Run5_v1.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: False False
Report file: _v9
Exclude symbols: False
-------------------------------- PROCESSING --------------------------------
Reading corpus...
Sentences training data: 283
Sentences test data: 122
Reading corpus done in: 0.003781s
{'lemma': 'δsoxs', 'postag': 'NN', '+1:lemma': 'pq', '+1:postag': 'NN'}
{'lemma': 'affyexp', 'postag': 'JJ', '+1:lemma': '_', '+1:postag': 'NN'}
Fitting 10 folds for each of 20 candidates, totalling 200 fits
[CV] c1=0.6194603776098887, c2=0.003983838476166578 ..................
[CV] c1=0.6194603776098887, c2=0.003983838476166578, score=0.656490 - 1.1s
[CV] c1=1.529507873115847, c2=0.024136783344165424 ...................
[CV] c1=1.529507873115847, c2=0.024136783344165424, score=0.643620 - 1.1s
[CV] c1=0.4486050985597108, c2=0.00923136182458732 ...................
[CV] c1=0.4486050985597108, c2=0.00923136182458732, score=0.710539 - 1.3s
[CV] c1=0.39114608628354247, c2=0.04029658321961293 ..................
[CV] c1=0.39114608628354247, c2=0.04029658321961293, score=0.899703 - 1.3s
[CV] c1=0.02824756371284651, c2=0.0335948035118798 ...................
[CV] c1=0.02824756371284651, c2=0.0335948035118798, score=0.890667 - 1.1s
[CV] c1=0.25969741666753743, c2=0.027938172584771492 .................
[CV] c1=0.25969741666753743, c2=0.027938172584771492, score=0.784613 - 1.2s
[CV] c1=0.4878310757485807, c2=0.05686345202582919 ...................
[CV] c1=0.4878310757485807, c2=0.05686345202582919, score=0.567237 - 0.9s
[CV] c1=0.06596113672627639, c2=0.005613954965247502 .................
[CV] c1=0.06596113672627639, c2=0.005613954965247502, score=0.679766 - 1.0s
[CV] c1=0.2467287269984389, c2=0.00376365828037806 ...................
[CV] c1=0.2467287269984389, c2=0.00376365828037806, score=0.710539 - 1.2s
[CV] c1=0.02824756371284651, c2=0.0335948035118798 ...................
[CV] c1=0.02824756371284651, c2=0.0335948035118798, score=0.848001 - 1.1s
[CV] c1=0.25969741666753743, c2=0.027938172584771492 .................
[CV] c1=0.25969741666753743, c2=0.027938172584771492, score=0.920970 - 1.1s
[CV] c1=0.4878310757485807, c2=0.05686345202582919 ...................
[CV] c1=0.4878310757485807, c2=0.05686345202582919, score=0.918945 - 1.2s
[CV] c1=0.3926811460995468, c2=0.0013244367466887003 .................
[CV] c1=0.3926811460995468, c2=0.0013244367466887003, score=0.676244 - 1.0s
[CV] c1=0.2467287269984389, c2=0.00376365828037806 ...................
[CV] c1=0.2467287269984389, c2=0.00376365828037806, score=0.577889 - 1.0s
[CV] c1=0.20710070358327326, c2=0.014282330320157044 .................
[CV] c1=0.20710070358327326, c2=0.014282330320157044, score=0.935924 - 1.1s
[CV] c1=0.4128620881801901, c2=0.04225367471784858 ...................
[CV] c1=0.4128620881801901, c2=0.04225367471784858, score=0.723593 - 1.1s
[CV] c1=0.2505843507627238, c2=0.02792808991248863 ...................
[CV] c1=0.2505843507627238, c2=0.02792808991248863, score=0.921915 - 1.2s
[CV] c1=0.3926811460995468, c2=0.0013244367466887003 .................
[CV] c1=0.3926811460995468, c2=0.0013244367466887003, score=0.562607 - 0.8s
[CV] c1=0.2467287269984389, c2=0.00376365828037806 ...................
[CV] c1=0.2467287269984389, c2=0.00376365828037806, score=0.913072 - 0.9s
[CV] c1=0.02824756371284651, c2=0.0335948035118798 ...................
[CV] c1=0.02824756371284651, c2=0.0335948035118798, score=0.654823 - 1.0s
[CV] c1=0.25969741666753743, c2=0.027938172584771492 .................
[CV] c1=0.25969741666753743, c2=0.027938172584771492, score=0.679766 - 1.0s
[CV] c1=0.4878310757485807, c2=0.05686345202582919 ...................
[CV] c1=0.4878310757485807, c2=0.05686345202582919, score=0.721334 - 1.3s
[CV] c1=0.06596113672627639, c2=0.005613954965247502 .................
[CV] c1=0.06596113672627639, c2=0.005613954965247502, score=0.866790 - 1.1s
[CV] c1=0.2467287269984389, c2=0.00376365828037806 ...................
[CV] c1=0.2467287269984389, c2=0.00376365828037806, score=0.847745 - 1.2s
[CV] c1=0.20710070358327326, c2=0.014282330320157044 .................
[CV] c1=0.20710070358327326, c2=0.014282330320157044, score=0.740663 - 1.0s
[CV] c1=0.25969741666753743, c2=0.027938172584771492 .................
[CV] c1=0.25969741666753743, c2=0.027938172584771492, score=0.899703 - 1.2s
[CV] c1=0.2505843507627238, c2=0.02792808991248863 ...................
[CV] c1=0.2505843507627238, c2=0.02792808991248863, score=0.843585 - 1.1s
[CV] c1=0.06596113672627639, c2=0.005613954965247502 .................
[CV] c1=0.06596113672627639, c2=0.005613954965247502, score=0.632588 - 1.0s
[CV] c1=0.2467287269984389, c2=0.00376365828037806 ...................
[CV] c1=0.2467287269984389, c2=0.00376365828037806, score=0.848001 - 1.1s
[CV] c1=0.20710070358327326, c2=0.014282330320157044 .................
[CV] c1=0.20710070358327326, c2=0.014282330320157044, score=0.752370 - 1.1s
[CV] c1=0.4128620881801901, c2=0.04225367471784858 ...................
[CV] c1=0.4128620881801901, c2=0.04225367471784858, score=0.841313 - 1.1s
[CV] c1=0.2505843507627238, c2=0.02792808991248863 ...................
[CV] c1=0.2505843507627238, c2=0.02792808991248863, score=0.674776 - 1.1s
[CV] c1=0.06596113672627639, c2=0.005613954965247502 .................
[CV] c1=0.06596113672627639, c2=0.005613954965247502, score=0.906853 - 1.1s
[CV] c1=0.2467287269984389, c2=0.00376365828037806 ...................
[CV] c1=0.2467287269984389, c2=0.00376365828037806, score=0.741434 - 1.1s
[CV] c1=0.02824756371284651, c2=0.0335948035118798 ...................
[CV] c1=0.02824756371284651, c2=0.0335948035118798, score=0.661281 - 1.1s
[CV] c1=0.25969741666753743, c2=0.027938172584771492 .................
[CV] c1=0.25969741666753743, c2=0.027938172584771492, score=0.740663 - 1.0s
[CV] c1=0.4878310757485807, c2=0.05686345202582919 ...................
[CV] c1=0.4878310757485807, c2=0.05686345202582919, score=0.774739 - 1.3s
[CV] c1=0.06596113672627639, c2=0.005613954965247502 .................
[CV] c1=0.06596113672627639, c2=0.005613954965247502, score=0.920970 - 1.1s
[CV] c1=0.2467287269984389, c2=0.00376365828037806 ...................
[CV] c1=0.2467287269984389, c2=0.00376365828037806, score=0.773651 - 1.2s
[CV] c1=0.20710070358327326, c2=0.014282330320157044 .................
[CV] c1=0.20710070358327326, c2=0.014282330320157044, score=0.593824 - 1.0s
[CV] c1=0.4128620881801901, c2=0.04225367471784858 ...................
[CV] c1=0.4128620881801901, c2=0.04225367471784858, score=0.679766 - 1.1s
[CV] c1=0.4878310757485807, c2=0.05686345202582919 ...................
[CV] c1=0.4878310757485807, c2=0.05686345202582919, score=0.883954 - 1.1s
[CV] c1=0.06596113672627639, c2=0.005613954965247502 .................
[CV] c1=0.06596113672627639, c2=0.005613954965247502, score=0.935386 - 1.2s
[CV] c1=0.0026565296514331023, c2=0.05402001809214133 ................
[CV] c1=0.0026565296514331023, c2=0.05402001809214133, score=0.654823 - 1.0s
[CV] c1=0.20710070358327326, c2=0.014282330320157044 .................
[CV] c1=0.20710070358327326, c2=0.014282330320157044, score=0.721334 - 1.2s
[CV] c1=0.4128620881801901, c2=0.04225367471784858 ...................
[CV] c1=0.4128620881801901, c2=0.04225367471784858, score=0.760479 - 1.1s
[CV] c1=0.2505843507627238, c2=0.02792808991248863 ...................
[CV] c1=0.2505843507627238, c2=0.02792808991248863, score=0.758128 - 1.1s
[CV] c1=0.3926811460995468, c2=0.0013244367466887003 .................
[CV] c1=0.3926811460995468, c2=0.0013244367466887003, score=0.899703 - 1.1s
[CV] c1=0.0026565296514331023, c2=0.05402001809214133 ................
[CV] c1=0.0026565296514331023, c2=0.05402001809214133, score=0.603356 - 1.0s
[CV] c1=0.02824756371284651, c2=0.0335948035118798 ...................
[CV] c1=0.02824756371284651, c2=0.0335948035118798, score=0.935386 - 1.1s
[CV] c1=0.25969741666753743, c2=0.027938172584771492 .................
[CV] c1=0.25969741666753743, c2=0.027938172584771492, score=0.586182 - 1.0s
[CV] c1=0.4878310757485807, c2=0.05686345202582919 ...................
[CV] c1=0.4878310757485807, c2=0.05686345202582919, score=0.819818 - 1.1s
[CV] c1=0.06596113672627639, c2=0.005613954965247502 .................
[CV] c1=0.06596113672627639, c2=0.005613954965247502, score=0.852146 - 1.2s
[CV] c1=0.2467287269984389, c2=0.00376365828037806 ...................
[CV] c1=0.2467287269984389, c2=0.00376365828037806, score=0.937768 - 1.3s
[CV] c1=0.6194603776098887, c2=0.003983838476166578 ..................
[CV] c1=0.6194603776098887, c2=0.003983838476166578, score=0.753693 - 1.1s
[CV] c1=1.529507873115847, c2=0.024136783344165424 ...................
[CV] c1=1.529507873115847, c2=0.024136783344165424, score=0.588945 - 1.0s
[CV] c1=0.2505843507627238, c2=0.02792808991248863 ...................
[CV] c1=0.2505843507627238, c2=0.02792808991248863, score=0.587654 - 0.9s
[CV] c1=0.06596113672627639, c2=0.005613954965247502 .................
[CV] c1=0.06596113672627639, c2=0.005613954965247502, score=0.763058 - 1.2s
[CV] c1=0.0026565296514331023, c2=0.05402001809214133 ................
[CV] c1=0.0026565296514331023, c2=0.05402001809214133, score=0.727470 - 1.2s
[CV] c1=0.02824756371284651, c2=0.0335948035118798 ...................
[CV] c1=0.02824756371284651, c2=0.0335948035118798, score=0.723492 - 1.0s
[CV] c1=0.25969741666753743, c2=0.027938172584771492 .................
[CV] c1=0.25969741666753743, c2=0.027938172584771492, score=0.721334 - 1.2s
[CV] c1=0.4878310757485807, c2=0.05686345202582919 ...................
[CV] c1=0.4878310757485807, c2=0.05686345202582919, score=0.852821 - 1.3s
[CV] c1=0.3926811460995468, c2=0.0013244367466887003 .................
[CV] c1=0.3926811460995468, c2=0.0013244367466887003, score=0.703150 - 1.1s
[CV] c1=0.0026565296514331023, c2=0.05402001809214133 ................
[CV] c1=0.0026565296514331023, c2=0.05402001809214133, score=0.767606 - 1.1s
[CV] c1=0.20710070358327326, c2=0.014282330320157044 .................
[CV] c1=0.20710070358327326, c2=0.014282330320157044, score=0.921915 - 1.2s
[CV] c1=0.4128620881801901, c2=0.04225367471784858 ...................
[CV] c1=0.4128620881801901, c2=0.04225367471784858, score=0.561061 - 0.9s
[CV] c1=0.4878310757485807, c2=0.05686345202582919 ...................
[CV] c1=0.4878310757485807, c2=0.05686345202582919, score=0.723593 - 1.3s
[CV] c1=0.3926811460995468, c2=0.0013244367466887003 .................
[CV] c1=0.3926811460995468, c2=0.0013244367466887003, score=0.866790 - 1.1s
[CV] c1=0.0026565296514331023, c2=0.05402001809214133 ................
[CV] c1=0.0026565296514331023, c2=0.05402001809214133, score=0.866790 - 1.2s
[CV] c1=1.1631641707070273, c2=0.023763063982595384 ..................
[CV] c1=1.1631641707070273, c2=0.023763063982595384, score=0.790142 - 1.0s
[CV] c1=1.529507873115847, c2=0.024136783344165424 ...................
[CV] c1=1.529507873115847, c2=0.024136783344165424, score=0.526414 - 0.9s
[CV] c1=0.02551053031873781, c2=0.07127942992256919 ..................
[CV] c1=0.02551053031873781, c2=0.07127942992256919, score=0.654823 - 1.0s
[CV] c1=0.3926811460995468, c2=0.0013244367466887003 .................
[CV] c1=0.3926811460995468, c2=0.0013244367466887003, score=0.915812 - 1.0s
[CV] c1=0.0026565296514331023, c2=0.05402001809214133 ................
[CV] c1=0.0026565296514331023, c2=0.05402001809214133, score=0.867500 - 1.2s
[CV] c1=0.02824756371284651, c2=0.0335948035118798 ...................
[CV] c1=0.02824756371284651, c2=0.0335948035118798, score=0.867500 - 1.1s
[CV] c1=0.25969741666753743, c2=0.027938172584771492 .................
[CV] c1=0.25969741666753743, c2=0.027938172584771492, score=0.866790 - 1.1s
[CV] c1=0.4878310757485807, c2=0.05686345202582919 ...................
[CV] c1=0.4878310757485807, c2=0.05686345202582919, score=0.760479 - 1.2s
[CV] c1=0.06596113672627639, c2=0.005613954965247502 .................
[CV] c1=0.06596113672627639, c2=0.005613954965247502, score=0.741434 - 1.2s
[CV] c1=0.2467287269984389, c2=0.00376365828037806 ...................
[CV] c1=0.2467287269984389, c2=0.00376365828037806, score=0.899703 - 1.3s
[CV] c1=0.20710070358327326, c2=0.014282330320157044 .................
[CV] c1=0.20710070358327326, c2=0.014282330320157044, score=0.838429 - 1.1s
[CV] c1=0.4128620881801901, c2=0.04225367471784858 ...................
[CV] c1=0.4128620881801901, c2=0.04225367471784858, score=0.721334 - 1.2s
[CV] c1=0.2505843507627238, c2=0.02792808991248863 ...................
[CV] c1=0.2505843507627238, c2=0.02792808991248863, score=0.740663 - 1.2s
[CV] c1=0.6144514862830527, c2=0.07803079130334861 ...................
[CV] c1=0.6144514862830527, c2=0.07803079130334861, score=0.628917 - 1.1s
[CV] c1=0.6228806234995589, c2=0.261535114687589 .....................
[CV] c1=0.6228806234995589, c2=0.261535114687589, score=0.624832 - 1.0s
[CV] c1=0.20710070358327326, c2=0.014282330320157044 .................
[CV] c1=0.20710070358327326, c2=0.014282330320157044, score=0.906853 - 1.1s
[CV] c1=0.4128620881801901, c2=0.04225367471784858 ...................
[CV] c1=0.4128620881801901, c2=0.04225367471784858, score=0.899703 - 1.1s
[CV] c1=0.2505843507627238, c2=0.02792808991248863 ...................
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[CV] c1=0.02551053031873781, c2=0.07127942992256919 ..................
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[CV] c1=0.6144514862830527, c2=0.07803079130334861 ...................
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[CV] c1=0.6228806234995589, c2=0.261535114687589 .....................
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[CV] c1=0.4878310757485807, c2=0.05686345202582919 ...................
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[CV] c1=0.06596113672627639, c2=0.005613954965247502 .................
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[CV] c1=0.2467287269984389, c2=0.00376365828037806 ...................
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[CV] c1=0.07271681477281164, c2=0.02046865622687442 ..................
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[CV] c1=1.1631641707070273, c2=0.023763063982595384 ..................
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[CV] c1=0.2526516086542792, c2=0.00238624899782224 ...................
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[CV] c1=0.02551053031873781, c2=0.07127942992256919 ..................
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[CV] c1=0.6144514862830527, c2=0.07803079130334861 ...................
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[CV] c1=0.6228806234995589, c2=0.261535114687589 .....................
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[CV] c1=0.6194603776098887, c2=0.003983838476166578 ..................
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[CV] c1=0.2526516086542792, c2=0.00238624899782224 ...................
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[CV] c1=0.4486050985597108, c2=0.00923136182458732 ...................
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[CV] c1=0.39114608628354247, c2=0.04029658321961293 ..................
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[CV] c1=0.07271681477281164, c2=0.02046865622687442 ..................
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[CV] c1=0.6194603776098887, c2=0.003983838476166578 ..................
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[CV] c1=1.529507873115847, c2=0.024136783344165424 ...................
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[CV] c1=0.02551053031873781, c2=0.07127942992256919 ..................
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[CV] c1=0.6144514862830527, c2=0.07803079130334861 ...................
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[CV] c1=0.6228806234995589, c2=0.261535114687589 .....................
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[CV] c1=1.1631641707070273, c2=0.023763063982595384 ..................
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[CV] c1=0.4486050985597108, c2=0.00923136182458732 ...................
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[CV] c1=0.39114608628354247, c2=0.04029658321961293 ..................
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[CV] c1=0.6194603776098887, c2=0.003983838476166578 ..................
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[CV] c1=0.2526516086542792, c2=0.00238624899782224 ...................
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[CV] c1=0.4486050985597108, c2=0.00923136182458732 ...................
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[CV] c1=0.39114608628354247, c2=0.04029658321961293 ..................
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[CV] c1=0.07271681477281164, c2=0.02046865622687442 ..................
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[CV] c1=0.6194603776098887, c2=0.003983838476166578 ..................
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[CV] c1=0.39114608628354247, c2=0.04029658321961293 ..................
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[CV] c1=0.07271681477281164, c2=0.02046865622687442 ..................
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[CV] c1=1.1631641707070273, c2=0.023763063982595384 ..................
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[CV] c1=1.1631641707070273, c2=0.023763063982595384 ..................
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[CV] c1=0.4486050985597108, c2=0.00923136182458732 ...................
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[CV] c1=1.1631641707070273, c2=0.023763063982595384 ..................
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[CV] c1=0.2526516086542792, c2=0.00238624899782224 ...................
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[CV] c1=0.4486050985597108, c2=0.00923136182458732 ...................
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[CV] c1=0.39114608628354247, c2=0.04029658321961293 ..................
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[CV] c1=0.07271681477281164, c2=0.02046865622687442 ..................
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[CV] c1=1.1631641707070273, c2=0.023763063982595384 ..................
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[CV] c1=0.2526516086542792, c2=0.00238624899782224 ...................
[CV] c1=0.2526516086542792, c2=0.00238624899782224, score=0.899703 - 1.1s
[CV] c1=0.4486050985597108, c2=0.00923136182458732 ...................
[CV] c1=0.4486050985597108, c2=0.00923136182458732, score=0.556932 - 0.9s
[CV] c1=0.39114608628354247, c2=0.04029658321961293 ..................
[CV] c1=0.39114608628354247, c2=0.04029658321961293, score=0.679766 - 1.1s
[CV] c1=0.07271681477281164, c2=0.02046865622687442 ..................
[CV] c1=0.07271681477281164, c2=0.02046865622687442, score=0.720311 - 0.9s
Training done in: 7.364966s
Saving training model...
Saving training model done in: 0.014886s
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Prediction done in: 0.025883s