Run4_v10.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: True True
Report file: _v10
Exclude symbols: False
-------------------------------- PROCESSING --------------------------------
Reading corpus...
Sentences training data: 286
Sentences test data: 123
Reading corpus done in: 0.003643s
-------------------------------- FEATURES --------------------------------
--------------------------Features Training ---------------------------
0 1
0 lemma 2
1 postag CD
2 -1:lemma fructose
3 -1:postag NN
4 hUpper False
5 hLower False
6 hGreek False
7 symb False
8 word[:1] 2
9 word 2
10 isUpper False
11 isLower False
12 isGreek False
13 isNumber True
14 -1:word fructose
--------------------------- 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 True
10 word[:1] d
11 word[:2] de
12 word delta-arcA
13 isUpper False
14 isLower False
15 isGreek False
16 isNumber False
17 -1:word _
18 +1:word _
Fitting 10 folds for each of 20 candidates, totalling 200 fits
[CV] c1=0.6046210421342428, c2=0.0018704346879680148 .................
[CV] c1=0.6046210421342428, c2=0.0018704346879680148, score=0.816050 - 1.6s
[CV] c1=0.6179009466337114, c2=0.002181514835708188 ..................
[CV] c1=0.6179009466337114, c2=0.002181514835708188, score=0.926953 - 1.7s
[CV] c1=0.2638023230321177, c2=0.06792066436605755 ...................
[CV] c1=0.2638023230321177, c2=0.06792066436605755, score=0.933744 - 1.7s
[CV] c1=0.17464871789378875, c2=0.02917298523437019 ..................
[CV] c1=0.17464871789378875, c2=0.02917298523437019, score=0.887494 - 1.6s
[CV] c1=1.5850582793740133, c2=0.006031153365809011 ..................
[CV] c1=1.5850582793740133, c2=0.006031153365809011, score=0.709618 - 1.3s
[CV] c1=0.020629021419747984, c2=0.09674171855208936 .................
[CV] c1=0.020629021419747984, c2=0.09674171855208936, score=0.855428 - 1.4s
[CV] c1=0.05028906165720029, c2=0.013800616937860201 .................
[CV] c1=0.05028906165720029, c2=0.013800616937860201, score=0.879162 - 1.5s
[CV] c1=0.5285059753801489, c2=0.17454057484817095 ...................
[CV] c1=0.5285059753801489, c2=0.17454057484817095, score=0.845321 - 1.6s
[CV] c1=0.17464871789378875, c2=0.02917298523437019 ..................
[CV] c1=0.17464871789378875, c2=0.02917298523437019, score=0.862696 - 1.5s
[CV] c1=1.5850582793740133, c2=0.006031153365809011 ..................
[CV] c1=1.5850582793740133, c2=0.006031153365809011, score=0.757732 - 1.7s
[CV] c1=0.6179009466337114, c2=0.002181514835708188 ..................
[CV] c1=0.6179009466337114, c2=0.002181514835708188, score=0.764025 - 1.7s
[CV] c1=0.2638023230321177, c2=0.06792066436605755 ...................
[CV] c1=0.2638023230321177, c2=0.06792066436605755, score=0.820536 - 1.7s
[CV] c1=0.053206938300665814, c2=0.06273821586246515 .................
[CV] c1=0.053206938300665814, c2=0.06273821586246515, score=0.946184 - 1.8s
[CV] c1=1.2268317662906305, c2=0.06470746530660952 ...................
[CV] c1=1.2268317662906305, c2=0.06470746530660952, score=0.744402 - 0.9s
[CV] c1=0.020629021419747984, c2=0.09674171855208936 .................
[CV] c1=0.020629021419747984, c2=0.09674171855208936, score=0.877385 - 1.8s
[CV] c1=0.05028906165720029, c2=0.013800616937860201 .................
[CV] c1=0.05028906165720029, c2=0.013800616937860201, score=0.764655 - 1.6s
[CV] c1=0.5285059753801489, c2=0.17454057484817095 ...................
[CV] c1=0.5285059753801489, c2=0.17454057484817095, score=0.798251 - 1.4s
[CV] c1=0.053206938300665814, c2=0.06273821586246515 .................
[CV] c1=0.053206938300665814, c2=0.06273821586246515, score=0.855428 - 1.6s
[CV] c1=1.2268317662906305, c2=0.06470746530660952 ...................
[CV] c1=1.2268317662906305, c2=0.06470746530660952, score=0.842326 - 1.3s
[CV] c1=0.020629021419747984, c2=0.09674171855208936 .................
[CV] c1=0.020629021419747984, c2=0.09674171855208936, score=0.823547 - 1.8s
[CV] c1=0.05028906165720029, c2=0.013800616937860201 .................
[CV] c1=0.05028906165720029, c2=0.013800616937860201, score=0.917533 - 1.6s
[CV] c1=0.5285059753801489, c2=0.17454057484817095 ...................
[CV] c1=0.5285059753801489, c2=0.17454057484817095, score=0.849461 - 1.6s
[CV] c1=0.17464871789378875, c2=0.02917298523437019 ..................
[CV] c1=0.17464871789378875, c2=0.02917298523437019, score=0.956017 - 1.7s
[CV] c1=1.2268317662906305, c2=0.06470746530660952 ...................
[CV] c1=1.2268317662906305, c2=0.06470746530660952, score=0.718760 - 1.1s
[CV] c1=0.020629021419747984, c2=0.09674171855208936 .................
[CV] c1=0.020629021419747984, c2=0.09674171855208936, score=0.769157 - 1.6s
[CV] c1=0.05028906165720029, c2=0.013800616937860201 .................
[CV] c1=0.05028906165720029, c2=0.013800616937860201, score=0.962317 - 1.6s
[CV] c1=0.5285059753801489, c2=0.17454057484817095 ...................
[CV] c1=0.5285059753801489, c2=0.17454057484817095, score=0.755875 - 1.7s
[CV] c1=0.17464871789378875, c2=0.02917298523437019 ..................
[CV] c1=0.17464871789378875, c2=0.02917298523437019, score=0.825397 - 1.7s
[CV] c1=1.2268317662906305, c2=0.06470746530660952 ...................
[CV] c1=1.2268317662906305, c2=0.06470746530660952, score=0.917914 - 1.7s
[CV] c1=0.2155834479911622, c2=0.0029264776464499433 .................
[CV] c1=0.2155834479911622, c2=0.0029264776464499433, score=0.953924 - 1.4s
[CV] c1=0.09166192910141026, c2=0.048811515969856084 .................
[CV] c1=0.09166192910141026, c2=0.048811515969856084, score=0.837545 - 1.4s
[CV] c1=0.5285059753801489, c2=0.17454057484817095 ...................
[CV] c1=0.5285059753801489, c2=0.17454057484817095, score=0.936979 - 1.7s
[CV] c1=0.17464871789378875, c2=0.02917298523437019 ..................
[CV] c1=0.17464871789378875, c2=0.02917298523437019, score=0.917533 - 1.5s
[CV] c1=1.5850582793740133, c2=0.006031153365809011 ..................
[CV] c1=1.5850582793740133, c2=0.006031153365809011, score=0.910399 - 1.2s
[CV] c1=0.020629021419747984, c2=0.09674171855208936 .................
[CV] c1=0.020629021419747984, c2=0.09674171855208936, score=0.824698 - 1.5s
[CV] c1=0.05028906165720029, c2=0.013800616937860201 .................
[CV] c1=0.05028906165720029, c2=0.013800616937860201, score=0.949229 - 1.5s
[CV] c1=0.5285059753801489, c2=0.17454057484817095 ...................
[CV] c1=0.5285059753801489, c2=0.17454057484817095, score=0.901481 - 1.5s
[CV] c1=0.17464871789378875, c2=0.02917298523437019 ..................
[CV] c1=0.17464871789378875, c2=0.02917298523437019, score=0.773844 - 1.6s
[CV] c1=0.1347820786765342, c2=0.008758562663578821 ..................
[CV] c1=0.1347820786765342, c2=0.008758562663578821, score=0.933539 - 1.4s
[CV] c1=0.2155834479911622, c2=0.0029264776464499433 .................
[CV] c1=0.2155834479911622, c2=0.0029264776464499433, score=0.773844 - 1.6s
[CV] c1=0.09166192910141026, c2=0.048811515969856084 .................
[CV] c1=0.09166192910141026, c2=0.048811515969856084, score=0.861150 - 1.6s
[CV] c1=0.06867876942163108, c2=0.08629637297136883 ..................
[CV] c1=0.06867876942163108, c2=0.08629637297136883, score=0.923280 - 1.5s
[CV] c1=0.03417136005039346, c2=0.03921705909174841 ..................
[CV] c1=0.03417136005039346, c2=0.03921705909174841, score=0.837545 - 1.3s
[CV] c1=1.5850582793740133, c2=0.006031153365809011 ..................
[CV] c1=1.5850582793740133, c2=0.006031153365809011, score=0.562594 - 1.3s
[CV] c1=0.2155834479911622, c2=0.0029264776464499433 .................
[CV] c1=0.2155834479911622, c2=0.0029264776464499433, score=0.822589 - 1.5s
[CV] c1=0.05028906165720029, c2=0.013800616937860201 .................
[CV] c1=0.05028906165720029, c2=0.013800616937860201, score=0.851303 - 1.6s
[CV] c1=0.5285059753801489, c2=0.17454057484817095 ...................
[CV] c1=0.5285059753801489, c2=0.17454057484817095, score=0.939878 - 1.7s
[CV] c1=0.17464871789378875, c2=0.02917298523437019 ..................
[CV] c1=0.17464871789378875, c2=0.02917298523437019, score=0.924709 - 1.5s
[CV] c1=0.1347820786765342, c2=0.008758562663578821 ..................
[CV] c1=0.1347820786765342, c2=0.008758562663578821, score=0.902555 - 1.7s
[CV] c1=1.3970723124823137, c2=0.028999715047213288 ..................
[CV] c1=1.3970723124823137, c2=0.028999715047213288, score=0.910399 - 1.5s
[CV] c1=0.4429406944502207, c2=0.2313487870042426 ....................
[CV] c1=0.4429406944502207, c2=0.2313487870042426, score=0.755875 - 1.6s
[CV] c1=0.43224809416014204, c2=0.15215212736465236 ..................
[CV] c1=0.43224809416014204, c2=0.15215212736465236, score=0.818139 - 1.4s
[CV] c1=0.03417136005039346, c2=0.03921705909174841 ..................
[CV] c1=0.03417136005039346, c2=0.03921705909174841, score=0.923280 - 1.2s
[CV] c1=1.2268317662906305, c2=0.06470746530660952 ...................
[CV] c1=1.2268317662906305, c2=0.06470746530660952, score=0.796199 - 1.5s
[CV] c1=0.020629021419747984, c2=0.09674171855208936 .................
[CV] c1=0.020629021419747984, c2=0.09674171855208936, score=0.844380 - 1.6s
[CV] c1=0.05028906165720029, c2=0.013800616937860201 .................
[CV] c1=0.05028906165720029, c2=0.013800616937860201, score=0.970312 - 1.6s
[CV] c1=0.5285059753801489, c2=0.17454057484817095 ...................
[CV] c1=0.5285059753801489, c2=0.17454057484817095, score=0.816050 - 1.7s
[CV] c1=0.17464871789378875, c2=0.02917298523437019 ..................
[CV] c1=0.17464871789378875, c2=0.02917298523437019, score=0.845585 - 1.7s
[CV] c1=0.6046210421342428, c2=0.0018704346879680148 .................
[CV] c1=0.6046210421342428, c2=0.0018704346879680148, score=0.926953 - 1.5s
[CV] c1=0.6179009466337114, c2=0.002181514835708188 ..................
[CV] c1=0.6179009466337114, c2=0.002181514835708188, score=0.818277 - 1.5s
[CV] c1=0.2638023230321177, c2=0.06792066436605755 ...................
[CV] c1=0.2638023230321177, c2=0.06792066436605755, score=0.923280 - 1.4s
[CV] c1=0.053206938300665814, c2=0.06273821586246515 .................
[CV] c1=0.053206938300665814, c2=0.06273821586246515, score=0.833612 - 1.3s
[CV] c1=0.20274690845600402, c2=0.008070114065065028 .................
[CV] c1=0.20274690845600402, c2=0.008070114065065028, score=0.822589 - 1.1s
[CV] c1=0.1347820786765342, c2=0.008758562663578821 ..................
[CV] c1=0.1347820786765342, c2=0.008758562663578821, score=0.953924 - 1.6s
[CV] c1=0.2155834479911622, c2=0.0029264776464499433 .................
[CV] c1=0.2155834479911622, c2=0.0029264776464499433, score=0.902555 - 1.5s
[CV] c1=0.09166192910141026, c2=0.048811515969856084 .................
[CV] c1=0.09166192910141026, c2=0.048811515969856084, score=0.949229 - 1.6s
[CV] c1=0.06867876942163108, c2=0.08629637297136883 ..................
[CV] c1=0.06867876942163108, c2=0.08629637297136883, score=0.764655 - 1.6s
[CV] c1=0.03417136005039346, c2=0.03921705909174841 ..................
[CV] c1=0.03417136005039346, c2=0.03921705909174841, score=0.903957 - 1.7s
[CV] c1=0.1347820786765342, c2=0.008758562663578821 ..................
[CV] c1=0.1347820786765342, c2=0.008758562663578821, score=0.818687 - 1.5s
[CV] c1=0.020629021419747984, c2=0.09674171855208936 .................
[CV] c1=0.020629021419747984, c2=0.09674171855208936, score=0.923750 - 1.5s
[CV] c1=0.09166192910141026, c2=0.048811515969856084 .................
[CV] c1=0.09166192910141026, c2=0.048811515969856084, score=0.892091 - 1.8s
[CV] c1=0.06867876942163108, c2=0.08629637297136883 ..................
[CV] c1=0.06867876942163108, c2=0.08629637297136883, score=0.903957 - 1.7s
[CV] c1=0.03417136005039346, c2=0.03921705909174841 ..................
[CV] c1=0.03417136005039346, c2=0.03921705909174841, score=0.769157 - 1.6s
[CV] c1=1.2268317662906305, c2=0.06470746530660952 ...................
[CV] c1=1.2268317662906305, c2=0.06470746530660952, score=0.917705 - 1.6s
[CV] c1=0.2155834479911622, c2=0.0029264776464499433 .................
[CV] c1=0.2155834479911622, c2=0.0029264776464499433, score=0.866333 - 1.6s
[CV] c1=0.09166192910141026, c2=0.048811515969856084 .................
[CV] c1=0.09166192910141026, c2=0.048811515969856084, score=0.815575 - 1.8s
[CV] c1=0.06867876942163108, c2=0.08629637297136883 ..................
[CV] c1=0.06867876942163108, c2=0.08629637297136883, score=0.866245 - 1.5s
[CV] c1=0.03417136005039346, c2=0.03921705909174841 ..................
[CV] c1=0.03417136005039346, c2=0.03921705909174841, score=0.830232 - 1.5s
[CV] c1=1.2268317662906305, c2=0.06470746530660952 ...................
[CV] c1=1.2268317662906305, c2=0.06470746530660952, score=0.807845 - 1.6s
[CV] c1=0.2155834479911622, c2=0.0029264776464499433 .................
[CV] c1=0.2155834479911622, c2=0.0029264776464499433, score=0.872561 - 1.6s
[CV] c1=0.09166192910141026, c2=0.048811515969856084 .................
[CV] c1=0.09166192910141026, c2=0.048811515969856084, score=0.764655 - 1.7s
[CV] c1=0.06867876942163108, c2=0.08629637297136883 ..................
[CV] c1=0.06867876942163108, c2=0.08629637297136883, score=0.833612 - 1.7s
[CV] c1=0.03417136005039346, c2=0.03921705909174841 ..................
[CV] c1=0.03417136005039346, c2=0.03921705909174841, score=0.815575 - 1.6s
[CV] c1=1.5850582793740133, c2=0.006031153365809011 ..................
[CV] c1=1.5850582793740133, c2=0.006031153365809011, score=0.818862 - 1.6s
[CV] c1=1.3970723124823137, c2=0.028999715047213288 ..................
[CV] c1=1.3970723124823137, c2=0.028999715047213288, score=0.800809 - 1.5s
[CV] c1=0.4429406944502207, c2=0.2313487870042426 ....................
[CV] c1=0.4429406944502207, c2=0.2313487870042426, score=0.922774 - 1.5s
[CV] c1=0.06867876942163108, c2=0.08629637297136883 ..................
[CV] c1=0.06867876942163108, c2=0.08629637297136883, score=0.923750 - 1.5s
[CV] c1=0.03417136005039346, c2=0.03921705909174841 ..................
[CV] c1=0.03417136005039346, c2=0.03921705909174841, score=0.866245 - 1.2s
[CV] c1=1.2268317662906305, c2=0.06470746530660952 ...................
[CV] c1=1.2268317662906305, c2=0.06470746530660952, score=0.867361 - 1.8s
[CV] c1=1.3970723124823137, c2=0.028999715047213288 ..................
[CV] c1=1.3970723124823137, c2=0.028999715047213288, score=0.709618 - 1.7s
[CV] c1=0.4429406944502207, c2=0.2313487870042426 ....................
[CV] c1=0.4429406944502207, c2=0.2313487870042426, score=0.773844 - 1.7s
[CV] c1=0.43224809416014204, c2=0.15215212736465236 ..................
[CV] c1=0.43224809416014204, c2=0.15215212736465236, score=0.927469 - 1.6s
[CV] c1=0.20274690845600402, c2=0.008070114065065028 .................
[CV] c1=0.20274690845600402, c2=0.008070114065065028, score=0.761612 - 1.3s
[CV] c1=0.1347820786765342, c2=0.008758562663578821 ..................
[CV] c1=0.1347820786765342, c2=0.008758562663578821, score=0.862696 - 1.6s
[CV] c1=0.2155834479911622, c2=0.0029264776464499433 .................
[CV] c1=0.2155834479911622, c2=0.0029264776464499433, score=0.924709 - 1.7s
[CV] c1=0.4429406944502207, c2=0.2313487870042426 ....................
[CV] c1=0.4429406944502207, c2=0.2313487870042426, score=0.820631 - 1.5s
[CV] c1=0.06867876942163108, c2=0.08629637297136883 ..................
[CV] c1=0.06867876942163108, c2=0.08629637297136883, score=0.839590 - 1.7s
[CV] c1=0.03417136005039346, c2=0.03921705909174841 ..................
[CV] c1=0.03417136005039346, c2=0.03921705909174841, score=0.915929 - 1.6s
[CV] c1=0.6046210421342428, c2=0.0018704346879680148 .................
[CV] c1=0.6046210421342428, c2=0.0018704346879680148, score=0.799746 - 1.4s
[CV] c1=1.3970723124823137, c2=0.028999715047213288 ..................
[CV] c1=1.3970723124823137, c2=0.028999715047213288, score=0.799127 - 1.6s
[CV] c1=0.4429406944502207, c2=0.2313487870042426 ....................
[CV] c1=0.4429406944502207, c2=0.2313487870042426, score=0.852815 - 1.7s
[CV] c1=0.43224809416014204, c2=0.15215212736465236 ..................
[CV] c1=0.43224809416014204, c2=0.15215212736465236, score=0.816050 - 1.7s
[CV] c1=0.20274690845600402, c2=0.008070114065065028 .................
[CV] c1=0.20274690845600402, c2=0.008070114065065028, score=0.851303 - 1.1s
[CV] c1=1.2268317662906305, c2=0.06470746530660952 ...................
[CV] c1=1.2268317662906305, c2=0.06470746530660952, score=0.562594 - 1.7s
[CV] c1=0.020629021419747984, c2=0.09674171855208936 .................
[CV] c1=0.020629021419747984, c2=0.09674171855208936, score=0.897897 - 1.6s
[CV] c1=0.05028906165720029, c2=0.013800616937860201 .................
[CV] c1=0.05028906165720029, c2=0.013800616937860201, score=0.924709 - 1.8s
[CV] c1=0.06867876942163108, c2=0.08629637297136883 ..................
[CV] c1=0.06867876942163108, c2=0.08629637297136883, score=0.815575 - 1.8s
[CV] c1=0.03417136005039346, c2=0.03921705909174841 ..................
[CV] c1=0.03417136005039346, c2=0.03921705909174841, score=0.855428 - 1.6s
[CV] c1=0.1347820786765342, c2=0.008758562663578821 ..................
[CV] c1=0.1347820786765342, c2=0.008758562663578821, score=0.773844 - 1.6s
[CV] c1=0.2155834479911622, c2=0.0029264776464499433 .................
[CV] c1=0.2155834479911622, c2=0.0029264776464499433, score=0.841687 - 1.6s
[CV] c1=0.09166192910141026, c2=0.048811515969856084 .................
[CV] c1=0.09166192910141026, c2=0.048811515969856084, score=0.970312 - 1.7s
[CV] c1=0.06867876942163108, c2=0.08629637297136883 ..................
[CV] c1=0.06867876942163108, c2=0.08629637297136883, score=0.915242 - 1.7s
[CV] c1=0.03417136005039346, c2=0.03921705909174841 ..................
[CV] c1=0.03417136005039346, c2=0.03921705909174841, score=0.923750 - 1.5s
[CV] c1=0.1347820786765342, c2=0.008758562663578821 ..................
[CV] c1=0.1347820786765342, c2=0.008758562663578821, score=0.851303 - 1.6s
[CV] c1=1.3970723124823137, c2=0.028999715047213288 ..................
[CV] c1=1.3970723124823137, c2=0.028999715047213288, score=0.587985 - 1.6s
[CV] c1=0.4429406944502207, c2=0.2313487870042426 ....................
[CV] c1=0.4429406944502207, c2=0.2313487870042426, score=0.820536 - 1.8s
[CV] c1=0.053206938300665814, c2=0.06273821586246515 .................
[CV] c1=0.053206938300665814, c2=0.06273821586246515, score=0.877385 - 1.6s
[CV] c1=0.20274690845600402, c2=0.008070114065065028 .................
[CV] c1=0.20274690845600402, c2=0.008070114065065028, score=0.898395 - 1.4s
[CV] c1=0.6046210421342428, c2=0.0018704346879680148 .................
[CV] c1=0.6046210421342428, c2=0.0018704346879680148, score=0.927469 - 1.4s
[CV] c1=0.6179009466337114, c2=0.002181514835708188 ..................
[CV] c1=0.6179009466337114, c2=0.002181514835708188, score=0.797908 - 1.5s
[CV] c1=0.4429406944502207, c2=0.2313487870042426 ....................
[CV] c1=0.4429406944502207, c2=0.2313487870042426, score=0.936167 - 1.6s
[CV] c1=0.43224809416014204, c2=0.15215212736465236 ..................
[CV] c1=0.43224809416014204, c2=0.15215212736465236, score=0.928824 - 1.7s
[CV] c1=0.7110467839023148, c2=0.008526605224743916 ..................
[CV] c1=0.7110467839023148, c2=0.008526605224743916, score=0.738520 - 1.1s
[CV] c1=1.5850582793740133, c2=0.006031153365809011 ..................
[CV] c1=1.5850582793740133, c2=0.006031153365809011, score=0.789367 - 1.4s
[CV] c1=0.2155834479911622, c2=0.0029264776464499433 .................
[CV] c1=0.2155834479911622, c2=0.0029264776464499433, score=0.922590 - 1.7s
[CV] c1=0.09166192910141026, c2=0.048811515969856084 .................
[CV] c1=0.09166192910141026, c2=0.048811515969856084, score=0.855428 - 1.6s
[CV] c1=0.06867876942163108, c2=0.08629637297136883 ..................
[CV] c1=0.06867876942163108, c2=0.08629637297136883, score=0.849711 - 1.7s
[CV] c1=0.20274690845600402, c2=0.008070114065065028 .................
[CV] c1=0.20274690845600402, c2=0.008070114065065028, score=0.944383 - 1.5s
[CV] c1=0.1347820786765342, c2=0.008758562663578821 ..................
[CV] c1=0.1347820786765342, c2=0.008758562663578821, score=0.937833 - 1.7s
[CV] c1=0.2155834479911622, c2=0.0029264776464499433 .................
[CV] c1=0.2155834479911622, c2=0.0029264776464499433, score=0.851303 - 1.7s
[CV] c1=0.09166192910141026, c2=0.048811515969856084 .................
[CV] c1=0.09166192910141026, c2=0.048811515969856084, score=0.923750 - 1.7s
[CV] c1=0.43224809416014204, c2=0.15215212736465236 ..................
[CV] c1=0.43224809416014204, c2=0.15215212736465236, score=0.773844 - 1.7s
[CV] c1=0.20274690845600402, c2=0.008070114065065028 .................
[CV] c1=0.20274690845600402, c2=0.008070114065065028, score=0.953924 - 1.4s
[CV] c1=0.6046210421342428, c2=0.0018704346879680148 .................
[CV] c1=0.6046210421342428, c2=0.0018704346879680148, score=0.818277 - 1.5s
[CV] c1=0.6179009466337114, c2=0.002181514835708188 ..................
[CV] c1=0.6179009466337114, c2=0.002181514835708188, score=0.835700 - 1.9s
[CV] c1=0.2638023230321177, c2=0.06792066436605755 ...................
[CV] c1=0.2638023230321177, c2=0.06792066436605755, score=0.901386 - 1.4s
[CV] c1=0.053206938300665814, c2=0.06273821586246515 .................
[CV] c1=0.053206938300665814, c2=0.06273821586246515, score=0.815575 - 1.6s
[CV] c1=0.7110467839023148, c2=0.008526605224743916 ..................
[CV] c1=0.7110467839023148, c2=0.008526605224743916, score=0.829464 - 1.2s
[CV] c1=1.5850582793740133, c2=0.006031153365809011 ..................
[CV] c1=1.5850582793740133, c2=0.006031153365809011, score=0.903755 - 1.6s
[CV] c1=1.3970723124823137, c2=0.028999715047213288 ..................
[CV] c1=1.3970723124823137, c2=0.028999715047213288, score=0.917705 - 1.6s
[CV] c1=0.2638023230321177, c2=0.06792066436605755 ...................
[CV] c1=0.2638023230321177, c2=0.06792066436605755, score=0.834806 - 1.5s
[CV] c1=0.43224809416014204, c2=0.15215212736465236 ..................
[CV] c1=0.43224809416014204, c2=0.15215212736465236, score=0.950725 - 1.7s
[CV] c1=0.20274690845600402, c2=0.008070114065065028 .................
[CV] c1=0.20274690845600402, c2=0.008070114065065028, score=0.796213 - 1.4s
[CV] c1=0.1347820786765342, c2=0.008758562663578821 ..................
[CV] c1=0.1347820786765342, c2=0.008758562663578821, score=0.833433 - 1.6s
[CV] c1=1.3970723124823137, c2=0.028999715047213288 ..................
[CV] c1=1.3970723124823137, c2=0.028999715047213288, score=0.718389 - 1.5s
[CV] c1=0.09166192910141026, c2=0.048811515969856084 .................
[CV] c1=0.09166192910141026, c2=0.048811515969856084, score=0.902555 - 1.7s
[CV] c1=0.43224809416014204, c2=0.15215212736465236 ..................
[CV] c1=0.43224809416014204, c2=0.15215212736465236, score=0.825277 - 1.9s
[CV] c1=0.20274690845600402, c2=0.008070114065065028 .................
[CV] c1=0.20274690845600402, c2=0.008070114065065028, score=0.956017 - 1.5s
[CV] c1=1.5850582793740133, c2=0.006031153365809011 ..................
[CV] c1=1.5850582793740133, c2=0.006031153365809011, score=0.814586 - 1.5s
[CV] c1=1.3970723124823137, c2=0.028999715047213288 ..................
[CV] c1=1.3970723124823137, c2=0.028999715047213288, score=0.830981 - 1.6s
[CV] c1=0.4429406944502207, c2=0.2313487870042426 ....................
[CV] c1=0.4429406944502207, c2=0.2313487870042426, score=0.857375 - 1.6s
[CV] c1=0.43224809416014204, c2=0.15215212736465236 ..................
[CV] c1=0.43224809416014204, c2=0.15215212736465236, score=0.820536 - 1.7s
[CV] c1=0.20274690845600402, c2=0.008070114065065028 .................
[CV] c1=0.20274690845600402, c2=0.008070114065065028, score=0.834585 - 1.6s
[CV] c1=1.5850582793740133, c2=0.006031153365809011 ..................
[CV] c1=1.5850582793740133, c2=0.006031153365809011, score=0.714999 - 1.2s
[CV] c1=0.020629021419747984, c2=0.09674171855208936 .................
[CV] c1=0.020629021419747984, c2=0.09674171855208936, score=0.896825 - 1.4s
[CV] c1=0.05028906165720029, c2=0.013800616937860201 .................
[CV] c1=0.05028906165720029, c2=0.013800616937860201, score=0.825397 - 1.6s
[CV] c1=0.5285059753801489, c2=0.17454057484817095 ...................
[CV] c1=0.5285059753801489, c2=0.17454057484817095, score=0.820536 - 1.5s
[CV] c1=0.17464871789378875, c2=0.02917298523437019 ..................
[CV] c1=0.17464871789378875, c2=0.02917298523437019, score=0.828677 - 1.4s
[CV] c1=0.7110467839023148, c2=0.008526605224743916 ..................
[CV] c1=0.7110467839023148, c2=0.008526605224743916, score=0.900788 - 1.1s
[CV] c1=0.6046210421342428, c2=0.0018704346879680148 .................
[CV] c1=0.6046210421342428, c2=0.0018704346879680148, score=0.772182 - 1.7s
[CV] c1=0.6179009466337114, c2=0.002181514835708188 ..................
[CV] c1=0.6179009466337114, c2=0.002181514835708188, score=0.753726 - 1.6s
[CV] c1=0.2638023230321177, c2=0.06792066436605755 ...................
[CV] c1=0.2638023230321177, c2=0.06792066436605755, score=0.764655 - 1.7s
[CV] c1=0.053206938300665814, c2=0.06273821586246515 .................
[CV] c1=0.053206938300665814, c2=0.06273821586246515, score=0.923280 - 1.5s
[CV] c1=0.7110467839023148, c2=0.008526605224743916 ..................
[CV] c1=0.7110467839023148, c2=0.008526605224743916, score=0.792455 - 1.3s
[CV] c1=0.6046210421342428, c2=0.0018704346879680148 .................
[CV] c1=0.6046210421342428, c2=0.0018704346879680148, score=0.738520 - 1.6s
[CV] c1=0.6179009466337114, c2=0.002181514835708188 ..................
[CV] c1=0.6179009466337114, c2=0.002181514835708188, score=0.927469 - 1.5s
[CV] c1=0.4429406944502207, c2=0.2313487870042426 ....................
[CV] c1=0.4429406944502207, c2=0.2313487870042426, score=0.816050 - 1.6s
[CV] c1=0.43224809416014204, c2=0.15215212736465236 ..................
[CV] c1=0.43224809416014204, c2=0.15215212736465236, score=0.870928 - 1.8s
[CV] c1=0.20274690845600402, c2=0.008070114065065028 .................
[CV] c1=0.20274690845600402, c2=0.008070114065065028, score=0.929580 - 1.4s
[CV] c1=1.5850582793740133, c2=0.006031153365809011 ..................
[CV] c1=1.5850582793740133, c2=0.006031153365809011, score=0.848984 - 1.6s
[CV] c1=1.3970723124823137, c2=0.028999715047213288 ..................
[CV] c1=1.3970723124823137, c2=0.028999715047213288, score=0.867361 - 1.7s
[CV] c1=0.2638023230321177, c2=0.06792066436605755 ...................
[CV] c1=0.2638023230321177, c2=0.06792066436605755, score=0.840134 - 1.7s
[CV] c1=0.053206938300665814, c2=0.06273821586246515 .................
[CV] c1=0.053206938300665814, c2=0.06273821586246515, score=0.764655 - 1.7s
[CV] c1=0.7110467839023148, c2=0.008526605224743916 ..................
[CV] c1=0.7110467839023148, c2=0.008526605224743916, score=0.927469 - 1.2s
[CV] c1=0.1347820786765342, c2=0.008758562663578821 ..................
[CV] c1=0.1347820786765342, c2=0.008758562663578821, score=0.956704 - 1.7s
[CV] c1=1.3970723124823137, c2=0.028999715047213288 ..................
[CV] c1=1.3970723124823137, c2=0.028999715047213288, score=0.793425 - 1.6s
[CV] c1=0.4429406944502207, c2=0.2313487870042426 ....................
[CV] c1=0.4429406944502207, c2=0.2313487870042426, score=0.936979 - 1.7s
[CV] c1=0.43224809416014204, c2=0.15215212736465236 ..................
[CV] c1=0.43224809416014204, c2=0.15215212736465236, score=0.868815 - 1.7s
[CV] c1=0.7110467839023148, c2=0.008526605224743916 ..................
[CV] c1=0.7110467839023148, c2=0.008526605224743916, score=0.789891 - 1.4s
[CV] c1=1.2268317662906305, c2=0.06470746530660952 ...................
[CV] c1=1.2268317662906305, c2=0.06470746530660952, score=0.807541 - 1.0s
[CV] c1=0.020629021419747984, c2=0.09674171855208936 .................
[CV] c1=0.020629021419747984, c2=0.09674171855208936, score=0.856062 - 1.4s
[CV] c1=0.6179009466337114, c2=0.002181514835708188 ..................
[CV] c1=0.6179009466337114, c2=0.002181514835708188, score=0.816050 - 1.9s
[CV] c1=0.5285059753801489, c2=0.17454057484817095 ...................
[CV] c1=0.5285059753801489, c2=0.17454057484817095, score=0.773844 - 1.6s
[CV] c1=0.17464871789378875, c2=0.02917298523437019 ..................
[CV] c1=0.17464871789378875, c2=0.02917298523437019, score=0.953924 - 1.5s
[CV] c1=0.7110467839023148, c2=0.008526605224743916 ..................
[CV] c1=0.7110467839023148, c2=0.008526605224743916, score=0.926953 - 1.0s
[CV] c1=0.6046210421342428, c2=0.0018704346879680148 .................
[CV] c1=0.6046210421342428, c2=0.0018704346879680148, score=0.829464 - 1.6s
[CV] c1=0.6179009466337114, c2=0.002181514835708188 ..................
[CV] c1=0.6179009466337114, c2=0.002181514835708188, score=0.900788 - 1.7s
[CV] c1=0.2638023230321177, c2=0.06792066436605755 ...................
[CV] c1=0.2638023230321177, c2=0.06792066436605755, score=0.851163 - 1.7s
[CV] c1=0.053206938300665814, c2=0.06273821586246515 .................
[CV] c1=0.053206938300665814, c2=0.06273821586246515, score=0.866245 - 1.6s
[CV] c1=0.7110467839023148, c2=0.008526605224743916 ..................
[CV] c1=0.7110467839023148, c2=0.008526605224743916, score=0.817461 - 1.3s
Training done in: 10.755133s
Saving training model...
Saving training model done in: 0.015111s
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Prediction done in: 0.045793s