-------------------------------- 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: Run13
Exclude stop words: False
Levels: S1: FalseS2: FalseS3: TrueS4: True
Run variant: 12
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: 0.003703s
-------------------------------- 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    -2:lemma  culture
7   -2:postag      VBN
8    +2:lemma  minimal
9   +2:postag       JJ
10     -1:ner        _
11     +1:ner      MED
12     -2:ner        _
13     +2:ner      MED
--------------------------- FeaturesTest -----------------------------
            0           1
0       lemma  delta-arca
1      postag          NN
2    -1:lemma           _
3   -1:postag          NN
4    +1:lemma           _
5   +1:postag          CD
6    -2:lemma     affyexp
7   -2:postag          JJ
8    +2:lemma     glucose
9   +2:postag          NN
10     -1:ner           _
11     +1:ner           _
12     -2:ner           _
13     +2:ner        SUPP
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=0.04941740261797019, c2=0.06796011998868666 ..................
[CV]  c1=0.04941740261797019, c2=0.06796011998868666, score=0.860889 -   1.3s
[CV] c1=0.2819334669859859, c2=0.11756470773181593 ...................
[CV]  c1=0.2819334669859859, c2=0.11756470773181593, score=0.720312 -   1.1s
[CV] c1=0.4497151807360327, c2=0.10197650684344889 ...................
[CV]  c1=0.4497151807360327, c2=0.10197650684344889, score=0.778181 -   1.3s
[CV] c1=0.6432811140650437, c2=0.059525533404892306 ..................
[CV]  c1=0.6432811140650437, c2=0.059525533404892306, score=0.798452 -   1.3s
[CV] c1=0.10944662673506146, c2=0.10684129789156085 ..................
[CV]  c1=0.10944662673506146, c2=0.10684129789156085, score=0.888779 -   1.4s
[CV] c1=0.2551651021976019, c2=0.011024495783142092 ..................
[CV]  c1=0.2551651021976019, c2=0.011024495783142092, score=0.798915 -   1.4s
[CV] c1=0.27546923418102465, c2=0.05869917093112029 ..................
[CV]  c1=0.27546923418102465, c2=0.05869917093112029, score=0.860889 -   1.3s
[CV] c1=1.7947477929314173, c2=0.011322676068646112 ..................
[CV]  c1=1.7947477929314173, c2=0.011322676068646112, score=0.607827 -   1.4s
[CV] c1=0.513607556984169, c2=0.014271354684596333 ...................
[CV]  c1=0.513607556984169, c2=0.014271354684596333, score=0.798636 -   1.4s
[CV] c1=0.8201270710087539, c2=0.023597880680702274 ..................
[CV]  c1=0.8201270710087539, c2=0.023597880680702274, score=0.683585 -   1.4s
[CV] c1=1.1857642642270323, c2=0.0061390886900166974 .................
[CV]  c1=1.1857642642270323, c2=0.0061390886900166974, score=0.606682 -   1.4s
[CV] c1=0.9892716612319506, c2=0.01668865947568366 ...................
[CV]  c1=0.9892716612319506, c2=0.01668865947568366, score=0.673069 -   1.1s
[CV] c1=0.7067624628918941, c2=0.09620217340923604 ...................
[CV]  c1=0.7067624628918941, c2=0.09620217340923604, score=0.704879 -   0.9s
[CV] c1=0.0882746603226177, c2=0.04090613613852241 ...................
[CV]  c1=0.0882746603226177, c2=0.04090613613852241, score=0.829027 -   1.4s
[CV] c1=0.6762965583519639, c2=0.011562530681042833 ..................
[CV]  c1=0.6762965583519639, c2=0.011562530681042833, score=0.740612 -   1.1s
[CV] c1=0.37653615425271786, c2=0.012799140484359523 .................
[CV]  c1=0.37653615425271786, c2=0.012799140484359523, score=0.781782 -   1.1s
[CV] c1=0.07418514596242017, c2=0.021765991510398854 .................
[CV]  c1=0.07418514596242017, c2=0.021765991510398854, score=0.793246 -   1.5s
[CV] c1=0.10747688824536386, c2=0.007392638173213175 .................
[CV]  c1=0.10747688824536386, c2=0.007392638173213175, score=0.781712 -   1.4s
[CV] c1=0.04830824678822958, c2=0.049993607531156004 .................
[CV]  c1=0.04830824678822958, c2=0.049993607531156004, score=0.816957 -   1.4s
[CV] c1=0.38837540085017686, c2=0.06588121612332028 ..................
[CV]  c1=0.38837540085017686, c2=0.06588121612332028, score=0.785023 -   1.4s
[CV] c1=0.05565762048309231, c2=0.026479134000073297 .................
[CV]  c1=0.05565762048309231, c2=0.026479134000073297, score=0.888377 -   1.3s
[CV] c1=0.17449834640180706, c2=0.0345483693197767 ...................
[CV]  c1=0.17449834640180706, c2=0.0345483693197767, score=0.796160 -   1.5s
[CV] c1=0.12085102452052962, c2=0.029125817132466404 .................
[CV]  c1=0.12085102452052962, c2=0.029125817132466404, score=0.787173 -   1.8s
[CV] c1=0.24837316851210817, c2=0.01331420249613309 ..................
[CV]  c1=0.24837316851210817, c2=0.01331420249613309, score=0.882516 -   1.4s
[CV] c1=0.4139556302073661, c2=0.06149672667038236 ...................
[CV]  c1=0.4139556302073661, c2=0.06149672667038236, score=0.733643 -   1.4s
[CV] c1=0.3099375099796858, c2=0.05659642323576796 ...................
[CV]  c1=0.3099375099796858, c2=0.05659642323576796, score=0.787829 -   1.4s
[CV] c1=0.011961511617563222, c2=0.04639009045255895 .................
[CV]  c1=0.011961511617563222, c2=0.04639009045255895, score=0.731748 -   1.1s
[CV] c1=0.6432811140650437, c2=0.059525533404892306 ..................
[CV]  c1=0.6432811140650437, c2=0.059525533404892306, score=0.772805 -   1.5s
[CV] c1=1.7706771358311066, c2=0.10942958997790858 ...................
[CV]  c1=1.7706771358311066, c2=0.10942958997790858, score=0.790944 -   1.4s
[CV] c1=0.9749400316008822, c2=0.06956339053019714 ...................
[CV]  c1=0.9749400316008822, c2=0.06956339053019714, score=0.777821 -   1.3s
[CV] c1=0.251303869221234, c2=0.025659398648200604 ...................
[CV]  c1=0.251303869221234, c2=0.025659398648200604, score=0.768628 -   1.2s
[CV] c1=0.5278695223932162, c2=2.3304114846612918e-07 ................
[CV]  c1=0.5278695223932162, c2=2.3304114846612918e-07, score=0.780623 -   1.0s
[CV] c1=0.25907842646032236, c2=0.038166334028664234 .................
[CV]  c1=0.25907842646032236, c2=0.038166334028664234, score=0.779123 -   1.4s
[CV] c1=0.1480078176687965, c2=0.10084404853825724 ...................
[CV]  c1=0.1480078176687965, c2=0.10084404853825724, score=0.860518 -   1.2s
[CV] c1=0.1408687353253865, c2=0.040378637295662025 ..................
[CV]  c1=0.1408687353253865, c2=0.040378637295662025, score=0.829142 -   1.4s
[CV] c1=1.0640166983060548, c2=0.1418733581006783 ....................
[CV]  c1=1.0640166983060548, c2=0.1418733581006783, score=0.576205 -   1.6s
[CV] c1=0.7885147468705422, c2=0.14194495176727004 ...................
[CV]  c1=0.7885147468705422, c2=0.14194495176727004, score=0.848200 -   1.4s
[CV] c1=1.219492263036561, c2=0.0700100347051524 .....................
[CV]  c1=1.219492263036561, c2=0.0700100347051524, score=0.568950 -   1.5s
[CV] c1=0.7230900174491672, c2=0.10005005670126838 ...................
[CV]  c1=0.7230900174491672, c2=0.10005005670126838, score=0.783374 -   1.3s
[CV] c1=0.11487269427435585, c2=0.014656171287091553 .................
[CV]  c1=0.11487269427435585, c2=0.014656171287091553, score=0.776271 -   1.2s
[CV] c1=1.4986924417174052, c2=0.004756298880146773 ..................
[CV]  c1=1.4986924417174052, c2=0.004756298880146773, score=0.558032 -   1.5s
[CV] c1=0.10170207210967054, c2=0.0627911501584806 ...................
[CV]  c1=0.10170207210967054, c2=0.0627911501584806, score=0.860889 -   1.3s
[CV] c1=0.07380737540548911, c2=0.022439679768673504 .................
[CV]  c1=0.07380737540548911, c2=0.022439679768673504, score=0.828774 -   1.5s
[CV] c1=0.272465177891602, c2=0.014884436365158592 ...................
[CV]  c1=0.272465177891602, c2=0.014884436365158592, score=0.787173 -   1.5s
[CV] c1=0.513607556984169, c2=0.014271354684596333 ...................
[CV]  c1=0.513607556984169, c2=0.014271354684596333, score=0.891120 -   1.3s
[CV] c1=0.9189218909041281, c2=0.10084228055982936 ...................
[CV]  c1=0.9189218909041281, c2=0.10084228055982936, score=0.840005 -   1.5s
[CV] c1=0.6840910912872001, c2=0.07244515374637998 ...................
[CV]  c1=0.6840910912872001, c2=0.07244515374637998, score=0.783093 -   1.3s
[CV] c1=0.24837316851210817, c2=0.01331420249613309 ..................
[CV]  c1=0.24837316851210817, c2=0.01331420249613309, score=0.774463 -   1.4s
[CV] c1=0.21756987621237525, c2=0.0015379113274442717 ................
[CV]  c1=0.21756987621237525, c2=0.0015379113274442717, score=0.809809 -   1.4s
[CV] c1=0.023764532736278814, c2=0.005594457106840848 ................
[CV]  c1=0.023764532736278814, c2=0.005594457106840848, score=0.866355 -   1.4s
[CV] c1=0.1681136606816175, c2=0.01675704211575686 ...................
[CV]  c1=0.1681136606816175, c2=0.01675704211575686, score=0.794541 -   1.4s
[CV] c1=0.735182316218939, c2=0.04659616406815495 ....................
[CV]  c1=0.735182316218939, c2=0.04659616406815495, score=0.852145 -   1.3s
[CV] c1=0.10747688824536386, c2=0.007392638173213175 .................
[CV]  c1=0.10747688824536386, c2=0.007392638173213175, score=0.892343 -   1.4s
[CV] c1=0.04830824678822958, c2=0.049993607531156004 .................
[CV]  c1=0.04830824678822958, c2=0.049993607531156004, score=0.725169 -   1.1s
[CV] c1=0.251303869221234, c2=0.025659398648200604 ...................
[CV]  c1=0.251303869221234, c2=0.025659398648200604, score=0.784827 -   1.4s
[CV] c1=0.7400971110314165, c2=0.058515539763858905 ..................
[CV]  c1=0.7400971110314165, c2=0.058515539763858905, score=0.758388 -   1.3s
[CV] c1=0.5508718296258963, c2=0.0268905017514858 ....................
[CV]  c1=0.5508718296258963, c2=0.0268905017514858, score=0.705121 -   1.4s
[CV] c1=0.06569513750211628, c2=0.03658620894486733 ..................
[CV]  c1=0.06569513750211628, c2=0.03658620894486733, score=0.860889 -   1.3s
[CV] c1=0.2667540604491841, c2=0.03649205067658294 ...................
[CV]  c1=0.2667540604491841, c2=0.03649205067658294, score=0.767736 -   1.1s
[CV] c1=0.24837316851210817, c2=0.01331420249613309 ..................
[CV]  c1=0.24837316851210817, c2=0.01331420249613309, score=0.828090 -   1.5s
[CV] c1=0.7885147468705422, c2=0.14194495176727004 ...................
[CV]  c1=0.7885147468705422, c2=0.14194495176727004, score=0.669826 -   1.4s
[CV] c1=0.5868968245470118, c2=0.04443219812455834 ...................
[CV]  c1=0.5868968245470118, c2=0.04443219812455834, score=0.708504 -   1.4s
[CV] c1=0.4497151807360327, c2=0.10197650684344889 ...................
[CV]  c1=0.4497151807360327, c2=0.10197650684344889, score=0.865913 -   1.4s
[CV] c1=0.6432811140650437, c2=0.059525533404892306 ..................
[CV]  c1=0.6432811140650437, c2=0.059525533404892306, score=0.707100 -   1.1s
[CV] c1=0.3176380491724326, c2=0.009715909059773601 ..................
[CV]  c1=0.3176380491724326, c2=0.009715909059773601, score=0.843275 -   1.4s
[CV] c1=0.10170207210967054, c2=0.0627911501584806 ...................
[CV]  c1=0.10170207210967054, c2=0.0627911501584806, score=0.816957 -   1.5s
[CV] c1=0.20493735896994755, c2=0.06053089615257448 ..................
[CV]  c1=0.20493735896994755, c2=0.06053089615257448, score=0.787173 -   1.5s
[CV] c1=1.7947477929314173, c2=0.011322676068646112 ..................
[CV]  c1=1.7947477929314173, c2=0.011322676068646112, score=0.640441 -   1.2s
[CV] c1=0.25907842646032236, c2=0.038166334028664234 .................
[CV]  c1=0.25907842646032236, c2=0.038166334028664234, score=0.796160 -   1.5s
[CV] c1=0.8201270710087539, c2=0.023597880680702274 ..................
[CV]  c1=0.8201270710087539, c2=0.023597880680702274, score=0.688555 -   1.2s
[CV] c1=0.09011288738198293, c2=0.055801763053379284 .................
[CV]  c1=0.09011288738198293, c2=0.055801763053379284, score=0.829027 -   1.4s
[CV] c1=0.24837316851210817, c2=0.01331420249613309 ..................
[CV]  c1=0.24837316851210817, c2=0.01331420249613309, score=0.863073 -   1.4s
[CV] c1=0.21756987621237525, c2=0.0015379113274442717 ................
[CV]  c1=0.21756987621237525, c2=0.0015379113274442717, score=0.884889 -   1.5s
[CV] c1=0.1273536988524161, c2=0.0006742704440179903 .................
[CV]  c1=0.1273536988524161, c2=0.0006742704440179903, score=0.834754 -   1.5s
[CV] c1=0.37653615425271786, c2=0.012799140484359523 .................
[CV]  c1=0.37653615425271786, c2=0.012799140484359523, score=0.762222 -   1.3s
[CV] c1=0.735182316218939, c2=0.04659616406815495 ....................
[CV]  c1=0.735182316218939, c2=0.04659616406815495, score=0.798452 -   1.3s
[CV] c1=0.10747688824536386, c2=0.007392638173213175 .................
[CV]  c1=0.10747688824536386, c2=0.007392638173213175, score=0.778053 -   1.1s
[CV] c1=0.9749400316008822, c2=0.06956339053019714 ...................
[CV]  c1=0.9749400316008822, c2=0.06956339053019714, score=0.640541 -   1.3s
[CV] c1=0.251303869221234, c2=0.025659398648200604 ...................
[CV]  c1=0.251303869221234, c2=0.025659398648200604, score=0.863073 -   1.2s
[CV] c1=0.7400971110314165, c2=0.058515539763858905 ..................
[CV]  c1=0.7400971110314165, c2=0.058515539763858905, score=0.698123 -   1.1s
[CV] c1=0.8766032464254593, c2=0.031192560571571604 ..................
[CV]  c1=0.8766032464254593, c2=0.031192560571571604, score=0.870193 -   1.3s
[CV] c1=0.8201270710087539, c2=0.023597880680702274 ..................
[CV]  c1=0.8201270710087539, c2=0.023597880680702274, score=0.848701 -   1.4s
[CV] c1=1.1857642642270323, c2=0.0061390886900166974 .................
[CV]  c1=1.1857642642270323, c2=0.0061390886900166974, score=0.843574 -   1.3s
[CV] c1=0.13858209059433987, c2=0.06555327989252392 ..................
[CV]  c1=0.13858209059433987, c2=0.06555327989252392, score=0.884168 -   1.4s
[CV] c1=0.04941740261797019, c2=0.06796011998868666 ..................
[CV]  c1=0.04941740261797019, c2=0.06796011998868666, score=0.774045 -   1.4s
[CV] c1=0.2819334669859859, c2=0.11756470773181593 ...................
[CV]  c1=0.2819334669859859, c2=0.11756470773181593, score=0.843681 -   1.3s
[CV] c1=0.011961511617563222, c2=0.04639009045255895 .................
[CV]  c1=0.011961511617563222, c2=0.04639009045255895, score=0.791464 -   1.3s
[CV] c1=0.553304177613659, c2=0.1325847612486002 .....................
[CV]  c1=0.553304177613659, c2=0.1325847612486002, score=0.693017 -   1.3s
[CV] c1=1.7706771358311066, c2=0.10942958997790858 ...................
[CV]  c1=1.7706771358311066, c2=0.10942958997790858, score=0.596092 -   1.1s
[CV] c1=0.2551651021976019, c2=0.011024495783142092 ..................
[CV]  c1=0.2551651021976019, c2=0.011024495783142092, score=0.751226 -   1.0s
[CV] c1=0.07380737540548911, c2=0.022439679768673504 .................
[CV]  c1=0.07380737540548911, c2=0.022439679768673504, score=0.836066 -   1.3s
[CV] c1=0.07034269395308668, c2=0.085383414428832 ....................
[CV]  c1=0.07034269395308668, c2=0.085383414428832, score=0.737289 -   1.0s
[CV] c1=0.1453250429965574, c2=0.0266621191050822 ....................
[CV]  c1=0.1453250429965574, c2=0.0266621191050822, score=0.775586 -   1.1s
[CV] c1=0.004573262692243711, c2=0.0029269301449197614 ...............
[CV]  c1=0.004573262692243711, c2=0.0029269301449197614, score=0.888575 -   1.4s
[CV] c1=0.11029031551346394, c2=0.00490328789536746 ..................
[CV]  c1=0.11029031551346394, c2=0.00490328789536746, score=0.772380 -   1.1s
[CV] c1=0.2667540604491841, c2=0.03649205067658294 ...................
[CV]  c1=0.2667540604491841, c2=0.03649205067658294, score=0.863073 -   1.3s
[CV] c1=0.9892716612319506, c2=0.01668865947568366 ...................
[CV]  c1=0.9892716612319506, c2=0.01668865947568366, score=0.667866 -   1.3s
[CV] c1=0.9501774731810498, c2=0.11082387943135318 ...................
[CV]  c1=0.9501774731810498, c2=0.11082387943135318, score=0.639509 -   1.2s
[CV] c1=0.003676589213693777, c2=0.026457998048630218 ................
[CV]  c1=0.003676589213693777, c2=0.026457998048630218, score=0.775364 -   1.4s
[CV] c1=0.6762965583519639, c2=0.011562530681042833 ..................
[CV]  c1=0.6762965583519639, c2=0.011562530681042833, score=0.769546 -   1.5s
[CV] c1=0.6629429756902228, c2=0.012482684664962222 ..................
[CV]  c1=0.6629429756902228, c2=0.012482684664962222, score=0.699253 -   1.5s
[CV] c1=1.0903476854459886, c2=0.014675067474119187 ..................
[CV]  c1=1.0903476854459886, c2=0.014675067474119187, score=0.852650 -   1.4s
[CV] c1=0.06590411098131675, c2=0.15146484228054732 ..................
[CV]  c1=0.06590411098131675, c2=0.15146484228054732, score=0.859592 -   1.4s
[CV] c1=0.27546923418102465, c2=0.05869917093112029 ..................
[CV]  c1=0.27546923418102465, c2=0.05869917093112029, score=0.892637 -   1.5s
[CV] c1=1.7947477929314173, c2=0.011322676068646112 ..................
[CV]  c1=1.7947477929314173, c2=0.011322676068646112, score=0.679965 -   1.4s
[CV] c1=0.8766032464254593, c2=0.031192560571571604 ..................
[CV]  c1=0.8766032464254593, c2=0.031192560571571604, score=0.687143 -   1.2s
[CV] c1=0.9189218909041281, c2=0.10084228055982936 ...................
[CV]  c1=0.9189218909041281, c2=0.10084228055982936, score=0.673613 -   1.5s
[CV] c1=1.1857642642270323, c2=0.0061390886900166974 .................
[CV]  c1=1.1857642642270323, c2=0.0061390886900166974, score=0.620114 -   1.4s
[CV] c1=0.9892716612319506, c2=0.01668865947568366 ...................
[CV]  c1=0.9892716612319506, c2=0.01668865947568366, score=0.847236 -   1.3s
[CV] c1=0.20995865093318608, c2=0.12605700711562337 ..................
[CV]  c1=0.20995865093318608, c2=0.12605700711562337, score=0.886916 -   1.4s
[CV] c1=1.219492263036561, c2=0.0700100347051524 .....................
[CV]  c1=1.219492263036561, c2=0.0700100347051524, score=0.639273 -   1.1s
[CV] c1=0.6762965583519639, c2=0.011562530681042833 ..................
[CV]  c1=0.6762965583519639, c2=0.011562530681042833, score=0.766929 -   1.4s
[CV] c1=0.3268454788647498, c2=0.09181292546500236 ...................
[CV]  c1=0.3268454788647498, c2=0.09181292546500236, score=0.837961 -   1.4s
[CV] c1=0.3176380491724326, c2=0.009715909059773601 ..................
[CV]  c1=0.3176380491724326, c2=0.009715909059773601, score=0.892682 -   1.4s
[CV] c1=0.10170207210967054, c2=0.0627911501584806 ...................
[CV]  c1=0.10170207210967054, c2=0.0627911501584806, score=0.738692 -   1.2s
[CV] c1=0.09257661760810168, c2=0.09064661748976309 ..................
[CV]  c1=0.09257661760810168, c2=0.09064661748976309, score=0.777133 -   1.5s
[CV] c1=0.07034269395308668, c2=0.085383414428832 ....................
[CV]  c1=0.07034269395308668, c2=0.085383414428832, score=0.762899 -   1.4s
[CV] c1=0.9670809753636666, c2=0.02723143213456572 ...................
[CV]  c1=0.9670809753636666, c2=0.02723143213456572, score=0.729322 -   1.4s
[CV] c1=0.31787914909557496, c2=0.004035502276612104 .................
[CV]  c1=0.31787914909557496, c2=0.004035502276612104, score=0.795483 -   1.5s
[CV] c1=0.09011288738198293, c2=0.055801763053379284 .................
[CV]  c1=0.09011288738198293, c2=0.055801763053379284, score=0.785519 -   1.4s
[CV] c1=1.1156406588404142, c2=0.01817615626891828 ...................
[CV]  c1=1.1156406588404142, c2=0.01817615626891828, score=0.635881 -   1.6s
[CV] c1=1.3271772042401357, c2=0.04095149222651653 ...................
[CV]  c1=1.3271772042401357, c2=0.04095149222651653, score=0.616427 -   1.3s
[CV] c1=0.05373692204258172, c2=0.0018638833670450783 ................
[CV]  c1=0.05373692204258172, c2=0.0018638833670450783, score=0.834393 -   1.3s
[CV] c1=0.4497151807360327, c2=0.10197650684344889 ...................
[CV]  c1=0.4497151807360327, c2=0.10197650684344889, score=0.697003 -   1.4s
[CV] c1=0.17118720512478733, c2=0.12436480650534616 ..................
[CV]  c1=0.17118720512478733, c2=0.12436480650534616, score=0.890249 -   1.4s
[CV] c1=0.21791241359440286, c2=0.07657852573052762 ..................
[CV]  c1=0.21791241359440286, c2=0.07657852573052762, score=0.779123 -   1.4s
[CV] c1=0.9749400316008822, c2=0.06956339053019714 ...................
[CV]  c1=0.9749400316008822, c2=0.06956339053019714, score=0.839446 -   1.4s
[CV] c1=0.251303869221234, c2=0.025659398648200604 ...................
[CV]  c1=0.251303869221234, c2=0.025659398648200604, score=0.786211 -   1.5s
[CV] c1=0.36971231616284855, c2=0.002212142565168637 .................
[CV]  c1=0.36971231616284855, c2=0.002212142565168637, score=0.782975 -   1.1s
[CV] c1=0.5508718296258963, c2=0.0268905017514858 ....................
[CV]  c1=0.5508718296258963, c2=0.0268905017514858, score=0.708846 -   1.2s
[CV] c1=0.9189218909041281, c2=0.10084228055982936 ...................
[CV]  c1=0.9189218909041281, c2=0.10084228055982936, score=0.641894 -   1.5s
[CV] c1=1.1857642642270323, c2=0.0061390886900166974 .................
[CV]  c1=1.1857642642270323, c2=0.0061390886900166974, score=0.735339 -   1.3s
[CV] c1=0.13858209059433987, c2=0.06555327989252392 ..................
[CV]  c1=0.13858209059433987, c2=0.06555327989252392, score=0.863073 -   1.3s
[CV] c1=0.7067624628918941, c2=0.09620217340923604 ...................
[CV]  c1=0.7067624628918941, c2=0.09620217340923604, score=0.725825 -   1.4s
[CV] c1=0.05373692204258172, c2=0.0018638833670450783 ................
[CV]  c1=0.05373692204258172, c2=0.0018638833670450783, score=0.795080 -   1.4s
[CV] c1=1.5913675043804543, c2=0.032502294727982085 ..................
[CV]  c1=1.5913675043804543, c2=0.032502294727982085, score=0.811406 -   1.4s
[CV] c1=0.17118720512478733, c2=0.12436480650534616 ..................
[CV]  c1=0.17118720512478733, c2=0.12436480650534616, score=0.857408 -   1.3s
[CV] c1=0.21791241359440286, c2=0.07657852573052762 ..................
[CV]  c1=0.21791241359440286, c2=0.07657852573052762, score=0.754471 -   1.1s
[CV] c1=0.06590411098131675, c2=0.15146484228054732 ..................
[CV]  c1=0.06590411098131675, c2=0.15146484228054732, score=0.808409 -   1.5s
[CV] c1=0.27546923418102465, c2=0.05869917093112029 ..................
[CV]  c1=0.27546923418102465, c2=0.05869917093112029, score=0.777110 -   1.5s
[CV] c1=0.5278695223932162, c2=2.3304114846612918e-07 ................
[CV]  c1=0.5278695223932162, c2=2.3304114846612918e-07, score=0.737779 -   1.5s
[CV] c1=0.5508718296258963, c2=0.0268905017514858 ....................
[CV]  c1=0.5508718296258963, c2=0.0268905017514858, score=0.891118 -   1.4s
[CV] c1=0.06569513750211628, c2=0.03658620894486733 ..................
[CV]  c1=0.06569513750211628, c2=0.03658620894486733, score=0.751719 -   1.2s
[CV] c1=0.6840910912872001, c2=0.07244515374637998 ...................
[CV]  c1=0.6840910912872001, c2=0.07244515374637998, score=0.772558 -   1.4s
[CV] c1=0.13858209059433987, c2=0.06555327989252392 ..................
[CV]  c1=0.13858209059433987, c2=0.06555327989252392, score=0.779123 -   1.4s
[CV] c1=0.9501774731810498, c2=0.11082387943135318 ...................
[CV]  c1=0.9501774731810498, c2=0.11082387943135318, score=0.625038 -   0.9s
[CV] c1=0.0882746603226177, c2=0.04090613613852241 ...................
[CV]  c1=0.0882746603226177, c2=0.04090613613852241, score=0.873035 -   1.4s
[CV] c1=0.023764532736278814, c2=0.005594457106840848 ................
[CV]  c1=0.023764532736278814, c2=0.005594457106840848, score=0.803489 -   1.2s
[CV] c1=0.1681136606816175, c2=0.01675704211575686 ...................
[CV]  c1=0.1681136606816175, c2=0.01675704211575686, score=0.888059 -   1.4s
[CV] c1=0.07418514596242017, c2=0.021765991510398854 .................
[CV]  c1=0.07418514596242017, c2=0.021765991510398854, score=0.789579 -   1.2s
[CV] c1=1.7706771358311066, c2=0.10942958997790858 ...................
[CV]  c1=1.7706771358311066, c2=0.10942958997790858, score=0.689434 -   1.4s
[CV] c1=0.3066643385909559, c2=0.14452275637181436 ...................
[CV]  c1=0.3066643385909559, c2=0.14452275637181436, score=0.707623 -   1.2s
[CV] c1=0.7974379426018202, c2=0.07718836804702606 ...................
[CV]  c1=0.7974379426018202, c2=0.07718836804702606, score=0.724753 -   1.5s
[CV] c1=0.7400971110314165, c2=0.058515539763858905 ..................
[CV]  c1=0.7400971110314165, c2=0.058515539763858905, score=0.706170 -   1.3s
[CV] c1=0.5508718296258963, c2=0.0268905017514858 ....................
[CV]  c1=0.5508718296258963, c2=0.0268905017514858, score=0.777889 -   1.4s
[CV] c1=0.06569513750211628, c2=0.03658620894486733 ..................
[CV]  c1=0.06569513750211628, c2=0.03658620894486733, score=0.816957 -   1.5s
[CV] c1=0.428857996024629, c2=0.028258683128161134 ...................
[CV]  c1=0.428857996024629, c2=0.028258683128161134, score=0.752509 -   1.3s
[CV] c1=1.7026884392541832, c2=0.02736818800533901 ...................
[CV]  c1=1.7026884392541832, c2=0.02736818800533901, score=0.588342 -   1.1s
[CV] c1=0.21756987621237525, c2=0.0015379113274442717 ................
[CV]  c1=0.21756987621237525, c2=0.0015379113274442717, score=0.788510 -   1.4s
[CV] c1=0.1273536988524161, c2=0.0006742704440179903 .................
[CV]  c1=0.1273536988524161, c2=0.0006742704440179903, score=0.852222 -   1.3s
[CV] c1=0.1681136606816175, c2=0.01675704211575686 ...................
[CV]  c1=0.1681136606816175, c2=0.01675704211575686, score=0.863073 -   1.4s
[CV] c1=0.07418514596242017, c2=0.021765991510398854 .................
[CV]  c1=0.07418514596242017, c2=0.021765991510398854, score=0.828690 -   1.4s
[CV] c1=0.2728150515608115, c2=0.05701181675500472 ...................
[CV]  c1=0.2728150515608115, c2=0.05701181675500472, score=0.807323 -   1.5s
[CV] c1=0.04830824678822958, c2=0.049993607531156004 .................
[CV]  c1=0.04830824678822958, c2=0.049993607531156004, score=0.778774 -   1.5s
[CV] c1=0.060430819136289664, c2=0.0014863035935884054 ...............
[CV]  c1=0.060430819136289664, c2=0.0014863035935884054, score=0.784009 -   1.1s
[CV] c1=0.36971231616284855, c2=0.002212142565168637 .................
[CV]  c1=0.36971231616284855, c2=0.002212142565168637, score=0.795483 -   1.4s
[CV] c1=0.17449834640180706, c2=0.0345483693197767 ...................
[CV]  c1=0.17449834640180706, c2=0.0345483693197767, score=0.781880 -   1.1s
[CV] c1=0.11029031551346394, c2=0.00490328789536746 ..................
[CV]  c1=0.11029031551346394, c2=0.00490328789536746, score=0.892343 -   1.4s
[CV] c1=0.428857996024629, c2=0.028258683128161134 ...................
[CV]  c1=0.428857996024629, c2=0.028258683128161134, score=0.748098 -   1.1s
[CV] c1=0.13858209059433987, c2=0.06555327989252392 ..................
[CV]  c1=0.13858209059433987, c2=0.06555327989252392, score=0.831625 -   1.4s
[CV] c1=0.4139556302073661, c2=0.06149672667038236 ...................
[CV]  c1=0.4139556302073661, c2=0.06149672667038236, score=0.828554 -   1.4s
[CV] c1=0.2819334669859859, c2=0.11756470773181593 ...................
[CV]  c1=0.2819334669859859, c2=0.11756470773181593, score=0.771585 -   1.5s
[CV] c1=0.011961511617563222, c2=0.04639009045255895 .................
[CV]  c1=0.011961511617563222, c2=0.04639009045255895, score=0.817849 -   1.4s
[CV] c1=0.07418514596242017, c2=0.021765991510398854 .................
[CV]  c1=0.07418514596242017, c2=0.021765991510398854, score=0.876516 -   1.4s
[CV] c1=0.2728150515608115, c2=0.05701181675500472 ...................
[CV]  c1=0.2728150515608115, c2=0.05701181675500472, score=0.777110 -   1.3s
[CV] c1=0.3066643385909559, c2=0.14452275637181436 ...................
[CV]  c1=0.3066643385909559, c2=0.14452275637181436, score=0.739262 -   1.5s
[CV] c1=0.38837540085017686, c2=0.06588121612332028 ..................
[CV]  c1=0.38837540085017686, c2=0.06588121612332028, score=0.741020 -   1.2s
[CV] c1=0.7400971110314165, c2=0.058515539763858905 ..................
[CV]  c1=0.7400971110314165, c2=0.058515539763858905, score=0.788218 -   1.4s
[CV] c1=0.004573262692243711, c2=0.0029269301449197614 ...............
[CV]  c1=0.004573262692243711, c2=0.0029269301449197614, score=0.796453 -   1.1s
[CV] c1=0.06569513750211628, c2=0.03658620894486733 ..................
[CV]  c1=0.06569513750211628, c2=0.03658620894486733, score=0.886004 -   1.4s
[CV] c1=0.2667540604491841, c2=0.03649205067658294 ...................
[CV]  c1=0.2667540604491841, c2=0.03649205067658294, score=0.776776 -   1.4s
[CV] c1=0.9892716612319506, c2=0.01668865947568366 ...................
[CV]  c1=0.9892716612319506, c2=0.01668865947568366, score=0.776679 -   1.3s
[CV] c1=0.04941740261797019, c2=0.06796011998868666 ..................
[CV]  c1=0.04941740261797019, c2=0.06796011998868666, score=0.704187 -   1.1s
[CV] c1=0.3099375099796858, c2=0.05659642323576796 ...................
[CV]  c1=0.3099375099796858, c2=0.05659642323576796, score=0.889467 -   1.4s
[CV] c1=0.011961511617563222, c2=0.04639009045255895 .................
[CV]  c1=0.011961511617563222, c2=0.04639009045255895, score=0.890762 -   1.3s
[CV] c1=0.17118720512478733, c2=0.12436480650534616 ..................
[CV]  c1=0.17118720512478733, c2=0.12436480650534616, score=0.774591 -   1.4s
[CV] c1=1.7706771358311066, c2=0.10942958997790858 ...................
[CV]  c1=1.7706771358311066, c2=0.10942958997790858, score=0.605254 -   1.3s
[CV] c1=0.9749400316008822, c2=0.06956339053019714 ...................
[CV]  c1=0.9749400316008822, c2=0.06956339053019714, score=0.658154 -   1.2s
[CV] c1=0.7974379426018202, c2=0.07718836804702606 ...................
[CV]  c1=0.7974379426018202, c2=0.07718836804702606, score=0.838617 -   1.4s
[CV] c1=0.5278695223932162, c2=2.3304114846612918e-07 ................
[CV]  c1=0.5278695223932162, c2=2.3304114846612918e-07, score=0.893221 -   1.4s
[CV] c1=0.8766032464254593, c2=0.031192560571571604 ..................
[CV]  c1=0.8766032464254593, c2=0.031192560571571604, score=0.691241 -   1.3s
[CV] c1=0.8201270710087539, c2=0.023597880680702274 ..................
[CV]  c1=0.8201270710087539, c2=0.023597880680702274, score=0.763444 -   1.4s
[CV] c1=0.2667540604491841, c2=0.03649205067658294 ...................
[CV]  c1=0.2667540604491841, c2=0.03649205067658294, score=0.889512 -   1.5s
[CV] c1=1.7026884392541832, c2=0.02736818800533901 ...................
[CV]  c1=1.7026884392541832, c2=0.02736818800533901, score=0.811334 -   1.2s
[CV] c1=0.7067624628918941, c2=0.09620217340923604 ...................
[CV]  c1=0.7067624628918941, c2=0.09620217340923604, score=0.770878 -   1.3s
[CV] c1=0.5868968245470118, c2=0.04443219812455834 ...................
[CV]  c1=0.5868968245470118, c2=0.04443219812455834, score=0.699566 -   1.1s
[CV] c1=0.03508278799098218, c2=0.06452855346889182 ..................
[CV]  c1=0.03508278799098218, c2=0.06452855346889182, score=0.888779 -   1.4s
[CV] c1=0.6629429756902228, c2=0.012482684664962222 ..................
[CV]  c1=0.6629429756902228, c2=0.012482684664962222, score=0.709566 -   1.1s
[CV] c1=1.4986924417174052, c2=0.004756298880146773 ..................
[CV]  c1=1.4986924417174052, c2=0.004756298880146773, score=0.829946 -   1.3s
[CV] c1=0.10747688824536386, c2=0.007392638173213175 .................
[CV]  c1=0.10747688824536386, c2=0.007392638173213175, score=0.836373 -   1.4s
[CV] c1=0.09257661760810168, c2=0.09064661748976309 ..................
[CV]  c1=0.09257661760810168, c2=0.09064661748976309, score=0.690956 -   1.1s
[CV] c1=0.1143333215387907, c2=0.04225209044626668 ...................
[CV]  c1=0.1143333215387907, c2=0.04225209044626668, score=0.860889 -   1.3s
[CV] c1=0.36971231616284855, c2=0.002212142565168637 .................
[CV]  c1=0.36971231616284855, c2=0.002212142565168637, score=0.763794 -   1.4s
[CV] c1=0.004573262692243711, c2=0.0029269301449197614 ...............
[CV]  c1=0.004573262692243711, c2=0.0029269301449197614, score=0.779480 -   1.5s
[CV] c1=0.35093890032506203, c2=0.0789781531844871 ...................
[CV]  c1=0.35093890032506203, c2=0.0789781531844871, score=0.715374 -   1.1s
[CV] c1=0.428857996024629, c2=0.028258683128161134 ...................
[CV]  c1=0.428857996024629, c2=0.028258683128161134, score=0.885534 -   1.3s
[CV] c1=0.9892716612319506, c2=0.01668865947568366 ...................
[CV]  c1=0.9892716612319506, c2=0.01668865947568366, score=0.638054 -   1.4s
[CV] c1=1.3271772042401357, c2=0.04095149222651653 ...................
[CV]  c1=1.3271772042401357, c2=0.04095149222651653, score=0.841710 -   1.3s
[CV] c1=0.05373692204258172, c2=0.0018638833670450783 ................
[CV]  c1=0.05373692204258172, c2=0.0018638833670450783, score=0.787805 -   1.1s
[CV] c1=0.03508278799098218, c2=0.06452855346889182 ..................
[CV]  c1=0.03508278799098218, c2=0.06452855346889182, score=0.713980 -   1.2s
[CV] c1=0.3268454788647498, c2=0.09181292546500236 ...................
[CV]  c1=0.3268454788647498, c2=0.09181292546500236, score=0.741843 -   1.2s
[CV] c1=0.735182316218939, c2=0.04659616406815495 ....................
[CV]  c1=0.735182316218939, c2=0.04659616406815495, score=0.766338 -   1.4s
[CV] c1=0.08083659270460884, c2=0.019194561551129877 .................
[CV]  c1=0.08083659270460884, c2=0.019194561551129877, score=0.888266 -   1.3s
[CV] c1=0.04830824678822958, c2=0.049993607531156004 .................
[CV]  c1=0.04830824678822958, c2=0.049993607531156004, score=0.820824 -   1.3s
[CV] c1=0.38837540085017686, c2=0.06588121612332028 ..................
[CV]  c1=0.38837540085017686, c2=0.06588121612332028, score=0.730152 -   1.4s
[CV] c1=0.1453250429965574, c2=0.0266621191050822 ....................
[CV]  c1=0.1453250429965574, c2=0.0266621191050822, score=0.790857 -   1.4s
[CV] c1=0.19605052474539097, c2=0.004432784550053551 .................
[CV]  c1=0.19605052474539097, c2=0.004432784550053551, score=0.783747 -   1.2s
[CV] c1=0.11029031551346394, c2=0.00490328789536746 ..................
[CV]  c1=0.11029031551346394, c2=0.00490328789536746, score=0.836373 -   1.4s
[CV] c1=0.29997506779240934, c2=0.07884233105102599 ..................
[CV]  c1=0.29997506779240934, c2=0.07884233105102599, score=0.753849 -   1.1s
[CV] c1=1.7026884392541832, c2=0.02736818800533901 ...................
[CV]  c1=1.7026884392541832, c2=0.02736818800533901, score=0.682593 -   1.2s
[CV] c1=0.7067624628918941, c2=0.09620217340923604 ...................
[CV]  c1=0.7067624628918941, c2=0.09620217340923604, score=0.854707 -   1.2s
[CV] c1=1.219492263036561, c2=0.0700100347051524 .....................
[CV]  c1=1.219492263036561, c2=0.0700100347051524, score=0.839446 -   1.4s
[CV] c1=0.03508278799098218, c2=0.06452855346889182 ..................
[CV]  c1=0.03508278799098218, c2=0.06452855346889182, score=0.770977 -   1.4s
[CV] c1=0.11487269427435585, c2=0.014656171287091553 .................
[CV]  c1=0.11487269427435585, c2=0.014656171287091553, score=0.884021 -   1.4s
[CV] c1=1.0903476854459886, c2=0.014675067474119187 ..................
[CV]  c1=1.0903476854459886, c2=0.014675067474119187, score=0.673069 -   1.0s
[CV] c1=0.08083659270460884, c2=0.019194561551129877 .................
[CV]  c1=0.08083659270460884, c2=0.019194561551129877, score=0.796160 -   1.4s
[CV] c1=0.07380737540548911, c2=0.022439679768673504 .................
[CV]  c1=0.07380737540548911, c2=0.022439679768673504, score=0.881146 -   1.4s
[CV] c1=0.07034269395308668, c2=0.085383414428832 ....................
[CV]  c1=0.07034269395308668, c2=0.085383414428832, score=0.888779 -   1.4s
[CV] c1=0.9670809753636666, c2=0.02723143213456572 ...................
[CV]  c1=0.9670809753636666, c2=0.02723143213456572, score=0.846458 -   1.3s
[CV] c1=0.19605052474539097, c2=0.004432784550053551 .................
[CV]  c1=0.19605052474539097, c2=0.004432784550053551, score=0.788510 -   1.5s
[CV] c1=0.1408687353253865, c2=0.040378637295662025 ..................
[CV]  c1=0.1408687353253865, c2=0.040378637295662025, score=0.762455 -   1.1s
[CV] c1=0.29997506779240934, c2=0.07884233105102599 ..................
[CV]  c1=0.29997506779240934, c2=0.07884233105102599, score=0.853125 -   1.3s
[CV] c1=0.29419605271013677, c2=0.02166277541522398 ..................
[CV]  c1=0.29419605271013677, c2=0.02166277541522398, score=0.757951 -   1.0s
[CV] c1=0.20995865093318608, c2=0.12605700711562337 ..................
[CV]  c1=0.20995865093318608, c2=0.12605700711562337, score=0.810831 -   1.4s
[CV] c1=1.219492263036561, c2=0.0700100347051524 .....................
[CV]  c1=1.219492263036561, c2=0.0700100347051524, score=0.627179 -   1.4s
[CV] c1=0.03508278799098218, c2=0.06452855346889182 ..................
[CV]  c1=0.03508278799098218, c2=0.06452855346889182, score=0.817849 -   1.4s
[CV] c1=0.11487269427435585, c2=0.014656171287091553 .................
[CV]  c1=0.11487269427435585, c2=0.014656171287091553, score=0.790857 -   1.6s
[CV] c1=0.10944662673506146, c2=0.10684129789156085 ..................
[CV]  c1=0.10944662673506146, c2=0.10684129789156085, score=0.859963 -   1.4s
[CV] c1=0.2551651021976019, c2=0.011024495783142092 ..................
[CV]  c1=0.2551651021976019, c2=0.011024495783142092, score=0.809809 -   1.5s
[CV] c1=0.251303869221234, c2=0.025659398648200604 ...................
[CV]  c1=0.251303869221234, c2=0.025659398648200604, score=0.885609 -   1.5s
[CV] c1=0.36971231616284855, c2=0.002212142565168637 .................
[CV]  c1=0.36971231616284855, c2=0.002212142565168637, score=0.907031 -   1.4s
[CV] c1=0.004573262692243711, c2=0.0029269301449197614 ...............
[CV]  c1=0.004573262692243711, c2=0.0029269301449197614, score=0.826224 -   1.5s
[CV] c1=0.11029031551346394, c2=0.00490328789536746 ..................
[CV]  c1=0.11029031551346394, c2=0.00490328789536746, score=0.859262 -   1.5s
[CV] c1=0.29997506779240934, c2=0.07884233105102599 ..................
[CV]  c1=0.29997506779240934, c2=0.07884233105102599, score=0.779123 -   1.4s
[CV] c1=0.258823552084395, c2=0.07563962808524322 ....................
[CV]  c1=0.258823552084395, c2=0.07563962808524322, score=0.714531 -   0.9s
[CV] c1=0.04941740261797019, c2=0.06796011998868666 ..................
[CV]  c1=0.04941740261797019, c2=0.06796011998868666, score=0.817408 -   1.4s
[CV] c1=0.1273536988524161, c2=0.0006742704440179903 .................
[CV]  c1=0.1273536988524161, c2=0.0006742704440179903, score=0.887290 -   1.4s
[CV] c1=0.1681136606816175, c2=0.01675704211575686 ...................
[CV]  c1=0.1681136606816175, c2=0.01675704211575686, score=0.777374 -   1.0s
[CV] c1=0.17118720512478733, c2=0.12436480650534616 ..................
[CV]  c1=0.17118720512478733, c2=0.12436480650534616, score=0.772146 -   1.4s
[CV] c1=0.21791241359440286, c2=0.07657852573052762 ..................
[CV]  c1=0.21791241359440286, c2=0.07657852573052762, score=0.860518 -   1.3s
[CV] c1=0.7167188252906324, c2=0.02676326262634511 ...................
[CV]  c1=0.7167188252906324, c2=0.02676326262634511, score=0.760234 -   1.3s
[CV] c1=0.7974379426018202, c2=0.07718836804702606 ...................
[CV]  c1=0.7974379426018202, c2=0.07718836804702606, score=0.687923 -   1.4s
[CV] c1=0.5278695223932162, c2=2.3304114846612918e-07 ................
[CV]  c1=0.5278695223932162, c2=2.3304114846612918e-07, score=0.787620 -   1.3s
[CV] c1=0.8766032464254593, c2=0.031192560571571604 ..................
[CV]  c1=0.8766032464254593, c2=0.031192560571571604, score=0.645793 -   1.5s
[CV] c1=0.06569513750211628, c2=0.03658620894486733 ..................
[CV]  c1=0.06569513750211628, c2=0.03658620894486733, score=0.800547 -   1.4s
[CV] c1=0.2667540604491841, c2=0.03649205067658294 ...................
[CV]  c1=0.2667540604491841, c2=0.03649205067658294, score=0.804889 -   1.4s
[CV] c1=1.7026884392541832, c2=0.02736818800533901 ...................
[CV]  c1=1.7026884392541832, c2=0.02736818800533901, score=0.606774 -   1.4s
[CV] c1=0.4139556302073661, c2=0.06149672667038236 ...................
[CV]  c1=0.4139556302073661, c2=0.06149672667038236, score=0.798948 -   1.4s
[CV] c1=0.2819334669859859, c2=0.11756470773181593 ...................
[CV]  c1=0.2819334669859859, c2=0.11756470773181593, score=0.764532 -   1.4s
[CV] c1=0.1681136606816175, c2=0.01675704211575686 ...................
[CV]  c1=0.1681136606816175, c2=0.01675704211575686, score=0.790857 -   1.3s
[CV] c1=0.07418514596242017, c2=0.021765991510398854 .................
[CV]  c1=0.07418514596242017, c2=0.021765991510398854, score=0.836410 -   1.2s
[CV] c1=0.2728150515608115, c2=0.05701181675500472 ...................
[CV]  c1=0.2728150515608115, c2=0.05701181675500472, score=0.887744 -   1.3s
[CV] c1=0.3066643385909559, c2=0.14452275637181436 ...................
[CV]  c1=0.3066643385909559, c2=0.14452275637181436, score=0.873902 -   1.3s
[CV] c1=0.1143333215387907, c2=0.04225209044626668 ...................
[CV]  c1=0.1143333215387907, c2=0.04225209044626668, score=0.748172 -   1.0s
[CV] c1=1.7947477929314173, c2=0.011322676068646112 ..................
[CV]  c1=1.7947477929314173, c2=0.011322676068646112, score=0.551780 -   1.3s
[CV] c1=0.513607556984169, c2=0.014271354684596333 ...................
[CV]  c1=0.513607556984169, c2=0.014271354684596333, score=0.836973 -   1.3s
[CV] c1=0.9189218909041281, c2=0.10084228055982936 ...................
[CV]  c1=0.9189218909041281, c2=0.10084228055982936, score=0.650670 -   1.2s
[CV] c1=0.09011288738198293, c2=0.055801763053379284 .................
[CV]  c1=0.09011288738198293, c2=0.055801763053379284, score=0.712212 -   1.0s
[CV] c1=0.29401586016991993, c2=0.013455339733906266 .................
[CV]  c1=0.29401586016991993, c2=0.013455339733906266, score=0.884901 -   1.3s
[CV] c1=0.29419605271013677, c2=0.02166277541522398 ..................
[CV]  c1=0.29419605271013677, c2=0.02166277541522398, score=0.863073 -   1.1s
[CV] c1=0.20995865093318608, c2=0.12605700711562337 ..................
[CV]  c1=0.20995865093318608, c2=0.12605700711562337, score=0.770133 -   1.4s
[CV] c1=0.003676589213693777, c2=0.026457998048630218 ................
[CV]  c1=0.003676589213693777, c2=0.026457998048630218, score=0.777725 -   1.4s
[CV] c1=0.03508278799098218, c2=0.06452855346889182 ..................
[CV]  c1=0.03508278799098218, c2=0.06452855346889182, score=0.860889 -   1.4s
[CV] c1=0.6629429756902228, c2=0.012482684664962222 ..................
[CV]  c1=0.6629429756902228, c2=0.012482684664962222, score=0.765912 -   1.5s
[CV] c1=1.0903476854459886, c2=0.014675067474119187 ..................
[CV]  c1=1.0903476854459886, c2=0.014675067474119187, score=0.637868 -   1.4s
[CV] c1=0.2551651021976019, c2=0.011024495783142092 ..................
[CV]  c1=0.2551651021976019, c2=0.011024495783142092, score=0.861157 -   1.4s
[CV] c1=0.27546923418102465, c2=0.05869917093112029 ..................
[CV]  c1=0.27546923418102465, c2=0.05869917093112029, score=0.796183 -   1.5s
[CV] c1=0.7400971110314165, c2=0.058515539763858905 ..................
[CV]  c1=0.7400971110314165, c2=0.058515539763858905, score=0.847172 -   1.4s
[CV] c1=0.5508718296258963, c2=0.0268905017514858 ....................
[CV]  c1=0.5508718296258963, c2=0.0268905017514858, score=0.780667 -   1.7s
[CV] c1=0.35093890032506203, c2=0.0789781531844871 ...................
[CV]  c1=0.35093890032506203, c2=0.0789781531844871, score=0.730152 -   1.4s
[CV] c1=0.29401586016991993, c2=0.013455339733906266 .................
[CV]  c1=0.29401586016991993, c2=0.013455339733906266, score=0.751781 -   1.2s
[CV] c1=1.7026884392541832, c2=0.02736818800533901 ...................
[CV]  c1=1.7026884392541832, c2=0.02736818800533901, score=0.551485 -   1.2s
[CV] c1=0.4139556302073661, c2=0.06149672667038236 ...................
[CV]  c1=0.4139556302073661, c2=0.06149672667038236, score=0.879019 -   1.4s
[CV] c1=0.3099375099796858, c2=0.05659642323576796 ...................
[CV]  c1=0.3099375099796858, c2=0.05659642323576796, score=0.747277 -   1.1s
[CV] c1=0.4497151807360327, c2=0.10197650684344889 ...................
[CV]  c1=0.4497151807360327, c2=0.10197650684344889, score=0.723683 -   1.1s
[CV] c1=0.6629429756902228, c2=0.012482684664962222 ..................
[CV]  c1=0.6629429756902228, c2=0.012482684664962222, score=0.808839 -   1.4s
[CV] c1=0.3176380491724326, c2=0.009715909059773601 ..................
[CV]  c1=0.3176380491724326, c2=0.009715909059773601, score=0.762222 -   1.3s
[CV] c1=0.10170207210967054, c2=0.0627911501584806 ...................
[CV]  c1=0.10170207210967054, c2=0.0627911501584806, score=0.886390 -   1.3s
[CV] c1=0.07380737540548911, c2=0.022439679768673504 .................
[CV]  c1=0.07380737540548911, c2=0.022439679768673504, score=0.791901 -   1.1s
[CV] c1=0.38837540085017686, c2=0.06588121612332028 ..................
[CV]  c1=0.38837540085017686, c2=0.06588121612332028, score=0.828554 -   1.4s
[CV] c1=0.1453250429965574, c2=0.0266621191050822 ....................
[CV]  c1=0.1453250429965574, c2=0.0266621191050822, score=0.796160 -   1.4s
[CV] c1=0.17449834640180706, c2=0.0345483693197767 ...................
[CV]  c1=0.17449834640180706, c2=0.0345483693197767, score=0.863073 -   1.3s
[CV] c1=0.35093890032506203, c2=0.0789781531844871 ...................
[CV]  c1=0.35093890032506203, c2=0.0789781531844871, score=0.833235 -   1.3s
[CV] c1=0.428857996024629, c2=0.028258683128161134 ...................
[CV]  c1=0.428857996024629, c2=0.028258683128161134, score=0.798660 -   1.4s
[CV] c1=0.29419605271013677, c2=0.02166277541522398 ..................
[CV]  c1=0.29419605271013677, c2=0.02166277541522398, score=0.770272 -   1.2s
[CV] c1=0.20995865093318608, c2=0.12605700711562337 ..................
[CV]  c1=0.20995865093318608, c2=0.12605700711562337, score=0.857259 -   1.2s
[CV] c1=0.003676589213693777, c2=0.026457998048630218 ................
[CV]  c1=0.003676589213693777, c2=0.026457998048630218, score=0.845034 -   1.3s
[CV] c1=0.6762965583519639, c2=0.011562530681042833 ..................
[CV]  c1=0.6762965583519639, c2=0.011562530681042833, score=0.717822 -   1.5s
[CV] c1=0.6629429756902228, c2=0.012482684664962222 ..................
[CV]  c1=0.6629429756902228, c2=0.012482684664962222, score=0.863566 -   1.4s
[CV] c1=0.3176380491724326, c2=0.009715909059773601 ..................
[CV]  c1=0.3176380491724326, c2=0.009715909059773601, score=0.783368 -   1.1s
[CV] c1=0.08083659270460884, c2=0.019194561551129877 .................
[CV]  c1=0.08083659270460884, c2=0.019194561551129877, score=0.793246 -   1.4s
[CV] c1=0.09257661760810168, c2=0.09064661748976309 ..................
[CV]  c1=0.09257661760810168, c2=0.09064661748976309, score=0.760510 -   1.4s
[CV] c1=0.060430819136289664, c2=0.0014863035935884054 ...............
[CV]  c1=0.060430819136289664, c2=0.0014863035935884054, score=0.831614 -   1.3s
[CV] c1=0.05565762048309231, c2=0.026479134000073297 .................
[CV]  c1=0.05565762048309231, c2=0.026479134000073297, score=0.845627 -   1.3s
[CV] c1=0.19605052474539097, c2=0.004432784550053551 .................
[CV]  c1=0.19605052474539097, c2=0.004432784550053551, score=0.828090 -   1.4s
[CV] c1=0.1408687353253865, c2=0.040378637295662025 ..................
[CV]  c1=0.1408687353253865, c2=0.040378637295662025, score=0.882516 -   1.3s
[CV] c1=1.0640166983060548, c2=0.1418733581006783 ....................
[CV]  c1=1.0640166983060548, c2=0.1418733581006783, score=0.843829 -   1.4s
[CV] c1=0.21494307499249368, c2=0.12472493299296411 ..................
[CV]  c1=0.21494307499249368, c2=0.12472493299296411, score=0.714218 -   0.9s
[CV] c1=1.3271772042401357, c2=0.04095149222651653 ...................
[CV]  c1=1.3271772042401357, c2=0.04095149222651653, score=0.642711 -   1.1s
[CV] c1=1.219492263036561, c2=0.0700100347051524 .....................
[CV]  c1=1.219492263036561, c2=0.0700100347051524, score=0.711901 -   1.4s
[CV] c1=0.7230900174491672, c2=0.10005005670126838 ...................
[CV]  c1=0.7230900174491672, c2=0.10005005670126838, score=0.660509 -   1.1s
[CV] c1=0.3268454788647498, c2=0.09181292546500236 ...................
[CV]  c1=0.3268454788647498, c2=0.09181292546500236, score=0.751246 -   1.4s
[CV] c1=1.4986924417174052, c2=0.004756298880146773 ..................
[CV]  c1=1.4986924417174052, c2=0.004756298880146773, score=0.687748 -   1.3s
[CV] c1=0.08083659270460884, c2=0.019194561551129877 .................
[CV]  c1=0.08083659270460884, c2=0.019194561551129877, score=0.841701 -   1.3s
[CV] c1=0.09257661760810168, c2=0.09064661748976309 ..................
[CV]  c1=0.09257661760810168, c2=0.09064661748976309, score=0.860889 -   1.5s
[CV] c1=0.060430819136289664, c2=0.0014863035935884054 ...............
[CV]  c1=0.060430819136289664, c2=0.0014863035935884054, score=0.824327 -   1.5s
[CV] c1=0.9670809753636666, c2=0.02723143213456572 ...................
[CV]  c1=0.9670809753636666, c2=0.02723143213456572, score=0.690988 -   1.2s
[CV] c1=0.19605052474539097, c2=0.004432784550053551 .................
[CV]  c1=0.19605052474539097, c2=0.004432784550053551, score=0.885609 -   1.4s
[CV] c1=0.12085102452052962, c2=0.029125817132466404 .................
[CV]  c1=0.12085102452052962, c2=0.029125817132466404, score=0.781635 -   1.2s
[CV] c1=0.428857996024629, c2=0.028258683128161134 ...................
[CV]  c1=0.428857996024629, c2=0.028258683128161134, score=0.843468 -   1.4s
[CV] c1=0.29419605271013677, c2=0.02166277541522398 ..................
[CV]  c1=0.29419605271013677, c2=0.02166277541522398, score=0.892682 -   1.2s
[CV] c1=0.9501774731810498, c2=0.11082387943135318 ...................
[CV]  c1=0.9501774731810498, c2=0.11082387943135318, score=0.837171 -   1.2s
[CV] c1=0.0882746603226177, c2=0.04090613613852241 ...................
[CV]  c1=0.0882746603226177, c2=0.04090613613852241, score=0.860889 -   1.4s
[CV] c1=0.6762965583519639, c2=0.011562530681042833 ..................
[CV]  c1=0.6762965583519639, c2=0.011562530681042833, score=0.855995 -   1.4s
[CV] c1=0.3268454788647498, c2=0.09181292546500236 ...................
[CV]  c1=0.3268454788647498, c2=0.09181292546500236, score=0.879921 -   1.5s
[CV] c1=1.4986924417174052, c2=0.004756298880146773 ..................
[CV]  c1=1.4986924417174052, c2=0.004756298880146773, score=0.645345 -   1.1s
[CV] c1=0.10747688824536386, c2=0.007392638173213175 .................
[CV]  c1=0.10747688824536386, c2=0.007392638173213175, score=0.863073 -   1.4s
[CV] c1=0.09257661760810168, c2=0.09064661748976309 ..................
[CV]  c1=0.09257661760810168, c2=0.09064661748976309, score=0.883574 -   1.4s
[CV] c1=0.060430819136289664, c2=0.0014863035935884054 ...............
[CV]  c1=0.060430819136289664, c2=0.0014863035935884054, score=0.878814 -   1.4s
[CV] c1=0.05565762048309231, c2=0.026479134000073297 .................
[CV]  c1=0.05565762048309231, c2=0.026479134000073297, score=0.793505 -   1.5s
[CV] c1=0.31787914909557496, c2=0.004035502276612104 .................
[CV]  c1=0.31787914909557496, c2=0.004035502276612104, score=0.907379 -   1.4s
[CV] c1=0.1408687353253865, c2=0.040378637295662025 ..................
[CV]  c1=0.1408687353253865, c2=0.040378637295662025, score=0.779123 -   1.4s
[CV] c1=1.0640166983060548, c2=0.1418733581006783 ....................
[CV]  c1=1.0640166983060548, c2=0.1418733581006783, score=0.623369 -   1.1s
[CV] c1=0.258823552084395, c2=0.07563962808524322 ....................
[CV]  c1=0.258823552084395, c2=0.07563962808524322, score=0.886208 -   1.1s
[CV] c1=0.7885147468705422, c2=0.14194495176727004 ...................
[CV]  c1=0.7885147468705422, c2=0.14194495176727004, score=0.676789 -   1.4s
[CV] c1=0.5868968245470118, c2=0.04443219812455834 ...................
[CV]  c1=0.5868968245470118, c2=0.04443219812455834, score=0.800298 -   1.3s
[CV] c1=0.7230900174491672, c2=0.10005005670126838 ...................
[CV]  c1=0.7230900174491672, c2=0.10005005670126838, score=0.690783 -   1.4s
[CV] c1=0.11487269427435585, c2=0.014656171287091553 .................
[CV]  c1=0.11487269427435585, c2=0.014656171287091553, score=0.841877 -   1.5s
[CV] c1=0.10944662673506146, c2=0.10684129789156085 ..................
[CV]  c1=0.10944662673506146, c2=0.10684129789156085, score=0.707806 -   1.1s
[CV] c1=0.06590411098131675, c2=0.15146484228054732 ..................
[CV]  c1=0.06590411098131675, c2=0.15146484228054732, score=0.882305 -   1.4s
[CV] c1=0.20493735896994755, c2=0.06053089615257448 ..................
[CV]  c1=0.20493735896994755, c2=0.06053089615257448, score=0.859063 -   1.4s
[CV] c1=0.272465177891602, c2=0.014884436365158592 ...................
[CV]  c1=0.272465177891602, c2=0.014884436365158592, score=0.861157 -   1.3s
[CV] c1=0.25907842646032236, c2=0.038166334028664234 .................
[CV]  c1=0.25907842646032236, c2=0.038166334028664234, score=0.853851 -   1.4s
[CV] c1=0.1480078176687965, c2=0.10084404853825724 ...................
[CV]  c1=0.1480078176687965, c2=0.10084404853825724, score=0.772105 -   1.4s
[CV] c1=0.6840910912872001, c2=0.07244515374637998 ...................
[CV]  c1=0.6840910912872001, c2=0.07244515374637998, score=0.699104 -   1.1s
[CV] c1=1.1156406588404142, c2=0.01817615626891828 ...................
[CV]  c1=1.1156406588404142, c2=0.01817615626891828, score=0.688280 -   1.2s
[CV] c1=0.21494307499249368, c2=0.12472493299296411 ..................
[CV]  c1=0.21494307499249368, c2=0.12472493299296411, score=0.897248 -   1.0s
[CV] c1=0.7885147468705422, c2=0.14194495176727004 ...................
[CV]  c1=0.7885147468705422, c2=0.14194495176727004, score=0.761594 -   1.4s
[CV] c1=0.5868968245470118, c2=0.04443219812455834 ...................
[CV]  c1=0.5868968245470118, c2=0.04443219812455834, score=0.862669 -   1.4s
[CV] c1=0.7230900174491672, c2=0.10005005670126838 ...................
[CV]  c1=0.7230900174491672, c2=0.10005005670126838, score=0.849609 -   1.4s
[CV] c1=0.6432811140650437, c2=0.059525533404892306 ..................
[CV]  c1=0.6432811140650437, c2=0.059525533404892306, score=0.847366 -   1.4s
[CV] c1=0.10944662673506146, c2=0.10684129789156085 ..................
[CV]  c1=0.10944662673506146, c2=0.10684129789156085, score=0.772146 -   1.4s
[CV] c1=0.7167188252906324, c2=0.02676326262634511 ...................
[CV]  c1=0.7167188252906324, c2=0.02676326262634511, score=0.862033 -   1.4s
[CV] c1=0.7974379426018202, c2=0.07718836804702606 ...................
[CV]  c1=0.7974379426018202, c2=0.07718836804702606, score=0.685676 -   1.1s
[CV] c1=0.272465177891602, c2=0.014884436365158592 ...................
[CV]  c1=0.272465177891602, c2=0.014884436365158592, score=0.801479 -   1.4s
[CV] c1=0.513607556984169, c2=0.014271354684596333 ...................
[CV]  c1=0.513607556984169, c2=0.014271354684596333, score=0.752632 -   1.1s
[CV] c1=0.1480078176687965, c2=0.10084404853825724 ...................
[CV]  c1=0.1480078176687965, c2=0.10084404853825724, score=0.884527 -   1.4s
[CV] c1=0.09011288738198293, c2=0.055801763053379284 .................
[CV]  c1=0.09011288738198293, c2=0.055801763053379284, score=0.883574 -   1.4s
[CV] c1=1.1156406588404142, c2=0.01817615626891828 ...................
[CV]  c1=1.1156406588404142, c2=0.01817615626891828, score=0.645921 -   1.4s
[CV] c1=0.1013123485859953, c2=0.09855228845169395 ...................
[CV]  c1=0.1013123485859953, c2=0.09855228845169395, score=0.698392 -   0.8s
[CV] c1=0.20995865093318608, c2=0.12605700711562337 ..................
[CV]  c1=0.20995865093318608, c2=0.12605700711562337, score=0.718696 -   0.9s
[CV] c1=0.0882746603226177, c2=0.04090613613852241 ...................
[CV]  c1=0.0882746603226177, c2=0.04090613613852241, score=0.758364 -   1.2s
[CV] c1=0.1273536988524161, c2=0.0006742704440179903 .................
[CV]  c1=0.1273536988524161, c2=0.0006742704440179903, score=0.796101 -   1.5s
[CV] c1=0.37653615425271786, c2=0.012799140484359523 .................
[CV]  c1=0.37653615425271786, c2=0.012799140484359523, score=0.894500 -   1.4s
[CV] c1=0.735182316218939, c2=0.04659616406815495 ....................
[CV]  c1=0.735182316218939, c2=0.04659616406815495, score=0.671326 -   1.1s
[CV] c1=0.2728150515608115, c2=0.05701181675500472 ...................
[CV]  c1=0.2728150515608115, c2=0.05701181675500472, score=0.755543 -   1.2s
[CV] c1=0.7167188252906324, c2=0.02676326262634511 ...................
[CV]  c1=0.7167188252906324, c2=0.02676326262634511, score=0.768905 -   1.5s
[CV] c1=0.1143333215387907, c2=0.04225209044626668 ...................
[CV]  c1=0.1143333215387907, c2=0.04225209044626668, score=0.888779 -   1.4s
[CV] c1=0.36971231616284855, c2=0.002212142565168637 .................
[CV]  c1=0.36971231616284855, c2=0.002212142565168637, score=0.844028 -   1.3s
[CV] c1=0.004573262692243711, c2=0.0029269301449197614 ...............
[CV]  c1=0.004573262692243711, c2=0.0029269301449197614, score=0.851571 -   1.4s
[CV] c1=0.11029031551346394, c2=0.00490328789536746 ..................
[CV]  c1=0.11029031551346394, c2=0.00490328789536746, score=0.792381 -   1.5s
[CV] c1=0.29997506779240934, c2=0.07884233105102599 ..................
[CV]  c1=0.29997506779240934, c2=0.07884233105102599, score=0.894859 -   1.5s
[CV] c1=0.29419605271013677, c2=0.02166277541522398 ..................
[CV]  c1=0.29419605271013677, c2=0.02166277541522398, score=0.801193 -   1.2s
[CV] c1=0.21756987621237525, c2=0.0015379113274442717 ................
[CV]  c1=0.21756987621237525, c2=0.0015379113274442717, score=0.863617 -   1.3s
[CV] c1=0.1273536988524161, c2=0.0006742704440179903 .................
[CV]  c1=0.1273536988524161, c2=0.0006742704440179903, score=0.774663 -   1.1s
[CV] c1=1.5913675043804543, c2=0.032502294727982085 ..................
[CV]  c1=1.5913675043804543, c2=0.032502294727982085, score=0.609859 -   1.5s
[CV] c1=0.553304177613659, c2=0.1325847612486002 .....................
[CV]  c1=0.553304177613659, c2=0.1325847612486002, score=0.765907 -   1.3s
[CV] c1=1.7706771358311066, c2=0.10942958997790858 ...................
[CV]  c1=1.7706771358311066, c2=0.10942958997790858, score=0.550639 -   1.5s
[CV] c1=0.3066643385909559, c2=0.14452275637181436 ...................
[CV]  c1=0.3066643385909559, c2=0.14452275637181436, score=0.749980 -   1.4s
[CV] c1=0.1143333215387907, c2=0.04225209044626668 ...................
[CV]  c1=0.1143333215387907, c2=0.04225209044626668, score=0.829027 -   1.5s
[CV] c1=0.1453250429965574, c2=0.0266621191050822 ....................
[CV]  c1=0.1453250429965574, c2=0.0266621191050822, score=0.861157 -   1.3s
[CV] c1=0.17449834640180706, c2=0.0345483693197767 ...................
[CV]  c1=0.17449834640180706, c2=0.0345483693197767, score=0.787173 -   1.4s
[CV] c1=0.35093890032506203, c2=0.0789781531844871 ...................
[CV]  c1=0.35093890032506203, c2=0.0789781531844871, score=0.773970 -   1.4s
[CV] c1=0.29401586016991993, c2=0.013455339733906266 .................
[CV]  c1=0.29401586016991993, c2=0.013455339733906266, score=0.863073 -   1.3s
[CV] c1=0.258823552084395, c2=0.07563962808524322 ....................
[CV]  c1=0.258823552084395, c2=0.07563962808524322, score=0.767487 -   1.1s
[CV] c1=0.04941740261797019, c2=0.06796011998868666 ..................
[CV]  c1=0.04941740261797019, c2=0.06796011998868666, score=0.888779 -   1.3s
[CV] c1=0.2819334669859859, c2=0.11756470773181593 ...................
[CV]  c1=0.2819334669859859, c2=0.11756470773181593, score=0.877954 -   1.3s
[CV] c1=1.5913675043804543, c2=0.032502294727982085 ..................
[CV]  c1=1.5913675043804543, c2=0.032502294727982085, score=0.548717 -   1.4s
[CV] c1=0.553304177613659, c2=0.1325847612486002 .....................
[CV]  c1=0.553304177613659, c2=0.1325847612486002, score=0.666568 -   1.2s
[CV] c1=0.10944662673506146, c2=0.10684129789156085 ..................
[CV]  c1=0.10944662673506146, c2=0.10684129789156085, score=0.811928 -   1.4s
[CV] c1=0.7167188252906324, c2=0.02676326262634511 ...................
[CV]  c1=0.7167188252906324, c2=0.02676326262634511, score=0.713569 -   1.0s
[CV] c1=0.20493735896994755, c2=0.06053089615257448 ..................
[CV]  c1=0.20493735896994755, c2=0.06053089615257448, score=0.883574 -   1.4s
[CV] c1=0.272465177891602, c2=0.014884436365158592 ...................
[CV]  c1=0.272465177891602, c2=0.014884436365158592, score=0.882516 -   1.4s
[CV] c1=0.25907842646032236, c2=0.038166334028664234 .................
[CV]  c1=0.25907842646032236, c2=0.038166334028664234, score=0.895941 -   1.4s
[CV] c1=0.1480078176687965, c2=0.10084404853825724 ...................
[CV]  c1=0.1480078176687965, c2=0.10084404853825724, score=0.725657 -   1.0s
[CV] c1=0.12085102452052962, c2=0.029125817132466404 .................
[CV]  c1=0.12085102452052962, c2=0.029125817132466404, score=0.863073 -   1.3s
[CV] c1=0.29401586016991993, c2=0.013455339733906266 .................
[CV]  c1=0.29401586016991993, c2=0.013455339733906266, score=0.762598 -   1.4s
[CV] c1=0.258823552084395, c2=0.07563962808524322 ....................
[CV]  c1=0.258823552084395, c2=0.07563962808524322, score=0.782931 -   1.1s
[CV] c1=0.21756987621237525, c2=0.0015379113274442717 ................
[CV]  c1=0.21756987621237525, c2=0.0015379113274442717, score=0.784886 -   1.1s
[CV] c1=0.3099375099796858, c2=0.05659642323576796 ...................
[CV]  c1=0.3099375099796858, c2=0.05659642323576796, score=0.765474 -   1.5s
[CV] c1=0.011961511617563222, c2=0.04639009045255895 .................
[CV]  c1=0.011961511617563222, c2=0.04639009045255895, score=0.852876 -   1.3s
[CV] c1=0.553304177613659, c2=0.1325847612486002 .....................
[CV]  c1=0.553304177613659, c2=0.1325847612486002, score=0.769318 -   1.4s
[CV] c1=0.2728150515608115, c2=0.05701181675500472 ...................
[CV]  c1=0.2728150515608115, c2=0.05701181675500472, score=0.863073 -   1.3s
[CV] c1=0.3066643385909559, c2=0.14452275637181436 ...................
[CV]  c1=0.3066643385909559, c2=0.14452275637181436, score=0.834540 -   1.4s
[CV] c1=0.38837540085017686, c2=0.06588121612332028 ..................
[CV]  c1=0.38837540085017686, c2=0.06588121612332028, score=0.879367 -   1.6s
[CV] c1=0.05565762048309231, c2=0.026479134000073297 .................
[CV]  c1=0.05565762048309231, c2=0.026479134000073297, score=0.775128 -   1.2s
[CV] c1=0.17449834640180706, c2=0.0345483693197767 ...................
[CV]  c1=0.17449834640180706, c2=0.0345483693197767, score=0.883574 -   1.4s
[CV] c1=0.35093890032506203, c2=0.0789781531844871 ...................
[CV]  c1=0.35093890032506203, c2=0.0789781531844871, score=0.882309 -   1.4s
[CV] c1=0.29997506779240934, c2=0.07884233105102599 ..................
[CV]  c1=0.29997506779240934, c2=0.07884233105102599, score=0.807323 -   1.5s
[CV] c1=0.258823552084395, c2=0.07563962808524322 ....................
[CV]  c1=0.258823552084395, c2=0.07563962808524322, score=0.858334 -   1.1s
[CV] c1=0.4139556302073661, c2=0.06149672667038236 ...................
[CV]  c1=0.4139556302073661, c2=0.06149672667038236, score=0.774474 -   1.1s
[CV] c1=0.05373692204258172, c2=0.0018638833670450783 ................
[CV]  c1=0.05373692204258172, c2=0.0018638833670450783, score=0.884941 -   1.3s
[CV] c1=0.7230900174491672, c2=0.10005005670126838 ...................
[CV]  c1=0.7230900174491672, c2=0.10005005670126838, score=0.767220 -   1.4s
[CV] c1=0.6432811140650437, c2=0.059525533404892306 ..................
[CV]  c1=0.6432811140650437, c2=0.059525533404892306, score=0.699253 -   1.4s
[CV] c1=0.21791241359440286, c2=0.07657852573052762 ..................
[CV]  c1=0.21791241359440286, c2=0.07657852573052762, score=0.886916 -   1.4s
[CV] c1=0.7167188252906324, c2=0.02676326262634511 ...................
[CV]  c1=0.7167188252906324, c2=0.02676326262634511, score=0.690658 -   1.3s
[CV] c1=0.7974379426018202, c2=0.07718836804702606 ...................
[CV]  c1=0.7974379426018202, c2=0.07718836804702606, score=0.771852 -   1.3s
[CV] c1=0.5278695223932162, c2=2.3304114846612918e-07 ................
[CV]  c1=0.5278695223932162, c2=2.3304114846612918e-07, score=0.838668 -   1.3s
[CV] c1=0.8766032464254593, c2=0.031192560571571604 ..................
[CV]  c1=0.8766032464254593, c2=0.031192560571571604, score=0.795435 -   1.3s
[CV] c1=0.8201270710087539, c2=0.023597880680702274 ..................
[CV]  c1=0.8201270710087539, c2=0.023597880680702274, score=0.784938 -   1.3s
[CV] c1=1.1857642642270323, c2=0.0061390886900166974 .................
[CV]  c1=1.1857642642270323, c2=0.0061390886900166974, score=0.698664 -   0.9s
[CV] c1=1.0640166983060548, c2=0.1418733581006783 ....................
[CV]  c1=1.0640166983060548, c2=0.1418733581006783, score=0.747599 -   1.4s
[CV] c1=0.21494307499249368, c2=0.12472493299296411 ..................
[CV]  c1=0.21494307499249368, c2=0.12472493299296411, score=0.764608 -   1.1s
[CV] c1=1.3271772042401357, c2=0.04095149222651653 ...................
[CV]  c1=1.3271772042401357, c2=0.04095149222651653, score=0.565987 -   1.4s
[CV] c1=0.3099375099796858, c2=0.05659642323576796 ...................
[CV]  c1=0.3099375099796858, c2=0.05659642323576796, score=0.859043 -   1.3s
[CV] c1=1.5913675043804543, c2=0.032502294727982085 ..................
[CV]  c1=1.5913675043804543, c2=0.032502294727982085, score=0.596221 -   1.1s
[CV] c1=0.11487269427435585, c2=0.014656171287091553 .................
[CV]  c1=0.11487269427435585, c2=0.014656171287091553, score=0.861157 -   1.3s
[CV] c1=1.0903476854459886, c2=0.014675067474119187 ..................
[CV]  c1=1.0903476854459886, c2=0.014675067474119187, score=0.652769 -   1.4s
[CV] c1=0.2551651021976019, c2=0.011024495783142092 ..................
[CV]  c1=0.2551651021976019, c2=0.011024495783142092, score=0.894667 -   1.4s
[CV] c1=0.27546923418102465, c2=0.05869917093112029 ..................
[CV]  c1=0.27546923418102465, c2=0.05869917093112029, score=0.730891 -   1.0s
[CV] c1=0.07034269395308668, c2=0.085383414428832 ....................
[CV]  c1=0.07034269395308668, c2=0.085383414428832, score=0.817408 -   1.4s
[CV] c1=0.25907842646032236, c2=0.038166334028664234 .................
[CV]  c1=0.25907842646032236, c2=0.038166334028664234, score=0.785396 -   1.1s
[CV] c1=0.31787914909557496, c2=0.004035502276612104 .................
[CV]  c1=0.31787914909557496, c2=0.004035502276612104, score=0.782990 -   1.2s
[CV] c1=0.12085102452052962, c2=0.029125817132466404 .................
[CV]  c1=0.12085102452052962, c2=0.029125817132466404, score=0.887720 -   1.4s
[CV] c1=0.29401586016991993, c2=0.013455339733906266 .................
[CV]  c1=0.29401586016991993, c2=0.013455339733906266, score=0.801479 -   1.5s
[CV] c1=0.21494307499249368, c2=0.12472493299296411 ..................
[CV]  c1=0.21494307499249368, c2=0.12472493299296411, score=0.858774 -   1.1s
[CV] c1=0.7067624628918941, c2=0.09620217340923604 ...................
[CV]  c1=0.7067624628918941, c2=0.09620217340923604, score=0.696158 -   1.3s
[CV] c1=0.5868968245470118, c2=0.04443219812455834 ...................
[CV]  c1=0.5868968245470118, c2=0.04443219812455834, score=0.772558 -   1.4s
[CV] c1=0.4497151807360327, c2=0.10197650684344889 ...................
[CV]  c1=0.4497151807360327, c2=0.10197650684344889, score=0.806974 -   1.4s
[CV] c1=0.17118720512478733, c2=0.12436480650534616 ..................
[CV]  c1=0.17118720512478733, c2=0.12436480650534616, score=0.718491 -   1.1s
[CV] c1=1.0903476854459886, c2=0.014675067474119187 ..................
[CV]  c1=1.0903476854459886, c2=0.014675067474119187, score=0.772538 -   1.3s
[CV] c1=0.06590411098131675, c2=0.15146484228054732 ..................
[CV]  c1=0.06590411098131675, c2=0.15146484228054732, score=0.767972 -   1.4s
[CV] c1=0.20493735896994755, c2=0.06053089615257448 ..................
[CV]  c1=0.20493735896994755, c2=0.06053089615257448, score=0.788157 -   1.4s
[CV] c1=1.7947477929314173, c2=0.011322676068646112 ..................
[CV]  c1=1.7947477929314173, c2=0.011322676068646112, score=0.800835 -   1.4s
[CV] c1=0.513607556984169, c2=0.014271354684596333 ...................
[CV]  c1=0.513607556984169, c2=0.014271354684596333, score=0.713305 -   1.4s
[CV] c1=0.9189218909041281, c2=0.10084228055982936 ...................
[CV]  c1=0.9189218909041281, c2=0.10084228055982936, score=0.752238 -   1.4s
[CV] c1=0.6840910912872001, c2=0.07244515374637998 ...................
[CV]  c1=0.6840910912872001, c2=0.07244515374637998, score=0.699388 -   1.4s
[CV] c1=0.13858209059433987, c2=0.06555327989252392 ..................
[CV]  c1=0.13858209059433987, c2=0.06555327989252392, score=0.712784 -   1.1s
[CV] c1=0.1013123485859953, c2=0.09855228845169395 ...................
[CV]  c1=0.1013123485859953, c2=0.09855228845169395, score=0.772146 -   1.0s
[CV] c1=1.3271772042401357, c2=0.04095149222651653 ...................
[CV]  c1=1.3271772042401357, c2=0.04095149222651653, score=0.717918 -   1.3s
[CV] c1=0.05373692204258172, c2=0.0018638833670450783 ................
[CV]  c1=0.05373692204258172, c2=0.0018638833670450783, score=0.839055 -   1.4s
[CV] c1=1.5913675043804543, c2=0.032502294727982085 ..................
[CV]  c1=1.5913675043804543, c2=0.032502294727982085, score=0.678258 -   1.4s
[CV] c1=0.553304177613659, c2=0.1325847612486002 .....................
[CV]  c1=0.553304177613659, c2=0.1325847612486002, score=0.854224 -   1.4s
[CV] c1=0.21791241359440286, c2=0.07657852573052762 ..................
[CV]  c1=0.21791241359440286, c2=0.07657852573052762, score=0.815462 -   1.4s
[CV] c1=0.9749400316008822, c2=0.06956339053019714 ...................
[CV]  c1=0.9749400316008822, c2=0.06956339053019714, score=0.642384 -   1.5s
[CV] c1=0.1143333215387907, c2=0.04225209044626668 ...................
[CV]  c1=0.1143333215387907, c2=0.04225209044626668, score=0.787173 -   1.4s
[CV] c1=0.1453250429965574, c2=0.0266621191050822 ....................
[CV]  c1=0.1453250429965574, c2=0.0266621191050822, score=0.886279 -   1.5s
[CV] c1=0.19605052474539097, c2=0.004432784550053551 .................
[CV]  c1=0.19605052474539097, c2=0.004432784550053551, score=0.865479 -   1.3s
[CV] c1=0.12085102452052962, c2=0.029125817132466404 .................
[CV]  c1=0.12085102452052962, c2=0.029125817132466404, score=0.838026 -   1.6s
[CV] c1=1.1156406588404142, c2=0.01817615626891828 ...................
[CV]  c1=1.1156406588404142, c2=0.01817615626891828, score=0.848522 -   1.4s
[CV] c1=0.1013123485859953, c2=0.09855228845169395 ...................
[CV]  c1=0.1013123485859953, c2=0.09855228845169395, score=0.888779 -   1.1s
Training done in: 19.640535s
     Saving training model...
        Saving training model done in: 0.013184s
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Prediction done in: 0.033926s