Run_3.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.txt
Path of test data set: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
File with test data set: test-data-set-30.txt
Exclude stop words: False
Levels: False True
Report file: _v13
Exclude symbols: False
-------------------------------- PROCESSING --------------------------------
Reading corpus...
Sentences training data: 286
Sentences test data: 123
Reading corpus done in: 0.003601s
-------------------------------- FEATURES --------------------------------
--------------------------Features Training ---------------------------
0 1
0 lemma 2
1 postag CD
2 -1:lemma fructose
3 -1:postag NN
4 word 2
5 isUpper False
6 isLower False
7 isGreek False
8 isNumber True
9 -1:word fructose
--------------------------- FeaturesTest -----------------------------
0 1
0 lemma delta-arca
1 postag NN
2 -1:lemma _
3 -1:postag NN
4 +1:lemma _
5 +1:postag CD
6 word delta-arcA
7 isUpper False
8 isLower False
9 isGreek False
10 isNumber False
11 -1:word _
12 +1:word _
Fitting 10 folds for each of 20 candidates, totalling 200 fits
[CV] c1=0.935722192523284, c2=0.0005318801626229629 ..................
[CV] c1=0.935722192523284, c2=0.0005318801626229629, score=0.930900 - 1.3s
[CV] c1=0.6760058051882148, c2=0.00456290903506356 ...................
[CV] c1=0.6760058051882148, c2=0.00456290903506356, score=0.928690 - 1.3s
[CV] c1=0.025397838188738985, c2=0.010943674737961755 ................
[CV] c1=0.025397838188738985, c2=0.010943674737961755, score=0.930828 - 1.4s
[CV] c1=1.4843188945989627, c2=0.06435826732715343 ...................
[CV] c1=1.4843188945989627, c2=0.06435826732715343, score=0.683821 - 1.4s
[CV] c1=0.7824372927862602, c2=0.32105281575317696 ...................
[CV] c1=0.7824372927862602, c2=0.32105281575317696, score=0.719421 - 1.0s
[CV] c1=0.17393534309447636, c2=0.03996743049378701 ..................
[CV] c1=0.17393534309447636, c2=0.03996743049378701, score=0.867080 - 1.4s
[CV] c1=1.0739040365330779, c2=0.014049858881180455 ..................
[CV] c1=1.0739040365330779, c2=0.014049858881180455, score=0.756173 - 1.3s
[CV] c1=0.7019199343375351, c2=0.014002713155773422 ..................
[CV] c1=0.7019199343375351, c2=0.014002713155773422, score=0.773435 - 1.2s
[CV] c1=0.23160144515790687, c2=0.008798280691368095 .................
[CV] c1=0.23160144515790687, c2=0.008798280691368095, score=0.795085 - 1.5s
[CV] c1=0.7824372927862602, c2=0.32105281575317696 ...................
[CV] c1=0.7824372927862602, c2=0.32105281575317696, score=0.684686 - 1.2s
[CV] c1=0.17393534309447636, c2=0.03996743049378701 ..................
[CV] c1=0.17393534309447636, c2=0.03996743049378701, score=0.684280 - 1.5s
[CV] c1=1.0739040365330779, c2=0.014049858881180455 ..................
[CV] c1=1.0739040365330779, c2=0.014049858881180455, score=0.856192 - 1.4s
[CV] c1=0.7019199343375351, c2=0.014002713155773422 ..................
[CV] c1=0.7019199343375351, c2=0.014002713155773422, score=0.859281 - 1.3s
[CV] c1=1.4843188945989627, c2=0.06435826732715343 ...................
[CV] c1=1.4843188945989627, c2=0.06435826732715343, score=0.870142 - 1.4s
[CV] c1=0.002053052959069552, c2=0.018920275579881927 ................
[CV] c1=0.002053052959069552, c2=0.018920275579881927, score=0.849145 - 1.1s
[CV] c1=0.17393534309447636, c2=0.03996743049378701 ..................
[CV] c1=0.17393534309447636, c2=0.03996743049378701, score=0.954622 - 1.4s
[CV] c1=1.0739040365330779, c2=0.014049858881180455 ..................
[CV] c1=1.0739040365330779, c2=0.014049858881180455, score=0.780437 - 1.3s
[CV] c1=0.7019199343375351, c2=0.014002713155773422 ..................
[CV] c1=0.7019199343375351, c2=0.014002713155773422, score=0.876548 - 1.3s
[CV] c1=1.4843188945989627, c2=0.06435826732715343 ...................
[CV] c1=1.4843188945989627, c2=0.06435826732715343, score=0.846283 - 1.4s
[CV] c1=0.7824372927862602, c2=0.32105281575317696 ...................
[CV] c1=0.7824372927862602, c2=0.32105281575317696, score=0.848732 - 1.1s
[CV] c1=0.17393534309447636, c2=0.03996743049378701 ..................
[CV] c1=0.17393534309447636, c2=0.03996743049378701, score=0.853491 - 1.3s
[CV] c1=1.0739040365330779, c2=0.014049858881180455 ..................
[CV] c1=1.0739040365330779, c2=0.014049858881180455, score=0.788111 - 1.4s
[CV] c1=0.7019199343375351, c2=0.014002713155773422 ..................
[CV] c1=0.7019199343375351, c2=0.014002713155773422, score=0.926918 - 1.4s
[CV] c1=1.4843188945989627, c2=0.06435826732715343 ...................
[CV] c1=1.4843188945989627, c2=0.06435826732715343, score=0.757382 - 1.4s
[CV] c1=0.002053052959069552, c2=0.018920275579881927 ................
[CV] c1=0.002053052959069552, c2=0.018920275579881927, score=0.927937 - 1.1s
[CV] c1=0.17393534309447636, c2=0.03996743049378701 ..................
[CV] c1=0.17393534309447636, c2=0.03996743049378701, score=0.935212 - 1.3s
[CV] c1=1.0739040365330779, c2=0.014049858881180455 ..................
[CV] c1=1.0739040365330779, c2=0.014049858881180455, score=0.772475 - 1.4s
[CV] c1=0.7251994052584196, c2=0.059043207959615734 ..................
[CV] c1=0.7251994052584196, c2=0.059043207959615734, score=0.693707 - 1.4s
[CV] c1=0.5640531474503676, c2=0.06464287784131272 ...................
[CV] c1=0.5640531474503676, c2=0.06464287784131272, score=0.785527 - 1.2s
[CV] c1=0.7824372927862602, c2=0.32105281575317696 ...................
[CV] c1=0.7824372927862602, c2=0.32105281575317696, score=0.760702 - 1.2s
[CV] c1=0.17393534309447636, c2=0.03996743049378701 ..................
[CV] c1=0.17393534309447636, c2=0.03996743049378701, score=0.920093 - 1.3s
[CV] c1=1.0739040365330779, c2=0.014049858881180455 ..................
[CV] c1=1.0739040365330779, c2=0.014049858881180455, score=0.859588 - 1.4s
[CV] c1=0.7019199343375351, c2=0.014002713155773422 ..................
[CV] c1=0.7019199343375351, c2=0.014002713155773422, score=0.855506 - 1.3s
[CV] c1=1.4843188945989627, c2=0.06435826732715343 ...................
[CV] c1=1.4843188945989627, c2=0.06435826732715343, score=0.828806 - 1.4s
[CV] c1=0.7824372927862602, c2=0.32105281575317696 ...................
[CV] c1=0.7824372927862602, c2=0.32105281575317696, score=0.890908 - 1.1s
[CV] c1=0.17393534309447636, c2=0.03996743049378701 ..................
[CV] c1=0.17393534309447636, c2=0.03996743049378701, score=0.794216 - 1.3s
[CV] c1=1.0739040365330779, c2=0.014049858881180455 ..................
[CV] c1=1.0739040365330779, c2=0.014049858881180455, score=0.572747 - 1.4s
[CV] c1=0.7019199343375351, c2=0.014002713155773422 ..................
[CV] c1=0.7019199343375351, c2=0.014002713155773422, score=0.789760 - 1.5s
[CV] c1=1.4843188945989627, c2=0.06435826732715343 ...................
[CV] c1=1.4843188945989627, c2=0.06435826732715343, score=0.740710 - 1.4s
[CV] c1=0.002053052959069552, c2=0.018920275579881927 ................
[CV] c1=0.002053052959069552, c2=0.018920275579881927, score=0.814733 - 1.4s
[CV] c1=0.41373565924979, c2=0.09238653639376901 .....................
[CV] c1=0.41373565924979, c2=0.09238653639376901, score=0.879946 - 1.3s
[CV] c1=0.24725553901263866, c2=0.048170961867498224 .................
[CV] c1=0.24725553901263866, c2=0.048170961867498224, score=0.794216 - 1.4s
[CV] c1=0.7251994052584196, c2=0.059043207959615734 ..................
[CV] c1=0.7251994052584196, c2=0.059043207959615734, score=0.795622 - 1.2s
[CV] c1=0.5640531474503676, c2=0.06464287784131272 ...................
[CV] c1=0.5640531474503676, c2=0.06464287784131272, score=0.926918 - 1.2s
[CV] c1=0.002053052959069552, c2=0.018920275579881927 ................
[CV] c1=0.002053052959069552, c2=0.018920275579881927, score=0.915929 - 1.2s
[CV] c1=0.41373565924979, c2=0.09238653639376901 .....................
[CV] c1=0.41373565924979, c2=0.09238653639376901, score=0.636415 - 1.4s
[CV] c1=0.24725553901263866, c2=0.048170961867498224 .................
[CV] c1=0.24725553901263866, c2=0.048170961867498224, score=0.926918 - 1.3s
[CV] c1=0.7251994052584196, c2=0.059043207959615734 ..................
[CV] c1=0.7251994052584196, c2=0.059043207959615734, score=0.773435 - 1.2s
[CV] c1=1.4843188945989627, c2=0.06435826732715343 ...................
[CV] c1=1.4843188945989627, c2=0.06435826732715343, score=0.700902 - 1.4s
[CV] c1=0.9221917662018542, c2=0.005799172918219737 ..................
[CV] c1=0.9221917662018542, c2=0.005799172918219737, score=0.865716 - 1.3s
[CV] c1=0.019312034848527993, c2=0.0625879432690274 ..................
[CV] c1=0.019312034848527993, c2=0.0625879432690274, score=0.854812 - 1.2s
[CV] c1=2.6412622667185475, c2=0.03736596703804092 ...................
[CV] c1=2.6412622667185475, c2=0.03736596703804092, score=0.785802 - 1.2s
[CV] c1=1.652119003219986, c2=0.10376523465777213 ....................
[CV] c1=1.652119003219986, c2=0.10376523465777213, score=0.643879 - 1.2s
[CV] c1=0.5640531474503676, c2=0.06464287784131272 ...................
[CV] c1=0.5640531474503676, c2=0.06464287784131272, score=0.904039 - 1.1s
[CV] c1=0.7824372927862602, c2=0.32105281575317696 ...................
[CV] c1=0.7824372927862602, c2=0.32105281575317696, score=0.824559 - 1.3s
[CV] c1=0.17393534309447636, c2=0.03996743049378701 ..................
[CV] c1=0.17393534309447636, c2=0.03996743049378701, score=0.835066 - 1.4s
[CV] c1=0.24725553901263866, c2=0.048170961867498224 .................
[CV] c1=0.24725553901263866, c2=0.048170961867498224, score=0.835213 - 1.3s
[CV] c1=0.7019199343375351, c2=0.014002713155773422 ..................
[CV] c1=0.7019199343375351, c2=0.014002713155773422, score=0.928690 - 1.3s
[CV] c1=1.4843188945989627, c2=0.06435826732715343 ...................
[CV] c1=1.4843188945989627, c2=0.06435826732715343, score=0.896763 - 1.4s
[CV] c1=0.9221917662018542, c2=0.005799172918219737 ..................
[CV] c1=0.9221917662018542, c2=0.005799172918219737, score=0.678563 - 1.4s
[CV] c1=0.019312034848527993, c2=0.0625879432690274 ..................
[CV] c1=0.019312034848527993, c2=0.0625879432690274, score=0.852298 - 1.2s
[CV] c1=0.24725553901263866, c2=0.048170961867498224 .................
[CV] c1=0.24725553901263866, c2=0.048170961867498224, score=0.785482 - 1.2s
[CV] c1=0.7251994052584196, c2=0.059043207959615734 ..................
[CV] c1=0.7251994052584196, c2=0.059043207959615734, score=0.859281 - 1.3s
[CV] c1=0.5640531474503676, c2=0.06464287784131272 ...................
[CV] c1=0.5640531474503676, c2=0.06464287784131272, score=0.799176 - 1.3s
[CV] c1=0.7824372927862602, c2=0.32105281575317696 ...................
[CV] c1=0.7824372927862602, c2=0.32105281575317696, score=0.792579 - 1.2s
[CV] c1=0.17393534309447636, c2=0.03996743049378701 ..................
[CV] c1=0.17393534309447636, c2=0.03996743049378701, score=0.926918 - 1.3s
[CV] c1=1.0739040365330779, c2=0.014049858881180455 ..................
[CV] c1=1.0739040365330779, c2=0.014049858881180455, score=0.890908 - 1.3s
[CV] c1=0.7019199343375351, c2=0.014002713155773422 ..................
[CV] c1=0.7019199343375351, c2=0.014002713155773422, score=0.674636 - 1.4s
[CV] c1=1.4843188945989627, c2=0.06435826732715343 ...................
[CV] c1=1.4843188945989627, c2=0.06435826732715343, score=0.560775 - 1.5s
[CV] c1=0.002053052959069552, c2=0.018920275579881927 ................
[CV] c1=0.002053052959069552, c2=0.018920275579881927, score=0.826731 - 1.2s
[CV] c1=0.41373565924979, c2=0.09238653639376901 .....................
[CV] c1=0.41373565924979, c2=0.09238653639376901, score=0.840996 - 1.3s
[CV] c1=1.0739040365330779, c2=0.014049858881180455 ..................
[CV] c1=1.0739040365330779, c2=0.014049858881180455, score=0.915336 - 1.3s
[CV] c1=0.7019199343375351, c2=0.014002713155773422 ..................
[CV] c1=0.7019199343375351, c2=0.014002713155773422, score=0.800642 - 1.4s
[CV] c1=0.5640531474503676, c2=0.06464287784131272 ...................
[CV] c1=0.5640531474503676, c2=0.06464287784131272, score=0.722925 - 1.4s
[CV] c1=0.002053052959069552, c2=0.018920275579881927 ................
[CV] c1=0.002053052959069552, c2=0.018920275579881927, score=0.694239 - 1.3s
[CV] c1=0.41373565924979, c2=0.09238653639376901 .....................
[CV] c1=0.41373565924979, c2=0.09238653639376901, score=0.794216 - 1.4s
[CV] c1=0.24725553901263866, c2=0.048170961867498224 .................
[CV] c1=0.24725553901263866, c2=0.048170961867498224, score=0.903946 - 1.3s
[CV] c1=0.7251994052584196, c2=0.059043207959615734 ..................
[CV] c1=0.7251994052584196, c2=0.059043207959615734, score=0.900463 - 1.3s
[CV] c1=0.5640531474503676, c2=0.06464287784131272 ...................
[CV] c1=0.5640531474503676, c2=0.06464287784131272, score=0.674636 - 1.3s
[CV] c1=0.7824372927862602, c2=0.32105281575317696 ...................
[CV] c1=0.7824372927862602, c2=0.32105281575317696, score=0.763868 - 1.3s
[CV] c1=0.41373565924979, c2=0.09238653639376901 .....................
[CV] c1=0.41373565924979, c2=0.09238653639376901, score=0.755188 - 1.4s
[CV] c1=0.24725553901263866, c2=0.048170961867498224 .................
[CV] c1=0.24725553901263866, c2=0.048170961867498224, score=0.688530 - 1.4s
[CV] c1=0.7251994052584196, c2=0.059043207959615734 ..................
[CV] c1=0.7251994052584196, c2=0.059043207959615734, score=0.643546 - 1.4s
[CV] c1=0.5640531474503676, c2=0.06464287784131272 ...................
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[CV] c1=0.7824372927862602, c2=0.32105281575317696 ...................
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[CV] c1=1.652119003219986, c2=0.10376523465777213 ....................
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[CV] c1=0.935722192523284, c2=0.0005318801626229629 ..................
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[CV] c1=0.7251994052584196, c2=0.059043207959615734 ..................
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[CV] c1=0.9221917662018542, c2=0.005799172918219737 ..................
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[CV] c1=0.7292179112540754, c2=0.004120725812307264 ..................
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[CV] c1=0.9221917662018542, c2=0.005799172918219737 ..................
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[CV] c1=0.019312034848527993, c2=0.0625879432690274 ..................
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[CV] c1=0.025397838188738985, c2=0.010943674737961755 ................
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[CV] c1=1.652119003219986, c2=0.10376523465777213 ....................
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[CV] c1=0.7292179112540754, c2=0.004120725812307264 ..................
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[CV] c1=0.935722192523284, c2=0.0005318801626229629 ..................
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[CV] c1=0.6760058051882148, c2=0.00456290903506356 ...................
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[CV] c1=0.025397838188738985, c2=0.010943674737961755 ................
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[CV] c1=0.23160144515790687, c2=0.008798280691368095 .................
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[CV] c1=0.17593338376582365, c2=0.04437736465223883 ..................
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[CV] c1=0.9221917662018542, c2=0.005799172918219737 ..................
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[CV] c1=0.6760058051882148, c2=0.00456290903506356 ...................
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[CV] c1=0.025397838188738985, c2=0.010943674737961755 ................
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[CV] c1=0.23160144515790687, c2=0.008798280691368095 .................
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[CV] c1=0.17593338376582365, c2=0.04437736465223883 ..................
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[CV] c1=0.935722192523284, c2=0.0005318801626229629 ..................
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[CV] c1=0.6760058051882148, c2=0.00456290903506356 ...................
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[CV] c1=0.025397838188738985, c2=0.010943674737961755 ................
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[CV] c1=0.23160144515790687, c2=0.008798280691368095 .................
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[CV] c1=0.17593338376582365, c2=0.04437736465223883 ..................
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[CV] c1=0.9221917662018542, c2=0.005799172918219737 ..................
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[CV] c1=0.019312034848527993, c2=0.0625879432690274 ..................
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[CV] c1=2.6412622667185475, c2=0.03736596703804092 ...................
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[CV] c1=1.652119003219986, c2=0.10376523465777213 ....................
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[CV] c1=0.7292179112540754, c2=0.004120725812307264 ..................
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[CV] c1=0.935722192523284, c2=0.0005318801626229629 ..................
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[CV] c1=0.019312034848527993, c2=0.0625879432690274 ..................
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[CV] c1=2.6412622667185475, c2=0.03736596703804092 ...................
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[CV] c1=0.23160144515790687, c2=0.008798280691368095 .................
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[CV] c1=0.7292179112540754, c2=0.004120725812307264 ..................
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[CV] c1=0.9221917662018542, c2=0.005799172918219737 ..................
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[CV] c1=0.019312034848527993, c2=0.0625879432690274 ..................
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[CV] c1=2.6412622667185475, c2=0.03736596703804092 ...................
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[CV] c1=1.652119003219986, c2=0.10376523465777213 ....................
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[CV] c1=0.17593338376582365, c2=0.04437736465223883 ..................
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[CV] c1=0.935722192523284, c2=0.0005318801626229629 ..................
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[CV] c1=0.6760058051882148, c2=0.00456290903506356 ...................
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[CV] c1=2.6412622667185475, c2=0.03736596703804092 ...................
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[CV] c1=0.23160144515790687, c2=0.008798280691368095 .................
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[CV] c1=0.17593338376582365, c2=0.04437736465223883 ..................
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[CV] c1=0.935722192523284, c2=0.0005318801626229629 ..................
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[CV] c1=0.6760058051882148, c2=0.00456290903506356 ...................
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[CV] c1=0.025397838188738985, c2=0.010943674737961755 ................
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[CV] c1=0.23160144515790687, c2=0.008798280691368095 .................
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[CV] c1=0.17593338376582365, c2=0.04437736465223883 ..................
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[CV] c1=0.9221917662018542, c2=0.005799172918219737 ..................
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[CV] c1=0.019312034848527993, c2=0.0625879432690274 ..................
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[CV] c1=2.6412622667185475, c2=0.03736596703804092 ...................
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[CV] c1=0.23160144515790687, c2=0.008798280691368095 .................
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[CV] c1=0.17593338376582365, c2=0.04437736465223883 ..................
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[CV] c1=0.935722192523284, c2=0.0005318801626229629 ..................
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[CV] c1=0.6760058051882148, c2=0.00456290903506356 ...................
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[CV] c1=0.025397838188738985, c2=0.010943674737961755 ................
[CV] c1=0.025397838188738985, c2=0.010943674737961755, score=0.946871 - 1.4s
[CV] c1=0.23160144515790687, c2=0.008798280691368095 .................
[CV] c1=0.23160144515790687, c2=0.008798280691368095, score=0.922832 - 1.3s
[CV] c1=0.17593338376582365, c2=0.04437736465223883 ..................
[CV] c1=0.17593338376582365, c2=0.04437736465223883, score=0.892921 - 1.1s
[CV] c1=0.7824372927862602, c2=0.32105281575317696 ...................
[CV] c1=0.7824372927862602, c2=0.32105281575317696, score=0.553702 - 1.1s
[CV] c1=0.17393534309447636, c2=0.03996743049378701 ..................
[CV] c1=0.17393534309447636, c2=0.03996743049378701, score=0.839700 - 1.1s
[CV] c1=1.0739040365330779, c2=0.014049858881180455 ..................
[CV] c1=1.0739040365330779, c2=0.014049858881180455, score=0.690587 - 1.3s
[CV] c1=0.7019199343375351, c2=0.014002713155773422 ..................
[CV] c1=0.7019199343375351, c2=0.014002713155773422, score=0.714206 - 1.4s
[CV] c1=1.4843188945989627, c2=0.06435826732715343 ...................
[CV] c1=1.4843188945989627, c2=0.06435826732715343, score=0.648506 - 1.4s
[CV] c1=0.17593338376582365, c2=0.04437736465223883 ..................
[CV] c1=0.17593338376582365, c2=0.04437736465223883, score=0.813649 - 1.0s
Training done in: 8.711573s
Saving training model...
Saving training model done in: 0.013376s
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Prediction done in: 0.034608s