Run6_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: 0.003824s
-------------------------------- 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
9 -2:lemma δsoxs
10 -2:postag NN
--------------------------- 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
12 -2:lemma affyexp
13 -2:postag JJ
14 +2:lemma glucose
15 +2:postag NN
Fitting 10 folds for each of 20 candidates, totalling 200 fits
[CV] c1=0.2615074589465166, c2=0.00276705652339924 ...................
[CV] c1=0.2615074589465166, c2=0.00276705652339924, score=0.748989 - 1.5s
[CV] c1=0.5185417642698361, c2=0.053008807244735806 ..................
[CV] c1=0.5185417642698361, c2=0.053008807244735806, score=0.688607 - 1.2s
[CV] c1=0.15577693298267048, c2=0.06637448911598333 ..................
[CV] c1=0.15577693298267048, c2=0.06637448911598333, score=0.705446 - 1.3s
[CV] c1=0.823900513809091, c2=0.0387534873299443 .....................
[CV] c1=0.823900513809091, c2=0.0387534873299443, score=0.844579 - 1.6s
[CV] c1=0.6399264634452653, c2=0.014870218135147216 ..................
[CV] c1=0.6399264634452653, c2=0.014870218135147216, score=0.682226 - 1.5s
[CV] c1=0.12876611002706792, c2=0.005687634151887815 .................
[CV] c1=0.12876611002706792, c2=0.005687634151887815, score=0.701013 - 1.3s
[CV] c1=0.4343684628584727, c2=0.035865115766266005 ..................
[CV] c1=0.4343684628584727, c2=0.035865115766266005, score=0.895566 - 1.8s
[CV] c1=0.823900513809091, c2=0.0387534873299443 .....................
[CV] c1=0.823900513809091, c2=0.0387534873299443, score=0.719074 - 1.7s
[CV] c1=0.6399264634452653, c2=0.014870218135147216 ..................
[CV] c1=0.6399264634452653, c2=0.014870218135147216, score=0.724487 - 1.6s
[CV] c1=0.11430921774270934, c2=0.06174595493921575 ..................
[CV] c1=0.11430921774270934, c2=0.06174595493921575, score=0.868519 - 1.1s
[CV] c1=0.5185417642698361, c2=0.053008807244735806 ..................
[CV] c1=0.5185417642698361, c2=0.053008807244735806, score=0.682226 - 1.4s
[CV] c1=0.15577693298267048, c2=0.06637448911598333 ..................
[CV] c1=0.15577693298267048, c2=0.06637448911598333, score=0.947516 - 1.6s
[CV] c1=0.823900513809091, c2=0.0387534873299443 .....................
[CV] c1=0.823900513809091, c2=0.0387534873299443, score=0.933155 - 1.6s
[CV] c1=0.6399264634452653, c2=0.014870218135147216 ..................
[CV] c1=0.6399264634452653, c2=0.014870218135147216, score=0.727054 - 1.3s
[CV] c1=0.2615074589465166, c2=0.00276705652339924 ...................
[CV] c1=0.2615074589465166, c2=0.00276705652339924, score=0.917847 - 1.3s
[CV] c1=0.4188873236253328, c2=0.0026616054692428534 .................
[CV] c1=0.4188873236253328, c2=0.0026616054692428534, score=0.738970 - 1.3s
[CV] c1=0.15577693298267048, c2=0.06637448911598333 ..................
[CV] c1=0.15577693298267048, c2=0.06637448911598333, score=0.907093 - 1.6s
[CV] c1=0.823900513809091, c2=0.0387534873299443 .....................
[CV] c1=0.823900513809091, c2=0.0387534873299443, score=0.868659 - 1.7s
[CV] c1=0.6399264634452653, c2=0.014870218135147216 ..................
[CV] c1=0.6399264634452653, c2=0.014870218135147216, score=0.780640 - 1.5s
[CV] c1=1.3873487379708354, c2=0.05280678047492682 ...................
[CV] c1=1.3873487379708354, c2=0.05280678047492682, score=0.683958 - 1.4s
[CV] c1=0.4188873236253328, c2=0.0026616054692428534 .................
[CV] c1=0.4188873236253328, c2=0.0026616054692428534, score=0.705265 - 1.4s
[CV] c1=0.15577693298267048, c2=0.06637448911598333 ..................
[CV] c1=0.15577693298267048, c2=0.06637448911598333, score=0.732294 - 1.6s
[CV] c1=0.4187966865740437, c2=0.19166197167501114 ...................
[CV] c1=0.4187966865740437, c2=0.19166197167501114, score=0.931297 - 1.9s
[CV] c1=0.6399264634452653, c2=0.014870218135147216 ..................
[CV] c1=0.6399264634452653, c2=0.014870218135147216, score=0.878329 - 1.6s
[CV] c1=1.3873487379708354, c2=0.05280678047492682 ...................
[CV] c1=1.3873487379708354, c2=0.05280678047492682, score=0.773191 - 1.4s
[CV] c1=0.4188873236253328, c2=0.0026616054692428534 .................
[CV] c1=0.4188873236253328, c2=0.0026616054692428534, score=0.885638 - 1.6s
[CV] c1=0.15577693298267048, c2=0.06637448911598333 ..................
[CV] c1=0.15577693298267048, c2=0.06637448911598333, score=0.891699 - 1.7s
[CV] c1=0.823900513809091, c2=0.0387534873299443 .....................
[CV] c1=0.823900513809091, c2=0.0387534873299443, score=0.673861 - 1.6s
[CV] c1=0.6399264634452653, c2=0.014870218135147216 ..................
[CV] c1=0.6399264634452653, c2=0.014870218135147216, score=0.842875 - 1.7s
[CV] c1=0.2615074589465166, c2=0.00276705652339924 ...................
[CV] c1=0.2615074589465166, c2=0.00276705652339924, score=0.868519 - 1.3s
[CV] c1=0.4188873236253328, c2=0.0026616054692428534 .................
[CV] c1=0.4188873236253328, c2=0.0026616054692428534, score=0.759154 - 1.4s
[CV] c1=0.15577693298267048, c2=0.06637448911598333 ..................
[CV] c1=0.15577693298267048, c2=0.06637448911598333, score=0.796438 - 1.5s
[CV] c1=0.823900513809091, c2=0.0387534873299443 .....................
[CV] c1=0.823900513809091, c2=0.0387534873299443, score=0.880312 - 1.8s
[CV] c1=0.6399264634452653, c2=0.014870218135147216 ..................
[CV] c1=0.6399264634452653, c2=0.014870218135147216, score=0.734892 - 1.6s
[CV] c1=0.11430921774270934, c2=0.06174595493921575 ..................
[CV] c1=0.11430921774270934, c2=0.06174595493921575, score=0.660504 - 1.1s
[CV] c1=0.4188873236253328, c2=0.0026616054692428534 .................
[CV] c1=0.4188873236253328, c2=0.0026616054692428534, score=0.748989 - 1.6s
[CV] c1=0.0027865899296892344, c2=0.0322630560189459 .................
[CV] c1=0.0027865899296892344, c2=0.0322630560189459, score=0.688077 - 1.4s
[CV] c1=0.823900513809091, c2=0.0387534873299443 .....................
[CV] c1=0.823900513809091, c2=0.0387534873299443, score=0.752420 - 1.6s
[CV] c1=0.6399264634452653, c2=0.014870218135147216 ..................
[CV] c1=0.6399264634452653, c2=0.014870218135147216, score=0.754344 - 1.6s
[CV] c1=0.2615074589465166, c2=0.00276705652339924 ...................
[CV] c1=0.2615074589465166, c2=0.00276705652339924, score=0.698897 - 1.1s
[CV] c1=0.4188873236253328, c2=0.0026616054692428534 .................
[CV] c1=0.4188873236253328, c2=0.0026616054692428534, score=0.914825 - 1.6s
[CV] c1=0.15577693298267048, c2=0.06637448911598333 ..................
[CV] c1=0.15577693298267048, c2=0.06637448911598333, score=0.911961 - 1.6s
[CV] c1=0.823900513809091, c2=0.0387534873299443 .....................
[CV] c1=0.823900513809091, c2=0.0387534873299443, score=0.796825 - 1.6s
[CV] c1=0.6399264634452653, c2=0.014870218135147216 ..................
[CV] c1=0.6399264634452653, c2=0.014870218135147216, score=0.885638 - 1.7s
[CV] c1=0.11430921774270934, c2=0.06174595493921575 ..................
[CV] c1=0.11430921774270934, c2=0.06174595493921575, score=0.704835 - 1.3s
[CV] c1=0.25383138714597037, c2=0.04263753154943412 ..................
[CV] c1=0.25383138714597037, c2=0.04263753154943412, score=0.648856 - 1.5s
[CV] c1=0.0027865899296892344, c2=0.0322630560189459 .................
[CV] c1=0.0027865899296892344, c2=0.0322630560189459, score=0.721111 - 1.5s
[CV] c1=0.35338694963813927, c2=0.027153986749367698 .................
[CV] c1=0.35338694963813927, c2=0.027153986749367698, score=0.786586 - 1.5s
[CV] c1=0.07859831333888312, c2=0.07646449848130295 ..................
[CV] c1=0.07859831333888312, c2=0.07646449848130295, score=0.653316 - 1.5s
[CV] c1=1.3873487379708354, c2=0.05280678047492682 ...................
[CV] c1=1.3873487379708354, c2=0.05280678047492682, score=0.673792 - 1.4s
[CV] c1=0.4188873236253328, c2=0.0026616054692428534 .................
[CV] c1=0.4188873236253328, c2=0.0026616054692428534, score=0.784018 - 1.5s
[CV] c1=0.15577693298267048, c2=0.06637448911598333 ..................
[CV] c1=0.15577693298267048, c2=0.06637448911598333, score=0.746614 - 1.7s
[CV] c1=0.823900513809091, c2=0.0387534873299443 .....................
[CV] c1=0.823900513809091, c2=0.0387534873299443, score=0.700287 - 1.5s
[CV] c1=0.6399264634452653, c2=0.014870218135147216 ..................
[CV] c1=0.6399264634452653, c2=0.014870218135147216, score=0.940069 - 1.6s
[CV] c1=0.11430921774270934, c2=0.06174595493921575 ..................
[CV] c1=0.11430921774270934, c2=0.06174595493921575, score=0.891699 - 1.4s
[CV] c1=0.25383138714597037, c2=0.04263753154943412 ..................
[CV] c1=0.25383138714597037, c2=0.04263753154943412, score=0.730917 - 1.6s
[CV] c1=0.5229213398180802, c2=0.05988470409107292 ...................
[CV] c1=0.5229213398180802, c2=0.05988470409107292, score=0.682226 - 1.4s
[CV] c1=0.35338694963813927, c2=0.027153986749367698 .................
[CV] c1=0.35338694963813927, c2=0.027153986749367698, score=0.759154 - 1.8s
[CV] c1=0.07859831333888312, c2=0.07646449848130295 ..................
[CV] c1=0.07859831333888312, c2=0.07646449848130295, score=0.713594 - 1.2s
[CV] c1=1.3873487379708354, c2=0.05280678047492682 ...................
[CV] c1=1.3873487379708354, c2=0.05280678047492682, score=0.893607 - 1.6s
[CV] c1=0.5185417642698361, c2=0.053008807244735806 ..................
[CV] c1=0.5185417642698361, c2=0.053008807244735806, score=0.923873 - 1.6s
[CV] c1=0.0027865899296892344, c2=0.0322630560189459 .................
[CV] c1=0.0027865899296892344, c2=0.0322630560189459, score=0.631616 - 1.4s
[CV] c1=0.35338694963813927, c2=0.027153986749367698 .................
[CV] c1=0.35338694963813927, c2=0.027153986749367698, score=0.907061 - 1.8s
[CV] c1=0.07859831333888312, c2=0.07646449848130295 ..................
[CV] c1=0.07859831333888312, c2=0.07646449848130295, score=0.859105 - 1.4s
[CV] c1=0.2615074589465166, c2=0.00276705652339924 ...................
[CV] c1=0.2615074589465166, c2=0.00276705652339924, score=0.706154 - 1.5s
[CV] c1=0.5185417642698361, c2=0.053008807244735806 ..................
[CV] c1=0.5185417642698361, c2=0.053008807244735806, score=0.885638 - 1.6s
[CV] c1=0.0027865899296892344, c2=0.0322630560189459 .................
[CV] c1=0.0027865899296892344, c2=0.0322630560189459, score=0.928523 - 1.6s
[CV] c1=0.35338694963813927, c2=0.027153986749367698 .................
[CV] c1=0.35338694963813927, c2=0.027153986749367698, score=0.891699 - 1.7s
[CV] c1=0.07859831333888312, c2=0.07646449848130295 ..................
[CV] c1=0.07859831333888312, c2=0.07646449848130295, score=0.891699 - 1.6s
[CV] c1=0.2615074589465166, c2=0.00276705652339924 ...................
[CV] c1=0.2615074589465166, c2=0.00276705652339924, score=0.786586 - 1.3s
[CV] c1=0.5185417642698361, c2=0.053008807244735806 ..................
[CV] c1=0.5185417642698361, c2=0.053008807244735806, score=0.724487 - 1.5s
[CV] c1=0.0027865899296892344, c2=0.0322630560189459 .................
[CV] c1=0.0027865899296892344, c2=0.0322630560189459, score=0.745942 - 1.7s
[CV] c1=0.35338694963813927, c2=0.027153986749367698 .................
[CV] c1=0.35338694963813927, c2=0.027153986749367698, score=0.891015 - 1.6s
[CV] c1=0.07859831333888312, c2=0.07646449848130295 ..................
[CV] c1=0.07859831333888312, c2=0.07646449848130295, score=0.889925 - 1.6s
[CV] c1=1.3873487379708354, c2=0.05280678047492682 ...................
[CV] c1=1.3873487379708354, c2=0.05280678047492682, score=0.729157 - 1.6s
[CV] c1=0.5185417642698361, c2=0.053008807244735806 ..................
[CV] c1=0.5185417642698361, c2=0.053008807244735806, score=0.779671 - 1.6s
[CV] c1=0.0027865899296892344, c2=0.0322630560189459 .................
[CV] c1=0.0027865899296892344, c2=0.0322630560189459, score=0.715316 - 1.6s
[CV] c1=0.35338694963813927, c2=0.027153986749367698 .................
[CV] c1=0.35338694963813927, c2=0.027153986749367698, score=0.916959 - 1.6s
[CV] c1=0.07859831333888312, c2=0.07646449848130295 ..................
[CV] c1=0.07859831333888312, c2=0.07646449848130295, score=0.774444 - 1.5s
[CV] c1=1.3873487379708354, c2=0.05280678047492682 ...................
[CV] c1=1.3873487379708354, c2=0.05280678047492682, score=0.766425 - 1.5s
[CV] c1=0.4188873236253328, c2=0.0026616054692428534 .................
[CV] c1=0.4188873236253328, c2=0.0026616054692428534, score=0.923873 - 1.6s
[CV] c1=0.0027865899296892344, c2=0.0322630560189459 .................
[CV] c1=0.0027865899296892344, c2=0.0322630560189459, score=0.889925 - 1.5s
[CV] c1=0.35338694963813927, c2=0.027153986749367698 .................
[CV] c1=0.35338694963813927, c2=0.027153986749367698, score=0.727640 - 1.9s
[CV] c1=0.07859831333888312, c2=0.07646449848130295 ..................
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[CV] c1=0.11430921774270934, c2=0.06174595493921575 ..................
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[CV] c1=0.25383138714597037, c2=0.04263753154943412 ..................
[CV] c1=0.25383138714597037, c2=0.04263753154943412, score=0.881840 - 1.8s
[CV] c1=0.5229213398180802, c2=0.05988470409107292 ...................
[CV] c1=0.5229213398180802, c2=0.05988470409107292, score=0.732929 - 1.5s
[CV] c1=1.0068963881008774, c2=0.0209795411094058 ....................
[CV] c1=1.0068963881008774, c2=0.0209795411094058, score=0.880312 - 1.8s
[CV] c1=0.031180803180743573, c2=0.07896645089543503 .................
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[CV] c1=0.11430921774270934, c2=0.06174595493921575 ..................
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[CV] c1=0.5185417642698361, c2=0.053008807244735806 ..................
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[CV] c1=0.0027865899296892344, c2=0.0322630560189459 .................
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[CV] c1=0.35338694963813927, c2=0.027153986749367698 .................
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[CV] c1=0.07859831333888312, c2=0.07646449848130295 ..................
[CV] c1=0.07859831333888312, c2=0.07646449848130295, score=0.735598 - 1.6s
[CV] c1=1.3873487379708354, c2=0.05280678047492682 ...................
[CV] c1=1.3873487379708354, c2=0.05280678047492682, score=0.752420 - 1.5s
[CV] c1=0.5185417642698361, c2=0.053008807244735806 ..................
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[CV] c1=0.0027865899296892344, c2=0.0322630560189459 .................
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[CV] c1=1.0068963881008774, c2=0.0209795411094058 ....................
[CV] c1=1.0068963881008774, c2=0.0209795411094058, score=0.706813 - 1.7s
[CV] c1=0.031180803180743573, c2=0.07896645089543503 .................
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[CV] c1=0.11430921774270934, c2=0.06174595493921575 ..................
[CV] c1=0.11430921774270934, c2=0.06174595493921575, score=0.705446 - 1.2s
[CV] c1=0.5185417642698361, c2=0.053008807244735806 ..................
[CV] c1=0.5185417642698361, c2=0.053008807244735806, score=0.868659 - 1.7s
[CV] c1=0.5229213398180802, c2=0.05988470409107292 ...................
[CV] c1=0.5229213398180802, c2=0.05988470409107292, score=0.724487 - 1.7s
[CV] c1=1.0068963881008774, c2=0.0209795411094058 ....................
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[CV] c1=0.07859831333888312, c2=0.07646449848130295 ..................
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[CV] c1=0.2615074589465166, c2=0.00276705652339924 ...................
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[CV] c1=0.25383138714597037, c2=0.04263753154943412 ..................
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[CV] c1=0.5229213398180802, c2=0.05988470409107292 ...................
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[CV] c1=1.0068963881008774, c2=0.0209795411094058 ....................
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[CV] c1=0.031180803180743573, c2=0.07896645089543503 .................
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[CV] c1=0.11430921774270934, c2=0.06174595493921575 ..................
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[CV] c1=0.25383138714597037, c2=0.04263753154943412 ..................
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[CV] c1=0.5229213398180802, c2=0.05988470409107292 ...................
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[CV] c1=1.0068963881008774, c2=0.0209795411094058 ....................
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[CV] c1=0.031180803180743573, c2=0.07896645089543503 .................
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[CV] c1=1.3873487379708354, c2=0.05280678047492682 ...................
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[CV] c1=0.5185417642698361, c2=0.053008807244735806 ..................
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[CV] c1=0.0027865899296892344, c2=0.0322630560189459 .................
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[CV] c1=0.35338694963813927, c2=0.027153986749367698 .................
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[CV] c1=0.07859831333888312, c2=0.07646449848130295 ..................
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[CV] c1=0.2615074589465166, c2=0.00276705652339924 ...................
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[CV] c1=0.4343684628584727, c2=0.035865115766266005 ..................
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[CV] c1=0.5229213398180802, c2=0.05988470409107292 ...................
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[CV] c1=1.0068963881008774, c2=0.0209795411094058 ....................
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[CV] c1=0.031180803180743573, c2=0.07896645089543503 .................
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[CV] c1=0.2615074589465166, c2=0.00276705652339924 ...................
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[CV] c1=0.25383138714597037, c2=0.04263753154943412 ..................
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[CV] c1=0.5229213398180802, c2=0.05988470409107292 ...................
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[CV] c1=1.0068963881008774, c2=0.0209795411094058 ....................
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[CV] c1=0.031180803180743573, c2=0.07896645089543503 .................
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[CV] c1=0.12876611002706792, c2=0.005687634151887815 .................
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[CV] c1=0.4343684628584727, c2=0.035865115766266005 ..................
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[CV] c1=0.4187966865740437, c2=0.19166197167501114 ...................
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[CV] c1=0.010635150805068118, c2=0.013559125772358571 ................
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[CV] c1=0.5348883068759939, c2=0.00832448452340161 ...................
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[CV] c1=0.12876611002706792, c2=0.005687634151887815 .................
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[CV] c1=0.25383138714597037, c2=0.04263753154943412 ..................
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[CV] c1=0.5229213398180802, c2=0.05988470409107292 ...................
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[CV] c1=0.010635150805068118, c2=0.013559125772358571 ................
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[CV] c1=0.5348883068759939, c2=0.00832448452340161 ...................
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[CV] c1=0.12876611002706792, c2=0.005687634151887815 .................
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[CV] c1=0.4343684628584727, c2=0.035865115766266005 ..................
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[CV] c1=0.4187966865740437, c2=0.19166197167501114 ...................
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[CV] c1=1.0068963881008774, c2=0.0209795411094058 ....................
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[CV] c1=0.031180803180743573, c2=0.07896645089543503 .................
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[CV] c1=0.12876611002706792, c2=0.005687634151887815 .................
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[CV] c1=0.4343684628584727, c2=0.035865115766266005 ..................
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[CV] c1=0.4187966865740437, c2=0.19166197167501114 ...................
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[CV] c1=0.010635150805068118, c2=0.013559125772358571 ................
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[CV] c1=0.5348883068759939, c2=0.00832448452340161 ...................
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[CV] c1=0.11430921774270934, c2=0.06174595493921575 ..................
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[CV] c1=0.25383138714597037, c2=0.04263753154943412 ..................
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[CV] c1=0.5229213398180802, c2=0.05988470409107292 ...................
[CV] c1=0.5229213398180802, c2=0.05988470409107292, score=0.870490 - 1.7s
[CV] c1=1.0068963881008774, c2=0.0209795411094058 ....................
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[CV] c1=0.031180803180743573, c2=0.07896645089543503 .................
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[CV] c1=0.11430921774270934, c2=0.06174595493921575 ..................
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[CV] c1=0.25383138714597037, c2=0.04263753154943412 ..................
[CV] c1=0.25383138714597037, c2=0.04263753154943412, score=0.933576 - 1.6s
[CV] c1=0.5229213398180802, c2=0.05988470409107292 ...................
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[CV] c1=1.0068963881008774, c2=0.0209795411094058 ....................
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[CV] c1=0.031180803180743573, c2=0.07896645089543503 .................
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[CV] c1=0.12876611002706792, c2=0.005687634151887815 .................
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[CV] c1=0.25383138714597037, c2=0.04263753154943412 ..................
[CV] c1=0.25383138714597037, c2=0.04263753154943412, score=0.790731 - 1.7s
[CV] c1=0.4187966865740437, c2=0.19166197167501114 ...................
[CV] c1=0.4187966865740437, c2=0.19166197167501114, score=0.724487 - 1.8s
[CV] c1=0.010635150805068118, c2=0.013559125772358571 ................
[CV] c1=0.010635150805068118, c2=0.013559125772358571, score=0.772487 - 1.5s
[CV] c1=0.5348883068759939, c2=0.00832448452340161 ...................
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[CV] c1=1.3873487379708354, c2=0.05280678047492682 ...................
[CV] c1=1.3873487379708354, c2=0.05280678047492682, score=0.796445 - 1.5s
[CV] c1=0.4188873236253328, c2=0.0026616054692428534 .................
[CV] c1=0.4188873236253328, c2=0.0026616054692428534, score=0.856715 - 1.6s
[CV] c1=0.15577693298267048, c2=0.06637448911598333 ..................
[CV] c1=0.15577693298267048, c2=0.06637448911598333, score=0.759154 - 1.8s
[CV] c1=0.35338694963813927, c2=0.027153986749367698 .................
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[CV] c1=0.031180803180743573, c2=0.07896645089543503 .................
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[CV] c1=1.3873487379708354, c2=0.05280678047492682 ...................
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[CV] c1=0.4188873236253328, c2=0.0026616054692428534 .................
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[CV] c1=0.15577693298267048, c2=0.06637448911598333 ..................
[CV] c1=0.15577693298267048, c2=0.06637448911598333, score=0.688919 - 1.6s
[CV] c1=0.823900513809091, c2=0.0387534873299443 .....................
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[CV] c1=0.010635150805068118, c2=0.013559125772358571 ................
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[CV] c1=0.5348883068759939, c2=0.00832448452340161 ...................
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[CV] c1=0.12876611002706792, c2=0.005687634151887815 .................
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[CV] c1=0.4343684628584727, c2=0.035865115766266005 ..................
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[CV] c1=0.4187966865740437, c2=0.19166197167501114 ...................
[CV] c1=0.4187966865740437, c2=0.19166197167501114, score=0.725229 - 1.8s
[CV] c1=0.010635150805068118, c2=0.013559125772358571 ................
[CV] c1=0.010635150805068118, c2=0.013559125772358571, score=0.914459 - 1.5s
[CV] c1=0.5348883068759939, c2=0.00832448452340161 ...................
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[CV] c1=0.12876611002706792, c2=0.005687634151887815 .................
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[CV] c1=0.4343684628584727, c2=0.035865115766266005 ..................
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[CV] c1=0.4187966865740437, c2=0.19166197167501114 ...................
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[CV] c1=0.010635150805068118, c2=0.013559125772358571 ................
[CV] c1=0.010635150805068118, c2=0.013559125772358571, score=0.891699 - 1.6s
[CV] c1=0.5348883068759939, c2=0.00832448452340161 ...................
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[CV] c1=0.2615074589465166, c2=0.00276705652339924 ...................
[CV] c1=0.2615074589465166, c2=0.00276705652339924, score=0.933576 - 1.9s
[CV] c1=0.4343684628584727, c2=0.035865115766266005 ..................
[CV] c1=0.4343684628584727, c2=0.035865115766266005, score=0.727640 - 1.7s
[CV] c1=0.4187966865740437, c2=0.19166197167501114 ...................
[CV] c1=0.4187966865740437, c2=0.19166197167501114, score=0.894300 - 1.7s
[CV] c1=0.010635150805068118, c2=0.013559125772358571 ................
[CV] c1=0.010635150805068118, c2=0.013559125772358571, score=0.903099 - 1.7s
[CV] c1=0.5348883068759939, c2=0.00832448452340161 ...................
[CV] c1=0.5348883068759939, c2=0.00832448452340161, score=0.759154 - 1.2s
[CV] c1=0.12876611002706792, c2=0.005687634151887815 .................
[CV] c1=0.12876611002706792, c2=0.005687634151887815, score=0.914459 - 1.6s
[CV] c1=0.4343684628584727, c2=0.035865115766266005 ..................
[CV] c1=0.4343684628584727, c2=0.035865115766266005, score=0.926812 - 1.5s
[CV] c1=0.4187966865740437, c2=0.19166197167501114 ...................
[CV] c1=0.4187966865740437, c2=0.19166197167501114, score=0.855051 - 1.6s
[CV] c1=0.010635150805068118, c2=0.013559125772358571 ................
[CV] c1=0.010635150805068118, c2=0.013559125772358571, score=0.886041 - 1.6s
[CV] c1=0.5348883068759939, c2=0.00832448452340161 ...................
[CV] c1=0.5348883068759939, c2=0.00832448452340161, score=0.933155 - 1.2s
Training done in: 10.407644s
Saving training model...
Saving training model done in: 0.013260s
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Prediction done in: 0.035441s