Run7_v2.txt
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-------------------------------- PARAMETERS --------------------------------
Path of training data set: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
File with training data set: training-data-set-70_v4.txt
Path of test data set: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
File with test data set: test-data-set-30_v4.txt
Exclude stop words: False
Levels: False True
Report file: _v2
Exclude symbols: False
-------------------------------- PROCESSING --------------------------------
Reading corpus...
Sentences training data: 283
Sentences test data: 122
Reading corpus done in: 0.003552s
-------------------------------- FEATURES --------------------------------
--------------------------Features Training ---------------------------
0 1
0 lemma 1
1 postag CD
2 -1:lemma pq
3 -1:postag NN
4 word 1
5 isUpper False
6 isLower False
7 isGreek False
8 isNumber True
9 -1:word PQ
10 -2:lemma δsoxs
11 -2:postag NN
--------------------------- FeaturesTest -----------------------------
0 1
0 lemma delta-fnr
1 postag NN
2 -1:lemma _
3 -1:postag NN
4 +1:lemma _
5 +1:postag CD
6 word delta-fnr
7 isUpper False
8 isLower True
9 isGreek False
10 isNumber False
11 -1:word _
12 +1:word _
13 -2:lemma affyexp
14 -2:postag JJ
15 +2:lemma glucose
16 +2:postag NN
Fitting 10 folds for each of 20 candidates, totalling 200 fits
[CV] c1=0.17002935344175654, c2=0.03048089985747861 ..................
[CV] c1=0.17002935344175654, c2=0.03048089985747861, score=0.930099 - 1.6s
[CV] c1=0.4722267453140106, c2=0.001685255428968536 ..................
[CV] c1=0.4722267453140106, c2=0.001685255428968536, score=0.909545 - 1.9s
[CV] c1=0.038297678976678046, c2=0.1916126137406044 ..................
[CV] c1=0.038297678976678046, c2=0.1916126137406044, score=0.636866 - 1.5s
[CV] c1=0.22369184983412724, c2=0.0039152206686826506 ................
[CV] c1=0.22369184983412724, c2=0.0039152206686826506, score=0.766937 - 1.6s
[CV] c1=0.7316013853643798, c2=0.25017196058094404 ...................
[CV] c1=0.7316013853643798, c2=0.25017196058094404, score=0.619815 - 1.4s
[CV] c1=0.7934403590252077, c2=0.010140047052715413 ..................
[CV] c1=0.7934403590252077, c2=0.010140047052715413, score=0.751476 - 1.6s
[CV] c1=1.2484765854262996, c2=0.03066474574094165 ...................
[CV] c1=1.2484765854262996, c2=0.03066474574094165, score=0.724597 - 1.5s
[CV] c1=0.038297678976678046, c2=0.1916126137406044 ..................
[CV] c1=0.038297678976678046, c2=0.1916126137406044, score=0.788344 - 1.6s
[CV] c1=0.22369184983412724, c2=0.0039152206686826506 ................
[CV] c1=0.22369184983412724, c2=0.0039152206686826506, score=0.850760 - 1.6s
[CV] c1=0.16521043789445478, c2=0.12734995352729425 ..................
[CV] c1=0.16521043789445478, c2=0.12734995352729425, score=0.930099 - 1.6s
[CV] c1=0.08911978010699523, c2=0.0017540149814192383 ................
[CV] c1=0.08911978010699523, c2=0.0017540149814192383, score=0.614273 - 1.2s
[CV] c1=1.2484765854262996, c2=0.03066474574094165 ...................
[CV] c1=1.2484765854262996, c2=0.03066474574094165, score=0.630631 - 1.3s
[CV] c1=0.038297678976678046, c2=0.1916126137406044 ..................
[CV] c1=0.038297678976678046, c2=0.1916126137406044, score=0.893154 - 1.7s
[CV] c1=0.22369184983412724, c2=0.0039152206686826506 ................
[CV] c1=0.22369184983412724, c2=0.0039152206686826506, score=0.906170 - 1.6s
[CV] c1=0.7316013853643798, c2=0.25017196058094404 ...................
[CV] c1=0.7316013853643798, c2=0.25017196058094404, score=0.849859 - 1.5s
[CV] c1=0.7934403590252077, c2=0.010140047052715413 ..................
[CV] c1=0.7934403590252077, c2=0.010140047052715413, score=0.711614 - 1.6s
[CV] c1=1.2484765854262996, c2=0.03066474574094165 ...................
[CV] c1=1.2484765854262996, c2=0.03066474574094165, score=0.711518 - 1.6s
[CV] c1=0.038297678976678046, c2=0.1916126137406044 ..................
[CV] c1=0.038297678976678046, c2=0.1916126137406044, score=0.930099 - 1.7s
[CV] c1=0.22369184983412724, c2=0.0039152206686826506 ................
[CV] c1=0.22369184983412724, c2=0.0039152206686826506, score=0.686192 - 1.4s
[CV] c1=0.7316013853643798, c2=0.25017196058094404 ...................
[CV] c1=0.7316013853643798, c2=0.25017196058094404, score=0.856270 - 1.5s
[CV] c1=0.7934403590252077, c2=0.010140047052715413 ..................
[CV] c1=0.7934403590252077, c2=0.010140047052715413, score=0.874769 - 1.7s
[CV] c1=1.2484765854262996, c2=0.03066474574094165 ...................
[CV] c1=1.2484765854262996, c2=0.03066474574094165, score=0.812021 - 1.6s
[CV] c1=0.038297678976678046, c2=0.1916126137406044 ..................
[CV] c1=0.038297678976678046, c2=0.1916126137406044, score=0.845019 - 1.6s
[CV] c1=0.22369184983412724, c2=0.0039152206686826506 ................
[CV] c1=0.22369184983412724, c2=0.0039152206686826506, score=0.765174 - 1.6s
[CV] c1=0.7316013853643798, c2=0.25017196058094404 ...................
[CV] c1=0.7316013853643798, c2=0.25017196058094404, score=0.740712 - 1.5s
[CV] c1=0.7934403590252077, c2=0.010140047052715413 ..................
[CV] c1=0.7934403590252077, c2=0.010140047052715413, score=0.844591 - 1.5s
[CV] c1=1.2484765854262996, c2=0.03066474574094165 ...................
[CV] c1=1.2484765854262996, c2=0.03066474574094165, score=0.656309 - 1.6s
[CV] c1=0.038297678976678046, c2=0.1916126137406044 ..................
[CV] c1=0.038297678976678046, c2=0.1916126137406044, score=0.734369 - 1.8s
[CV] c1=0.22369184983412724, c2=0.0039152206686826506 ................
[CV] c1=0.22369184983412724, c2=0.0039152206686826506, score=0.660529 - 1.7s
[CV] c1=0.7316013853643798, c2=0.25017196058094404 ...................
[CV] c1=0.7316013853643798, c2=0.25017196058094404, score=0.697156 - 1.5s
[CV] c1=0.7934403590252077, c2=0.010140047052715413 ..................
[CV] c1=0.7934403590252077, c2=0.010140047052715413, score=0.622141 - 1.2s
[CV] c1=1.2484765854262996, c2=0.03066474574094165 ...................
[CV] c1=1.2484765854262996, c2=0.03066474574094165, score=0.767031 - 1.7s
[CV] c1=0.038297678976678046, c2=0.1916126137406044 ..................
[CV] c1=0.038297678976678046, c2=0.1916126137406044, score=0.866790 - 1.8s
[CV] c1=0.22369184983412724, c2=0.0039152206686826506 ................
[CV] c1=0.22369184983412724, c2=0.0039152206686826506, score=0.846366 - 1.5s
[CV] c1=0.7316013853643798, c2=0.25017196058094404 ...................
[CV] c1=0.7316013853643798, c2=0.25017196058094404, score=0.899125 - 1.5s
[CV] c1=0.7934403590252077, c2=0.010140047052715413 ..................
[CV] c1=0.7934403590252077, c2=0.010140047052715413, score=0.750130 - 1.5s
[CV] c1=1.2484765854262996, c2=0.03066474574094165 ...................
[CV] c1=1.2484765854262996, c2=0.03066474574094165, score=0.742502 - 1.5s
[CV] c1=0.038297678976678046, c2=0.1916126137406044 ..................
[CV] c1=0.038297678976678046, c2=0.1916126137406044, score=0.759711 - 1.7s
[CV] c1=0.22369184983412724, c2=0.0039152206686826506 ................
[CV] c1=0.22369184983412724, c2=0.0039152206686826506, score=0.925309 - 1.6s
[CV] c1=0.16521043789445478, c2=0.12734995352729425 ..................
[CV] c1=0.16521043789445478, c2=0.12734995352729425, score=0.771474 - 1.7s
[CV] c1=0.19372696796129896, c2=0.018101673564889433 .................
[CV] c1=0.19372696796129896, c2=0.018101673564889433, score=0.660529 - 1.5s
[CV] c1=0.5210224789278901, c2=0.006751538594354206 ..................
[CV] c1=0.5210224789278901, c2=0.006751538594354206, score=0.675493 - 1.3s
[CV] c1=0.038297678976678046, c2=0.1916126137406044 ..................
[CV] c1=0.038297678976678046, c2=0.1916126137406044, score=0.624751 - 1.4s
[CV] c1=0.22369184983412724, c2=0.0039152206686826506 ................
[CV] c1=0.22369184983412724, c2=0.0039152206686826506, score=0.883871 - 1.8s
[CV] c1=0.7316013853643798, c2=0.25017196058094404 ...................
[CV] c1=0.7316013853643798, c2=0.25017196058094404, score=0.810990 - 1.3s
[CV] c1=0.7934403590252077, c2=0.010140047052715413 ..................
[CV] c1=0.7934403590252077, c2=0.010140047052715413, score=0.727141 - 1.8s
[CV] c1=1.2484765854262996, c2=0.03066474574094165 ...................
[CV] c1=1.2484765854262996, c2=0.03066474574094165, score=0.862223 - 1.5s
[CV] c1=0.038297678976678046, c2=0.1916126137406044 ..................
[CV] c1=0.038297678976678046, c2=0.1916126137406044, score=0.895358 - 1.8s
[CV] c1=0.22369184983412724, c2=0.0039152206686826506 ................
[CV] c1=0.22369184983412724, c2=0.0039152206686826506, score=0.791491 - 1.8s
[CV] c1=0.14528662487494648, c2=0.20027010511973786 ..................
[CV] c1=0.14528662487494648, c2=0.20027010511973786, score=0.636866 - 1.5s
[CV] c1=0.08911978010699523, c2=0.0017540149814192383 ................
[CV] c1=0.08911978010699523, c2=0.0017540149814192383, score=0.765174 - 1.6s
[CV] c1=0.5210224789278901, c2=0.006751538594354206 ..................
[CV] c1=0.5210224789278901, c2=0.006751538594354206, score=0.737002 - 1.5s
[CV] c1=0.22991065454519655, c2=0.05704963083080379 ..................
[CV] c1=0.22991065454519655, c2=0.05704963083080379, score=0.760794 - 1.6s
[CV] c1=0.34336652460986966, c2=0.023606219975479584 .................
[CV] c1=0.34336652460986966, c2=0.023606219975479584, score=0.677691 - 1.5s
[CV] c1=0.16521043789445478, c2=0.12734995352729425 ..................
[CV] c1=0.16521043789445478, c2=0.12734995352729425, score=0.906100 - 1.5s
[CV] c1=0.08911978010699523, c2=0.0017540149814192383 ................
[CV] c1=0.08911978010699523, c2=0.0017540149814192383, score=0.860074 - 1.5s
[CV] c1=0.5210224789278901, c2=0.006751538594354206 ..................
[CV] c1=0.5210224789278901, c2=0.006751538594354206, score=0.677691 - 1.7s
[CV] c1=0.22991065454519655, c2=0.05704963083080379 ..................
[CV] c1=0.22991065454519655, c2=0.05704963083080379, score=0.883871 - 1.7s
[CV] c1=0.34336652460986966, c2=0.023606219975479584 .................
[CV] c1=0.34336652460986966, c2=0.023606219975479584, score=0.846366 - 1.3s
[CV] c1=0.17002935344175654, c2=0.03048089985747861 ..................
[CV] c1=0.17002935344175654, c2=0.03048089985747861, score=0.766937 - 1.6s
[CV] c1=0.19372696796129896, c2=0.018101673564889433 .................
[CV] c1=0.19372696796129896, c2=0.018101673564889433, score=0.690019 - 1.3s
[CV] c1=0.23396239601478247, c2=0.021554630281339932 .................
[CV] c1=0.23396239601478247, c2=0.021554630281339932, score=0.883871 - 1.6s
[CV] c1=1.1131285560759827, c2=0.0789492952007081 ....................
[CV] c1=1.1131285560759827, c2=0.0789492952007081, score=0.664382 - 1.4s
[CV] c1=0.34336652460986966, c2=0.023606219975479584 .................
[CV] c1=0.34336652460986966, c2=0.023606219975479584, score=0.774627 - 1.5s
[CV] c1=0.16521043789445478, c2=0.12734995352729425 ..................
[CV] c1=0.16521043789445478, c2=0.12734995352729425, score=0.879541 - 1.6s
[CV] c1=0.08911978010699523, c2=0.0017540149814192383 ................
[CV] c1=0.08911978010699523, c2=0.0017540149814192383, score=0.943287 - 1.7s
[CV] c1=0.5210224789278901, c2=0.006751538594354206 ..................
[CV] c1=0.5210224789278901, c2=0.006751538594354206, score=0.783286 - 1.6s
[CV] c1=0.22991065454519655, c2=0.05704963083080379 ..................
[CV] c1=0.22991065454519655, c2=0.05704963083080379, score=0.846366 - 1.7s
[CV] c1=0.34336652460986966, c2=0.023606219975479584 .................
[CV] c1=0.34336652460986966, c2=0.023606219975479584, score=0.695227 - 1.3s
[CV] c1=0.16521043789445478, c2=0.12734995352729425 ..................
[CV] c1=0.16521043789445478, c2=0.12734995352729425, score=0.743170 - 1.5s
[CV] c1=0.08911978010699523, c2=0.0017540149814192383 ................
[CV] c1=0.08911978010699523, c2=0.0017540149814192383, score=0.693874 - 1.6s
[CV] c1=0.5210224789278901, c2=0.006751538594354206 ..................
[CV] c1=0.5210224789278901, c2=0.006751538594354206, score=0.863221 - 1.7s
[CV] c1=0.22991065454519655, c2=0.05704963083080379 ..................
[CV] c1=0.22991065454519655, c2=0.05704963083080379, score=0.769218 - 1.6s
[CV] c1=0.34336652460986966, c2=0.023606219975479584 .................
[CV] c1=0.34336652460986966, c2=0.023606219975479584, score=0.878755 - 1.6s
[CV] c1=0.7316013853643798, c2=0.25017196058094404 ...................
[CV] c1=0.7316013853643798, c2=0.25017196058094404, score=0.737812 - 1.4s
[CV] c1=0.7934403590252077, c2=0.010140047052715413 ..................
[CV] c1=0.7934403590252077, c2=0.010140047052715413, score=0.868659 - 1.8s
[CV] c1=0.5210224789278901, c2=0.006751538594354206 ..................
[CV] c1=0.5210224789278901, c2=0.006751538594354206, score=0.742545 - 1.7s
[CV] c1=0.22991065454519655, c2=0.05704963083080379 ..................
[CV] c1=0.22991065454519655, c2=0.05704963083080379, score=0.879541 - 1.7s
[CV] c1=0.34336652460986966, c2=0.023606219975479584 .................
[CV] c1=0.34336652460986966, c2=0.023606219975479584, score=0.791976 - 1.7s
[CV] c1=0.16521043789445478, c2=0.12734995352729425 ..................
[CV] c1=0.16521043789445478, c2=0.12734995352729425, score=0.636866 - 1.4s
[CV] c1=0.7934403590252077, c2=0.010140047052715413 ..................
[CV] c1=0.7934403590252077, c2=0.010140047052715413, score=0.909545 - 1.5s
[CV] c1=1.2484765854262996, c2=0.03066474574094165 ...................
[CV] c1=1.2484765854262996, c2=0.03066474574094165, score=0.879280 - 1.7s
[CV] c1=0.22991065454519655, c2=0.05704963083080379 ..................
[CV] c1=0.22991065454519655, c2=0.05704963083080379, score=0.761026 - 1.8s
[CV] c1=0.34336652460986966, c2=0.023606219975479584 .................
[CV] c1=0.34336652460986966, c2=0.023606219975479584, score=0.879541 - 1.6s
[CV] c1=0.7316013853643798, c2=0.25017196058094404 ...................
[CV] c1=0.7316013853643798, c2=0.25017196058094404, score=0.832898 - 1.5s
[CV] c1=0.08911978010699523, c2=0.0017540149814192383 ................
[CV] c1=0.08911978010699523, c2=0.0017540149814192383, score=0.792472 - 1.7s
[CV] c1=0.5210224789278901, c2=0.006751538594354206 ..................
[CV] c1=0.5210224789278901, c2=0.006751538594354206, score=0.892392 - 1.8s
[CV] c1=0.22991065454519655, c2=0.05704963083080379 ..................
[CV] c1=0.22991065454519655, c2=0.05704963083080379, score=0.640002 - 1.5s
[CV] c1=0.34336652460986966, c2=0.023606219975479584 .................
[CV] c1=0.34336652460986966, c2=0.023606219975479584, score=0.900725 - 1.6s
[CV] c1=0.16521043789445478, c2=0.12734995352729425 ..................
[CV] c1=0.16521043789445478, c2=0.12734995352729425, score=0.654103 - 1.4s
[CV] c1=0.08911978010699523, c2=0.0017540149814192383 ................
[CV] c1=0.08911978010699523, c2=0.0017540149814192383, score=0.883871 - 1.6s
[CV] c1=0.5210224789278901, c2=0.006751538594354206 ..................
[CV] c1=0.5210224789278901, c2=0.006751538594354206, score=0.870647 - 1.5s
[CV] c1=0.22991065454519655, c2=0.05704963083080379 ..................
[CV] c1=0.22991065454519655, c2=0.05704963083080379, score=0.660529 - 1.8s
[CV] c1=0.34336652460986966, c2=0.023606219975479584 .................
[CV] c1=0.34336652460986966, c2=0.023606219975479584, score=0.804911 - 1.5s
[CV] c1=0.14528662487494648, c2=0.20027010511973786 ..................
[CV] c1=0.14528662487494648, c2=0.20027010511973786, score=0.660149 - 1.3s
[CV] c1=0.08911978010699523, c2=0.0017540149814192383 ................
[CV] c1=0.08911978010699523, c2=0.0017540149814192383, score=0.747948 - 1.6s
[CV] c1=0.5210224789278901, c2=0.006751538594354206 ..................
[CV] c1=0.5210224789278901, c2=0.006751538594354206, score=0.809792 - 1.7s
[CV] c1=1.1131285560759827, c2=0.0789492952007081 ....................
[CV] c1=1.1131285560759827, c2=0.0789492952007081, score=0.709002 - 1.6s
[CV] c1=0.13789575918935962, c2=0.21129423093936495 ..................
[CV] c1=0.13789575918935962, c2=0.21129423093936495, score=0.636866 - 1.3s
[CV] c1=0.14528662487494648, c2=0.20027010511973786 ..................
[CV] c1=0.14528662487494648, c2=0.20027010511973786, score=0.896702 - 1.6s
[CV] c1=0.19372696796129896, c2=0.018101673564889433 .................
[CV] c1=0.19372696796129896, c2=0.018101673564889433, score=0.860074 - 1.6s
[CV] c1=0.23396239601478247, c2=0.021554630281339932 .................
[CV] c1=0.23396239601478247, c2=0.021554630281339932, score=0.879541 - 1.8s
[CV] c1=1.1131285560759827, c2=0.0789492952007081 ....................
[CV] c1=1.1131285560759827, c2=0.0789492952007081, score=0.851866 - 1.3s
[CV] c1=0.13789575918935962, c2=0.21129423093936495 ..................
[CV] c1=0.13789575918935962, c2=0.21129423093936495, score=0.732991 - 1.4s
[CV] c1=0.16521043789445478, c2=0.12734995352729425 ..................
[CV] c1=0.16521043789445478, c2=0.12734995352729425, score=0.832898 - 1.6s
[CV] c1=0.08911978010699523, c2=0.0017540149814192383 ................
[CV] c1=0.08911978010699523, c2=0.0017540149814192383, score=0.846366 - 1.6s
[CV] c1=0.5210224789278901, c2=0.006751538594354206 ..................
[CV] c1=0.5210224789278901, c2=0.006751538594354206, score=0.925309 - 1.5s
[CV] c1=0.22991065454519655, c2=0.05704963083080379 ..................
[CV] c1=0.22991065454519655, c2=0.05704963083080379, score=0.906100 - 1.7s
[CV] c1=0.34336652460986966, c2=0.023606219975479584 .................
[CV] c1=0.34336652460986966, c2=0.023606219975479584, score=0.922694 - 1.5s
[CV] c1=0.17002935344175654, c2=0.03048089985747861 ..................
[CV] c1=0.17002935344175654, c2=0.03048089985747861, score=0.665525 - 1.4s
[CV] c1=0.4722267453140106, c2=0.001685255428968536 ..................
[CV] c1=0.4722267453140106, c2=0.001685255428968536, score=0.677691 - 1.5s
[CV] c1=0.23396239601478247, c2=0.021554630281339932 .................
[CV] c1=0.23396239601478247, c2=0.021554630281339932, score=0.846366 - 1.7s
[CV] c1=1.1131285560759827, c2=0.0789492952007081 ....................
[CV] c1=1.1131285560759827, c2=0.0789492952007081, score=0.888371 - 1.5s
[CV] c1=0.13789575918935962, c2=0.21129423093936495 ..................
[CV] c1=0.13789575918935962, c2=0.21129423093936495, score=0.665357 - 1.1s
[CV] c1=0.17002935344175654, c2=0.03048089985747861 ..................
[CV] c1=0.17002935344175654, c2=0.03048089985747861, score=0.883871 - 1.9s
[CV] c1=0.4722267453140106, c2=0.001685255428968536 ..................
[CV] c1=0.4722267453140106, c2=0.001685255428968536, score=0.624992 - 1.4s
[CV] c1=0.23396239601478247, c2=0.021554630281339932 .................
[CV] c1=0.23396239601478247, c2=0.021554630281339932, score=0.690019 - 1.3s
[CV] c1=1.1131285560759827, c2=0.0789492952007081 ....................
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[CV] c1=0.13789575918935962, c2=0.21129423093936495 ..................
[CV] c1=0.13789575918935962, c2=0.21129423093936495, score=0.879541 - 1.5s
[CV] c1=0.16521043789445478, c2=0.12734995352729425 ..................
[CV] c1=0.16521043789445478, c2=0.12734995352729425, score=0.873237 - 1.8s
[CV] c1=0.19372696796129896, c2=0.018101673564889433 .................
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[CV] c1=0.23396239601478247, c2=0.021554630281339932 .................
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[CV] c1=0.22991065454519655, c2=0.05704963083080379 ..................
[CV] c1=0.22991065454519655, c2=0.05704963083080379, score=0.930099 - 1.8s
[CV] c1=0.13789575918935962, c2=0.21129423093936495 ..................
[CV] c1=0.13789575918935962, c2=0.21129423093936495, score=0.767759 - 1.3s
[CV] c1=0.14528662487494648, c2=0.20027010511973786 ..................
[CV] c1=0.14528662487494648, c2=0.20027010511973786, score=0.757767 - 1.6s
[CV] c1=0.19372696796129896, c2=0.018101673564889433 .................
[CV] c1=0.19372696796129896, c2=0.018101673564889433, score=0.757767 - 1.8s
[CV] c1=1.4620038736037526, c2=0.04868337460924114 ...................
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[CV] c1=1.1131285560759827, c2=0.0789492952007081 ....................
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[CV] c1=0.13789575918935962, c2=0.21129423093936495 ..................
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[CV] c1=0.14528662487494648, c2=0.20027010511973786 ..................
[CV] c1=0.14528662487494648, c2=0.20027010511973786, score=0.832898 - 1.5s
[CV] c1=0.19372696796129896, c2=0.018101673564889433 .................
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[CV] c1=0.23396239601478247, c2=0.021554630281339932 .................
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[CV] c1=1.1131285560759827, c2=0.0789492952007081 ....................
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[CV] c1=0.13789575918935962, c2=0.21129423093936495 ..................
[CV] c1=0.13789575918935962, c2=0.21129423093936495, score=0.930099 - 1.3s
[CV] c1=0.14528662487494648, c2=0.20027010511973786 ..................
[CV] c1=0.14528662487494648, c2=0.20027010511973786, score=0.767759 - 1.7s
[CV] c1=0.19372696796129896, c2=0.018101673564889433 .................
[CV] c1=0.19372696796129896, c2=0.018101673564889433, score=0.846366 - 1.6s
[CV] c1=0.23396239601478247, c2=0.021554630281339932 .................
[CV] c1=0.23396239601478247, c2=0.021554630281339932, score=0.765174 - 1.6s
[CV] c1=1.1131285560759827, c2=0.0789492952007081 ....................
[CV] c1=1.1131285560759827, c2=0.0789492952007081, score=0.840999 - 1.6s
[CV] c1=0.13789575918935962, c2=0.21129423093936495 ..................
[CV] c1=0.13789575918935962, c2=0.21129423093936495, score=0.832898 - 1.4s
[CV] c1=0.17002935344175654, c2=0.03048089985747861 ..................
[CV] c1=0.17002935344175654, c2=0.03048089985747861, score=0.660529 - 1.5s
[CV] c1=0.19372696796129896, c2=0.018101673564889433 .................
[CV] c1=0.19372696796129896, c2=0.018101673564889433, score=0.900725 - 1.7s
[CV] c1=0.23396239601478247, c2=0.021554630281339932 .................
[CV] c1=0.23396239601478247, c2=0.021554630281339932, score=0.760794 - 1.6s
[CV] c1=1.1131285560759827, c2=0.0789492952007081 ....................
[CV] c1=1.1131285560759827, c2=0.0789492952007081, score=0.735050 - 1.5s
[CV] c1=0.13789575918935962, c2=0.21129423093936495 ..................
[CV] c1=0.13789575918935962, c2=0.21129423093936495, score=0.857128 - 1.5s
[CV] c1=0.14528662487494648, c2=0.20027010511973786 ..................
[CV] c1=0.14528662487494648, c2=0.20027010511973786, score=0.930099 - 1.6s
[CV] c1=0.19372696796129896, c2=0.018101673564889433 .................
[CV] c1=0.19372696796129896, c2=0.018101673564889433, score=0.930099 - 1.7s
[CV] c1=0.23396239601478247, c2=0.021554630281339932 .................
[CV] c1=0.23396239601478247, c2=0.021554630281339932, score=0.922694 - 1.7s
[CV] c1=0.14069682863299926, c2=0.024714016482769777 .................
[CV] c1=0.14069682863299926, c2=0.024714016482769777, score=0.660529 - 1.5s
[CV] c1=0.4862974700385636, c2=0.028075320941336974 ..................
[CV] c1=0.4862974700385636, c2=0.028075320941336974, score=0.739341 - 1.3s
[CV] c1=0.16521043789445478, c2=0.12734995352729425 ..................
[CV] c1=0.16521043789445478, c2=0.12734995352729425, score=0.769218 - 1.6s
[CV] c1=0.08911978010699523, c2=0.0017540149814192383 ................
[CV] c1=0.08911978010699523, c2=0.0017540149814192383, score=0.922694 - 1.6s
[CV] c1=0.23396239601478247, c2=0.021554630281339932 .................
[CV] c1=0.23396239601478247, c2=0.021554630281339932, score=0.766937 - 1.8s
[CV] c1=1.1131285560759827, c2=0.0789492952007081 ....................
[CV] c1=1.1131285560759827, c2=0.0789492952007081, score=0.843338 - 1.6s
[CV] c1=0.13789575918935962, c2=0.21129423093936495 ..................
[CV] c1=0.13789575918935962, c2=0.21129423093936495, score=0.896702 - 1.6s
[CV] c1=0.14528662487494648, c2=0.20027010511973786 ..................
[CV] c1=0.14528662487494648, c2=0.20027010511973786, score=0.861675 - 1.7s
[CV] c1=0.19372696796129896, c2=0.018101673564889433 .................
[CV] c1=0.19372696796129896, c2=0.018101673564889433, score=0.804911 - 1.8s
[CV] c1=1.4620038736037526, c2=0.04868337460924114 ...................
[CV] c1=1.4620038736037526, c2=0.04868337460924114, score=0.746808 - 1.6s
[CV] c1=0.14069682863299926, c2=0.024714016482769777 .................
[CV] c1=0.14069682863299926, c2=0.024714016482769777, score=0.860074 - 1.6s
[CV] c1=0.4862974700385636, c2=0.028075320941336974 ..................
[CV] c1=0.4862974700385636, c2=0.028075320941336974, score=0.677691 - 1.3s
[CV] c1=0.17002935344175654, c2=0.03048089985747861 ..................
[CV] c1=0.17002935344175654, c2=0.03048089985747861, score=0.846366 - 1.6s
[CV] c1=0.4722267453140106, c2=0.001685255428968536 ..................
[CV] c1=0.4722267453140106, c2=0.001685255428968536, score=0.797094 - 1.7s
[CV] c1=1.4620038736037526, c2=0.04868337460924114 ...................
[CV] c1=1.4620038736037526, c2=0.04868337460924114, score=0.872550 - 1.6s
[CV] c1=0.14069682863299926, c2=0.024714016482769777 .................
[CV] c1=0.14069682863299926, c2=0.024714016482769777, score=0.930099 - 1.7s
[CV] c1=0.4862974700385636, c2=0.028075320941336974 ..................
[CV] c1=0.4862974700385636, c2=0.028075320941336974, score=0.631503 - 1.0s
[CV] c1=0.14528662487494648, c2=0.20027010511973786 ..................
[CV] c1=0.14528662487494648, c2=0.20027010511973786, score=0.732991 - 1.9s
[CV] c1=0.4722267453140106, c2=0.001685255428968536 ..................
[CV] c1=0.4722267453140106, c2=0.001685255428968536, score=0.742545 - 1.7s
[CV] c1=1.4620038736037526, c2=0.04868337460924114 ...................
[CV] c1=1.4620038736037526, c2=0.04868337460924114, score=0.697646 - 1.6s
[CV] c1=0.14069682863299926, c2=0.024714016482769777 .................
[CV] c1=0.14069682863299926, c2=0.024714016482769777, score=0.788778 - 1.8s
[CV] c1=0.4862974700385636, c2=0.028075320941336974 ..................
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[CV] c1=0.17002935344175654, c2=0.03048089985747861 ..................
[CV] c1=0.17002935344175654, c2=0.03048089985747861, score=0.771474 - 1.6s
[CV] c1=0.4722267453140106, c2=0.001685255428968536 ..................
[CV] c1=0.4722267453140106, c2=0.001685255428968536, score=0.870647 - 1.6s
[CV] c1=1.4620038736037526, c2=0.04868337460924114 ...................
[CV] c1=1.4620038736037526, c2=0.04868337460924114, score=0.862223 - 1.7s
[CV] c1=0.14069682863299926, c2=0.024714016482769777 .................
[CV] c1=0.14069682863299926, c2=0.024714016482769777, score=0.765174 - 1.5s
[CV] c1=0.4862974700385636, c2=0.028075320941336974 ..................
[CV] c1=0.4862974700385636, c2=0.028075320941336974, score=0.878755 - 1.4s
[CV] c1=0.17002935344175654, c2=0.03048089985747861 ..................
[CV] c1=0.17002935344175654, c2=0.03048089985747861, score=0.883883 - 1.6s
[CV] c1=0.4722267453140106, c2=0.001685255428968536 ..................
[CV] c1=0.4722267453140106, c2=0.001685255428968536, score=0.903665 - 1.7s
[CV] c1=1.4620038736037526, c2=0.04868337460924114 ...................
[CV] c1=1.4620038736037526, c2=0.04868337460924114, score=0.715035 - 1.7s
[CV] c1=0.14069682863299926, c2=0.024714016482769777 .................
[CV] c1=0.14069682863299926, c2=0.024714016482769777, score=0.771474 - 1.5s
[CV] c1=0.4862974700385636, c2=0.028075320941336974 ..................
[CV] c1=0.4862974700385636, c2=0.028075320941336974, score=0.891002 - 1.4s
[CV] c1=0.7316013853643798, c2=0.25017196058094404 ...................
[CV] c1=0.7316013853643798, c2=0.25017196058094404, score=0.613639 - 1.3s
[CV] c1=0.7934403590252077, c2=0.010140047052715413 ..................
[CV] c1=0.7934403590252077, c2=0.010140047052715413, score=0.664382 - 1.4s
[CV] c1=1.2484765854262996, c2=0.03066474574094165 ...................
[CV] c1=1.2484765854262996, c2=0.03066474574094165, score=0.709002 - 1.6s
[CV] c1=1.4620038736037526, c2=0.04868337460924114 ...................
[CV] c1=1.4620038736037526, c2=0.04868337460924114, score=0.568876 - 1.3s
[CV] c1=0.14069682863299926, c2=0.024714016482769777 .................
[CV] c1=0.14069682863299926, c2=0.024714016482769777, score=0.883871 - 1.9s
[CV] c1=0.4862974700385636, c2=0.028075320941336974 ..................
[CV] c1=0.4862974700385636, c2=0.028075320941336974, score=0.906931 - 1.2s
[CV] c1=0.14528662487494648, c2=0.20027010511973786 ..................
[CV] c1=0.14528662487494648, c2=0.20027010511973786, score=0.879541 - 1.9s
[CV] c1=0.4722267453140106, c2=0.001685255428968536 ..................
[CV] c1=0.4722267453140106, c2=0.001685255428968536, score=0.871207 - 1.7s
[CV] c1=1.4620038736037526, c2=0.04868337460924114 ...................
[CV] c1=1.4620038736037526, c2=0.04868337460924114, score=0.803851 - 1.8s
[CV] c1=0.14069682863299926, c2=0.024714016482769777 .................
[CV] c1=0.14069682863299926, c2=0.024714016482769777, score=0.697441 - 1.3s
[CV] c1=0.4862974700385636, c2=0.028075320941336974 ..................
[CV] c1=0.4862974700385636, c2=0.028075320941336974, score=0.871207 - 1.4s
Training done in: 10.702919s
Saving training model...
Saving training model done in: 0.013511s
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Prediction done in: 0.037534s