Run5_v10.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 False
Report file: _v10
Exclude symbols: False
-------------------------------- PROCESSING --------------------------------
Reading corpus...
Sentences training data: 286
Sentences test data: 123
Reading corpus done in: 0.003733s
-------------------------------- FEATURES --------------------------------
--------------------------Features Training ---------------------------
0 1
0 lemma 2
1 postag CD
2 -1:lemma fructose
3 -1:postag NN
4 -2:lemma Cra
5 -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 -2:lemma affyexp
7 -2:postag JJ
8 +2:lemma glucose
9 +2:postag NN
Fitting 10 folds for each of 20 candidates, totalling 200 fits
[CV] c1=1.4038809296134227, c2=0.0037087674059544267 .................
[CV] c1=1.4038809296134227, c2=0.0037087674059544267, score=0.612120 - 0.9s
[CV] c1=0.06239897390692768, c2=0.02465699508168911 ..................
[CV] c1=0.06239897390692768, c2=0.02465699508168911, score=0.884047 - 1.2s
[CV] c1=0.10610949495896399, c2=0.11844615478204674 ..................
[CV] c1=0.10610949495896399, c2=0.11844615478204674, score=0.835967 - 1.3s
[CV] c1=0.11742461718830033, c2=0.02662617554316118 ..................
[CV] c1=0.11742461718830033, c2=0.02662617554316118, score=0.892074 - 1.2s
[CV] c1=0.980295981763049, c2=0.05443704694924441 ....................
[CV] c1=0.980295981763049, c2=0.05443704694924441, score=0.782679 - 1.2s
[CV] c1=0.509570987234981, c2=0.08375458922951341 ....................
[CV] c1=0.509570987234981, c2=0.08375458922951341, score=0.941312 - 1.3s
[CV] c1=0.35460125079999844, c2=0.0008836952433573171 ................
[CV] c1=0.35460125079999844, c2=0.0008836952433573171, score=0.942944 - 1.3s
[CV] c1=0.07408630575173106, c2=0.04892357851637686 ..................
[CV] c1=0.07408630575173106, c2=0.04892357851637686, score=0.836305 - 1.4s
[CV] c1=0.980295981763049, c2=0.05443704694924441 ....................
[CV] c1=0.980295981763049, c2=0.05443704694924441, score=0.891300 - 1.2s
[CV] c1=1.4038809296134227, c2=0.0037087674059544267 .................
[CV] c1=1.4038809296134227, c2=0.0037087674059544267, score=0.866806 - 0.9s
[CV] c1=0.06239897390692768, c2=0.02465699508168911 ..................
[CV] c1=0.06239897390692768, c2=0.02465699508168911, score=0.722395 - 1.3s
[CV] c1=0.10610949495896399, c2=0.11844615478204674 ..................
[CV] c1=0.10610949495896399, c2=0.11844615478204674, score=0.924842 - 1.3s
[CV] c1=0.11742461718830033, c2=0.02662617554316118 ..................
[CV] c1=0.11742461718830033, c2=0.02662617554316118, score=0.722395 - 1.2s
[CV] c1=0.980295981763049, c2=0.05443704694924441 ....................
[CV] c1=0.980295981763049, c2=0.05443704694924441, score=0.697995 - 1.3s
[CV] c1=1.4038809296134227, c2=0.0037087674059544267 .................
[CV] c1=1.4038809296134227, c2=0.0037087674059544267, score=0.773327 - 0.7s
[CV] c1=0.06239897390692768, c2=0.02465699508168911 ..................
[CV] c1=0.06239897390692768, c2=0.02465699508168911, score=0.850992 - 1.4s
[CV] c1=0.10610949495896399, c2=0.11844615478204674 ..................
[CV] c1=0.10610949495896399, c2=0.11844615478204674, score=0.722395 - 1.3s
[CV] c1=0.11742461718830033, c2=0.02662617554316118 ..................
[CV] c1=0.11742461718830033, c2=0.02662617554316118, score=0.796785 - 1.3s
[CV] c1=0.980295981763049, c2=0.05443704694924441 ....................
[CV] c1=0.980295981763049, c2=0.05443704694924441, score=0.620509 - 1.3s
[CV] c1=0.18322334926653372, c2=0.09644068384338038 ..................
[CV] c1=0.18322334926653372, c2=0.09644068384338038, score=0.880963 - 1.2s
[CV] c1=0.681921483787212, c2=0.014793326214282879 ...................
[CV] c1=0.681921483787212, c2=0.014793326214282879, score=0.806609 - 1.1s
[CV] c1=0.05869898623722187, c2=0.014018897903934567 .................
[CV] c1=0.05869898623722187, c2=0.014018897903934567, score=0.830824 - 1.3s
[CV] c1=1.6913979667275219, c2=0.007687802304325694 ..................
[CV] c1=1.6913979667275219, c2=0.007687802304325694, score=0.672936 - 1.1s
[CV] c1=0.980295981763049, c2=0.05443704694924441 ....................
[CV] c1=0.980295981763049, c2=0.05443704694924441, score=0.806478 - 1.2s
[CV] c1=1.4038809296134227, c2=0.0037087674059544267 .................
[CV] c1=1.4038809296134227, c2=0.0037087674059544267, score=0.855013 - 1.0s
[CV] c1=0.06239897390692768, c2=0.02465699508168911 ..................
[CV] c1=0.06239897390692768, c2=0.02465699508168911, score=0.842052 - 1.2s
[CV] c1=0.10610949495896399, c2=0.11844615478204674 ..................
[CV] c1=0.10610949495896399, c2=0.11844615478204674, score=0.850677 - 1.4s
[CV] c1=1.6913979667275219, c2=0.007687802304325694 ..................
[CV] c1=1.6913979667275219, c2=0.007687802304325694, score=0.694375 - 1.3s
[CV] c1=0.04334001561729175, c2=0.01544094918082214 ..................
[CV] c1=0.04334001561729175, c2=0.01544094918082214, score=0.884047 - 1.2s
[CV] c1=1.4038809296134227, c2=0.0037087674059544267 .................
[CV] c1=1.4038809296134227, c2=0.0037087674059544267, score=0.694375 - 1.0s
[CV] c1=0.06239897390692768, c2=0.02465699508168911 ..................
[CV] c1=0.06239897390692768, c2=0.02465699508168911, score=0.864680 - 1.2s
[CV] c1=0.10610949495896399, c2=0.11844615478204674 ..................
[CV] c1=0.10610949495896399, c2=0.11844615478204674, score=0.850314 - 1.3s
[CV] c1=0.11742461718830033, c2=0.02662617554316118 ..................
[CV] c1=0.11742461718830033, c2=0.02662617554316118, score=0.954937 - 1.2s
[CV] c1=0.980295981763049, c2=0.05443704694924441 ....................
[CV] c1=0.980295981763049, c2=0.05443704694924441, score=0.783151 - 1.4s
[CV] c1=0.2580524477536395, c2=0.02506159942597911 ...................
[CV] c1=0.2580524477536395, c2=0.02506159942597911, score=0.888803 - 1.2s
[CV] c1=0.681921483787212, c2=0.014793326214282879 ...................
[CV] c1=0.681921483787212, c2=0.014793326214282879, score=0.911799 - 1.1s
[CV] c1=0.05869898623722187, c2=0.014018897903934567 .................
[CV] c1=0.05869898623722187, c2=0.014018897903934567, score=0.722395 - 1.3s
[CV] c1=1.6913979667275219, c2=0.007687802304325694 ..................
[CV] c1=1.6913979667275219, c2=0.007687802304325694, score=0.731953 - 1.3s
[CV] c1=0.04334001561729175, c2=0.01544094918082214 ..................
[CV] c1=0.04334001561729175, c2=0.01544094918082214, score=0.864680 - 1.1s
[CV] c1=1.4038809296134227, c2=0.0037087674059544267 .................
[CV] c1=1.4038809296134227, c2=0.0037087674059544267, score=0.813162 - 0.8s
[CV] c1=0.06239897390692768, c2=0.02465699508168911 ..................
[CV] c1=0.06239897390692768, c2=0.02465699508168911, score=0.796785 - 1.3s
[CV] c1=0.10610949495896399, c2=0.11844615478204674 ..................
[CV] c1=0.10610949495896399, c2=0.11844615478204674, score=0.903868 - 1.3s
[CV] c1=0.11742461718830033, c2=0.02662617554316118 ..................
[CV] c1=0.11742461718830033, c2=0.02662617554316118, score=0.913784 - 1.3s
[CV] c1=0.980295981763049, c2=0.05443704694924441 ....................
[CV] c1=0.980295981763049, c2=0.05443704694924441, score=0.925944 - 1.3s
[CV] c1=1.4038809296134227, c2=0.0037087674059544267 .................
[CV] c1=1.4038809296134227, c2=0.0037087674059544267, score=0.799307 - 0.9s
[CV] c1=0.06239897390692768, c2=0.02465699508168911 ..................
[CV] c1=0.06239897390692768, c2=0.02465699508168911, score=0.925790 - 1.4s
[CV] c1=0.10610949495896399, c2=0.11844615478204674 ..................
[CV] c1=0.10610949495896399, c2=0.11844615478204674, score=0.843508 - 1.2s
[CV] c1=0.11742461718830033, c2=0.02662617554316118 ..................
[CV] c1=0.11742461718830033, c2=0.02662617554316118, score=0.889632 - 1.2s
[CV] c1=0.980295981763049, c2=0.05443704694924441 ....................
[CV] c1=0.980295981763049, c2=0.05443704694924441, score=0.806520 - 1.3s
[CV] c1=1.4038809296134227, c2=0.0037087674059544267 .................
[CV] c1=1.4038809296134227, c2=0.0037087674059544267, score=0.906118 - 1.2s
[CV] c1=0.681921483787212, c2=0.014793326214282879 ...................
[CV] c1=0.681921483787212, c2=0.014793326214282879, score=0.720990 - 1.4s
[CV] c1=0.05869898623722187, c2=0.014018897903934567 .................
[CV] c1=0.05869898623722187, c2=0.014018897903934567, score=0.894372 - 1.2s
[CV] c1=1.6913979667275219, c2=0.007687802304325694 ..................
[CV] c1=1.6913979667275219, c2=0.007687802304325694, score=0.870921 - 1.2s
[CV] c1=0.04334001561729175, c2=0.01544094918082214 ..................
[CV] c1=0.04334001561729175, c2=0.01544094918082214, score=0.796785 - 1.3s
[CV] c1=0.18322334926653372, c2=0.09644068384338038 ..................
[CV] c1=0.18322334926653372, c2=0.09644068384338038, score=0.924842 - 1.0s
[CV] c1=0.06239897390692768, c2=0.02465699508168911 ..................
[CV] c1=0.06239897390692768, c2=0.02465699508168911, score=0.935724 - 1.2s
[CV] c1=0.10610949495896399, c2=0.11844615478204674 ..................
[CV] c1=0.10610949495896399, c2=0.11844615478204674, score=0.942868 - 1.2s
[CV] c1=0.11742461718830033, c2=0.02662617554316118 ..................
[CV] c1=0.11742461718830033, c2=0.02662617554316118, score=0.842052 - 1.2s
[CV] c1=0.980295981763049, c2=0.05443704694924441 ....................
[CV] c1=0.980295981763049, c2=0.05443704694924441, score=0.801130 - 1.3s
[CV] c1=0.18322334926653372, c2=0.09644068384338038 ..................
[CV] c1=0.18322334926653372, c2=0.09644068384338038, score=0.796785 - 1.2s
[CV] c1=0.681921483787212, c2=0.014793326214282879 ...................
[CV] c1=0.681921483787212, c2=0.014793326214282879, score=0.647266 - 1.2s
[CV] c1=0.05869898623722187, c2=0.014018897903934567 .................
[CV] c1=0.05869898623722187, c2=0.014018897903934567, score=0.889602 - 1.1s
[CV] c1=0.11742461718830033, c2=0.02662617554316118 ..................
[CV] c1=0.11742461718830033, c2=0.02662617554316118, score=0.942868 - 1.3s
[CV] c1=0.04334001561729175, c2=0.01544094918082214 ..................
[CV] c1=0.04334001561729175, c2=0.01544094918082214, score=0.850992 - 1.4s
[CV] c1=0.18322334926653372, c2=0.09644068384338038 ..................
[CV] c1=0.18322334926653372, c2=0.09644068384338038, score=0.717373 - 1.3s
[CV] c1=0.681921483787212, c2=0.014793326214282879 ...................
[CV] c1=0.681921483787212, c2=0.014793326214282879, score=0.858590 - 1.2s
[CV] c1=0.05869898623722187, c2=0.014018897903934567 .................
[CV] c1=0.05869898623722187, c2=0.014018897903934567, score=0.925790 - 1.3s
[CV] c1=1.6913979667275219, c2=0.007687802304325694 ..................
[CV] c1=1.6913979667275219, c2=0.007687802304325694, score=0.795650 - 1.1s
[CV] c1=0.04334001561729175, c2=0.01544094918082214 ..................
[CV] c1=0.04334001561729175, c2=0.01544094918082214, score=0.927267 - 1.3s
[CV] c1=0.18322334926653372, c2=0.09644068384338038 ..................
[CV] c1=0.18322334926653372, c2=0.09644068384338038, score=0.835695 - 1.5s
[CV] c1=0.07920069893418874, c2=0.005807967291107957 .................
[CV] c1=0.07920069893418874, c2=0.005807967291107957, score=0.747086 - 1.2s
[CV] c1=0.26371633815592305, c2=0.12274372539673989 ..................
[CV] c1=0.26371633815592305, c2=0.12274372539673989, score=0.815595 - 1.2s
[CV] c1=0.13615813382618788, c2=0.03017671352232767 ..................
[CV] c1=0.13615813382618788, c2=0.03017671352232767, score=0.907978 - 1.3s
[CV] c1=0.5377631801313764, c2=0.022195953517007455 ..................
[CV] c1=0.5377631801313764, c2=0.022195953517007455, score=0.840062 - 1.0s
[CV] c1=0.2580524477536395, c2=0.02506159942597911 ...................
[CV] c1=0.2580524477536395, c2=0.02506159942597911, score=0.850314 - 1.2s
[CV] c1=0.07920069893418874, c2=0.005807967291107957 .................
[CV] c1=0.07920069893418874, c2=0.005807967291107957, score=0.886106 - 1.1s
[CV] c1=0.05869898623722187, c2=0.014018897903934567 .................
[CV] c1=0.05869898623722187, c2=0.014018897903934567, score=0.935724 - 1.2s
[CV] c1=1.6913979667275219, c2=0.007687802304325694 ..................
[CV] c1=1.6913979667275219, c2=0.007687802304325694, score=0.710551 - 1.2s
[CV] c1=0.04334001561729175, c2=0.01544094918082214 ..................
[CV] c1=0.04334001561729175, c2=0.01544094918082214, score=0.849255 - 1.2s
[CV] c1=0.18322334926653372, c2=0.09644068384338038 ..................
[CV] c1=0.18322334926653372, c2=0.09644068384338038, score=0.942868 - 1.2s
[CV] c1=0.681921483787212, c2=0.014793326214282879 ...................
[CV] c1=0.681921483787212, c2=0.014793326214282879, score=0.824789 - 1.1s
[CV] c1=0.05869898623722187, c2=0.014018897903934567 .................
[CV] c1=0.05869898623722187, c2=0.014018897903934567, score=0.871637 - 1.3s
[CV] c1=1.6913979667275219, c2=0.007687802304325694 ..................
[CV] c1=1.6913979667275219, c2=0.007687802304325694, score=0.759434 - 1.3s
[CV] c1=0.04334001561729175, c2=0.01544094918082214 ..................
[CV] c1=0.04334001561729175, c2=0.01544094918082214, score=0.925790 - 1.3s
[CV] c1=1.4038809296134227, c2=0.0037087674059544267 .................
[CV] c1=1.4038809296134227, c2=0.0037087674059544267, score=0.788040 - 0.9s
[CV] c1=0.06239897390692768, c2=0.02465699508168911 ..................
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[CV] c1=0.10610949495896399, c2=0.11844615478204674 ..................
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[CV] c1=0.11742461718830033, c2=0.02662617554316118 ..................
[CV] c1=0.11742461718830033, c2=0.02662617554316118, score=0.859890 - 1.2s
[CV] c1=0.980295981763049, c2=0.05443704694924441 ....................
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[CV] c1=0.2580524477536395, c2=0.02506159942597911 ...................
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[CV] c1=0.07920069893418874, c2=0.005807967291107957 .................
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[CV] c1=0.26371633815592305, c2=0.12274372539673989 ..................
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[CV] c1=0.13615813382618788, c2=0.03017671352232767 ..................
[CV] c1=0.13615813382618788, c2=0.03017671352232767, score=0.883247 - 1.2s
[CV] c1=0.04334001561729175, c2=0.01544094918082214 ..................
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[CV] c1=0.2580524477536395, c2=0.02506159942597911 ...................
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[CV] c1=0.07920069893418874, c2=0.005807967291107957 .................
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[CV] c1=0.05869898623722187, c2=0.014018897903934567 .................
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[CV] c1=1.6913979667275219, c2=0.007687802304325694 ..................
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[CV] c1=0.04334001561729175, c2=0.01544094918082214 ..................
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[CV] c1=0.18322334926653372, c2=0.09644068384338038 ..................
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[CV] c1=0.681921483787212, c2=0.014793326214282879 ...................
[CV] c1=0.681921483787212, c2=0.014793326214282879, score=0.787478 - 1.2s
[CV] c1=0.05869898623722187, c2=0.014018897903934567 .................
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[CV] c1=1.6913979667275219, c2=0.007687802304325694 ..................
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[CV] c1=0.04334001561729175, c2=0.01544094918082214 ..................
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[CV] c1=0.509570987234981, c2=0.08375458922951341 ....................
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[CV] c1=0.35460125079999844, c2=0.0008836952433573171 ................
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[CV] c1=0.07408630575173106, c2=0.04892357851637686 ..................
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[CV] c1=0.13615813382618788, c2=0.03017671352232767 ..................
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[CV] c1=0.3352785320030445, c2=0.17996994960024804 ...................
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[CV] c1=0.2580524477536395, c2=0.02506159942597911 ...................
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[CV] c1=0.07920069893418874, c2=0.005807967291107957 .................
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[CV] c1=0.26371633815592305, c2=0.12274372539673989 ..................
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[CV] c1=0.13615813382618788, c2=0.03017671352232767 ..................
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[CV] c1=0.5377631801313764, c2=0.022195953517007455 ..................
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[CV] c1=0.2580524477536395, c2=0.02506159942597911 ...................
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[CV] c1=0.681921483787212, c2=0.014793326214282879 ...................
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[CV] c1=0.26371633815592305, c2=0.12274372539673989 ..................
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[CV] c1=1.6913979667275219, c2=0.007687802304325694 ..................
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[CV] c1=0.5377631801313764, c2=0.022195953517007455 ..................
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[CV] c1=0.18322334926653372, c2=0.09644068384338038 ..................
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[CV] c1=0.07920069893418874, c2=0.005807967291107957 .................
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[CV] c1=0.26371633815592305, c2=0.12274372539673989 ..................
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[CV] c1=0.5281367792880114, c2=0.026544925748377076 ..................
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[CV] c1=0.5377631801313764, c2=0.022195953517007455 ..................
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[CV] c1=0.2580524477536395, c2=0.02506159942597911 ...................
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[CV] c1=0.07920069893418874, c2=0.005807967291107957 .................
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[CV] c1=0.26371633815592305, c2=0.12274372539673989 ..................
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[CV] c1=0.13615813382618788, c2=0.03017671352232767 ..................
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[CV] c1=0.5377631801313764, c2=0.022195953517007455 ..................
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[CV] c1=0.2580524477536395, c2=0.02506159942597911 ...................
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[CV] c1=0.35460125079999844, c2=0.0008836952433573171 ................
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[CV] c1=0.26371633815592305, c2=0.12274372539673989 ..................
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[CV] c1=0.13615813382618788, c2=0.03017671352232767 ..................
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[CV] c1=0.5377631801313764, c2=0.022195953517007455 ..................
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[CV] c1=0.509570987234981, c2=0.08375458922951341 ....................
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[CV] c1=0.07920069893418874, c2=0.005807967291107957 .................
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[CV] c1=0.26371633815592305, c2=0.12274372539673989 ..................
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[CV] c1=0.13615813382618788, c2=0.03017671352232767 ..................
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[CV] c1=0.5377631801313764, c2=0.022195953517007455 ..................
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[CV] c1=0.2580524477536395, c2=0.02506159942597911 ...................
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[CV] c1=0.07920069893418874, c2=0.005807967291107957 .................
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[CV] c1=0.26371633815592305, c2=0.12274372539673989 ..................
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[CV] c1=0.13615813382618788, c2=0.03017671352232767 ..................
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[CV] c1=0.5377631801313764, c2=0.022195953517007455 ..................
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[CV] c1=0.18322334926653372, c2=0.09644068384338038 ..................
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[CV] c1=0.681921483787212, c2=0.014793326214282879 ...................
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[CV] c1=0.26371633815592305, c2=0.12274372539673989 ..................
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[CV] c1=0.13615813382618788, c2=0.03017671352232767 ..................
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[CV] c1=0.5377631801313764, c2=0.022195953517007455 ..................
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[CV] c1=0.18322334926653372, c2=0.09644068384338038 ..................
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[CV] c1=0.681921483787212, c2=0.014793326214282879 ...................
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[CV] c1=0.05869898623722187, c2=0.014018897903934567 .................
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[CV] c1=0.13615813382618788, c2=0.03017671352232767 ..................
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[CV] c1=0.5377631801313764, c2=0.022195953517007455 ..................
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[CV] c1=0.509570987234981, c2=0.08375458922951341 ....................
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[CV] c1=0.35460125079999844, c2=0.0008836952433573171 ................
[CV] c1=0.35460125079999844, c2=0.0008836952433573171, score=0.851597 - 1.3s
[CV] c1=0.07408630575173106, c2=0.04892357851637686 ..................
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[CV] c1=0.5281367792880114, c2=0.026544925748377076 ..................
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[CV] c1=0.3352785320030445, c2=0.17996994960024804 ...................
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[CV] c1=0.509570987234981, c2=0.08375458922951341 ....................
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[CV] c1=0.35460125079999844, c2=0.0008836952433573171 ................
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[CV] c1=0.07408630575173106, c2=0.04892357851637686 ..................
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[CV] c1=0.5281367792880114, c2=0.026544925748377076 ..................
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[CV] c1=0.3352785320030445, c2=0.17996994960024804 ...................
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[CV] c1=0.2580524477536395, c2=0.02506159942597911 ...................
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[CV] c1=0.07920069893418874, c2=0.005807967291107957 .................
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[CV] c1=0.07408630575173106, c2=0.04892357851637686 ..................
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[CV] c1=0.5281367792880114, c2=0.026544925748377076 ..................
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[CV] c1=0.3352785320030445, c2=0.17996994960024804 ...................
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[CV] c1=0.509570987234981, c2=0.08375458922951341 ....................
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[CV] c1=0.35460125079999844, c2=0.0008836952433573171 ................
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[CV] c1=0.07408630575173106, c2=0.04892357851637686 ..................
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[CV] c1=0.5281367792880114, c2=0.026544925748377076 ..................
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[CV] c1=0.3352785320030445, c2=0.17996994960024804 ...................
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[CV] c1=0.509570987234981, c2=0.08375458922951341 ....................
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[CV] c1=0.35460125079999844, c2=0.0008836952433573171 ................
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[CV] c1=0.07408630575173106, c2=0.04892357851637686 ..................
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[CV] c1=0.5281367792880114, c2=0.026544925748377076 ..................
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[CV] c1=0.3352785320030445, c2=0.17996994960024804 ...................
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[CV] c1=0.509570987234981, c2=0.08375458922951341 ....................
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[CV] c1=0.35460125079999844, c2=0.0008836952433573171 ................
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[CV] c1=0.07408630575173106, c2=0.04892357851637686 ..................
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[CV] c1=0.5281367792880114, c2=0.026544925748377076 ..................
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[CV] c1=0.3352785320030445, c2=0.17996994960024804 ...................
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[CV] c1=0.509570987234981, c2=0.08375458922951341 ....................
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[CV] c1=0.35460125079999844, c2=0.0008836952433573171 ................
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[CV] c1=0.07408630575173106, c2=0.04892357851637686 ..................
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[CV] c1=0.5281367792880114, c2=0.026544925748377076 ..................
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[CV] c1=0.3352785320030445, c2=0.17996994960024804 ...................
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[CV] c1=1.4038809296134227, c2=0.0037087674059544267 .................
[CV] c1=1.4038809296134227, c2=0.0037087674059544267, score=0.743110 - 0.9s
[CV] c1=0.06239897390692768, c2=0.02465699508168911 ..................
[CV] c1=0.06239897390692768, c2=0.02465699508168911, score=0.954937 - 1.2s
[CV] c1=0.10610949495896399, c2=0.11844615478204674 ..................
[CV] c1=0.10610949495896399, c2=0.11844615478204674, score=0.872936 - 1.2s
[CV] c1=0.11742461718830033, c2=0.02662617554316118 ..................
[CV] c1=0.11742461718830033, c2=0.02662617554316118, score=0.897917 - 1.2s
[CV] c1=0.5281367792880114, c2=0.026544925748377076 ..................
[CV] c1=0.5281367792880114, c2=0.026544925748377076, score=0.939034 - 1.2s
[CV] c1=0.3352785320030445, c2=0.17996994960024804 ...................
[CV] c1=0.3352785320030445, c2=0.17996994960024804, score=0.816898 - 1.0s
Training done in: 8.255246s
Saving training model...
Saving training model done in: 0.013229s
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Prediction done in: 0.030456s