-------------------------------- 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: 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: 0.003752s
-------------------------------- 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=0.2863914910773923, c2=0.05379812000359183 ...................
[CV]  c1=0.2863914910773923, c2=0.05379812000359183, score=0.785161 -   1.5s
[CV] c1=0.1601990570294624, c2=0.01146455500143851 ...................
[CV]  c1=0.1601990570294624, c2=0.01146455500143851, score=0.890093 -   1.4s
[CV] c1=1.803770888607243, c2=0.017829908395705522 ...................
[CV]  c1=1.803770888607243, c2=0.017829908395705522, score=0.621696 -   1.1s
[CV] c1=0.30446491082439014, c2=0.059823743675814535 .................
[CV]  c1=0.30446491082439014, c2=0.059823743675814535, score=0.863073 -   1.3s
[CV] c1=0.06382059590979446, c2=0.10838115420821987 ..................
[CV]  c1=0.06382059590979446, c2=0.10838115420821987, score=0.714780 -   1.1s
[CV] c1=0.7226406323298609, c2=0.026457086347010102 ..................
[CV]  c1=0.7226406323298609, c2=0.026457086347010102, score=0.697003 -   1.4s
[CV] c1=0.5039846048733737, c2=0.053618360248005995 ..................
[CV]  c1=0.5039846048733737, c2=0.053618360248005995, score=0.777855 -   1.5s
[CV] c1=0.4788348293335518, c2=0.20890931948778363 ...................
[CV]  c1=0.4788348293335518, c2=0.20890931948778363, score=0.781612 -   1.4s
[CV] c1=0.06525180016725521, c2=0.06246972340594279 ..................
[CV]  c1=0.06525180016725521, c2=0.06246972340594279, score=0.778218 -   1.4s
[CV] c1=1.2592209054162316, c2=0.006883064811326366 ..................
[CV]  c1=1.2592209054162316, c2=0.006883064811326366, score=0.608116 -   1.5s
[CV] c1=0.10022099462122394, c2=0.0950162771214905 ...................
[CV]  c1=0.10022099462122394, c2=0.0950162771214905, score=0.816957 -   1.4s
[CV] c1=0.17142724989337332, c2=0.018827134574193563 .................
[CV]  c1=0.17142724989337332, c2=0.018827134574193563, score=0.747852 -   1.1s
[CV] c1=0.17648634668672483, c2=0.03607970199483428 ..................
[CV]  c1=0.17648634668672483, c2=0.03607970199483428, score=0.787173 -   1.3s
[CV] c1=0.40002486993429165, c2=0.014750097646356188 .................
[CV]  c1=0.40002486993429165, c2=0.014750097646356188, score=0.840781 -   1.3s
[CV] c1=0.1306644220664251, c2=0.016563138360038206 ..................
[CV]  c1=0.1306644220664251, c2=0.016563138360038206, score=0.839855 -   1.3s
[CV] c1=0.16622513263705632, c2=0.06660142523965779 ..................
[CV]  c1=0.16622513263705632, c2=0.06660142523965779, score=0.796496 -   1.5s
[CV] c1=0.06382059590979446, c2=0.10838115420821987 ..................
[CV]  c1=0.06382059590979446, c2=0.10838115420821987, score=0.770362 -   1.4s
[CV] c1=0.0987623178638199, c2=0.013346103294013381 ..................
[CV]  c1=0.0987623178638199, c2=0.013346103294013381, score=0.805495 -   1.4s
[CV] c1=0.44228335190830687, c2=0.011927985426206553 .................
[CV]  c1=0.44228335190830687, c2=0.011927985426206553, score=0.889632 -   1.4s
[CV] c1=2.1427733346355473, c2=0.13155661305455563 ...................
[CV]  c1=2.1427733346355473, c2=0.13155661305455563, score=0.601833 -   1.1s
[CV] c1=0.06525180016725521, c2=0.06246972340594279 ..................
[CV]  c1=0.06525180016725521, c2=0.06246972340594279, score=0.860889 -   1.3s
[CV] c1=1.2592209054162316, c2=0.006883064811326366 ..................
[CV]  c1=1.2592209054162316, c2=0.006883064811326366, score=0.721127 -   1.3s
[CV] c1=0.5555049612242198, c2=0.01949740097828311 ...................
[CV]  c1=0.5555049612242198, c2=0.01949740097828311, score=0.806156 -   1.3s
[CV] c1=0.0583016415287126, c2=0.020665593231843214 ..................
[CV]  c1=0.0583016415287126, c2=0.020665593231843214, score=0.817098 -   1.4s
[CV] c1=0.05482585374314949, c2=0.11447115823584891 ..................
[CV]  c1=0.05482585374314949, c2=0.11447115823584891, score=0.859963 -   1.4s
[CV] c1=1.570634678937903, c2=0.018043334846328835 ...................
[CV]  c1=1.570634678937903, c2=0.018043334846328835, score=0.733449 -   1.4s
[CV] c1=1.803770888607243, c2=0.017829908395705522 ...................
[CV]  c1=1.803770888607243, c2=0.017829908395705522, score=0.796111 -   1.4s
[CV] c1=0.47627992238928035, c2=0.024417139877904476 .................
[CV]  c1=0.47627992238928035, c2=0.024417139877904476, score=0.733621 -   1.4s
[CV] c1=0.46483284080671944, c2=0.07067378737184596 ..................
[CV]  c1=0.46483284080671944, c2=0.07067378737184596, score=0.751831 -   1.1s
[CV] c1=0.7482424595736944, c2=0.04750896151833328 ...................
[CV]  c1=0.7482424595736944, c2=0.04750896151833328, score=0.800298 -   1.4s
[CV] c1=0.44228335190830687, c2=0.011927985426206553 .................
[CV]  c1=0.44228335190830687, c2=0.011927985426206553, score=0.863073 -   1.3s
[CV] c1=2.1427733346355473, c2=0.13155661305455563 ...................
[CV]  c1=2.1427733346355473, c2=0.13155661305455563, score=0.692127 -   1.3s
[CV] c1=0.6629490849455435, c2=0.018483806230725645 ..................
[CV]  c1=0.6629490849455435, c2=0.018483806230725645, score=0.764730 -   1.3s
[CV] c1=0.09642819998322377, c2=0.0021189944523881525 ................
[CV]  c1=0.09642819998322377, c2=0.0021189944523881525, score=0.783939 -   1.4s
[CV] c1=0.04016445144780082, c2=0.12008491997075905 ..................
[CV]  c1=0.04016445144780082, c2=0.12008491997075905, score=0.888779 -   1.3s
[CV] c1=0.027109334227430018, c2=0.017102814321348008 ................
[CV]  c1=0.027109334227430018, c2=0.017102814321348008, score=0.817098 -   1.4s
[CV] c1=1.5805201344184232, c2=0.04381005450556944 ...................
[CV]  c1=1.5805201344184232, c2=0.04381005450556944, score=0.705925 -   1.4s
[CV] c1=0.8433132461182008, c2=0.09517053537049608 ...................
[CV]  c1=0.8433132461182008, c2=0.09517053537049608, score=0.763585 -   1.3s
[CV] c1=0.20541938900741277, c2=0.00920419922052009 ..................
[CV]  c1=0.20541938900741277, c2=0.00920419922052009, score=0.882777 -   1.3s
[CV] c1=0.2525169724369638, c2=0.040729160783871204 ..................
[CV]  c1=0.2525169724369638, c2=0.040729160783871204, score=0.773253 -   1.1s
[CV] c1=0.11756552167058294, c2=0.06105902223384174 ..................
[CV]  c1=0.11756552167058294, c2=0.06105902223384174, score=0.828690 -   1.4s
[CV] c1=0.04204439788198132, c2=0.106297889425182 ....................
[CV]  c1=0.04204439788198132, c2=0.106297889425182, score=0.739739 -   1.2s
[CV] c1=0.44228335190830687, c2=0.011927985426206553 .................
[CV]  c1=0.44228335190830687, c2=0.011927985426206553, score=0.777726 -   1.1s
[CV] c1=0.4788348293335518, c2=0.20890931948778363 ...................
[CV]  c1=0.4788348293335518, c2=0.20890931948778363, score=0.683546 -   1.5s
[CV] c1=0.6629490849455435, c2=0.018483806230725645 ..................
[CV]  c1=0.6629490849455435, c2=0.018483806230725645, score=0.858526 -   1.4s
[CV] c1=0.09642819998322377, c2=0.0021189944523881525 ................
[CV]  c1=0.09642819998322377, c2=0.0021189944523881525, score=0.880053 -   1.3s
[CV] c1=0.10022099462122394, c2=0.0950162771214905 ...................
[CV]  c1=0.10022099462122394, c2=0.0950162771214905, score=0.888779 -   1.5s
[CV] c1=0.17142724989337332, c2=0.018827134574193563 .................
[CV]  c1=0.17142724989337332, c2=0.018827134574193563, score=0.887720 -   1.4s
[CV] c1=0.2863914910773923, c2=0.05379812000359183 ...................
[CV]  c1=0.2863914910773923, c2=0.05379812000359183, score=0.892637 -   1.5s
[CV] c1=1.570634678937903, c2=0.018043334846328835 ...................
[CV]  c1=1.570634678937903, c2=0.018043334846328835, score=0.612723 -   1.4s
[CV] c1=0.0014007687959468043, c2=0.029146873759849784 ...............
[CV]  c1=0.0014007687959468043, c2=0.029146873759849784, score=0.817098 -   1.4s
[CV] c1=0.47627992238928035, c2=0.024417139877904476 .................
[CV]  c1=0.47627992238928035, c2=0.024417139877904476, score=0.883630 -   1.4s
[CV] c1=0.525565890904883, c2=0.0719042719199214 .....................
[CV]  c1=0.525565890904883, c2=0.0719042719199214, score=0.703843 -   1.2s
[CV] c1=0.7482424595736944, c2=0.04750896151833328 ...................
[CV]  c1=0.7482424595736944, c2=0.04750896151833328, score=0.763444 -   1.4s
[CV] c1=0.24700462000632087, c2=0.021608469940653626 .................
[CV]  c1=0.24700462000632087, c2=0.021608469940653626, score=0.778446 -   1.4s
[CV] c1=0.08181646052226943, c2=0.028102939600178886 .................
[CV]  c1=0.08181646052226943, c2=0.028102939600178886, score=0.791233 -   1.4s
[CV] c1=0.2900227147515763, c2=0.12234796607789651 ...................
[CV]  c1=0.2900227147515763, c2=0.12234796607789651, score=0.840890 -   1.3s
[CV] c1=0.11468804921540494, c2=0.038988500932730354 .................
[CV]  c1=0.11468804921540494, c2=0.038988500932730354, score=0.754302 -   1.2s
[CV] c1=0.04016445144780082, c2=0.12008491997075905 ..................
[CV]  c1=0.04016445144780082, c2=0.12008491997075905, score=0.737289 -   1.1s
[CV] c1=0.027109334227430018, c2=0.017102814321348008 ................
[CV]  c1=0.027109334227430018, c2=0.017102814321348008, score=0.890620 -   1.4s
[CV] c1=0.9368034719922499, c2=0.0025089438446633224 .................
[CV]  c1=0.9368034719922499, c2=0.0025089438446633224, score=0.713611 -   1.1s
[CV] c1=0.30381515902976225, c2=0.09831041700121933 ..................
[CV]  c1=0.30381515902976225, c2=0.09831041700121933, score=0.877954 -   1.4s
[CV] c1=0.2982843571049439, c2=0.10155309179127057 ...................
[CV]  c1=0.2982843571049439, c2=0.10155309179127057, score=0.880342 -   1.5s
[CV] c1=0.13262360893253158, c2=0.06238113957818817 ..................
[CV]  c1=0.13262360893253158, c2=0.06238113957818817, score=0.787173 -   1.4s
[CV] c1=0.132594137765913, c2=0.1932260373103926 .....................
[CV]  c1=0.132594137765913, c2=0.1932260373103926, score=0.750674 -   1.5s
[CV] c1=0.7226406323298609, c2=0.026457086347010102 ..................
[CV]  c1=0.7226406323298609, c2=0.026457086347010102, score=0.803540 -   1.4s
[CV] c1=0.5039846048733737, c2=0.053618360248005995 ..................
[CV]  c1=0.5039846048733737, c2=0.053618360248005995, score=0.712543 -   1.5s
[CV] c1=0.4788348293335518, c2=0.20890931948778363 ...................
[CV]  c1=0.4788348293335518, c2=0.20890931948778363, score=0.860995 -   1.4s
[CV] c1=0.06525180016725521, c2=0.06246972340594279 ..................
[CV]  c1=0.06525180016725521, c2=0.06246972340594279, score=0.816957 -   1.5s
[CV] c1=0.17310253174773785, c2=0.013679755817311505 .................
[CV]  c1=0.17310253174773785, c2=0.013679755817311505, score=0.887720 -   1.5s
[CV] c1=0.04016445144780082, c2=0.12008491997075905 ..................
[CV]  c1=0.04016445144780082, c2=0.12008491997075905, score=0.770362 -   1.5s
[CV] c1=0.3664147805296689, c2=0.05566510545039502 ...................
[CV]  c1=0.3664147805296689, c2=0.05566510545039502, score=0.783854 -   1.1s
[CV] c1=1.024215232230876, c2=0.010723858408681996 ...................
[CV]  c1=1.024215232230876, c2=0.010723858408681996, score=0.649070 -   1.4s
[CV] c1=0.8433132461182008, c2=0.09517053537049608 ...................
[CV]  c1=0.8433132461182008, c2=0.09517053537049608, score=0.833393 -   1.4s
[CV] c1=0.20541938900741277, c2=0.00920419922052009 ..................
[CV]  c1=0.20541938900741277, c2=0.00920419922052009, score=0.790857 -   1.3s
[CV] c1=0.2525169724369638, c2=0.040729160783871204 ..................
[CV]  c1=0.2525169724369638, c2=0.040729160783871204, score=0.863073 -   1.3s
[CV] c1=0.46483284080671944, c2=0.07067378737184596 ..................
[CV]  c1=0.46483284080671944, c2=0.07067378737184596, score=0.865691 -   1.4s
[CV] c1=0.22930696198841502, c2=0.0684448161256653 ...................
[CV]  c1=0.22930696198841502, c2=0.0684448161256653, score=0.779123 -   1.4s
[CV] c1=0.0975619496346382, c2=0.05120269989019732 ...................
[CV]  c1=0.0975619496346382, c2=0.05120269989019732, score=0.859063 -   1.2s
[CV] c1=0.10544956447310622, c2=0.030458619689993784 .................
[CV]  c1=0.10544956447310622, c2=0.030458619689993784, score=0.888779 -   1.4s
[CV] c1=0.4355605335331868, c2=0.0370029176816833 ....................
[CV]  c1=0.4355605335331868, c2=0.0370029176816833, score=0.831109 -   1.2s
[CV] c1=0.11468804921540494, c2=0.038988500932730354 .................
[CV]  c1=0.11468804921540494, c2=0.038988500932730354, score=0.860889 -   1.3s
[CV] c1=0.10826355392915359, c2=0.007378310194117841 .................
[CV]  c1=0.10826355392915359, c2=0.007378310194117841, score=0.786029 -   1.1s
[CV] c1=0.17142724989337332, c2=0.018827134574193563 .................
[CV]  c1=0.17142724989337332, c2=0.018827134574193563, score=0.790857 -   1.3s
[CV] c1=1.024215232230876, c2=0.010723858408681996 ...................
[CV]  c1=1.024215232230876, c2=0.010723858408681996, score=0.661168 -   1.1s
[CV] c1=0.2097750669262128, c2=0.03315704654727312 ...................
[CV]  c1=0.2097750669262128, c2=0.03315704654727312, score=0.860889 -   1.3s
[CV] c1=0.2083372783245812, c2=0.02213138454038946 ...................
[CV]  c1=0.2083372783245812, c2=0.02213138454038946, score=0.862404 -   1.4s
[CV] c1=0.30446491082439014, c2=0.059823743675814535 .................
[CV]  c1=0.30446491082439014, c2=0.059823743675814535, score=0.799002 -   1.4s
[CV] c1=0.06382059590979446, c2=0.10838115420821987 ..................
[CV]  c1=0.06382059590979446, c2=0.10838115420821987, score=0.817408 -   1.4s
[CV] c1=0.7482424595736944, c2=0.04750896151833328 ...................
[CV]  c1=0.7482424595736944, c2=0.04750896151833328, score=0.843119 -   1.5s
[CV] c1=0.44228335190830687, c2=0.011927985426206553 .................
[CV]  c1=0.44228335190830687, c2=0.011927985426206553, score=0.804012 -   1.4s
[CV] c1=0.08181646052226943, c2=0.028102939600178886 .................
[CV]  c1=0.08181646052226943, c2=0.028102939600178886, score=0.886366 -   1.4s
[CV] c1=0.2900227147515763, c2=0.12234796607789651 ...................
[CV]  c1=0.2900227147515763, c2=0.12234796607789651, score=0.710717 -   1.1s
[CV] c1=0.09642819998322377, c2=0.0021189944523881525 ................
[CV]  c1=0.09642819998322377, c2=0.0021189944523881525, score=0.819145 -   1.3s
[CV] c1=0.10022099462122394, c2=0.0950162771214905 ...................
[CV]  c1=0.10022099462122394, c2=0.0950162771214905, score=0.860889 -   1.4s
[CV] c1=0.027109334227430018, c2=0.017102814321348008 ................
[CV]  c1=0.027109334227430018, c2=0.017102814321348008, score=0.853772 -   1.3s
[CV] c1=0.9368034719922499, c2=0.0025089438446633224 .................
[CV]  c1=0.9368034719922499, c2=0.0025089438446633224, score=0.799309 -   1.1s
[CV] c1=0.7280261290277688, c2=0.04221188258994752 ...................
[CV]  c1=0.7280261290277688, c2=0.04221188258994752, score=0.798452 -   1.3s
[CV] c1=1.1815724109440133, c2=0.08018626629148518 ...................
[CV]  c1=1.1815724109440133, c2=0.08018626629148518, score=0.703634 -   1.4s
[CV] c1=0.7004069139326398, c2=0.041951073059733834 ..................
[CV]  c1=0.7004069139326398, c2=0.041951073059733834, score=0.801135 -   1.4s
[CV] c1=1.9451597521714612, c2=0.02491543984439613 ...................
[CV]  c1=1.9451597521714612, c2=0.02491543984439613, score=0.543053 -   1.7s
[CV] c1=0.7226406323298609, c2=0.026457086347010102 ..................
[CV]  c1=0.7226406323298609, c2=0.026457086347010102, score=0.872836 -   1.5s
[CV] c1=1.1415005390392259, c2=0.005634198460521871 ..................
[CV]  c1=1.1415005390392259, c2=0.005634198460521871, score=0.843829 -   1.4s
[CV] c1=0.4788348293335518, c2=0.20890931948778363 ...................
[CV]  c1=0.4788348293335518, c2=0.20890931948778363, score=0.693545 -   1.2s
[CV] c1=0.9467108975892513, c2=0.001898144296303194 ..................
[CV]  c1=0.9467108975892513, c2=0.001898144296303194, score=0.701236 -   1.5s
[CV] c1=1.2592209054162316, c2=0.006883064811326366 ..................
[CV]  c1=1.2592209054162316, c2=0.006883064811326366, score=0.614791 -   1.6s
[CV] c1=0.10022099462122394, c2=0.0950162771214905 ...................
[CV]  c1=0.10022099462122394, c2=0.0950162771214905, score=0.781836 -   1.4s
[CV] c1=0.027109334227430018, c2=0.017102814321348008 ................
[CV]  c1=0.027109334227430018, c2=0.017102814321348008, score=0.803138 -   1.4s
[CV] c1=0.17648634668672483, c2=0.03607970199483428 ..................
[CV]  c1=0.17648634668672483, c2=0.03607970199483428, score=0.782270 -   1.1s
[CV] c1=0.30381515902976225, c2=0.09831041700121933 ..................
[CV]  c1=0.30381515902976225, c2=0.09831041700121933, score=0.814064 -   1.5s
[CV] c1=0.222922487241942, c2=0.06586005339032518 ....................
[CV]  c1=0.222922487241942, c2=0.06586005339032518, score=0.764407 -   1.1s
[CV] c1=0.13262360893253158, c2=0.06238113957818817 ..................
[CV]  c1=0.13262360893253158, c2=0.06238113957818817, score=0.888779 -   1.3s
[CV] c1=0.132594137765913, c2=0.1932260373103926 .....................
[CV]  c1=0.132594137765913, c2=0.1932260373103926, score=0.877941 -   1.4s
[CV] c1=0.054863032202863656, c2=0.030593179445252396 ................
[CV]  c1=0.054863032202863656, c2=0.030593179445252396, score=0.877870 -   1.4s
[CV] c1=0.4935576337807269, c2=0.3027725721346936 ....................
[CV]  c1=0.4935576337807269, c2=0.3027725721346936, score=0.633749 -   1.1s
[CV] c1=0.0975619496346382, c2=0.05120269989019732 ...................
[CV]  c1=0.0975619496346382, c2=0.05120269989019732, score=0.796496 -   1.4s
[CV] c1=0.5893365020907148, c2=0.0047169582893278215 .................
[CV]  c1=0.5893365020907148, c2=0.0047169582893278215, score=0.742965 -   1.1s
[CV] c1=0.2900227147515763, c2=0.12234796607789651 ...................
[CV]  c1=0.2900227147515763, c2=0.12234796607789651, score=0.756587 -   1.4s
[CV] c1=0.7330329473634538, c2=0.03203528384557965 ...................
[CV]  c1=0.7330329473634538, c2=0.03203528384557965, score=0.858949 -   1.3s
[CV] c1=0.10826355392915359, c2=0.007378310194117841 .................
[CV]  c1=0.10826355392915359, c2=0.007378310194117841, score=0.861157 -   1.3s
[CV] c1=0.3664147805296689, c2=0.05566510545039502 ...................
[CV]  c1=0.3664147805296689, c2=0.05566510545039502, score=0.851617 -   1.2s
[CV] c1=0.05482585374314949, c2=0.11447115823584891 ..................
[CV]  c1=0.05482585374314949, c2=0.11447115823584891, score=0.817849 -   1.4s
[CV] c1=0.1601990570294624, c2=0.01146455500143851 ...................
[CV]  c1=0.1601990570294624, c2=0.01146455500143851, score=0.862404 -   1.3s
[CV] c1=1.803770888607243, c2=0.017829908395705522 ...................
[CV]  c1=1.803770888607243, c2=0.017829908395705522, score=0.594918 -   1.4s
[CV] c1=0.47627992238928035, c2=0.024417139877904476 .................
[CV]  c1=0.47627992238928035, c2=0.024417139877904476, score=0.826708 -   1.3s
[CV] c1=0.525565890904883, c2=0.0719042719199214 .....................
[CV]  c1=0.525565890904883, c2=0.0719042719199214, score=0.701098 -   1.4s
[CV] c1=0.04204439788198132, c2=0.106297889425182 ....................
[CV]  c1=0.04204439788198132, c2=0.106297889425182, score=0.772105 -   1.4s
[CV] c1=0.0975619496346382, c2=0.05120269989019732 ...................
[CV]  c1=0.0975619496346382, c2=0.05120269989019732, score=0.742333 -   1.1s
[CV] c1=2.1427733346355473, c2=0.13155661305455563 ...................
[CV]  c1=2.1427733346355473, c2=0.13155661305455563, score=0.543037 -   1.4s
[CV] c1=0.24068853152456451, c2=0.026640803618644335 .................
[CV]  c1=0.24068853152456451, c2=0.026640803618644335, score=0.809809 -   1.3s
[CV] c1=0.17310253174773785, c2=0.013679755817311505 .................
[CV]  c1=0.17310253174773785, c2=0.013679755817311505, score=0.863073 -   1.4s
[CV] c1=0.04016445144780082, c2=0.12008491997075905 ..................
[CV]  c1=0.04016445144780082, c2=0.12008491997075905, score=0.857408 -   1.3s
[CV] c1=0.17142724989337332, c2=0.018827134574193563 .................
[CV]  c1=0.17142724989337332, c2=0.018827134574193563, score=0.863073 -   1.3s
[CV] c1=0.2863914910773923, c2=0.05379812000359183 ...................
[CV]  c1=0.2863914910773923, c2=0.05379812000359183, score=0.796580 -   1.5s
[CV] c1=1.570634678937903, c2=0.018043334846328835 ...................
[CV]  c1=1.570634678937903, c2=0.018043334846328835, score=0.806376 -   1.4s
[CV] c1=0.0014007687959468043, c2=0.029146873759849784 ...............
[CV]  c1=0.0014007687959468043, c2=0.029146873759849784, score=0.748646 -   1.1s
[CV] c1=0.16622513263705632, c2=0.06660142523965779 ..................
[CV]  c1=0.16622513263705632, c2=0.06660142523965779, score=0.761393 -   1.1s
[CV] c1=0.132594137765913, c2=0.1932260373103926 .....................
[CV]  c1=0.132594137765913, c2=0.1932260373103926, score=0.851375 -   1.3s
[CV] c1=0.054863032202863656, c2=0.030593179445252396 ................
[CV]  c1=0.054863032202863656, c2=0.030593179445252396, score=0.771509 -   1.1s
[CV] c1=0.7003176055188376, c2=0.03572520832827899 ...................
[CV]  c1=0.7003176055188376, c2=0.03572520832827899, score=0.697113 -   1.3s
[CV] c1=0.01404065236533277, c2=0.06075033850953037 ..................
[CV]  c1=0.01404065236533277, c2=0.06075033850953037, score=0.800656 -   1.4s
[CV] c1=0.5893365020907148, c2=0.0047169582893278215 .................
[CV]  c1=0.5893365020907148, c2=0.0047169582893278215, score=0.808059 -   1.3s
[CV] c1=0.6029450741373666, c2=0.029356878584417198 ..................
[CV]  c1=0.6029450741373666, c2=0.029356878584417198, score=0.700407 -   1.2s
[CV] c1=0.7330329473634538, c2=0.03203528384557965 ...................
[CV]  c1=0.7330329473634538, c2=0.03203528384557965, score=0.697509 -   1.2s
[CV] c1=0.04016445144780082, c2=0.12008491997075905 ..................
[CV]  c1=0.04016445144780082, c2=0.12008491997075905, score=0.817398 -   1.3s
[CV] c1=0.3664147805296689, c2=0.05566510545039502 ...................
[CV]  c1=0.3664147805296689, c2=0.05566510545039502, score=0.883465 -   1.4s
[CV] c1=0.04207425524257056, c2=0.08654392719907084 ..................
[CV]  c1=0.04207425524257056, c2=0.08654392719907084, score=0.860889 -   1.1s
[CV] c1=0.30381515902976225, c2=0.09831041700121933 ..................
[CV]  c1=0.30381515902976225, c2=0.09831041700121933, score=0.849246 -   1.3s
[CV] c1=0.2982843571049439, c2=0.10155309179127057 ...................
[CV]  c1=0.2982843571049439, c2=0.10155309179127057, score=0.743718 -   1.5s
[CV] c1=0.13262360893253158, c2=0.06238113957818817 ..................
[CV]  c1=0.13262360893253158, c2=0.06238113957818817, score=0.820360 -   1.4s
[CV] c1=0.19864841966928748, c2=0.08952978247794793 ..................
[CV]  c1=0.19864841966928748, c2=0.08952978247794793, score=0.779123 -   1.5s
[CV] c1=0.33060666134623523, c2=0.09994432190078227 ..................
[CV]  c1=0.33060666134623523, c2=0.09994432190078227, score=0.889051 -   1.6s
[CV] c1=1.0420518667050525, c2=0.0448797474669106 ....................
[CV]  c1=1.0420518667050525, c2=0.0448797474669106, score=0.641632 -   1.5s
[CV] c1=2.1427733346355473, c2=0.13155661305455563 ...................
[CV]  c1=2.1427733346355473, c2=0.13155661305455563, score=0.595441 -   1.6s
[CV] c1=0.4355605335331868, c2=0.0370029176816833 ....................
[CV]  c1=0.4355605335331868, c2=0.0370029176816833, score=0.747442 -   1.2s
[CV] c1=0.11468804921540494, c2=0.038988500932730354 .................
[CV]  c1=0.11468804921540494, c2=0.038988500932730354, score=0.886987 -   1.4s
[CV] c1=0.10826355392915359, c2=0.007378310194117841 .................
[CV]  c1=0.10826355392915359, c2=0.007378310194117841, score=0.878556 -   1.3s
[CV] c1=0.3664147805296689, c2=0.05566510545039502 ...................
[CV]  c1=0.3664147805296689, c2=0.05566510545039502, score=0.749243 -   1.3s
[CV] c1=0.2863914910773923, c2=0.05379812000359183 ...................
[CV]  c1=0.2863914910773923, c2=0.05379812000359183, score=0.753977 -   1.1s
[CV] c1=0.310972421624165, c2=0.004445247865886668 ...................
[CV]  c1=0.310972421624165, c2=0.004445247865886668, score=0.801479 -   1.4s
[CV] c1=0.1306644220664251, c2=0.016563138360038206 ..................
[CV]  c1=0.1306644220664251, c2=0.016563138360038206, score=0.790857 -   1.3s
[CV] c1=0.16622513263705632, c2=0.06660142523965779 ..................
[CV]  c1=0.16622513263705632, c2=0.06660142523965779, score=0.779123 -   1.4s
[CV] c1=0.844138550970456, c2=0.08267295539960243 ....................
[CV]  c1=0.844138550970456, c2=0.08267295539960243, score=0.788676 -   1.3s
[CV] c1=0.33060666134623523, c2=0.09994432190078227 ..................
[CV]  c1=0.33060666134623523, c2=0.09994432190078227, score=0.741249 -   1.4s
[CV] c1=1.1415005390392259, c2=0.005634198460521871 ..................
[CV]  c1=1.1415005390392259, c2=0.005634198460521871, score=0.631244 -   1.4s
[CV] c1=0.024743861752636747, c2=0.013809722382129254 ................
[CV]  c1=0.024743861752636747, c2=0.013809722382129254, score=0.817618 -   1.4s
[CV] c1=0.6629490849455435, c2=0.018483806230725645 ..................
[CV]  c1=0.6629490849455435, c2=0.018483806230725645, score=0.769546 -   1.5s
[CV] c1=0.17310253174773785, c2=0.013679755817311505 .................
[CV]  c1=0.17310253174773785, c2=0.013679755817311505, score=0.790857 -   1.6s
[CV] c1=1.4655363361202731, c2=0.03315695519244756 ...................
[CV]  c1=1.4655363361202731, c2=0.03315695519244756, score=0.813795 -   1.3s
[CV] c1=0.9446217626884849, c2=0.037279030558000935 ..................
[CV]  c1=0.9446217626884849, c2=0.037279030558000935, score=0.641519 -   1.1s
[CV] c1=1.5805201344184232, c2=0.04381005450556944 ...................
[CV]  c1=1.5805201344184232, c2=0.04381005450556944, score=0.553440 -   1.5s
[CV] c1=1.1815724109440133, c2=0.08018626629148518 ...................
[CV]  c1=1.1815724109440133, c2=0.08018626629148518, score=0.835864 -   1.3s
[CV] c1=0.20541938900741277, c2=0.00920419922052009 ..................
[CV]  c1=0.20541938900741277, c2=0.00920419922052009, score=0.796160 -   1.5s
[CV] c1=1.9451597521714612, c2=0.02491543984439613 ...................
[CV]  c1=1.9451597521714612, c2=0.02491543984439613, score=0.588860 -   1.1s
[CV] c1=0.525565890904883, c2=0.0719042719199214 .....................
[CV]  c1=0.525565890904883, c2=0.0719042719199214, score=0.759705 -   1.3s
[CV] c1=0.04204439788198132, c2=0.106297889425182 ....................
[CV]  c1=0.04204439788198132, c2=0.106297889425182, score=0.859963 -   1.3s
[CV] c1=0.24700462000632087, c2=0.021608469940653626 .................
[CV]  c1=0.24700462000632087, c2=0.021608469940653626, score=0.853597 -   1.4s
[CV] c1=0.08181646052226943, c2=0.028102939600178886 .................
[CV]  c1=0.08181646052226943, c2=0.028102939600178886, score=0.855598 -   1.4s
[CV] c1=0.2900227147515763, c2=0.12234796607789651 ...................
[CV]  c1=0.2900227147515763, c2=0.12234796607789651, score=0.799868 -   1.5s
[CV] c1=0.7330329473634538, c2=0.03203528384557965 ...................
[CV]  c1=0.7330329473634538, c2=0.03203528384557965, score=0.769937 -   1.4s
[CV] c1=0.004072613835287031, c2=0.052257092620452805 ................
[CV]  c1=0.004072613835287031, c2=0.052257092620452805, score=0.878472 -   1.3s
[CV] c1=0.8329593072544564, c2=0.034676875895050446 ..................
[CV]  c1=0.8329593072544564, c2=0.034676875895050446, score=0.684865 -   1.0s
[CV] c1=0.3167551225283025, c2=0.0031522711173749204 .................
[CV]  c1=0.3167551225283025, c2=0.0031522711173749204, score=0.861227 -   1.3s
[CV] c1=0.40002486993429165, c2=0.014750097646356188 .................
[CV]  c1=0.40002486993429165, c2=0.014750097646356188, score=0.885579 -   1.3s
[CV] c1=0.222922487241942, c2=0.06586005339032518 ....................
[CV]  c1=0.222922487241942, c2=0.06586005339032518, score=0.793341 -   1.5s
[CV] c1=0.30446491082439014, c2=0.059823743675814535 .................
[CV]  c1=0.30446491082439014, c2=0.059823743675814535, score=0.894078 -   1.5s
[CV] c1=0.11756552167058294, c2=0.06105902223384174 ..................
[CV]  c1=0.11756552167058294, c2=0.06105902223384174, score=0.883574 -   1.4s
[CV] c1=0.7482424595736944, c2=0.04750896151833328 ...................
[CV]  c1=0.7482424595736944, c2=0.04750896151833328, score=0.688813 -   1.4s
[CV] c1=0.24700462000632087, c2=0.021608469940653626 .................
[CV]  c1=0.24700462000632087, c2=0.021608469940653626, score=0.887720 -   1.6s
[CV] c1=0.10544956447310622, c2=0.030458619689993784 .................
[CV]  c1=0.10544956447310622, c2=0.030458619689993784, score=0.863073 -   1.3s
[CV] c1=0.4355605335331868, c2=0.0370029176816833 ....................
[CV]  c1=0.4355605335331868, c2=0.0370029176816833, score=0.737779 -   1.4s
[CV] c1=0.5358701603991017, c2=0.019683399497033235 ..................
[CV]  c1=0.5358701603991017, c2=0.019683399497033235, score=0.884529 -   1.4s
[CV] c1=0.004072613835287031, c2=0.052257092620452805 ................
[CV]  c1=0.004072613835287031, c2=0.052257092620452805, score=0.758535 -   1.1s
[CV] c1=0.3664147805296689, c2=0.05566510545039502 ...................
[CV]  c1=0.3664147805296689, c2=0.05566510545039502, score=0.796183 -   1.3s
[CV] c1=1.024215232230876, c2=0.010723858408681996 ...................
[CV]  c1=1.024215232230876, c2=0.010723858408681996, score=0.640041 -   1.4s
[CV] c1=0.8433132461182008, c2=0.09517053537049608 ...................
[CV]  c1=0.8433132461182008, c2=0.09517053537049608, score=0.686400 -   1.1s
[CV] c1=0.0014007687959468043, c2=0.029146873759849784 ...............
[CV]  c1=0.0014007687959468043, c2=0.029146873759849784, score=0.851571 -   1.3s
[CV] c1=0.07344259464808688, c2=0.06111155223395675 ..................
[CV]  c1=0.07344259464808688, c2=0.06111155223395675, score=0.781836 -   1.4s
[CV] c1=0.525565890904883, c2=0.0719042719199214 .....................
[CV]  c1=0.525565890904883, c2=0.0719042719199214, score=0.868466 -   1.4s
[CV] c1=0.04204439788198132, c2=0.106297889425182 ....................
[CV]  c1=0.04204439788198132, c2=0.106297889425182, score=0.770362 -   1.4s
[CV] c1=0.0975619496346382, c2=0.05120269989019732 ...................
[CV]  c1=0.0975619496346382, c2=0.05120269989019732, score=0.888779 -   1.4s
[CV] c1=0.10544956447310622, c2=0.030458619689993784 .................
[CV]  c1=0.10544956447310622, c2=0.030458619689993784, score=0.759010 -   1.1s
[CV] c1=0.24068853152456451, c2=0.026640803618644335 .................
[CV]  c1=0.24068853152456451, c2=0.026640803618644335, score=0.787173 -   1.6s
[CV] c1=0.11468804921540494, c2=0.038988500932730354 .................
[CV]  c1=0.11468804921540494, c2=0.038988500932730354, score=0.828690 -   1.4s
[CV] c1=1.4655363361202731, c2=0.03315695519244756 ...................
[CV]  c1=1.4655363361202731, c2=0.03315695519244756, score=0.612763 -   1.1s
[CV] c1=0.17142724989337332, c2=0.018827134574193563 .................
[CV]  c1=0.17142724989337332, c2=0.018827134574193563, score=0.809809 -   1.4s
[CV] c1=0.9368034719922499, c2=0.0025089438446633224 .................
[CV]  c1=0.9368034719922499, c2=0.0025089438446633224, score=0.702598 -   0.8s
[CV] c1=0.7280261290277688, c2=0.04221188258994752 ...................
[CV]  c1=0.7280261290277688, c2=0.04221188258994752, score=0.852572 -   1.5s
[CV] c1=1.1815724109440133, c2=0.08018626629148518 ...................
[CV]  c1=1.1815724109440133, c2=0.08018626629148518, score=0.678537 -   1.1s
[CV] c1=1.803770888607243, c2=0.017829908395705522 ...................
[CV]  c1=1.803770888607243, c2=0.017829908395705522, score=0.546762 -   1.4s
[CV] c1=0.2525169724369638, c2=0.040729160783871204 ..................
[CV]  c1=0.2525169724369638, c2=0.040729160783871204, score=0.785161 -   1.5s
[CV] c1=0.4554921118196488, c2=0.010981048142957927 ..................
[CV]  c1=0.4554921118196488, c2=0.010981048142957927, score=0.750218 -   1.5s
[CV] c1=0.7003176055188376, c2=0.03572520832827899 ...................
[CV]  c1=0.7003176055188376, c2=0.03572520832827899, score=0.798452 -   1.3s
[CV] c1=0.01404065236533277, c2=0.06075033850953037 ..................
[CV]  c1=0.01404065236533277, c2=0.06075033850953037, score=0.816957 -   1.5s
[CV] c1=0.6460866234474063, c2=0.02433509713522331 ...................
[CV]  c1=0.6460866234474063, c2=0.02433509713522331, score=0.707019 -   1.2s
[CV] c1=0.6029450741373666, c2=0.029356878584417198 ..................
[CV]  c1=0.6029450741373666, c2=0.029356878584417198, score=0.760202 -   1.4s
[CV] c1=0.029512593950986297, c2=0.04426408243014664 .................
[CV]  c1=0.029512593950986297, c2=0.04426408243014664, score=0.771797 -   1.5s
[CV] c1=0.08514846862945086, c2=0.04454076198842591 ..................
[CV]  c1=0.08514846862945086, c2=0.04454076198842591, score=0.888647 -   1.4s
[CV] c1=0.9769027085878031, c2=0.0387943614563358 ....................
[CV]  c1=0.9769027085878031, c2=0.0387943614563358, score=0.655862 -   0.8s
[CV] c1=0.3167551225283025, c2=0.0031522711173749204 .................
[CV]  c1=0.3167551225283025, c2=0.0031522711173749204, score=0.801479 -   1.2s
[CV] c1=0.310972421624165, c2=0.004445247865886668 ...................
[CV]  c1=0.310972421624165, c2=0.004445247865886668, score=0.747969 -   1.1s
[CV] c1=0.2982843571049439, c2=0.10155309179127057 ...................
[CV]  c1=0.2982843571049439, c2=0.10155309179127057, score=0.705088 -   1.2s
[CV] c1=0.7004069139326398, c2=0.041951073059733834 ..................
[CV]  c1=0.7004069139326398, c2=0.041951073059733834, score=0.735593 -   1.1s
[CV] c1=0.2525169724369638, c2=0.040729160783871204 ..................
[CV]  c1=0.2525169724369638, c2=0.040729160783871204, score=0.892682 -   1.4s
[CV] c1=0.46483284080671944, c2=0.07067378737184596 ..................
[CV]  c1=0.46483284080671944, c2=0.07067378737184596, score=0.836471 -   1.3s
[CV] c1=0.22930696198841502, c2=0.0684448161256653 ...................
[CV]  c1=0.22930696198841502, c2=0.0684448161256653, score=0.890819 -   1.4s
[CV] c1=0.0975619496346382, c2=0.05120269989019732 ...................
[CV]  c1=0.0975619496346382, c2=0.05120269989019732, score=0.779447 -   1.4s
[CV] c1=0.10544956447310622, c2=0.030458619689993784 .................
[CV]  c1=0.10544956447310622, c2=0.030458619689993784, score=0.796496 -   1.4s
[CV] c1=0.6029450741373666, c2=0.029356878584417198 ..................
[CV]  c1=0.6029450741373666, c2=0.029356878584417198, score=0.858221 -   1.5s
[CV] c1=0.5358701603991017, c2=0.019683399497033235 ..................
[CV]  c1=0.5358701603991017, c2=0.019683399497033235, score=0.742473 -   1.2s
[CV] c1=0.10826355392915359, c2=0.007378310194117841 .................
[CV]  c1=0.10826355392915359, c2=0.007378310194117841, score=0.827156 -   1.4s
[CV] c1=0.9446217626884849, c2=0.037279030558000935 ..................
[CV]  c1=0.9446217626884849, c2=0.037279030558000935, score=0.679787 -   1.4s
[CV] c1=0.04207425524257056, c2=0.08654392719907084 ..................
[CV]  c1=0.04207425524257056, c2=0.08654392719907084, score=0.770362 -   1.4s
[CV] c1=0.310972421624165, c2=0.004445247865886668 ...................
[CV]  c1=0.310972421624165, c2=0.004445247865886668, score=0.841622 -   1.3s
[CV] c1=0.222922487241942, c2=0.06586005339032518 ....................
[CV]  c1=0.222922487241942, c2=0.06586005339032518, score=0.888779 -   1.5s
[CV] c1=0.33609789207508156, c2=0.007471806857789403 .................
[CV]  c1=0.33609789207508156, c2=0.007471806857789403, score=0.798660 -   1.5s
[CV] c1=0.844138550970456, c2=0.08267295539960243 ....................
[CV]  c1=0.844138550970456, c2=0.08267295539960243, score=0.646730 -   1.4s
[CV] c1=0.0987623178638199, c2=0.013346103294013381 ..................
[CV]  c1=0.0987623178638199, c2=0.013346103294013381, score=0.890093 -   1.4s
[CV] c1=1.0420518667050525, c2=0.0448797474669106 ....................
[CV]  c1=1.0420518667050525, c2=0.0448797474669106, score=0.843829 -   1.5s
[CV] c1=0.024743861752636747, c2=0.013809722382129254 ................
[CV]  c1=0.024743861752636747, c2=0.013809722382129254, score=0.819162 -   1.5s
[CV] c1=0.24068853152456451, c2=0.026640803618644335 .................
[CV]  c1=0.24068853152456451, c2=0.026640803618644335, score=0.863073 -   1.4s
[CV] c1=0.17310253174773785, c2=0.013679755817311505 .................
[CV]  c1=0.17310253174773785, c2=0.013679755817311505, score=0.794541 -   1.5s
[CV] c1=0.10826355392915359, c2=0.007378310194117841 .................
[CV]  c1=0.10826355392915359, c2=0.007378310194117841, score=0.790857 -   1.4s
[CV] c1=0.9446217626884849, c2=0.037279030558000935 ..................
[CV]  c1=0.9446217626884849, c2=0.037279030558000935, score=0.848530 -   1.4s
[CV] c1=0.2863914910773923, c2=0.05379812000359183 ...................
[CV]  c1=0.2863914910773923, c2=0.05379812000359183, score=0.863073 -   1.3s
[CV] c1=0.2097750669262128, c2=0.03315704654727312 ...................
[CV]  c1=0.2097750669262128, c2=0.03315704654727312, score=0.787173 -   1.3s
[CV] c1=0.2083372783245812, c2=0.02213138454038946 ...................
[CV]  c1=0.2083372783245812, c2=0.02213138454038946, score=0.785161 -   1.4s
[CV] c1=0.07344259464808688, c2=0.06111155223395675 ..................
[CV]  c1=0.07344259464808688, c2=0.06111155223395675, score=0.719286 -   1.1s
[CV] c1=0.06382059590979446, c2=0.10838115420821987 ..................
[CV]  c1=0.06382059590979446, c2=0.10838115420821987, score=0.883574 -   1.4s
[CV] c1=0.0987623178638199, c2=0.013346103294013381 ..................
[CV]  c1=0.0987623178638199, c2=0.013346103294013381, score=0.788844 -   1.4s
[CV] c1=1.0420518667050525, c2=0.0448797474669106 ....................
[CV]  c1=1.0420518667050525, c2=0.0448797474669106, score=0.769386 -   1.3s
[CV] c1=0.024743861752636747, c2=0.013809722382129254 ................
[CV]  c1=0.024743861752636747, c2=0.013809722382129254, score=0.881231 -   1.4s
[CV] c1=0.6629490849455435, c2=0.018483806230725645 ..................
[CV]  c1=0.6629490849455435, c2=0.018483806230725645, score=0.707541 -   1.1s
[CV] c1=0.2201383025215958, c2=0.010388900597122244 ..................
[CV]  c1=0.2201383025215958, c2=0.010388900597122244, score=0.861157 -   1.3s
[CV] c1=0.2606867250230139, c2=0.12442590367814499 ...................
[CV]  c1=0.2606867250230139, c2=0.12442590367814499, score=0.754814 -   1.1s
[CV] c1=0.5872375042070446, c2=0.1192427924875764 ....................
[CV]  c1=0.5872375042070446, c2=0.1192427924875764, score=0.855727 -   1.4s
[CV] c1=0.7327986203276204, c2=0.011824554661277844 ..................
[CV]  c1=0.7327986203276204, c2=0.011824554661277844, score=0.801135 -   1.0s
[CV] c1=0.05482585374314949, c2=0.11447115823584891 ..................
[CV]  c1=0.05482585374314949, c2=0.11447115823584891, score=0.888779 -   1.4s
[CV] c1=0.2097750669262128, c2=0.03315704654727312 ...................
[CV]  c1=0.2097750669262128, c2=0.03315704654727312, score=0.787829 -   1.4s
[CV] c1=0.0014007687959468043, c2=0.029146873759849784 ...............
[CV]  c1=0.0014007687959468043, c2=0.029146873759849784, score=0.775309 -   1.4s
[CV] c1=0.07344259464808688, c2=0.06111155223395675 ..................
[CV]  c1=0.07344259464808688, c2=0.06111155223395675, score=0.860889 -   1.3s
[CV] c1=0.11756552167058294, c2=0.06105902223384174 ..................
[CV]  c1=0.11756552167058294, c2=0.06105902223384174, score=0.860889 -   1.3s
[CV] c1=0.7482424595736944, c2=0.04750896151833328 ...................
[CV]  c1=0.7482424595736944, c2=0.04750896151833328, score=0.698123 -   1.1s
[CV] c1=1.1415005390392259, c2=0.005634198460521871 ..................
[CV]  c1=1.1415005390392259, c2=0.005634198460521871, score=0.665616 -   1.1s
[CV] c1=0.05018700985747728, c2=0.0004399077307350605 ................
[CV]  c1=0.05018700985747728, c2=0.0004399077307350605, score=0.877871 -   1.3s
[CV] c1=0.9467108975892513, c2=0.001898144296303194 ..................
[CV]  c1=0.9467108975892513, c2=0.001898144296303194, score=0.865535 -   1.3s
[CV] c1=0.2201383025215958, c2=0.010388900597122244 ..................
[CV]  c1=0.2201383025215958, c2=0.010388900597122244, score=0.774000 -   1.1s
[CV] c1=0.029512593950986297, c2=0.04426408243014664 .................
[CV]  c1=0.029512593950986297, c2=0.04426408243014664, score=0.724544 -   1.1s
[CV] c1=1.4655363361202731, c2=0.03315695519244756 ...................
[CV]  c1=1.4655363361202731, c2=0.03315695519244756, score=0.697232 -   1.3s
[CV] c1=0.9446217626884849, c2=0.037279030558000935 ..................
[CV]  c1=0.9446217626884849, c2=0.037279030558000935, score=0.771852 -   1.3s
[CV] c1=1.5805201344184232, c2=0.04381005450556944 ...................
[CV]  c1=1.5805201344184232, c2=0.04381005450556944, score=0.653038 -   1.2s
[CV] c1=1.570634678937903, c2=0.018043334846328835 ...................
[CV]  c1=1.570634678937903, c2=0.018043334846328835, score=0.555456 -   1.4s
[CV] c1=1.803770888607243, c2=0.017829908395705522 ...................
[CV]  c1=1.803770888607243, c2=0.017829908395705522, score=0.683982 -   1.3s
[CV] c1=0.47627992238928035, c2=0.024417139877904476 .................
[CV]  c1=0.47627992238928035, c2=0.024417139877904476, score=0.779598 -   1.4s
[CV] c1=0.46483284080671944, c2=0.07067378737184596 ..................
[CV]  c1=0.46483284080671944, c2=0.07067378737184596, score=0.705567 -   1.4s
[CV] c1=0.22930696198841502, c2=0.0684448161256653 ...................
[CV]  c1=0.22930696198841502, c2=0.0684448161256653, score=0.785010 -   1.4s
[CV] c1=0.01404065236533277, c2=0.06075033850953037 ..................
[CV]  c1=0.01404065236533277, c2=0.06075033850953037, score=0.801293 -   1.3s
[CV] c1=0.5893365020907148, c2=0.0047169582893278215 .................
[CV]  c1=0.5893365020907148, c2=0.0047169582893278215, score=0.895383 -   1.4s
[CV] c1=0.6029450741373666, c2=0.029356878584417198 ..................
[CV]  c1=0.6029450741373666, c2=0.029356878584417198, score=0.697457 -   1.4s
[CV] c1=0.5358701603991017, c2=0.019683399497033235 ..................
[CV]  c1=0.5358701603991017, c2=0.019683399497033235, score=0.778246 -   1.4s
[CV] c1=0.5872375042070446, c2=0.1192427924875764 ....................
[CV]  c1=0.5872375042070446, c2=0.1192427924875764, score=0.689995 -   1.1s
[CV] c1=0.8329593072544564, c2=0.034676875895050446 ..................
[CV]  c1=0.8329593072544564, c2=0.034676875895050446, score=0.874760 -   1.3s
[CV] c1=0.04207425524257056, c2=0.08654392719907084 ..................
[CV]  c1=0.04207425524257056, c2=0.08654392719907084, score=0.888779 -   1.1s
[CV] c1=0.7280261290277688, c2=0.04221188258994752 ...................
[CV]  c1=0.7280261290277688, c2=0.04221188258994752, score=0.772837 -   1.5s
[CV] c1=0.2982843571049439, c2=0.10155309179127057 ...................
[CV]  c1=0.2982843571049439, c2=0.10155309179127057, score=0.820383 -   1.4s
[CV] c1=0.13262360893253158, c2=0.06238113957818817 ..................
[CV]  c1=0.13262360893253158, c2=0.06238113957818817, score=0.863073 -   1.4s
[CV] c1=0.19864841966928748, c2=0.08952978247794793 ..................
[CV]  c1=0.19864841966928748, c2=0.08952978247794793, score=0.886916 -   1.5s
[CV] c1=0.7226406323298609, c2=0.026457086347010102 ..................
[CV]  c1=0.7226406323298609, c2=0.026457086347010102, score=0.772539 -   1.5s
[CV] c1=1.1415005390392259, c2=0.005634198460521871 ..................
[CV]  c1=1.1415005390392259, c2=0.005634198460521871, score=0.778555 -   1.4s
[CV] c1=0.4788348293335518, c2=0.20890931948778363 ...................
[CV]  c1=0.4788348293335518, c2=0.20890931948778363, score=0.766827 -   1.6s
[CV] c1=0.24068853152456451, c2=0.026640803618644335 .................
[CV]  c1=0.24068853152456451, c2=0.026640803618644335, score=0.774265 -   1.2s
[CV] c1=0.09642819998322377, c2=0.0021189944523881525 ................
[CV]  c1=0.09642819998322377, c2=0.0021189944523881525, score=0.789418 -   1.2s
[CV] c1=0.5555049612242198, c2=0.01949740097828311 ...................
[CV]  c1=0.5555049612242198, c2=0.01949740097828311, score=0.707412 -   1.3s
[CV] c1=0.0583016415287126, c2=0.020665593231843214 ..................
[CV]  c1=0.0583016415287126, c2=0.020665593231843214, score=0.786413 -   1.0s
[CV] c1=0.7327986203276204, c2=0.011824554661277844 ..................
[CV]  c1=0.7327986203276204, c2=0.011824554661277844, score=0.701021 -   1.1s
[CV] c1=1.5805201344184232, c2=0.04381005450556944 ...................
[CV]  c1=1.5805201344184232, c2=0.04381005450556944, score=0.804013 -   1.3s
[CV] c1=0.1601990570294624, c2=0.01146455500143851 ...................
[CV]  c1=0.1601990570294624, c2=0.01146455500143851, score=0.796160 -   1.5s
[CV] c1=0.20541938900741277, c2=0.00920419922052009 ..................
[CV]  c1=0.20541938900741277, c2=0.00920419922052009, score=0.863073 -   1.3s
[CV] c1=0.2525169724369638, c2=0.040729160783871204 ..................
[CV]  c1=0.2525169724369638, c2=0.040729160783871204, score=0.820360 -   1.4s
[CV] c1=0.46483284080671944, c2=0.07067378737184596 ..................
[CV]  c1=0.46483284080671944, c2=0.07067378737184596, score=0.778246 -   1.4s
[CV] c1=0.7003176055188376, c2=0.03572520832827899 ...................
[CV]  c1=0.7003176055188376, c2=0.03572520832827899, score=0.858312 -   1.3s
[CV] c1=0.01404065236533277, c2=0.06075033850953037 ..................
[CV]  c1=0.01404065236533277, c2=0.06075033850953037, score=0.708410 -   1.1s
[CV] c1=0.08181646052226943, c2=0.028102939600178886 .................
[CV]  c1=0.08181646052226943, c2=0.028102939600178886, score=0.828690 -   1.4s
[CV] c1=0.4355605335331868, c2=0.0370029176816833 ....................
[CV]  c1=0.4355605335331868, c2=0.0370029176816833, score=0.874756 -   1.4s
[CV] c1=0.7330329473634538, c2=0.03203528384557965 ...................
[CV]  c1=0.7330329473634538, c2=0.03203528384557965, score=0.701233 -   1.6s
[CV] c1=0.004072613835287031, c2=0.052257092620452805 ................
[CV]  c1=0.004072613835287031, c2=0.052257092620452805, score=0.864160 -   1.3s
[CV] c1=0.8329593072544564, c2=0.034676875895050446 ..................
[CV]  c1=0.8329593072544564, c2=0.034676875895050446, score=0.783200 -   1.2s
[CV] c1=0.04207425524257056, c2=0.08654392719907084 ..................
[CV]  c1=0.04207425524257056, c2=0.08654392719907084, score=0.817398 -   1.3s
[CV] c1=0.310972421624165, c2=0.004445247865886668 ...................
[CV]  c1=0.310972421624165, c2=0.004445247865886668, score=0.774763 -   1.5s
[CV] c1=0.1306644220664251, c2=0.016563138360038206 ..................
[CV]  c1=0.1306644220664251, c2=0.016563138360038206, score=0.887673 -   1.4s
[CV] c1=0.16622513263705632, c2=0.06660142523965779 ..................
[CV]  c1=0.16622513263705632, c2=0.06660142523965779, score=0.860889 -   1.3s
[CV] c1=0.844138550970456, c2=0.08267295539960243 ....................
[CV]  c1=0.844138550970456, c2=0.08267295539960243, score=0.672068 -   1.4s
[CV] c1=0.33060666134623523, c2=0.09994432190078227 ..................
[CV]  c1=0.33060666134623523, c2=0.09994432190078227, score=0.764206 -   1.5s
[CV] c1=1.0420518667050525, c2=0.0448797474669106 ....................
[CV]  c1=1.0420518667050525, c2=0.0448797474669106, score=0.641058 -   1.5s
[CV] c1=2.1427733346355473, c2=0.13155661305455563 ...................
[CV]  c1=2.1427733346355473, c2=0.13155661305455563, score=0.651477 -   1.4s
[CV] c1=0.2900227147515763, c2=0.12234796607789651 ...................
[CV]  c1=0.2900227147515763, c2=0.12234796607789651, score=0.875558 -   1.5s
[CV] c1=0.11468804921540494, c2=0.038988500932730354 .................
[CV]  c1=0.11468804921540494, c2=0.038988500932730354, score=0.782806 -   1.5s
[CV] c1=1.4655363361202731, c2=0.03315695519244756 ...................
[CV]  c1=1.4655363361202731, c2=0.03315695519244756, score=0.618046 -   1.4s
[CV] c1=0.9446217626884849, c2=0.037279030558000935 ..................
[CV]  c1=0.9446217626884849, c2=0.037279030558000935, score=0.641632 -   1.4s
[CV] c1=0.9368034719922499, c2=0.0025089438446633224 .................
[CV]  c1=0.9368034719922499, c2=0.0025089438446633224, score=0.686428 -   1.2s
[CV] c1=0.30381515902976225, c2=0.09831041700121933 ..................
[CV]  c1=0.30381515902976225, c2=0.09831041700121933, score=0.754424 -   1.7s
[CV] c1=0.1306644220664251, c2=0.016563138360038206 ..................
[CV]  c1=0.1306644220664251, c2=0.016563138360038206, score=0.780231 -   1.2s
[CV] c1=0.33609789207508156, c2=0.007471806857789403 .................
[CV]  c1=0.33609789207508156, c2=0.007471806857789403, score=0.783415 -   1.1s
[CV] c1=0.132594137765913, c2=0.1932260373103926 .....................
[CV]  c1=0.132594137765913, c2=0.1932260373103926, score=0.748628 -   1.1s
[CV] c1=0.4554921118196488, c2=0.010981048142957927 ..................
[CV]  c1=0.4554921118196488, c2=0.010981048142957927, score=0.738152 -   1.2s
[CV] c1=0.22930696198841502, c2=0.0684448161256653 ...................
[CV]  c1=0.22930696198841502, c2=0.0684448161256653, score=0.859849 -   1.4s
[CV] c1=0.01404065236533277, c2=0.06075033850953037 ..................
[CV]  c1=0.01404065236533277, c2=0.06075033850953037, score=0.888779 -   1.4s
[CV] c1=0.5893365020907148, c2=0.0047169582893278215 .................
[CV]  c1=0.5893365020907148, c2=0.0047169582893278215, score=0.780667 -   1.4s
[CV] c1=0.20350738992254644, c2=0.05400615234463907 ..................
[CV]  c1=0.20350738992254644, c2=0.05400615234463907, score=0.777493 -   1.1s
[CV] c1=0.7330329473634538, c2=0.03203528384557965 ...................
[CV]  c1=0.7330329473634538, c2=0.03203528384557965, score=0.801135 -   1.4s
[CV] c1=1.4655363361202731, c2=0.03315695519244756 ...................
[CV]  c1=1.4655363361202731, c2=0.03315695519244756, score=0.556652 -   1.5s
[CV] c1=0.7327986203276204, c2=0.011824554661277844 ..................
[CV]  c1=0.7327986203276204, c2=0.011824554661277844, score=0.883089 -   1.1s
[CV] c1=1.5805201344184232, c2=0.04381005450556944 ...................
[CV]  c1=1.5805201344184232, c2=0.04381005450556944, score=0.615182 -   1.5s
[CV] c1=0.8433132461182008, c2=0.09517053537049608 ...................
[CV]  c1=0.8433132461182008, c2=0.09517053537049608, score=0.717451 -   1.5s
[CV] c1=0.7004069139326398, c2=0.041951073059733834 ..................
[CV]  c1=0.7004069139326398, c2=0.041951073059733834, score=0.699388 -   1.4s
[CV] c1=1.9451597521714612, c2=0.02491543984439613 ...................
[CV]  c1=1.9451597521714612, c2=0.02491543984439613, score=0.667452 -   1.4s
[CV] c1=0.4554921118196488, c2=0.010981048142957927 ..................
[CV]  c1=0.4554921118196488, c2=0.010981048142957927, score=0.793283 -   1.4s
[CV] c1=0.4935576337807269, c2=0.3027725721346936 ....................
[CV]  c1=0.4935576337807269, c2=0.3027725721346936, score=0.839939 -   1.3s
[CV] c1=0.0024317903388821234, c2=0.004943445749873397 ...............
[CV]  c1=0.0024317903388821234, c2=0.004943445749873397, score=0.874352 -   1.4s
[CV] c1=0.6460866234474063, c2=0.02433509713522331 ...................
[CV]  c1=0.6460866234474063, c2=0.02433509713522331, score=0.863099 -   1.3s
[CV] c1=0.20350738992254644, c2=0.05400615234463907 ..................
[CV]  c1=0.20350738992254644, c2=0.05400615234463907, score=0.883574 -   1.4s
[CV] c1=0.5358701603991017, c2=0.019683399497033235 ..................
[CV]  c1=0.5358701603991017, c2=0.019683399497033235, score=0.823815 -   1.3s
[CV] c1=0.004072613835287031, c2=0.052257092620452805 ................
[CV]  c1=0.004072613835287031, c2=0.052257092620452805, score=0.791464 -   1.4s
[CV] c1=0.8329593072544564, c2=0.034676875895050446 ..................
[CV]  c1=0.8329593072544564, c2=0.034676875895050446, score=0.729264 -   1.2s
[CV] c1=0.05482585374314949, c2=0.11447115823584891 ..................
[CV]  c1=0.05482585374314949, c2=0.11447115823584891, score=0.781580 -   1.4s
[CV] c1=1.570634678937903, c2=0.018043334846328835 ...................
[CV]  c1=1.570634678937903, c2=0.018043334846328835, score=0.615215 -   1.1s
[CV] c1=0.2083372783245812, c2=0.02213138454038946 ...................
[CV]  c1=0.2083372783245812, c2=0.02213138454038946, score=0.885609 -   1.3s
[CV] c1=0.30446491082439014, c2=0.059823743675814535 .................
[CV]  c1=0.30446491082439014, c2=0.059823743675814535, score=0.749511 -   1.2s
[CV] c1=0.19864841966928748, c2=0.08952978247794793 ..................
[CV]  c1=0.19864841966928748, c2=0.08952978247794793, score=0.815462 -   1.6s
[CV] c1=0.0987623178638199, c2=0.013346103294013381 ..................
[CV]  c1=0.0987623178638199, c2=0.013346103294013381, score=0.863073 -   1.3s
[CV] c1=1.0420518667050525, c2=0.0448797474669106 ....................
[CV]  c1=1.0420518667050525, c2=0.0448797474669106, score=0.654833 -   1.1s
[CV] c1=0.05018700985747728, c2=0.0004399077307350605 ................
[CV]  c1=0.05018700985747728, c2=0.0004399077307350605, score=0.812351 -   1.4s
[CV] c1=0.06525180016725521, c2=0.06246972340594279 ..................
[CV]  c1=0.06525180016725521, c2=0.06246972340594279, score=0.745160 -   1.1s
[CV] c1=0.20350738992254644, c2=0.05400615234463907 ..................
[CV]  c1=0.20350738992254644, c2=0.05400615234463907, score=0.784827 -   1.4s
[CV] c1=0.029512593950986297, c2=0.04426408243014664 .................
[CV]  c1=0.029512593950986297, c2=0.04426408243014664, score=0.817098 -   1.4s
[CV] c1=0.08514846862945086, c2=0.04454076198842591 ..................
[CV]  c1=0.08514846862945086, c2=0.04454076198842591, score=0.749627 -   1.1s
[CV] c1=0.8329593072544564, c2=0.034676875895050446 ..................
[CV]  c1=0.8329593072544564, c2=0.034676875895050446, score=0.684870 -   1.3s
[CV] c1=0.3167551225283025, c2=0.0031522711173749204 .................
[CV]  c1=0.3167551225283025, c2=0.0031522711173749204, score=0.772757 -   0.9s
[CV] c1=0.7280261290277688, c2=0.04221188258994752 ...................
[CV]  c1=0.7280261290277688, c2=0.04221188258994752, score=0.704325 -   1.3s
[CV] c1=1.1815724109440133, c2=0.08018626629148518 ...................
[CV]  c1=1.1815724109440133, c2=0.08018626629148518, score=0.630459 -   1.5s
[CV] c1=0.7004069139326398, c2=0.041951073059733834 ..................
[CV]  c1=0.7004069139326398, c2=0.041951073059733834, score=0.768782 -   1.6s
[CV] c1=0.132594137765913, c2=0.1932260373103926 .....................
[CV]  c1=0.132594137765913, c2=0.1932260373103926, score=0.753024 -   1.4s
[CV] c1=0.054863032202863656, c2=0.030593179445252396 ................
[CV]  c1=0.054863032202863656, c2=0.030593179445252396, score=0.800547 -   1.4s
[CV] c1=0.4935576337807269, c2=0.3027725721346936 ....................
[CV]  c1=0.4935576337807269, c2=0.3027725721346936, score=0.772925 -   1.4s
[CV] c1=0.0024317903388821234, c2=0.004943445749873397 ...............
[CV]  c1=0.0024317903388821234, c2=0.004943445749873397, score=0.796637 -   1.4s
[CV] c1=0.9467108975892513, c2=0.001898144296303194 ..................
[CV]  c1=0.9467108975892513, c2=0.001898144296303194, score=0.678361 -   1.3s
[CV] c1=0.2201383025215958, c2=0.010388900597122244 ..................
[CV]  c1=0.2201383025215958, c2=0.010388900597122244, score=0.880998 -   1.4s
[CV] c1=0.2606867250230139, c2=0.12442590367814499 ...................
[CV]  c1=0.2606867250230139, c2=0.12442590367814499, score=0.844368 -   1.4s
[CV] c1=0.0583016415287126, c2=0.020665593231843214 ..................
[CV]  c1=0.0583016415287126, c2=0.020665593231843214, score=0.884069 -   1.4s
[CV] c1=0.5539920454657424, c2=0.00346619320468322 ...................
[CV]  c1=0.5539920454657424, c2=0.00346619320468322, score=0.783029 -   0.8s
[CV] c1=1.024215232230876, c2=0.010723858408681996 ...................
[CV]  c1=1.024215232230876, c2=0.010723858408681996, score=0.782917 -   1.3s
[CV] c1=0.1601990570294624, c2=0.01146455500143851 ...................
[CV]  c1=0.1601990570294624, c2=0.01146455500143851, score=0.769155 -   1.1s
[CV] c1=0.0014007687959468043, c2=0.029146873759849784 ...............
[CV]  c1=0.0014007687959468043, c2=0.029146873759849784, score=0.881158 -   1.3s
[CV] c1=0.07344259464808688, c2=0.06111155223395675 ..................
[CV]  c1=0.07344259464808688, c2=0.06111155223395675, score=0.883574 -   1.4s
[CV] c1=0.11756552167058294, c2=0.06105902223384174 ..................
[CV]  c1=0.11756552167058294, c2=0.06105902223384174, score=0.781512 -   1.4s
[CV] c1=0.04204439788198132, c2=0.106297889425182 ....................
[CV]  c1=0.04204439788198132, c2=0.106297889425182, score=0.878964 -   1.3s
[CV] c1=0.24700462000632087, c2=0.021608469940653626 .................
[CV]  c1=0.24700462000632087, c2=0.021608469940653626, score=0.766907 -   1.1s
[CV] c1=0.024743861752636747, c2=0.013809722382129254 ................
[CV]  c1=0.024743861752636747, c2=0.013809722382129254, score=0.788714 -   1.1s
[CV] c1=0.06525180016725521, c2=0.06246972340594279 ..................
[CV]  c1=0.06525180016725521, c2=0.06246972340594279, score=0.888779 -   1.4s
[CV] c1=0.2201383025215958, c2=0.010388900597122244 ..................
[CV]  c1=0.2201383025215958, c2=0.010388900597122244, score=0.808190 -   1.4s
[CV] c1=0.5555049612242198, c2=0.01949740097828311 ...................
[CV]  c1=0.5555049612242198, c2=0.01949740097828311, score=0.708846 -   1.1s
[CV] c1=0.5872375042070446, c2=0.1192427924875764 ....................
[CV]  c1=0.5872375042070446, c2=0.1192427924875764, score=0.772837 -   1.5s
[CV] c1=0.9769027085878031, c2=0.0387943614563358 ....................
[CV]  c1=0.9769027085878031, c2=0.0387943614563358, score=0.783846 -   1.0s
[CV] c1=0.3167551225283025, c2=0.0031522711173749204 .................
[CV]  c1=0.3167551225283025, c2=0.0031522711173749204, score=0.895941 -   1.3s
[CV] c1=0.310972421624165, c2=0.004445247865886668 ...................
[CV]  c1=0.310972421624165, c2=0.004445247865886668, score=0.895941 -   1.5s
[CV] c1=0.222922487241942, c2=0.06586005339032518 ....................
[CV]  c1=0.222922487241942, c2=0.06586005339032518, score=0.863073 -   1.4s
[CV] c1=0.16622513263705632, c2=0.06660142523965779 ..................
[CV]  c1=0.16622513263705632, c2=0.06660142523965779, score=0.888779 -   1.4s
[CV] c1=0.844138550970456, c2=0.08267295539960243 ....................
[CV]  c1=0.844138550970456, c2=0.08267295539960243, score=0.685832 -   1.1s
[CV] c1=0.054863032202863656, c2=0.030593179445252396 ................
[CV]  c1=0.054863032202863656, c2=0.030593179445252396, score=0.860889 -   1.3s
[CV] c1=0.4935576337807269, c2=0.3027725721346936 ....................
[CV]  c1=0.4935576337807269, c2=0.3027725721346936, score=0.760534 -   1.3s
[CV] c1=0.0024317903388821234, c2=0.004943445749873397 ...............
[CV]  c1=0.0024317903388821234, c2=0.004943445749873397, score=0.846363 -   1.4s
[CV] c1=0.6460866234474063, c2=0.02433509713522331 ...................
[CV]  c1=0.6460866234474063, c2=0.02433509713522331, score=0.761071 -   1.4s
[CV] c1=0.20350738992254644, c2=0.05400615234463907 ..................
[CV]  c1=0.20350738992254644, c2=0.05400615234463907, score=0.860889 -   1.4s
[CV] c1=0.029512593950986297, c2=0.04426408243014664 .................
[CV]  c1=0.029512593950986297, c2=0.04426408243014664, score=0.860889 -   1.3s
[CV] c1=0.5872375042070446, c2=0.1192427924875764 ....................
[CV]  c1=0.5872375042070446, c2=0.1192427924875764, score=0.781612 -   1.3s
[CV] c1=0.7327986203276204, c2=0.011824554661277844 ..................
[CV]  c1=0.7327986203276204, c2=0.011824554661277844, score=0.771800 -   1.1s
[CV] c1=0.17648634668672483, c2=0.03607970199483428 ..................
[CV]  c1=0.17648634668672483, c2=0.03607970199483428, score=0.863073 -   1.3s
[CV] c1=0.40002486993429165, c2=0.014750097646356188 .................
[CV]  c1=0.40002486993429165, c2=0.014750097646356188, score=0.756754 -   1.4s
[CV] c1=0.2083372783245812, c2=0.02213138454038946 ...................
[CV]  c1=0.2083372783245812, c2=0.02213138454038946, score=0.741557 -   1.2s
[CV] c1=0.33609789207508156, c2=0.007471806857789403 .................
[CV]  c1=0.33609789207508156, c2=0.007471806857789403, score=0.861227 -   1.3s
[CV] c1=0.19864841966928748, c2=0.08952978247794793 ..................
[CV]  c1=0.19864841966928748, c2=0.08952978247794793, score=0.858334 -   1.3s
[CV] c1=0.7226406323298609, c2=0.026457086347010102 ..................
[CV]  c1=0.7226406323298609, c2=0.026457086347010102, score=0.735593 -   1.2s
[CV] c1=0.4935576337807269, c2=0.3027725721346936 ....................
[CV]  c1=0.4935576337807269, c2=0.3027725721346936, score=0.669964 -   1.6s
[CV] c1=0.05018700985747728, c2=0.0004399077307350605 ................
[CV]  c1=0.05018700985747728, c2=0.0004399077307350605, score=0.795045 -   1.4s
[CV] c1=0.9467108975892513, c2=0.001898144296303194 ..................
[CV]  c1=0.9467108975892513, c2=0.001898144296303194, score=0.686272 -   1.4s
[CV] c1=1.2592209054162316, c2=0.006883064811326366 ..................
[CV]  c1=1.2592209054162316, c2=0.006883064811326366, score=0.653034 -   1.1s
[CV] c1=0.2606867250230139, c2=0.12442590367814499 ...................
[CV]  c1=0.2606867250230139, c2=0.12442590367814499, score=0.893150 -   1.4s
[CV] c1=0.08514846862945086, c2=0.04454076198842591 ..................
[CV]  c1=0.08514846862945086, c2=0.04454076198842591, score=0.859063 -   1.3s
[CV] c1=0.9769027085878031, c2=0.0387943614563358 ....................
[CV]  c1=0.9769027085878031, c2=0.0387943614563358, score=0.681252 -   1.1s
[CV] c1=1.024215232230876, c2=0.010723858408681996 ...................
[CV]  c1=1.024215232230876, c2=0.010723858408681996, score=0.856227 -   1.4s
[CV] c1=0.1601990570294624, c2=0.01146455500143851 ...................
[CV]  c1=0.1601990570294624, c2=0.01146455500143851, score=0.788510 -   1.5s
[CV] c1=0.20541938900741277, c2=0.00920419922052009 ..................
[CV]  c1=0.20541938900741277, c2=0.00920419922052009, score=0.778000 -   1.2s
[CV] c1=0.47627992238928035, c2=0.024417139877904476 .................
[CV]  c1=0.47627992238928035, c2=0.024417139877904476, score=0.743314 -   1.2s
[CV] c1=0.11756552167058294, c2=0.06105902223384174 ..................
[CV]  c1=0.11756552167058294, c2=0.06105902223384174, score=0.732054 -   1.1s
[CV] c1=0.33060666134623523, c2=0.09994432190078227 ..................
[CV]  c1=0.33060666134623523, c2=0.09994432190078227, score=0.828554 -   1.4s
[CV] c1=1.1415005390392259, c2=0.005634198460521871 ..................
[CV]  c1=1.1415005390392259, c2=0.005634198460521871, score=0.654868 -   1.5s
[CV] c1=0.024743861752636747, c2=0.013809722382129254 ................
[CV]  c1=0.024743861752636747, c2=0.013809722382129254, score=0.800749 -   1.4s
[CV] c1=0.6629490849455435, c2=0.018483806230725645 ..................
[CV]  c1=0.6629490849455435, c2=0.018483806230725645, score=0.720669 -   1.4s
[CV] c1=0.09642819998322377, c2=0.0021189944523881525 ................
[CV]  c1=0.09642819998322377, c2=0.0021189944523881525, score=0.861157 -   1.3s
[CV] c1=0.10022099462122394, c2=0.0950162771214905 ...................
[CV]  c1=0.10022099462122394, c2=0.0950162771214905, score=0.714768 -   1.0s
[CV] c1=0.08514846862945086, c2=0.04454076198842591 ..................
[CV]  c1=0.08514846862945086, c2=0.04454076198842591, score=0.793246 -   1.4s
[CV] c1=0.5539920454657424, c2=0.00346619320468322 ...................
[CV]  c1=0.5539920454657424, c2=0.00346619320468322, score=0.888792 -   1.0s
[CV] c1=0.04207425524257056, c2=0.08654392719907084 ..................
[CV]  c1=0.04207425524257056, c2=0.08654392719907084, score=0.739739 -   0.8s
[CV] c1=0.7280261290277688, c2=0.04221188258994752 ...................
[CV]  c1=0.7280261290277688, c2=0.04221188258994752, score=0.736985 -   1.2s
[CV] c1=0.8433132461182008, c2=0.09517053537049608 ...................
[CV]  c1=0.8433132461182008, c2=0.09517053537049608, score=0.678051 -   1.4s
[CV] c1=0.7004069139326398, c2=0.041951073059733834 ..................
[CV]  c1=0.7004069139326398, c2=0.041951073059733834, score=0.853442 -   1.4s
[CV] c1=1.9451597521714612, c2=0.02491543984439613 ...................
[CV]  c1=1.9451597521714612, c2=0.02491543984439613, score=0.781811 -   1.4s
[CV] c1=0.4554921118196488, c2=0.010981048142957927 ..................
[CV]  c1=0.4554921118196488, c2=0.010981048142957927, score=0.881431 -   1.4s
[CV] c1=0.7003176055188376, c2=0.03572520832827899 ...................
[CV]  c1=0.7003176055188376, c2=0.03572520832827899, score=0.701021 -   1.1s
[CV] c1=0.24700462000632087, c2=0.021608469940653626 .................
[CV]  c1=0.24700462000632087, c2=0.021608469940653626, score=0.796160 -   1.4s
[CV] c1=0.10544956447310622, c2=0.030458619689993784 .................
[CV]  c1=0.10544956447310622, c2=0.030458619689993784, score=0.793246 -   1.4s
[CV] c1=0.4355605335331868, c2=0.0370029176816833 ....................
[CV]  c1=0.4355605335331868, c2=0.0370029176816833, score=0.795418 -   1.5s
[CV] c1=0.5358701603991017, c2=0.019683399497033235 ..................
[CV]  c1=0.5358701603991017, c2=0.019683399497033235, score=0.724439 -   1.4s
[CV] c1=0.004072613835287031, c2=0.052257092620452805 ................
[CV]  c1=0.004072613835287031, c2=0.052257092620452805, score=0.817549 -   1.4s
[CV] c1=0.7327986203276204, c2=0.011824554661277844 ..................
[CV]  c1=0.7327986203276204, c2=0.011824554661277844, score=0.692797 -   1.2s
[CV] c1=0.05482585374314949, c2=0.11447115823584891 ..................
[CV]  c1=0.05482585374314949, c2=0.11447115823584891, score=0.738460 -   1.1s
[CV] c1=0.40002486993429165, c2=0.014750097646356188 .................
[CV]  c1=0.40002486993429165, c2=0.014750097646356188, score=0.780443 -   1.1s
[CV] c1=0.2982843571049439, c2=0.10155309179127057 ...................
[CV]  c1=0.2982843571049439, c2=0.10155309179127057, score=0.764206 -   1.4s
[CV] c1=0.33609789207508156, c2=0.007471806857789403 .................
[CV]  c1=0.33609789207508156, c2=0.007471806857789403, score=0.895941 -   1.4s
[CV] c1=0.19864841966928748, c2=0.08952978247794793 ..................
[CV]  c1=0.19864841966928748, c2=0.08952978247794793, score=0.753262 -   1.3s
[CV] c1=0.054863032202863656, c2=0.030593179445252396 ................
[CV]  c1=0.054863032202863656, c2=0.030593179445252396, score=0.816957 -   1.5s
[CV] c1=0.5039846048733737, c2=0.053618360248005995 ..................
[CV]  c1=0.5039846048733737, c2=0.053618360248005995, score=0.735765 -   1.1s
[CV] c1=0.0024317903388821234, c2=0.004943445749873397 ...............
[CV]  c1=0.0024317903388821234, c2=0.004943445749873397, score=0.832523 -   1.5s
[CV] c1=0.6460866234474063, c2=0.02433509713522331 ...................
[CV]  c1=0.6460866234474063, c2=0.02433509713522331, score=0.768782 -   1.4s
[CV] c1=0.2201383025215958, c2=0.010388900597122244 ..................
[CV]  c1=0.2201383025215958, c2=0.010388900597122244, score=0.786497 -   1.3s
[CV] c1=0.2606867250230139, c2=0.12442590367814499 ...................
[CV]  c1=0.2606867250230139, c2=0.12442590367814499, score=0.749577 -   1.4s
[CV] c1=0.08514846862945086, c2=0.04454076198842591 ..................
[CV]  c1=0.08514846862945086, c2=0.04454076198842591, score=0.829027 -   1.4s
[CV] c1=0.5539920454657424, c2=0.00346619320468322 ...................
[CV]  c1=0.5539920454657424, c2=0.00346619320468322, score=0.729647 -   0.9s
[CV] c1=0.17648634668672483, c2=0.03607970199483428 ..................
[CV]  c1=0.17648634668672483, c2=0.03607970199483428, score=0.828690 -   1.3s
[CV] c1=0.2097750669262128, c2=0.03315704654727312 ...................
[CV]  c1=0.2097750669262128, c2=0.03315704654727312, score=0.882516 -   1.3s
[CV] c1=0.1306644220664251, c2=0.016563138360038206 ..................
[CV]  c1=0.1306644220664251, c2=0.016563138360038206, score=0.796160 -   1.4s
[CV] c1=0.30446491082439014, c2=0.059823743675814535 .................
[CV]  c1=0.30446491082439014, c2=0.059823743675814535, score=0.785161 -   1.4s
[CV] c1=0.06382059590979446, c2=0.10838115420821987 ..................
[CV]  c1=0.06382059590979446, c2=0.10838115420821987, score=0.859963 -   1.3s
[CV] c1=0.0987623178638199, c2=0.013346103294013381 ..................
[CV]  c1=0.0987623178638199, c2=0.013346103294013381, score=0.787620 -   1.1s
[CV] c1=0.5039846048733737, c2=0.053618360248005995 ..................
[CV]  c1=0.5039846048733737, c2=0.053618360248005995, score=0.809050 -   1.3s
[CV] c1=0.05018700985747728, c2=0.0004399077307350605 ................
[CV]  c1=0.05018700985747728, c2=0.0004399077307350605, score=0.828280 -   1.4s
[CV] c1=0.9467108975892513, c2=0.001898144296303194 ..................
[CV]  c1=0.9467108975892513, c2=0.001898144296303194, score=0.795435 -   1.4s
[CV] c1=1.2592209054162316, c2=0.006883064811326366 ..................
[CV]  c1=1.2592209054162316, c2=0.006883064811326366, score=0.843829 -   1.4s
[CV] c1=0.5555049612242198, c2=0.01949740097828311 ...................
[CV]  c1=0.5555049612242198, c2=0.01949740097828311, score=0.863526 -   1.4s
[CV] c1=0.0583016415287126, c2=0.020665593231843214 ..................
[CV]  c1=0.0583016415287126, c2=0.020665593231843214, score=0.791240 -   1.5s
[CV] c1=0.5539920454657424, c2=0.00346619320468322 ...................
[CV]  c1=0.5539920454657424, c2=0.00346619320468322, score=0.787685 -   0.9s
[CV] c1=0.3167551225283025, c2=0.0031522711173749204 .................
[CV]  c1=0.3167551225283025, c2=0.0031522711173749204, score=0.762222 -   1.5s
[CV] c1=0.2097750669262128, c2=0.03315704654727312 ...................
[CV]  c1=0.2097750669262128, c2=0.03315704654727312, score=0.772095 -   1.1s
[CV] c1=0.222922487241942, c2=0.06586005339032518 ....................
[CV]  c1=0.222922487241942, c2=0.06586005339032518, score=0.787173 -   1.4s
[CV] c1=0.33609789207508156, c2=0.007471806857789403 .................
[CV]  c1=0.33609789207508156, c2=0.007471806857789403, score=0.778846 -   1.5s
[CV] c1=0.844138550970456, c2=0.08267295539960243 ....................
[CV]  c1=0.844138550970456, c2=0.08267295539960243, score=0.839282 -   1.4s
[CV] c1=0.33060666134623523, c2=0.09994432190078227 ..................
[CV]  c1=0.33060666134623523, c2=0.09994432190078227, score=0.722417 -   1.2s
[CV] c1=0.5039846048733737, c2=0.053618360248005995 ..................
[CV]  c1=0.5039846048733737, c2=0.053618360248005995, score=0.867587 -   1.4s
[CV] c1=0.05018700985747728, c2=0.0004399077307350605 ................
[CV]  c1=0.05018700985747728, c2=0.0004399077307350605, score=0.779925 -   1.1s
[CV] c1=0.6460866234474063, c2=0.02433509713522331 ...................
[CV]  c1=0.6460866234474063, c2=0.02433509713522331, score=0.712663 -   1.4s
[CV] c1=0.20350738992254644, c2=0.05400615234463907 ..................
[CV]  c1=0.20350738992254644, c2=0.05400615234463907, score=0.796160 -   1.5s
[CV] c1=0.2606867250230139, c2=0.12442590367814499 ...................
[CV]  c1=0.2606867250230139, c2=0.12442590367814499, score=0.797391 -   1.4s
[CV] c1=0.0583016415287126, c2=0.020665593231843214 ..................
[CV]  c1=0.0583016415287126, c2=0.020665593231843214, score=0.851746 -   1.3s
[CV] c1=0.5539920454657424, c2=0.00346619320468322 ...................
[CV]  c1=0.5539920454657424, c2=0.00346619320468322, score=0.825661 -   1.0s
Training done in: 19.649826s
     Saving training model...
        Saving training model done in: 0.029684s
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Prediction done in: 0.065278s