Run5_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 False
Report file: _v2
Exclude symbols: False
-------------------------------- PROCESSING --------------------------------
Reading corpus...
Sentences training data: 283
Sentences test data: 122
Reading corpus done in: 0.003701s
-------------------------------- FEATURES --------------------------------
--------------------------Features Training ---------------------------
0 1
0 lemma 1
1 postag CD
2 -1:lemma pq
3 -1:postag NN
4 -2:lemma δsoxs
5 -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 -2:lemma affyexp
7 -2:postag JJ
8 +2:lemma glucose
9 +2:postag NN
Fitting 10 folds for each of 20 candidates, totalling 200 fits
[CV] c1=0.14009357256950483, c2=0.009314873469817363 .................
[CV] c1=0.14009357256950483, c2=0.009314873469817363, score=0.765174 - 1.3s
[CV] c1=0.5652943015138516, c2=0.0037589652831553928 .................
[CV] c1=0.5652943015138516, c2=0.0037589652831553928, score=0.873237 - 1.3s
[CV] c1=0.676799569030537, c2=0.05862110387649719 ....................
[CV] c1=0.676799569030537, c2=0.05862110387649719, score=0.849739 - 1.3s
[CV] c1=0.2644150178675066, c2=0.046160424707653254 ..................
[CV] c1=0.2644150178675066, c2=0.046160424707653254, score=0.850404 - 1.5s
[CV] c1=0.927177018037934, c2=0.023269220013262686 ...................
[CV] c1=0.927177018037934, c2=0.023269220013262686, score=0.825973 - 1.4s
[CV] c1=0.6705921332964635, c2=0.014427642144010306 ..................
[CV] c1=0.6705921332964635, c2=0.014427642144010306, score=0.713945 - 1.5s
[CV] c1=0.21956205153360858, c2=0.009541738536313635 .................
[CV] c1=0.21956205153360858, c2=0.009541738536313635, score=0.930099 - 1.4s
[CV] c1=0.2644150178675066, c2=0.046160424707653254 ..................
[CV] c1=0.2644150178675066, c2=0.046160424707653254, score=0.880074 - 1.5s
[CV] c1=0.927177018037934, c2=0.023269220013262686 ...................
[CV] c1=0.927177018037934, c2=0.023269220013262686, score=0.602692 - 1.2s
[CV] c1=1.439077844699842, c2=0.02774426387487829 ....................
[CV] c1=1.439077844699842, c2=0.02774426387487829, score=0.741134 - 1.3s
[CV] c1=0.3918550763541644, c2=0.0010997783061468906 .................
[CV] c1=0.3918550763541644, c2=0.0010997783061468906, score=0.814966 - 1.3s
[CV] c1=0.17774701316807118, c2=0.012695982200445625 .................
[CV] c1=0.17774701316807118, c2=0.012695982200445625, score=0.846366 - 1.3s
[CV] c1=0.10611954839898095, c2=0.006346156532999689 .................
[CV] c1=0.10611954839898095, c2=0.006346156532999689, score=0.946893 - 1.3s
[CV] c1=0.7356533023470947, c2=0.0013731489455130663 .................
[CV] c1=0.7356533023470947, c2=0.0013731489455130663, score=0.713945 - 1.2s
[CV] c1=1.439077844699842, c2=0.02774426387487829 ....................
[CV] c1=1.439077844699842, c2=0.02774426387487829, score=0.817898 - 1.5s
[CV] c1=0.3918550763541644, c2=0.0010997783061468906 .................
[CV] c1=0.3918550763541644, c2=0.0010997783061468906, score=0.783004 - 1.3s
[CV] c1=0.17774701316807118, c2=0.012695982200445625 .................
[CV] c1=0.17774701316807118, c2=0.012695982200445625, score=0.883871 - 1.5s
[CV] c1=0.10611954839898095, c2=0.006346156532999689 .................
[CV] c1=0.10611954839898095, c2=0.006346156532999689, score=0.617261 - 1.2s
[CV] c1=0.7356533023470947, c2=0.0013731489455130663 .................
[CV] c1=0.7356533023470947, c2=0.0013731489455130663, score=0.580603 - 0.9s
[CV] c1=1.439077844699842, c2=0.02774426387487829 ....................
[CV] c1=1.439077844699842, c2=0.02774426387487829, score=0.705309 - 1.5s
[CV] c1=0.3918550763541644, c2=0.0010997783061468906 .................
[CV] c1=0.3918550763541644, c2=0.0010997783061468906, score=0.878755 - 1.4s
[CV] c1=0.17774701316807118, c2=0.012695982200445625 .................
[CV] c1=0.17774701316807118, c2=0.012695982200445625, score=0.764892 - 1.3s
[CV] c1=0.10611954839898095, c2=0.006346156532999689 .................
[CV] c1=0.10611954839898095, c2=0.006346156532999689, score=0.883871 - 1.3s
[CV] c1=0.7356533023470947, c2=0.0013731489455130663 .................
[CV] c1=0.7356533023470947, c2=0.0013731489455130663, score=0.873237 - 1.2s
[CV] c1=1.439077844699842, c2=0.02774426387487829 ....................
[CV] c1=1.439077844699842, c2=0.02774426387487829, score=0.721789 - 1.2s
[CV] c1=0.3918550763541644, c2=0.0010997783061468906 .................
[CV] c1=0.3918550763541644, c2=0.0010997783061468906, score=0.860074 - 1.3s
[CV] c1=0.17774701316807118, c2=0.012695982200445625 .................
[CV] c1=0.17774701316807118, c2=0.012695982200445625, score=0.880669 - 1.4s
[CV] c1=0.10611954839898095, c2=0.006346156532999689 .................
[CV] c1=0.10611954839898095, c2=0.006346156532999689, score=0.855756 - 1.4s
[CV] c1=0.927177018037934, c2=0.023269220013262686 ...................
[CV] c1=0.927177018037934, c2=0.023269220013262686, score=0.588336 - 1.1s
[CV] c1=0.061878622473100685, c2=0.008830927560874847 ................
[CV] c1=0.061878622473100685, c2=0.008830927560874847, score=0.755640 - 1.3s
[CV] c1=0.3918550763541644, c2=0.0010997783061468906 .................
[CV] c1=0.3918550763541644, c2=0.0010997783061468906, score=0.643984 - 1.2s
[CV] c1=0.17774701316807118, c2=0.012695982200445625 .................
[CV] c1=0.17774701316807118, c2=0.012695982200445625, score=0.763666 - 1.3s
[CV] c1=0.10611954839898095, c2=0.006346156532999689 .................
[CV] c1=0.10611954839898095, c2=0.006346156532999689, score=0.846366 - 1.3s
[CV] c1=0.7356533023470947, c2=0.0013731489455130663 .................
[CV] c1=0.7356533023470947, c2=0.0013731489455130663, score=0.755267 - 1.3s
[CV] c1=1.439077844699842, c2=0.02774426387487829 ....................
[CV] c1=1.439077844699842, c2=0.02774426387487829, score=0.673745 - 1.3s
[CV] c1=0.3918550763541644, c2=0.0010997783061468906 .................
[CV] c1=0.3918550763541644, c2=0.0010997783061468906, score=0.922694 - 1.3s
[CV] c1=0.17774701316807118, c2=0.012695982200445625 .................
[CV] c1=0.17774701316807118, c2=0.012695982200445625, score=0.673261 - 1.2s
[CV] c1=0.10611954839898095, c2=0.006346156532999689 .................
[CV] c1=0.10611954839898095, c2=0.006346156532999689, score=0.875886 - 1.4s
[CV] c1=0.48638772360527766, c2=0.06914443790613625 ..................
[CV] c1=0.48638772360527766, c2=0.06914443790613625, score=0.613486 - 1.3s
[CV] c1=0.061878622473100685, c2=0.008830927560874847 ................
[CV] c1=0.061878622473100685, c2=0.008830927560874847, score=0.624447 - 1.0s
[CV] c1=0.3918550763541644, c2=0.0010997783061468906 .................
[CV] c1=0.3918550763541644, c2=0.0010997783061468906, score=0.737002 - 1.3s
[CV] c1=0.17774701316807118, c2=0.012695982200445625 .................
[CV] c1=0.17774701316807118, c2=0.012695982200445625, score=0.930099 - 1.3s
[CV] c1=0.10611954839898095, c2=0.006346156532999689 .................
[CV] c1=0.10611954839898095, c2=0.006346156532999689, score=0.807783 - 1.4s
[CV] c1=0.48638772360527766, c2=0.06914443790613625 ..................
[CV] c1=0.48638772360527766, c2=0.06914443790613625, score=0.577291 - 1.0s
[CV] c1=0.061878622473100685, c2=0.008830927560874847 ................
[CV] c1=0.061878622473100685, c2=0.008830927560874847, score=0.807783 - 1.3s
[CV] c1=0.12334803790775734, c2=0.016826815569305428 .................
[CV] c1=0.12334803790775734, c2=0.016826815569305428, score=0.855756 - 1.2s
[CV] c1=1.0784241377074688, c2=0.041059790429751976 ..................
[CV] c1=1.0784241377074688, c2=0.041059790429751976, score=0.716841 - 1.4s
[CV] c1=0.7489529455784063, c2=0.07012128593942421 ...................
[CV] c1=0.7489529455784063, c2=0.07012128593942421, score=0.602692 - 1.3s
[CV] c1=0.48638772360527766, c2=0.06914443790613625 ..................
[CV] c1=0.48638772360527766, c2=0.06914443790613625, score=0.770157 - 1.3s
[CV] c1=0.6705921332964635, c2=0.014427642144010306 ..................
[CV] c1=0.6705921332964635, c2=0.014427642144010306, score=0.828868 - 1.3s
[CV] c1=0.21956205153360858, c2=0.009541738536313635 .................
[CV] c1=0.21956205153360858, c2=0.009541738536313635, score=0.895825 - 1.3s
[CV] c1=0.6555816084765733, c2=0.022533357743075463 ..................
[CV] c1=0.6555816084765733, c2=0.022533357743075463, score=0.602057 - 1.2s
[CV] c1=0.7489529455784063, c2=0.07012128593942421 ...................
[CV] c1=0.7489529455784063, c2=0.07012128593942421, score=0.581839 - 1.0s
[CV] c1=0.7356533023470947, c2=0.0013731489455130663 .................
[CV] c1=0.7356533023470947, c2=0.0013731489455130663, score=0.906931 - 1.2s
[CV] c1=1.439077844699842, c2=0.02774426387487829 ....................
[CV] c1=1.439077844699842, c2=0.02774426387487829, score=0.886235 - 1.3s
[CV] c1=0.12334803790775734, c2=0.016826815569305428 .................
[CV] c1=0.12334803790775734, c2=0.016826815569305428, score=0.774690 - 1.4s
[CV] c1=1.0784241377074688, c2=0.041059790429751976 ..................
[CV] c1=1.0784241377074688, c2=0.041059790429751976, score=0.602692 - 1.3s
[CV] c1=0.7489529455784063, c2=0.07012128593942421 ...................
[CV] c1=0.7489529455784063, c2=0.07012128593942421, score=0.707931 - 1.3s
[CV] c1=0.927177018037934, c2=0.023269220013262686 ...................
[CV] c1=0.927177018037934, c2=0.023269220013262686, score=0.749874 - 1.2s
[CV] c1=0.061878622473100685, c2=0.008830927560874847 ................
[CV] c1=0.061878622473100685, c2=0.008830927560874847, score=0.877596 - 1.3s
[CV] c1=0.12334803790775734, c2=0.016826815569305428 .................
[CV] c1=0.12334803790775734, c2=0.016826815569305428, score=0.776342 - 1.4s
[CV] c1=1.0784241377074688, c2=0.041059790429751976 ..................
[CV] c1=1.0784241377074688, c2=0.041059790429751976, score=0.753602 - 1.3s
[CV] c1=0.7489529455784063, c2=0.07012128593942421 ...................
[CV] c1=0.7489529455784063, c2=0.07012128593942421, score=0.762084 - 1.1s
[CV] c1=0.927177018037934, c2=0.023269220013262686 ...................
[CV] c1=0.927177018037934, c2=0.023269220013262686, score=0.762084 - 1.1s
[CV] c1=0.061878622473100685, c2=0.008830927560874847 ................
[CV] c1=0.061878622473100685, c2=0.008830927560874847, score=0.853062 - 1.3s
[CV] c1=0.12334803790775734, c2=0.016826815569305428 .................
[CV] c1=0.12334803790775734, c2=0.016826815569305428, score=0.853062 - 1.2s
[CV] c1=1.0784241377074688, c2=0.041059790429751976 ..................
[CV] c1=1.0784241377074688, c2=0.041059790429751976, score=0.823922 - 1.4s
[CV] c1=0.7489529455784063, c2=0.07012128593942421 ...................
[CV] c1=0.7489529455784063, c2=0.07012128593942421, score=0.708142 - 1.2s
[CV] c1=0.927177018037934, c2=0.023269220013262686 ...................
[CV] c1=0.927177018037934, c2=0.023269220013262686, score=0.719686 - 1.1s
[CV] c1=0.061878622473100685, c2=0.008830927560874847 ................
[CV] c1=0.061878622473100685, c2=0.008830927560874847, score=0.620310 - 1.4s
[CV] c1=0.12334803790775734, c2=0.016826815569305428 .................
[CV] c1=0.12334803790775734, c2=0.016826815569305428, score=0.872221 - 1.3s
[CV] c1=1.0784241377074688, c2=0.041059790429751976 ..................
[CV] c1=1.0784241377074688, c2=0.041059790429751976, score=0.777713 - 1.3s
[CV] c1=0.7489529455784063, c2=0.07012128593942421 ...................
[CV] c1=0.7489529455784063, c2=0.07012128593942421, score=0.796745 - 1.3s
[CV] c1=0.48638772360527766, c2=0.06914443790613625 ..................
[CV] c1=0.48638772360527766, c2=0.06914443790613625, score=0.862660 - 1.4s
[CV] c1=0.6705921332964635, c2=0.014427642144010306 ..................
[CV] c1=0.6705921332964635, c2=0.014427642144010306, score=0.578525 - 1.1s
[CV] c1=0.21956205153360858, c2=0.009541738536313635 .................
[CV] c1=0.21956205153360858, c2=0.009541738536313635, score=0.859836 - 1.2s
[CV] c1=1.0784241377074688, c2=0.041059790429751976 ..................
[CV] c1=1.0784241377074688, c2=0.041059790429751976, score=0.571193 - 1.1s
[CV] c1=0.7489529455784063, c2=0.07012128593942421 ...................
[CV] c1=0.7489529455784063, c2=0.07012128593942421, score=0.831348 - 1.3s
[CV] c1=0.7356533023470947, c2=0.0013731489455130663 .................
[CV] c1=0.7356533023470947, c2=0.0013731489455130663, score=0.783286 - 1.2s
[CV] c1=1.439077844699842, c2=0.02774426387487829 ....................
[CV] c1=1.439077844699842, c2=0.02774426387487829, score=0.725747 - 1.5s
[CV] c1=0.12334803790775734, c2=0.016826815569305428 .................
[CV] c1=0.12334803790775734, c2=0.016826815569305428, score=0.635930 - 1.4s
[CV] c1=1.0784241377074688, c2=0.041059790429751976 ..................
[CV] c1=1.0784241377074688, c2=0.041059790429751976, score=0.699809 - 1.3s
[CV] c1=0.7489529455784063, c2=0.07012128593942421 ...................
[CV] c1=0.7489529455784063, c2=0.07012128593942421, score=0.860961 - 1.3s
[CV] c1=0.48638772360527766, c2=0.06914443790613625 ..................
[CV] c1=0.48638772360527766, c2=0.06914443790613625, score=0.824622 - 1.3s
[CV] c1=0.6705921332964635, c2=0.014427642144010306 ..................
[CV] c1=0.6705921332964635, c2=0.014427642144010306, score=0.783286 - 1.3s
[CV] c1=0.21956205153360858, c2=0.009541738536313635 .................
[CV] c1=0.21956205153360858, c2=0.009541738536313635, score=0.883871 - 1.4s
[CV] c1=0.6555816084765733, c2=0.022533357743075463 ..................
[CV] c1=0.6555816084765733, c2=0.022533357743075463, score=0.906931 - 1.3s
[CV] c1=0.5243479435689085, c2=0.020264421529990553 ..................
[CV] c1=0.5243479435689085, c2=0.020264421529990553, score=0.575394 - 0.8s
[CV] c1=0.7356533023470947, c2=0.0013731489455130663 .................
[CV] c1=0.7356533023470947, c2=0.0013731489455130663, score=0.829883 - 1.1s
[CV] c1=1.439077844699842, c2=0.02774426387487829 ....................
[CV] c1=1.439077844699842, c2=0.02774426387487829, score=0.646087 - 1.4s
[CV] c1=0.3918550763541644, c2=0.0010997783061468906 .................
[CV] c1=0.3918550763541644, c2=0.0010997783061468906, score=0.895825 - 1.3s
[CV] c1=0.17774701316807118, c2=0.012695982200445625 .................
[CV] c1=0.17774701316807118, c2=0.012695982200445625, score=0.872221 - 1.4s
[CV] c1=0.10611954839898095, c2=0.006346156532999689 .................
[CV] c1=0.10611954839898095, c2=0.006346156532999689, score=0.764892 - 1.4s
[CV] c1=0.14009357256950483, c2=0.009314873469817363 .................
[CV] c1=0.14009357256950483, c2=0.009314873469817363, score=0.774690 - 1.4s
[CV] c1=0.5652943015138516, c2=0.0037589652831553928 .................
[CV] c1=0.5652943015138516, c2=0.0037589652831553928, score=0.631124 - 1.2s
[CV] c1=0.21956205153360858, c2=0.009541738536313635 .................
[CV] c1=0.21956205153360858, c2=0.009541738536313635, score=0.646209 - 1.1s
[CV] c1=1.0784241377074688, c2=0.041059790429751976 ..................
[CV] c1=1.0784241377074688, c2=0.041059790429751976, score=0.885756 - 1.2s
[CV] c1=0.7489529455784063, c2=0.07012128593942421 ...................
[CV] c1=0.7489529455784063, c2=0.07012128593942421, score=0.737652 - 1.3s
[CV] c1=0.48638772360527766, c2=0.06914443790613625 ..................
[CV] c1=0.48638772360527766, c2=0.06914443790613625, score=0.868690 - 1.5s
[CV] c1=0.6705921332964635, c2=0.014427642144010306 ..................
[CV] c1=0.6705921332964635, c2=0.014427642144010306, score=0.922694 - 1.2s
[CV] c1=0.21956205153360858, c2=0.009541738536313635 .................
[CV] c1=0.21956205153360858, c2=0.009541738536313635, score=0.737002 - 1.4s
[CV] c1=0.6555816084765733, c2=0.022533357743075463 ..................
[CV] c1=0.6555816084765733, c2=0.022533357743075463, score=0.721610 - 1.3s
[CV] c1=0.5243479435689085, c2=0.020264421529990553 ..................
[CV] c1=0.5243479435689085, c2=0.020264421529990553, score=0.845960 - 1.1s
[CV] c1=0.14009357256950483, c2=0.009314873469817363 .................
[CV] c1=0.14009357256950483, c2=0.009314873469817363, score=0.930099 - 1.6s
[CV] c1=0.3918550763541644, c2=0.0010997783061468906 .................
[CV] c1=0.3918550763541644, c2=0.0010997783061468906, score=0.755640 - 1.4s
[CV] c1=0.17774701316807118, c2=0.012695982200445625 .................
[CV] c1=0.17774701316807118, c2=0.012695982200445625, score=0.635930 - 1.2s
[CV] c1=0.10611954839898095, c2=0.006346156532999689 .................
[CV] c1=0.10611954839898095, c2=0.006346156532999689, score=0.799365 - 1.3s
[CV] c1=0.7156254494091757, c2=0.04252905244564888 ...................
[CV] c1=0.7156254494091757, c2=0.04252905244564888, score=0.586852 - 0.8s
[CV] c1=0.48638772360527766, c2=0.06914443790613625 ..................
[CV] c1=0.48638772360527766, c2=0.06914443790613625, score=0.718403 - 1.3s
[CV] c1=0.6705921332964635, c2=0.014427642144010306 ..................
[CV] c1=0.6705921332964635, c2=0.014427642144010306, score=0.631124 - 1.2s
[CV] c1=0.12334803790775734, c2=0.016826815569305428 .................
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[CV] c1=0.6555816084765733, c2=0.022533357743075463 ..................
[CV] c1=0.6555816084765733, c2=0.022533357743075463, score=0.854651 - 1.4s
[CV] c1=0.5243479435689085, c2=0.020264421529990553 ..................
[CV] c1=0.5243479435689085, c2=0.020264421529990553, score=0.775826 - 1.1s
[CV] c1=0.14009357256950483, c2=0.009314873469817363 .................
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[CV] c1=0.5652943015138516, c2=0.0037589652831553928 .................
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[CV] c1=0.676799569030537, c2=0.05862110387649719 ....................
[CV] c1=0.676799569030537, c2=0.05862110387649719, score=0.769500 - 1.2s
[CV] c1=0.2644150178675066, c2=0.046160424707653254 ..................
[CV] c1=0.2644150178675066, c2=0.046160424707653254, score=0.635254 - 1.3s
[CV] c1=0.7156254494091757, c2=0.04252905244564888 ...................
[CV] c1=0.7156254494091757, c2=0.04252905244564888, score=0.707931 - 1.0s
[CV] c1=0.7356533023470947, c2=0.0013731489455130663 .................
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[CV] c1=0.061878622473100685, c2=0.008830927560874847 ................
[CV] c1=0.061878622473100685, c2=0.008830927560874847, score=0.855731 - 1.4s
[CV] c1=0.12334803790775734, c2=0.016826815569305428 .................
[CV] c1=0.12334803790775734, c2=0.016826815569305428, score=0.763666 - 1.4s
[CV] c1=1.0784241377074688, c2=0.041059790429751976 ..................
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[CV] c1=0.5243479435689085, c2=0.020264421529990553 ..................
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[CV] c1=0.48638772360527766, c2=0.06914443790613625 ..................
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[CV] c1=0.6705921332964635, c2=0.014427642144010306 ..................
[CV] c1=0.6705921332964635, c2=0.014427642144010306, score=0.833643 - 1.2s
[CV] c1=0.21956205153360858, c2=0.009541738536313635 .................
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[CV] c1=0.6555816084765733, c2=0.022533357743075463 ..................
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[CV] c1=0.5243479435689085, c2=0.020264421529990553 ..................
[CV] c1=0.5243479435689085, c2=0.020264421529990553, score=0.847660 - 1.2s
[CV] c1=0.7356533023470947, c2=0.0013731489455130663 .................
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[CV] c1=0.061878622473100685, c2=0.008830927560874847 ................
[CV] c1=0.061878622473100685, c2=0.008830927560874847, score=0.939073 - 1.3s
[CV] c1=0.21956205153360858, c2=0.009541738536313635 .................
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[CV] c1=0.6555816084765733, c2=0.022533357743075463 ..................
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[CV] c1=0.5243479435689085, c2=0.020264421529990553 ..................
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[CV] c1=0.14009357256950483, c2=0.009314873469817363 .................
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[CV] c1=0.5652943015138516, c2=0.0037589652831553928 .................
[CV] c1=0.5652943015138516, c2=0.0037589652831553928, score=0.783004 - 1.4s
[CV] c1=0.676799569030537, c2=0.05862110387649719 ....................
[CV] c1=0.676799569030537, c2=0.05862110387649719, score=0.922694 - 1.3s
[CV] c1=0.2644150178675066, c2=0.046160424707653254 ..................
[CV] c1=0.2644150178675066, c2=0.046160424707653254, score=0.930099 - 1.3s
[CV] c1=0.7156254494091757, c2=0.04252905244564888 ...................
[CV] c1=0.7156254494091757, c2=0.04252905244564888, score=0.755991 - 1.0s
[CV] c1=0.48638772360527766, c2=0.06914443790613625 ..................
[CV] c1=0.48638772360527766, c2=0.06914443790613625, score=0.922694 - 1.4s
[CV] c1=0.6705921332964635, c2=0.014427642144010306 ..................
[CV] c1=0.6705921332964635, c2=0.014427642144010306, score=0.711676 - 1.2s
[CV] c1=0.21956205153360858, c2=0.009541738536313635 .................
[CV] c1=0.21956205153360858, c2=0.009541738536313635, score=0.763666 - 1.3s
[CV] c1=0.6555816084765733, c2=0.022533357743075463 ..................
[CV] c1=0.6555816084765733, c2=0.022533357743075463, score=0.783286 - 1.3s
[CV] c1=0.5243479435689085, c2=0.020264421529990553 ..................
[CV] c1=0.5243479435689085, c2=0.020264421529990553, score=0.783004 - 1.2s
[CV] c1=0.14009357256950483, c2=0.009314873469817363 .................
[CV] c1=0.14009357256950483, c2=0.009314873469817363, score=0.883871 - 1.5s
[CV] c1=0.5652943015138516, c2=0.0037589652831553928 .................
[CV] c1=0.5652943015138516, c2=0.0037589652831553928, score=0.737002 - 1.3s
[CV] c1=0.676799569030537, c2=0.05862110387649719 ....................
[CV] c1=0.676799569030537, c2=0.05862110387649719, score=0.737652 - 1.3s
[CV] c1=0.2644150178675066, c2=0.046160424707653254 ..................
[CV] c1=0.2644150178675066, c2=0.046160424707653254, score=0.765174 - 1.2s
[CV] c1=0.7156254494091757, c2=0.04252905244564888 ...................
[CV] c1=0.7156254494091757, c2=0.04252905244564888, score=0.603550 - 1.1s
[CV] c1=0.927177018037934, c2=0.023269220013262686 ...................
[CV] c1=0.927177018037934, c2=0.023269220013262686, score=0.698500 - 1.3s
[CV] c1=0.061878622473100685, c2=0.008830927560874847 ................
[CV] c1=0.061878622473100685, c2=0.008830927560874847, score=0.782739 - 1.3s
[CV] c1=0.12334803790775734, c2=0.016826815569305428 .................
[CV] c1=0.12334803790775734, c2=0.016826815569305428, score=0.883871 - 1.7s
[CV] c1=0.6555816084765733, c2=0.022533357743075463 ..................
[CV] c1=0.6555816084765733, c2=0.022533357743075463, score=0.786546 - 1.4s
[CV] c1=0.5243479435689085, c2=0.020264421529990553 ..................
[CV] c1=0.5243479435689085, c2=0.020264421529990553, score=0.922694 - 1.1s
[CV] c1=0.7356533023470947, c2=0.0013731489455130663 .................
[CV] c1=0.7356533023470947, c2=0.0013731489455130663, score=0.630265 - 1.1s
[CV] c1=1.439077844699842, c2=0.02774426387487829 ....................
[CV] c1=1.439077844699842, c2=0.02774426387487829, score=0.615688 - 1.2s
[CV] c1=0.5652943015138516, c2=0.0037589652831553928 .................
[CV] c1=0.5652943015138516, c2=0.0037589652831553928, score=0.645707 - 1.2s
[CV] c1=0.676799569030537, c2=0.05862110387649719 ....................
[CV] c1=0.676799569030537, c2=0.05862110387649719, score=0.838090 - 1.4s
[CV] c1=0.2644150178675066, c2=0.046160424707653254 ..................
[CV] c1=0.2644150178675066, c2=0.046160424707653254, score=0.657909 - 1.2s
[CV] c1=0.7156254494091757, c2=0.04252905244564888 ...................
[CV] c1=0.7156254494091757, c2=0.04252905244564888, score=0.849052 - 1.0s
[CV] c1=0.48638772360527766, c2=0.06914443790613625 ..................
[CV] c1=0.48638772360527766, c2=0.06914443790613625, score=0.783286 - 1.3s
[CV] c1=0.6705921332964635, c2=0.014427642144010306 ..................
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[CV] c1=0.676799569030537, c2=0.05862110387649719 ....................
[CV] c1=0.676799569030537, c2=0.05862110387649719, score=0.830824 - 1.3s
[CV] c1=0.2644150178675066, c2=0.046160424707653254 ..................
[CV] c1=0.2644150178675066, c2=0.046160424707653254, score=0.878755 - 1.4s
[CV] c1=0.7156254494091757, c2=0.04252905244564888 ...................
[CV] c1=0.7156254494091757, c2=0.04252905244564888, score=0.708142 - 0.9s
[CV] c1=0.927177018037934, c2=0.023269220013262686 ...................
[CV] c1=0.927177018037934, c2=0.023269220013262686, score=0.742392 - 1.6s
[CV] c1=0.6705921332964635, c2=0.014427642144010306 ..................
[CV] c1=0.6705921332964635, c2=0.014427642144010306, score=0.781418 - 1.3s
[CV] c1=0.21956205153360858, c2=0.009541738536313635 .................
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[CV] c1=0.6555816084765733, c2=0.022533357743075463 ..................
[CV] c1=0.6555816084765733, c2=0.022533357743075463, score=0.848575 - 1.3s
[CV] c1=0.5243479435689085, c2=0.020264421529990553 ..................
[CV] c1=0.5243479435689085, c2=0.020264421529990553, score=0.873237 - 1.3s
[CV] c1=0.14009357256950483, c2=0.009314873469817363 .................
[CV] c1=0.14009357256950483, c2=0.009314873469817363, score=0.846366 - 1.3s
[CV] c1=0.5652943015138516, c2=0.0037589652831553928 .................
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[CV] c1=0.676799569030537, c2=0.05862110387649719 ....................
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[CV] c1=0.2644150178675066, c2=0.046160424707653254 ..................
[CV] c1=0.2644150178675066, c2=0.046160424707653254, score=0.832898 - 1.3s
[CV] c1=0.7156254494091757, c2=0.04252905244564888 ...................
[CV] c1=0.7156254494091757, c2=0.04252905244564888, score=0.867483 - 1.1s
[CV] c1=0.927177018037934, c2=0.023269220013262686 ...................
[CV] c1=0.927177018037934, c2=0.023269220013262686, score=0.843338 - 1.2s
[CV] c1=0.061878622473100685, c2=0.008830927560874847 ................
[CV] c1=0.061878622473100685, c2=0.008830927560874847, score=0.883871 - 1.4s
[CV] c1=0.12334803790775734, c2=0.016826815569305428 .................
[CV] c1=0.12334803790775734, c2=0.016826815569305428, score=0.630065 - 1.2s
[CV] c1=1.0784241377074688, c2=0.041059790429751976 ..................
[CV] c1=1.0784241377074688, c2=0.041059790429751976, score=0.730707 - 1.4s
[CV] c1=0.7489529455784063, c2=0.07012128593942421 ...................
[CV] c1=0.7489529455784063, c2=0.07012128593942421, score=0.906931 - 1.3s
[CV] c1=0.14009357256950483, c2=0.009314873469817363 .................
[CV] c1=0.14009357256950483, c2=0.009314873469817363, score=0.636829 - 1.3s
[CV] c1=0.5652943015138516, c2=0.0037589652831553928 .................
[CV] c1=0.5652943015138516, c2=0.0037589652831553928, score=0.747753 - 1.2s
[CV] c1=0.676799569030537, c2=0.05862110387649719 ....................
[CV] c1=0.676799569030537, c2=0.05862110387649719, score=0.707931 - 1.3s
[CV] c1=0.6555816084765733, c2=0.022533357743075463 ..................
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[CV] c1=0.5243479435689085, c2=0.020264421529990553 ..................
[CV] c1=0.5243479435689085, c2=0.020264421529990553, score=0.631124 - 1.1s
[CV] c1=0.927177018037934, c2=0.023269220013262686 ...................
[CV] c1=0.927177018037934, c2=0.023269220013262686, score=0.906931 - 1.1s
[CV] c1=1.439077844699842, c2=0.02774426387487829 ....................
[CV] c1=1.439077844699842, c2=0.02774426387487829, score=0.518811 - 1.1s
[CV] c1=0.3918550763541644, c2=0.0010997783061468906 .................
[CV] c1=0.3918550763541644, c2=0.0010997783061468906, score=0.660872 - 1.2s
[CV] c1=0.676799569030537, c2=0.05862110387649719 ....................
[CV] c1=0.676799569030537, c2=0.05862110387649719, score=0.589040 - 1.2s
[CV] c1=0.2644150178675066, c2=0.046160424707653254 ..................
[CV] c1=0.2644150178675066, c2=0.046160424707653254, score=0.777342 - 1.3s
[CV] c1=0.7156254494091757, c2=0.04252905244564888 ...................
[CV] c1=0.7156254494091757, c2=0.04252905244564888, score=0.841965 - 1.1s
[CV] c1=0.14009357256950483, c2=0.009314873469817363 .................
[CV] c1=0.14009357256950483, c2=0.009314873469817363, score=0.855731 - 1.3s
[CV] c1=0.5652943015138516, c2=0.0037589652831553928 .................
[CV] c1=0.5652943015138516, c2=0.0037589652831553928, score=0.860160 - 1.2s
[CV] c1=0.676799569030537, c2=0.05862110387649719 ....................
[CV] c1=0.676799569030537, c2=0.05862110387649719, score=0.612772 - 1.3s
[CV] c1=0.2644150178675066, c2=0.046160424707653254 ..................
[CV] c1=0.2644150178675066, c2=0.046160424707653254, score=0.770299 - 1.5s
[CV] c1=0.7156254494091757, c2=0.04252905244564888 ...................
[CV] c1=0.7156254494091757, c2=0.04252905244564888, score=0.776162 - 1.0s
Training done in: 8.656537s
Saving training model...
Saving training model done in: 0.013108s
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Prediction done in: 0.028636s