Run_7.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: 0.003575s
-------------------------------- 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
10 -2:lemma Cra
11 -2:postag NNP
--------------------------- 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 _
13 -2:lemma affyexp
14 -2:postag JJ
15 +2:lemma glucose
16 +2:postag NN
Fitting 10 folds for each of 20 candidates, totalling 200 fits
[CV] c1=1.1125641437191895, c2=0.06613233343219797 ...................
[CV] c1=1.1125641437191895, c2=0.06613233343219797, score=0.778117 - 1.3s
[CV] c1=0.24222541975427525, c2=0.02858668949001732 ..................
[CV] c1=0.24222541975427525, c2=0.02858668949001732, score=0.853767 - 1.5s
[CV] c1=0.3531857394293691, c2=0.028403481397008597 ..................
[CV] c1=0.3531857394293691, c2=0.028403481397008597, score=0.931253 - 1.4s
[CV] c1=1.7692696573575095, c2=0.014769125134101722 ..................
[CV] c1=1.7692696573575095, c2=0.014769125134101722, score=0.593248 - 1.6s
[CV] c1=0.31697105278313065, c2=0.1627674927353806 ...................
[CV] c1=0.31697105278313065, c2=0.1627674927353806, score=0.927267 - 1.4s
[CV] c1=1.1125641437191895, c2=0.06613233343219797 ...................
[CV] c1=1.1125641437191895, c2=0.06613233343219797, score=0.798145 - 0.9s
[CV] c1=0.24222541975427525, c2=0.02858668949001732 ..................
[CV] c1=0.24222541975427525, c2=0.02858668949001732, score=0.885817 - 1.6s
[CV] c1=0.3531857394293691, c2=0.028403481397008597 ..................
[CV] c1=0.3531857394293691, c2=0.028403481397008597, score=0.856059 - 1.4s
[CV] c1=1.7692696573575095, c2=0.014769125134101722 ..................
[CV] c1=1.7692696573575095, c2=0.014769125134101722, score=0.766544 - 1.6s
[CV] c1=0.31697105278313065, c2=0.1627674927353806 ...................
[CV] c1=0.31697105278313065, c2=0.1627674927353806, score=0.897630 - 1.4s
[CV] c1=1.1125641437191895, c2=0.06613233343219797 ...................
[CV] c1=1.1125641437191895, c2=0.06613233343219797, score=0.885973 - 1.0s
[CV] c1=0.24222541975427525, c2=0.02858668949001732 ..................
[CV] c1=0.24222541975427525, c2=0.02858668949001732, score=0.866353 - 1.4s
[CV] c1=0.004944498956920931, c2=0.035071672138884735 ................
[CV] c1=0.004944498956920931, c2=0.035071672138884735, score=0.938157 - 1.5s
[CV] c1=1.064584223532424, c2=0.010140146677527086 ...................
[CV] c1=1.064584223532424, c2=0.010140146677527086, score=0.907533 - 1.5s
[CV] c1=0.31697105278313065, c2=0.1627674927353806 ...................
[CV] c1=0.31697105278313065, c2=0.1627674927353806, score=0.794758 - 1.6s
[CV] c1=1.1125641437191895, c2=0.06613233343219797 ...................
[CV] c1=1.1125641437191895, c2=0.06613233343219797, score=0.853967 - 1.2s
[CV] c1=0.24222541975427525, c2=0.02858668949001732 ..................
[CV] c1=0.24222541975427525, c2=0.02858668949001732, score=0.931991 - 1.5s
[CV] c1=0.3531857394293691, c2=0.028403481397008597 ..................
[CV] c1=0.3531857394293691, c2=0.028403481397008597, score=0.695368 - 1.6s
[CV] c1=1.7692696573575095, c2=0.014769125134101722 ..................
[CV] c1=1.7692696573575095, c2=0.014769125134101722, score=0.793626 - 1.5s
[CV] c1=0.31697105278313065, c2=0.1627674927353806 ...................
[CV] c1=0.31697105278313065, c2=0.1627674927353806, score=0.798753 - 1.5s
[CV] c1=1.1125641437191895, c2=0.06613233343219797 ...................
[CV] c1=1.1125641437191895, c2=0.06613233343219797, score=0.812996 - 1.2s
[CV] c1=0.24222541975427525, c2=0.02858668949001732 ..................
[CV] c1=0.24222541975427525, c2=0.02858668949001732, score=0.836597 - 1.6s
[CV] c1=0.3531857394293691, c2=0.028403481397008597 ..................
[CV] c1=0.3531857394293691, c2=0.028403481397008597, score=0.853767 - 1.5s
[CV] c1=1.7692696573575095, c2=0.014769125134101722 ..................
[CV] c1=1.7692696573575095, c2=0.014769125134101722, score=0.880703 - 1.4s
[CV] c1=0.31697105278313065, c2=0.1627674927353806 ...................
[CV] c1=0.31697105278313065, c2=0.1627674927353806, score=0.707282 - 1.6s
[CV] c1=1.1125641437191895, c2=0.06613233343219797 ...................
[CV] c1=1.1125641437191895, c2=0.06613233343219797, score=0.601824 - 1.2s
[CV] c1=0.24222541975427525, c2=0.02858668949001732 ..................
[CV] c1=0.24222541975427525, c2=0.02858668949001732, score=0.717781 - 1.6s
[CV] c1=0.3531857394293691, c2=0.028403481397008597 ..................
[CV] c1=0.3531857394293691, c2=0.028403481397008597, score=0.814418 - 1.6s
[CV] c1=1.7692696573575095, c2=0.014769125134101722 ..................
[CV] c1=1.7692696573575095, c2=0.014769125134101722, score=0.813706 - 1.5s
[CV] c1=0.31697105278313065, c2=0.1627674927353806 ...................
[CV] c1=0.31697105278313065, c2=0.1627674927353806, score=0.848812 - 1.5s
[CV] c1=1.1125641437191895, c2=0.06613233343219797 ...................
[CV] c1=1.1125641437191895, c2=0.06613233343219797, score=0.818821 - 1.2s
[CV] c1=0.24222541975427525, c2=0.02858668949001732 ..................
[CV] c1=0.24222541975427525, c2=0.02858668949001732, score=0.892921 - 1.5s
[CV] c1=0.3531857394293691, c2=0.028403481397008597 ..................
[CV] c1=0.3531857394293691, c2=0.028403481397008597, score=0.913784 - 1.6s
[CV] c1=1.7692696573575095, c2=0.014769125134101722 ..................
[CV] c1=1.7692696573575095, c2=0.014769125134101722, score=0.800038 - 1.5s
[CV] c1=0.31697105278313065, c2=0.1627674927353806 ...................
[CV] c1=0.31697105278313065, c2=0.1627674927353806, score=0.913784 - 1.5s
[CV] c1=1.1125641437191895, c2=0.06613233343219797 ...................
[CV] c1=1.1125641437191895, c2=0.06613233343219797, score=0.903311 - 1.3s
[CV] c1=0.41912632470724565, c2=0.1640401199474577 ...................
[CV] c1=0.41912632470724565, c2=0.1640401199474577, score=0.765908 - 1.6s
[CV] c1=0.6198895769639643, c2=0.0028009206253587736 .................
[CV] c1=0.6198895769639643, c2=0.0028009206253587736, score=0.845227 - 1.4s
[CV] c1=1.7692696573575095, c2=0.014769125134101722 ..................
[CV] c1=1.7692696573575095, c2=0.014769125134101722, score=0.738812 - 1.5s
[CV] c1=0.31697105278313065, c2=0.1627674927353806 ...................
[CV] c1=0.31697105278313065, c2=0.1627674927353806, score=0.868921 - 1.4s
[CV] c1=0.1250735526885256, c2=0.03442702231914988 ...................
[CV] c1=0.1250735526885256, c2=0.03442702231914988, score=0.889602 - 1.1s
[CV] c1=0.24222541975427525, c2=0.02858668949001732 ..................
[CV] c1=0.24222541975427525, c2=0.02858668949001732, score=0.913784 - 1.8s
[CV] c1=0.6198895769639643, c2=0.0028009206253587736 .................
[CV] c1=0.6198895769639643, c2=0.0028009206253587736, score=0.818750 - 1.5s
[CV] c1=0.03780171336875179, c2=0.012718090480016972 .................
[CV] c1=0.03780171336875179, c2=0.012718090480016972, score=0.867753 - 1.4s
[CV] c1=0.6177967356330287, c2=0.0501823034129141 ....................
[CV] c1=0.6177967356330287, c2=0.0501823034129141, score=0.631304 - 1.2s
[CV] c1=1.1125641437191895, c2=0.06613233343219797 ...................
[CV] c1=1.1125641437191895, c2=0.06613233343219797, score=0.764357 - 1.3s
[CV] c1=0.24222541975427525, c2=0.02858668949001732 ..................
[CV] c1=0.24222541975427525, c2=0.02858668949001732, score=0.827578 - 1.5s
[CV] c1=0.3531857394293691, c2=0.028403481397008597 ..................
[CV] c1=0.3531857394293691, c2=0.028403481397008597, score=0.811515 - 1.5s
[CV] c1=1.7692696573575095, c2=0.014769125134101722 ..................
[CV] c1=1.7692696573575095, c2=0.014769125134101722, score=0.866963 - 1.6s
[CV] c1=0.31697105278313065, c2=0.1627674927353806 ...................
[CV] c1=0.31697105278313065, c2=0.1627674927353806, score=0.783556 - 1.5s
[CV] c1=0.1250735526885256, c2=0.03442702231914988 ...................
[CV] c1=0.1250735526885256, c2=0.03442702231914988, score=0.852879 - 1.4s
[CV] c1=0.41912632470724565, c2=0.1640401199474577 ...................
[CV] c1=0.41912632470724565, c2=0.1640401199474577, score=0.913784 - 1.6s
[CV] c1=0.6198895769639643, c2=0.0028009206253587736 .................
[CV] c1=0.6198895769639643, c2=0.0028009206253587736, score=0.912193 - 1.5s
[CV] c1=0.35050990293106027, c2=0.062158504077829205 .................
[CV] c1=0.35050990293106027, c2=0.062158504077829205, score=0.866353 - 1.4s
[CV] c1=0.6177967356330287, c2=0.0501823034129141 ....................
[CV] c1=0.6177967356330287, c2=0.0501823034129141, score=0.900039 - 1.3s
[CV] c1=0.4089586111008682, c2=0.07211995679529591 ...................
[CV] c1=0.4089586111008682, c2=0.07211995679529591, score=0.866353 - 1.4s
[CV] c1=0.41912632470724565, c2=0.1640401199474577 ...................
[CV] c1=0.41912632470724565, c2=0.1640401199474577, score=0.853559 - 1.4s
[CV] c1=0.6198895769639643, c2=0.0028009206253587736 .................
[CV] c1=0.6198895769639643, c2=0.0028009206253587736, score=0.900039 - 1.5s
[CV] c1=0.03780171336875179, c2=0.012718090480016972 .................
[CV] c1=0.03780171336875179, c2=0.012718090480016972, score=0.869996 - 1.4s
[CV] c1=0.6177967356330287, c2=0.0501823034129141 ....................
[CV] c1=0.6177967356330287, c2=0.0501823034129141, score=0.859362 - 1.3s
[CV] c1=0.1250735526885256, c2=0.03442702231914988 ...................
[CV] c1=0.1250735526885256, c2=0.03442702231914988, score=0.863001 - 1.3s
[CV] c1=0.41912632470724565, c2=0.1640401199474577 ...................
[CV] c1=0.41912632470724565, c2=0.1640401199474577, score=0.849838 - 1.4s
[CV] c1=0.6198895769639643, c2=0.0028009206253587736 .................
[CV] c1=0.6198895769639643, c2=0.0028009206253587736, score=0.925823 - 1.4s
[CV] c1=0.03780171336875179, c2=0.012718090480016972 .................
[CV] c1=0.03780171336875179, c2=0.012718090480016972, score=0.913214 - 1.6s
[CV] c1=0.6177967356330287, c2=0.0501823034129141 ....................
[CV] c1=0.6177967356330287, c2=0.0501823034129141, score=0.906331 - 1.4s
[CV] c1=0.1250735526885256, c2=0.03442702231914988 ...................
[CV] c1=0.1250735526885256, c2=0.03442702231914988, score=0.818254 - 1.3s
[CV] c1=0.41912632470724565, c2=0.1640401199474577 ...................
[CV] c1=0.41912632470724565, c2=0.1640401199474577, score=0.686298 - 1.5s
[CV] c1=0.6198895769639643, c2=0.0028009206253587736 .................
[CV] c1=0.6198895769639643, c2=0.0028009206253587736, score=0.680687 - 1.6s
[CV] c1=0.03780171336875179, c2=0.012718090480016972 .................
[CV] c1=0.03780171336875179, c2=0.012718090480016972, score=0.931991 - 1.4s
[CV] c1=0.6177967356330287, c2=0.0501823034129141 ....................
[CV] c1=0.6177967356330287, c2=0.0501823034129141, score=0.867607 - 1.4s
[CV] c1=1.1125641437191895, c2=0.06613233343219797 ...................
[CV] c1=1.1125641437191895, c2=0.06613233343219797, score=0.902496 - 1.5s
[CV] c1=0.41912632470724565, c2=0.1640401199474577 ...................
[CV] c1=0.41912632470724565, c2=0.1640401199474577, score=0.790902 - 1.6s
[CV] c1=0.6198895769639643, c2=0.0028009206253587736 .................
[CV] c1=0.6198895769639643, c2=0.0028009206253587736, score=0.857043 - 1.5s
[CV] c1=0.03780171336875179, c2=0.012718090480016972 .................
[CV] c1=0.03780171336875179, c2=0.012718090480016972, score=0.809731 - 1.6s
[CV] c1=0.6177967356330287, c2=0.0501823034129141 ....................
[CV] c1=0.6177967356330287, c2=0.0501823034129141, score=0.840372 - 1.3s
[CV] c1=0.1250735526885256, c2=0.03442702231914988 ...................
[CV] c1=0.1250735526885256, c2=0.03442702231914988, score=0.727697 - 1.4s
[CV] c1=0.41912632470724565, c2=0.1640401199474577 ...................
[CV] c1=0.41912632470724565, c2=0.1640401199474577, score=0.917874 - 1.4s
[CV] c1=0.6198895769639643, c2=0.0028009206253587736 .................
[CV] c1=0.6198895769639643, c2=0.0028009206253587736, score=0.797760 - 1.6s
[CV] c1=0.03780171336875179, c2=0.012718090480016972 .................
[CV] c1=0.03780171336875179, c2=0.012718090480016972, score=0.727697 - 1.5s
[CV] c1=0.6177967356330287, c2=0.0501823034129141 ....................
[CV] c1=0.6177967356330287, c2=0.0501823034129141, score=0.819378 - 1.5s
[CV] c1=0.1250735526885256, c2=0.03442702231914988 ...................
[CV] c1=0.1250735526885256, c2=0.03442702231914988, score=0.833325 - 1.5s
[CV] c1=0.3431081113231949, c2=0.10070913156646599 ...................
[CV] c1=0.3431081113231949, c2=0.10070913156646599, score=0.888803 - 1.4s
[CV] c1=0.6198895769639643, c2=0.0028009206253587736 .................
[CV] c1=0.6198895769639643, c2=0.0028009206253587736, score=0.851826 - 1.4s
[CV] c1=0.03780171336875179, c2=0.012718090480016972 .................
[CV] c1=0.03780171336875179, c2=0.012718090480016972, score=0.969518 - 1.6s
[CV] c1=0.6177967356330287, c2=0.0501823034129141 ....................
[CV] c1=0.6177967356330287, c2=0.0501823034129141, score=0.917037 - 1.3s
[CV] c1=0.9489299883913463, c2=0.08651523595457483 ...................
[CV] c1=0.9489299883913463, c2=0.08651523595457483, score=0.832339 - 1.5s
[CV] c1=0.004944498956920931, c2=0.035071672138884735 ................
[CV] c1=0.004944498956920931, c2=0.035071672138884735, score=0.847604 - 1.5s
[CV] c1=1.064584223532424, c2=0.010140146677527086 ...................
[CV] c1=1.064584223532424, c2=0.010140146677527086, score=0.798145 - 1.3s
[CV] c1=0.35050990293106027, c2=0.062158504077829205 .................
[CV] c1=0.35050990293106027, c2=0.062158504077829205, score=0.884921 - 1.4s
[CV] c1=0.11098709687950105, c2=0.0012964773754647193 ................
[CV] c1=0.11098709687950105, c2=0.0012964773754647193, score=0.722395 - 1.2s
[CV] c1=0.1250735526885256, c2=0.03442702231914988 ...................
[CV] c1=0.1250735526885256, c2=0.03442702231914988, score=0.931814 - 1.4s
[CV] c1=0.41912632470724565, c2=0.1640401199474577 ...................
[CV] c1=0.41912632470724565, c2=0.1640401199474577, score=0.939034 - 1.6s
[CV] c1=0.5525328047238595, c2=0.09184172427704333 ...................
[CV] c1=0.5525328047238595, c2=0.09184172427704333, score=0.842339 - 1.4s
[CV] c1=0.03780171336875179, c2=0.012718090480016972 .................
[CV] c1=0.03780171336875179, c2=0.012718090480016972, score=0.842929 - 1.5s
[CV] c1=0.6177967356330287, c2=0.0501823034129141 ....................
[CV] c1=0.6177967356330287, c2=0.0501823034129141, score=0.804932 - 1.4s
[CV] c1=0.1250735526885256, c2=0.03442702231914988 ...................
[CV] c1=0.1250735526885256, c2=0.03442702231914988, score=0.951585 - 1.5s
[CV] c1=0.41912632470724565, c2=0.1640401199474577 ...................
[CV] c1=0.41912632470724565, c2=0.1640401199474577, score=0.780124 - 1.5s
[CV] c1=0.6198895769639643, c2=0.0028009206253587736 .................
[CV] c1=0.6198895769639643, c2=0.0028009206253587736, score=0.803867 - 1.5s
[CV] c1=0.03780171336875179, c2=0.012718090480016972 .................
[CV] c1=0.03780171336875179, c2=0.012718090480016972, score=0.923193 - 1.5s
[CV] c1=0.11098709687950105, c2=0.0012964773754647193 ................
[CV] c1=0.11098709687950105, c2=0.0012964773754647193, score=0.866911 - 1.3s
[CV] c1=0.4089586111008682, c2=0.07211995679529591 ...................
[CV] c1=0.4089586111008682, c2=0.07211995679529591, score=0.848812 - 1.5s
[CV] c1=0.3431081113231949, c2=0.10070913156646599 ...................
[CV] c1=0.3431081113231949, c2=0.10070913156646599, score=0.913784 - 1.6s
[CV] c1=0.5525328047238595, c2=0.09184172427704333 ...................
[CV] c1=0.5525328047238595, c2=0.09184172427704333, score=0.849422 - 1.4s
[CV] c1=0.35050990293106027, c2=0.062158504077829205 .................
[CV] c1=0.35050990293106027, c2=0.062158504077829205, score=0.853767 - 1.4s
[CV] c1=0.11098709687950105, c2=0.0012964773754647193 ................
[CV] c1=0.11098709687950105, c2=0.0012964773754647193, score=0.931991 - 1.3s
[CV] c1=0.1250735526885256, c2=0.03442702231914988 ...................
[CV] c1=0.1250735526885256, c2=0.03442702231914988, score=0.931991 - 1.2s
[CV] c1=0.24222541975427525, c2=0.02858668949001732 ..................
[CV] c1=0.24222541975427525, c2=0.02858668949001732, score=0.927980 - 1.6s
[CV] c1=0.3531857394293691, c2=0.028403481397008597 ..................
[CV] c1=0.3531857394293691, c2=0.028403481397008597, score=0.928742 - 1.6s
[CV] c1=0.03780171336875179, c2=0.012718090480016972 .................
[CV] c1=0.03780171336875179, c2=0.012718090480016972, score=0.889602 - 1.4s
[CV] c1=0.31697105278313065, c2=0.1627674927353806 ...................
[CV] c1=0.31697105278313065, c2=0.1627674927353806, score=0.942868 - 1.5s
[CV] c1=0.4089586111008682, c2=0.07211995679529591 ...................
[CV] c1=0.4089586111008682, c2=0.07211995679529591, score=0.928742 - 1.4s
[CV] c1=0.3431081113231949, c2=0.10070913156646599 ...................
[CV] c1=0.3431081113231949, c2=0.10070913156646599, score=0.808180 - 1.5s
[CV] c1=0.5525328047238595, c2=0.09184172427704333 ...................
[CV] c1=0.5525328047238595, c2=0.09184172427704333, score=0.804932 - 1.5s
[CV] c1=0.35050990293106027, c2=0.062158504077829205 .................
[CV] c1=0.35050990293106027, c2=0.062158504077829205, score=0.808180 - 1.5s
[CV] c1=0.11098709687950105, c2=0.0012964773754647193 ................
[CV] c1=0.11098709687950105, c2=0.0012964773754647193, score=0.931814 - 1.1s
[CV] c1=0.1250735526885256, c2=0.03442702231914988 ...................
[CV] c1=0.1250735526885256, c2=0.03442702231914988, score=0.847604 - 1.3s
[CV] c1=0.41912632470724565, c2=0.1640401199474577 ...................
[CV] c1=0.41912632470724565, c2=0.1640401199474577, score=0.855349 - 1.4s
[CV] c1=0.3531857394293691, c2=0.028403481397008597 ..................
[CV] c1=0.3531857394293691, c2=0.028403481397008597, score=0.892921 - 1.6s
[CV] c1=1.7692696573575095, c2=0.014769125134101722 ..................
[CV] c1=1.7692696573575095, c2=0.014769125134101722, score=0.902216 - 1.6s
[CV] c1=0.6177967356330287, c2=0.0501823034129141 ....................
[CV] c1=0.6177967356330287, c2=0.0501823034129141, score=0.795123 - 1.6s
[CV] c1=0.4089586111008682, c2=0.07211995679529591 ...................
[CV] c1=0.4089586111008682, c2=0.07211995679529591, score=0.808180 - 1.6s
[CV] c1=0.3431081113231949, c2=0.10070913156646599 ...................
[CV] c1=0.3431081113231949, c2=0.10070913156646599, score=0.939034 - 1.5s
[CV] c1=1.064584223532424, c2=0.010140146677527086 ...................
[CV] c1=1.064584223532424, c2=0.010140146677527086, score=0.795123 - 1.5s
[CV] c1=0.004633722592074594, c2=0.10886882710897013 .................
[CV] c1=0.004633722592074594, c2=0.10886882710897013, score=0.707282 - 1.5s
[CV] c1=1.138816237017488, c2=0.03695236961293207 ....................
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[CV] c1=0.9489299883913463, c2=0.08651523595457483 ...................
[CV] c1=0.9489299883913463, c2=0.08651523595457483, score=0.778117 - 1.6s
[CV] c1=0.004944498956920931, c2=0.035071672138884735 ................
[CV] c1=0.004944498956920931, c2=0.035071672138884735, score=0.826198 - 1.5s
[CV] c1=1.064584223532424, c2=0.010140146677527086 ...................
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[CV] c1=0.004633722592074594, c2=0.10886882710897013 .................
[CV] c1=0.004633722592074594, c2=0.10886882710897013, score=0.884219 - 1.3s
[CV] c1=0.11098709687950105, c2=0.0012964773754647193 ................
[CV] c1=0.11098709687950105, c2=0.0012964773754647193, score=0.858948 - 1.1s
[CV] c1=0.4089586111008682, c2=0.07211995679529591 ...................
[CV] c1=0.4089586111008682, c2=0.07211995679529591, score=0.864761 - 1.4s
[CV] c1=0.3431081113231949, c2=0.10070913156646599 ...................
[CV] c1=0.3431081113231949, c2=0.10070913156646599, score=0.848812 - 1.4s
[CV] c1=0.5525328047238595, c2=0.09184172427704333 ...................
[CV] c1=0.5525328047238595, c2=0.09184172427704333, score=0.917433 - 1.4s
[CV] c1=0.35050990293106027, c2=0.062158504077829205 .................
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[CV] c1=0.11098709687950105, c2=0.0012964773754647193 ................
[CV] c1=0.11098709687950105, c2=0.0012964773754647193, score=0.854195 - 1.3s
[CV] c1=0.9489299883913463, c2=0.08651523595457483 ...................
[CV] c1=0.9489299883913463, c2=0.08651523595457483, score=0.601824 - 1.5s
[CV] c1=0.004944498956920931, c2=0.035071672138884735 ................
[CV] c1=0.004944498956920931, c2=0.035071672138884735, score=0.707282 - 1.5s
[CV] c1=1.064584223532424, c2=0.010140146677527086 ...................
[CV] c1=1.064584223532424, c2=0.010140146677527086, score=0.812996 - 1.5s
[CV] c1=0.004633722592074594, c2=0.10886882710897013 .................
[CV] c1=0.004633722592074594, c2=0.10886882710897013, score=0.927267 - 1.3s
[CV] c1=1.138816237017488, c2=0.03695236961293207 ....................
[CV] c1=1.138816237017488, c2=0.03695236961293207, score=0.798145 - 1.2s
[CV] c1=0.4089586111008682, c2=0.07211995679529591 ...................
[CV] c1=0.4089586111008682, c2=0.07211995679529591, score=0.696344 - 1.4s
[CV] c1=0.3431081113231949, c2=0.10070913156646599 ...................
[CV] c1=0.3431081113231949, c2=0.10070913156646599, score=0.804491 - 1.5s
[CV] c1=0.5525328047238595, c2=0.09184172427704333 ...................
[CV] c1=0.5525328047238595, c2=0.09184172427704333, score=0.686298 - 1.5s
[CV] c1=0.35050990293106027, c2=0.062158504077829205 .................
[CV] c1=0.35050990293106027, c2=0.062158504077829205, score=0.931991 - 1.4s
[CV] c1=0.11098709687950105, c2=0.0012964773754647193 ................
[CV] c1=0.11098709687950105, c2=0.0012964773754647193, score=0.826012 - 1.4s
[CV] c1=0.4089586111008682, c2=0.07211995679529591 ...................
[CV] c1=0.4089586111008682, c2=0.07211995679529591, score=0.913784 - 1.5s
[CV] c1=0.3431081113231949, c2=0.10070913156646599 ...................
[CV] c1=0.3431081113231949, c2=0.10070913156646599, score=0.884106 - 1.4s
[CV] c1=0.5525328047238595, c2=0.09184172427704333 ...................
[CV] c1=0.5525328047238595, c2=0.09184172427704333, score=0.900039 - 1.6s
[CV] c1=0.35050990293106027, c2=0.062158504077829205 .................
[CV] c1=0.35050990293106027, c2=0.062158504077829205, score=0.928742 - 1.4s
[CV] c1=0.11098709687950105, c2=0.0012964773754647193 ................
[CV] c1=0.11098709687950105, c2=0.0012964773754647193, score=0.838813 - 1.3s
[CV] c1=0.4089586111008682, c2=0.07211995679529591 ...................
[CV] c1=0.4089586111008682, c2=0.07211995679529591, score=0.885714 - 1.6s
[CV] c1=0.3431081113231949, c2=0.10070913156646599 ...................
[CV] c1=0.3431081113231949, c2=0.10070913156646599, score=0.931991 - 1.3s
[CV] c1=0.5525328047238595, c2=0.09184172427704333 ...................
[CV] c1=0.5525328047238595, c2=0.09184172427704333, score=0.790054 - 1.5s
[CV] c1=0.35050990293106027, c2=0.062158504077829205 .................
[CV] c1=0.35050990293106027, c2=0.062158504077829205, score=0.696344 - 1.5s
[CV] c1=0.11098709687950105, c2=0.0012964773754647193 ................
[CV] c1=0.11098709687950105, c2=0.0012964773754647193, score=0.869958 - 1.4s
[CV] c1=0.9489299883913463, c2=0.08651523595457483 ...................
[CV] c1=0.9489299883913463, c2=0.08651523595457483, score=0.818750 - 1.5s
[CV] c1=0.004944498956920931, c2=0.035071672138884735 ................
[CV] c1=0.004944498956920931, c2=0.035071672138884735, score=0.906003 - 1.4s
[CV] c1=1.064584223532424, c2=0.010140146677527086 ...................
[CV] c1=1.064584223532424, c2=0.010140146677527086, score=0.612088 - 1.5s
[CV] c1=0.004633722592074594, c2=0.10886882710897013 .................
[CV] c1=0.004633722592074594, c2=0.10886882710897013, score=0.830299 - 1.5s
[CV] c1=1.138816237017488, c2=0.03695236961293207 ....................
[CV] c1=1.138816237017488, c2=0.03695236961293207, score=0.848792 - 1.1s
[CV] c1=0.4089586111008682, c2=0.07211995679529591 ...................
[CV] c1=0.4089586111008682, c2=0.07211995679529591, score=0.922396 - 1.4s
[CV] c1=0.3431081113231949, c2=0.10070913156646599 ...................
[CV] c1=0.3431081113231949, c2=0.10070913156646599, score=0.712608 - 1.5s
[CV] c1=0.5525328047238595, c2=0.09184172427704333 ...................
[CV] c1=0.5525328047238595, c2=0.09184172427704333, score=0.827116 - 1.6s
[CV] c1=0.35050990293106027, c2=0.062158504077829205 .................
[CV] c1=0.35050990293106027, c2=0.062158504077829205, score=0.913784 - 1.6s
[CV] c1=1.138816237017488, c2=0.03695236961293207 ....................
[CV] c1=1.138816237017488, c2=0.03695236961293207, score=0.778117 - 1.3s
[CV] c1=0.4089586111008682, c2=0.07211995679529591 ...................
[CV] c1=0.4089586111008682, c2=0.07211995679529591, score=0.827116 - 1.5s
[CV] c1=0.3431081113231949, c2=0.10070913156646599 ...................
[CV] c1=0.3431081113231949, c2=0.10070913156646599, score=0.785941 - 1.5s
[CV] c1=0.5525328047238595, c2=0.09184172427704333 ...................
[CV] c1=0.5525328047238595, c2=0.09184172427704333, score=0.859362 - 1.5s
[CV] c1=0.35050990293106027, c2=0.062158504077829205 .................
[CV] c1=0.35050990293106027, c2=0.062158504077829205, score=0.814418 - 1.6s
[CV] c1=0.11098709687950105, c2=0.0012964773754647193 ................
[CV] c1=0.11098709687950105, c2=0.0012964773754647193, score=0.939803 - 1.4s
[CV] c1=0.9489299883913463, c2=0.08651523595457483 ...................
[CV] c1=0.9489299883913463, c2=0.08651523595457483, score=0.907533 - 1.6s
[CV] c1=0.3531857394293691, c2=0.028403481397008597 ..................
[CV] c1=0.3531857394293691, c2=0.028403481397008597, score=0.839546 - 1.5s
[CV] c1=1.7692696573575095, c2=0.014769125134101722 ..................
[CV] c1=1.7692696573575095, c2=0.014769125134101722, score=0.719375 - 1.3s
[CV] c1=0.004633722592074594, c2=0.10886882710897013 .................
[CV] c1=0.004633722592074594, c2=0.10886882710897013, score=0.849255 - 1.5s
[CV] c1=1.138816237017488, c2=0.03695236961293207 ....................
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[CV] c1=0.9489299883913463, c2=0.08651523595457483 ...................
[CV] c1=0.9489299883913463, c2=0.08651523595457483, score=0.896776 - 1.4s
[CV] c1=0.004944498956920931, c2=0.035071672138884735 ................
[CV] c1=0.004944498956920931, c2=0.035071672138884735, score=0.884219 - 1.4s
[CV] c1=0.5525328047238595, c2=0.09184172427704333 ...................
[CV] c1=0.5525328047238595, c2=0.09184172427704333, score=0.910483 - 1.5s
[CV] c1=0.004633722592074594, c2=0.10886882710897013 .................
[CV] c1=0.004633722592074594, c2=0.10886882710897013, score=0.841204 - 1.5s
[CV] c1=1.138816237017488, c2=0.03695236961293207 ....................
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[CV] c1=0.9489299883913463, c2=0.08651523595457483 ...................
[CV] c1=0.9489299883913463, c2=0.08651523595457483, score=0.806478 - 1.4s
[CV] c1=0.004944498956920931, c2=0.035071672138884735 ................
[CV] c1=0.004944498956920931, c2=0.035071672138884735, score=0.863344 - 1.5s
[CV] c1=1.064584223532424, c2=0.010140146677527086 ...................
[CV] c1=1.064584223532424, c2=0.010140146677527086, score=0.854202 - 1.4s
[CV] c1=0.004633722592074594, c2=0.10886882710897013 .................
[CV] c1=0.004633722592074594, c2=0.10886882710897013, score=0.856387 - 1.3s
[CV] c1=1.138816237017488, c2=0.03695236961293207 ....................
[CV] c1=1.138816237017488, c2=0.03695236961293207, score=0.812996 - 1.3s
[CV] c1=0.9489299883913463, c2=0.08651523595457483 ...................
[CV] c1=0.9489299883913463, c2=0.08651523595457483, score=0.908387 - 1.6s
[CV] c1=0.004944498956920931, c2=0.035071672138884735 ................
[CV] c1=0.004944498956920931, c2=0.035071672138884735, score=0.869996 - 1.5s
[CV] c1=1.064584223532424, c2=0.010140146677527086 ...................
[CV] c1=1.064584223532424, c2=0.010140146677527086, score=0.908387 - 1.5s
[CV] c1=0.004633722592074594, c2=0.10886882710897013 .................
[CV] c1=0.004633722592074594, c2=0.10886882710897013, score=0.854811 - 1.4s
[CV] c1=1.138816237017488, c2=0.03695236961293207 ....................
[CV] c1=1.138816237017488, c2=0.03695236961293207, score=0.902496 - 1.2s
[CV] c1=0.9489299883913463, c2=0.08651523595457483 ...................
[CV] c1=0.9489299883913463, c2=0.08651523595457483, score=0.792413 - 1.5s
[CV] c1=0.004944498956920931, c2=0.035071672138884735 ................
[CV] c1=0.004944498956920931, c2=0.035071672138884735, score=0.859339 - 1.5s
[CV] c1=1.064584223532424, c2=0.010140146677527086 ...................
[CV] c1=1.064584223532424, c2=0.010140146677527086, score=0.818821 - 1.4s
[CV] c1=0.004633722592074594, c2=0.10886882710897013 .................
[CV] c1=0.004633722592074594, c2=0.10886882710897013, score=0.952892 - 1.5s
[CV] c1=1.138816237017488, c2=0.03695236961293207 ....................
[CV] c1=1.138816237017488, c2=0.03695236961293207, score=0.792413 - 1.2s
Training done in: 9.689625s
Saving training model...
Saving training model done in: 0.014153s
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Prediction done in: 0.041572s