Run7_v11.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.txt
Path of test data set: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
File with test data set: test-data-set-30.txt
Exclude stop words: False
Levels: False True
Report file: _v11
Exclude symbols: False
-------------------------------- PROCESSING --------------------------------
Reading corpus...
Sentences training data: 286
Sentences test data: 123
Reading corpus done in: 0.003621s
-------------------------------- FEATURES --------------------------------
--------------------------Features Training ---------------------------
0 1
0 lemma 2
1 postag CD
2 -1:lemma fructose
3 -1:postag NN
4 word 2
5 isUpper False
6 isLower False
7 isGreek False
8 isNumber True
9 -1:word fructose
10 -2:lemma Cra
11 -2:postag NNP
--------------------------- 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 word delta-arcA
7 isUpper False
8 isLower False
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=1.31221984858164, c2=0.02750876882572302 .....................
[CV] c1=1.31221984858164, c2=0.02750876882572302, score=0.612088 - 1.6s
[CV] c1=0.22410917154971952, c2=0.0741115060611966 ...................
[CV] c1=0.22410917154971952, c2=0.0741115060611966, score=0.807235 - 1.7s
[CV] c1=0.3711464209171215, c2=0.026426512830792455 ..................
[CV] c1=0.3711464209171215, c2=0.026426512830792455, score=0.913784 - 1.8s
[CV] c1=1.7997186106473309, c2=0.0754349182496969 ....................
[CV] c1=1.7997186106473309, c2=0.0754349182496969, score=0.882162 - 1.6s
[CV] c1=1.31221984858164, c2=0.02750876882572302 .....................
[CV] c1=1.31221984858164, c2=0.02750876882572302, score=0.846837 - 1.6s
[CV] c1=0.22410917154971952, c2=0.0741115060611966 ...................
[CV] c1=0.22410917154971952, c2=0.0741115060611966, score=0.932685 - 1.8s
[CV] c1=0.6959486853419434, c2=0.0462324893691317 ....................
[CV] c1=0.6959486853419434, c2=0.0462324893691317, score=0.832339 - 1.5s
[CV] c1=1.153575870900293, c2=0.05542813661094087 ....................
[CV] c1=1.153575870900293, c2=0.05542813661094087, score=0.787078 - 1.5s
[CV] c1=0.5156471700537973, c2=0.02054673519357734 ...................
[CV] c1=0.5156471700537973, c2=0.02054673519357734, score=0.839624 - 1.3s
[CV] c1=0.9083002880554646, c2=0.06812733950477726 ...................
[CV] c1=0.9083002880554646, c2=0.06812733950477726, score=0.832339 - 1.3s
[CV] c1=0.3260719095302179, c2=0.006813084571107944 ..................
[CV] c1=0.3260719095302179, c2=0.006813084571107944, score=0.918345 - 1.7s
[CV] c1=0.6959486853419434, c2=0.0462324893691317 ....................
[CV] c1=0.6959486853419434, c2=0.0462324893691317, score=0.631304 - 1.5s
[CV] c1=1.153575870900293, c2=0.05542813661094087 ....................
[CV] c1=1.153575870900293, c2=0.05542813661094087, score=0.601824 - 1.6s
[CV] c1=0.5156471700537973, c2=0.02054673519357734 ...................
[CV] c1=0.5156471700537973, c2=0.02054673519357734, score=0.856398 - 1.3s
[CV] c1=0.9083002880554646, c2=0.06812733950477726 ...................
[CV] c1=0.9083002880554646, c2=0.06812733950477726, score=0.853493 - 1.4s
[CV] c1=0.3260719095302179, c2=0.006813084571107944 ..................
[CV] c1=0.3260719095302179, c2=0.006813084571107944, score=0.851448 - 1.5s
[CV] c1=0.6959486853419434, c2=0.0462324893691317 ....................
[CV] c1=0.6959486853419434, c2=0.0462324893691317, score=0.818750 - 1.7s
[CV] c1=1.153575870900293, c2=0.05542813661094087 ....................
[CV] c1=1.153575870900293, c2=0.05542813661094087, score=0.902496 - 1.5s
[CV] c1=0.5156471700537973, c2=0.02054673519357734 ...................
[CV] c1=0.5156471700537973, c2=0.02054673519357734, score=0.917433 - 1.4s
[CV] c1=0.9083002880554646, c2=0.06812733950477726 ...................
[CV] c1=0.9083002880554646, c2=0.06812733950477726, score=0.896776 - 1.4s
[CV] c1=0.3260719095302179, c2=0.006813084571107944 ..................
[CV] c1=0.3260719095302179, c2=0.006813084571107944, score=0.712169 - 1.7s
[CV] c1=0.6959486853419434, c2=0.0462324893691317 ....................
[CV] c1=0.6959486853419434, c2=0.0462324893691317, score=0.862900 - 1.5s
[CV] c1=1.153575870900293, c2=0.05542813661094087 ....................
[CV] c1=1.153575870900293, c2=0.05542813661094087, score=0.885973 - 1.5s
[CV] c1=1.4441295867817865, c2=0.04617298610100537 ...................
[CV] c1=1.4441295867817865, c2=0.04617298610100537, score=0.852822 - 1.4s
[CV] c1=0.05358633536650553, c2=0.026273042598892418 .................
[CV] c1=0.05358633536650553, c2=0.026273042598892418, score=0.931991 - 1.4s
[CV] c1=0.4268730139997736, c2=0.05952759417093106 ...................
[CV] c1=0.4268730139997736, c2=0.05952759417093106, score=0.700980 - 1.5s
[CV] c1=0.6959486853419434, c2=0.0462324893691317 ....................
[CV] c1=0.6959486853419434, c2=0.0462324893691317, score=0.800618 - 1.5s
[CV] c1=1.153575870900293, c2=0.05542813661094087 ....................
[CV] c1=1.153575870900293, c2=0.05542813661094087, score=0.853967 - 1.3s
[CV] c1=1.2139996411914353, c2=0.031522439704619994 ..................
[CV] c1=1.2139996411914353, c2=0.031522439704619994, score=0.601824 - 1.5s
[CV] c1=0.2523286024761347, c2=0.0139653511518441 ....................
[CV] c1=0.2523286024761347, c2=0.0139653511518441, score=0.856758 - 1.3s
[CV] c1=0.4268730139997736, c2=0.05952759417093106 ...................
[CV] c1=0.4268730139997736, c2=0.05952759417093106, score=0.864761 - 1.4s
[CV] c1=0.07838162718183349, c2=0.05887606797757319 ..................
[CV] c1=0.07838162718183349, c2=0.05887606797757319, score=0.727697 - 1.5s
[CV] c1=1.153575870900293, c2=0.05542813661094087 ....................
[CV] c1=1.153575870900293, c2=0.05542813661094087, score=0.764357 - 1.4s
[CV] c1=1.4441295867817865, c2=0.04617298610100537 ...................
[CV] c1=1.4441295867817865, c2=0.04617298610100537, score=0.803796 - 1.3s
[CV] c1=0.05358633536650553, c2=0.026273042598892418 .................
[CV] c1=0.05358633536650553, c2=0.026273042598892418, score=0.850992 - 1.6s
[CV] c1=0.4268730139997736, c2=0.05952759417093106 ...................
[CV] c1=0.4268730139997736, c2=0.05952759417093106, score=0.888803 - 1.5s
[CV] c1=0.6959486853419434, c2=0.0462324893691317 ....................
[CV] c1=0.6959486853419434, c2=0.0462324893691317, score=0.820419 - 1.6s
[CV] c1=1.153575870900293, c2=0.05542813661094087 ....................
[CV] c1=1.153575870900293, c2=0.05542813661094087, score=0.818821 - 1.6s
[CV] c1=0.5156471700537973, c2=0.02054673519357734 ...................
[CV] c1=0.5156471700537973, c2=0.02054673519357734, score=0.840175 - 1.0s
[CV] c1=0.9083002880554646, c2=0.06812733950477726 ...................
[CV] c1=0.9083002880554646, c2=0.06812733950477726, score=0.795123 - 1.8s
[CV] c1=0.3260719095302179, c2=0.006813084571107944 ..................
[CV] c1=0.3260719095302179, c2=0.006813084571107944, score=0.824268 - 1.7s
[CV] c1=0.6959486853419434, c2=0.0462324893691317 ....................
[CV] c1=0.6959486853419434, c2=0.0462324893691317, score=0.907805 - 1.5s
[CV] c1=1.153575870900293, c2=0.05542813661094087 ....................
[CV] c1=1.153575870900293, c2=0.05542813661094087, score=0.812996 - 1.7s
[CV] c1=0.5156471700537973, c2=0.02054673519357734 ...................
[CV] c1=0.5156471700537973, c2=0.02054673519357734, score=0.913784 - 1.4s
[CV] c1=0.9083002880554646, c2=0.06812733950477726 ...................
[CV] c1=0.9083002880554646, c2=0.06812733950477726, score=0.908387 - 1.6s
[CV] c1=0.3260719095302179, c2=0.006813084571107944 ..................
[CV] c1=0.3260719095302179, c2=0.006813084571107944, score=0.932576 - 1.6s
[CV] c1=0.6959486853419434, c2=0.0462324893691317 ....................
[CV] c1=0.6959486853419434, c2=0.0462324893691317, score=0.907533 - 1.7s
[CV] c1=1.153575870900293, c2=0.05542813661094087 ....................
[CV] c1=1.153575870900293, c2=0.05542813661094087, score=0.903311 - 1.6s
[CV] c1=1.4441295867817865, c2=0.04617298610100537 ...................
[CV] c1=1.4441295867817865, c2=0.04617298610100537, score=0.888182 - 1.6s
[CV] c1=0.2523286024761347, c2=0.0139653511518441 ....................
[CV] c1=0.2523286024761347, c2=0.0139653511518441, score=0.712169 - 1.4s
[CV] c1=0.4268730139997736, c2=0.05952759417093106 ...................
[CV] c1=0.4268730139997736, c2=0.05952759417093106, score=0.905638 - 1.4s
[CV] c1=0.07838162718183349, c2=0.05887606797757319 ..................
[CV] c1=0.07838162718183349, c2=0.05887606797757319, score=0.955910 - 1.7s
[CV] c1=0.6973561873127724, c2=0.031245044543363222 ..................
[CV] c1=0.6973561873127724, c2=0.031245044543363222, score=0.857043 - 1.3s
[CV] c1=0.5156471700537973, c2=0.02054673519357734 ...................
[CV] c1=0.5156471700537973, c2=0.02054673519357734, score=0.819378 - 1.6s
[CV] c1=0.9083002880554646, c2=0.06812733950477726 ...................
[CV] c1=0.9083002880554646, c2=0.06812733950477726, score=0.792413 - 1.5s
[CV] c1=0.3260719095302179, c2=0.006813084571107944 ..................
[CV] c1=0.3260719095302179, c2=0.006813084571107944, score=0.888787 - 1.5s
[CV] c1=0.6959486853419434, c2=0.0462324893691317 ....................
[CV] c1=0.6959486853419434, c2=0.0462324893691317, score=0.900039 - 2.0s
[CV] c1=0.6973561873127724, c2=0.031245044543363222 ..................
[CV] c1=0.6973561873127724, c2=0.031245044543363222, score=0.896776 - 1.5s
[CV] c1=1.4441295867817865, c2=0.04617298610100537 ...................
[CV] c1=1.4441295867817865, c2=0.04617298610100537, score=0.890384 - 1.6s
[CV] c1=0.05358633536650553, c2=0.026273042598892418 .................
[CV] c1=0.05358633536650553, c2=0.026273042598892418, score=0.923193 - 1.5s
[CV] c1=0.07499151432771352, c2=0.07791789139191967 ..................
[CV] c1=0.07499151432771352, c2=0.07791789139191967, score=0.889602 - 1.3s
[CV] c1=0.07838162718183349, c2=0.05887606797757319 ..................
[CV] c1=0.07838162718183349, c2=0.05887606797757319, score=0.869996 - 1.5s
[CV] c1=0.6973561873127724, c2=0.031245044543363222 ..................
[CV] c1=0.6973561873127724, c2=0.031245044543363222, score=0.795729 - 1.5s
[CV] c1=1.31221984858164, c2=0.02750876882572302 .....................
[CV] c1=1.31221984858164, c2=0.02750876882572302, score=0.770164 - 1.6s
[CV] c1=0.22410917154971952, c2=0.0741115060611966 ...................
[CV] c1=0.22410917154971952, c2=0.0741115060611966, score=0.888803 - 1.4s
[CV] c1=0.07499151432771352, c2=0.07791789139191967 ..................
[CV] c1=0.07499151432771352, c2=0.07791789139191967, score=0.854811 - 1.5s
[CV] c1=0.9736319201376714, c2=0.005278958003940855 ..................
[CV] c1=0.9736319201376714, c2=0.005278958003940855, score=0.854202 - 1.5s
[CV] c1=0.07671489689709554, c2=0.01219208548228793 ..................
[CV] c1=0.07671489689709554, c2=0.01219208548228793, score=0.889602 - 1.3s
[CV] c1=1.2139996411914353, c2=0.031522439704619994 ..................
[CV] c1=1.2139996411914353, c2=0.031522439704619994, score=0.770164 - 1.6s
[CV] c1=0.2523286024761347, c2=0.0139653511518441 ....................
[CV] c1=0.2523286024761347, c2=0.0139653511518441, score=0.814418 - 1.5s
[CV] c1=0.07499151432771352, c2=0.07791789139191967 ..................
[CV] c1=0.07499151432771352, c2=0.07791789139191967, score=0.927267 - 1.4s
[CV] c1=0.9736319201376714, c2=0.005278958003940855 ..................
[CV] c1=0.9736319201376714, c2=0.005278958003940855, score=0.795123 - 1.6s
[CV] c1=0.6973561873127724, c2=0.031245044543363222 ..................
[CV] c1=0.6973561873127724, c2=0.031245044543363222, score=0.917037 - 1.4s
[CV] c1=1.4441295867817865, c2=0.04617298610100537 ...................
[CV] c1=1.4441295867817865, c2=0.04617298610100537, score=0.885973 - 1.3s
[CV] c1=0.9083002880554646, c2=0.06812733950477726 ...................
[CV] c1=0.9083002880554646, c2=0.06812733950477726, score=0.907533 - 1.5s
[CV] c1=0.4268730139997736, c2=0.05952759417093106 ...................
[CV] c1=0.4268730139997736, c2=0.05952759417093106, score=0.813378 - 1.6s
[CV] c1=0.07838162718183349, c2=0.05887606797757319 ..................
[CV] c1=0.07838162718183349, c2=0.05887606797757319, score=0.909826 - 1.9s
[CV] c1=0.6973561873127724, c2=0.031245044543363222 ..................
[CV] c1=0.6973561873127724, c2=0.031245044543363222, score=0.820419 - 1.4s
[CV] c1=0.5156471700537973, c2=0.02054673519357734 ...................
[CV] c1=0.5156471700537973, c2=0.02054673519357734, score=0.928742 - 1.5s
[CV] c1=0.05358633536650553, c2=0.026273042598892418 .................
[CV] c1=0.05358633536650553, c2=0.026273042598892418, score=0.889602 - 1.4s
[CV] c1=0.3260719095302179, c2=0.006813084571107944 ..................
[CV] c1=0.3260719095302179, c2=0.006813084571107944, score=0.817720 - 1.7s
[CV] c1=0.07838162718183349, c2=0.05887606797757319 ..................
[CV] c1=0.07838162718183349, c2=0.05887606797757319, score=0.889602 - 1.7s
[CV] c1=0.6973561873127724, c2=0.031245044543363222 ..................
[CV] c1=0.6973561873127724, c2=0.031245044543363222, score=0.832339 - 1.4s
[CV] c1=1.4441295867817865, c2=0.04617298610100537 ...................
[CV] c1=1.4441295867817865, c2=0.04617298610100537, score=0.801309 - 1.3s
[CV] c1=0.05358633536650553, c2=0.026273042598892418 .................
[CV] c1=0.05358633536650553, c2=0.026273042598892418, score=0.727697 - 1.6s
[CV] c1=0.4268730139997736, c2=0.05952759417093106 ...................
[CV] c1=0.4268730139997736, c2=0.05952759417093106, score=0.931991 - 1.6s
[CV] c1=0.07838162718183349, c2=0.05887606797757319 ..................
[CV] c1=0.07838162718183349, c2=0.05887606797757319, score=0.858557 - 1.7s
[CV] c1=0.6973561873127724, c2=0.031245044543363222 ..................
[CV] c1=0.6973561873127724, c2=0.031245044543363222, score=0.818750 - 1.5s
[CV] c1=1.31221984858164, c2=0.02750876882572302 .....................
[CV] c1=1.31221984858164, c2=0.02750876882572302, score=0.752715 - 1.5s
[CV] c1=0.22410917154971952, c2=0.0741115060611966 ...................
[CV] c1=0.22410917154971952, c2=0.0741115060611966, score=0.892921 - 1.5s
[CV] c1=0.3711464209171215, c2=0.026426512830792455 ..................
[CV] c1=0.3711464209171215, c2=0.026426512830792455, score=0.853767 - 1.4s
[CV] c1=1.7997186106473309, c2=0.0754349182496969 ....................
[CV] c1=1.7997186106473309, c2=0.0754349182496969, score=0.655056 - 1.4s
[CV] c1=0.07671489689709554, c2=0.01219208548228793 ..................
[CV] c1=0.07671489689709554, c2=0.01219208548228793, score=0.931991 - 1.2s
[CV] c1=0.5156471700537973, c2=0.02054673519357734 ...................
[CV] c1=0.5156471700537973, c2=0.02054673519357734, score=0.685173 - 1.4s
[CV] c1=0.9083002880554646, c2=0.06812733950477726 ...................
[CV] c1=0.9083002880554646, c2=0.06812733950477726, score=0.818750 - 1.6s
[CV] c1=0.3260719095302179, c2=0.006813084571107944 ..................
[CV] c1=0.3260719095302179, c2=0.006813084571107944, score=0.913784 - 1.8s
[CV] c1=0.07838162718183349, c2=0.05887606797757319 ..................
[CV] c1=0.07838162718183349, c2=0.05887606797757319, score=0.809731 - 1.8s
[CV] c1=0.6973561873127724, c2=0.031245044543363222 ..................
[CV] c1=0.6973561873127724, c2=0.031245044543363222, score=0.800618 - 1.5s
[CV] c1=1.4441295867817865, c2=0.04617298610100537 ...................
[CV] c1=1.4441295867817865, c2=0.04617298610100537, score=0.783364 - 1.6s
[CV] c1=0.05358633536650553, c2=0.026273042598892418 .................
[CV] c1=0.05358633536650553, c2=0.026273042598892418, score=0.869958 - 1.4s
[CV] c1=0.4268730139997736, c2=0.05952759417093106 ...................
[CV] c1=0.4268730139997736, c2=0.05952759417093106, score=0.848812 - 1.5s
[CV] c1=0.07838162718183349, c2=0.05887606797757319 ..................
[CV] c1=0.07838162718183349, c2=0.05887606797757319, score=0.931991 - 1.7s
[CV] c1=0.6973561873127724, c2=0.031245044543363222 ..................
[CV] c1=0.6973561873127724, c2=0.031245044543363222, score=0.631304 - 1.6s
[CV] c1=1.31221984858164, c2=0.02750876882572302 .....................
[CV] c1=1.31221984858164, c2=0.02750876882572302, score=0.812996 - 1.6s
[CV] c1=0.22410917154971952, c2=0.0741115060611966 ...................
[CV] c1=0.22410917154971952, c2=0.0741115060611966, score=0.858211 - 1.5s
[CV] c1=0.3711464209171215, c2=0.026426512830792455 ..................
[CV] c1=0.3711464209171215, c2=0.026426512830792455, score=0.931991 - 1.4s
[CV] c1=1.7997186106473309, c2=0.0754349182496969 ....................
[CV] c1=1.7997186106473309, c2=0.0754349182496969, score=0.593248 - 1.4s
[CV] c1=0.07671489689709554, c2=0.01219208548228793 ..................
[CV] c1=0.07671489689709554, c2=0.01219208548228793, score=0.872516 - 1.1s
[CV] c1=1.4441295867817865, c2=0.04617298610100537 ...................
[CV] c1=1.4441295867817865, c2=0.04617298610100537, score=0.752715 - 1.5s
[CV] c1=0.05358633536650553, c2=0.026273042598892418 .................
[CV] c1=0.05358633536650553, c2=0.026273042598892418, score=0.869996 - 1.5s
[CV] c1=0.4268730139997736, c2=0.05952759417093106 ...................
[CV] c1=0.4268730139997736, c2=0.05952759417093106, score=0.808180 - 1.5s
[CV] c1=0.07838162718183349, c2=0.05887606797757319 ..................
[CV] c1=0.07838162718183349, c2=0.05887606797757319, score=0.923193 - 1.7s
[CV] c1=0.07671489689709554, c2=0.01219208548228793 ..................
[CV] c1=0.07671489689709554, c2=0.01219208548228793, score=0.727697 - 1.3s
[CV] c1=0.5156471700537973, c2=0.02054673519357734 ...................
[CV] c1=0.5156471700537973, c2=0.02054673519357734, score=0.859362 - 1.6s
[CV] c1=0.05358633536650553, c2=0.026273042598892418 .................
[CV] c1=0.05358633536650553, c2=0.026273042598892418, score=0.809731 - 1.5s
[CV] c1=0.4268730139997736, c2=0.05952759417093106 ...................
[CV] c1=0.4268730139997736, c2=0.05952759417093106, score=0.913784 - 1.7s
[CV] c1=0.9736319201376714, c2=0.005278958003940855 ..................
[CV] c1=0.9736319201376714, c2=0.005278958003940855, score=0.832339 - 1.5s
[CV] c1=0.6973561873127724, c2=0.031245044543363222 ..................
[CV] c1=0.6973561873127724, c2=0.031245044543363222, score=0.900039 - 1.6s
[CV] c1=1.2139996411914353, c2=0.031522439704619994 ..................
[CV] c1=1.2139996411914353, c2=0.031522439704619994, score=0.818821 - 1.5s
[CV] c1=0.2523286024761347, c2=0.0139653511518441 ....................
[CV] c1=0.2523286024761347, c2=0.0139653511518441, score=0.931991 - 1.5s
[CV] c1=0.07499151432771352, c2=0.07791789139191967 ..................
[CV] c1=0.07499151432771352, c2=0.07791789139191967, score=0.800397 - 1.6s
[CV] c1=0.9736319201376714, c2=0.005278958003940855 ..................
[CV] c1=0.9736319201376714, c2=0.005278958003940855, score=0.896776 - 1.6s
[CV] c1=0.07671489689709554, c2=0.01219208548228793 ..................
[CV] c1=0.07671489689709554, c2=0.01219208548228793, score=0.818254 - 1.4s
[CV] c1=1.2139996411914353, c2=0.031522439704619994 ..................
[CV] c1=1.2139996411914353, c2=0.031522439704619994, score=0.764357 - 1.5s
[CV] c1=0.2523286024761347, c2=0.0139653511518441 ....................
[CV] c1=0.2523286024761347, c2=0.0139653511518441, score=0.937977 - 1.6s
[CV] c1=0.07499151432771352, c2=0.07791789139191967 ..................
[CV] c1=0.07499151432771352, c2=0.07791789139191967, score=0.829913 - 1.6s
[CV] c1=0.9736319201376714, c2=0.005278958003940855 ..................
[CV] c1=0.9736319201376714, c2=0.005278958003940855, score=0.806478 - 1.5s
[CV] c1=0.07671489689709554, c2=0.01219208548228793 ..................
[CV] c1=0.07671489689709554, c2=0.01219208548228793, score=0.869958 - 1.4s
[CV] c1=1.31221984858164, c2=0.02750876882572302 .....................
[CV] c1=1.31221984858164, c2=0.02750876882572302, score=0.885973 - 1.3s
[CV] c1=0.2523286024761347, c2=0.0139653511518441 ....................
[CV] c1=0.2523286024761347, c2=0.0139653511518441, score=0.827578 - 1.6s
[CV] c1=0.07499151432771352, c2=0.07791789139191967 ..................
[CV] c1=0.07499151432771352, c2=0.07791789139191967, score=0.923193 - 1.5s
[CV] c1=0.9736319201376714, c2=0.005278958003940855 ..................
[CV] c1=0.9736319201376714, c2=0.005278958003940855, score=0.907533 - 1.5s
[CV] c1=0.07671489689709554, c2=0.01219208548228793 ..................
[CV] c1=0.07671489689709554, c2=0.01219208548228793, score=0.923193 - 1.2s
[CV] c1=1.2139996411914353, c2=0.031522439704619994 ..................
[CV] c1=1.2139996411914353, c2=0.031522439704619994, score=0.885973 - 1.4s
[CV] c1=0.2523286024761347, c2=0.0139653511518441 ....................
[CV] c1=0.2523286024761347, c2=0.0139653511518441, score=0.890595 - 1.5s
[CV] c1=0.07499151432771352, c2=0.07791789139191967 ..................
[CV] c1=0.07499151432771352, c2=0.07791789139191967, score=0.707282 - 1.6s
[CV] c1=0.9736319201376714, c2=0.005278958003940855 ..................
[CV] c1=0.9736319201376714, c2=0.005278958003940855, score=0.818750 - 1.7s
[CV] c1=0.07671489689709554, c2=0.01219208548228793 ..................
[CV] c1=0.07671489689709554, c2=0.01219208548228793, score=0.969518 - 1.4s
[CV] c1=1.2139996411914353, c2=0.031522439704619994 ..................
[CV] c1=1.2139996411914353, c2=0.031522439704619994, score=0.798145 - 1.4s
[CV] c1=0.05358633536650553, c2=0.026273042598892418 .................
[CV] c1=0.05358633536650553, c2=0.026273042598892418, score=0.969518 - 1.6s
[CV] c1=0.07499151432771352, c2=0.07791789139191967 ..................
[CV] c1=0.07499151432771352, c2=0.07791789139191967, score=0.903426 - 1.6s
[CV] c1=0.9736319201376714, c2=0.005278958003940855 ..................
[CV] c1=0.9736319201376714, c2=0.005278958003940855, score=0.612088 - 1.9s
[CV] c1=0.33946363371240573, c2=0.06622555496570426 ..................
[CV] c1=0.33946363371240573, c2=0.06622555496570426, score=0.888803 - 1.2s
[CV] c1=1.31221984858164, c2=0.02750876882572302 .....................
[CV] c1=1.31221984858164, c2=0.02750876882572302, score=0.798145 - 1.4s
[CV] c1=0.2523286024761347, c2=0.0139653511518441 ....................
[CV] c1=0.2523286024761347, c2=0.0139653511518441, score=0.908335 - 1.5s
[CV] c1=0.07499151432771352, c2=0.07791789139191967 ..................
[CV] c1=0.07499151432771352, c2=0.07791789139191967, score=0.955910 - 1.6s
[CV] c1=0.9736319201376714, c2=0.005278958003940855 ..................
[CV] c1=0.9736319201376714, c2=0.005278958003940855, score=0.908387 - 1.6s
[CV] c1=0.07671489689709554, c2=0.01219208548228793 ..................
[CV] c1=0.07671489689709554, c2=0.01219208548228793, score=0.842929 - 1.3s
[CV] c1=1.31221984858164, c2=0.02750876882572302 .....................
[CV] c1=1.31221984858164, c2=0.02750876882572302, score=0.890384 - 1.6s
[CV] c1=0.22410917154971952, c2=0.0741115060611966 ...................
[CV] c1=0.22410917154971952, c2=0.0741115060611966, score=0.815631 - 1.6s
[CV] c1=0.3711464209171215, c2=0.026426512830792455 ..................
[CV] c1=0.3711464209171215, c2=0.026426512830792455, score=0.808180 - 1.5s
[CV] c1=1.7997186106473309, c2=0.0754349182496969 ....................
[CV] c1=1.7997186106473309, c2=0.0754349182496969, score=0.802498 - 1.4s
[CV] c1=0.33946363371240573, c2=0.06622555496570426 ..................
[CV] c1=0.33946363371240573, c2=0.06622555496570426, score=0.848812 - 1.1s
[CV] c1=0.5156471700537973, c2=0.02054673519357734 ...................
[CV] c1=0.5156471700537973, c2=0.02054673519357734, score=0.803867 - 1.4s
[CV] c1=0.9083002880554646, c2=0.06812733950477726 ...................
[CV] c1=0.9083002880554646, c2=0.06812733950477726, score=0.806478 - 1.3s
[CV] c1=0.3260719095302179, c2=0.006813084571107944 ..................
[CV] c1=0.3260719095302179, c2=0.006813084571107944, score=0.893526 - 1.4s
[CV] c1=0.3711464209171215, c2=0.026426512830792455 ..................
[CV] c1=0.3711464209171215, c2=0.026426512830792455, score=0.908106 - 1.5s
[CV] c1=1.7997186106473309, c2=0.0754349182496969 ....................
[CV] c1=1.7997186106473309, c2=0.0754349182496969, score=0.818343 - 1.4s
[CV] c1=0.33946363371240573, c2=0.06622555496570426 ..................
[CV] c1=0.33946363371240573, c2=0.06622555496570426, score=0.931991 - 1.1s
[CV] c1=1.2139996411914353, c2=0.031522439704619994 ..................
[CV] c1=1.2139996411914353, c2=0.031522439704619994, score=0.808404 - 1.7s
[CV] c1=0.2523286024761347, c2=0.0139653511518441 ....................
[CV] c1=0.2523286024761347, c2=0.0139653511518441, score=0.927980 - 1.6s
[CV] c1=0.3711464209171215, c2=0.026426512830792455 ..................
[CV] c1=0.3711464209171215, c2=0.026426512830792455, score=0.850431 - 1.7s
[CV] c1=1.7997186106473309, c2=0.0754349182496969 ....................
[CV] c1=1.7997186106473309, c2=0.0754349182496969, score=0.880703 - 1.4s
[CV] c1=0.33946363371240573, c2=0.06622555496570426 ..................
[CV] c1=0.33946363371240573, c2=0.06622555496570426, score=0.830861 - 1.2s
[CV] c1=1.31221984858164, c2=0.02750876882572302 .....................
[CV] c1=1.31221984858164, c2=0.02750876882572302, score=0.891597 - 1.5s
[CV] c1=0.22410917154971952, c2=0.0741115060611966 ...................
[CV] c1=0.22410917154971952, c2=0.0741115060611966, score=0.942868 - 1.6s
[CV] c1=0.6959486853419434, c2=0.0462324893691317 ....................
[CV] c1=0.6959486853419434, c2=0.0462324893691317, score=0.795123 - 1.5s
[CV] c1=1.7997186106473309, c2=0.0754349182496969 ....................
[CV] c1=1.7997186106473309, c2=0.0754349182496969, score=0.729366 - 1.5s
[CV] c1=0.33946363371240573, c2=0.06622555496570426 ..................
[CV] c1=0.33946363371240573, c2=0.06622555496570426, score=0.939034 - 1.1s
[CV] c1=1.2139996411914353, c2=0.031522439704619994 ..................
[CV] c1=1.2139996411914353, c2=0.031522439704619994, score=0.902496 - 1.7s
[CV] c1=0.22410917154971952, c2=0.0741115060611966 ...................
[CV] c1=0.22410917154971952, c2=0.0741115060611966, score=0.717781 - 1.6s
[CV] c1=0.3711464209171215, c2=0.026426512830792455 ..................
[CV] c1=0.3711464209171215, c2=0.026426512830792455, score=0.866353 - 1.5s
[CV] c1=1.7997186106473309, c2=0.0754349182496969 ....................
[CV] c1=1.7997186106473309, c2=0.0754349182496969, score=0.754354 - 1.5s
[CV] c1=0.33946363371240573, c2=0.06622555496570426 ..................
[CV] c1=0.33946363371240573, c2=0.06622555496570426, score=0.717781 - 1.4s
[CV] c1=1.2139996411914353, c2=0.031522439704619994 ..................
[CV] c1=1.2139996411914353, c2=0.031522439704619994, score=0.855055 - 1.6s
[CV] c1=0.2523286024761347, c2=0.0139653511518441 ....................
[CV] c1=0.2523286024761347, c2=0.0139653511518441, score=0.851448 - 1.5s
[CV] c1=0.07499151432771352, c2=0.07791789139191967 ..................
[CV] c1=0.07499151432771352, c2=0.07791789139191967, score=0.858557 - 1.7s
[CV] c1=0.9736319201376714, c2=0.005278958003940855 ..................
[CV] c1=0.9736319201376714, c2=0.005278958003940855, score=0.792413 - 1.6s
[CV] c1=0.33946363371240573, c2=0.06622555496570426 ..................
[CV] c1=0.33946363371240573, c2=0.06622555496570426, score=0.804491 - 1.3s
[CV] c1=1.4441295867817865, c2=0.04617298610100537 ...................
[CV] c1=1.4441295867817865, c2=0.04617298610100537, score=0.749684 - 1.1s
[CV] c1=0.9083002880554646, c2=0.06812733950477726 ...................
[CV] c1=0.9083002880554646, c2=0.06812733950477726, score=0.612088 - 1.5s
[CV] c1=0.3260719095302179, c2=0.006813084571107944 ..................
[CV] c1=0.3260719095302179, c2=0.006813084571107944, score=0.866353 - 1.5s
[CV] c1=0.3711464209171215, c2=0.026426512830792455 ..................
[CV] c1=0.3711464209171215, c2=0.026426512830792455, score=0.932576 - 1.7s
[CV] c1=1.153575870900293, c2=0.05542813661094087 ....................
[CV] c1=1.153575870900293, c2=0.05542813661094087, score=0.798145 - 1.3s
[CV] c1=0.33946363371240573, c2=0.06622555496570426 ..................
[CV] c1=0.33946363371240573, c2=0.06622555496570426, score=0.884921 - 1.1s
[CV] c1=1.31221984858164, c2=0.02750876882572302 .....................
[CV] c1=1.31221984858164, c2=0.02750876882572302, score=0.801309 - 1.4s
[CV] c1=0.22410917154971952, c2=0.0741115060611966 ...................
[CV] c1=0.22410917154971952, c2=0.0741115060611966, score=0.931991 - 1.5s
[CV] c1=0.3711464209171215, c2=0.026426512830792455 ..................
[CV] c1=0.3711464209171215, c2=0.026426512830792455, score=0.712169 - 1.6s
[CV] c1=1.7997186106473309, c2=0.0754349182496969 ....................
[CV] c1=1.7997186106473309, c2=0.0754349182496969, score=0.774478 - 1.7s
[CV] c1=0.33946363371240573, c2=0.06622555496570426 ..................
[CV] c1=0.33946363371240573, c2=0.06622555496570426, score=0.913784 - 1.2s
Training done in: 10.202275s
Saving training model...
Saving training model done in: 0.014887s
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Prediction done in: 0.043297s