Carlos-Francisco Méndez-Cruz / automatic-extraction-growth-conditions

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Run8_v13.txt 73.1 KB
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-------------------------------- PARAMETERS --------------------------------
Path of test and training data sets: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
Path of outputs: /home/egaytan/automatic-extraction-growth-conditions/CRF/
File with training data set: training-data-set-70-NER.txt
File with test data set: test-data-set-30-NER.txt
reportName: Run8
Exclude stop words: False
Levels: S1: TrueS2: TrueS3: TrueS4: False
Run variant: 13
Number of rules on report file: 500
Exclude symbols: False
-------------------------------- PROCESSING --------------------------------
Reading corpus...
   Sentences training data: 286
   Sentences test data: 123
Reading corpus done in: 0.003723s
-------------------------------- FEATURES --------------------------------
--------------------------Features Training ---------------------------
            0        1
0       lemma        :
1      postag        :
2    -1:lemma       in
3   -1:postag       IN
4    +1:lemma       m9
5   +1:postag       NN
6      hUpper    False
7      hLower    False
8      hGreek    False
9        symb    False
10  lemma[:1]        :
11       word        :
12    isUpper    False
13    isLower    False
14    isGreek    False
15   isNumber    False
16    -1:word       in
17    +1:word       M9
18   -2:lemma  culture
19  -2:postag      VBN
20   +2:lemma  minimal
21  +2:postag       JJ
--------------------------- 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      hUpper        True
7      hLower        True
8      hGreek       False
9        symb       False
10  lemma[:1]           d
11  lemma[:2]          de
12       word  delta-arcA
13    isUpper       False
14    isLower       False
15    isGreek       False
16   isNumber       False
17    -1:word           _
18    +1:word           _
19   -2:lemma     affyexp
20  -2:postag          JJ
21   +2:lemma     glucose
22  +2:postag          NN
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=0.09245604936027249, c2=0.044799576131441705 .................
[CV]  c1=0.09245604936027249, c2=0.044799576131441705, score=0.808350 -   1.7s
[CV] c1=0.12710770050992276, c2=0.029788765873714637 .................
[CV]  c1=0.12710770050992276, c2=0.029788765873714637, score=0.865956 -   1.6s
[CV] c1=0.10822832806412666, c2=0.04693474442948867 ..................
[CV]  c1=0.10822832806412666, c2=0.04693474442948867, score=0.755352 -   1.3s
[CV] c1=0.684259035070215, c2=0.08846220857287168 ....................
[CV]  c1=0.684259035070215, c2=0.08846220857287168, score=0.872381 -   1.6s
[CV] c1=1.4314926556073426, c2=0.015805566284174517 ..................
[CV]  c1=1.4314926556073426, c2=0.015805566284174517, score=0.577839 -   1.7s
[CV] c1=0.41030275850266484, c2=0.034978667392403504 .................
[CV]  c1=0.41030275850266484, c2=0.034978667392403504, score=0.837672 -   1.6s
[CV] c1=0.13734568667303979, c2=0.02189921377855661 ..................
[CV]  c1=0.13734568667303979, c2=0.02189921377855661, score=0.898152 -   1.7s
[CV] c1=0.2196243644599521, c2=0.020887544542368536 ..................
[CV]  c1=0.2196243644599521, c2=0.020887544542368536, score=0.901717 -   1.7s
[CV] c1=0.022638950003965846, c2=0.07170495716742796 .................
[CV]  c1=0.022638950003965846, c2=0.07170495716742796, score=0.898887 -   1.6s
[CV] c1=1.282716565896658, c2=0.07230340383635496 ....................
[CV]  c1=1.282716565896658, c2=0.07230340383635496, score=0.633341 -   1.7s
[CV] c1=1.1484684092179165, c2=0.0020473841992481225 .................
[CV]  c1=1.1484684092179165, c2=0.0020473841992481225, score=0.854735 -   1.6s
[CV] c1=0.03946222392122633, c2=0.06555347720932964 ..................
[CV]  c1=0.03946222392122633, c2=0.06555347720932964, score=0.894358 -   1.6s
[CV] c1=0.2813650877323856, c2=0.0061678864384039495 .................
[CV]  c1=0.2813650877323856, c2=0.0061678864384039495, score=0.801518 -   1.7s
[CV] c1=0.12710770050992276, c2=0.029788765873714637 .................
[CV]  c1=0.12710770050992276, c2=0.029788765873714637, score=0.810739 -   1.7s
[CV] c1=0.10822832806412666, c2=0.04693474442948867 ..................
[CV]  c1=0.10822832806412666, c2=0.04693474442948867, score=0.901717 -   1.7s
[CV] c1=0.12912558589436532, c2=0.1389784970193525 ...................
[CV]  c1=0.12912558589436532, c2=0.1389784970193525, score=0.723776 -   1.4s
[CV] c1=1.3180430749006797, c2=0.0407274559925451 ....................
[CV]  c1=1.3180430749006797, c2=0.0407274559925451, score=0.849911 -   1.7s
[CV] c1=0.41030275850266484, c2=0.034978667392403504 .................
[CV]  c1=0.41030275850266484, c2=0.034978667392403504, score=0.871475 -   1.7s
[CV] c1=1.8212920510360737, c2=0.009769163017276164 ..................
[CV]  c1=1.8212920510360737, c2=0.009769163017276164, score=0.637459 -   1.6s
[CV] c1=0.1573897556765044, c2=0.13640084914189118 ...................
[CV]  c1=0.1573897556765044, c2=0.13640084914189118, score=0.736726 -   1.2s
[CV] c1=0.2616946359293715, c2=0.04171398664362436 ...................
[CV]  c1=0.2616946359293715, c2=0.04171398664362436, score=0.871926 -   1.7s
[CV] c1=0.0016289348786748912, c2=0.024161486290513023 ...............
[CV]  c1=0.0016289348786748912, c2=0.024161486290513023, score=0.822631 -   1.6s
[CV] c1=0.06378856392456368, c2=0.029846296728975326 .................
[CV]  c1=0.06378856392456368, c2=0.029846296728975326, score=0.835470 -   1.7s
[CV] c1=0.13754021430459537, c2=0.022437767715578278 .................
[CV]  c1=0.13754021430459537, c2=0.022437767715578278, score=0.810739 -   1.7s
[CV] c1=0.19836886868752185, c2=0.021048088592297225 .................
[CV]  c1=0.19836886868752185, c2=0.021048088592297225, score=0.760617 -   1.5s
[CV] c1=0.9578249040410199, c2=0.047259792490022795 ..................
[CV]  c1=0.9578249040410199, c2=0.047259792490022795, score=0.855423 -   1.6s
[CV] c1=0.13037145059594754, c2=0.01579009936542959 ..................
[CV]  c1=0.13037145059594754, c2=0.01579009936542959, score=0.810499 -   1.7s
[CV] c1=0.37348711925205613, c2=0.02253568278860858 ..................
[CV]  c1=0.37348711925205613, c2=0.02253568278860858, score=0.797835 -   1.9s
[CV] c1=0.235120296463999, c2=0.05614650529986234 ....................
[CV]  c1=0.235120296463999, c2=0.05614650529986234, score=0.853034 -   2.0s
[CV] c1=0.18620762521824158, c2=0.017205285841348457 .................
[CV]  c1=0.18620762521824158, c2=0.017205285841348457, score=0.859304 -   1.7s
[CV] c1=0.07151214578266712, c2=0.07184023569475241 ..................
[CV]  c1=0.07151214578266712, c2=0.07184023569475241, score=0.810739 -   1.7s
[CV] c1=0.3343526947910079, c2=0.07449067112297407 ...................
[CV]  c1=0.3343526947910079, c2=0.07449067112297407, score=0.899813 -   1.7s
[CV] c1=0.3938705746867787, c2=0.12784077973254596 ...................
[CV]  c1=0.3938705746867787, c2=0.12784077973254596, score=0.735355 -   1.4s
[CV] c1=0.25465461129137207, c2=0.05132380653503951 ..................
[CV]  c1=0.25465461129137207, c2=0.05132380653503951, score=0.853258 -   1.8s
[CV] c1=0.011602935511530561, c2=0.14278876671691243 .................
[CV]  c1=0.011602935511530561, c2=0.14278876671691243, score=0.880176 -   1.6s
[CV] c1=0.25833668946182947, c2=0.0010406505408960954 ................
[CV]  c1=0.25833668946182947, c2=0.0010406505408960954, score=0.727208 -   1.5s
[CV] c1=0.11121749437261914, c2=0.005842399282427396 .................
[CV]  c1=0.11121749437261914, c2=0.005842399282427396, score=0.821063 -   1.8s
[CV] c1=0.08791161163587914, c2=0.06965238792479574 ..................
[CV]  c1=0.08791161163587914, c2=0.06965238792479574, score=0.850208 -   1.6s
[CV] c1=1.8158423586602825, c2=0.024533879374718747 ..................
[CV]  c1=1.8158423586602825, c2=0.024533879374718747, score=0.628806 -   1.7s
[CV] c1=0.06470476905895636, c2=0.011753315271671448 .................
[CV]  c1=0.06470476905895636, c2=0.011753315271671448, score=0.858705 -   1.5s
[CV] c1=0.6530536219567772, c2=0.0347538704539257 ....................
[CV]  c1=0.6530536219567772, c2=0.0347538704539257, score=0.886518 -   1.7s
[CV] c1=0.4912311255414324, c2=0.0550229702604188 ....................
[CV]  c1=0.4912311255414324, c2=0.0550229702604188, score=0.769937 -   1.6s
[CV] c1=0.1266891924716811, c2=0.003344339530181132 ..................
[CV]  c1=0.1266891924716811, c2=0.003344339530181132, score=0.736268 -   1.4s
[CV] c1=0.1573897556765044, c2=0.13640084914189118 ...................
[CV]  c1=0.1573897556765044, c2=0.13640084914189118, score=0.821616 -   1.7s
[CV] c1=0.6320176787545653, c2=0.01139997720366488 ...................
[CV]  c1=0.6320176787545653, c2=0.01139997720366488, score=0.720847 -   1.3s
[CV] c1=1.282716565896658, c2=0.07230340383635496 ....................
[CV]  c1=1.282716565896658, c2=0.07230340383635496, score=0.770511 -   1.5s
[CV] c1=0.77410488843482, c2=0.028295070864426442 ....................
[CV]  c1=0.77410488843482, c2=0.028295070864426442, score=0.703827 -   1.7s
[CV] c1=0.13754021430459537, c2=0.022437767715578278 .................
[CV]  c1=0.13754021430459537, c2=0.022437767715578278, score=0.842992 -   1.7s
[CV] c1=0.19836886868752185, c2=0.021048088592297225 .................
[CV]  c1=0.19836886868752185, c2=0.021048088592297225, score=0.843129 -   1.7s
[CV] c1=0.4432416637739945, c2=0.10032260396712223 ...................
[CV]  c1=0.4432416637739945, c2=0.10032260396712223, score=0.826036 -   1.8s
[CV] c1=0.9497346066515754, c2=0.07835570159303201 ...................
[CV]  c1=0.9497346066515754, c2=0.07835570159303201, score=0.855852 -   1.6s
[CV] c1=0.684259035070215, c2=0.08846220857287168 ....................
[CV]  c1=0.684259035070215, c2=0.08846220857287168, score=0.723953 -   1.8s
[CV] c1=0.7015483301114898, c2=0.10970908182368655 ...................
[CV]  c1=0.7015483301114898, c2=0.10970908182368655, score=0.712979 -   1.4s
[CV] c1=0.18620762521824158, c2=0.017205285841348457 .................
[CV]  c1=0.18620762521824158, c2=0.017205285841348457, score=0.745385 -   1.8s
[CV] c1=0.07151214578266712, c2=0.07184023569475241 ..................
[CV]  c1=0.07151214578266712, c2=0.07184023569475241, score=0.760632 -   1.4s
[CV] c1=0.2196243644599521, c2=0.020887544542368536 ..................
[CV]  c1=0.2196243644599521, c2=0.020887544542368536, score=0.810499 -   1.8s
[CV] c1=0.33694932019979973, c2=0.05527937430137009 ..................
[CV]  c1=0.33694932019979973, c2=0.05527937430137009, score=0.733829 -   1.4s
[CV] c1=0.0016289348786748912, c2=0.024161486290513023 ...............
[CV]  c1=0.0016289348786748912, c2=0.024161486290513023, score=0.782214 -   1.8s
[CV] c1=0.77410488843482, c2=0.028295070864426442 ....................
[CV]  c1=0.77410488843482, c2=0.028295070864426442, score=0.831950 -   1.7s
[CV] c1=0.03946222392122633, c2=0.06555347720932964 ..................
[CV]  c1=0.03946222392122633, c2=0.06555347720932964, score=0.810739 -   1.7s
[CV] c1=0.19836886868752185, c2=0.021048088592297225 .................
[CV]  c1=0.19836886868752185, c2=0.021048088592297225, score=0.892367 -   1.8s
[CV] c1=0.04518630401171466, c2=0.035610307794542266 .................
[CV]  c1=0.04518630401171466, c2=0.035610307794542266, score=0.818706 -   1.6s
[CV] c1=0.025843386499225813, c2=0.04332723852087855 .................
[CV]  c1=0.025843386499225813, c2=0.04332723852087855, score=0.818706 -   1.7s
[CV] c1=0.040212956010912015, c2=0.1472481839903084 ..................
[CV]  c1=0.040212956010912015, c2=0.1472481839903084, score=0.821363 -   1.7s
[CV] c1=1.3180430749006797, c2=0.0407274559925451 ....................
[CV]  c1=1.3180430749006797, c2=0.0407274559925451, score=0.792670 -   1.6s
[CV] c1=0.18620762521824158, c2=0.017205285841348457 .................
[CV]  c1=0.18620762521824158, c2=0.017205285841348457, score=0.855289 -   1.6s
[CV] c1=1.8212920510360737, c2=0.009769163017276164 ..................
[CV]  c1=1.8212920510360737, c2=0.009769163017276164, score=0.576295 -   1.6s
[CV] c1=0.1573897556765044, c2=0.13640084914189118 ...................
[CV]  c1=0.1573897556765044, c2=0.13640084914189118, score=0.804667 -   1.7s
[CV] c1=0.6320176787545653, c2=0.01139997720366488 ...................
[CV]  c1=0.6320176787545653, c2=0.01139997720366488, score=0.880103 -   1.7s
[CV] c1=0.0598182632815014, c2=0.03674767315503746 ...................
[CV]  c1=0.0598182632815014, c2=0.03674767315503746, score=0.898500 -   1.7s
[CV] c1=0.011602935511530561, c2=0.14278876671691243 .................
[CV]  c1=0.011602935511530561, c2=0.14278876671691243, score=0.738893 -   1.5s
[CV] c1=0.03946222392122633, c2=0.06555347720932964 ..................
[CV]  c1=0.03946222392122633, c2=0.06555347720932964, score=0.852159 -   1.6s
[CV] c1=0.5831371302539474, c2=0.022265171482701948 ..................
[CV]  c1=0.5831371302539474, c2=0.022265171482701948, score=0.738915 -   1.6s
[CV] c1=1.5070976004167607, c2=0.01047030755339642 ...................
[CV]  c1=1.5070976004167607, c2=0.01047030755339642, score=0.768475 -   1.6s
[CV] c1=0.44640743888306644, c2=0.03159348011981111 ..................
[CV]  c1=0.44640743888306644, c2=0.03159348011981111, score=0.841555 -   1.7s
[CV] c1=0.8600965709473734, c2=0.04197500483117271 ...................
[CV]  c1=0.8600965709473734, c2=0.04197500483117271, score=0.796214 -   1.7s
[CV] c1=2.117060487225143, c2=0.04875003879661202 ....................
[CV]  c1=2.117060487225143, c2=0.04875003879661202, score=0.789158 -   1.7s
[CV] c1=0.4953786961077581, c2=0.05166642052117653 ...................
[CV]  c1=0.4953786961077581, c2=0.05166642052117653, score=0.888685 -   1.8s
[CV] c1=0.1181910150782021, c2=0.013036980909349944 ..................
[CV]  c1=0.1181910150782021, c2=0.013036980909349944, score=0.758530 -   1.4s
[CV] c1=0.44919579538828125, c2=0.030114801858799386 .................
[CV]  c1=0.44919579538828125, c2=0.030114801858799386, score=0.853258 -   2.0s
[CV] c1=0.2616946359293715, c2=0.04171398664362436 ...................
[CV]  c1=0.2616946359293715, c2=0.04171398664362436, score=0.800732 -   1.7s
[CV] c1=0.32633039299767835, c2=0.01756274670300928 ..................
[CV]  c1=0.32633039299767835, c2=0.01756274670300928, score=0.847803 -   1.7s
[CV] c1=0.37237704474977584, c2=0.0924563092002168 ...................
[CV]  c1=0.37237704474977584, c2=0.0924563092002168, score=0.849252 -   1.8s
[CV] c1=0.13754021430459537, c2=0.022437767715578278 .................
[CV]  c1=0.13754021430459537, c2=0.022437767715578278, score=0.901717 -   1.8s
[CV] c1=0.09657504295471941, c2=0.012284065796436362 .................
[CV]  c1=0.09657504295471941, c2=0.012284065796436362, score=0.856458 -   1.5s
[CV] c1=0.07357044460984764, c2=0.05633968761450769 ..................
[CV]  c1=0.07357044460984764, c2=0.05633968761450769, score=0.835470 -   1.8s
[CV] c1=0.44640743888306644, c2=0.03159348011981111 ..................
[CV]  c1=0.44640743888306644, c2=0.03159348011981111, score=0.787279 -   1.8s
[CV] c1=0.37348711925205613, c2=0.02253568278860858 ..................
[CV]  c1=0.37348711925205613, c2=0.02253568278860858, score=0.724188 -   1.4s
[CV] c1=1.5115248236312793, c2=0.047543604215591354 ..................
[CV]  c1=1.5115248236312793, c2=0.047543604215591354, score=0.631237 -   1.8s
[CV] c1=0.2208624692615351, c2=0.057543263040214745 ..................
[CV]  c1=0.2208624692615351, c2=0.057543263040214745, score=0.839545 -   1.7s
[CV] c1=0.1181910150782021, c2=0.013036980909349944 ..................
[CV]  c1=0.1181910150782021, c2=0.013036980909349944, score=0.897572 -   1.7s
[CV] c1=0.14326993540359872, c2=0.016912566250641064 .................
[CV]  c1=0.14326993540359872, c2=0.016912566250641064, score=0.896513 -   1.7s
[CV] c1=0.2616946359293715, c2=0.04171398664362436 ...................
[CV]  c1=0.2616946359293715, c2=0.04171398664362436, score=0.912049 -   1.7s
[CV] c1=0.32633039299767835, c2=0.01756274670300928 ..................
[CV]  c1=0.32633039299767835, c2=0.01756274670300928, score=0.801518 -   1.8s
[CV] c1=0.06378856392456368, c2=0.029846296728975326 .................
[CV]  c1=0.06378856392456368, c2=0.029846296728975326, score=0.903704 -   1.8s
[CV] c1=1.8357273272571968, c2=0.25437366763488894 ...................
[CV]  c1=1.8357273272571968, c2=0.25437366763488894, score=0.571449 -   1.8s
[CV] c1=0.5831371302539474, c2=0.022265171482701948 ..................
[CV]  c1=0.5831371302539474, c2=0.022265171482701948, score=0.843215 -   1.8s
[CV] c1=0.4432416637739945, c2=0.10032260396712223 ...................
[CV]  c1=0.4432416637739945, c2=0.10032260396712223, score=0.730875 -   1.3s
[CV] c1=0.44640743888306644, c2=0.03159348011981111 ..................
[CV]  c1=0.44640743888306644, c2=0.03159348011981111, score=0.871926 -   1.9s
[CV] c1=0.325056554286355, c2=0.03692564428658874 ....................
[CV]  c1=0.325056554286355, c2=0.03692564428658874, score=0.732473 -   1.3s
[CV] c1=1.5115248236312793, c2=0.047543604215591354 ..................
[CV]  c1=1.5115248236312793, c2=0.047543604215591354, score=0.624227 -   1.8s
[CV] c1=0.4953786961077581, c2=0.05166642052117653 ...................
[CV]  c1=0.4953786961077581, c2=0.05166642052117653, score=0.730875 -   1.4s
[CV] c1=0.4194936985631592, c2=0.19509809936749198 ...................
[CV]  c1=0.4194936985631592, c2=0.19509809936749198, score=0.828650 -   1.7s
[CV] c1=0.44919579538828125, c2=0.030114801858799386 .................
[CV]  c1=0.44919579538828125, c2=0.030114801858799386, score=0.864154 -   2.0s
[CV] c1=0.2616946359293715, c2=0.04171398664362436 ...................
[CV]  c1=0.2616946359293715, c2=0.04171398664362436, score=0.853258 -   1.7s
[CV] c1=0.0016289348786748912, c2=0.024161486290513023 ...............
[CV]  c1=0.0016289348786748912, c2=0.024161486290513023, score=0.745935 -   1.4s
[CV] c1=0.37237704474977584, c2=0.0924563092002168 ...................
[CV]  c1=0.37237704474977584, c2=0.0924563092002168, score=0.780850 -   1.8s
[CV] c1=1.8357273272571968, c2=0.25437366763488894 ...................
[CV]  c1=1.8357273272571968, c2=0.25437366763488894, score=0.790809 -   1.9s
[CV] c1=0.7298646179085143, c2=0.007714911430879385 ..................
[CV]  c1=0.7298646179085143, c2=0.007714911430879385, score=0.722964 -   1.8s
[CV] c1=0.12710770050992276, c2=0.029788765873714637 .................
[CV]  c1=0.12710770050992276, c2=0.029788765873714637, score=0.896513 -   1.7s
[CV] c1=0.9497346066515754, c2=0.07835570159303201 ...................
[CV]  c1=0.9497346066515754, c2=0.07835570159303201, score=0.677954 -   1.7s
[CV] c1=0.684259035070215, c2=0.08846220857287168 ....................
[CV]  c1=0.684259035070215, c2=0.08846220857287168, score=0.846817 -   1.8s
[CV] c1=0.7015483301114898, c2=0.10970908182368655 ...................
[CV]  c1=0.7015483301114898, c2=0.10970908182368655, score=0.791792 -   1.6s
[CV] c1=0.8224974064938749, c2=0.012936654071659157 ..................
[CV]  c1=0.8224974064938749, c2=0.012936654071659157, score=0.790158 -   1.7s
[CV] c1=0.1266891924716811, c2=0.003344339530181132 ..................
[CV]  c1=0.1266891924716811, c2=0.003344339530181132, score=0.888803 -   1.6s
[CV] c1=0.3343526947910079, c2=0.07449067112297407 ...................
[CV]  c1=0.3343526947910079, c2=0.07449067112297407, score=0.746616 -   1.4s
[CV] c1=0.33694932019979973, c2=0.05527937430137009 ..................
[CV]  c1=0.33694932019979973, c2=0.05527937430137009, score=0.848443 -   1.7s
[CV] c1=0.0598182632815014, c2=0.03674767315503746 ...................
[CV]  c1=0.0598182632815014, c2=0.03674767315503746, score=0.742695 -   1.3s
[CV] c1=0.77410488843482, c2=0.028295070864426442 ....................
[CV]  c1=0.77410488843482, c2=0.028295070864426442, score=0.785985 -   1.6s
[CV] c1=0.13754021430459537, c2=0.022437767715578278 .................
[CV]  c1=0.13754021430459537, c2=0.022437767715578278, score=0.855995 -   1.7s
[CV] c1=0.09245604936027249, c2=0.044799576131441705 .................
[CV]  c1=0.09245604936027249, c2=0.044799576131441705, score=0.851657 -   1.7s
[CV] c1=0.6844161788386779, c2=0.0003822626348058957 .................
[CV]  c1=0.6844161788386779, c2=0.0003822626348058957, score=0.844469 -   1.7s
[CV] c1=1.8158423586602825, c2=0.024533879374718747 ..................
[CV]  c1=1.8158423586602825, c2=0.024533879374718747, score=0.819921 -   1.6s
[CV] c1=0.12912558589436532, c2=0.1389784970193525 ...................
[CV]  c1=0.12912558589436532, c2=0.1389784970193525, score=0.823928 -   1.7s
[CV] c1=0.6530536219567772, c2=0.0347538704539257 ....................
[CV]  c1=0.6530536219567772, c2=0.0347538704539257, score=0.734138 -   1.3s
[CV] c1=0.18620762521824158, c2=0.017205285841348457 .................
[CV]  c1=0.18620762521824158, c2=0.017205285841348457, score=0.892367 -   1.6s
[CV] c1=0.13734568667303979, c2=0.02189921377855661 ..................
[CV]  c1=0.13734568667303979, c2=0.02189921377855661, score=0.875059 -   1.7s
[CV] c1=0.1573897556765044, c2=0.13640084914189118 ...................
[CV]  c1=0.1573897556765044, c2=0.13640084914189118, score=0.848045 -   1.6s
[CV] c1=0.022638950003965846, c2=0.07170495716742796 .................
[CV]  c1=0.022638950003965846, c2=0.07170495716742796, score=0.834435 -   1.7s
[CV] c1=0.25465461129137207, c2=0.05132380653503951 ..................
[CV]  c1=0.25465461129137207, c2=0.05132380653503951, score=0.810739 -   1.6s
[CV] c1=1.1484684092179165, c2=0.0020473841992481225 .................
[CV]  c1=1.1484684092179165, c2=0.0020473841992481225, score=0.633341 -   1.7s
[CV] c1=0.03946222392122633, c2=0.06555347720932964 ..................
[CV]  c1=0.03946222392122633, c2=0.06555347720932964, score=0.840502 -   1.7s
[CV] c1=0.19836886868752185, c2=0.021048088592297225 .................
[CV]  c1=0.19836886868752185, c2=0.021048088592297225, score=0.807908 -   1.8s
[CV] c1=0.04518630401171466, c2=0.035610307794542266 .................
[CV]  c1=0.04518630401171466, c2=0.035610307794542266, score=0.891838 -   1.7s
[CV] c1=0.025843386499225813, c2=0.04332723852087855 .................
[CV]  c1=0.025843386499225813, c2=0.04332723852087855, score=0.742099 -   1.4s
[CV] c1=0.37348711925205613, c2=0.02253568278860858 ..................
[CV]  c1=0.37348711925205613, c2=0.02253568278860858, score=0.839859 -   1.8s
[CV] c1=0.235120296463999, c2=0.05614650529986234 ....................
[CV]  c1=0.235120296463999, c2=0.05614650529986234, score=0.877585 -   1.9s
[CV] c1=0.18620762521824158, c2=0.017205285841348457 .................
[CV]  c1=0.18620762521824158, c2=0.017205285841348457, score=0.810499 -   1.7s
[CV] c1=1.8212920510360737, c2=0.009769163017276164 ..................
[CV]  c1=1.8212920510360737, c2=0.009769163017276164, score=0.614961 -   1.8s
[CV] c1=0.3343526947910079, c2=0.07449067112297407 ...................
[CV]  c1=0.3343526947910079, c2=0.07449067112297407, score=0.787496 -   1.8s
[CV] c1=0.25286513157843704, c2=0.13659542521483345 ..................
[CV]  c1=0.25286513157843704, c2=0.13659542521483345, score=0.730224 -   1.4s
[CV] c1=0.0598182632815014, c2=0.03674767315503746 ...................
[CV]  c1=0.0598182632815014, c2=0.03674767315503746, score=0.821138 -   1.7s
[CV] c1=0.25634388401094027, c2=0.014534346759538665 .................
[CV]  c1=0.25634388401094027, c2=0.014534346759538665, score=0.728920 -   1.4s
[CV] c1=0.25833668946182947, c2=0.0010406505408960954 ................
[CV]  c1=0.25833668946182947, c2=0.0010406505408960954, score=0.887924 -   1.7s
[CV] c1=0.11121749437261914, c2=0.005842399282427396 .................
[CV]  c1=0.11121749437261914, c2=0.005842399282427396, score=0.885703 -   1.7s
[CV] c1=0.08791161163587914, c2=0.06965238792479574 ..................
[CV]  c1=0.08791161163587914, c2=0.06965238792479574, score=0.728353 -   1.4s
[CV] c1=0.9497346066515754, c2=0.07835570159303201 ...................
[CV]  c1=0.9497346066515754, c2=0.07835570159303201, score=0.790048 -   1.7s
[CV] c1=0.12912558589436532, c2=0.1389784970193525 ...................
[CV]  c1=0.12912558589436532, c2=0.1389784970193525, score=0.804667 -   1.7s
[CV] c1=0.6530536219567772, c2=0.0347538704539257 ....................
[CV]  c1=0.6530536219567772, c2=0.0347538704539257, score=0.728141 -   1.8s
[CV] c1=1.1601388515636486, c2=0.07290362603889004 ...................
[CV]  c1=1.1601388515636486, c2=0.07290362603889004, score=0.633341 -   1.8s
[CV] c1=0.5116012911807387, c2=0.07363736825898123 ...................
[CV]  c1=0.5116012911807387, c2=0.07363736825898123, score=0.858103 -   1.8s
[CV] c1=0.6765003931932841, c2=0.04860104123021743 ...................
[CV]  c1=0.6765003931932841, c2=0.04860104123021743, score=0.732837 -   1.3s
[CV] c1=0.25286513157843704, c2=0.13659542521483345 ..................
[CV]  c1=0.25286513157843704, c2=0.13659542521483345, score=0.897598 -   1.7s
[CV] c1=0.3734750204587827, c2=0.09871829466477981 ...................
[CV]  c1=0.3734750204587827, c2=0.09871829466477981, score=0.744789 -   1.4s
[CV] c1=0.25634388401094027, c2=0.014534346759538665 .................
[CV]  c1=0.25634388401094027, c2=0.014534346759538665, score=0.901717 -   1.7s
[CV] c1=0.031280379577583894, c2=0.05634070099630187 .................
[CV]  c1=0.031280379577583894, c2=0.05634070099630187, score=0.747683 -   1.3s
[CV] c1=0.2813650877323856, c2=0.0061678864384039495 .................
[CV]  c1=0.2813650877323856, c2=0.0061678864384039495, score=0.895808 -   1.8s
[CV] c1=0.6844161788386779, c2=0.0003822626348058957 .................
[CV]  c1=0.6844161788386779, c2=0.0003822626348058957, score=0.887175 -   1.7s
[CV] c1=0.10822832806412666, c2=0.04693474442948867 ..................
[CV]  c1=0.10822832806412666, c2=0.04693474442948867, score=0.810739 -   1.7s
[CV] c1=0.06470476905895636, c2=0.011753315271671448 .................
[CV]  c1=0.06470476905895636, c2=0.011753315271671448, score=0.888293 -   1.7s
[CV] c1=0.7015483301114898, c2=0.10970908182368655 ...................
[CV]  c1=0.7015483301114898, c2=0.10970908182368655, score=0.849166 -   1.7s
[CV] c1=0.4912311255414324, c2=0.0550229702604188 ....................
[CV]  c1=0.4912311255414324, c2=0.0550229702604188, score=0.735451 -   1.4s
[CV] c1=0.07151214578266712, c2=0.07184023569475241 ..................
[CV]  c1=0.07151214578266712, c2=0.07184023569475241, score=0.904091 -   1.7s
[CV] c1=0.5252155955498226, c2=0.007660389039980961 ..................
[CV]  c1=0.5252155955498226, c2=0.007660389039980961, score=0.758565 -   1.7s
[CV] c1=0.3938705746867787, c2=0.12784077973254596 ...................
[CV]  c1=0.3938705746867787, c2=0.12784077973254596, score=0.888790 -   1.7s
[CV] c1=0.0598182632815014, c2=0.03674767315503746 ...................
[CV]  c1=0.0598182632815014, c2=0.03674767315503746, score=0.857120 -   1.6s
[CV] c1=0.011602935511530561, c2=0.14278876671691243 .................
[CV]  c1=0.011602935511530561, c2=0.14278876671691243, score=0.854407 -   1.6s
[CV] c1=0.25833668946182947, c2=0.0010406505408960954 ................
[CV]  c1=0.25833668946182947, c2=0.0010406505408960954, score=0.804109 -   1.6s
[CV] c1=0.7298646179085143, c2=0.007714911430879385 ..................
[CV]  c1=0.7298646179085143, c2=0.007714911430879385, score=0.872515 -   2.0s
[CV] c1=0.6844161788386779, c2=0.0003822626348058957 .................
[CV]  c1=0.6844161788386779, c2=0.0003822626348058957, score=0.816092 -   1.6s
[CV] c1=0.10822832806412666, c2=0.04693474442948867 ..................
[CV]  c1=0.10822832806412666, c2=0.04693474442948867, score=0.850208 -   1.6s
[CV] c1=0.12912558589436532, c2=0.1389784970193525 ...................
[CV]  c1=0.12912558589436532, c2=0.1389784970193525, score=0.857120 -   1.6s
[CV] c1=0.7015483301114898, c2=0.10970908182368655 ...................
[CV]  c1=0.7015483301114898, c2=0.10970908182368655, score=0.716593 -   1.7s
[CV] c1=0.8224974064938749, c2=0.012936654071659157 ..................
[CV]  c1=0.8224974064938749, c2=0.012936654071659157, score=0.703537 -   1.7s
[CV] c1=0.07151214578266712, c2=0.07184023569475241 ..................
[CV]  c1=0.07151214578266712, c2=0.07184023569475241, score=0.872569 -   1.7s
[CV] c1=0.3343526947910079, c2=0.07449067112297407 ...................
[CV]  c1=0.3343526947910079, c2=0.07449067112297407, score=0.853034 -   1.6s
[CV] c1=0.3938705746867787, c2=0.12784077973254596 ...................
[CV]  c1=0.3938705746867787, c2=0.12784077973254596, score=0.780850 -   1.8s
[CV] c1=0.23120159388525857, c2=0.026459191030548026 .................
[CV]  c1=0.23120159388525857, c2=0.026459191030548026, score=0.845517 -   1.7s
[CV] c1=0.25634388401094027, c2=0.014534346759538665 .................
[CV]  c1=0.25634388401094027, c2=0.014534346759538665, score=0.839408 -   1.7s
[CV] c1=0.14452524840068542, c2=0.0009025434746037582 ................
[CV]  c1=0.14452524840068542, c2=0.0009025434746037582, score=0.890569 -   1.4s
[CV] c1=0.09657504295471941, c2=0.012284065796436362 .................
[CV]  c1=0.09657504295471941, c2=0.012284065796436362, score=0.751796 -   0.8s
[CV] c1=0.07357044460984764, c2=0.05633968761450769 ..................
[CV]  c1=0.07357044460984764, c2=0.05633968761450769, score=0.902104 -   1.7s
[CV] c1=0.014195850807274557, c2=0.054460846248597164 ................
[CV]  c1=0.014195850807274557, c2=0.054460846248597164, score=0.895301 -   1.7s
[CV] c1=0.40333772575719096, c2=0.13752834129191902 ..................
[CV]  c1=0.40333772575719096, c2=0.13752834129191902, score=0.888790 -   1.7s
[CV] c1=0.10741935489155491, c2=0.008454769570178126 .................
[CV]  c1=0.10741935489155491, c2=0.008454769570178126, score=0.897572 -   1.7s
[CV] c1=0.421473022897055, c2=0.014318706705904731 ...................
[CV]  c1=0.421473022897055, c2=0.014318706705904731, score=0.843084 -   1.7s
[CV] c1=1.1601388515636486, c2=0.07290362603889004 ...................
[CV]  c1=1.1601388515636486, c2=0.07290362603889004, score=0.756247 -   1.7s
[CV] c1=0.5116012911807387, c2=0.07363736825898123 ...................
[CV]  c1=0.5116012911807387, c2=0.07363736825898123, score=0.742453 -   1.7s
[CV] c1=1.512199677360029, c2=0.02526002345928112 ....................
[CV]  c1=1.512199677360029, c2=0.02526002345928112, score=0.623645 -   1.8s
[CV] c1=0.06353792974088275, c2=0.003714106299429509 .................
[CV]  c1=0.06353792974088275, c2=0.003714106299429509, score=0.890569 -   1.7s
[CV] c1=0.3734750204587827, c2=0.09871829466477981 ...................
[CV]  c1=0.3734750204587827, c2=0.09871829466477981, score=0.834656 -   1.7s
[CV] c1=0.22898586966734027, c2=0.05788827387904721 ..................
[CV]  c1=0.22898586966734027, c2=0.05788827387904721, score=0.912436 -   1.7s
[CV] c1=1.0868159629732888, c2=0.079665940163208 .....................
[CV]  c1=1.0868159629732888, c2=0.079665940163208, score=0.641173 -   1.2s
[CV] c1=1.1942313762159011, c2=0.022512769422912686 ..................
[CV]  c1=1.1942313762159011, c2=0.022512769422912686, score=0.700144 -   1.8s
[CV] c1=0.4432416637739945, c2=0.10032260396712223 ...................
[CV]  c1=0.4432416637739945, c2=0.10032260396712223, score=0.755249 -   1.7s
[CV] c1=0.025843386499225813, c2=0.04332723852087855 .................
[CV]  c1=0.025843386499225813, c2=0.04332723852087855, score=0.900505 -   1.6s
[CV] c1=0.325056554286355, c2=0.03692564428658874 ....................
[CV]  c1=0.325056554286355, c2=0.03692564428658874, score=0.871475 -   1.8s
[CV] c1=1.4314926556073426, c2=0.015805566284174517 ..................
[CV]  c1=1.4314926556073426, c2=0.015805566284174517, score=0.631237 -   1.7s
[CV] c1=0.41030275850266484, c2=0.034978667392403504 .................
[CV]  c1=0.41030275850266484, c2=0.034978667392403504, score=0.792479 -   1.8s
[CV] c1=1.8212920510360737, c2=0.009769163017276164 ..................
[CV]  c1=1.8212920510360737, c2=0.009769163017276164, score=0.810874 -   1.6s
[CV] c1=0.1573897556765044, c2=0.13640084914189118 ...................
[CV]  c1=0.1573897556765044, c2=0.13640084914189118, score=0.908012 -   1.7s
[CV] c1=0.33694932019979973, c2=0.05527937430137009 ..................
[CV]  c1=0.33694932019979973, c2=0.05527937430137009, score=0.798142 -   2.0s
[CV] c1=0.23120159388525857, c2=0.026459191030548026 .................
[CV]  c1=0.23120159388525857, c2=0.026459191030548026, score=0.912049 -   1.6s
[CV] c1=0.011602935511530561, c2=0.14278876671691243 .................
[CV]  c1=0.011602935511530561, c2=0.14278876671691243, score=0.782214 -   1.6s
[CV] c1=0.25833668946182947, c2=0.0010406505408960954 ................
[CV]  c1=0.25833668946182947, c2=0.0010406505408960954, score=0.841167 -   1.6s
[CV] c1=1.1942313762159011, c2=0.022512769422912686 ..................
[CV]  c1=1.1942313762159011, c2=0.022512769422912686, score=0.860805 -   1.6s
[CV] c1=0.9578249040410199, c2=0.047259792490022795 ..................
[CV]  c1=0.9578249040410199, c2=0.047259792490022795, score=0.690356 -   1.7s
[CV] c1=0.37478569206796014, c2=0.04356590375014659 ..................
[CV]  c1=0.37478569206796014, c2=0.04356590375014659, score=0.730875 -   1.4s
[CV] c1=0.8600965709473734, c2=0.04197500483117271 ...................
[CV]  c1=0.8600965709473734, c2=0.04197500483117271, score=0.831950 -   1.9s
[CV] c1=2.117060487225143, c2=0.04875003879661202 ....................
[CV]  c1=2.117060487225143, c2=0.04875003879661202, score=0.561541 -   1.3s
[CV] c1=0.2208624692615351, c2=0.057543263040214745 ..................
[CV]  c1=0.2208624692615351, c2=0.057543263040214745, score=0.853034 -   1.8s
[CV] c1=0.4194936985631592, c2=0.19509809936749198 ...................
[CV]  c1=0.4194936985631592, c2=0.19509809936749198, score=0.807686 -   1.8s
[CV] c1=0.14326993540359872, c2=0.016912566250641064 .................
[CV]  c1=0.14326993540359872, c2=0.016912566250641064, score=0.826933 -   1.8s
[CV] c1=1.8282115061981525, c2=0.03271904856904041 ...................
[CV]  c1=1.8282115061981525, c2=0.03271904856904041, score=0.591449 -   1.4s
[CV] c1=0.32633039299767835, c2=0.01756274670300928 ..................
[CV]  c1=0.32633039299767835, c2=0.01756274670300928, score=0.732759 -   1.4s
[CV] c1=0.7585802002850027, c2=0.011801900507901414 ..................
[CV]  c1=0.7585802002850027, c2=0.011801900507901414, score=0.728461 -   1.3s
[CV] c1=0.7221703443015378, c2=0.07292065435603841 ...................
[CV]  c1=0.7221703443015378, c2=0.07292065435603841, score=0.880756 -   1.7s
[CV] c1=0.14452524840068542, c2=0.0009025434746037582 ................
[CV]  c1=0.14452524840068542, c2=0.0009025434746037582, score=0.747564 -   1.3s
[CV] c1=1.1942313762159011, c2=0.022512769422912686 ..................
[CV]  c1=1.1942313762159011, c2=0.022512769422912686, score=0.779454 -   1.3s
[CV] c1=1.5070976004167607, c2=0.01047030755339642 ...................
[CV]  c1=1.5070976004167607, c2=0.01047030755339642, score=0.631237 -   1.7s
[CV] c1=0.13037145059594754, c2=0.01579009936542959 ..................
[CV]  c1=0.13037145059594754, c2=0.01579009936542959, score=0.897572 -   1.7s
[CV] c1=0.37348711925205613, c2=0.02253568278860858 ..................
[CV]  c1=0.37348711925205613, c2=0.02253568278860858, score=0.894482 -   1.9s
[CV] c1=2.117060487225143, c2=0.04875003879661202 ....................
[CV]  c1=2.117060487225143, c2=0.04875003879661202, score=0.567766 -   1.7s
[CV] c1=0.2859071482781822, c2=0.11678883457801524 ...................
[CV]  c1=0.2859071482781822, c2=0.11678883457801524, score=0.837975 -   1.7s
[CV] c1=0.5597804715122091, c2=0.006936846734996552 ..................
[CV]  c1=0.5597804715122091, c2=0.006936846734996552, score=0.861348 -   1.8s
[CV] c1=0.2196243644599521, c2=0.020887544542368536 ..................
[CV]  c1=0.2196243644599521, c2=0.020887544542368536, score=0.847803 -   1.6s
[CV] c1=0.022638950003965846, c2=0.07170495716742796 .................
[CV]  c1=0.022638950003965846, c2=0.07170495716742796, score=0.854407 -   1.7s
[CV] c1=1.282716565896658, c2=0.07230340383635496 ....................
[CV]  c1=1.282716565896658, c2=0.07230340383635496, score=0.661878 -   1.9s
[CV] c1=1.1484684092179165, c2=0.0020473841992481225 .................
[CV]  c1=1.1484684092179165, c2=0.0020473841992481225, score=0.725263 -   1.9s
[CV] c1=0.031280379577583894, c2=0.05634070099630187 .................
[CV]  c1=0.031280379577583894, c2=0.05634070099630187, score=0.900505 -   1.6s
[CV] c1=0.09245604936027249, c2=0.044799576131441705 .................
[CV]  c1=0.09245604936027249, c2=0.044799576131441705, score=0.850208 -   1.6s
[CV] c1=0.12710770050992276, c2=0.029788765873714637 .................
[CV]  c1=0.12710770050992276, c2=0.029788765873714637, score=0.850208 -   1.6s
[CV] c1=0.9497346066515754, c2=0.07835570159303201 ...................
[CV]  c1=0.9497346066515754, c2=0.07835570159303201, score=0.641713 -   1.4s
[CV] c1=0.040212956010912015, c2=0.1472481839903084 ..................
[CV]  c1=0.040212956010912015, c2=0.1472481839903084, score=0.738914 -   1.4s
[CV] c1=2.117060487225143, c2=0.04875003879661202 ....................
[CV]  c1=2.117060487225143, c2=0.04875003879661202, score=0.614483 -   1.8s
[CV] c1=0.2859071482781822, c2=0.11678883457801524 ...................
[CV]  c1=0.2859071482781822, c2=0.11678883457801524, score=0.741372 -   1.4s
[CV] c1=0.1181910150782021, c2=0.013036980909349944 ..................
[CV]  c1=0.1181910150782021, c2=0.013036980909349944, score=0.821063 -   1.7s
[CV] c1=0.14326993540359872, c2=0.016912566250641064 .................
[CV]  c1=0.14326993540359872, c2=0.016912566250641064, score=0.858364 -   1.6s
[CV] c1=0.2616946359293715, c2=0.04171398664362436 ...................
[CV]  c1=0.2616946359293715, c2=0.04171398664362436, score=0.752946 -   1.3s
[CV] c1=0.06353792974088275, c2=0.003714106299429509 .................
[CV]  c1=0.06353792974088275, c2=0.003714106299429509, score=0.762527 -   1.4s
[CV] c1=0.3734750204587827, c2=0.09871829466477981 ...................
[CV]  c1=0.3734750204587827, c2=0.09871829466477981, score=0.895715 -   1.7s
[CV] c1=0.7221703443015378, c2=0.07292065435603841 ...................
[CV]  c1=0.7221703443015378, c2=0.07292065435603841, score=0.687677 -   1.4s
[CV] c1=0.25833668946182947, c2=0.0010406505408960954 ................
[CV]  c1=0.25833668946182947, c2=0.0010406505408960954, score=0.871475 -   1.7s
[CV] c1=0.09245604936027249, c2=0.044799576131441705 .................
[CV]  c1=0.09245604936027249, c2=0.044799576131441705, score=0.896513 -   1.7s
[CV] c1=0.6844161788386779, c2=0.0003822626348058957 .................
[CV]  c1=0.6844161788386779, c2=0.0003822626348058957, score=0.727309 -   1.8s
[CV] c1=1.8158423586602825, c2=0.024533879374718747 ..................
[CV]  c1=1.8158423586602825, c2=0.024533879374718747, score=0.580339 -   1.4s
[CV] c1=0.12912558589436532, c2=0.1389784970193525 ...................
[CV]  c1=0.12912558589436532, c2=0.1389784970193525, score=0.902104 -   1.6s
[CV] c1=0.7015483301114898, c2=0.10970908182368655 ...................
[CV]  c1=0.7015483301114898, c2=0.10970908182368655, score=0.872574 -   1.7s
[CV] c1=0.8224974064938749, c2=0.012936654071659157 ..................
[CV]  c1=0.8224974064938749, c2=0.012936654071659157, score=0.728587 -   1.3s
[CV] c1=0.13734568667303979, c2=0.02189921377855661 ..................
[CV]  c1=0.13734568667303979, c2=0.02189921377855661, score=0.741332 -   1.4s
[CV] c1=0.28828948951391586, c2=0.012180787258773662 .................
[CV]  c1=0.28828948951391586, c2=0.012180787258773662, score=0.712943 -   1.3s
[CV] c1=0.6765003931932841, c2=0.04860104123021743 ...................
[CV]  c1=0.6765003931932841, c2=0.04860104123021743, score=0.831950 -   1.7s
[CV] c1=0.32633039299767835, c2=0.01756274670300928 ..................
[CV]  c1=0.32633039299767835, c2=0.01756274670300928, score=0.907904 -   1.7s
[CV] c1=0.37237704474977584, c2=0.0924563092002168 ...................
[CV]  c1=0.37237704474977584, c2=0.0924563092002168, score=0.893603 -   1.8s
[CV] c1=0.002876914445046509, c2=0.03750187263371581 .................
[CV]  c1=0.002876914445046509, c2=0.03750187263371581, score=0.818706 -   1.6s
[CV] c1=1.2625320216593634, c2=0.022886780108386837 ..................
[CV]  c1=1.2625320216593634, c2=0.022886780108386837, score=0.641800 -   1.0s
[CV] c1=0.09245604936027249, c2=0.044799576131441705 .................
[CV]  c1=0.09245604936027249, c2=0.044799576131441705, score=0.765231 -   1.4s
[CV] c1=0.04518630401171466, c2=0.035610307794542266 .................
[CV]  c1=0.04518630401171466, c2=0.035610307794542266, score=0.742716 -   1.3s
[CV] c1=0.13037145059594754, c2=0.01579009936542959 ..................
[CV]  c1=0.13037145059594754, c2=0.01579009936542959, score=0.852998 -   1.7s
[CV] c1=0.325056554286355, c2=0.03692564428658874 ....................
[CV]  c1=0.325056554286355, c2=0.03692564428658874, score=0.889574 -   1.7s
[CV] c1=0.235120296463999, c2=0.05614650529986234 ....................
[CV]  c1=0.235120296463999, c2=0.05614650529986234, score=0.901717 -   1.6s
[CV] c1=0.4953786961077581, c2=0.05166642052117653 ...................
[CV]  c1=0.4953786961077581, c2=0.05166642052117653, score=0.858103 -   1.7s
[CV] c1=0.5597804715122091, c2=0.006936846734996552 ..................
[CV]  c1=0.5597804715122091, c2=0.006936846734996552, score=0.749115 -   1.8s
[CV] c1=0.28828948951391586, c2=0.012180787258773662 .................
[CV]  c1=0.28828948951391586, c2=0.012180787258773662, score=0.843908 -   1.9s
[CV] c1=0.33694932019979973, c2=0.05527937430137009 ..................
[CV]  c1=0.33694932019979973, c2=0.05527937430137009, score=0.847247 -   1.6s
[CV] c1=0.25465461129137207, c2=0.05132380653503951 ..................
[CV]  c1=0.25465461129137207, c2=0.05132380653503951, score=0.839545 -   1.8s
[CV] c1=0.011602935511530561, c2=0.14278876671691243 .................
[CV]  c1=0.011602935511530561, c2=0.14278876671691243, score=0.818706 -   1.8s
[CV] c1=0.031280379577583894, c2=0.05634070099630187 .................
[CV]  c1=0.031280379577583894, c2=0.05634070099630187, score=0.818706 -   1.6s
[CV] c1=0.7298646179085143, c2=0.007714911430879385 ..................
[CV]  c1=0.7298646179085143, c2=0.007714911430879385, score=0.806265 -   1.6s
[CV] c1=0.04518630401171466, c2=0.035610307794542266 .................
[CV]  c1=0.04518630401171466, c2=0.035610307794542266, score=0.847495 -   1.6s
[CV] c1=0.025843386499225813, c2=0.04332723852087855 .................
[CV]  c1=0.025843386499225813, c2=0.04332723852087855, score=0.854407 -   1.6s
[CV] c1=0.040212956010912015, c2=0.1472481839903084 ..................
[CV]  c1=0.040212956010912015, c2=0.1472481839903084, score=0.852159 -   1.6s
[CV] c1=1.4314926556073426, c2=0.015805566284174517 ..................
[CV]  c1=1.4314926556073426, c2=0.015805566284174517, score=0.770511 -   1.6s
[CV] c1=0.41030275850266484, c2=0.034978667392403504 .................
[CV]  c1=0.41030275850266484, c2=0.034978667392403504, score=0.888197 -   1.7s
[CV] c1=0.13734568667303979, c2=0.02189921377855661 ..................
[CV]  c1=0.13734568667303979, c2=0.02189921377855661, score=0.813172 -   1.7s
[CV] c1=0.2196243644599521, c2=0.020887544542368536 ..................
[CV]  c1=0.2196243644599521, c2=0.020887544542368536, score=0.877585 -   1.9s
[CV] c1=0.6320176787545653, c2=0.01139997720366488 ...................
[CV]  c1=0.6320176787545653, c2=0.01139997720366488, score=0.729626 -   1.9s
[CV] c1=0.23120159388525857, c2=0.026459191030548026 .................
[CV]  c1=0.23120159388525857, c2=0.026459191030548026, score=0.853034 -   1.7s
[CV] c1=0.25634388401094027, c2=0.014534346759538665 .................
[CV]  c1=0.25634388401094027, c2=0.014534346759538665, score=0.850010 -   1.7s
[CV] c1=0.031280379577583894, c2=0.05634070099630187 .................
[CV]  c1=0.031280379577583894, c2=0.05634070099630187, score=0.859367 -   1.6s
[CV] c1=0.09657504295471941, c2=0.012284065796436362 .................
[CV]  c1=0.09657504295471941, c2=0.012284065796436362, score=0.856779 -   1.6s
[CV] c1=1.5070976004167607, c2=0.01047030755339642 ...................
[CV]  c1=1.5070976004167607, c2=0.01047030755339642, score=0.632503 -   1.3s
[CV] c1=0.014195850807274557, c2=0.054460846248597164 ................
[CV]  c1=0.014195850807274557, c2=0.054460846248597164, score=0.818706 -   1.8s
[CV] c1=0.40333772575719096, c2=0.13752834129191902 ..................
[CV]  c1=0.40333772575719096, c2=0.13752834129191902, score=0.826036 -   1.7s
[CV] c1=0.10741935489155491, c2=0.008454769570178126 .................
[CV]  c1=0.10741935489155491, c2=0.008454769570178126, score=0.862245 -   1.5s
[CV] c1=0.421473022897055, c2=0.014318706705904731 ...................
[CV]  c1=0.421473022897055, c2=0.014318706705904731, score=0.781261 -   1.9s
[CV] c1=0.4194936985631592, c2=0.19509809936749198 ...................
[CV]  c1=0.4194936985631592, c2=0.19509809936749198, score=0.875638 -   1.7s
[CV] c1=0.44919579538828125, c2=0.030114801858799386 .................
[CV]  c1=0.44919579538828125, c2=0.030114801858799386, score=0.729561 -   1.4s
[CV] c1=1.512199677360029, c2=0.02526002345928112 ....................
[CV]  c1=1.512199677360029, c2=0.02526002345928112, score=0.613189 -   1.4s
[CV] c1=0.6320176787545653, c2=0.01139997720366488 ...................
[CV]  c1=0.6320176787545653, c2=0.01139997720366488, score=0.843215 -   1.7s
[CV] c1=0.0598182632815014, c2=0.03674767315503746 ...................
[CV]  c1=0.0598182632815014, c2=0.03674767315503746, score=0.803403 -   1.8s
[CV] c1=0.25634388401094027, c2=0.014534346759538665 .................
[CV]  c1=0.25634388401094027, c2=0.014534346759538665, score=0.804416 -   1.7s
[CV] c1=0.031280379577583894, c2=0.05634070099630187 .................
[CV]  c1=0.031280379577583894, c2=0.05634070099630187, score=0.866503 -   1.6s
[CV] c1=0.5831371302539474, c2=0.022265171482701948 ..................
[CV]  c1=0.5831371302539474, c2=0.022265171482701948, score=0.820373 -   1.7s
[CV] c1=0.9578249040410199, c2=0.047259792490022795 ..................
[CV]  c1=0.9578249040410199, c2=0.047259792490022795, score=0.654056 -   1.3s
[CV] c1=0.014195850807274557, c2=0.054460846248597164 ................
[CV]  c1=0.014195850807274557, c2=0.054460846248597164, score=0.782214 -   1.7s
[CV] c1=0.8600965709473734, c2=0.04197500483117271 ...................
[CV]  c1=0.8600965709473734, c2=0.04197500483117271, score=0.703827 -   1.8s
[CV] c1=1.5115248236312793, c2=0.047543604215591354 ..................
[CV]  c1=1.5115248236312793, c2=0.047543604215591354, score=0.764992 -   1.5s
[CV] c1=0.2208624692615351, c2=0.057543263040214745 ..................
[CV]  c1=0.2208624692615351, c2=0.057543263040214745, score=0.755770 -   1.3s
[CV] c1=0.4912311255414324, c2=0.0550229702604188 ....................
[CV]  c1=0.4912311255414324, c2=0.0550229702604188, score=0.836347 -   1.6s
[CV] c1=0.1266891924716811, c2=0.003344339530181132 ..................
[CV]  c1=0.1266891924716811, c2=0.003344339530181132, score=0.821063 -   1.4s
[CV] c1=0.5252155955498226, c2=0.007660389039980961 ..................
[CV]  c1=0.5252155955498226, c2=0.007660389039980961, score=0.727109 -   1.3s
[CV] c1=0.022638950003965846, c2=0.07170495716742796 .................
[CV]  c1=0.022638950003965846, c2=0.07170495716742796, score=0.818706 -   1.8s
[CV] c1=0.25465461129137207, c2=0.05132380653503951 ..................
[CV]  c1=0.25465461129137207, c2=0.05132380653503951, score=0.764026 -   1.3s
[CV] c1=0.77410488843482, c2=0.028295070864426442 ....................
[CV]  c1=0.77410488843482, c2=0.028295070864426442, score=0.718176 -   1.2s
[CV] c1=0.002876914445046509, c2=0.03750187263371581 .................
[CV]  c1=0.002876914445046509, c2=0.03750187263371581, score=0.754876 -   1.3s
[CV] c1=0.14452524840068542, c2=0.0009025434746037582 ................
[CV]  c1=0.14452524840068542, c2=0.0009025434746037582, score=0.795953 -   1.5s
[CV] c1=0.2813650877323856, c2=0.0061678864384039495 .................
[CV]  c1=0.2813650877323856, c2=0.0061678864384039495, score=0.871475 -   1.9s
[CV] c1=0.08791161163587914, c2=0.06965238792479574 ..................
[CV]  c1=0.08791161163587914, c2=0.06965238792479574, score=0.902104 -   1.7s
[CV] c1=1.8158423586602825, c2=0.024533879374718747 ..................
[CV]  c1=1.8158423586602825, c2=0.024533879374718747, score=0.762956 -   1.7s
[CV] c1=0.06470476905895636, c2=0.011753315271671448 .................
[CV]  c1=0.06470476905895636, c2=0.011753315271671448, score=0.883342 -   1.7s
[CV] c1=0.421473022897055, c2=0.014318706705904731 ...................
[CV]  c1=0.421473022897055, c2=0.014318706705904731, score=0.732119 -   1.4s
[CV] c1=0.4912311255414324, c2=0.0550229702604188 ....................
[CV]  c1=0.4912311255414324, c2=0.0550229702604188, score=0.884368 -   1.7s
[CV] c1=0.1266891924716811, c2=0.003344339530181132 ..................
[CV]  c1=0.1266891924716811, c2=0.003344339530181132, score=0.853497 -   1.6s
[CV] c1=0.3343526947910079, c2=0.07449067112297407 ...................
[CV]  c1=0.3343526947910079, c2=0.07449067112297407, score=0.866724 -   1.9s
[CV] c1=0.25286513157843704, c2=0.13659542521483345 ..................
[CV]  c1=0.25286513157843704, c2=0.13659542521483345, score=0.783441 -   1.8s
[CV] c1=0.3734750204587827, c2=0.09871829466477981 ...................
[CV]  c1=0.3734750204587827, c2=0.09871829466477981, score=0.837234 -   1.8s
[CV] c1=0.22898586966734027, c2=0.05788827387904721 ..................
[CV]  c1=0.22898586966734027, c2=0.05788827387904721, score=0.737024 -   1.5s
[CV] c1=0.14452524840068542, c2=0.0009025434746037582 ................
[CV]  c1=0.14452524840068542, c2=0.0009025434746037582, score=0.861715 -   1.4s
[CV] c1=0.19836886868752185, c2=0.021048088592297225 .................
[CV]  c1=0.19836886868752185, c2=0.021048088592297225, score=0.847471 -   1.5s
[CV] c1=0.9578249040410199, c2=0.047259792490022795 ..................
[CV]  c1=0.9578249040410199, c2=0.047259792490022795, score=0.800388 -   1.5s
[CV] c1=0.13037145059594754, c2=0.01579009936542959 ..................
[CV]  c1=0.13037145059594754, c2=0.01579009936542959, score=0.743446 -   1.3s
[CV] c1=0.8600965709473734, c2=0.04197500483117271 ...................
[CV]  c1=0.8600965709473734, c2=0.04197500483117271, score=0.862553 -   1.7s
[CV] c1=0.10741935489155491, c2=0.008454769570178126 .................
[CV]  c1=0.10741935489155491, c2=0.008454769570178126, score=0.852998 -   1.7s
[CV] c1=0.2208624692615351, c2=0.057543263040214745 ..................
[CV]  c1=0.2208624692615351, c2=0.057543263040214745, score=0.801825 -   1.7s
[CV] c1=0.4194936985631592, c2=0.19509809936749198 ...................
[CV]  c1=0.4194936985631592, c2=0.19509809936749198, score=0.738133 -   1.7s
[CV] c1=0.44919579538828125, c2=0.030114801858799386 .................
[CV]  c1=0.44919579538828125, c2=0.030114801858799386, score=0.792479 -   1.7s
[CV] c1=0.6765003931932841, c2=0.04860104123021743 ...................
[CV]  c1=0.6765003931932841, c2=0.04860104123021743, score=0.732486 -   1.8s
[CV] c1=0.06353792974088275, c2=0.003714106299429509 .................
[CV]  c1=0.06353792974088275, c2=0.003714106299429509, score=0.875464 -   1.7s
[CV] c1=0.37237704474977584, c2=0.0924563092002168 ...................
[CV]  c1=0.37237704474977584, c2=0.0924563092002168, score=0.740439 -   1.4s
[CV] c1=0.7221703443015378, c2=0.07292065435603841 ...................
[CV]  c1=0.7221703443015378, c2=0.07292065435603841, score=0.791968 -   1.7s
[CV] c1=0.14452524840068542, c2=0.0009025434746037582 ................
[CV]  c1=0.14452524840068542, c2=0.0009025434746037582, score=0.847076 -   1.4s
[CV] c1=1.1942313762159011, c2=0.022512769422912686 ..................
[CV]  c1=1.1942313762159011, c2=0.022512769422912686, score=0.646082 -   1.2s
[CV] c1=0.07357044460984764, c2=0.05633968761450769 ..................
[CV]  c1=0.07357044460984764, c2=0.05633968761450769, score=0.850208 -   1.6s
[CV] c1=0.014195850807274557, c2=0.054460846248597164 ................
[CV]  c1=0.014195850807274557, c2=0.054460846248597164, score=0.854407 -   1.6s
[CV] c1=0.40333772575719096, c2=0.13752834129191902 ..................
[CV]  c1=0.40333772575719096, c2=0.13752834129191902, score=0.773855 -   1.8s
[CV] c1=1.5115248236312793, c2=0.047543604215591354 ..................
[CV]  c1=1.5115248236312793, c2=0.047543604215591354, score=0.840343 -   1.6s
[CV] c1=0.421473022897055, c2=0.014318706705904731 ...................
[CV]  c1=0.421473022897055, c2=0.014318706705904731, score=0.871475 -   1.8s
[CV] c1=0.4194936985631592, c2=0.19509809936749198 ...................
[CV]  c1=0.4194936985631592, c2=0.19509809936749198, score=0.724056 -   1.3s
[CV] c1=0.5116012911807387, c2=0.07363736825898123 ...................
[CV]  c1=0.5116012911807387, c2=0.07363736825898123, score=0.888685 -   1.7s
[CV] c1=1.512199677360029, c2=0.02526002345928112 ....................
[CV]  c1=1.512199677360029, c2=0.02526002345928112, score=0.841925 -   1.6s
[CV] c1=0.3938705746867787, c2=0.12784077973254596 ...................
[CV]  c1=0.3938705746867787, c2=0.12784077973254596, score=0.826036 -   1.8s
[CV] c1=0.3734750204587827, c2=0.09871829466477981 ...................
[CV]  c1=0.3734750204587827, c2=0.09871829466477981, score=0.787496 -   1.8s
[CV] c1=0.7221703443015378, c2=0.07292065435603841 ...................
[CV]  c1=0.7221703443015378, c2=0.07292065435603841, score=0.715095 -   1.7s
[CV] c1=1.0868159629732888, c2=0.079665940163208 .....................
[CV]  c1=1.0868159629732888, c2=0.079665940163208, score=0.854376 -   1.5s
[CV] c1=0.5831371302539474, c2=0.022265171482701948 ..................
[CV]  c1=0.5831371302539474, c2=0.022265171482701948, score=0.894759 -   1.7s
[CV] c1=1.5070976004167607, c2=0.01047030755339642 ...................
[CV]  c1=1.5070976004167607, c2=0.01047030755339642, score=0.623645 -   1.8s
[CV] c1=0.13037145059594754, c2=0.01579009936542959 ..................
[CV]  c1=0.13037145059594754, c2=0.01579009936542959, score=0.856458 -   1.7s
[CV] c1=0.325056554286355, c2=0.03692564428658874 ....................
[CV]  c1=0.325056554286355, c2=0.03692564428658874, score=0.789683 -   1.8s
[CV] c1=1.4314926556073426, c2=0.015805566284174517 ..................
[CV]  c1=1.4314926556073426, c2=0.015805566284174517, score=0.831923 -   1.8s
[CV] c1=0.41030275850266484, c2=0.034978667392403504 .................
[CV]  c1=0.41030275850266484, c2=0.034978667392403504, score=0.729561 -   1.5s
[CV] c1=0.5597804715122091, c2=0.006936846734996552 ..................
[CV]  c1=0.5597804715122091, c2=0.006936846734996552, score=0.724393 -   1.4s
[CV] c1=0.14326993540359872, c2=0.016912566250641064 .................
[CV]  c1=0.14326993540359872, c2=0.016912566250641064, score=0.743908 -   1.4s
[CV] c1=0.6765003931932841, c2=0.04860104123021743 ...................
[CV]  c1=0.6765003931932841, c2=0.04860104123021743, score=0.873277 -   1.7s
[CV] c1=0.25286513157843704, c2=0.13659542521483345 ..................
[CV]  c1=0.25286513157843704, c2=0.13659542521483345, score=0.821616 -   1.8s
[CV] c1=0.7585802002850027, c2=0.011801900507901414 ..................
[CV]  c1=0.7585802002850027, c2=0.011801900507901414, score=0.712127 -   1.7s
[CV] c1=0.22898586966734027, c2=0.05788827387904721 ..................
[CV]  c1=0.22898586966734027, c2=0.05788827387904721, score=0.832540 -   1.6s
[CV] c1=1.0868159629732888, c2=0.079665940163208 .....................
[CV]  c1=1.0868159629732888, c2=0.079665940163208, score=0.637720 -   1.5s
[CV] c1=0.09657504295471941, c2=0.012284065796436362 .................
[CV]  c1=0.09657504295471941, c2=0.012284065796436362, score=0.892367 -   1.5s
[CV] c1=0.07357044460984764, c2=0.05633968761450769 ..................
[CV]  c1=0.07357044460984764, c2=0.05633968761450769, score=0.818706 -   1.8s
[CV] c1=0.44640743888306644, c2=0.03159348011981111 ..................
[CV]  c1=0.44640743888306644, c2=0.03159348011981111, score=0.729561 -   1.5s
[CV] c1=0.40333772575719096, c2=0.13752834129191902 ..................
[CV]  c1=0.40333772575719096, c2=0.13752834129191902, score=0.831447 -   1.8s
[CV] c1=1.5115248236312793, c2=0.047543604215591354 ..................
[CV]  c1=1.5115248236312793, c2=0.047543604215591354, score=0.613189 -   1.3s
[CV] c1=0.421473022897055, c2=0.014318706705904731 ...................
[CV]  c1=0.421473022897055, c2=0.014318706705904731, score=0.883955 -   1.7s
[CV] c1=1.1601388515636486, c2=0.07290362603889004 ...................
[CV]  c1=1.1601388515636486, c2=0.07290362603889004, score=0.641173 -   1.3s
[CV] c1=0.07151214578266712, c2=0.07184023569475241 ..................
[CV]  c1=0.07151214578266712, c2=0.07184023569475241, score=0.852159 -   1.7s
[CV] c1=0.5252155955498226, c2=0.007660389039980961 ..................
[CV]  c1=0.5252155955498226, c2=0.007660389039980961, score=0.866550 -   1.7s
[CV] c1=0.3938705746867787, c2=0.12784077973254596 ...................
[CV]  c1=0.3938705746867787, c2=0.12784077973254596, score=0.832025 -   1.7s
[CV] c1=0.23120159388525857, c2=0.026459191030548026 .................
[CV]  c1=0.23120159388525857, c2=0.026459191030548026, score=0.807908 -   2.0s
[CV] c1=0.7221703443015378, c2=0.07292065435603841 ...................
[CV]  c1=0.7221703443015378, c2=0.07292065435603841, score=0.831950 -   1.9s
[CV] c1=1.2625320216593634, c2=0.022886780108386837 ..................
[CV]  c1=1.2625320216593634, c2=0.022886780108386837, score=0.852163 -   1.2s
[CV] c1=0.5831371302539474, c2=0.022265171482701948 ..................
[CV]  c1=0.5831371302539474, c2=0.022265171482701948, score=0.728908 -   1.3s
[CV] c1=0.07357044460984764, c2=0.05633968761450769 ..................
[CV]  c1=0.07357044460984764, c2=0.05633968761450769, score=0.750445 -   1.3s
[CV] c1=0.08791161163587914, c2=0.06965238792479574 ..................
[CV]  c1=0.08791161163587914, c2=0.06965238792479574, score=0.827103 -   1.8s
[CV] c1=0.40333772575719096, c2=0.13752834129191902 ..................
[CV]  c1=0.40333772575719096, c2=0.13752834129191902, score=0.739259 -   1.5s
[CV] c1=0.06470476905895636, c2=0.011753315271671448 .................
[CV]  c1=0.06470476905895636, c2=0.011753315271671448, score=0.771242 -   1.4s
[CV] c1=1.3180430749006797, c2=0.0407274559925451 ....................
[CV]  c1=1.3180430749006797, c2=0.0407274559925451, score=0.697721 -   1.8s
[CV] c1=0.8224974064938749, c2=0.012936654071659157 ..................
[CV]  c1=0.8224974064938749, c2=0.012936654071659157, score=0.831950 -   1.7s
[CV] c1=0.1266891924716811, c2=0.003344339530181132 ..................
[CV]  c1=0.1266891924716811, c2=0.003344339530181132, score=0.883146 -   1.8s
[CV] c1=1.512199677360029, c2=0.02526002345928112 ....................
[CV]  c1=1.512199677360029, c2=0.02526002345928112, score=0.631237 -   2.0s
[CV] c1=0.06353792974088275, c2=0.003714106299429509 .................
[CV]  c1=0.06353792974088275, c2=0.003714106299429509, score=0.860651 -   1.6s
[CV] c1=0.7585802002850027, c2=0.011801900507901414 ..................
[CV]  c1=0.7585802002850027, c2=0.011801900507901414, score=0.881471 -   1.7s
[CV] c1=0.22898586966734027, c2=0.05788827387904721 ..................
[CV]  c1=0.22898586966734027, c2=0.05788827387904721, score=0.804416 -   1.8s
[CV] c1=1.0868159629732888, c2=0.079665940163208 .....................
[CV]  c1=1.0868159629732888, c2=0.079665940163208, score=0.796286 -   1.3s
[CV] c1=1.1942313762159011, c2=0.022512769422912686 ..................
[CV]  c1=1.1942313762159011, c2=0.022512769422912686, score=0.631179 -   1.8s
[CV] c1=0.4432416637739945, c2=0.10032260396712223 ...................
[CV]  c1=0.4432416637739945, c2=0.10032260396712223, score=0.826443 -   1.6s
[CV] c1=0.37478569206796014, c2=0.04356590375014659 ..................
[CV]  c1=0.37478569206796014, c2=0.04356590375014659, score=0.786786 -   1.7s
[CV] c1=0.040212956010912015, c2=0.1472481839903084 ..................
[CV]  c1=0.040212956010912015, c2=0.1472481839903084, score=0.901530 -   1.7s
[CV] c1=1.4314926556073426, c2=0.015805566284174517 ..................
[CV]  c1=1.4314926556073426, c2=0.015805566284174517, score=0.616559 -   1.4s
[CV] c1=0.4953786961077581, c2=0.05166642052117653 ...................
[CV]  c1=0.4953786961077581, c2=0.05166642052117653, score=0.763785 -   1.7s
[CV] c1=0.5597804715122091, c2=0.006936846734996552 ..................
[CV]  c1=0.5597804715122091, c2=0.006936846734996552, score=0.885142 -   1.6s
[CV] c1=0.28828948951391586, c2=0.012180787258773662 .................
[CV]  c1=0.28828948951391586, c2=0.012180787258773662, score=0.882720 -   1.7s
[CV] c1=1.8282115061981525, c2=0.03271904856904041 ...................
[CV]  c1=1.8282115061981525, c2=0.03271904856904041, score=0.815159 -   1.7s
[CV] c1=0.32633039299767835, c2=0.01756274670300928 ..................
[CV]  c1=0.32633039299767835, c2=0.01756274670300928, score=0.871475 -   1.8s
[CV] c1=0.77410488843482, c2=0.028295070864426442 ....................
[CV]  c1=0.77410488843482, c2=0.028295070864426442, score=0.860815 -   1.7s
[CV] c1=0.13754021430459537, c2=0.022437767715578278 .................
[CV]  c1=0.13754021430459537, c2=0.022437767715578278, score=0.750728 -   1.4s
[CV] c1=0.27062786207254014, c2=0.06480075699728428 ..................
[CV]  c1=0.27062786207254014, c2=0.06480075699728428, score=0.905795 -   1.2s
[CV] c1=0.2813650877323856, c2=0.0061678864384039495 .................
[CV]  c1=0.2813650877323856, c2=0.0061678864384039495, score=0.738770 -   1.4s
[CV] c1=0.4432416637739945, c2=0.10032260396712223 ...................
[CV]  c1=0.4432416637739945, c2=0.10032260396712223, score=0.900325 -   1.6s
[CV] c1=0.37478569206796014, c2=0.04356590375014659 ..................
[CV]  c1=0.37478569206796014, c2=0.04356590375014659, score=0.901989 -   1.6s
[CV] c1=0.37348711925205613, c2=0.02253568278860858 ..................
[CV]  c1=0.37348711925205613, c2=0.02253568278860858, score=0.847803 -   1.7s
[CV] c1=2.117060487225143, c2=0.04875003879661202 ....................
[CV]  c1=2.117060487225143, c2=0.04875003879661202, score=0.710445 -   1.7s
[CV] c1=0.4953786961077581, c2=0.05166642052117653 ...................
[CV]  c1=0.4953786961077581, c2=0.05166642052117653, score=0.836616 -   1.6s
[CV] c1=0.1181910150782021, c2=0.013036980909349944 ..................
[CV]  c1=0.1181910150782021, c2=0.013036980909349944, score=0.856458 -   1.7s
[CV] c1=0.14326993540359872, c2=0.016912566250641064 .................
[CV]  c1=0.14326993540359872, c2=0.016912566250641064, score=0.875059 -   1.8s
[CV] c1=1.8282115061981525, c2=0.03271904856904041 ...................
[CV]  c1=1.8282115061981525, c2=0.03271904856904041, score=0.722892 -   1.6s
[CV] c1=0.0016289348786748912, c2=0.024161486290513023 ...............
[CV]  c1=0.0016289348786748912, c2=0.024161486290513023, score=0.845593 -   1.5s
[CV] c1=0.06378856392456368, c2=0.029846296728975326 .................
[CV]  c1=0.06378856392456368, c2=0.029846296728975326, score=0.755251 -   1.4s
[CV] c1=0.22898586966734027, c2=0.05788827387904721 ..................
[CV]  c1=0.22898586966734027, c2=0.05788827387904721, score=0.871926 -   1.8s
[CV] c1=1.2625320216593634, c2=0.022886780108386837 ..................
[CV]  c1=1.2625320216593634, c2=0.022886780108386837, score=0.794406 -   1.2s
[CV] c1=0.11121749437261914, c2=0.005842399282427396 .................
[CV]  c1=0.11121749437261914, c2=0.005842399282427396, score=0.883146 -   1.6s
[CV] c1=0.08791161163587914, c2=0.06965238792479574 ..................
[CV]  c1=0.08791161163587914, c2=0.06965238792479574, score=0.818706 -   1.7s
[CV] c1=1.8158423586602825, c2=0.024533879374718747 ..................
[CV]  c1=1.8158423586602825, c2=0.024533879374718747, score=0.621553 -   1.9s
[CV] c1=0.10741935489155491, c2=0.008454769570178126 .................
[CV]  c1=0.10741935489155491, c2=0.008454769570178126, score=0.821063 -   1.7s
[CV] c1=0.2208624692615351, c2=0.057543263040214745 ..................
[CV]  c1=0.2208624692615351, c2=0.057543263040214745, score=0.907658 -   1.7s
[CV] c1=1.1601388515636486, c2=0.07290362603889004 ...................
[CV]  c1=1.1601388515636486, c2=0.07290362603889004, score=0.670675 -   1.7s
[CV] c1=0.44919579538828125, c2=0.030114801858799386 .................
[CV]  c1=0.44919579538828125, c2=0.030114801858799386, score=0.888079 -   1.8s
[CV] c1=0.6765003931932841, c2=0.04860104123021743 ...................
[CV]  c1=0.6765003931932841, c2=0.04860104123021743, score=0.797758 -   1.6s
[CV] c1=0.06353792974088275, c2=0.003714106299429509 .................
[CV]  c1=0.06353792974088275, c2=0.003714106299429509, score=0.826933 -   1.7s
[CV] c1=0.7585802002850027, c2=0.011801900507901414 ..................
[CV]  c1=0.7585802002850027, c2=0.011801900507901414, score=0.796030 -   1.8s
[CV] c1=0.002876914445046509, c2=0.03750187263371581 .................
[CV]  c1=0.002876914445046509, c2=0.03750187263371581, score=0.882544 -   1.7s
[CV] c1=1.2625320216593634, c2=0.022886780108386837 ..................
[CV]  c1=1.2625320216593634, c2=0.022886780108386837, score=0.631237 -   1.3s
[CV] c1=0.09657504295471941, c2=0.012284065796436362 .................
[CV]  c1=0.09657504295471941, c2=0.012284065796436362, score=0.810739 -   1.5s
[CV] c1=1.5070976004167607, c2=0.01047030755339642 ...................
[CV]  c1=1.5070976004167607, c2=0.01047030755339642, score=0.842905 -   1.6s
[CV] c1=0.44640743888306644, c2=0.03159348011981111 ..................
[CV]  c1=0.44640743888306644, c2=0.03159348011981111, score=0.895780 -   1.6s
[CV] c1=0.8600965709473734, c2=0.04197500483117271 ...................
[CV]  c1=0.8600965709473734, c2=0.04197500483117271, score=0.725759 -   1.5s
[CV] c1=0.10741935489155491, c2=0.008454769570178126 .................
[CV]  c1=0.10741935489155491, c2=0.008454769570178126, score=0.742719 -   1.4s
[CV] c1=0.6530536219567772, c2=0.0347538704539257 ....................
[CV]  c1=0.6530536219567772, c2=0.0347538704539257, score=0.851886 -   1.7s
[CV] c1=1.1601388515636486, c2=0.07290362603889004 ...................
[CV]  c1=1.1601388515636486, c2=0.07290362603889004, score=0.854376 -   1.8s
[CV] c1=0.5116012911807387, c2=0.07363736825898123 ...................
[CV]  c1=0.5116012911807387, c2=0.07363736825898123, score=0.807364 -   1.7s
[CV] c1=1.512199677360029, c2=0.02526002345928112 ....................
[CV]  c1=1.512199677360029, c2=0.02526002345928112, score=0.760896 -   1.7s
[CV] c1=0.25286513157843704, c2=0.13659542521483345 ..................
[CV]  c1=0.25286513157843704, c2=0.13659542521483345, score=0.832540 -   1.9s
[CV] c1=0.7585802002850027, c2=0.011801900507901414 ..................
[CV]  c1=0.7585802002850027, c2=0.011801900507901414, score=0.836661 -   1.8s
[CV] c1=0.002876914445046509, c2=0.03750187263371581 .................
[CV]  c1=0.002876914445046509, c2=0.03750187263371581, score=0.854407 -   1.7s
[CV] c1=1.2625320216593634, c2=0.022886780108386837 ..................
[CV]  c1=1.2625320216593634, c2=0.022886780108386837, score=0.594465 -   1.2s
[CV] c1=0.11121749437261914, c2=0.005842399282427396 .................
[CV]  c1=0.11121749437261914, c2=0.005842399282427396, score=0.861787 -   1.8s
[CV] c1=0.014195850807274557, c2=0.054460846248597164 ................
[CV]  c1=0.014195850807274557, c2=0.054460846248597164, score=0.750300 -   1.3s
[CV] c1=0.10822832806412666, c2=0.04693474442948867 ..................
[CV]  c1=0.10822832806412666, c2=0.04693474442948867, score=0.871651 -   1.8s
[CV] c1=0.06470476905895636, c2=0.011753315271671448 .................
[CV]  c1=0.06470476905895636, c2=0.011753315271671448, score=0.801432 -   1.6s
[CV] c1=0.6530536219567772, c2=0.0347538704539257 ....................
[CV]  c1=0.6530536219567772, c2=0.0347538704539257, score=0.796030 -   1.7s
[CV] c1=0.4912311255414324, c2=0.0550229702604188 ....................
[CV]  c1=0.4912311255414324, c2=0.0550229702604188, score=0.861348 -   1.8s
[CV] c1=0.5116012911807387, c2=0.07363736825898123 ...................
[CV]  c1=0.5116012911807387, c2=0.07363736825898123, score=0.730875 -   1.3s
[CV] c1=0.5252155955498226, c2=0.007660389039980961 ..................
[CV]  c1=0.5252155955498226, c2=0.007660389039980961, score=0.837656 -   1.6s
[CV] c1=0.6320176787545653, c2=0.01139997720366488 ...................
[CV]  c1=0.6320176787545653, c2=0.01139997720366488, score=0.808068 -   1.8s
[CV] c1=0.23120159388525857, c2=0.026459191030548026 .................
[CV]  c1=0.23120159388525857, c2=0.026459191030548026, score=0.747055 -   1.3s
[CV] c1=1.1484684092179165, c2=0.0020473841992481225 .................
[CV]  c1=1.1484684092179165, c2=0.0020473841992481225, score=0.779454 -   1.6s
[CV] c1=0.03946222392122633, c2=0.06555347720932964 ..................
[CV]  c1=0.03946222392122633, c2=0.06555347720932964, score=0.738952 -   1.3s
[CV] c1=0.27062786207254014, c2=0.06480075699728428 ..................
[CV]  c1=0.27062786207254014, c2=0.06480075699728428, score=0.853034 -   1.1s
[CV] c1=0.7298646179085143, c2=0.007714911430879385 ..................
[CV]  c1=0.7298646179085143, c2=0.007714911430879385, score=0.725947 -   1.4s
[CV] c1=0.9578249040410199, c2=0.047259792490022795 ..................
[CV]  c1=0.9578249040410199, c2=0.047259792490022795, score=0.789173 -   1.8s
[CV] c1=0.37478569206796014, c2=0.04356590375014659 ..................
[CV]  c1=0.37478569206796014, c2=0.04356590375014659, score=0.847803 -   1.6s
[CV] c1=0.325056554286355, c2=0.03692564428658874 ....................
[CV]  c1=0.325056554286355, c2=0.03692564428658874, score=0.847803 -   1.6s
[CV] c1=0.235120296463999, c2=0.05614650529986234 ....................
[CV]  c1=0.235120296463999, c2=0.05614650529986234, score=0.763835 -   1.6s
[CV] c1=0.2859071482781822, c2=0.11678883457801524 ...................
[CV]  c1=0.2859071482781822, c2=0.11678883457801524, score=0.892782 -   1.8s
[CV] c1=0.5597804715122091, c2=0.006936846734996552 ..................
[CV]  c1=0.5597804715122091, c2=0.006936846734996552, score=0.831695 -   1.7s
[CV] c1=0.28828948951391586, c2=0.012180787258773662 .................
[CV]  c1=0.28828948951391586, c2=0.012180787258773662, score=0.844096 -   1.7s
[CV] c1=0.022638950003965846, c2=0.07170495716742796 .................
[CV]  c1=0.022638950003965846, c2=0.07170495716742796, score=0.741115 -   1.4s
[CV] c1=0.0016289348786748912, c2=0.024161486290513023 ...............
[CV]  c1=0.0016289348786748912, c2=0.024161486290513023, score=0.860072 -   1.7s
[CV] c1=0.06378856392456368, c2=0.029846296728975326 .................
[CV]  c1=0.06378856392456368, c2=0.029846296728975326, score=0.863370 -   1.6s
[CV] c1=1.8357273272571968, c2=0.25437366763488894 ...................
[CV]  c1=1.8357273272571968, c2=0.25437366763488894, score=0.552298 -   1.4s
[CV] c1=1.0868159629732888, c2=0.079665940163208 .....................
[CV]  c1=1.0868159629732888, c2=0.079665940163208, score=0.729232 -   1.4s
[CV] c1=0.7298646179085143, c2=0.007714911430879385 ..................
[CV]  c1=0.7298646179085143, c2=0.007714911430879385, score=0.831950 -   1.8s
[CV] c1=0.6844161788386779, c2=0.0003822626348058957 .................
[CV]  c1=0.6844161788386779, c2=0.0003822626348058957, score=0.717973 -   1.4s
[CV] c1=0.025843386499225813, c2=0.04332723852087855 .................
[CV]  c1=0.025843386499225813, c2=0.04332723852087855, score=0.868985 -   1.7s
[CV] c1=0.684259035070215, c2=0.08846220857287168 ....................
[CV]  c1=0.684259035070215, c2=0.08846220857287168, score=0.700083 -   1.3s
[CV] c1=0.235120296463999, c2=0.05614650529986234 ....................
[CV]  c1=0.235120296463999, c2=0.05614650529986234, score=0.804416 -   1.6s
[CV] c1=0.2859071482781822, c2=0.11678883457801524 ...................
[CV]  c1=0.2859071482781822, c2=0.11678883457801524, score=0.787496 -   1.5s
[CV] c1=0.1181910150782021, c2=0.013036980909349944 ..................
[CV]  c1=0.1181910150782021, c2=0.013036980909349944, score=0.856582 -   1.7s
[CV] c1=0.28828948951391586, c2=0.012180787258773662 .................
[CV]  c1=0.28828948951391586, c2=0.012180787258773662, score=0.801518 -   1.8s
[CV] c1=1.8282115061981525, c2=0.03271904856904041 ...................
[CV]  c1=1.8282115061981525, c2=0.03271904856904041, score=0.575082 -   1.7s
[CV] c1=1.282716565896658, c2=0.07230340383635496 ....................
[CV]  c1=1.282716565896658, c2=0.07230340383635496, score=0.831297 -   1.5s
[CV] c1=0.06378856392456368, c2=0.029846296728975326 .................
[CV]  c1=0.06378856392456368, c2=0.029846296728975326, score=0.818706 -   1.7s
[CV] c1=1.8357273272571968, c2=0.25437366763488894 ...................
[CV]  c1=1.8357273272571968, c2=0.25437366763488894, score=0.709988 -   1.6s
[CV] c1=0.27062786207254014, c2=0.06480075699728428 ..................
[CV]  c1=0.27062786207254014, c2=0.06480075699728428, score=0.798358 -   1.2s
[CV] c1=0.2813650877323856, c2=0.0061678864384039495 .................
[CV]  c1=0.2813650877323856, c2=0.0061678864384039495, score=0.858217 -   1.7s
[CV] c1=0.12710770050992276, c2=0.029788765873714637 .................
[CV]  c1=0.12710770050992276, c2=0.029788765873714637, score=0.748297 -   1.4s
[CV] c1=0.37478569206796014, c2=0.04356590375014659 ..................
[CV]  c1=0.37478569206796014, c2=0.04356590375014659, score=0.871926 -   1.8s
[CV] c1=0.040212956010912015, c2=0.1472481839903084 ..................
[CV]  c1=0.040212956010912015, c2=0.1472481839903084, score=0.815022 -   1.7s
[CV] c1=1.3180430749006797, c2=0.0407274559925451 ....................
[CV]  c1=1.3180430749006797, c2=0.0407274559925451, score=0.648612 -   1.4s
[CV] c1=0.2859071482781822, c2=0.11678883457801524 ...................
[CV]  c1=0.2859071482781822, c2=0.11678883457801524, score=0.857696 -   1.8s
[CV] c1=0.13734568667303979, c2=0.02189921377855661 ..................
[CV]  c1=0.13734568667303979, c2=0.02189921377855661, score=0.862245 -   1.6s
[CV] c1=0.2196243644599521, c2=0.020887544542368536 ..................
[CV]  c1=0.2196243644599521, c2=0.020887544542368536, score=0.753039 -   1.4s
[CV] c1=1.8282115061981525, c2=0.03271904856904041 ...................
[CV]  c1=1.8282115061981525, c2=0.03271904856904041, score=0.639889 -   1.8s
[CV] c1=1.282716565896658, c2=0.07230340383635496 ....................
[CV]  c1=1.282716565896658, c2=0.07230340383635496, score=0.640639 -   1.4s
[CV] c1=0.37237704474977584, c2=0.0924563092002168 ...................
[CV]  c1=0.37237704474977584, c2=0.0924563092002168, score=0.853034 -   1.6s
[CV] c1=0.002876914445046509, c2=0.03750187263371581 .................
[CV]  c1=0.002876914445046509, c2=0.03750187263371581, score=0.811838 -   1.7s
[CV] c1=0.27062786207254014, c2=0.06480075699728428 ..................
[CV]  c1=0.27062786207254014, c2=0.06480075699728428, score=0.751807 -   1.2s
Training done in: 23.793790s
     Saving training model...
        Saving training model done in: 0.013429s
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Prediction done in: 0.039428s