: False
Levels: True False
Report file: _v2
Exclude symbols: False
-------------------------------- PROCESSING --------------------------------
Reading corpus...
Sentences training data: 283
Sentences test data: 122
Reading corpus done in: 0.003846s
-------------------------------- FEATURES --------------------------------
--------------------------Features Training ---------------------------
0 1
0 lemma 1
1 postag CD
2 -1:lemma pq
3 -1:postag NN
4 hUpper False
5 hLower False
6 hGreek False
7 symb False
8 word[:1] 1
--------------------------- FeaturesTest -----------------------------
0 1
0 lemma delta-fnr
1 postag NN
2 -1:lemma _
3 -1:postag NN
4 +1:lemma _
5 +1:postag CD
6 hUpper False
7 hLower False
8 hGreek False
9 symb True
10 word[:1] d
11 word[:2] de
Fitting 10 folds for each of 20 candidates, totalling 200 fits
[CV] c1=0.7552293645263738, c2=0.010542927773867011 ..................
[CV] c1=0.7552293645263738, c2=0.010542927773867011, score=0.692390 - 1.1s
[CV] c1=1.4589431115727765, c2=0.00462048934522589 ...................
[CV] c1=1.4589431115727765, c2=0.00462048934522589, score=0.677656 - 1.4s
[CV] c1=0.47432740691636344, c2=0.03758235542198346 ..................
[CV] c1=0.47432740691636344, c2=0.03758235542198346, score=0.697829 - 1.6s
[CV] c1=0.4819640275387183, c2=0.029691473721229295 ..................
[CV] c1=0.4819640275387183, c2=0.029691473721229295, score=0.720638 - 1.4s
[CV] c1=0.21506344691612903, c2=0.02416742878069053 ..................
[CV] c1=0.21506344691612903, c2=0.02416742878069053, score=0.716901 - 1.5s
[CV] c1=0.298080277984045, c2=0.05416968597972857 ....................
[CV] c1=0.298080277984045, c2=0.05416968597972857, score=0.866982 - 1.4s
[CV] c1=0.350973260533853, c2=0.010037581949873645 ...................
[CV] c1=0.350973260533853, c2=0.010037581949873645, score=0.701470 - 1.2s
[CV] c1=0.47432740691636344, c2=0.03758235542198346 ..................
[CV] c1=0.47432740691636344, c2=0.03758235542198346, score=0.687400 - 1.3s
[CV] c1=0.4819640275387183, c2=0.029691473721229295 ..................
[CV] c1=0.4819640275387183, c2=0.029691473721229295, score=0.941969 - 1.5s
[CV] c1=0.21506344691612903, c2=0.02416742878069053 ..................
[CV] c1=0.21506344691612903, c2=0.02416742878069053, score=0.712895 - 1.1s
[CV] c1=0.7552293645263738, c2=0.010542927773867011 ..................
[CV] c1=0.7552293645263738, c2=0.010542927773867011, score=0.764724 - 1.3s
[CV] c1=1.4589431115727765, c2=0.00462048934522589 ...................
[CV] c1=1.4589431115727765, c2=0.00462048934522589, score=0.691639 - 1.4s
[CV] c1=0.47432740691636344, c2=0.03758235542198346 ..................
[CV] c1=0.47432740691636344, c2=0.03758235542198346, score=0.765131 - 1.3s
[CV] c1=0.4819640275387183, c2=0.029691473721229295 ..................
[CV] c1=0.4819640275387183, c2=0.029691473721229295, score=0.891979 - 1.4s
[CV] c1=0.21506344691612903, c2=0.02416742878069053 ..................
[CV] c1=0.21506344691612903, c2=0.02416742878069053, score=0.704318 - 1.4s
[CV] c1=0.7552293645263738, c2=0.010542927773867011 ..................
[CV] c1=0.7552293645263738, c2=0.010542927773867011, score=0.679052 - 1.4s
[CV] c1=0.350973260533853, c2=0.010037581949873645 ...................
[CV] c1=0.350973260533853, c2=0.010037581949873645, score=0.723654 - 1.3s
[CV] c1=0.47432740691636344, c2=0.03758235542198346 ..................
[CV] c1=0.47432740691636344, c2=0.03758235542198346, score=0.882037 - 1.4s
[CV] c1=0.4819640275387183, c2=0.029691473721229295 ..................
[CV] c1=0.4819640275387183, c2=0.029691473721229295, score=0.687400 - 1.3s
[CV] c1=0.21506344691612903, c2=0.02416742878069053 ..................
[CV] c1=0.21506344691612903, c2=0.02416742878069053, score=0.885770 - 1.5s
[CV] c1=0.298080277984045, c2=0.05416968597972857 ....................
[CV] c1=0.298080277984045, c2=0.05416968597972857, score=0.895305 - 1.2s
[CV] c1=1.4589431115727765, c2=0.00462048934522589 ...................
[CV] c1=1.4589431115727765, c2=0.00462048934522589, score=0.782459 - 1.6s
[CV] c1=0.06546675625130262, c2=0.059226785100600615 .................
[CV] c1=0.06546675625130262, c2=0.059226785100600615, score=0.911666 - 1.5s
[CV] c1=0.8446622313160173, c2=0.03942509766742223 ...................
[CV] c1=0.8446622313160173, c2=0.03942509766742223, score=0.697504 - 1.4s
[CV] c1=0.7034919312846388, c2=0.0024933361931142694 .................
[CV] c1=0.7034919312846388, c2=0.0024933361931142694, score=0.696275 - 0.9s
[CV] c1=0.298080277984045, c2=0.05416968597972857 ....................
[CV] c1=0.298080277984045, c2=0.05416968597972857, score=0.706631 - 1.1s
[CV] c1=1.4589431115727765, c2=0.00462048934522589 ...................
[CV] c1=1.4589431115727765, c2=0.00462048934522589, score=0.685539 - 1.4s
[CV] c1=0.47432740691636344, c2=0.03758235542198346 ..................
[CV] c1=0.47432740691636344, c2=0.03758235542198346, score=0.871122 - 1.5s
[CV] c1=0.4819640275387183, c2=0.029691473721229295 ..................
[CV] c1=0.4819640275387183, c2=0.029691473721229295, score=0.765131 - 1.5s
[CV] c1=0.21506344691612903, c2=0.02416742878069053 ..................
[CV] c1=0.21506344691612903, c2=0.02416742878069053, score=0.747961 - 1.4s
[CV] c1=0.5467988707284427, c2=0.00803194900725053 ...................
[CV] c1=0.5467988707284427, c2=0.00803194900725053, score=0.704197 - 1.3s
[CV] c1=0.350973260533853, c2=0.010037581949873645 ...................
[CV] c1=0.350973260533853, c2=0.010037581949873645, score=0.768514 - 1.3s
[CV] c1=0.06546675625130262, c2=0.059226785100600615 .................
[CV] c1=0.06546675625130262, c2=0.059226785100600615, score=0.729114 - 1.4s
[CV] c1=0.7298207185304556, c2=0.03502458791701493 ...................
[CV] c1=0.7298207185304556, c2=0.03502458791701493, score=0.692390 - 1.3s
[CV] c1=0.21506344691612903, c2=0.02416742878069053 ..................
[CV] c1=0.21506344691612903, c2=0.02416742878069053, score=0.686683 - 1.4s
[CV] c1=0.7552293645263738, c2=0.010542927773867011 ..................
[CV] c1=0.7552293645263738, c2=0.010542927773867011, score=0.680303 - 1.2s
[CV] c1=1.4589431115727765, c2=0.00462048934522589 ...................
[CV] c1=1.4589431115727765, c2=0.00462048934522589, score=0.679944 - 1.3s
[CV] c1=0.47432740691636344, c2=0.03758235542198346 ..................
[CV] c1=0.47432740691636344, c2=0.03758235542198346, score=0.724757 - 1.4s
[CV] c1=0.4819640275387183, c2=0.029691473721229295 ..................
[CV] c1=0.4819640275387183, c2=0.029691473721229295, score=0.700894 - 1.7s
[CV] c1=0.21506344691612903, c2=0.02416742878069053 ..................
[CV] c1=0.21506344691612903, c2=0.02416742878069053, score=0.876503 - 1.6s
[CV] c1=0.5467988707284427, c2=0.00803194900725053 ...................
[CV] c1=0.5467988707284427, c2=0.00803194900725053, score=0.692577 - 1.2s
[CV] c1=0.350973260533853, c2=0.010037581949873645 ...................
[CV] c1=0.350973260533853, c2=0.010037581949873645, score=0.882037 - 1.3s
[CV] c1=0.06546675625130262, c2=0.059226785100600615 .................
[CV] c1=0.06546675625130262, c2=0.059226785100600615, score=0.866982 - 1.4s
[CV] c1=0.7298207185304556, c2=0.03502458791701493 ...................
[CV] c1=0.7298207185304556, c2=0.03502458791701493, score=0.874383 - 1.5s
[CV] c1=0.7034919312846388, c2=0.0024933361931142694 .................
[CV] c1=0.7034919312846388, c2=0.0024933361931142694, score=0.780716 - 1.3s
[CV] c1=0.24706375983667295, c2=0.024420937052355998 .................
[CV] c1=0.24706375983667295, c2=0.024420937052355998, score=0.711689 - 1.3s
[CV] c1=1.0834398150991624, c2=0.003997536598295317 ..................
[CV] c1=1.0834398150991624, c2=0.003997536598295317, score=0.925608 - 1.3s
[CV] c1=0.0978143608714834, c2=0.07833099658452108 ...................
[CV] c1=0.0978143608714834, c2=0.07833099658452108, score=0.686683 - 1.2s
[CV] c1=0.7298207185304556, c2=0.03502458791701493 ...................
[CV] c1=0.7298207185304556, c2=0.03502458791701493, score=0.699064 - 1.2s
[CV] c1=0.7034919312846388, c2=0.0024933361931142694 .................
[CV] c1=0.7034919312846388, c2=0.0024933361931142694, score=0.891477 - 1.4s
[CV] c1=0.5467988707284427, c2=0.00803194900725053 ...................
[CV] c1=0.5467988707284427, c2=0.00803194900725053, score=0.746445 - 1.4s
[CV] c1=1.0834398150991624, c2=0.003997536598295317 ..................
[CV] c1=1.0834398150991624, c2=0.003997536598295317, score=0.704118 - 1.3s
[CV] c1=0.0978143608714834, c2=0.07833099658452108 ...................
[CV] c1=0.0978143608714834, c2=0.07833099658452108, score=0.889040 - 1.4s
[CV] c1=0.8446622313160173, c2=0.03942509766742223 ...................
[CV] c1=0.8446622313160173, c2=0.03942509766742223, score=0.758798 - 1.3s
[CV] c1=0.20192101167465534, c2=0.04531597351347868 ..................
[CV] c1=0.20192101167465534, c2=0.04531597351347868, score=0.714313 - 1.2s
[CV] c1=0.298080277984045, c2=0.05416968597972857 ....................
[CV] c1=0.298080277984045, c2=0.05416968597972857, score=0.798839 - 1.5s
[CV] c1=1.0834398150991624, c2=0.003997536598295317 ..................
[CV] c1=1.0834398150991624, c2=0.003997536598295317, score=0.761432 - 1.4s
[CV] c1=0.0978143608714834, c2=0.07833099658452108 ...................
[CV] c1=0.0978143608714834, c2=0.07833099658452108, score=0.810699 - 1.5s
[CV] c1=0.8446622313160173, c2=0.03942509766742223 ...................
[CV] c1=0.8446622313160173, c2=0.03942509766742223, score=0.691266 - 1.1s
[CV] c1=0.7034919312846388, c2=0.0024933361931142694 .................
[CV] c1=0.7034919312846388, c2=0.0024933361931142694, score=0.925608 - 1.4s
[CV] c1=0.7552293645263738, c2=0.010542927773867011 ..................
[CV] c1=0.7552293645263738, c2=0.010542927773867011, score=0.859428 - 1.3s
[CV] c1=1.4589431115727765, c2=0.00462048934522589 ...................
[CV] c1=1.4589431115727765, c2=0.00462048934522589, score=0.716965 - 1.4s
[CV] c1=0.47432740691636344, c2=0.03758235542198346 ..................
[CV] c1=0.47432740691636344, c2=0.03758235542198346, score=0.932342 - 1.5s
[CV] c1=0.7298207185304556, c2=0.03502458791701493 ...................
[CV] c1=0.7298207185304556, c2=0.03502458791701493, score=0.891477 - 1.5s
[CV] c1=0.7034919312846388, c2=0.0024933361931142694 .................
[CV] c1=0.7034919312846388, c2=0.0024933361931142694, score=0.816091 - 1.4s
[CV] c1=0.5467988707284427, c2=0.00803194900725053 ...................
[CV] c1=0.5467988707284427, c2=0.00803194900725053, score=0.876688 - 1.5s
[CV] c1=1.0834398150991624, c2=0.003997536598295317 ..................
[CV] c1=1.0834398150991624, c2=0.003997536598295317, score=0.849726 - 1.5s
[CV] c1=0.0978143608714834, c2=0.07833099658452108 ...................
[CV] c1=0.0978143608714834, c2=0.07833099658452108, score=0.711634 - 1.1s
[CV] c1=0.7298207185304556, c2=0.03502458791701493 ...................
[CV] c1=0.7298207185304556, c2=0.03502458791701493, score=0.771801 - 1.3s
[CV] c1=0.7034919312846388, c2=0.0024933361931142694 .................
[CV] c1=0.7034919312846388, c2=0.0024933361931142694, score=0.849461 - 1.4s
[CV] c1=0.7552293645263738, c2=0.010542927773867011 ..................
[CV] c1=0.7552293645263738, c2=0.010542927773867011, score=0.715703 - 1.4s
[CV] c1=1.4589431115727765, c2=0.00462048934522589 ...................
[CV] c1=1.4589431115727765, c2=0.00462048934522589, score=0.846342 - 1.6s
[CV] c1=0.06546675625130262, c2=0.059226785100600615 .................
[CV] c1=0.06546675625130262, c2=0.059226785100600615, score=0.888767 - 1.5s
[CV] c1=0.8446622313160173, c2=0.03942509766742223 ...................
[CV] c1=0.8446622313160173, c2=0.03942509766742223, score=0.679944 - 1.5s
[CV] c1=0.20192101167465534, c2=0.04531597351347868 ..................
[CV] c1=0.20192101167465534, c2=0.04531597351347868, score=0.686683 - 1.2s
[CV] c1=0.298080277984045, c2=0.05416968597972857 ....................
[CV] c1=0.298080277984045, c2=0.05416968597972857, score=0.718007 - 1.4s
[CV] c1=0.350973260533853, c2=0.010037581949873645 ...................
[CV] c1=0.350973260533853, c2=0.010037581949873645, score=0.792078 - 1.4s
[CV] c1=0.06546675625130262, c2=0.059226785100600615 .................
[CV] c1=0.06546675625130262, c2=0.059226785100600615, score=0.810699 - 1.4s
[CV] c1=0.7298207185304556, c2=0.03502458791701493 ...................
[CV] c1=0.7298207185304556, c2=0.03502458791701493, score=0.925608 - 1.5s
[CV] c1=0.20192101167465534, c2=0.04531597351347868 ..................
[CV] c1=0.20192101167465534, c2=0.04531597351347868, score=0.903464 - 1.3s
[CV] c1=0.5467988707284427, c2=0.00803194900725053 ...................
[CV] c1=0.5467988707284427, c2=0.00803194900725053, score=0.880433 - 1.6s
[CV] c1=0.5752830046115532, c2=0.029011946679537343 ..................
[CV] c1=0.5752830046115532, c2=0.029011946679537343, score=0.687131 - 1.3s
[CV] c1=0.0978143608714834, c2=0.07833099658452108 ...................
[CV] c1=0.0978143608714834, c2=0.07833099658452108, score=0.941969 - 1.3s
[CV] c1=0.8446622313160173, c2=0.03942509766742223 ...................
[CV] c1=0.8446622313160173, c2=0.03942509766742223, score=0.715703 - 1.3s
[CV] c1=0.20192101167465534, c2=0.04531597351347868 ..................
[CV] c1=0.20192101167465534, c2=0.04531597351347868, score=0.723701 - 1.4s
[CV] c1=0.7552293645263738, c2=0.010542927773867011 ..................
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[CV] c1=1.4589431115727765, c2=0.00462048934522589 ...................
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[CV] c1=0.47432740691636344, c2=0.03758235542198346 ..................
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[CV] c1=0.4819640275387183, c2=0.029691473721229295 ..................
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[CV] c1=0.7034919312846388, c2=0.0024933361931142694 .................
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[CV] c1=0.298080277984045, c2=0.05416968597972857 ....................
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[CV] c1=0.47432740691636344, c2=0.03758235542198346 ..................
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[CV] c1=0.7298207185304556, c2=0.03502458791701493 ...................
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[CV] c1=0.21506344691612903, c2=0.02416742878069053 ..................
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[CV] c1=0.5467988707284427, c2=0.00803194900725053 ...................
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[CV] c1=0.350973260533853, c2=0.010037581949873645 ...................
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[CV] c1=0.06546675625130262, c2=0.059226785100600615 .................
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[CV] c1=0.4819640275387183, c2=0.029691473721229295 ..................
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[CV] c1=0.21506344691612903, c2=0.02416742878069053 ..................
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[CV] c1=0.298080277984045, c2=0.05416968597972857 ....................
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[CV] c1=0.5752830046115532, c2=0.029011946679537343 ..................
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[CV] c1=0.12822074735920433, c2=0.028255623123597452 .................
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[CV] c1=0.8446622313160173, c2=0.03942509766742223 ...................
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[CV] c1=0.20192101167465534, c2=0.04531597351347868 ..................
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[CV] c1=0.5467988707284427, c2=0.00803194900725053 ...................
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[CV] c1=0.5752830046115532, c2=0.029011946679537343 ..................
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[CV] c1=0.12822074735920433, c2=0.028255623123597452 .................
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[CV] c1=0.3811975088263534, c2=0.09035610955818969 ...................
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[CV] c1=0.20192101167465534, c2=0.04531597351347868 ..................
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[CV] c1=0.7552293645263738, c2=0.010542927773867011 ..................
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[CV] c1=0.47432740691636344, c2=0.03758235542198346 ..................
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[CV] c1=0.4819640275387183, c2=0.029691473721229295 ..................
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[CV] c1=0.7034919312846388, c2=0.0024933361931142694 .................
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[CV] c1=0.20192101167465534, c2=0.04531597351347868 ..................
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[CV] c1=0.24706375983667295, c2=0.024420937052355998 .................
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[CV] c1=0.3811975088263534, c2=0.09035610955818969 ...................
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[CV] c1=0.24706375983667295, c2=0.024420937052355998 .................
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[CV] c1=0.3811975088263534, c2=0.09035610955818969 ...................
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[CV] c1=0.24706375983667295, c2=0.024420937052355998 .................
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[CV] c1=0.5752830046115532, c2=0.029011946679537343 ..................
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[CV] c1=0.12822074735920433, c2=0.028255623123597452 .................
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[CV] c1=0.5405494603106622, c2=0.02185761043719437 ...................
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[CV] c1=0.3811975088263534, c2=0.09035610955818969 ...................
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[CV] c1=0.5467988707284427, c2=0.00803194900725053 ...................
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[CV] c1=1.0834398150991624, c2=0.003997536598295317 ..................
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[CV] c1=0.06546675625130262, c2=0.059226785100600615 .................
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[CV] c1=0.4819640275387183, c2=0.029691473721229295 ..................
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[CV] c1=0.21506344691612903, c2=0.02416742878069053 ..................
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[CV] c1=0.298080277984045, c2=0.05416968597972857 ....................
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[CV] c1=0.350973260533853, c2=0.010037581949873645 ...................
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[CV] c1=0.06546675625130262, c2=0.059226785100600615 .................
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[CV] c1=0.7298207185304556, c2=0.03502458791701493 ...................
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[CV] c1=0.7034919312846388, c2=0.0024933361931142694 .................
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[CV] c1=0.24706375983667295, c2=0.024420937052355998 .................
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[CV] c1=0.5752830046115532, c2=0.029011946679537343 ..................
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[CV] c1=0.12822074735920433, c2=0.028255623123597452 .................
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[CV] c1=0.5405494603106622, c2=0.02185761043719437 ...................
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[CV] c1=0.20192101167465534, c2=0.04531597351347868 ..................
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[CV] c1=0.7552293645263738, c2=0.010542927773867011 ..................
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[CV] c1=0.350973260533853, c2=0.010037581949873645 ...................
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[CV] c1=0.06546675625130262, c2=0.059226785100600615 .................
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[CV] c1=0.7298207185304556, c2=0.03502458791701493 ...................
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[CV] c1=0.7034919312846388, c2=0.0024933361931142694 .................
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[CV] c1=0.24706375983667295, c2=0.024420937052355998 .................
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[CV] c1=1.0834398150991624, c2=0.003997536598295317 ..................
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[CV] c1=0.0978143608714834, c2=0.07833099658452108 ...................
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[CV] c1=0.8446622313160173, c2=0.03942509766742223 ...................
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[CV] c1=0.20192101167465534, c2=0.04531597351347868 ..................
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[CV] c1=0.5467988707284427, c2=0.00803194900725053 ...................
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[CV] c1=1.0834398150991624, c2=0.003997536598295317 ..................
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[CV] c1=0.0978143608714834, c2=0.07833099658452108 ...................
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[CV] c1=0.8446622313160173, c2=0.03942509766742223 ...................
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[CV] c1=0.20192101167465534, c2=0.04531597351347868 ..................
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[CV] c1=0.298080277984045, c2=0.05416968597972857 ....................
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[CV] c1=0.350973260533853, c2=0.010037581949873645 ...................
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[CV] c1=0.06546675625130262, c2=0.059226785100600615 .................
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[CV] c1=0.8446622313160173, c2=0.03942509766742223 ...................
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[CV] c1=0.3811975088263534, c2=0.09035610955818969 ...................
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[CV] c1=0.24706375983667295, c2=0.024420937052355998 .................
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[CV] c1=0.5752830046115532, c2=0.029011946679537343 ..................
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[CV] c1=0.12822074735920433, c2=0.028255623123597452 .................
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[CV] c1=0.5405494603106622, c2=0.02185761043719437 ...................
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[CV] c1=0.3811975088263534, c2=0.09035610955818969 ...................
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[CV] c1=0.24706375983667295, c2=0.024420937052355998 .................
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[CV] c1=0.5752830046115532, c2=0.029011946679537343 ..................
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[CV] c1=0.12822074735920433, c2=0.028255623123597452 .................
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[CV] c1=0.5405494603106622, c2=0.02185761043719437 ...................
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[CV] c1=0.3811975088263534, c2=0.09035610955818969 ...................
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[CV] c1=0.24706375983667295, c2=0.024420937052355998 .................
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[CV] c1=0.5752830046115532, c2=0.029011946679537343 ..................
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[CV] c1=0.12822074735920433, c2=0.028255623123597452 .................
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[CV] c1=0.5405494603106622, c2=0.02185761043719437 ...................
[CV] c1=0.5405494603106622, c2=0.02185761043719437, score=0.941969 - 1.4s
[CV] c1=0.3811975088263534, c2=0.09035610955818969 ...................
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[CV] c1=0.24706375983667295, c2=0.024420937052355998 .................
[CV] c1=0.24706375983667295, c2=0.024420937052355998, score=0.943015 - 1.5s
[CV] c1=0.5752830046115532, c2=0.029011946679537343 ..................
[CV] c1=0.5752830046115532, c2=0.029011946679537343, score=0.941969 - 1.5s
[CV] c1=0.12822074735920433, c2=0.028255623123597452 .................
[CV] c1=0.12822074735920433, c2=0.028255623123597452, score=0.712895 - 1.3s
[CV] c1=0.5405494603106622, c2=0.02185761043719437 ...................
[CV] c1=0.5405494603106622, c2=0.02185761043719437, score=0.746445 - 1.4s
[CV] c1=0.3811975088263534, c2=0.09035610955818969 ...................
[CV] c1=0.3811975088263534, c2=0.09035610955818969, score=0.941969 - 1.2s
Training done in: 9.118032s
Saving training model...
Saving training model done in: 0.013122s
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Prediction done in: 0.030181s