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

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Run12_v11.txt 73.1 KB
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-------------------------------- PARAMETERS --------------------------------
Path of test and training data sets: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
Path of outputs: /home/egaytan/automatic-extraction-growth-conditions/CRF/
File with training data set: training-data-set-70-NER.txt
File with test data set: test-data-set-30-NER.txt
reportName: Run12
Exclude stop words: False
Levels: S1: TrueS2: TrueS3: FalseS4: True
Run variant: 11
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: 0.003706s
-------------------------------- FEATURES --------------------------------
--------------------------Features Training ---------------------------
             0      1
0        lemma      :
1       postag      :
2     -1:lemma     in
3    -1:postag     IN
4     +1:lemma     m9
5    +1:postag     NN
6       hUpper  False
7       hLower  False
8       hGreek  False
9         symb  False
10   lemma[:1]      :
11  postag[:1]      :
12        word      :
13     isUpper  False
14     isLower  False
15     isGreek  False
16    isNumber  False
17     -1:word     in
18     +1:word     M9
19      -1:ner      _
20      +1:ner    MED
21      -2:ner      _
22      +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       hUpper        True
7       hLower        True
8       hGreek       False
9         symb       False
10   lemma[:1]           d
11  postag[:1]           N
12   lemma[:2]          de
13  postag[:2]          NN
14        word  delta-arcA
15     isUpper       False
16     isLower       False
17     isGreek       False
18    isNumber       False
19     -1:word           _
20     +1:word           _
21      -1:ner           _
22      +1:ner           _
23      -2:ner           _
24      +2:ner        SUPP
Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] c1=0.002957528711247975, c2=0.0913062879849869 ..................
[CV]  c1=0.002957528711247975, c2=0.0913062879849869, score=0.856842 -   1.6s
[CV] c1=0.34043330719961723, c2=0.012604768790887259 .................
[CV]  c1=0.34043330719961723, c2=0.012604768790887259, score=0.748431 -   1.8s
[CV] c1=0.24857564299822962, c2=0.08138200098150028 ..................
[CV]  c1=0.24857564299822962, c2=0.08138200098150028, score=0.875149 -   1.6s
[CV] c1=0.36650102244065197, c2=0.01345476053377657 ..................
[CV]  c1=0.36650102244065197, c2=0.01345476053377657, score=0.710631 -   1.4s
[CV] c1=0.426016527368715, c2=0.007145077676604997 ...................
[CV]  c1=0.426016527368715, c2=0.007145077676604997, score=0.823814 -   1.5s
[CV] c1=0.5774116921424715, c2=0.003631872708527396 ..................
[CV]  c1=0.5774116921424715, c2=0.003631872708527396, score=0.702628 -   1.7s
[CV] c1=3.6212225551708586, c2=0.1217592686891938 ....................
[CV]  c1=3.6212225551708586, c2=0.1217592686891938, score=0.429562 -   1.4s
[CV] c1=0.5619933186697499, c2=0.05429160457547105 ...................
[CV]  c1=0.5619933186697499, c2=0.05429160457547105, score=0.716277 -   1.7s
[CV] c1=0.36328706853786136, c2=0.025437490074692704 .................
[CV]  c1=0.36328706853786136, c2=0.025437490074692704, score=0.825768 -   1.7s
[CV] c1=1.1020444078534781, c2=0.04941639282292897 ...................
[CV]  c1=1.1020444078534781, c2=0.04941639282292897, score=0.792917 -   1.7s
[CV] c1=0.243709882592964, c2=0.07691124454510125 ....................
[CV]  c1=0.243709882592964, c2=0.07691124454510125, score=0.819696 -   1.7s
[CV] c1=0.09725410687130377, c2=0.07236828375508307 ..................
[CV]  c1=0.09725410687130377, c2=0.07236828375508307, score=0.780915 -   1.7s
[CV] c1=0.002957528711247975, c2=0.0913062879849869 ..................
[CV]  c1=0.002957528711247975, c2=0.0913062879849869, score=0.829758 -   1.7s
[CV] c1=0.5164600020012385, c2=0.017165851727381772 ..................
[CV]  c1=0.5164600020012385, c2=0.017165851727381772, score=0.711987 -   1.2s
[CV] c1=0.14888729441111856, c2=0.11133749133473143 ..................
[CV]  c1=0.14888729441111856, c2=0.11133749133473143, score=0.847591 -   1.6s
[CV] c1=0.9652490711713066, c2=0.02319347072977581 ...................
[CV]  c1=0.9652490711713066, c2=0.02319347072977581, score=0.667840 -   1.9s
[CV] c1=0.426016527368715, c2=0.007145077676604997 ...................
[CV]  c1=0.426016527368715, c2=0.007145077676604997, score=0.813961 -   1.8s
[CV] c1=0.7120391791058338, c2=0.08203367278401347 ...................
[CV]  c1=0.7120391791058338, c2=0.08203367278401347, score=0.729374 -   1.7s
[CV] c1=0.15962871194991252, c2=0.013995091826742863 .................
[CV]  c1=0.15962871194991252, c2=0.013995091826742863, score=0.789490 -   1.7s
[CV] c1=0.167973343311636, c2=0.07095137947663666 ....................
[CV]  c1=0.167973343311636, c2=0.07095137947663666, score=0.887929 -   1.7s
[CV] c1=0.29620091565143614, c2=0.06119665550800901 ..................
[CV]  c1=0.29620091565143614, c2=0.06119665550800901, score=0.877750 -   1.6s
[CV] c1=0.07966199243279676, c2=0.15477258107488023 ..................
[CV]  c1=0.07966199243279676, c2=0.15477258107488023, score=0.883300 -   1.7s
[CV] c1=0.6491223788172538, c2=0.08599002298619984 ...................
[CV]  c1=0.6491223788172538, c2=0.08599002298619984, score=0.678122 -   1.3s
[CV] c1=0.22458375024987434, c2=0.03116400806550942 ..................
[CV]  c1=0.22458375024987434, c2=0.03116400806550942, score=0.819653 -   1.6s
[CV] c1=0.09411587680920211, c2=0.04923418628646731 ..................
[CV]  c1=0.09411587680920211, c2=0.04923418628646731, score=0.790144 -   1.7s
[CV] c1=0.06946897378022217, c2=0.10911241336320031 ..................
[CV]  c1=0.06946897378022217, c2=0.10911241336320031, score=0.726869 -   1.3s
[CV] c1=0.14310194627997364, c2=0.05336327958182899 ..................
[CV]  c1=0.14310194627997364, c2=0.05336327958182899, score=0.781628 -   1.7s
[CV] c1=0.36650102244065197, c2=0.01345476053377657 ..................
[CV]  c1=0.36650102244065197, c2=0.01345476053377657, score=0.753887 -   1.7s
[CV] c1=0.07211195022955635, c2=0.15506248538697448 ..................
[CV]  c1=0.07211195022955635, c2=0.15506248538697448, score=0.883300 -   1.6s
[CV] c1=0.3712271584532366, c2=0.02261775959437497 ...................
[CV]  c1=0.3712271584532366, c2=0.02261775959437497, score=0.875662 -   1.7s
[CV] c1=0.9438696008370991, c2=0.0102046601924192 ....................
[CV]  c1=0.9438696008370991, c2=0.0102046601924192, score=0.683703 -   1.9s
[CV] c1=1.0031360716662312, c2=0.03800310272453016 ...................
[CV]  c1=1.0031360716662312, c2=0.03800310272453016, score=0.795252 -   1.6s
[CV] c1=0.3378577125598147, c2=0.006337723771265977 ..................
[CV]  c1=0.3378577125598147, c2=0.006337723771265977, score=0.709959 -   1.3s
[CV] c1=0.030176639262120775, c2=0.008755200154704395 ................
[CV]  c1=0.030176639262120775, c2=0.008755200154704395, score=0.739080 -   1.3s
[CV] c1=0.21382877169442774, c2=0.10157721874731195 ..................
[CV]  c1=0.21382877169442774, c2=0.10157721874731195, score=0.841458 -   1.6s
[CV] c1=0.09725410687130377, c2=0.07236828375508307 ..................
[CV]  c1=0.09725410687130377, c2=0.07236828375508307, score=0.790144 -   1.7s
[CV] c1=0.5052507141237603, c2=0.03937754011002452 ...................
[CV]  c1=0.5052507141237603, c2=0.03937754011002452, score=0.745466 -   1.5s
[CV] c1=0.0040751235576365116, c2=0.01827168051095017 ................
[CV]  c1=0.0040751235576365116, c2=0.01827168051095017, score=0.793728 -   1.7s
[CV] c1=0.5253492747565919, c2=0.08532001338507797 ...................
[CV]  c1=0.5253492747565919, c2=0.08532001338507797, score=0.704268 -   1.7s
[CV] c1=0.042221816038698186, c2=0.03485314922604913 .................
[CV]  c1=0.042221816038698186, c2=0.03485314922604913, score=0.884124 -   1.7s
[CV] c1=0.9004939652719695, c2=0.056702284952156706 ..................
[CV]  c1=0.9004939652719695, c2=0.056702284952156706, score=0.863059 -   1.6s
[CV] c1=0.7120391791058338, c2=0.08203367278401347 ...................
[CV]  c1=0.7120391791058338, c2=0.08203367278401347, score=0.862548 -   1.7s
[CV] c1=1.2865573814724987, c2=0.2503025804647633 ....................
[CV]  c1=1.2865573814724987, c2=0.2503025804647633, score=0.736966 -   1.6s
[CV] c1=0.39331806447358, c2=0.002854660943897952 ....................
[CV]  c1=0.39331806447358, c2=0.002854660943897952, score=0.784406 -   1.7s
[CV] c1=0.7361617327757531, c2=0.08769563400682877 ...................
[CV]  c1=0.7361617327757531, c2=0.08769563400682877, score=0.743560 -   1.8s
[CV] c1=0.030176639262120775, c2=0.008755200154704395 ................
[CV]  c1=0.030176639262120775, c2=0.008755200154704395, score=0.848550 -   1.6s
[CV] c1=0.14574382279791434, c2=0.016198483012409857 .................
[CV]  c1=0.14574382279791434, c2=0.016198483012409857, score=0.841072 -   1.6s
[CV] c1=0.20152495438941637, c2=0.008735534276673411 .................
[CV]  c1=0.20152495438941637, c2=0.008735534276673411, score=0.854340 -   1.6s
[CV] c1=0.928073350942558, c2=0.011743434286857916 ...................
[CV]  c1=0.928073350942558, c2=0.011743434286857916, score=0.708905 -   1.8s
[CV] c1=1.1939238619247499, c2=0.03488770937592743 ...................
[CV]  c1=1.1939238619247499, c2=0.03488770937592743, score=0.791306 -   1.7s
[CV] c1=0.09070874672234035, c2=0.08861244166148635 ..................
[CV]  c1=0.09070874672234035, c2=0.08861244166148635, score=0.876871 -   1.7s
[CV] c1=0.15124851001284365, c2=0.028954202242571177 .................
[CV]  c1=0.15124851001284365, c2=0.028954202242571177, score=0.877816 -   1.7s
[CV] c1=0.5855569036921096, c2=0.051624358099579604 ..................
[CV]  c1=0.5855569036921096, c2=0.051624358099579604, score=0.690142 -   1.7s
[CV] c1=0.247083841727652, c2=0.033492281487398766 ...................
[CV]  c1=0.247083841727652, c2=0.033492281487398766, score=0.783755 -   1.7s
[CV] c1=2.6022408864433775, c2=0.05462028385806891 ...................
[CV]  c1=2.6022408864433775, c2=0.05462028385806891, score=0.532634 -   1.8s
[CV] c1=0.4492839182524381, c2=0.09947770774685671 ...................
[CV]  c1=0.4492839182524381, c2=0.09947770774685671, score=0.699478 -   1.4s
[CV] c1=0.29620091565143614, c2=0.06119665550800901 ..................
[CV]  c1=0.29620091565143614, c2=0.06119665550800901, score=0.816619 -   1.7s
[CV] c1=0.08834679547206678, c2=0.008551330340196778 .................
[CV]  c1=0.08834679547206678, c2=0.008551330340196778, score=0.758178 -   1.3s
[CV] c1=0.6491223788172538, c2=0.08599002298619984 ...................
[CV]  c1=0.6491223788172538, c2=0.08599002298619984, score=0.867150 -   1.6s
[CV] c1=0.5144287061169346, c2=0.08201681970119712 ...................
[CV]  c1=0.5144287061169346, c2=0.08201681970119712, score=0.743120 -   1.4s
[CV] c1=1.2187372701569168, c2=0.02127907275520987 ...................
[CV]  c1=1.2187372701569168, c2=0.02127907275520987, score=0.610142 -   1.2s
[CV] c1=0.4317147720094315, c2=0.1266677994863121 ....................
[CV]  c1=0.4317147720094315, c2=0.1266677994863121, score=0.869144 -   1.7s
[CV] c1=0.19326955975335905, c2=0.04086047613763657 ..................
[CV]  c1=0.19326955975335905, c2=0.04086047613763657, score=0.760978 -   1.7s
[CV] c1=0.16281437587169337, c2=0.010794853833620064 .................
[CV]  c1=0.16281437587169337, c2=0.010794853833620064, score=0.799044 -   1.7s
[CV] c1=1.5191916707433781, c2=0.016834888153309316 ..................
[CV]  c1=1.5191916707433781, c2=0.016834888153309316, score=0.584704 -   1.9s
[CV] c1=0.012693066592012175, c2=0.0032984308393503576 ...............
[CV]  c1=0.012693066592012175, c2=0.0032984308393503576, score=0.841673 -   1.7s
[CV] c1=0.24735797374657553, c2=0.07713168701193611 ..................
[CV]  c1=0.24735797374657553, c2=0.07713168701193611, score=0.824944 -   1.7s
[CV] c1=0.7106966000095237, c2=2.2397486927223954e-05 ................
[CV]  c1=0.7106966000095237, c2=2.2397486927223954e-05, score=0.694272 -   1.8s
[CV] c1=0.36328706853786136, c2=0.025437490074692704 .................
[CV]  c1=0.36328706853786136, c2=0.025437490074692704, score=0.773097 -   1.7s
[CV] c1=1.1020444078534781, c2=0.04941639282292897 ...................
[CV]  c1=1.1020444078534781, c2=0.04941639282292897, score=0.671292 -   1.9s
[CV] c1=0.21382877169442774, c2=0.10157721874731195 ..................
[CV]  c1=0.21382877169442774, c2=0.10157721874731195, score=0.762948 -   1.8s
[CV] c1=0.22458375024987434, c2=0.03116400806550942 ..................
[CV]  c1=0.22458375024987434, c2=0.03116400806550942, score=0.778106 -   1.7s
[CV] c1=0.36685637247586234, c2=0.03988932514245017 ..................
[CV]  c1=0.36685637247586234, c2=0.03988932514245017, score=0.704960 -   1.2s
[CV] c1=0.4317147720094315, c2=0.1266677994863121 ....................
[CV]  c1=0.4317147720094315, c2=0.1266677994863121, score=0.706914 -   1.3s
[CV] c1=0.06946897378022217, c2=0.10911241336320031 ..................
[CV]  c1=0.06946897378022217, c2=0.10911241336320031, score=0.808631 -   1.8s
[CV] c1=0.16281437587169337, c2=0.010794853833620064 .................
[CV]  c1=0.16281437587169337, c2=0.010794853833620064, score=0.711412 -   1.4s
[CV] c1=0.15124851001284365, c2=0.028954202242571177 .................
[CV]  c1=0.15124851001284365, c2=0.028954202242571177, score=0.685319 -   1.6s
[CV] c1=0.5855569036921096, c2=0.051624358099579604 ..................
[CV]  c1=0.5855569036921096, c2=0.051624358099579604, score=0.878293 -   1.7s
[CV] c1=0.247083841727652, c2=0.033492281487398766 ...................
[CV]  c1=0.247083841727652, c2=0.033492281487398766, score=0.710631 -   1.4s
[CV] c1=0.15962871194991252, c2=0.013995091826742863 .................
[CV]  c1=0.15962871194991252, c2=0.013995091826742863, score=0.853841 -   1.6s
[CV] c1=0.46419545468558926, c2=0.09543580685432403 ..................
[CV]  c1=0.46419545468558926, c2=0.09543580685432403, score=0.839818 -   1.5s
[CV] c1=0.18161727865449523, c2=0.0660754766959145 ...................
[CV]  c1=0.18161727865449523, c2=0.0660754766959145, score=0.690234 -   1.4s
[CV] c1=0.00215352865526112, c2=0.06313155412408121 ..................
[CV]  c1=0.00215352865526112, c2=0.06313155412408121, score=0.883243 -   1.7s
[CV] c1=1.0187830561267885, c2=0.00010008815909971671 ................
[CV]  c1=1.0187830561267885, c2=0.00010008815909971671, score=0.853450 -   1.6s
[CV] c1=0.22458375024987434, c2=0.03116400806550942 ..................
[CV]  c1=0.22458375024987434, c2=0.03116400806550942, score=0.881040 -   1.7s
[CV] c1=0.09411587680920211, c2=0.04923418628646731 ..................
[CV]  c1=0.09411587680920211, c2=0.04923418628646731, score=0.882747 -   1.7s
[CV] c1=0.5164600020012385, c2=0.017165851727381772 ..................
[CV]  c1=0.5164600020012385, c2=0.017165851727381772, score=0.788496 -   1.6s
[CV] c1=0.7187558296814291, c2=0.06461100076670039 ...................
[CV]  c1=0.7187558296814291, c2=0.06461100076670039, score=0.865306 -   1.5s
[CV] c1=0.36650102244065197, c2=0.01345476053377657 ..................
[CV]  c1=0.36650102244065197, c2=0.01345476053377657, score=0.831166 -   1.6s
[CV] c1=0.17246255201328498, c2=0.014809704291674103 .................
[CV]  c1=0.17246255201328498, c2=0.014809704291674103, score=0.798127 -   1.7s
[CV] c1=1.6759325367504554, c2=0.09066280946701845 ...................
[CV]  c1=1.6759325367504554, c2=0.09066280946701845, score=0.549581 -   1.8s
[CV] c1=0.9438696008370991, c2=0.0102046601924192 ....................
[CV]  c1=0.9438696008370991, c2=0.0102046601924192, score=0.795252 -   1.6s
[CV] c1=0.167973343311636, c2=0.07095137947663666 ....................
[CV]  c1=0.167973343311636, c2=0.07095137947663666, score=0.797345 -   1.7s
[CV] c1=0.3378577125598147, c2=0.006337723771265977 ..................
[CV]  c1=0.3378577125598147, c2=0.006337723771265977, score=0.880357 -   1.6s
[CV] c1=0.08834679547206678, c2=0.008551330340196778 .................
[CV]  c1=0.08834679547206678, c2=0.008551330340196778, score=0.875253 -   1.6s
[CV] c1=1.7494559301537862, c2=0.20480237907611662 ...................
[CV]  c1=1.7494559301537862, c2=0.20480237907611662, score=0.785373 -   1.7s
[CV] c1=0.6328224739102621, c2=0.008647554722795894 ..................
[CV]  c1=0.6328224739102621, c2=0.008647554722795894, score=0.746764 -   1.3s
[CV] c1=0.5052507141237603, c2=0.03937754011002452 ...................
[CV]  c1=0.5052507141237603, c2=0.03937754011002452, score=0.874510 -   1.4s
[CV] c1=0.0040751235576365116, c2=0.01827168051095017 ................
[CV]  c1=0.0040751235576365116, c2=0.01827168051095017, score=0.739158 -   1.3s
[CV] c1=0.19326955975335905, c2=0.04086047613763657 ..................
[CV]  c1=0.19326955975335905, c2=0.04086047613763657, score=0.839853 -   1.6s
[CV] c1=0.16281437587169337, c2=0.010794853833620064 .................
[CV]  c1=0.16281437587169337, c2=0.010794853833620064, score=0.850399 -   1.5s
[CV] c1=1.5191916707433781, c2=0.016834888153309316 ..................
[CV]  c1=1.5191916707433781, c2=0.016834888153309316, score=0.758465 -   1.9s
[CV] c1=1.009646348983359, c2=0.024969305958361866 ...................
[CV]  c1=1.009646348983359, c2=0.024969305958361866, score=0.795252 -   1.6s
[CV] c1=0.2949579464962738, c2=0.007089154200188227 ..................
[CV]  c1=0.2949579464962738, c2=0.007089154200188227, score=0.802727 -   1.8s
[CV] c1=0.7106966000095237, c2=2.2397486927223954e-05 ................
[CV]  c1=0.7106966000095237, c2=2.2397486927223954e-05, score=0.802365 -   1.7s
[CV] c1=0.42245346478774054, c2=0.013881436618732593 .................
[CV]  c1=0.42245346478774054, c2=0.013881436618732593, score=0.790064 -   2.0s
[CV] c1=0.5481960907748228, c2=0.038315132990969426 ..................
[CV]  c1=0.5481960907748228, c2=0.038315132990969426, score=0.721051 -   1.8s
[CV] c1=0.21382877169442774, c2=0.10157721874731195 ..................
[CV]  c1=0.21382877169442774, c2=0.10157721874731195, score=0.781664 -   1.8s
[CV] c1=0.22458375024987434, c2=0.03116400806550942 ..................
[CV]  c1=0.22458375024987434, c2=0.03116400806550942, score=0.829150 -   1.7s
[CV] c1=0.002957528711247975, c2=0.0913062879849869 ..................
[CV]  c1=0.002957528711247975, c2=0.0913062879849869, score=0.849438 -   1.7s
[CV] c1=0.5164600020012385, c2=0.017165851727381772 ..................
[CV]  c1=0.5164600020012385, c2=0.017165851727381772, score=0.744567 -   1.7s
[CV] c1=0.7187558296814291, c2=0.06461100076670039 ...................
[CV]  c1=0.7187558296814291, c2=0.06461100076670039, score=0.640594 -   1.4s
[CV] c1=0.36650102244065197, c2=0.01345476053377657 ..................
[CV]  c1=0.36650102244065197, c2=0.01345476053377657, score=0.881875 -   1.6s
[CV] c1=0.17246255201328498, c2=0.014809704291674103 .................
[CV]  c1=0.17246255201328498, c2=0.014809704291674103, score=0.865574 -   1.7s
[CV] c1=1.6759325367504554, c2=0.09066280946701845 ...................
[CV]  c1=1.6759325367504554, c2=0.09066280946701845, score=0.557095 -   1.4s
[CV] c1=1.2865573814724987, c2=0.2503025804647633 ....................
[CV]  c1=1.2865573814724987, c2=0.2503025804647633, score=0.786628 -   1.7s
[CV] c1=0.39331806447358, c2=0.002854660943897952 ....................
[CV]  c1=0.39331806447358, c2=0.002854660943897952, score=0.834559 -   1.6s
[CV] c1=0.7361617327757531, c2=0.08769563400682877 ...................
[CV]  c1=0.7361617327757531, c2=0.08769563400682877, score=0.808540 -   1.5s
[CV] c1=0.5481960907748228, c2=0.038315132990969426 ..................
[CV]  c1=0.5481960907748228, c2=0.038315132990969426, score=0.815476 -   1.8s
[CV] c1=1.0187830561267885, c2=0.00010008815909971671 ................
[CV]  c1=1.0187830561267885, c2=0.00010008815909971671, score=0.669337 -   1.7s
[CV] c1=0.20152495438941637, c2=0.008735534276673411 .................
[CV]  c1=0.20152495438941637, c2=0.008735534276673411, score=0.877377 -   1.7s
[CV] c1=0.3043945522386559, c2=0.08117742523331987 ...................
[CV]  c1=0.3043945522386559, c2=0.08117742523331987, score=0.828225 -   1.6s
[CV] c1=0.41004638245854913, c2=0.1391385338839134 ...................
[CV]  c1=0.41004638245854913, c2=0.1391385338839134, score=0.735245 -   1.7s
[CV] c1=0.14310194627997364, c2=0.05336327958182899 ..................
[CV]  c1=0.14310194627997364, c2=0.05336327958182899, score=0.885300 -   1.7s
[CV] c1=0.042221816038698186, c2=0.03485314922604913 .................
[CV]  c1=0.042221816038698186, c2=0.03485314922604913, score=0.853841 -   1.6s
[CV] c1=0.9004939652719695, c2=0.056702284952156706 ..................
[CV]  c1=0.9004939652719695, c2=0.056702284952156706, score=0.689807 -   1.9s
[CV] c1=0.3712271584532366, c2=0.02261775959437497 ...................
[CV]  c1=0.3712271584532366, c2=0.02261775959437497, score=0.680473 -   1.4s
[CV] c1=1.2865573814724987, c2=0.2503025804647633 ....................
[CV]  c1=1.2865573814724987, c2=0.2503025804647633, score=0.593214 -   1.7s
[CV] c1=0.46419545468558926, c2=0.09543580685432403 ..................
[CV]  c1=0.46419545468558926, c2=0.09543580685432403, score=0.820586 -   1.8s
[CV] c1=0.29620091565143614, c2=0.06119665550800901 ..................
[CV]  c1=0.29620091565143614, c2=0.06119665550800901, score=0.843117 -   1.6s
[CV] c1=0.07966199243279676, c2=0.15477258107488023 ..................
[CV]  c1=0.07966199243279676, c2=0.15477258107488023, score=0.718890 -   1.3s
[CV] c1=1.0187830561267885, c2=0.00010008815909971671 ................
[CV]  c1=1.0187830561267885, c2=0.00010008815909971671, score=0.691281 -   1.7s
[CV] c1=0.20152495438941637, c2=0.008735534276673411 .................
[CV]  c1=0.20152495438941637, c2=0.008735534276673411, score=0.788380 -   1.7s
[CV] c1=0.09411587680920211, c2=0.04923418628646731 ..................
[CV]  c1=0.09411587680920211, c2=0.04923418628646731, score=0.696545 -   1.3s
[CV] c1=0.34043330719961723, c2=0.012604768790887259 .................
[CV]  c1=0.34043330719961723, c2=0.012604768790887259, score=0.708624 -   1.4s
[CV] c1=0.14888729441111856, c2=0.11133749133473143 ..................
[CV]  c1=0.14888729441111856, c2=0.11133749133473143, score=0.784072 -   1.7s
[CV] c1=0.4058556341594968, c2=0.06292106139071095 ...................
[CV]  c1=0.4058556341594968, c2=0.06292106139071095, score=0.812234 -   1.8s
[CV] c1=0.9004939652719695, c2=0.056702284952156706 ..................
[CV]  c1=0.9004939652719695, c2=0.056702284952156706, score=0.667073 -   1.4s
[CV] c1=0.5774116921424715, c2=0.003631872708527396 ..................
[CV]  c1=0.5774116921424715, c2=0.003631872708527396, score=0.746118 -   1.3s
[CV] c1=0.0705763995359831, c2=0.04038414205187755 ...................
[CV]  c1=0.0705763995359831, c2=0.04038414205187755, score=0.874734 -   1.6s
[CV] c1=0.5619933186697499, c2=0.05429160457547105 ...................
[CV]  c1=0.5619933186697499, c2=0.05429160457547105, score=0.874188 -   1.7s
[CV] c1=0.36328706853786136, c2=0.025437490074692704 .................
[CV]  c1=0.36328706853786136, c2=0.025437490074692704, score=0.709959 -   1.5s
[CV] c1=0.34483821758443517, c2=0.0024963771465146348 ................
[CV]  c1=0.34483821758443517, c2=0.0024963771465146348, score=0.829247 -   1.6s
[CV] c1=0.03485266430646109, c2=0.021384059538845982 .................
[CV]  c1=0.03485266430646109, c2=0.021384059538845982, score=0.720064 -   1.3s
[CV] c1=1.7494559301537862, c2=0.20480237907611662 ...................
[CV]  c1=1.7494559301537862, c2=0.20480237907611662, score=0.573086 -   1.8s
[CV] c1=0.6441035789875018, c2=0.05347299053748228 ...................
[CV]  c1=0.6441035789875018, c2=0.05347299053748228, score=0.860704 -   1.4s
[CV] c1=0.36685637247586234, c2=0.03988932514245017 ..................
[CV]  c1=0.36685637247586234, c2=0.03988932514245017, score=0.849933 -   1.4s
[CV] c1=0.2964973677462864, c2=0.09627555222399581 ...................
[CV]  c1=0.2964973677462864, c2=0.09627555222399581, score=0.823110 -   1.7s
[CV] c1=0.14888729441111856, c2=0.11133749133473143 ..................
[CV]  c1=0.14888729441111856, c2=0.11133749133473143, score=0.677836 -   1.4s
[CV] c1=0.21744466940593055, c2=0.02961619103343499 ..................
[CV]  c1=0.21744466940593055, c2=0.02961619103343499, score=0.680526 -   1.4s
[CV] c1=1.5191916707433781, c2=0.016834888153309316 ..................
[CV]  c1=1.5191916707433781, c2=0.016834888153309316, score=0.634604 -   1.9s
[CV] c1=0.012693066592012175, c2=0.0032984308393503576 ...............
[CV]  c1=0.012693066592012175, c2=0.0032984308393503576, score=0.881212 -   1.7s
[CV] c1=0.24735797374657553, c2=0.07713168701193611 ..................
[CV]  c1=0.24735797374657553, c2=0.07713168701193611, score=0.878682 -   1.7s
[CV] c1=0.7106966000095237, c2=2.2397486927223954e-05 ................
[CV]  c1=0.7106966000095237, c2=2.2397486927223954e-05, score=0.743120 -   1.4s
[CV] c1=0.4492839182524381, c2=0.09947770774685671 ...................
[CV]  c1=0.4492839182524381, c2=0.09947770774685671, score=0.736140 -   1.6s
[CV] c1=0.5785109503580617, c2=0.17200651162367397 ...................
[CV]  c1=0.5785109503580617, c2=0.17200651162367397, score=0.692761 -   1.7s
[CV] c1=0.2500002980776953, c2=0.03882655241366348 ...................
[CV]  c1=0.2500002980776953, c2=0.03882655241366348, score=0.834312 -   1.8s
[CV] c1=0.3966087840556497, c2=0.0349601358451071 ....................
[CV]  c1=0.3966087840556497, c2=0.0349601358451071, score=0.827320 -   1.6s
[CV] c1=0.17100993574232032, c2=0.0012164626828660037 ................
[CV]  c1=0.17100993574232032, c2=0.0012164626828660037, score=0.745230 -   1.2s
[CV] c1=0.002957528711247975, c2=0.0913062879849869 ..................
[CV]  c1=0.002957528711247975, c2=0.0913062879849869, score=0.886089 -   2.0s
[CV] c1=1.1939238619247499, c2=0.03488770937592743 ...................
[CV]  c1=1.1939238619247499, c2=0.03488770937592743, score=0.601262 -   1.7s
[CV] c1=0.09070874672234035, c2=0.08861244166148635 ..................
[CV]  c1=0.09070874672234035, c2=0.08861244166148635, score=0.712767 -   1.3s
[CV] c1=0.36650102244065197, c2=0.01345476053377657 ..................
[CV]  c1=0.36650102244065197, c2=0.01345476053377657, score=0.813900 -   1.8s
[CV] c1=0.07211195022955635, c2=0.15506248538697448 ..................
[CV]  c1=0.07211195022955635, c2=0.15506248538697448, score=0.809034 -   1.7s
[CV] c1=0.247083841727652, c2=0.033492281487398766 ...................
[CV]  c1=0.247083841727652, c2=0.033492281487398766, score=0.864419 -   1.7s
[CV] c1=2.6022408864433775, c2=0.05462028385806891 ...................
[CV]  c1=2.6022408864433775, c2=0.05462028385806891, score=0.464666 -   1.3s
[CV] c1=0.46419545468558926, c2=0.09543580685432403 ..................
[CV]  c1=0.46419545468558926, c2=0.09543580685432403, score=0.730665 -   1.8s
[CV] c1=0.29620091565143614, c2=0.06119665550800901 ..................
[CV]  c1=0.29620091565143614, c2=0.06119665550800901, score=0.767625 -   1.7s
[CV] c1=0.07966199243279676, c2=0.15477258107488023 ..................
[CV]  c1=0.07966199243279676, c2=0.15477258107488023, score=0.847591 -   1.6s
[CV] c1=0.6491223788172538, c2=0.08599002298619984 ...................
[CV]  c1=0.6491223788172538, c2=0.08599002298619984, score=0.809799 -   1.8s
[CV] c1=0.6328224739102621, c2=0.008647554722795894 ..................
[CV]  c1=0.6328224739102621, c2=0.008647554722795894, score=0.724604 -   1.6s
[CV] c1=0.09411587680920211, c2=0.04923418628646731 ..................
[CV]  c1=0.09411587680920211, c2=0.04923418628646731, score=0.785962 -   1.6s
[CV] c1=1.1939238619247499, c2=0.03488770937592743 ...................
[CV]  c1=1.1939238619247499, c2=0.03488770937592743, score=0.599355 -   1.2s
[CV] c1=0.14310194627997364, c2=0.05336327958182899 ..................
[CV]  c1=0.14310194627997364, c2=0.05336327958182899, score=0.680136 -   1.3s
[CV] c1=0.9652490711713066, c2=0.02319347072977581 ...................
[CV]  c1=0.9652490711713066, c2=0.02319347072977581, score=0.798727 -   1.6s
[CV] c1=0.051649412549935665, c2=0.0028906900104395178 ...............
[CV]  c1=0.051649412549935665, c2=0.0028906900104395178, score=0.861451 -   1.6s
[CV] c1=0.8080160520043376, c2=0.029037435302947792 ..................
[CV]  c1=0.8080160520043376, c2=0.029037435302947792, score=0.647797 -   1.3s
[CV] c1=0.24735797374657553, c2=0.07713168701193611 ..................
[CV]  c1=0.24735797374657553, c2=0.07713168701193611, score=0.675081 -   1.3s
[CV] c1=0.3862954071642141, c2=0.016668923591959463 ..................
[CV]  c1=0.3862954071642141, c2=0.016668923591959463, score=0.708624 -   1.4s
[CV] c1=0.167973343311636, c2=0.07095137947663666 ....................
[CV]  c1=0.167973343311636, c2=0.07095137947663666, score=0.784072 -   1.7s
[CV] c1=0.3378577125598147, c2=0.006337723771265977 ..................
[CV]  c1=0.3378577125598147, c2=0.006337723771265977, score=0.778319 -   1.7s
[CV] c1=0.2500002980776953, c2=0.03882655241366348 ...................
[CV]  c1=0.2500002980776953, c2=0.03882655241366348, score=0.880764 -   1.6s
[CV] c1=0.24793079438060714, c2=0.0030740627778225167 ................
[CV]  c1=0.24793079438060714, c2=0.0030740627778225167, score=0.854547 -   1.7s
[CV] c1=0.6441035789875018, c2=0.05347299053748228 ...................
[CV]  c1=0.6441035789875018, c2=0.05347299053748228, score=0.682838 -   1.4s
[CV] c1=0.09411587680920211, c2=0.04923418628646731 ..................
[CV]  c1=0.09411587680920211, c2=0.04923418628646731, score=0.846433 -   1.6s
[CV] c1=1.1939238619247499, c2=0.03488770937592743 ...................
[CV]  c1=1.1939238619247499, c2=0.03488770937592743, score=0.832768 -   1.7s
[CV] c1=0.7187558296814291, c2=0.06461100076670039 ...................
[CV]  c1=0.7187558296814291, c2=0.06461100076670039, score=0.697142 -   1.7s
[CV] c1=0.0436411113527872, c2=0.10385821282582697 ...................
[CV]  c1=0.0436411113527872, c2=0.10385821282582697, score=0.791285 -   1.7s
[CV] c1=0.5855569036921096, c2=0.051624358099579604 ..................
[CV]  c1=0.5855569036921096, c2=0.051624358099579604, score=0.731765 -   1.3s
[CV] c1=1.6759325367504554, c2=0.09066280946701845 ...................
[CV]  c1=1.6759325367504554, c2=0.09066280946701845, score=0.785373 -   1.7s
[CV] c1=0.15962871194991252, c2=0.013995091826742863 .................
[CV]  c1=0.15962871194991252, c2=0.013995091826742863, score=0.880660 -   1.7s
[CV] c1=0.46419545468558926, c2=0.09543580685432403 ..................
[CV]  c1=0.46419545468558926, c2=0.09543580685432403, score=0.668543 -   1.4s
[CV] c1=0.5566938515500632, c2=0.0917208370485193 ....................
[CV]  c1=0.5566938515500632, c2=0.0917208370485193, score=0.796246 -   1.9s
[CV] c1=0.00215352865526112, c2=0.06313155412408121 ..................
[CV]  c1=0.00215352865526112, c2=0.06313155412408121, score=0.843908 -   1.7s
[CV] c1=0.14574382279791434, c2=0.016198483012409857 .................
[CV]  c1=0.14574382279791434, c2=0.016198483012409857, score=0.805156 -   1.7s
[CV] c1=0.20152495438941637, c2=0.008735534276673411 .................
[CV]  c1=0.20152495438941637, c2=0.008735534276673411, score=0.820002 -   1.7s
[CV] c1=0.3043945522386559, c2=0.08117742523331987 ...................
[CV]  c1=0.3043945522386559, c2=0.08117742523331987, score=0.875721 -   1.7s
[CV] c1=0.34043330719961723, c2=0.012604768790887259 .................
[CV]  c1=0.34043330719961723, c2=0.012604768790887259, score=0.871583 -   1.7s
[CV] c1=0.14310194627997364, c2=0.05336327958182899 ..................
[CV]  c1=0.14310194627997364, c2=0.05336327958182899, score=0.787126 -   1.7s
[CV] c1=0.042221816038698186, c2=0.03485314922604913 .................
[CV]  c1=0.042221816038698186, c2=0.03485314922604913, score=0.806188 -   1.8s
[CV] c1=0.17246255201328498, c2=0.014809704291674103 .................
[CV]  c1=0.17246255201328498, c2=0.014809704291674103, score=0.851061 -   1.6s
[CV] c1=1.6759325367504554, c2=0.09066280946701845 ...................
[CV]  c1=1.6759325367504554, c2=0.09066280946701845, score=0.720436 -   1.6s
[CV] c1=0.9438696008370991, c2=0.0102046601924192 ....................
[CV]  c1=0.9438696008370991, c2=0.0102046601924192, score=0.867150 -   1.6s
[CV] c1=0.167973343311636, c2=0.07095137947663666 ....................
[CV]  c1=0.167973343311636, c2=0.07095137947663666, score=0.705478 -   1.4s
[CV] c1=0.18161727865449523, c2=0.0660754766959145 ...................
[CV]  c1=0.18161727865449523, c2=0.0660754766959145, score=0.892725 -   1.7s
[CV] c1=0.030176639262120775, c2=0.008755200154704395 ................
[CV]  c1=0.030176639262120775, c2=0.008755200154704395, score=0.814014 -   1.6s
[CV] c1=0.14574382279791434, c2=0.016198483012409857 .................
[CV]  c1=0.14574382279791434, c2=0.016198483012409857, score=0.787487 -   1.8s
[CV] c1=0.5144287061169346, c2=0.08201681970119712 ...................
[CV]  c1=0.5144287061169346, c2=0.08201681970119712, score=0.821174 -   1.6s
[CV] c1=1.2187372701569168, c2=0.02127907275520987 ...................
[CV]  c1=1.2187372701569168, c2=0.02127907275520987, score=0.829751 -   1.5s
[CV] c1=0.4317147720094315, c2=0.1266677994863121 ....................
[CV]  c1=0.4317147720094315, c2=0.1266677994863121, score=0.813244 -   1.8s
[CV] c1=1.698133357428397, c2=0.004896019284917169 ...................
[CV]  c1=1.698133357428397, c2=0.004896019284917169, score=0.574818 -   1.8s
[CV] c1=0.4058556341594968, c2=0.06292106139071095 ...................
[CV]  c1=0.4058556341594968, c2=0.06292106139071095, score=0.869742 -   2.0s
[CV] c1=0.17246255201328498, c2=0.014809704291674103 .................
[CV]  c1=0.17246255201328498, c2=0.014809704291674103, score=0.719697 -   1.4s
[CV] c1=0.5774116921424715, c2=0.003631872708527396 ..................
[CV]  c1=0.5774116921424715, c2=0.003631872708527396, score=0.801959 -   1.6s
[CV] c1=3.6212225551708586, c2=0.1217592686891938 ....................
[CV]  c1=3.6212225551708586, c2=0.1217592686891938, score=0.598110 -   1.7s
[CV] c1=0.037985090490365414, c2=0.015269435115527724 ................
[CV]  c1=0.037985090490365414, c2=0.015269435115527724, score=0.814526 -   1.8s
[CV] c1=0.7361617327757531, c2=0.08769563400682877 ...................
[CV]  c1=0.7361617327757531, c2=0.08769563400682877, score=0.682238 -   2.1s
[CV] c1=0.08834679547206678, c2=0.008551330340196778 .................
[CV]  c1=0.08834679547206678, c2=0.008551330340196778, score=0.804813 -   1.8s
[CV] c1=0.24793079438060714, c2=0.0030740627778225167 ................
[CV]  c1=0.24793079438060714, c2=0.0030740627778225167, score=0.715710 -   1.4s
[CV] c1=0.5144287061169346, c2=0.08201681970119712 ...................
[CV]  c1=0.5144287061169346, c2=0.08201681970119712, score=0.804986 -   1.7s
[CV] c1=1.2187372701569168, c2=0.02127907275520987 ...................
[CV]  c1=1.2187372701569168, c2=0.02127907275520987, score=0.791904 -   1.4s
[CV] c1=0.4317147720094315, c2=0.1266677994863121 ....................
[CV]  c1=0.4317147720094315, c2=0.1266677994863121, score=0.813726 -   1.6s
[CV] c1=0.19326955975335905, c2=0.04086047613763657 ..................
[CV]  c1=0.19326955975335905, c2=0.04086047613763657, score=0.778971 -   1.7s
[CV] c1=0.21744466940593055, c2=0.02961619103343499 ..................
[CV]  c1=0.21744466940593055, c2=0.02961619103343499, score=0.881760 -   1.7s
[CV] c1=0.788302038509038, c2=0.09077937233382459 ....................
[CV]  c1=0.788302038509038, c2=0.09077937233382459, score=0.867150 -   1.7s
[CV] c1=0.012693066592012175, c2=0.0032984308393503576 ...............
[CV]  c1=0.012693066592012175, c2=0.0032984308393503576, score=0.821283 -   1.3s
[CV] c1=0.2949579464962738, c2=0.007089154200188227 ..................
[CV]  c1=0.2949579464962738, c2=0.007089154200188227, score=0.710725 -   1.4s
[CV] c1=0.9438696008370991, c2=0.0102046601924192 ....................
[CV]  c1=0.9438696008370991, c2=0.0102046601924192, score=0.731292 -   1.7s
[CV] c1=1.0031360716662312, c2=0.03800310272453016 ...................
[CV]  c1=1.0031360716662312, c2=0.03800310272453016, score=0.661185 -   1.8s
[CV] c1=0.5785109503580617, c2=0.17200651162367397 ...................
[CV]  c1=0.5785109503580617, c2=0.17200651162367397, score=0.867150 -   1.7s
[CV] c1=0.2500002980776953, c2=0.03882655241366348 ...................
[CV]  c1=0.2500002980776953, c2=0.03882655241366348, score=0.687479 -   1.4s
[CV] c1=0.6491223788172538, c2=0.08599002298619984 ...................
[CV]  c1=0.6491223788172538, c2=0.08599002298619984, score=0.798024 -   1.6s
[CV] c1=0.5144287061169346, c2=0.08201681970119712 ...................
[CV]  c1=0.5144287061169346, c2=0.08201681970119712, score=0.734858 -   1.9s
[CV] c1=0.928073350942558, c2=0.011743434286857916 ...................
[CV]  c1=0.928073350942558, c2=0.011743434286857916, score=0.865306 -   1.7s
[CV] c1=0.5164600020012385, c2=0.017165851727381772 ..................
[CV]  c1=0.5164600020012385, c2=0.017165851727381772, score=0.874510 -   1.7s
[CV] c1=0.24857564299822962, c2=0.08138200098150028 ..................
[CV]  c1=0.24857564299822962, c2=0.08138200098150028, score=0.819696 -   2.0s
[CV] c1=1.5191916707433781, c2=0.016834888153309316 ..................
[CV]  c1=1.5191916707433781, c2=0.016834888153309316, score=0.595668 -   1.3s
[CV] c1=0.07211195022955635, c2=0.15506248538697448 ..................
[CV]  c1=0.07211195022955635, c2=0.15506248538697448, score=0.847591 -   1.6s
[CV] c1=0.3712271584532366, c2=0.02261775959437497 ...................
[CV]  c1=0.3712271584532366, c2=0.02261775959437497, score=0.823110 -   1.8s
[CV] c1=2.6022408864433775, c2=0.05462028385806891 ...................
[CV]  c1=2.6022408864433775, c2=0.05462028385806891, score=0.601552 -   1.5s
[CV] c1=1.0031360716662312, c2=0.03800310272453016 ...................
[CV]  c1=1.0031360716662312, c2=0.03800310272453016, score=0.846567 -   1.8s
[CV] c1=0.3378577125598147, c2=0.006337723771265977 ..................
[CV]  c1=0.3378577125598147, c2=0.006337723771265977, score=0.838642 -   1.6s
[CV] c1=0.08834679547206678, c2=0.008551330340196778 .................
[CV]  c1=0.08834679547206678, c2=0.008551330340196778, score=0.834124 -   1.5s
[CV] c1=1.7494559301537862, c2=0.20480237907611662 ...................
[CV]  c1=1.7494559301537862, c2=0.20480237907611662, score=0.549146 -   1.4s
[CV] c1=0.5144287061169346, c2=0.08201681970119712 ...................
[CV]  c1=0.5144287061169346, c2=0.08201681970119712, score=0.858342 -   1.7s
[CV] c1=0.3043945522386559, c2=0.08117742523331987 ...................
[CV]  c1=0.3043945522386559, c2=0.08117742523331987, score=0.767174 -   1.6s
[CV] c1=0.41004638245854913, c2=0.1391385338839134 ...................
[CV]  c1=0.41004638245854913, c2=0.1391385338839134, score=0.829100 -   1.6s
[CV] c1=0.5253492747565919, c2=0.08532001338507797 ...................
[CV]  c1=0.5253492747565919, c2=0.08532001338507797, score=0.798893 -   1.7s
[CV] c1=0.042221816038698186, c2=0.03485314922604913 .................
[CV]  c1=0.042221816038698186, c2=0.03485314922604913, score=0.805540 -   1.7s
[CV] c1=0.9004939652719695, c2=0.056702284952156706 ..................
[CV]  c1=0.9004939652719695, c2=0.056702284952156706, score=0.793275 -   1.6s
[CV] c1=0.7120391791058338, c2=0.08203367278401347 ...................
[CV]  c1=0.7120391791058338, c2=0.08203367278401347, score=0.806368 -   1.6s
[CV] c1=1.2865573814724987, c2=0.2503025804647633 ....................
[CV]  c1=1.2865573814724987, c2=0.2503025804647633, score=0.621998 -   1.8s
[CV] c1=0.46419545468558926, c2=0.09543580685432403 ..................
[CV]  c1=0.46419545468558926, c2=0.09543580685432403, score=0.856158 -   1.7s
[CV] c1=0.18161727865449523, c2=0.0660754766959145 ...................
[CV]  c1=0.18161727865449523, c2=0.0660754766959145, score=0.779027 -   1.7s
[CV] c1=0.030176639262120775, c2=0.008755200154704395 ................
[CV]  c1=0.030176639262120775, c2=0.008755200154704395, score=0.793728 -   1.8s
[CV] c1=0.6491223788172538, c2=0.08599002298619984 ...................
[CV]  c1=0.6491223788172538, c2=0.08599002298619984, score=0.681653 -   1.7s
[CV] c1=0.6328224739102621, c2=0.008647554722795894 ..................
[CV]  c1=0.6328224739102621, c2=0.008647554722795894, score=0.876435 -   1.6s
[CV] c1=0.928073350942558, c2=0.011743434286857916 ...................
[CV]  c1=0.928073350942558, c2=0.011743434286857916, score=0.679624 -   1.8s
[CV] c1=1.1939238619247499, c2=0.03488770937592743 ...................
[CV]  c1=1.1939238619247499, c2=0.03488770937592743, score=0.636916 -   1.7s
[CV] c1=0.7187558296814291, c2=0.06461100076670039 ...................
[CV]  c1=0.7187558296814291, c2=0.06461100076670039, score=0.819331 -   1.9s
[CV] c1=1.5191916707433781, c2=0.016834888153309316 ..................
[CV]  c1=1.5191916707433781, c2=0.016834888153309316, score=0.811058 -   1.8s
[CV] c1=1.009646348983359, c2=0.024969305958361866 ...................
[CV]  c1=1.009646348983359, c2=0.024969305958361866, score=0.616760 -   1.6s
[CV] c1=0.247083841727652, c2=0.033492281487398766 ...................
[CV]  c1=0.247083841727652, c2=0.033492281487398766, score=0.805171 -   1.7s
[CV] c1=0.3862954071642141, c2=0.016668923591959463 ..................
[CV]  c1=0.3862954071642141, c2=0.016668923591959463, score=0.765727 -   1.7s
[CV] c1=0.4492839182524381, c2=0.09947770774685671 ...................
[CV]  c1=0.4492839182524381, c2=0.09947770774685671, score=0.805300 -   1.6s
[CV] c1=0.5785109503580617, c2=0.17200651162367397 ...................
[CV]  c1=0.5785109503580617, c2=0.17200651162367397, score=0.822437 -   1.8s
[CV] c1=0.03485266430646109, c2=0.021384059538845982 .................
[CV]  c1=0.03485266430646109, c2=0.021384059538845982, score=0.810399 -   1.7s
[CV] c1=0.3966087840556497, c2=0.0349601358451071 ....................
[CV]  c1=0.3966087840556497, c2=0.0349601358451071, score=0.823110 -   1.8s
[CV] c1=0.5411187723323306, c2=0.0050567929620365 ....................
[CV]  c1=0.5411187723323306, c2=0.0050567929620365, score=0.750747 -   1.2s
[CV] c1=0.7347531067369986, c2=0.001027483337180876 ..................
[CV]  c1=0.7347531067369986, c2=0.001027483337180876, score=0.732976 -   1.7s
[CV] c1=0.06946897378022217, c2=0.10911241336320031 ..................
[CV]  c1=0.06946897378022217, c2=0.10911241336320031, score=0.847591 -   1.7s
[CV] c1=0.09070874672234035, c2=0.08861244166148635 ..................
[CV]  c1=0.09070874672234035, c2=0.08861244166148635, score=0.808631 -   1.6s
[CV] c1=0.15124851001284365, c2=0.028954202242571177 .................
[CV]  c1=0.15124851001284365, c2=0.028954202242571177, score=0.790524 -   1.6s
[CV] c1=0.5855569036921096, c2=0.051624358099579604 ..................
[CV]  c1=0.5855569036921096, c2=0.051624358099579604, score=0.811632 -   1.7s
[CV] c1=0.247083841727652, c2=0.033492281487398766 ...................
[CV]  c1=0.247083841727652, c2=0.033492281487398766, score=0.835361 -   1.6s
[CV] c1=2.6022408864433775, c2=0.05462028385806891 ...................
[CV]  c1=2.6022408864433775, c2=0.05462028385806891, score=0.588305 -   1.7s
[CV] c1=1.0031360716662312, c2=0.03800310272453016 ...................
[CV]  c1=1.0031360716662312, c2=0.03800310272453016, score=0.704181 -   1.8s
[CV] c1=0.5785109503580617, c2=0.17200651162367397 ...................
[CV]  c1=0.5785109503580617, c2=0.17200651162367397, score=0.789407 -   1.6s
[CV] c1=0.2500002980776953, c2=0.03882655241366348 ...................
[CV]  c1=0.2500002980776953, c2=0.03882655241366348, score=0.775484 -   1.7s
[CV] c1=0.24793079438060714, c2=0.0030740627778225167 ................
[CV]  c1=0.24793079438060714, c2=0.0030740627778225167, score=0.830070 -   1.7s
[CV] c1=0.6441035789875018, c2=0.05347299053748228 ...................
[CV]  c1=0.6441035789875018, c2=0.05347299053748228, score=0.817299 -   1.4s
[CV] c1=0.7347531067369986, c2=0.001027483337180876 ..................
[CV]  c1=0.7347531067369986, c2=0.001027483337180876, score=0.706636 -   2.0s
[CV] c1=0.19326955975335905, c2=0.04086047613763657 ..................
[CV]  c1=0.19326955975335905, c2=0.04086047613763657, score=0.890113 -   1.6s
[CV] c1=0.16281437587169337, c2=0.010794853833620064 .................
[CV]  c1=0.16281437587169337, c2=0.010794853833620064, score=0.876971 -   1.6s
[CV] c1=0.15124851001284365, c2=0.028954202242571177 .................
[CV]  c1=0.15124851001284365, c2=0.028954202242571177, score=0.851061 -   1.6s
[CV] c1=0.5855569036921096, c2=0.051624358099579604 ..................
[CV]  c1=0.5855569036921096, c2=0.051624358099579604, score=0.721152 -   1.7s
[CV] c1=0.2949579464962738, c2=0.007089154200188227 ..................
[CV]  c1=0.2949579464962738, c2=0.007089154200188227, score=0.880764 -   1.6s
[CV] c1=0.3862954071642141, c2=0.016668923591959463 ..................
[CV]  c1=0.3862954071642141, c2=0.016668923591959463, score=0.875608 -   1.7s
[CV] c1=0.4492839182524381, c2=0.09947770774685671 ...................
[CV]  c1=0.4492839182524381, c2=0.09947770774685671, score=0.869742 -   1.7s
[CV] c1=0.5785109503580617, c2=0.17200651162367397 ...................
[CV]  c1=0.5785109503580617, c2=0.17200651162367397, score=0.630383 -   1.4s
[CV] c1=0.07966199243279676, c2=0.15477258107488023 ..................
[CV]  c1=0.07966199243279676, c2=0.15477258107488023, score=0.814161 -   1.7s
[CV] c1=1.7494559301537862, c2=0.20480237907611662 ...................
[CV]  c1=1.7494559301537862, c2=0.20480237907611662, score=0.731665 -   1.7s
[CV] c1=0.6328224739102621, c2=0.008647554722795894 ..................
[CV]  c1=0.6328224739102621, c2=0.008647554722795894, score=0.802811 -   1.6s
[CV] c1=0.5052507141237603, c2=0.03937754011002452 ...................
[CV]  c1=0.5052507141237603, c2=0.03937754011002452, score=0.699495 -   1.2s
[CV] c1=0.4317147720094315, c2=0.1266677994863121 ....................
[CV]  c1=0.4317147720094315, c2=0.1266677994863121, score=0.739464 -   1.9s
[CV] c1=1.698133357428397, c2=0.004896019284917169 ...................
[CV]  c1=1.698133357428397, c2=0.004896019284917169, score=0.569730 -   1.4s
[CV] c1=0.16281437587169337, c2=0.010794853833620064 .................
[CV]  c1=0.16281437587169337, c2=0.010794853833620064, score=0.811875 -   1.8s
[CV] c1=0.788302038509038, c2=0.09077937233382459 ....................
[CV]  c1=0.788302038509038, c2=0.09077937233382459, score=0.711389 -   1.5s
[CV] c1=1.009646348983359, c2=0.024969305958361866 ...................
[CV]  c1=1.009646348983359, c2=0.024969305958361866, score=0.668640 -   1.7s
[CV] c1=0.2949579464962738, c2=0.007089154200188227 ..................
[CV]  c1=0.2949579464962738, c2=0.007089154200188227, score=0.782080 -   1.8s
[CV] c1=0.7106966000095237, c2=2.2397486927223954e-05 ................
[CV]  c1=0.7106966000095237, c2=2.2397486927223954e-05, score=0.867548 -   1.6s
[CV] c1=0.4492839182524381, c2=0.09947770774685671 ...................
[CV]  c1=0.4492839182524381, c2=0.09947770774685671, score=0.804986 -   1.8s
[CV] c1=0.34483821758443517, c2=0.0024963771465146348 ................
[CV]  c1=0.34483821758443517, c2=0.0024963771465146348, score=0.710631 -   1.4s
[CV] c1=0.08834679547206678, c2=0.008551330340196778 .................
[CV]  c1=0.08834679547206678, c2=0.008551330340196778, score=0.805974 -   1.7s
[CV] c1=0.24793079438060714, c2=0.0030740627778225167 ................
[CV]  c1=0.24793079438060714, c2=0.0030740627778225167, score=0.790960 -   1.8s
[CV] c1=0.6441035789875018, c2=0.05347299053748228 ...................
[CV]  c1=0.6441035789875018, c2=0.05347299053748228, score=0.807445 -   1.4s
[CV] c1=1.2187372701569168, c2=0.02127907275520987 ...................
[CV]  c1=1.2187372701569168, c2=0.02127907275520987, score=0.578880 -   1.5s
[CV] c1=0.2964973677462864, c2=0.09627555222399581 ...................
[CV]  c1=0.2964973677462864, c2=0.09627555222399581, score=0.843117 -   1.7s
[CV] c1=1.698133357428397, c2=0.004896019284917169 ...................
[CV]  c1=1.698133357428397, c2=0.004896019284917169, score=0.808138 -   1.7s
[CV] c1=0.21744466940593055, c2=0.02961619103343499 ..................
[CV]  c1=0.21744466940593055, c2=0.02961619103343499, score=0.852219 -   1.7s
[CV] c1=0.051649412549935665, c2=0.0028906900104395178 ...............
[CV]  c1=0.051649412549935665, c2=0.0028906900104395178, score=0.873932 -   1.8s
[CV] c1=0.8080160520043376, c2=0.029037435302947792 ..................
[CV]  c1=0.8080160520043376, c2=0.029037435302947792, score=0.696160 -   1.9s
[CV] c1=3.6212225551708586, c2=0.1217592686891938 ....................
[CV]  c1=3.6212225551708586, c2=0.1217592686891938, score=0.419593 -   1.8s
[CV] c1=0.39331806447358, c2=0.002854660943897952 ....................
[CV]  c1=0.39331806447358, c2=0.002854660943897952, score=0.801334 -   1.8s
[CV] c1=0.18161727865449523, c2=0.0660754766959145 ...................
[CV]  c1=0.18161727865449523, c2=0.0660754766959145, score=0.786791 -   1.8s
[CV] c1=0.07966199243279676, c2=0.15477258107488023 ..................
[CV]  c1=0.07966199243279676, c2=0.15477258107488023, score=0.777635 -   1.8s
[CV] c1=1.7494559301537862, c2=0.20480237907611662 ...................
[CV]  c1=1.7494559301537862, c2=0.20480237907611662, score=0.602895 -   1.7s
[CV] c1=0.6328224739102621, c2=0.008647554722795894 ..................
[CV]  c1=0.6328224739102621, c2=0.008647554722795894, score=0.806368 -   1.6s
[CV] c1=0.3043945522386559, c2=0.08117742523331987 ...................
[CV]  c1=0.3043945522386559, c2=0.08117742523331987, score=0.817038 -   1.8s
[CV] c1=0.34043330719961723, c2=0.012604768790887259 .................
[CV]  c1=0.34043330719961723, c2=0.012604768790887259, score=0.838833 -   1.7s
[CV] c1=0.24857564299822962, c2=0.08138200098150028 ..................
[CV]  c1=0.24857564299822962, c2=0.08138200098150028, score=0.683146 -   1.3s
[CV] c1=0.4058556341594968, c2=0.06292106139071095 ...................
[CV]  c1=0.4058556341594968, c2=0.06292106139071095, score=0.756495 -   1.7s
[CV] c1=0.426016527368715, c2=0.007145077676604997 ...................
[CV]  c1=0.426016527368715, c2=0.007145077676604997, score=0.751852 -   1.7s
[CV] c1=0.5774116921424715, c2=0.003631872708527396 ..................
[CV]  c1=0.5774116921424715, c2=0.003631872708527396, score=0.763780 -   1.7s
[CV] c1=1.2865573814724987, c2=0.2503025804647633 ....................
[CV]  c1=1.2865573814724987, c2=0.2503025804647633, score=0.560400 -   1.4s
[CV] c1=0.5619933186697499, c2=0.05429160457547105 ...................
[CV]  c1=0.5619933186697499, c2=0.05429160457547105, score=0.813244 -   1.7s
[CV] c1=0.5566938515500632, c2=0.0917208370485193 ....................
[CV]  c1=0.5566938515500632, c2=0.0917208370485193, score=0.700564 -   1.3s
[CV] c1=1.1020444078534781, c2=0.04941639282292897 ...................
[CV]  c1=1.1020444078534781, c2=0.04941639282292897, score=0.849458 -   1.7s
[CV] c1=0.243709882592964, c2=0.07691124454510125 ....................
[CV]  c1=0.243709882592964, c2=0.07691124454510125, score=0.720704 -   1.4s
[CV] c1=0.3966087840556497, c2=0.0349601358451071 ....................
[CV]  c1=0.3966087840556497, c2=0.0349601358451071, score=0.868091 -   1.7s
[CV] c1=0.17100993574232032, c2=0.0012164626828660037 ................
[CV]  c1=0.17100993574232032, c2=0.0012164626828660037, score=0.859905 -   1.5s
[CV] c1=0.5052507141237603, c2=0.03937754011002452 ...................
[CV]  c1=0.5052507141237603, c2=0.03937754011002452, score=0.827320 -   1.3s
[CV] c1=0.0040751235576365116, c2=0.01827168051095017 ................
[CV]  c1=0.0040751235576365116, c2=0.01827168051095017, score=0.856672 -   1.7s
[CV] c1=0.14888729441111856, c2=0.11133749133473143 ..................
[CV]  c1=0.14888729441111856, c2=0.11133749133473143, score=0.866300 -   1.7s
[CV] c1=0.9652490711713066, c2=0.02319347072977581 ...................
[CV]  c1=0.9652490711713066, c2=0.02319347072977581, score=0.655754 -   1.4s
[CV] c1=0.788302038509038, c2=0.09077937233382459 ....................
[CV]  c1=0.788302038509038, c2=0.09077937233382459, score=0.683849 -   1.7s
[CV] c1=0.012693066592012175, c2=0.0032984308393503576 ...............
[CV]  c1=0.012693066592012175, c2=0.0032984308393503576, score=0.792161 -   1.7s
[CV] c1=0.24735797374657553, c2=0.07713168701193611 ..................
[CV]  c1=0.24735797374657553, c2=0.07713168701193611, score=0.819696 -   1.7s
[CV] c1=0.5619933186697499, c2=0.05429160457547105 ...................
[CV]  c1=0.5619933186697499, c2=0.05429160457547105, score=0.703223 -   1.4s
[CV] c1=0.42245346478774054, c2=0.013881436618732593 .................
[CV]  c1=0.42245346478774054, c2=0.013881436618732593, score=0.704292 -   1.4s
[CV] c1=0.3378577125598147, c2=0.006337723771265977 ..................
[CV]  c1=0.3378577125598147, c2=0.006337723771265977, score=0.808799 -   1.8s
[CV] c1=0.2500002980776953, c2=0.03882655241366348 ...................
[CV]  c1=0.2500002980776953, c2=0.03882655241366348, score=0.837657 -   1.7s
[CV] c1=0.24793079438060714, c2=0.0030740627778225167 ................
[CV]  c1=0.24793079438060714, c2=0.0030740627778225167, score=0.802727 -   1.8s
[CV] c1=0.17100993574232032, c2=0.0012164626828660037 ................
[CV]  c1=0.17100993574232032, c2=0.0012164626828660037, score=0.786386 -   1.5s
[CV] c1=0.002957528711247975, c2=0.0913062879849869 ..................
[CV]  c1=0.002957528711247975, c2=0.0913062879849869, score=0.723643 -   1.4s
[CV] c1=0.41004638245854913, c2=0.1391385338839134 ...................
[CV]  c1=0.41004638245854913, c2=0.1391385338839134, score=0.868428 -   1.7s
[CV] c1=0.5253492747565919, c2=0.08532001338507797 ...................
[CV]  c1=0.5253492747565919, c2=0.08532001338507797, score=0.807392 -   1.5s
[CV] c1=0.4058556341594968, c2=0.06292106139071095 ...................
[CV]  c1=0.4058556341594968, c2=0.06292106139071095, score=0.703015 -   1.4s
[CV] c1=0.788302038509038, c2=0.09077937233382459 ....................
[CV]  c1=0.788302038509038, c2=0.09077937233382459, score=0.794586 -   1.6s
[CV] c1=0.012693066592012175, c2=0.0032984308393503576 ...............
[CV]  c1=0.012693066592012175, c2=0.0032984308393503576, score=0.825090 -   1.7s
[CV] c1=0.0705763995359831, c2=0.04038414205187755 ...................
[CV]  c1=0.0705763995359831, c2=0.04038414205187755, score=0.696545 -   1.3s
[CV] c1=0.3862954071642141, c2=0.016668923591959463 ..................
[CV]  c1=0.3862954071642141, c2=0.016668923591959463, score=0.832528 -   1.7s
[CV] c1=0.42245346478774054, c2=0.013881436618732593 .................
[CV]  c1=0.42245346478774054, c2=0.013881436618732593, score=0.866204 -   1.7s
[CV] c1=0.34483821758443517, c2=0.0024963771465146348 ................
[CV]  c1=0.34483821758443517, c2=0.0024963771465146348, score=0.886849 -   1.8s
[CV] c1=0.03485266430646109, c2=0.021384059538845982 .................
[CV]  c1=0.03485266430646109, c2=0.021384059538845982, score=0.857456 -   1.6s
[CV] c1=0.3966087840556497, c2=0.0349601358451071 ....................
[CV]  c1=0.3966087840556497, c2=0.0349601358451071, score=0.768266 -   1.8s
[CV] c1=0.17100993574232032, c2=0.0012164626828660037 ................
[CV]  c1=0.17100993574232032, c2=0.0012164626828660037, score=0.842991 -   1.4s
[CV] c1=0.928073350942558, c2=0.011743434286857916 ...................
[CV]  c1=0.928073350942558, c2=0.011743434286857916, score=0.796651 -   1.6s
[CV] c1=0.5164600020012385, c2=0.017165851727381772 ..................
[CV]  c1=0.5164600020012385, c2=0.017165851727381772, score=0.821887 -   1.6s
[CV] c1=0.24857564299822962, c2=0.08138200098150028 ..................
[CV]  c1=0.24857564299822962, c2=0.08138200098150028, score=0.834934 -   1.7s
[CV] c1=0.0436411113527872, c2=0.10385821282582697 ...................
[CV]  c1=0.0436411113527872, c2=0.10385821282582697, score=0.879897 -   1.7s
[CV] c1=0.07211195022955635, c2=0.15506248538697448 ..................
[CV]  c1=0.07211195022955635, c2=0.15506248538697448, score=0.723222 -   1.3s
[CV] c1=0.7120391791058338, c2=0.08203367278401347 ...................
[CV]  c1=0.7120391791058338, c2=0.08203367278401347, score=0.686151 -   1.8s
[CV] c1=0.15962871194991252, c2=0.013995091826742863 .................
[CV]  c1=0.15962871194991252, c2=0.013995091826742863, score=0.706196 -   1.4s
[CV] c1=0.037985090490365414, c2=0.015269435115527724 ................
[CV]  c1=0.037985090490365414, c2=0.015269435115527724, score=0.848479 -   1.6s
[CV] c1=0.5566938515500632, c2=0.0917208370485193 ....................
[CV]  c1=0.5566938515500632, c2=0.0917208370485193, score=0.798024 -   1.7s
[CV] c1=0.5481960907748228, c2=0.038315132990969426 ..................
[CV]  c1=0.5481960907748228, c2=0.038315132990969426, score=0.805300 -   1.6s
[CV] c1=0.21382877169442774, c2=0.10157721874731195 ..................
[CV]  c1=0.21382877169442774, c2=0.10157721874731195, score=0.675081 -   1.3s
[CV] c1=0.2443923350158446, c2=0.0762501116649861 ....................
[CV]  c1=0.2443923350158446, c2=0.0762501116649861, score=0.765334 -   1.7s
[CV] c1=0.5411187723323306, c2=0.0050567929620365 ....................
[CV]  c1=0.5411187723323306, c2=0.0050567929620365, score=0.824972 -   1.2s
[CV] c1=0.928073350942558, c2=0.011743434286857916 ...................
[CV]  c1=0.928073350942558, c2=0.011743434286857916, score=0.715647 -   1.4s
[CV] c1=0.41004638245854913, c2=0.1391385338839134 ...................
[CV]  c1=0.41004638245854913, c2=0.1391385338839134, score=0.807642 -   1.8s
[CV] c1=0.14310194627997364, c2=0.05336327958182899 ..................
[CV]  c1=0.14310194627997364, c2=0.05336327958182899, score=0.847591 -   1.5s
[CV] c1=0.042221816038698186, c2=0.03485314922604913 .................
[CV]  c1=0.042221816038698186, c2=0.03485314922604913, score=0.703615 -   1.4s
[CV] c1=0.051649412549935665, c2=0.0028906900104395178 ...............
[CV]  c1=0.051649412549935665, c2=0.0028906900104395178, score=0.781628 -   1.7s
[CV] c1=0.5774116921424715, c2=0.003631872708527396 ..................
[CV]  c1=0.5774116921424715, c2=0.003631872708527396, score=0.854469 -   1.7s
[CV] c1=0.0705763995359831, c2=0.04038414205187755 ...................
[CV]  c1=0.0705763995359831, c2=0.04038414205187755, score=0.791285 -   1.6s
[CV] c1=0.037985090490365414, c2=0.015269435115527724 ................
[CV]  c1=0.037985090490365414, c2=0.015269435115527724, score=0.734102 -   1.3s
[CV] c1=0.36328706853786136, c2=0.025437490074692704 .................
[CV]  c1=0.36328706853786136, c2=0.025437490074692704, score=0.877773 -   1.7s
[CV] c1=1.1020444078534781, c2=0.04941639282292897 ...................
[CV]  c1=1.1020444078534781, c2=0.04941639282292897, score=0.637269 -   1.3s
[CV] c1=0.03485266430646109, c2=0.021384059538845982 .................
[CV]  c1=0.03485266430646109, c2=0.021384059538845982, score=0.868206 -   1.7s
[CV] c1=0.3966087840556497, c2=0.0349601358451071 ....................
[CV]  c1=0.3966087840556497, c2=0.0349601358451071, score=0.704292 -   1.5s
[CV] c1=0.6441035789875018, c2=0.05347299053748228 ...................
[CV]  c1=0.6441035789875018, c2=0.05347299053748228, score=0.705449 -   1.6s
[CV] c1=0.5052507141237603, c2=0.03937754011002452 ...................
[CV]  c1=0.5052507141237603, c2=0.03937754011002452, score=0.798540 -   1.6s
[CV] c1=0.41004638245854913, c2=0.1391385338839134 ...................
[CV]  c1=0.41004638245854913, c2=0.1391385338839134, score=0.660905 -   1.4s
[CV] c1=1.698133357428397, c2=0.004896019284917169 ...................
[CV]  c1=1.698133357428397, c2=0.004896019284917169, score=0.709139 -   1.7s
[CV] c1=0.21744466940593055, c2=0.02961619103343499 ..................
[CV]  c1=0.21744466940593055, c2=0.02961619103343499, score=0.831594 -   1.7s
[CV] c1=0.051649412549935665, c2=0.0028906900104395178 ...............
[CV]  c1=0.051649412549935665, c2=0.0028906900104395178, score=0.738698 -   1.3s
[CV] c1=1.009646348983359, c2=0.024969305958361866 ...................
[CV]  c1=1.009646348983359, c2=0.024969305958361866, score=0.687596 -   1.7s
[CV] c1=0.24735797374657553, c2=0.07713168701193611 ..................
[CV]  c1=0.24735797374657553, c2=0.07713168701193611, score=0.761462 -   1.7s
[CV] c1=0.7106966000095237, c2=2.2397486927223954e-05 ................
[CV]  c1=0.7106966000095237, c2=2.2397486927223954e-05, score=0.722967 -   1.7s
[CV] c1=0.42245346478774054, c2=0.013881436618732593 .................
[CV]  c1=0.42245346478774054, c2=0.013881436618732593, score=0.832528 -   1.6s
[CV] c1=0.34483821758443517, c2=0.0024963771465146348 ................
[CV]  c1=0.34483821758443517, c2=0.0024963771465146348, score=0.789641 -   1.7s
[CV] c1=0.03485266430646109, c2=0.021384059538845982 .................
[CV]  c1=0.03485266430646109, c2=0.021384059538845982, score=0.840323 -   1.7s
[CV] c1=0.2443923350158446, c2=0.0762501116649861 ....................
[CV]  c1=0.2443923350158446, c2=0.0762501116649861, score=0.871376 -   1.7s
[CV] c1=0.5411187723323306, c2=0.0050567929620365 ....................
[CV]  c1=0.5411187723323306, c2=0.0050567929620365, score=0.874510 -   1.3s
[CV] c1=0.36685637247586234, c2=0.03988932514245017 ..................
[CV]  c1=0.36685637247586234, c2=0.03988932514245017, score=0.763373 -   1.6s
[CV] c1=0.0040751235576365116, c2=0.01827168051095017 ................
[CV]  c1=0.0040751235576365116, c2=0.01827168051095017, score=0.831600 -   1.7s
[CV] c1=0.5253492747565919, c2=0.08532001338507797 ...................
[CV]  c1=0.5253492747565919, c2=0.08532001338507797, score=0.865622 -   1.7s
[CV] c1=0.4058556341594968, c2=0.06292106139071095 ...................
[CV]  c1=0.4058556341594968, c2=0.06292106139071095, score=0.829351 -   1.6s
[CV] c1=0.426016527368715, c2=0.007145077676604997 ...................
[CV]  c1=0.426016527368715, c2=0.007145077676604997, score=0.869512 -   1.8s
[CV] c1=0.7120391791058338, c2=0.08203367278401347 ...................
[CV]  c1=0.7120391791058338, c2=0.08203367278401347, score=0.638639 -   1.4s
[CV] c1=0.0705763995359831, c2=0.04038414205187755 ...................
[CV]  c1=0.0705763995359831, c2=0.04038414205187755, score=0.846433 -   1.7s
[CV] c1=0.5619933186697499, c2=0.05429160457547105 ...................
[CV]  c1=0.5619933186697499, c2=0.05429160457547105, score=0.798024 -   1.6s
[CV] c1=0.36328706853786136, c2=0.025437490074692704 .................
[CV]  c1=0.36328706853786136, c2=0.025437490074692704, score=0.839236 -   1.7s
[CV] c1=1.1020444078534781, c2=0.04941639282292897 ...................
[CV]  c1=1.1020444078534781, c2=0.04941639282292897, score=0.626069 -   2.0s
[CV] c1=1.0187830561267885, c2=0.00010008815909971671 ................
[CV]  c1=1.0187830561267885, c2=0.00010008815909971671, score=0.613273 -   1.4s
[CV] c1=0.09725410687130377, c2=0.07236828375508307 ..................
[CV]  c1=0.09725410687130377, c2=0.07236828375508307, score=0.885858 -   1.6s
[CV] c1=0.5173218860272812, c2=0.01783846153365031 ...................
[CV]  c1=0.5173218860272812, c2=0.01783846153365031, score=0.714985 -   1.1s
[CV] c1=0.36685637247586234, c2=0.03988932514245017 ..................
[CV]  c1=0.36685637247586234, c2=0.03988932514245017, score=0.875638 -   1.4s
[CV] c1=0.2964973677462864, c2=0.09627555222399581 ...................
[CV]  c1=0.2964973677462864, c2=0.09627555222399581, score=0.712462 -   1.3s
[CV] c1=0.19326955975335905, c2=0.04086047613763657 ..................
[CV]  c1=0.19326955975335905, c2=0.04086047613763657, score=0.700486 -   1.4s
[CV] c1=0.09070874672234035, c2=0.08861244166148635 ..................
[CV]  c1=0.09070874672234035, c2=0.08861244166148635, score=0.792275 -   1.7s
[CV] c1=0.15124851001284365, c2=0.028954202242571177 .................
[CV]  c1=0.15124851001284365, c2=0.028954202242571177, score=0.803530 -   1.8s
[CV] c1=1.009646348983359, c2=0.024969305958361866 ...................
[CV]  c1=1.009646348983359, c2=0.024969305958361866, score=0.840497 -   1.9s
[CV] c1=0.2949579464962738, c2=0.007089154200188227 ..................
[CV]  c1=0.2949579464962738, c2=0.007089154200188227, score=0.827237 -   1.7s
[CV] c1=0.3862954071642141, c2=0.016668923591959463 ..................
[CV]  c1=0.3862954071642141, c2=0.016668923591959463, score=0.799545 -   1.8s
[CV] c1=0.42245346478774054, c2=0.013881436618732593 .................
[CV]  c1=0.42245346478774054, c2=0.013881436618732593, score=0.762889 -   1.8s
[CV] c1=0.34483821758443517, c2=0.0024963771465146348 ................
[CV]  c1=0.34483821758443517, c2=0.0024963771465146348, score=0.783715 -   1.7s
[CV] c1=0.243709882592964, c2=0.07691124454510125 ....................
[CV]  c1=0.243709882592964, c2=0.07691124454510125, score=0.872607 -   1.7s
[CV] c1=0.2443923350158446, c2=0.0762501116649861 ....................
[CV]  c1=0.2443923350158446, c2=0.0762501116649861, score=0.725036 -   1.6s
[CV] c1=0.17100993574232032, c2=0.0012164626828660037 ................
[CV]  c1=0.17100993574232032, c2=0.0012164626828660037, score=0.822446 -   1.4s
[CV] c1=0.36685637247586234, c2=0.03988932514245017 ..................
[CV]  c1=0.36685637247586234, c2=0.03988932514245017, score=0.807843 -   1.6s
[CV] c1=0.0040751235576365116, c2=0.01827168051095017 ................
[CV]  c1=0.0040751235576365116, c2=0.01827168051095017, score=0.850395 -   1.7s
[CV] c1=0.5253492747565919, c2=0.08532001338507797 ...................
[CV]  c1=0.5253492747565919, c2=0.08532001338507797, score=0.720061 -   1.4s
[CV] c1=0.9652490711713066, c2=0.02319347072977581 ...................
[CV]  c1=0.9652490711713066, c2=0.02319347072977581, score=0.858386 -   1.7s
[CV] c1=0.051649412549935665, c2=0.0028906900104395178 ...............
[CV]  c1=0.051649412549935665, c2=0.0028906900104395178, score=0.819262 -   1.7s
[CV] c1=0.8080160520043376, c2=0.029037435302947792 ..................
[CV]  c1=0.8080160520043376, c2=0.029037435302947792, score=0.798606 -   1.9s
[CV] c1=3.6212225551708586, c2=0.1217592686891938 ....................
[CV]  c1=3.6212225551708586, c2=0.1217592686891938, score=0.497803 -   1.6s
[CV] c1=0.39331806447358, c2=0.002854660943897952 ....................
[CV]  c1=0.39331806447358, c2=0.002854660943897952, score=0.866533 -   1.7s
[CV] c1=0.7361617327757531, c2=0.08769563400682877 ...................
[CV]  c1=0.7361617327757531, c2=0.08769563400682877, score=0.867150 -   1.8s
[CV] c1=0.00215352865526112, c2=0.06313155412408121 ..................
[CV]  c1=0.00215352865526112, c2=0.06313155412408121, score=0.853841 -   1.6s
[CV] c1=1.0187830561267885, c2=0.00010008815909971671 ................
[CV]  c1=1.0187830561267885, c2=0.00010008815909971671, score=0.804801 -   1.6s
[CV] c1=0.22458375024987434, c2=0.03116400806550942 ..................
[CV]  c1=0.22458375024987434, c2=0.03116400806550942, score=0.700587 -   1.4s
[CV] c1=0.5173218860272812, c2=0.01783846153365031 ...................
[CV]  c1=0.5173218860272812, c2=0.01783846153365031, score=0.874510 -   1.2s
[CV] c1=0.7347531067369986, c2=0.001027483337180876 ..................
[CV]  c1=0.7347531067369986, c2=0.001027483337180876, score=0.804336 -   1.6s
[CV] c1=0.06946897378022217, c2=0.10911241336320031 ..................
[CV]  c1=0.06946897378022217, c2=0.10911241336320031, score=0.883300 -   1.6s
[CV] c1=0.7187558296814291, c2=0.06461100076670039 ...................
[CV]  c1=0.7187558296814291, c2=0.06461100076670039, score=0.751721 -   1.6s
[CV] c1=0.0436411113527872, c2=0.10385821282582697 ...................
[CV]  c1=0.0436411113527872, c2=0.10385821282582697, score=0.819813 -   1.6s
[CV] c1=0.07211195022955635, c2=0.15506248538697448 ..................
[CV]  c1=0.07211195022955635, c2=0.15506248538697448, score=0.794184 -   1.6s
[CV] c1=0.3712271584532366, c2=0.02261775959437497 ...................
[CV]  c1=0.3712271584532366, c2=0.02261775959437497, score=0.834559 -   1.6s
[CV] c1=0.9438696008370991, c2=0.0102046601924192 ....................
[CV]  c1=0.9438696008370991, c2=0.0102046601924192, score=0.715647 -   1.3s
[CV] c1=0.39331806447358, c2=0.002854660943897952 ....................
[CV]  c1=0.39331806447358, c2=0.002854660943897952, score=0.751934 -   1.4s
[CV] c1=0.5566938515500632, c2=0.0917208370485193 ....................
[CV]  c1=0.5566938515500632, c2=0.0917208370485193, score=0.858457 -   1.6s
[CV] c1=0.5481960907748228, c2=0.038315132990969426 ..................
[CV]  c1=0.5481960907748228, c2=0.038315132990969426, score=0.863375 -   1.7s
[CV] c1=0.21382877169442774, c2=0.10157721874731195 ..................
[CV]  c1=0.21382877169442774, c2=0.10157721874731195, score=0.871050 -   1.6s
[CV] c1=0.09725410687130377, c2=0.07236828375508307 ..................
[CV]  c1=0.09725410687130377, c2=0.07236828375508307, score=0.712767 -   1.3s
[CV] c1=0.5411187723323306, c2=0.0050567929620365 ....................
[CV]  c1=0.5411187723323306, c2=0.0050567929620365, score=0.756586 -   1.4s
[CV] c1=0.3043945522386559, c2=0.08117742523331987 ...................
[CV]  c1=0.3043945522386559, c2=0.08117742523331987, score=0.720704 -   1.2s
[CV] c1=0.2964973677462864, c2=0.09627555222399581 ...................
[CV]  c1=0.2964973677462864, c2=0.09627555222399581, score=0.871050 -   1.8s
[CV] c1=1.698133357428397, c2=0.004896019284917169 ...................
[CV]  c1=1.698133357428397, c2=0.004896019284917169, score=0.603592 -   1.7s
[CV] c1=0.21744466940593055, c2=0.02961619103343499 ..................
[CV]  c1=0.21744466940593055, c2=0.02961619103343499, score=0.765275 -   1.7s
[CV] c1=0.788302038509038, c2=0.09077937233382459 ....................
[CV]  c1=0.788302038509038, c2=0.09077937233382459, score=0.720610 -   1.8s
[CV] c1=0.8080160520043376, c2=0.029037435302947792 ..................
[CV]  c1=0.8080160520043376, c2=0.029037435302947792, score=0.692957 -   1.8s
[CV] c1=3.6212225551708586, c2=0.1217592686891938 ....................
[CV]  c1=3.6212225551708586, c2=0.1217592686891938, score=0.554726 -   1.7s
[CV] c1=0.037985090490365414, c2=0.015269435115527724 ................
[CV]  c1=0.037985090490365414, c2=0.015269435115527724, score=0.808631 -   1.8s
[CV] c1=0.7361617327757531, c2=0.08769563400682877 ...................
[CV]  c1=0.7361617327757531, c2=0.08769563400682877, score=0.674844 -   1.4s
[CV] c1=0.5481960907748228, c2=0.038315132990969426 ..................
[CV]  c1=0.5481960907748228, c2=0.038315132990969426, score=0.750747 -   1.4s
[CV] c1=0.243709882592964, c2=0.07691124454510125 ....................
[CV]  c1=0.243709882592964, c2=0.07691124454510125, score=0.763753 -   1.7s
[CV] c1=0.2443923350158446, c2=0.0762501116649861 ....................
[CV]  c1=0.2443923350158446, c2=0.0762501116649861, score=0.834934 -   1.6s
[CV] c1=0.5411187723323306, c2=0.0050567929620365 ....................
[CV]  c1=0.5411187723323306, c2=0.0050567929620365, score=0.806262 -   1.3s
[CV] c1=0.7347531067369986, c2=0.001027483337180876 ..................
[CV]  c1=0.7347531067369986, c2=0.001027483337180876, score=0.781127 -   1.3s
[CV] c1=0.34043330719961723, c2=0.012604768790887259 .................
[CV]  c1=0.34043330719961723, c2=0.012604768790887259, score=0.823110 -   1.7s
[CV] c1=0.24857564299822962, c2=0.08138200098150028 ..................
[CV]  c1=0.24857564299822962, c2=0.08138200098150028, score=0.761462 -   1.7s
[CV] c1=0.0436411113527872, c2=0.10385821282582697 ...................
[CV]  c1=0.0436411113527872, c2=0.10385821282582697, score=0.724148 -   1.4s
[CV] c1=0.9004939652719695, c2=0.056702284952156706 ..................
[CV]  c1=0.9004939652719695, c2=0.056702284952156706, score=0.699960 -   1.7s
[CV] c1=1.6759325367504554, c2=0.09066280946701845 ...................
[CV]  c1=1.6759325367504554, c2=0.09066280946701845, score=0.611032 -   1.7s
[CV] c1=0.15962871194991252, c2=0.013995091826742863 .................
[CV]  c1=0.15962871194991252, c2=0.013995091826742863, score=0.831594 -   1.7s
[CV] c1=0.167973343311636, c2=0.07095137947663666 ....................
[CV]  c1=0.167973343311636, c2=0.07095137947663666, score=0.847591 -   1.6s
[CV] c1=0.29620091565143614, c2=0.06119665550800901 ..................
[CV]  c1=0.29620091565143614, c2=0.06119665550800901, score=0.706299 -   1.3s
[CV] c1=0.00215352865526112, c2=0.06313155412408121 ..................
[CV]  c1=0.00215352865526112, c2=0.06313155412408121, score=0.833201 -   1.7s
[CV] c1=0.14574382279791434, c2=0.016198483012409857 .................
[CV]  c1=0.14574382279791434, c2=0.016198483012409857, score=0.683984 -   1.3s
[CV] c1=0.09725410687130377, c2=0.07236828375508307 ..................
[CV]  c1=0.09725410687130377, c2=0.07236828375508307, score=0.847591 -   1.6s
[CV] c1=0.5173218860272812, c2=0.01783846153365031 ...................
[CV]  c1=0.5173218860272812, c2=0.01783846153365031, score=0.734282 -   1.1s
[CV] c1=0.7347531067369986, c2=0.001027483337180876 ..................
[CV]  c1=0.7347531067369986, c2=0.001027483337180876, score=0.859173 -   1.7s
[CV] c1=0.06946897378022217, c2=0.10911241336320031 ..................
[CV]  c1=0.06946897378022217, c2=0.10911241336320031, score=0.814061 -   1.7s
[CV] c1=0.09070874672234035, c2=0.08861244166148635 ..................
[CV]  c1=0.09070874672234035, c2=0.08861244166148635, score=0.847591 -   1.5s
[CV] c1=0.0436411113527872, c2=0.10385821282582697 ...................
[CV]  c1=0.0436411113527872, c2=0.10385821282582697, score=0.805639 -   1.6s
[CV] c1=0.17246255201328498, c2=0.014809704291674103 .................
[CV]  c1=0.17246255201328498, c2=0.014809704291674103, score=0.814319 -   1.7s
[CV] c1=0.3712271584532366, c2=0.02261775959437497 ...................
[CV]  c1=0.3712271584532366, c2=0.02261775959437497, score=0.776050 -   1.8s
[CV] c1=2.6022408864433775, c2=0.05462028385806891 ...................
[CV]  c1=2.6022408864433775, c2=0.05462028385806891, score=0.767676 -   1.6s
[CV] c1=1.0031360716662312, c2=0.03800310272453016 ...................
[CV]  c1=1.0031360716662312, c2=0.03800310272453016, score=0.621706 -   1.3s
[CV] c1=0.18161727865449523, c2=0.0660754766959145 ...................
[CV]  c1=0.18161727865449523, c2=0.0660754766959145, score=0.852219 -   1.6s
[CV] c1=0.030176639262120775, c2=0.008755200154704395 ................
[CV]  c1=0.030176639262120775, c2=0.008755200154704395, score=0.851259 -   1.6s
[CV] c1=0.14574382279791434, c2=0.016198483012409857 .................
[CV]  c1=0.14574382279791434, c2=0.016198483012409857, score=0.876562 -   1.7s
[CV] c1=0.20152495438941637, c2=0.008735534276673411 .................
[CV]  c1=0.20152495438941637, c2=0.008735534276673411, score=0.738985 -   1.3s
[CV] c1=0.5173218860272812, c2=0.01783846153365031 ...................
[CV]  c1=0.5173218860272812, c2=0.01783846153365031, score=0.808616 -   1.1s
Training done in: 23.418049s
     Saving training model...
        Saving training model done in: 0.013172s
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Prediction done in: 0.039777s