Run1_v11.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: _v11
Exclude symbols: False
-------------------------------- PROCESSING --------------------------------
Reading corpus...
Sentences training data: 286
Sentences test data: 123
Reading corpus done in: 0.003661s
-------------------------------- FEATURES --------------------------------
--------------------------Features Training ---------------------------
0 1
0 lemma 2
1 postag CD
2 -1:lemma fructose
3 -1:postag NN
--------------------------- FeaturesTest -----------------------------
0 1
0 lemma delta-arca
1 postag NN
2 -1:lemma _
3 -1:postag NN
4 +1:lemma _
5 +1:postag CD
Fitting 10 folds for each of 20 candidates, totalling 200 fits
[CV] c1=0.20934163148847484, c2=5.972574594521125e-05 ................
[CV] c1=0.20934163148847484, c2=5.972574594521125e-05, score=0.862849 - 1.1s
[CV] c1=0.08128668233823869, c2=0.015540324479165422 .................
[CV] c1=0.08128668233823869, c2=0.015540324479165422, score=0.919033 - 1.1s
[CV] c1=0.5160556959866659, c2=0.00838831450556026 ...................
[CV] c1=0.5160556959866659, c2=0.00838831450556026, score=0.906157 - 1.3s
[CV] c1=1.7122140999971878, c2=0.05658957314559598 ...................
[CV] c1=1.7122140999971878, c2=0.05658957314559598, score=0.844021 - 1.1s
[CV] c1=0.4946687667859687, c2=0.0542592515703674 ....................
[CV] c1=0.4946687667859687, c2=0.0542592515703674, score=0.808915 - 0.7s
[CV] c1=0.3416431887936145, c2=0.0064368649263298276 .................
[CV] c1=0.3416431887936145, c2=0.0064368649263298276, score=0.792622 - 1.1s
[CV] c1=0.4088757117025328, c2=0.09168395187353322 ...................
[CV] c1=0.4088757117025328, c2=0.09168395187353322, score=0.755521 - 1.1s
[CV] c1=0.38466523790200696, c2=0.014294801698835725 .................
[CV] c1=0.38466523790200696, c2=0.014294801698835725, score=0.792622 - 1.2s
[CV] c1=0.16523896983656627, c2=0.036164164069576 ....................
[CV] c1=0.16523896983656627, c2=0.036164164069576, score=0.832821 - 1.2s
[CV] c1=0.25680804182641076, c2=0.0023964124558177556 ................
[CV] c1=0.25680804182641076, c2=0.0023964124558177556, score=0.844183 - 0.9s
[CV] c1=0.3416431887936145, c2=0.0064368649263298276 .................
[CV] c1=0.3416431887936145, c2=0.0064368649263298276, score=0.911899 - 1.1s
[CV] c1=0.4088757117025328, c2=0.09168395187353322 ...................
[CV] c1=0.4088757117025328, c2=0.09168395187353322, score=0.848019 - 1.0s
[CV] c1=0.38466523790200696, c2=0.014294801698835725 .................
[CV] c1=0.38466523790200696, c2=0.014294801698835725, score=0.794216 - 1.2s
[CV] c1=0.16523896983656627, c2=0.036164164069576 ....................
[CV] c1=0.16523896983656627, c2=0.036164164069576, score=0.929943 - 1.0s
[CV] c1=0.25680804182641076, c2=0.0023964124558177556 ................
[CV] c1=0.25680804182641076, c2=0.0023964124558177556, score=0.874938 - 1.1s
[CV] c1=0.016682035458511702, c2=0.007521135075766578 ................
[CV] c1=0.016682035458511702, c2=0.007521135075766578, score=0.869971 - 0.9s
[CV] c1=0.4088757117025328, c2=0.09168395187353322 ...................
[CV] c1=0.4088757117025328, c2=0.09168395187353322, score=0.862491 - 1.2s
[CV] c1=0.38466523790200696, c2=0.014294801698835725 .................
[CV] c1=0.38466523790200696, c2=0.014294801698835725, score=0.868591 - 1.1s
[CV] c1=0.16523896983656627, c2=0.036164164069576 ....................
[CV] c1=0.16523896983656627, c2=0.036164164069576, score=0.892921 - 1.0s
[CV] c1=0.4946687667859687, c2=0.0542592515703674 ....................
[CV] c1=0.4946687667859687, c2=0.0542592515703674, score=0.849102 - 1.0s
[CV] c1=0.3416431887936145, c2=0.0064368649263298276 .................
[CV] c1=0.3416431887936145, c2=0.0064368649263298276, score=0.927140 - 1.2s
[CV] c1=0.9870335277617494, c2=0.04765866813729092 ...................
[CV] c1=0.9870335277617494, c2=0.04765866813729092, score=0.595497 - 1.1s
[CV] c1=0.4739364495651378, c2=0.008016632345172418 ..................
[CV] c1=0.4739364495651378, c2=0.008016632345172418, score=0.708368 - 1.1s
[CV] c1=0.7148705150289486, c2=0.0060592676388864924 .................
[CV] c1=0.7148705150289486, c2=0.0060592676388864924, score=0.791386 - 1.0s
[CV] c1=0.25680804182641076, c2=0.0023964124558177556 ................
[CV] c1=0.25680804182641076, c2=0.0023964124558177556, score=0.903946 - 1.0s
[CV] c1=0.016682035458511702, c2=0.007521135075766578 ................
[CV] c1=0.016682035458511702, c2=0.007521135075766578, score=0.698765 - 1.0s
[CV] c1=0.4088757117025328, c2=0.09168395187353322 ...................
[CV] c1=0.4088757117025328, c2=0.09168395187353322, score=0.807845 - 1.2s
[CV] c1=0.4739364495651378, c2=0.008016632345172418 ..................
[CV] c1=0.4739364495651378, c2=0.008016632345172418, score=0.827517 - 1.0s
[CV] c1=0.16523896983656627, c2=0.036164164069576 ....................
[CV] c1=0.16523896983656627, c2=0.036164164069576, score=0.862849 - 1.1s
[CV] c1=0.4946687667859687, c2=0.0542592515703674 ....................
[CV] c1=0.4946687667859687, c2=0.0542592515703674, score=0.848019 - 1.0s
[CV] c1=0.3416431887936145, c2=0.0064368649263298276 .................
[CV] c1=0.3416431887936145, c2=0.0064368649263298276, score=0.856620 - 1.0s
[CV] c1=0.4088757117025328, c2=0.09168395187353322 ...................
[CV] c1=0.4088757117025328, c2=0.09168395187353322, score=0.794216 - 1.1s
[CV] c1=0.38466523790200696, c2=0.014294801698835725 .................
[CV] c1=0.38466523790200696, c2=0.014294801698835725, score=0.851982 - 1.2s
[CV] c1=0.16523896983656627, c2=0.036164164069576 ....................
[CV] c1=0.16523896983656627, c2=0.036164164069576, score=0.902103 - 1.2s
[CV] c1=0.28200022301003685, c2=0.0010305816691186325 ................
[CV] c1=0.28200022301003685, c2=0.0010305816691186325, score=0.874938 - 0.9s
[CV] c1=0.016682035458511702, c2=0.007521135075766578 ................
[CV] c1=0.016682035458511702, c2=0.007521135075766578, score=0.923212 - 1.0s
[CV] c1=0.9870335277617494, c2=0.04765866813729092 ...................
[CV] c1=0.9870335277617494, c2=0.04765866813729092, score=0.726136 - 1.0s
[CV] c1=0.38466523790200696, c2=0.014294801698835725 .................
[CV] c1=0.38466523790200696, c2=0.014294801698835725, score=0.907748 - 1.2s
[CV] c1=0.16523896983656627, c2=0.036164164069576 ....................
[CV] c1=0.16523896983656627, c2=0.036164164069576, score=0.846394 - 1.1s
[CV] c1=0.28200022301003685, c2=0.0010305816691186325 ................
[CV] c1=0.28200022301003685, c2=0.0010305816691186325, score=0.912263 - 0.8s
[CV] c1=0.3416431887936145, c2=0.0064368649263298276 .................
[CV] c1=0.3416431887936145, c2=0.0064368649263298276, score=0.868591 - 1.0s
[CV] c1=0.4088757117025328, c2=0.09168395187353322 ...................
[CV] c1=0.4088757117025328, c2=0.09168395187353322, score=0.634294 - 1.1s
[CV] c1=0.38466523790200696, c2=0.014294801698835725 .................
[CV] c1=0.38466523790200696, c2=0.014294801698835725, score=0.708368 - 1.2s
[CV] c1=0.16523896983656627, c2=0.036164164069576 ....................
[CV] c1=0.16523896983656627, c2=0.036164164069576, score=0.794216 - 1.1s
[CV] c1=0.28200022301003685, c2=0.0010305816691186325 ................
[CV] c1=0.28200022301003685, c2=0.0010305816691186325, score=0.821993 - 0.9s
[CV] c1=0.3416431887936145, c2=0.0064368649263298276 .................
[CV] c1=0.3416431887936145, c2=0.0064368649263298276, score=0.920954 - 1.1s
[CV] c1=0.9870335277617494, c2=0.04765866813729092 ...................
[CV] c1=0.9870335277617494, c2=0.04765866813729092, score=0.765873 - 1.1s
[CV] c1=0.38466523790200696, c2=0.014294801698835725 .................
[CV] c1=0.38466523790200696, c2=0.014294801698835725, score=0.812884 - 1.1s
[CV] c1=0.16523896983656627, c2=0.036164164069576 ....................
[CV] c1=0.16523896983656627, c2=0.036164164069576, score=0.935212 - 1.1s
[CV] c1=0.25680804182641076, c2=0.0023964124558177556 ................
[CV] c1=0.25680804182641076, c2=0.0023964124558177556, score=0.915096 - 1.0s
[CV] c1=0.016682035458511702, c2=0.007521135075766578 ................
[CV] c1=0.016682035458511702, c2=0.007521135075766578, score=0.878466 - 1.1s
[CV] c1=0.9870335277617494, c2=0.04765866813729092 ...................
[CV] c1=0.9870335277617494, c2=0.04765866813729092, score=0.729107 - 1.0s
[CV] c1=0.4739364495651378, c2=0.008016632345172418 ..................
[CV] c1=0.4739364495651378, c2=0.008016632345172418, score=0.913639 - 1.1s
[CV] c1=0.7148705150289486, c2=0.0060592676388864924 .................
[CV] c1=0.7148705150289486, c2=0.0060592676388864924, score=0.839637 - 0.9s
[CV] c1=0.25680804182641076, c2=0.0023964124558177556 ................
[CV] c1=0.25680804182641076, c2=0.0023964124558177556, score=0.842269 - 1.1s
[CV] c1=0.12930688817551622, c2=0.07034964230848688 ..................
[CV] c1=0.12930688817551622, c2=0.07034964230848688, score=0.823692 - 1.1s
[CV] c1=0.9870335277617494, c2=0.04765866813729092 ...................
[CV] c1=0.9870335277617494, c2=0.04765866813729092, score=0.766586 - 1.1s
[CV] c1=0.4739364495651378, c2=0.008016632345172418 ..................
[CV] c1=0.4739364495651378, c2=0.008016632345172418, score=0.868591 - 1.0s
[CV] c1=0.7148705150289486, c2=0.0060592676388864924 .................
[CV] c1=0.7148705150289486, c2=0.0060592676388864924, score=0.885444 - 1.0s
[CV] c1=0.28200022301003685, c2=0.0010305816691186325 ................
[CV] c1=0.28200022301003685, c2=0.0010305816691186325, score=0.848671 - 0.9s
[CV] c1=0.016682035458511702, c2=0.007521135075766578 ................
[CV] c1=0.016682035458511702, c2=0.007521135075766578, score=0.855076 - 1.0s
[CV] c1=0.9870335277617494, c2=0.04765866813729092 ...................
[CV] c1=0.9870335277617494, c2=0.04765866813729092, score=0.686315 - 1.1s
[CV] c1=0.4739364495651378, c2=0.008016632345172418 ..................
[CV] c1=0.4739364495651378, c2=0.008016632345172418, score=0.780953 - 1.1s
[CV] c1=0.7148705150289486, c2=0.0060592676388864924 .................
[CV] c1=0.7148705150289486, c2=0.0060592676388864924, score=0.794216 - 1.1s
[CV] c1=0.4946687667859687, c2=0.0542592515703674 ....................
[CV] c1=0.4946687667859687, c2=0.0542592515703674, score=0.683676 - 1.0s
[CV] c1=0.3416431887936145, c2=0.0064368649263298276 .................
[CV] c1=0.3416431887936145, c2=0.0064368649263298276, score=0.794216 - 1.1s
[CV] c1=0.4088757117025328, c2=0.09168395187353322 ...................
[CV] c1=0.4088757117025328, c2=0.09168395187353322, score=0.869930 - 1.2s
[CV] c1=0.38466523790200696, c2=0.014294801698835725 .................
[CV] c1=0.38466523790200696, c2=0.014294801698835725, score=0.920954 - 1.1s
[CV] c1=0.7148705150289486, c2=0.0060592676388864924 .................
[CV] c1=0.7148705150289486, c2=0.0060592676388864924, score=0.687408 - 1.1s
[CV] c1=0.4946687667859687, c2=0.0542592515703674 ....................
[CV] c1=0.4946687667859687, c2=0.0542592515703674, score=0.894596 - 0.9s
[CV] c1=0.3416431887936145, c2=0.0064368649263298276 .................
[CV] c1=0.3416431887936145, c2=0.0064368649263298276, score=0.703882 - 1.1s
[CV] c1=0.4088757117025328, c2=0.09168395187353322 ...................
[CV] c1=0.4088757117025328, c2=0.09168395187353322, score=0.894596 - 1.1s
[CV] c1=0.38466523790200696, c2=0.014294801698835725 .................
[CV] c1=0.38466523790200696, c2=0.014294801698835725, score=0.921051 - 1.1s
[CV] c1=0.16523896983656627, c2=0.036164164069576 ....................
[CV] c1=0.16523896983656627, c2=0.036164164069576, score=0.683676 - 1.2s
[CV] c1=0.4946687667859687, c2=0.0542592515703674 ....................
[CV] c1=0.4946687667859687, c2=0.0542592515703674, score=0.752527 - 1.2s
[CV] c1=0.3416431887936145, c2=0.0064368649263298276 .................
[CV] c1=0.3416431887936145, c2=0.0064368649263298276, score=0.812884 - 1.1s
[CV] c1=0.4088757117025328, c2=0.09168395187353322 ...................
[CV] c1=0.4088757117025328, c2=0.09168395187353322, score=0.935314 - 1.2s
[CV] c1=0.4739364495651378, c2=0.008016632345172418 ..................
[CV] c1=0.4739364495651378, c2=0.008016632345172418, score=0.911899 - 1.0s
[CV] c1=0.7148705150289486, c2=0.0060592676388864924 .................
[CV] c1=0.7148705150289486, c2=0.0060592676388864924, score=0.661486 - 1.2s
[CV] c1=0.25680804182641076, c2=0.0023964124558177556 ................
[CV] c1=0.25680804182641076, c2=0.0023964124558177556, score=0.794216 - 1.0s
[CV] c1=0.016682035458511702, c2=0.007521135075766578 ................
[CV] c1=0.016682035458511702, c2=0.007521135075766578, score=0.813681 - 1.1s
[CV] c1=0.9870335277617494, c2=0.04765866813729092 ...................
[CV] c1=0.9870335277617494, c2=0.04765866813729092, score=0.788431 - 1.1s
[CV] c1=0.4739364495651378, c2=0.008016632345172418 ..................
[CV] c1=0.4739364495651378, c2=0.008016632345172418, score=0.861776 - 1.1s
[CV] c1=0.7148705150289486, c2=0.0060592676388864924 .................
[CV] c1=0.7148705150289486, c2=0.0060592676388864924, score=0.880614 - 0.9s
[CV] c1=0.20934163148847484, c2=5.972574594521125e-05 ................
[CV] c1=0.20934163148847484, c2=5.972574594521125e-05, score=0.908739 - 0.9s
[CV] c1=0.08128668233823869, c2=0.015540324479165422 .................
[CV] c1=0.08128668233823869, c2=0.015540324479165422, score=0.683676 - 1.0s
[CV] c1=0.4978424280676325, c2=0.20578681248358272 ...................
[CV] c1=0.4978424280676325, c2=0.20578681248358272, score=0.908218 - 1.1s
[CV] c1=1.7122140999971878, c2=0.05658957314559598 ...................
[CV] c1=1.7122140999971878, c2=0.05658957314559598, score=0.656228 - 0.9s
[CV] c1=0.1700832520653568, c2=0.028556204986796993 ..................
[CV] c1=0.1700832520653568, c2=0.028556204986796993, score=0.857498 - 0.8s
[CV] c1=0.25680804182641076, c2=0.0023964124558177556 ................
[CV] c1=0.25680804182641076, c2=0.0023964124558177556, score=0.912263 - 1.0s
[CV] c1=0.016682035458511702, c2=0.007521135075766578 ................
[CV] c1=0.016682035458511702, c2=0.007521135075766578, score=0.907875 - 1.1s
[CV] c1=0.9870335277617494, c2=0.04765866813729092 ...................
[CV] c1=0.9870335277617494, c2=0.04765866813729092, score=0.858613 - 1.1s
[CV] c1=0.4739364495651378, c2=0.008016632345172418 ..................
[CV] c1=0.4739364495651378, c2=0.008016632345172418, score=0.794216 - 1.1s
[CV] c1=0.7148705150289486, c2=0.0060592676388864924 .................
[CV] c1=0.7148705150289486, c2=0.0060592676388864924, score=0.865939 - 1.1s
[CV] c1=0.28200022301003685, c2=0.0010305816691186325 ................
[CV] c1=0.28200022301003685, c2=0.0010305816691186325, score=0.858405 - 1.1s
[CV] c1=0.12930688817551622, c2=0.07034964230848688 ..................
[CV] c1=0.12930688817551622, c2=0.07034964230848688, score=0.895946 - 1.0s
[CV] c1=0.4978424280676325, c2=0.20578681248358272 ...................
[CV] c1=0.4978424280676325, c2=0.20578681248358272, score=0.704949 - 1.1s
[CV] c1=0.4739364495651378, c2=0.008016632345172418 ..................
[CV] c1=0.4739364495651378, c2=0.008016632345172418, score=0.928184 - 1.1s
[CV] c1=0.7148705150289486, c2=0.0060592676388864924 .................
[CV] c1=0.7148705150289486, c2=0.0060592676388864924, score=0.927590 - 1.0s
[CV] c1=0.28200022301003685, c2=0.0010305816691186325 ................
[CV] c1=0.28200022301003685, c2=0.0010305816691186325, score=0.936885 - 1.1s
[CV] c1=0.12930688817551622, c2=0.07034964230848688 ..................
[CV] c1=0.12930688817551622, c2=0.07034964230848688, score=0.931384 - 1.1s
[CV] c1=0.5160556959866659, c2=0.00838831450556026 ...................
[CV] c1=0.5160556959866659, c2=0.00838831450556026, score=0.827517 - 1.0s
[CV] c1=1.7122140999971878, c2=0.05658957314559598 ...................
[CV] c1=1.7122140999971878, c2=0.05658957314559598, score=0.675699 - 1.1s
[CV] c1=0.1700832520653568, c2=0.028556204986796993 ..................
[CV] c1=0.1700832520653568, c2=0.028556204986796993, score=0.908106 - 0.8s
[CV] c1=0.28200022301003685, c2=0.0010305816691186325 ................
[CV] c1=0.28200022301003685, c2=0.0010305816691186325, score=0.708368 - 1.0s
[CV] c1=0.016682035458511702, c2=0.007521135075766578 ................
[CV] c1=0.016682035458511702, c2=0.007521135075766578, score=0.842508 - 1.0s
[CV] c1=0.9870335277617494, c2=0.04765866813729092 ...................
[CV] c1=0.9870335277617494, c2=0.04765866813729092, score=0.905836 - 1.2s
[CV] c1=0.02176968258286127, c2=0.02945484477062978 ..................
[CV] c1=0.02176968258286127, c2=0.02945484477062978, score=0.867117 - 1.1s
[CV] c1=0.1700832520653568, c2=0.028556204986796993 ..................
[CV] c1=0.1700832520653568, c2=0.028556204986796993, score=0.937126 - 0.9s
[CV] c1=0.25680804182641076, c2=0.0023964124558177556 ................
[CV] c1=0.25680804182641076, c2=0.0023964124558177556, score=0.708368 - 1.1s
[CV] c1=0.016682035458511702, c2=0.007521135075766578 ................
[CV] c1=0.016682035458511702, c2=0.007521135075766578, score=0.914857 - 1.0s
[CV] c1=0.9870335277617494, c2=0.04765866813729092 ...................
[CV] c1=0.9870335277617494, c2=0.04765866813729092, score=0.848732 - 1.1s
[CV] c1=0.4739364495651378, c2=0.008016632345172418 ..................
[CV] c1=0.4739364495651378, c2=0.008016632345172418, score=0.812884 - 1.1s
[CV] c1=0.7148705150289486, c2=0.0060592676388864924 .................
[CV] c1=0.7148705150289486, c2=0.0060592676388864924, score=0.804678 - 1.1s
[CV] c1=0.20934163148847484, c2=5.972574594521125e-05 ................
[CV] c1=0.20934163148847484, c2=5.972574594521125e-05, score=0.703882 - 1.1s
[CV] c1=0.08128668233823869, c2=0.015540324479165422 .................
[CV] c1=0.08128668233823869, c2=0.015540324479165422, score=0.794216 - 1.1s
[CV] c1=0.5160556959866659, c2=0.00838831450556026 ...................
[CV] c1=0.5160556959866659, c2=0.00838831450556026, score=0.911899 - 1.0s
[CV] c1=1.7122140999971878, c2=0.05658957314559598 ...................
[CV] c1=1.7122140999971878, c2=0.05658957314559598, score=0.533949 - 1.1s
[CV] c1=0.009613034807642702, c2=0.07925857169298134 .................
[CV] c1=0.009613034807642702, c2=0.07925857169298134, score=0.879947 - 0.9s
[CV] c1=0.20934163148847484, c2=5.972574594521125e-05 ................
[CV] c1=0.20934163148847484, c2=5.972574594521125e-05, score=0.848671 - 1.0s
[CV] c1=0.12930688817551622, c2=0.07034964230848688 ..................
[CV] c1=0.12930688817551622, c2=0.07034964230848688, score=0.905220 - 1.1s
[CV] c1=0.4978424280676325, c2=0.20578681248358272 ...................
[CV] c1=0.4978424280676325, c2=0.20578681248358272, score=0.764186 - 1.1s
[CV] c1=0.02176968258286127, c2=0.02945484477062978 ..................
[CV] c1=0.02176968258286127, c2=0.02945484477062978, score=0.926291 - 1.1s
[CV] c1=0.1700832520653568, c2=0.028556204986796993 ..................
[CV] c1=0.1700832520653568, c2=0.028556204986796993, score=0.836791 - 0.9s
[CV] c1=0.20934163148847484, c2=5.972574594521125e-05 ................
[CV] c1=0.20934163148847484, c2=5.972574594521125e-05, score=0.932540 - 1.2s
[CV] c1=0.08128668233823869, c2=0.015540324479165422 .................
[CV] c1=0.08128668233823869, c2=0.015540324479165422, score=0.853754 - 1.0s
[CV] c1=0.5160556959866659, c2=0.00838831450556026 ...................
[CV] c1=0.5160556959866659, c2=0.00838831450556026, score=0.794216 - 1.1s
[CV] c1=1.7122140999971878, c2=0.05658957314559598 ...................
[CV] c1=1.7122140999971878, c2=0.05658957314559598, score=0.692122 - 1.1s
[CV] c1=0.009613034807642702, c2=0.07925857169298134 .................
[CV] c1=0.009613034807642702, c2=0.07925857169298134, score=0.898568 - 0.8s
[CV] c1=0.28200022301003685, c2=0.0010305816691186325 ................
[CV] c1=0.28200022301003685, c2=0.0010305816691186325, score=0.915096 - 1.1s
[CV] c1=0.08128668233823869, c2=0.015540324479165422 .................
[CV] c1=0.08128668233823869, c2=0.015540324479165422, score=0.879947 - 1.0s
[CV] c1=0.4978424280676325, c2=0.20578681248358272 ...................
[CV] c1=0.4978424280676325, c2=0.20578681248358272, score=0.850379 - 1.1s
[CV] c1=0.02176968258286127, c2=0.02945484477062978 ..................
[CV] c1=0.02176968258286127, c2=0.02945484477062978, score=0.864469 - 1.0s
[CV] c1=0.1700832520653568, c2=0.028556204986796993 ..................
[CV] c1=0.1700832520653568, c2=0.028556204986796993, score=0.921051 - 1.0s
[CV] c1=0.28200022301003685, c2=0.0010305816691186325 ................
[CV] c1=0.28200022301003685, c2=0.0010305816691186325, score=0.830456 - 1.1s
[CV] c1=0.08128668233823869, c2=0.015540324479165422 .................
[CV] c1=0.08128668233823869, c2=0.015540324479165422, score=0.913940 - 1.1s
[CV] c1=0.5160556959866659, c2=0.00838831450556026 ...................
[CV] c1=0.5160556959866659, c2=0.00838831450556026, score=0.772194 - 1.0s
[CV] c1=0.02176968258286127, c2=0.02945484477062978 ..................
[CV] c1=0.02176968258286127, c2=0.02945484477062978, score=0.849711 - 1.1s
[CV] c1=0.009613034807642702, c2=0.07925857169298134 .................
[CV] c1=0.009613034807642702, c2=0.07925857169298134, score=0.857683 - 0.9s
[CV] c1=0.4946687667859687, c2=0.0542592515703674 ....................
[CV] c1=0.4946687667859687, c2=0.0542592515703674, score=0.869930 - 1.2s
[CV] c1=0.016682035458511702, c2=0.007521135075766578 ................
[CV] c1=0.016682035458511702, c2=0.007521135075766578, score=0.926291 - 1.1s
[CV] c1=0.4978424280676325, c2=0.20578681248358272 ...................
[CV] c1=0.4978424280676325, c2=0.20578681248358272, score=0.759391 - 1.1s
[CV] c1=0.02176968258286127, c2=0.02945484477062978 ..................
[CV] c1=0.02176968258286127, c2=0.02945484477062978, score=0.879947 - 1.1s
[CV] c1=0.1700832520653568, c2=0.028556204986796993 ..................
[CV] c1=0.1700832520653568, c2=0.028556204986796993, score=0.846481 - 1.1s
[CV] c1=0.4946687667859687, c2=0.0542592515703674 ....................
[CV] c1=0.4946687667859687, c2=0.0542592515703674, score=0.931111 - 1.2s
[CV] c1=0.12930688817551622, c2=0.07034964230848688 ..................
[CV] c1=0.12930688817551622, c2=0.07034964230848688, score=0.875460 - 1.2s
[CV] c1=0.4978424280676325, c2=0.20578681248358272 ...................
[CV] c1=0.4978424280676325, c2=0.20578681248358272, score=0.893737 - 1.0s
[CV] c1=0.02176968258286127, c2=0.02945484477062978 ..................
[CV] c1=0.02176968258286127, c2=0.02945484477062978, score=0.925597 - 1.1s
[CV] c1=0.1700832520653568, c2=0.028556204986796993 ..................
[CV] c1=0.1700832520653568, c2=0.028556204986796993, score=0.794216 - 1.0s
[CV] c1=0.20934163148847484, c2=5.972574594521125e-05 ................
[CV] c1=0.20934163148847484, c2=5.972574594521125e-05, score=0.915096 - 1.1s
[CV] c1=0.08128668233823869, c2=0.015540324479165422 .................
[CV] c1=0.08128668233823869, c2=0.015540324479165422, score=0.907503 - 1.1s
[CV] c1=0.5160556959866659, c2=0.00838831450556026 ...................
[CV] c1=0.5160556959866659, c2=0.00838831450556026, score=0.868591 - 1.1s
[CV] c1=1.7122140999971878, c2=0.05658957314559598 ...................
[CV] c1=1.7122140999971878, c2=0.05658957314559598, score=0.693320 - 1.1s
[CV] c1=0.009613034807642702, c2=0.07925857169298134 .................
[CV] c1=0.009613034807642702, c2=0.07925857169298134, score=0.876457 - 0.8s
[CV] c1=0.20934163148847484, c2=5.972574594521125e-05 ................
[CV] c1=0.20934163148847484, c2=5.972574594521125e-05, score=0.842269 - 1.4s
[CV] c1=0.4088757117025328, c2=0.09168395187353322 ...................
[CV] c1=0.4088757117025328, c2=0.09168395187353322, score=0.825809 - 1.0s
[CV] c1=0.38466523790200696, c2=0.014294801698835725 .................
[CV] c1=0.38466523790200696, c2=0.014294801698835725, score=0.827517 - 0.9s
[CV] c1=1.7122140999971878, c2=0.05658957314559598 ...................
[CV] c1=1.7122140999971878, c2=0.05658957314559598, score=0.785357 - 1.0s
[CV] c1=0.009613034807642702, c2=0.07925857169298134 .................
[CV] c1=0.009613034807642702, c2=0.07925857169298134, score=0.859998 - 0.9s
[CV] c1=0.25680804182641076, c2=0.0023964124558177556 ................
[CV] c1=0.25680804182641076, c2=0.0023964124558177556, score=0.931576 - 1.2s
[CV] c1=0.12930688817551622, c2=0.07034964230848688 ..................
[CV] c1=0.12930688817551622, c2=0.07034964230848688, score=0.889676 - 1.1s
[CV] c1=0.4978424280676325, c2=0.20578681248358272 ...................
[CV] c1=0.4978424280676325, c2=0.20578681248358272, score=0.794238 - 1.1s
[CV] c1=0.02176968258286127, c2=0.02945484477062978 ..................
[CV] c1=0.02176968258286127, c2=0.02945484477062978, score=0.703530 - 1.1s
[CV] c1=0.1700832520653568, c2=0.028556204986796993 ..................
[CV] c1=0.1700832520653568, c2=0.028556204986796993, score=0.708368 - 1.1s
[CV] c1=0.25680804182641076, c2=0.0023964124558177556 ................
[CV] c1=0.25680804182641076, c2=0.0023964124558177556, score=0.858405 - 1.1s
[CV] c1=0.12930688817551622, c2=0.07034964230848688 ..................
[CV] c1=0.12930688817551622, c2=0.07034964230848688, score=0.683676 - 1.2s
[CV] c1=0.4978424280676325, c2=0.20578681248358272 ...................
[CV] c1=0.4978424280676325, c2=0.20578681248358272, score=0.852946 - 1.1s
[CV] c1=0.02176968258286127, c2=0.02945484477062978 ..................
[CV] c1=0.02176968258286127, c2=0.02945484477062978, score=0.859998 - 1.1s
[CV] c1=0.1700832520653568, c2=0.028556204986796993 ..................
[CV] c1=0.1700832520653568, c2=0.028556204986796993, score=0.862849 - 1.0s
[CV] c1=0.4946687667859687, c2=0.0542592515703674 ....................
[CV] c1=0.4946687667859687, c2=0.0542592515703674, score=0.804678 - 1.3s
[CV] c1=0.12930688817551622, c2=0.07034964230848688 ..................
[CV] c1=0.12930688817551622, c2=0.07034964230848688, score=0.857679 - 1.1s
[CV] c1=0.4978424280676325, c2=0.20578681248358272 ...................
[CV] c1=0.4978424280676325, c2=0.20578681248358272, score=0.619013 - 1.1s
[CV] c1=0.02176968258286127, c2=0.02945484477062978 ..................
[CV] c1=0.02176968258286127, c2=0.02945484477062978, score=0.799910 - 1.2s
[CV] c1=0.009613034807642702, c2=0.07925857169298134 .................
[CV] c1=0.009613034807642702, c2=0.07925857169298134, score=0.679174 - 1.0s
[CV] c1=0.28200022301003685, c2=0.0010305816691186325 ................
[CV] c1=0.28200022301003685, c2=0.0010305816691186325, score=0.892591 - 1.0s
[CV] c1=0.12930688817551622, c2=0.07034964230848688 ..................
[CV] c1=0.12930688817551622, c2=0.07034964230848688, score=0.794216 - 1.2s
[CV] c1=0.4978424280676325, c2=0.20578681248358272 ...................
[CV] c1=0.4978424280676325, c2=0.20578681248358272, score=0.780410 - 1.0s
[CV] c1=0.02176968258286127, c2=0.02945484477062978 ..................
[CV] c1=0.02176968258286127, c2=0.02945484477062978, score=0.883209 - 1.2s
[CV] c1=0.009613034807642702, c2=0.07925857169298134 .................
[CV] c1=0.009613034807642702, c2=0.07925857169298134, score=0.781269 - 1.0s
[CV] c1=0.20934163148847484, c2=5.972574594521125e-05 ................
[CV] c1=0.20934163148847484, c2=5.972574594521125e-05, score=0.899140 - 1.0s
[CV] c1=0.12930688817551622, c2=0.07034964230848688 ..................
[CV] c1=0.12930688817551622, c2=0.07034964230848688, score=0.824977 - 1.2s
[CV] c1=0.5160556959866659, c2=0.00838831450556026 ...................
[CV] c1=0.5160556959866659, c2=0.00838831450556026, score=0.708368 - 1.1s
[CV] c1=1.7122140999971878, c2=0.05658957314559598 ...................
[CV] c1=1.7122140999971878, c2=0.05658957314559598, score=0.829117 - 1.0s
[CV] c1=0.1700832520653568, c2=0.028556204986796993 ..................
[CV] c1=0.1700832520653568, c2=0.028556204986796993, score=0.931384 - 1.1s
[CV] c1=0.20934163148847484, c2=5.972574594521125e-05 ................
[CV] c1=0.20934163148847484, c2=5.972574594521125e-05, score=0.822899 - 1.4s
[CV] c1=0.08128668233823869, c2=0.015540324479165422 .................
[CV] c1=0.08128668233823869, c2=0.015540324479165422, score=0.930828 - 1.1s
[CV] c1=0.5160556959866659, c2=0.00838831450556026 ...................
[CV] c1=0.5160556959866659, c2=0.00838831450556026, score=0.920058 - 1.3s
[CV] c1=0.16523896983656627, c2=0.036164164069576 ....................
[CV] c1=0.16523896983656627, c2=0.036164164069576, score=0.857498 - 0.9s
[CV] c1=0.009613034807642702, c2=0.07925857169298134 .................
[CV] c1=0.009613034807642702, c2=0.07925857169298134, score=0.910520 - 0.9s
Training done in: 7.066632s
Saving training model...
Saving training model done in: 0.014236s
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Prediction done in: 0.026365s