Run3_v1.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: _v9
Exclude symbols: False
-------------------------------- PROCESSING --------------------------------
Reading corpus...
Sentences training data: 283
Sentences test data: 122
Reading corpus done in: 0.003814s
{'lemma': 'δsoxs', 'postag': 'NN', '+1:lemma': 'pq', '+1:postag': 'NN'}
{'lemma': 'affyexp', 'postag': 'JJ', '+1:lemma': '_', '+1:postag': 'NN'}
Fitting 10 folds for each of 20 candidates, totalling 200 fits
[CV] c1=0.016595180754549518, c2=0.030948306031002376 ................
[CV] c1=0.016595180754549518, c2=0.030948306031002376, score=0.867500 - 1.3s
[CV] c1=0.7863468698144266, c2=0.0037442044888246354 .................
[CV] c1=0.7863468698144266, c2=0.0037442044888246354, score=0.903565 - 1.2s
[CV] c1=0.43749590188690224, c2=0.13150259694056668 ..................
[CV] c1=0.43749590188690224, c2=0.13150259694056668, score=0.883954 - 1.3s
[CV] c1=1.5356087724511331, c2=0.14043664965912495 ...................
[CV] c1=1.5356087724511331, c2=0.14043664965912495, score=0.577372 - 1.1s
[CV] c1=0.016595180754549518, c2=0.030948306031002376 ................
[CV] c1=0.016595180754549518, c2=0.030948306031002376, score=0.923613 - 1.4s
[CV] c1=0.7789541450968716, c2=0.013394697180379615 ..................
[CV] c1=0.7789541450968716, c2=0.013394697180379615, score=0.651934 - 1.0s
[CV] c1=0.43749590188690224, c2=0.13150259694056668 ..................
[CV] c1=0.43749590188690224, c2=0.13150259694056668, score=0.917838 - 1.0s
[CV] c1=2.0055201578565307, c2=0.00218367124029512 ...................
[CV] c1=2.0055201578565307, c2=0.00218367124029512, score=0.674465 - 1.4s
[CV] c1=1.1186692278337627, c2=0.22309738782267205 ...................
[CV] c1=1.1186692278337627, c2=0.22309738782267205, score=0.571018 - 1.0s
[CV] c1=0.5233514980566518, c2=0.05607213609434676 ...................
[CV] c1=0.5233514980566518, c2=0.05607213609434676, score=0.860755 - 1.2s
[CV] c1=0.7789541450968716, c2=0.013394697180379615 ..................
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[CV] c1=0.3568772328262357, c2=0.03679897833962741 ...................
[CV] c1=0.3568772328262357, c2=0.03679897833962741, score=0.899703 - 1.1s
[CV] c1=1.5356087724511331, c2=0.14043664965912495 ...................
[CV] c1=1.5356087724511331, c2=0.14043664965912495, score=0.566968 - 1.0s
[CV] c1=0.5018716826309633, c2=0.04614139578392318 ...................
[CV] c1=0.5018716826309633, c2=0.04614139578392318, score=0.753693 - 0.8s
[CV] c1=0.5233514980566518, c2=0.05607213609434676 ...................
[CV] c1=0.5233514980566518, c2=0.05607213609434676, score=0.632439 - 1.1s
[CV] c1=0.7789541450968716, c2=0.013394697180379615 ..................
[CV] c1=0.7789541450968716, c2=0.013394697180379615, score=0.684055 - 1.2s
[CV] c1=0.3568772328262357, c2=0.03679897833962741 ...................
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[CV] c1=1.5356087724511331, c2=0.14043664965912495 ...................
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[CV] c1=0.5018716826309633, c2=0.04614139578392318 ...................
[CV] c1=0.5018716826309633, c2=0.04614139578392318, score=0.774739 - 0.9s
[CV] c1=0.5233514980566518, c2=0.05607213609434676 ...................
[CV] c1=0.5233514980566518, c2=0.05607213609434676, score=0.814703 - 1.3s
[CV] c1=2.291960860484793, c2=0.020013816890766867 ...................
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[CV] c1=0.3568772328262357, c2=0.03679897833962741 ...................
[CV] c1=0.3568772328262357, c2=0.03679897833962741, score=0.592237 - 0.9s
[CV] c1=1.5356087724511331, c2=0.14043664965912495 ...................
[CV] c1=1.5356087724511331, c2=0.14043664965912495, score=0.614085 - 1.3s
[CV] c1=0.3624734639674293, c2=0.06885589564532553 ...................
[CV] c1=0.3624734639674293, c2=0.06885589564532553, score=0.667917 - 1.0s
[CV] c1=0.1181247797079666, c2=0.014644040000881146 ..................
[CV] c1=0.1181247797079666, c2=0.014644040000881146, score=0.920970 - 1.1s
[CV] c1=2.291960860484793, c2=0.020013816890766867 ...................
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[CV] c1=0.5286937810460386, c2=0.02768432633092313 ...................
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[CV] c1=0.7423324269870698, c2=0.05489724550548968 ...................
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[CV] c1=0.3624734639674293, c2=0.06885589564532553 ...................
[CV] c1=0.3624734639674293, c2=0.06885589564532553, score=0.899703 - 1.0s
[CV] c1=0.1181247797079666, c2=0.014644040000881146 ..................
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[CV] c1=0.10489093988322791, c2=0.040276414459420484 .................
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[CV] c1=0.09784611146788476, c2=0.054300102474929904 .................
[CV] c1=0.09784611146788476, c2=0.054300102474929904, score=0.906853 - 0.9s
[CV] c1=0.7423324269870698, c2=0.05489724550548968 ...................
[CV] c1=0.7423324269870698, c2=0.05489724550548968, score=0.576589 - 0.9s
[CV] c1=0.5018716826309633, c2=0.04614139578392318 ...................
[CV] c1=0.5018716826309633, c2=0.04614139578392318, score=0.899703 - 1.2s
[CV] c1=0.649264531621016, c2=0.031877071613145826 ...................
[CV] c1=0.649264531621016, c2=0.031877071613145826, score=0.673541 - 1.0s
[CV] c1=0.10489093988322791, c2=0.040276414459420484 .................
[CV] c1=0.10489093988322791, c2=0.040276414459420484, score=0.649654 - 1.0s
[CV] c1=0.5286937810460386, c2=0.02768432633092313 ...................
[CV] c1=0.5286937810460386, c2=0.02768432633092313, score=0.555809 - 0.8s
[CV] c1=1.5356087724511331, c2=0.14043664965912495 ...................
[CV] c1=1.5356087724511331, c2=0.14043664965912495, score=0.509067 - 1.1s
[CV] c1=1.1186692278337627, c2=0.22309738782267205 ...................
[CV] c1=1.1186692278337627, c2=0.22309738782267205, score=0.722890 - 1.1s
[CV] c1=0.1181247797079666, c2=0.014644040000881146 ..................
[CV] c1=0.1181247797079666, c2=0.014644040000881146, score=0.721334 - 1.1s
[CV] c1=0.7789541450968716, c2=0.013394697180379615 ..................
[CV] c1=0.7789541450968716, c2=0.013394697180379615, score=0.563354 - 1.0s
[CV] c1=0.3568772328262357, c2=0.03679897833962741 ...................
[CV] c1=0.3568772328262357, c2=0.03679897833962741, score=0.858883 - 1.2s
[CV] c1=1.5356087724511331, c2=0.14043664965912495 ...................
[CV] c1=1.5356087724511331, c2=0.14043664965912495, score=0.605840 - 1.1s
[CV] c1=1.1186692278337627, c2=0.22309738782267205 ...................
[CV] c1=1.1186692278337627, c2=0.22309738782267205, score=0.585484 - 1.0s
[CV] c1=0.5233514980566518, c2=0.05607213609434676 ...................
[CV] c1=0.5233514980566518, c2=0.05607213609434676, score=0.899703 - 1.1s
[CV] c1=0.7789541450968716, c2=0.013394697180379615 ..................
[CV] c1=0.7789541450968716, c2=0.013394697180379615, score=0.872399 - 1.2s
[CV] c1=0.3568772328262357, c2=0.03679897833962741 ...................
[CV] c1=0.3568772328262357, c2=0.03679897833962741, score=0.751661 - 1.1s
[CV] c1=1.5356087724511331, c2=0.14043664965912495 ...................
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[CV] c1=1.1186692278337627, c2=0.22309738782267205 ...................
[CV] c1=1.1186692278337627, c2=0.22309738782267205, score=0.698982 - 1.0s
[CV] c1=0.5233514980566518, c2=0.05607213609434676 ...................
[CV] c1=0.5233514980566518, c2=0.05607213609434676, score=0.557862 - 1.1s
[CV] c1=0.7789541450968716, c2=0.013394697180379615 ..................
[CV] c1=0.7789541450968716, c2=0.013394697180379615, score=0.891760 - 1.2s
[CV] c1=0.5286937810460386, c2=0.02768432633092313 ...................
[CV] c1=0.5286937810460386, c2=0.02768432633092313, score=0.710539 - 1.1s
[CV] c1=0.7423324269870698, c2=0.05489724550548968 ...................
[CV] c1=0.7423324269870698, c2=0.05489724550548968, score=0.659121 - 1.1s
[CV] c1=0.5018716826309633, c2=0.04614139578392318 ...................
[CV] c1=0.5018716826309633, c2=0.04614139578392318, score=0.660012 - 1.0s
[CV] c1=0.1181247797079666, c2=0.014644040000881146 ..................
[CV] c1=0.1181247797079666, c2=0.014644040000881146, score=0.674776 - 1.1s
[CV] c1=0.7789541450968716, c2=0.013394697180379615 ..................
[CV] c1=0.7789541450968716, c2=0.013394697180379615, score=0.903565 - 1.1s
[CV] c1=0.3568772328262357, c2=0.03679897833962741 ...................
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[CV] c1=0.7423324269870698, c2=0.05489724550548968 ...................
[CV] c1=0.7423324269870698, c2=0.05489724550548968, score=0.687750 - 1.3s
[CV] c1=1.1186692278337627, c2=0.22309738782267205 ...................
[CV] c1=1.1186692278337627, c2=0.22309738782267205, score=0.770514 - 1.0s
[CV] c1=0.5233514980566518, c2=0.05607213609434676 ...................
[CV] c1=0.5233514980566518, c2=0.05607213609434676, score=0.729308 - 1.1s
[CV] c1=0.7789541450968716, c2=0.013394697180379615 ..................
[CV] c1=0.7789541450968716, c2=0.013394697180379615, score=0.794740 - 1.2s
[CV] c1=0.3568772328262357, c2=0.03679897833962741 ...................
[CV] c1=0.3568772328262357, c2=0.03679897833962741, score=0.860755 - 1.2s
[CV] c1=1.5356087724511331, c2=0.14043664965912495 ...................
[CV] c1=1.5356087724511331, c2=0.14043664965912495, score=0.677721 - 1.3s
[CV] c1=0.016595180754549518, c2=0.030948306031002376 ................
[CV] c1=0.016595180754549518, c2=0.030948306031002376, score=0.654823 - 1.2s
[CV] c1=0.7863468698144266, c2=0.0037442044888246354 .................
[CV] c1=0.7863468698144266, c2=0.0037442044888246354, score=0.694072 - 1.2s
[CV] c1=0.43749590188690224, c2=0.13150259694056668 ..................
[CV] c1=0.43749590188690224, c2=0.13150259694056668, score=0.814703 - 1.0s
[CV] c1=0.09784611146788476, c2=0.054300102474929904 .................
[CV] c1=0.09784611146788476, c2=0.054300102474929904, score=0.601571 - 0.9s
[CV] c1=0.3136994988226159, c2=0.003462481114435929 ..................
[CV] c1=0.3136994988226159, c2=0.003462481114435929, score=0.679766 - 0.8s
[CV] c1=0.5018716826309633, c2=0.04614139578392318 ...................
[CV] c1=0.5018716826309633, c2=0.04614139578392318, score=0.812131 - 0.9s
[CV] c1=0.5233514980566518, c2=0.05607213609434676 ...................
[CV] c1=0.5233514980566518, c2=0.05607213609434676, score=0.917838 - 1.2s
[CV] c1=2.291960860484793, c2=0.020013816890766867 ...................
[CV] c1=2.291960860484793, c2=0.020013816890766867, score=0.588673 - 1.1s
[CV] c1=0.5286937810460386, c2=0.02768432633092313 ...................
[CV] c1=0.5286937810460386, c2=0.02768432633092313, score=0.660012 - 1.1s
[CV] c1=0.7423324269870698, c2=0.05489724550548968 ...................
[CV] c1=0.7423324269870698, c2=0.05489724550548968, score=0.719434 - 1.2s
[CV] c1=0.5018716826309633, c2=0.04614139578392318 ...................
[CV] c1=0.5018716826309633, c2=0.04614139578392318, score=0.555809 - 0.9s
[CV] c1=0.1181247797079666, c2=0.014644040000881146 ..................
[CV] c1=0.1181247797079666, c2=0.014644040000881146, score=0.814619 - 1.1s
[CV] c1=2.291960860484793, c2=0.020013816890766867 ...................
[CV] c1=2.291960860484793, c2=0.020013816890766867, score=0.683547 - 1.2s
[CV] c1=0.5286937810460386, c2=0.02768432633092313 ...................
[CV] c1=0.5286937810460386, c2=0.02768432633092313, score=0.784199 - 1.1s
[CV] c1=0.7423324269870698, c2=0.05489724550548968 ...................
[CV] c1=0.7423324269870698, c2=0.05489724550548968, score=0.794740 - 1.0s
[CV] c1=0.5018716826309633, c2=0.04614139578392318 ...................
[CV] c1=0.5018716826309633, c2=0.04614139578392318, score=0.852821 - 0.9s
[CV] c1=0.5233514980566518, c2=0.05607213609434676 ...................
[CV] c1=0.5233514980566518, c2=0.05607213609434676, score=0.753693 - 1.1s
[CV] c1=0.7789541450968716, c2=0.013394697180379615 ..................
[CV] c1=0.7789541450968716, c2=0.013394697180379615, score=0.747150 - 1.1s
[CV] c1=0.3568772328262357, c2=0.03679897833962741 ...................
[CV] c1=0.3568772328262357, c2=0.03679897833962741, score=0.920970 - 1.1s
[CV] c1=1.5356087724511331, c2=0.14043664965912495 ...................
[CV] c1=1.5356087724511331, c2=0.14043664965912495, score=0.791738 - 1.0s
[CV] c1=0.3624734639674293, c2=0.06885589564532553 ...................
[CV] c1=0.3624734639674293, c2=0.06885589564532553, score=0.866790 - 1.2s
[CV] c1=0.649264531621016, c2=0.031877071613145826 ...................
[CV] c1=0.649264531621016, c2=0.031877071613145826, score=0.912680 - 1.2s
[CV] c1=0.43749590188690224, c2=0.13150259694056668 ..................
[CV] c1=0.43749590188690224, c2=0.13150259694056668, score=0.710694 - 1.1s
[CV] c1=2.0055201578565307, c2=0.00218367124029512 ...................
[CV] c1=2.0055201578565307, c2=0.00218367124029512, score=0.643620 - 1.1s
[CV] c1=0.3136994988226159, c2=0.003462481114435929 ..................
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[CV] c1=0.3624734639674293, c2=0.06885589564532553 ...................
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[CV] c1=0.1181247797079666, c2=0.014644040000881146 ..................
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[CV] c1=2.291960860484793, c2=0.020013816890766867 ...................
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[CV] c1=0.5286937810460386, c2=0.02768432633092313 ...................
[CV] c1=0.5286937810460386, c2=0.02768432633092313, score=0.780490 - 1.1s
[CV] c1=0.7423324269870698, c2=0.05489724550548968 ...................
[CV] c1=0.7423324269870698, c2=0.05489724550548968, score=0.852044 - 1.0s
[CV] c1=0.5018716826309633, c2=0.04614139578392318 ...................
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[CV] c1=0.7863468698144266, c2=0.0037442044888246354 .................
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[CV] c1=0.10489093988322791, c2=0.040276414459420484 .................
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[CV] c1=0.09784611146788476, c2=0.054300102474929904 .................
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[CV] c1=0.7423324269870698, c2=0.05489724550548968 ...................
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[CV] c1=0.016595180754549518, c2=0.030948306031002376 ................
[CV] c1=0.016595180754549518, c2=0.030948306031002376, score=0.890667 - 1.2s
[CV] c1=0.7863468698144266, c2=0.0037442044888246354 .................
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[CV] c1=0.43749590188690224, c2=0.13150259694056668 ..................
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[CV] c1=2.0055201578565307, c2=0.00218367124029512 ...................
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[CV] c1=0.3136994988226159, c2=0.003462481114435929 ..................
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[CV] c1=1.1186692278337627, c2=0.22309738782267205 ...................
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[CV] c1=0.1181247797079666, c2=0.014644040000881146 ..................
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[CV] c1=2.291960860484793, c2=0.020013816890766867 ...................
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[CV] c1=0.5286937810460386, c2=0.02768432633092313 ...................
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[CV] c1=0.7423324269870698, c2=0.05489724550548968 ...................
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[CV] c1=0.3624734639674293, c2=0.06885589564532553 ...................
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[CV] c1=0.649264531621016, c2=0.031877071613145826 ...................
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[CV] c1=2.291960860484793, c2=0.020013816890766867 ...................
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[CV] c1=0.5286937810460386, c2=0.02768432633092313 ...................
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[CV] c1=0.7423324269870698, c2=0.05489724550548968 ...................
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[CV] c1=0.016595180754549518, c2=0.030948306031002376 ................
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[CV] c1=0.7863468698144266, c2=0.0037442044888246354 .................
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[CV] c1=0.43749590188690224, c2=0.13150259694056668 ..................
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[CV] c1=2.0055201578565307, c2=0.00218367124029512 ...................
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[CV] c1=0.44728536850250333, c2=0.015283238629035883 .................
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[CV] c1=0.016595180754549518, c2=0.030948306031002376 ................
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[CV] c1=0.7863468698144266, c2=0.0037442044888246354 .................
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[CV] c1=0.43749590188690224, c2=0.13150259694056668 ..................
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[CV] c1=2.0055201578565307, c2=0.00218367124029512 ...................
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[CV] c1=0.3136994988226159, c2=0.003462481114435929 ..................
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[CV] c1=1.1186692278337627, c2=0.22309738782267205 ...................
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[CV] c1=0.1181247797079666, c2=0.014644040000881146 ..................
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[CV] c1=0.10489093988322791, c2=0.040276414459420484 .................
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[CV] c1=0.09784611146788476, c2=0.054300102474929904 .................
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[CV] c1=0.44728536850250333, c2=0.015283238629035883 .................
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[CV] c1=0.016595180754549518, c2=0.030948306031002376 ................
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[CV] c1=0.649264531621016, c2=0.031877071613145826 ...................
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[CV] c1=0.10489093988322791, c2=0.040276414459420484 .................
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[CV] c1=0.09784611146788476, c2=0.054300102474929904 .................
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[CV] c1=0.3136994988226159, c2=0.003462481114435929 ..................
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[CV] c1=0.016595180754549518, c2=0.030948306031002376 ................
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[CV] c1=0.649264531621016, c2=0.031877071613145826 ...................
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[CV] c1=0.10489093988322791, c2=0.040276414459420484 .................
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[CV] c1=0.09784611146788476, c2=0.054300102474929904 .................
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[CV] c1=0.3136994988226159, c2=0.003462481114435929 ..................
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[CV] c1=0.3624734639674293, c2=0.06885589564532553 ...................
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[CV] c1=0.1181247797079666, c2=0.014644040000881146 ..................
[CV] c1=0.1181247797079666, c2=0.014644040000881146, score=0.592237 - 1.0s
[CV] c1=2.291960860484793, c2=0.020013816890766867 ...................
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[CV] c1=0.5286937810460386, c2=0.02768432633092313 ...................
[CV] c1=0.5286937810460386, c2=0.02768432633092313, score=0.861675 - 1.3s
[CV] c1=0.3136994988226159, c2=0.003462481114435929 ..................
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[CV] c1=0.5018716826309633, c2=0.04614139578392318 ...................
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[CV] c1=0.649264531621016, c2=0.031877071613145826 ...................
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[CV] c1=2.291960860484793, c2=0.020013816890766867 ...................
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[CV] c1=0.09784611146788476, c2=0.054300102474929904 .................
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[CV] c1=0.3136994988226159, c2=0.003462481114435929 ..................
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[CV] c1=0.5018716826309633, c2=0.04614139578392318 ...................
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[CV] c1=0.7863468698144266, c2=0.0037442044888246354 .................
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[CV] c1=0.10489093988322791, c2=0.040276414459420484 .................
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[CV] c1=0.09784611146788476, c2=0.054300102474929904 .................
[CV] c1=0.09784611146788476, c2=0.054300102474929904, score=0.848001 - 1.3s
[CV] c1=0.44728536850250333, c2=0.015283238629035883 .................
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[CV] c1=0.3624734639674293, c2=0.06885589564532553 ...................
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[CV] c1=0.649264531621016, c2=0.031877071613145826 ...................
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[CV] c1=0.10489093988322791, c2=0.040276414459420484 .................
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[CV] c1=0.09784611146788476, c2=0.054300102474929904 .................
[CV] c1=0.09784611146788476, c2=0.054300102474929904, score=0.830436 - 1.1s
[CV] c1=0.3136994988226159, c2=0.003462481114435929 ..................
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[CV] c1=1.1186692278337627, c2=0.22309738782267205 ...................
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[CV] c1=0.5233514980566518, c2=0.05607213609434676 ...................
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[CV] c1=0.7789541450968716, c2=0.013394697180379615 ..................
[CV] c1=0.7789541450968716, c2=0.013394697180379615, score=0.743125 - 1.2s
[CV] c1=0.3568772328262357, c2=0.03679897833962741 ...................
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[CV] c1=2.0055201578565307, c2=0.00218367124029512 ...................
[CV] c1=2.0055201578565307, c2=0.00218367124029512, score=0.660504 - 1.1s
[CV] c1=0.44728536850250333, c2=0.015283238629035883 .................
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[CV] c1=1.1186692278337627, c2=0.22309738782267205 ...................
[CV] c1=1.1186692278337627, c2=0.22309738782267205, score=0.554896 - 1.1s
[CV] c1=0.1181247797079666, c2=0.014644040000881146 ..................
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[CV] c1=2.291960860484793, c2=0.020013816890766867 ...................
[CV] c1=2.291960860484793, c2=0.020013816890766867, score=0.601310 - 1.2s
[CV] c1=0.5286937810460386, c2=0.02768432633092313 ...................
[CV] c1=0.5286937810460386, c2=0.02768432633092313, score=0.753693 - 1.2s
[CV] c1=0.3136994988226159, c2=0.003462481114435929 ..................
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[CV] c1=0.3624734639674293, c2=0.06885589564532553 ...................
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[CV] c1=0.649264531621016, c2=0.031877071613145826 ...................
[CV] c1=0.649264531621016, c2=0.031877071613145826, score=0.817004 - 1.3s
[CV] c1=0.10489093988322791, c2=0.040276414459420484 .................
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[CV] c1=2.0055201578565307, c2=0.00218367124029512 ...................
[CV] c1=2.0055201578565307, c2=0.00218367124029512, score=0.614085 - 1.2s
[CV] c1=0.44728536850250333, c2=0.015283238629035883 .................
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[CV] c1=0.016595180754549518, c2=0.030948306031002376 ................
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[CV] c1=0.7863468698144266, c2=0.0037442044888246354 .................
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[CV] c1=0.43749590188690224, c2=0.13150259694056668 ..................
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[CV] c1=2.0055201578565307, c2=0.00218367124029512 ...................
[CV] c1=2.0055201578565307, c2=0.00218367124029512, score=0.596309 - 1.2s
[CV] c1=0.44728536850250333, c2=0.015283238629035883 .................
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[CV] c1=0.016595180754549518, c2=0.030948306031002376 ................
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[CV] c1=0.7863468698144266, c2=0.0037442044888246354 .................
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[CV] c1=0.43749590188690224, c2=0.13150259694056668 ..................
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[CV] c1=2.0055201578565307, c2=0.00218367124029512 ...................
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[CV] c1=0.44728536850250333, c2=0.015283238629035883 .................
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[CV] c1=0.3624734639674293, c2=0.06885589564532553 ...................
[CV] c1=0.3624734639674293, c2=0.06885589564532553, score=0.572450 - 1.1s
[CV] c1=0.649264531621016, c2=0.031877071613145826 ...................
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[CV] c1=0.10489093988322791, c2=0.040276414459420484 .................
[CV] c1=0.10489093988322791, c2=0.040276414459420484, score=0.735607 - 1.1s
[CV] c1=0.09784611146788476, c2=0.054300102474929904 .................
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[CV] c1=0.44728536850250333, c2=0.015283238629035883 .................
[CV] c1=0.44728536850250333, c2=0.015283238629035883, score=0.835074 - 1.0s
[CV] c1=1.1186692278337627, c2=0.22309738782267205 ...................
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[CV] c1=0.5233514980566518, c2=0.05607213609434676 ...................
[CV] c1=0.5233514980566518, c2=0.05607213609434676, score=0.721334 - 1.1s
[CV] c1=0.7863468698144266, c2=0.0037442044888246354 .................
[CV] c1=0.7863468698144266, c2=0.0037442044888246354, score=0.891760 - 1.3s
[CV] c1=0.3568772328262357, c2=0.03679897833962741 ...................
[CV] c1=0.3568772328262357, c2=0.03679897833962741, score=0.721334 - 1.1s
[CV] c1=1.5356087724511331, c2=0.14043664965912495 ...................
[CV] c1=1.5356087724511331, c2=0.14043664965912495, score=0.654414 - 1.2s
[CV] c1=0.44728536850250333, c2=0.015283238629035883 .................
[CV] c1=0.44728536850250333, c2=0.015283238629035883, score=0.899703 - 0.8s
Training done in: 7.351656s
Saving training model...
Saving training model done in: 0.013628s
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Prediction done in: 0.024027s