Run3_v2.txt
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-------------------------------- PARAMETERS --------------------------------
Path of training data set: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
File with training data set: training-data-set-70_v4.txt
Path of test data set: /home/egaytan/automatic-extraction-growth-conditions/CRF/data-sets
File with test data set: test-data-set-30_v4.txt
Exclude stop words: False
Levels: False True
Report file: _v2
Exclude symbols: False
-------------------------------- PROCESSING --------------------------------
Reading corpus...
Sentences training data: 283
Sentences test data: 122
Reading corpus done in: 0.003654s
-------------------------------- FEATURES --------------------------------
--------------------------Features Training ---------------------------
0 1
0 lemma 1
1 postag CD
2 -1:lemma pq
3 -1:postag NN
4 word 1
5 isUpper False
6 isLower False
7 isGreek False
8 isNumber True
9 -1:word PQ
--------------------------- FeaturesTest -----------------------------
0 1
0 lemma delta-fnr
1 postag NN
2 -1:lemma _
3 -1:postag NN
4 +1:lemma _
5 +1:postag CD
6 word delta-fnr
7 isUpper False
8 isLower True
9 isGreek False
10 isNumber False
11 -1:word _
12 +1:word _
Fitting 10 folds for each of 20 candidates, totalling 200 fits
[CV] c1=0.15911702521720522, c2=0.046161934701581496 .................
[CV] c1=0.15911702521720522, c2=0.046161934701581496, score=0.630601 - 1.2s
[CV] c1=0.09008322955518538, c2=0.07446232300940821 ..................
[CV] c1=0.09008322955518538, c2=0.07446232300940821, score=0.848001 - 1.6s
[CV] c1=0.25902302075140105, c2=0.03091362551658973 ..................
[CV] c1=0.25902302075140105, c2=0.03091362551658973, score=0.899703 - 1.6s
[CV] c1=0.25483228949461545, c2=0.13089764900278175 ..................
[CV] c1=0.25483228949461545, c2=0.13089764900278175, score=0.742271 - 1.4s
[CV] c1=0.031955518564645284, c2=0.004198138415764393 ................
[CV] c1=0.031955518564645284, c2=0.004198138415764393, score=0.678771 - 1.1s
[CV] c1=0.8685665773754986, c2=0.040475472475883754 ..................
[CV] c1=0.8685665773754986, c2=0.040475472475883754, score=0.719617 - 1.4s
[CV] c1=0.9997736934864921, c2=0.026878803960042243 ..................
[CV] c1=0.9997736934864921, c2=0.026878803960042243, score=0.873584 - 1.5s
[CV] c1=0.07999002423801141, c2=0.000868661924339573 .................
[CV] c1=0.07999002423801141, c2=0.000868661924339573, score=0.690262 - 1.3s
[CV] c1=0.25483228949461545, c2=0.13089764900278175 ..................
[CV] c1=0.25483228949461545, c2=0.13089764900278175, score=0.577546 - 1.2s
[CV] c1=0.18982871503169924, c2=0.046233745555238626 .................
[CV] c1=0.18982871503169924, c2=0.046233745555238626, score=0.719481 - 1.1s
[CV] c1=0.2905084415493135, c2=0.01849397696699137 ...................
[CV] c1=0.2905084415493135, c2=0.01849397696699137, score=0.902737 - 1.6s
[CV] c1=0.9997736934864921, c2=0.026878803960042243 ..................
[CV] c1=0.9997736934864921, c2=0.026878803960042243, score=0.549739 - 1.2s
[CV] c1=0.22692190968141177, c2=0.023819618838019103 .................
[CV] c1=0.22692190968141177, c2=0.023819618838019103, score=0.925743 - 1.5s
[CV] c1=0.25483228949461545, c2=0.13089764900278175 ..................
[CV] c1=0.25483228949461545, c2=0.13089764900278175, score=0.848001 - 1.5s
[CV] c1=0.031955518564645284, c2=0.004198138415764393 ................
[CV] c1=0.031955518564645284, c2=0.004198138415764393, score=0.940286 - 1.4s
[CV] c1=0.6747528619946138, c2=0.07283789541988857 ...................
[CV] c1=0.6747528619946138, c2=0.07283789541988857, score=0.849399 - 1.4s
[CV] c1=0.5665040037123241, c2=0.011962486026690578 ..................
[CV] c1=0.5665040037123241, c2=0.011962486026690578, score=0.887803 - 1.2s
[CV] c1=0.07999002423801141, c2=0.000868661924339573 .................
[CV] c1=0.07999002423801141, c2=0.000868661924339573, score=0.853386 - 1.4s
[CV] c1=1.6511701323120827, c2=0.08558259304928574 ...................
[CV] c1=1.6511701323120827, c2=0.08558259304928574, score=0.632374 - 1.3s
[CV] c1=0.18982871503169924, c2=0.046233745555238626 .................
[CV] c1=0.18982871503169924, c2=0.046233745555238626, score=0.857175 - 1.4s
[CV] c1=0.8685665773754986, c2=0.040475472475883754 ..................
[CV] c1=0.8685665773754986, c2=0.040475472475883754, score=0.863912 - 1.4s
[CV] c1=0.5665040037123241, c2=0.011962486026690578 ..................
[CV] c1=0.5665040037123241, c2=0.011962486026690578, score=0.768974 - 1.3s
[CV] c1=0.07999002423801141, c2=0.000868661924339573 .................
[CV] c1=0.07999002423801141, c2=0.000868661924339573, score=0.938387 - 1.5s
[CV] c1=1.6511701323120827, c2=0.08558259304928574 ...................
[CV] c1=1.6511701323120827, c2=0.08558259304928574, score=0.624854 - 1.3s
[CV] c1=0.18982871503169924, c2=0.046233745555238626 .................
[CV] c1=0.18982871503169924, c2=0.046233745555238626, score=0.721089 - 1.2s
[CV] c1=0.2905084415493135, c2=0.01849397696699137 ...................
[CV] c1=0.2905084415493135, c2=0.01849397696699137, score=0.624196 - 1.2s
[CV] c1=0.9997736934864921, c2=0.026878803960042243 ..................
[CV] c1=0.9997736934864921, c2=0.026878803960042243, score=0.849399 - 1.5s
[CV] c1=0.22692190968141177, c2=0.023819618838019103 .................
[CV] c1=0.22692190968141177, c2=0.023819618838019103, score=0.904833 - 1.7s
[CV] c1=0.25483228949461545, c2=0.13089764900278175 ..................
[CV] c1=0.25483228949461545, c2=0.13089764900278175, score=0.908205 - 1.4s
[CV] c1=0.18982871503169924, c2=0.046233745555238626 .................
[CV] c1=0.18982871503169924, c2=0.046233745555238626, score=0.692991 - 1.3s
[CV] c1=0.8685665773754986, c2=0.040475472475883754 ..................
[CV] c1=0.8685665773754986, c2=0.040475472475883754, score=0.803642 - 1.5s
[CV] c1=0.5665040037123241, c2=0.011962486026690578 ..................
[CV] c1=0.5665040037123241, c2=0.011962486026690578, score=0.680458 - 1.3s
[CV] c1=0.22692190968141177, c2=0.023819618838019103 .................
[CV] c1=0.22692190968141177, c2=0.023819618838019103, score=0.919762 - 1.4s
[CV] c1=0.25483228949461545, c2=0.13089764900278175 ..................
[CV] c1=0.25483228949461545, c2=0.13089764900278175, score=0.703784 - 1.5s
[CV] c1=0.11429489799744622, c2=0.01488578964446575 ..................
[CV] c1=0.11429489799744622, c2=0.01488578964446575, score=0.883871 - 1.0s
[CV] c1=0.2905084415493135, c2=0.01849397696699137 ...................
[CV] c1=0.2905084415493135, c2=0.01849397696699137, score=0.866790 - 1.6s
[CV] c1=0.9997736934864921, c2=0.026878803960042243 ..................
[CV] c1=0.9997736934864921, c2=0.026878803960042243, score=0.871122 - 1.5s
[CV] c1=0.22692190968141177, c2=0.023819618838019103 .................
[CV] c1=0.22692190968141177, c2=0.023819618838019103, score=0.747448 - 1.5s
[CV] c1=0.25483228949461545, c2=0.13089764900278175 ..................
[CV] c1=0.25483228949461545, c2=0.13089764900278175, score=0.757664 - 1.5s
[CV] c1=0.11429489799744622, c2=0.01488578964446575 ..................
[CV] c1=0.11429489799744622, c2=0.01488578964446575, score=0.708356 - 1.4s
[CV] c1=0.8685665773754986, c2=0.040475472475883754 ..................
[CV] c1=0.8685665773754986, c2=0.040475472475883754, score=0.675999 - 1.3s
[CV] c1=0.9997736934864921, c2=0.026878803960042243 ..................
[CV] c1=0.9997736934864921, c2=0.026878803960042243, score=0.927708 - 1.5s
[CV] c1=0.22692190968141177, c2=0.023819618838019103 .................
[CV] c1=0.22692190968141177, c2=0.023819618838019103, score=0.899703 - 1.4s
[CV] c1=0.25483228949461545, c2=0.13089764900278175 ..................
[CV] c1=0.25483228949461545, c2=0.13089764900278175, score=0.919762 - 1.6s
[CV] c1=0.11429489799744622, c2=0.01488578964446575 ..................
[CV] c1=0.11429489799744622, c2=0.01488578964446575, score=0.690262 - 1.1s
[CV] c1=0.2905084415493135, c2=0.01849397696699137 ...................
[CV] c1=0.2905084415493135, c2=0.01849397696699137, score=0.938387 - 1.5s
[CV] c1=0.9997736934864921, c2=0.026878803960042243 ..................
[CV] c1=0.9997736934864921, c2=0.026878803960042243, score=0.737065 - 1.5s
[CV] c1=0.22692190968141177, c2=0.023819618838019103 .................
[CV] c1=0.22692190968141177, c2=0.023819618838019103, score=0.717966 - 1.5s
[CV] c1=1.6511701323120827, c2=0.08558259304928574 ...................
[CV] c1=1.6511701323120827, c2=0.08558259304928574, score=0.671836 - 1.5s
[CV] c1=0.11429489799744622, c2=0.01488578964446575 ..................
[CV] c1=0.11429489799744622, c2=0.01488578964446575, score=0.935584 - 1.1s
[CV] c1=0.2905084415493135, c2=0.01849397696699137 ...................
[CV] c1=0.2905084415493135, c2=0.01849397696699137, score=0.747448 - 1.5s
[CV] c1=0.9997736934864921, c2=0.026878803960042243 ..................
[CV] c1=0.9997736934864921, c2=0.026878803960042243, score=0.687077 - 1.5s
[CV] c1=0.22692190968141177, c2=0.023819618838019103 .................
[CV] c1=0.22692190968141177, c2=0.023819618838019103, score=0.627027 - 1.2s
[CV] c1=0.25483228949461545, c2=0.13089764900278175 ..................
[CV] c1=0.25483228949461545, c2=0.13089764900278175, score=0.857982 - 1.5s
[CV] c1=0.031955518564645284, c2=0.004198138415764393 ................
[CV] c1=0.031955518564645284, c2=0.004198138415764393, score=0.731659 - 1.4s
[CV] c1=0.6747528619946138, c2=0.07283789541988857 ...................
[CV] c1=0.6747528619946138, c2=0.07283789541988857, score=0.719617 - 1.5s
[CV] c1=0.5665040037123241, c2=0.011962486026690578 ..................
[CV] c1=0.5665040037123241, c2=0.011962486026690578, score=0.929632 - 1.4s
[CV] c1=0.07999002423801141, c2=0.000868661924339573 .................
[CV] c1=0.07999002423801141, c2=0.000868661924339573, score=0.602106 - 1.3s
[CV] c1=1.6511701323120827, c2=0.08558259304928574 ...................
[CV] c1=1.6511701323120827, c2=0.08558259304928574, score=0.779997 - 1.4s
[CV] c1=0.031955518564645284, c2=0.004198138415764393 ................
[CV] c1=0.031955518564645284, c2=0.004198138415764393, score=0.823710 - 1.4s
[CV] c1=0.6747528619946138, c2=0.07283789541988857 ...................
[CV] c1=0.6747528619946138, c2=0.07283789541988857, score=0.706548 - 1.3s
[CV] c1=0.5665040037123241, c2=0.011962486026690578 ..................
[CV] c1=0.5665040037123241, c2=0.011962486026690578, score=0.720838 - 1.3s
[CV] c1=0.07999002423801141, c2=0.000868661924339573 .................
[CV] c1=0.07999002423801141, c2=0.000868661924339573, score=0.752021 - 1.4s
[CV] c1=1.6511701323120827, c2=0.08558259304928574 ...................
[CV] c1=1.6511701323120827, c2=0.08558259304928574, score=0.726221 - 1.4s
[CV] c1=0.031955518564645284, c2=0.004198138415764393 ................
[CV] c1=0.031955518564645284, c2=0.004198138415764393, score=0.900039 - 1.5s
[CV] c1=0.6747528619946138, c2=0.07283789541988857 ...................
[CV] c1=0.6747528619946138, c2=0.07283789541988857, score=0.532088 - 1.3s
[CV] c1=0.04258998203691286, c2=0.08845660294483688 ..................
[CV] c1=0.04258998203691286, c2=0.08845660294483688, score=0.738823 - 1.4s
[CV] c1=0.08442255640374982, c2=0.07334312442868467 ..................
[CV] c1=0.08442255640374982, c2=0.07334312442868467, score=0.665417 - 1.5s
[CV] c1=0.17037724024202613, c2=0.04579884459555339 ..................
[CV] c1=0.17037724024202613, c2=0.04579884459555339, score=0.690262 - 1.3s
[CV] c1=0.031955518564645284, c2=0.004198138415764393 ................
[CV] c1=0.031955518564645284, c2=0.004198138415764393, score=0.620108 - 1.2s
[CV] c1=0.6747528619946138, c2=0.07283789541988857 ...................
[CV] c1=0.6747528619946138, c2=0.07283789541988857, score=0.818254 - 1.5s
[CV] c1=0.04258998203691286, c2=0.08845660294483688 ..................
[CV] c1=0.04258998203691286, c2=0.08845660294483688, score=0.665417 - 1.3s
[CV] c1=0.08442255640374982, c2=0.07334312442868467 ..................
[CV] c1=0.08442255640374982, c2=0.07334312442868467, score=0.721089 - 1.5s
[CV] c1=0.17037724024202613, c2=0.04579884459555339 ..................
[CV] c1=0.17037724024202613, c2=0.04579884459555339, score=0.734882 - 1.3s
[CV] c1=0.18982871503169924, c2=0.046233745555238626 .................
[CV] c1=0.18982871503169924, c2=0.046233745555238626, score=0.866790 - 1.5s
[CV] c1=0.8685665773754986, c2=0.040475472475883754 ..................
[CV] c1=0.8685665773754986, c2=0.040475472475883754, score=0.535633 - 1.2s
[CV] c1=0.5665040037123241, c2=0.011962486026690578 ..................
[CV] c1=0.5665040037123241, c2=0.011962486026690578, score=0.734882 - 1.4s
[CV] c1=0.07999002423801141, c2=0.000868661924339573 .................
[CV] c1=0.07999002423801141, c2=0.000868661924339573, score=0.724270 - 1.5s
[CV] c1=1.6511701323120827, c2=0.08558259304928574 ...................
[CV] c1=1.6511701323120827, c2=0.08558259304928574, score=0.672403 - 1.4s
[CV] c1=0.11429489799744622, c2=0.01488578964446575 ..................
[CV] c1=0.11429489799744622, c2=0.01488578964446575, score=0.906853 - 1.4s
[CV] c1=0.8685665773754986, c2=0.040475472475883754 ..................
[CV] c1=0.8685665773754986, c2=0.040475472475883754, score=0.849399 - 1.5s
[CV] c1=0.5665040037123241, c2=0.011962486026690578 ..................
[CV] c1=0.5665040037123241, c2=0.011962486026690578, score=0.830312 - 1.5s
[CV] c1=0.07999002423801141, c2=0.000868661924339573 .................
[CV] c1=0.07999002423801141, c2=0.000868661924339573, score=0.779574 - 1.6s
[CV] c1=1.6511701323120827, c2=0.08558259304928574 ...................
[CV] c1=1.6511701323120827, c2=0.08558259304928574, score=0.521176 - 1.2s
[CV] c1=0.11429489799744622, c2=0.01488578964446575 ..................
[CV] c1=0.11429489799744622, c2=0.01488578964446575, score=0.740663 - 0.9s
[CV] c1=0.2905084415493135, c2=0.01849397696699137 ...................
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[CV] c1=0.9997736934864921, c2=0.026878803960042243 ..................
[CV] c1=0.9997736934864921, c2=0.026878803960042243, score=0.675999 - 1.4s
[CV] c1=0.22692190968141177, c2=0.023819618838019103 .................
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[CV] c1=0.25483228949461545, c2=0.13089764900278175 ..................
[CV] c1=0.25483228949461545, c2=0.13089764900278175, score=0.851068 - 1.6s
[CV] c1=0.11429489799744622, c2=0.01488578964446575 ..................
[CV] c1=0.11429489799744622, c2=0.01488578964446575, score=0.724270 - 1.4s
[CV] c1=0.2905084415493135, c2=0.01849397696699137 ...................
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[CV] c1=0.5665040037123241, c2=0.011962486026690578 ..................
[CV] c1=0.5665040037123241, c2=0.011962486026690578, score=0.594443 - 1.2s
[CV] c1=0.07999002423801141, c2=0.000868661924339573 .................
[CV] c1=0.07999002423801141, c2=0.000868661924339573, score=0.895775 - 1.6s
[CV] c1=1.6511701323120827, c2=0.08558259304928574 ...................
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[CV] c1=0.11429489799744622, c2=0.01488578964446575 ..................
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[CV] c1=0.2905084415493135, c2=0.01849397696699137 ...................
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[CV] c1=0.9997736934864921, c2=0.026878803960042243 ..................
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[CV] c1=0.22692190968141177, c2=0.023819618838019103 .................
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[CV] c1=0.25483228949461545, c2=0.13089764900278175 ..................
[CV] c1=0.25483228949461545, c2=0.13089764900278175, score=0.662689 - 1.5s
[CV] c1=0.11429489799744622, c2=0.01488578964446575 ..................
[CV] c1=0.11429489799744622, c2=0.01488578964446575, score=0.572084 - 1.2s
[CV] c1=0.2905084415493135, c2=0.01849397696699137 ...................
[CV] c1=0.2905084415493135, c2=0.01849397696699137, score=0.930841 - 1.7s
[CV] c1=0.5665040037123241, c2=0.011962486026690578 ..................
[CV] c1=0.5665040037123241, c2=0.011962486026690578, score=0.849399 - 1.5s
[CV] c1=0.07999002423801141, c2=0.000868661924339573 .................
[CV] c1=0.07999002423801141, c2=0.000868661924339573, score=0.930841 - 1.4s
[CV] c1=1.6511701323120827, c2=0.08558259304928574 ...................
[CV] c1=1.6511701323120827, c2=0.08558259304928574, score=0.681542 - 1.4s
[CV] c1=0.18982871503169924, c2=0.046233745555238626 .................
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[CV] c1=0.8685665773754986, c2=0.040475472475883754 ..................
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[CV] c1=0.5665040037123241, c2=0.011962486026690578 ..................
[CV] c1=0.5665040037123241, c2=0.011962486026690578, score=0.927522 - 1.5s
[CV] c1=0.07999002423801141, c2=0.000868661924339573 .................
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[CV] c1=1.6511701323120827, c2=0.08558259304928574 ...................
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[CV] c1=0.031955518564645284, c2=0.004198138415764393 ................
[CV] c1=0.031955518564645284, c2=0.004198138415764393, score=0.930841 - 1.5s
[CV] c1=0.6747528619946138, c2=0.07283789541988857 ...................
[CV] c1=0.6747528619946138, c2=0.07283789541988857, score=0.895623 - 1.4s
[CV] c1=0.04258998203691286, c2=0.08845660294483688 ..................
[CV] c1=0.04258998203691286, c2=0.08845660294483688, score=0.871945 - 1.5s
[CV] c1=0.08442255640374982, c2=0.07334312442868467 ..................
[CV] c1=0.08442255640374982, c2=0.07334312442868467, score=0.909467 - 1.5s
[CV] c1=0.17037724024202613, c2=0.04579884459555339 ..................
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[CV] c1=0.15911702521720522, c2=0.046161934701581496 .................
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[CV] c1=0.09008322955518538, c2=0.07446232300940821 ..................
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[CV] c1=0.25902302075140105, c2=0.03091362551658973 ..................
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[CV] c1=0.10267282220358842, c2=0.0004147936931735207 ................
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[CV] c1=0.17037724024202613, c2=0.04579884459555339 ..................
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[CV] c1=0.18982871503169924, c2=0.046233745555238626 .................
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[CV] c1=0.6747528619946138, c2=0.07283789541988857 ...................
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[CV] c1=0.04258998203691286, c2=0.08845660294483688 ..................
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[CV] c1=0.08442255640374982, c2=0.07334312442868467 ..................
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[CV] c1=0.17037724024202613, c2=0.04579884459555339 ..................
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[CV] c1=0.18982871503169924, c2=0.046233745555238626 .................
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[CV] c1=0.8685665773754986, c2=0.040475472475883754 ..................
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[CV] c1=0.04258998203691286, c2=0.08845660294483688 ..................
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[CV] c1=0.08442255640374982, c2=0.07334312442868467 ..................
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[CV] c1=0.17037724024202613, c2=0.04579884459555339 ..................
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[CV] c1=0.031955518564645284, c2=0.004198138415764393 ................
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[CV] c1=0.6747528619946138, c2=0.07283789541988857 ...................
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[CV] c1=0.04258998203691286, c2=0.08845660294483688 ..................
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[CV] c1=0.08442255640374982, c2=0.07334312442868467 ..................
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[CV] c1=0.17037724024202613, c2=0.04579884459555339 ..................
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[CV] c1=0.18982871503169924, c2=0.046233745555238626 .................
[CV] c1=0.18982871503169924, c2=0.046233745555238626, score=0.899703 - 1.4s
[CV] c1=0.8685665773754986, c2=0.040475472475883754 ..................
[CV] c1=0.8685665773754986, c2=0.040475472475883754, score=0.881363 - 1.6s
[CV] c1=0.04258998203691286, c2=0.08845660294483688 ..................
[CV] c1=0.04258998203691286, c2=0.08845660294483688, score=0.711434 - 1.4s
[CV] c1=0.08442255640374982, c2=0.07334312442868467 ..................
[CV] c1=0.08442255640374982, c2=0.07334312442868467, score=0.711434 - 1.6s
[CV] c1=1.6087629131114594, c2=0.06538470359631814 ...................
[CV] c1=1.6087629131114594, c2=0.06538470359631814, score=0.632374 - 1.1s
[CV] c1=0.031955518564645284, c2=0.004198138415764393 ................
[CV] c1=0.031955518564645284, c2=0.004198138415764393, score=0.778194 - 1.5s
[CV] c1=0.6747528619946138, c2=0.07283789541988857 ...................
[CV] c1=0.6747528619946138, c2=0.07283789541988857, score=0.708650 - 1.6s
[CV] c1=0.25902302075140105, c2=0.03091362551658973 ..................
[CV] c1=0.25902302075140105, c2=0.03091362551658973, score=0.723944 - 1.3s
[CV] c1=0.10267282220358842, c2=0.0004147936931735207 ................
[CV] c1=0.10267282220358842, c2=0.0004147936931735207, score=0.724270 - 1.4s
[CV] c1=0.17037724024202613, c2=0.04579884459555339 ..................
[CV] c1=0.17037724024202613, c2=0.04579884459555339, score=0.899703 - 1.3s
[CV] c1=0.15911702521720522, c2=0.046161934701581496 .................
[CV] c1=0.15911702521720522, c2=0.046161934701581496, score=0.748932 - 1.5s
[CV] c1=0.09008322955518538, c2=0.07446232300940821 ..................
[CV] c1=0.09008322955518538, c2=0.07446232300940821, score=0.755552 - 1.4s
[CV] c1=0.25902302075140105, c2=0.03091362551658973 ..................
[CV] c1=0.25902302075140105, c2=0.03091362551658973, score=0.746243 - 1.6s
[CV] c1=0.10267282220358842, c2=0.0004147936931735207 ................
[CV] c1=0.10267282220358842, c2=0.0004147936931735207, score=0.603222 - 1.2s
[CV] c1=1.6087629131114594, c2=0.06538470359631814 ...................
[CV] c1=1.6087629131114594, c2=0.06538470359631814, score=0.672403 - 1.1s
[CV] c1=0.15911702521720522, c2=0.046161934701581496 .................
[CV] c1=0.15911702521720522, c2=0.046161934701581496, score=0.766835 - 1.5s
[CV] c1=0.09008322955518538, c2=0.07446232300940821 ..................
[CV] c1=0.09008322955518538, c2=0.07446232300940821, score=0.766835 - 1.3s
[CV] c1=0.25902302075140105, c2=0.03091362551658973 ..................
[CV] c1=0.25902302075140105, c2=0.03091362551658973, score=0.883871 - 1.4s
[CV] c1=0.10267282220358842, c2=0.0004147936931735207 ................
[CV] c1=0.10267282220358842, c2=0.0004147936931735207, score=0.904833 - 1.4s
[CV] c1=1.6087629131114594, c2=0.06538470359631814 ...................
[CV] c1=1.6087629131114594, c2=0.06538470359631814, score=0.779997 - 1.1s
[CV] c1=0.11429489799744622, c2=0.01488578964446575 ..................
[CV] c1=0.11429489799744622, c2=0.01488578964446575, score=0.933789 - 0.9s
[CV] c1=0.2905084415493135, c2=0.01849397696699137 ...................
[CV] c1=0.2905084415493135, c2=0.01849397696699137, score=0.843585 - 1.5s
[CV] c1=0.9997736934864921, c2=0.026878803960042243 ..................
[CV] c1=0.9997736934864921, c2=0.026878803960042243, score=0.790471 - 1.4s
[CV] c1=0.22692190968141177, c2=0.023819618838019103 .................
[CV] c1=0.22692190968141177, c2=0.023819618838019103, score=0.723944 - 1.4s
[CV] c1=0.10267282220358842, c2=0.0004147936931735207 ................
[CV] c1=0.10267282220358842, c2=0.0004147936931735207, score=0.933040 - 1.5s
[CV] c1=1.6087629131114594, c2=0.06538470359631814 ...................
[CV] c1=1.6087629131114594, c2=0.06538470359631814, score=0.535144 - 0.9s
[CV] c1=0.18982871503169924, c2=0.046233745555238626 .................
[CV] c1=0.18982871503169924, c2=0.046233745555238626, score=0.819775 - 1.5s
[CV] c1=0.8685665773754986, c2=0.040475472475883754 ..................
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[CV] c1=0.04258998203691286, c2=0.08845660294483688 ..................
[CV] c1=0.04258998203691286, c2=0.08845660294483688, score=0.881282 - 1.4s
[CV] c1=0.08442255640374982, c2=0.07334312442868467 ..................
[CV] c1=0.08442255640374982, c2=0.07334312442868467, score=0.892457 - 1.7s
[CV] c1=1.6087629131114594, c2=0.06538470359631814 ...................
[CV] c1=1.6087629131114594, c2=0.06538470359631814, score=0.678081 - 1.3s
[CV] c1=0.15911702521720522, c2=0.046161934701581496 .................
[CV] c1=0.15911702521720522, c2=0.046161934701581496, score=0.848001 - 1.5s
[CV] c1=0.09008322955518538, c2=0.07446232300940821 ..................
[CV] c1=0.09008322955518538, c2=0.07446232300940821, score=0.892457 - 1.4s
[CV] c1=0.25902302075140105, c2=0.03091362551658973 ..................
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[CV] c1=0.10267282220358842, c2=0.0004147936931735207 ................
[CV] c1=0.10267282220358842, c2=0.0004147936931735207, score=0.705101 - 1.5s
[CV] c1=1.6087629131114594, c2=0.06538470359631814 ...................
[CV] c1=1.6087629131114594, c2=0.06538470359631814, score=0.703127 - 1.0s
[CV] c1=0.15911702521720522, c2=0.046161934701581496 .................
[CV] c1=0.15911702521720522, c2=0.046161934701581496, score=0.819775 - 1.5s
[CV] c1=0.09008322955518538, c2=0.07446232300940821 ..................
[CV] c1=0.09008322955518538, c2=0.07446232300940821, score=0.721089 - 1.4s
[CV] c1=0.25902302075140105, c2=0.03091362551658973 ..................
[CV] c1=0.25902302075140105, c2=0.03091362551658973, score=0.721089 - 1.5s
[CV] c1=0.10267282220358842, c2=0.0004147936931735207 ................
[CV] c1=0.10267282220358842, c2=0.0004147936931735207, score=0.819775 - 1.4s
[CV] c1=1.6087629131114594, c2=0.06538470359631814 ...................
[CV] c1=1.6087629131114594, c2=0.06538470359631814, score=0.726221 - 1.1s
[CV] c1=0.031955518564645284, c2=0.004198138415764393 ................
[CV] c1=0.031955518564645284, c2=0.004198138415764393, score=0.684656 - 1.4s
[CV] c1=0.6747528619946138, c2=0.07283789541988857 ...................
[CV] c1=0.6747528619946138, c2=0.07283789541988857, score=0.863912 - 1.4s
[CV] c1=0.04258998203691286, c2=0.08845660294483688 ..................
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[CV] c1=0.08442255640374982, c2=0.07334312442868467 ..................
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[CV] c1=0.17037724024202613, c2=0.04579884459555339 ..................
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[CV] c1=0.15911702521720522, c2=0.046161934701581496 .................
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[CV] c1=0.09008322955518538, c2=0.07446232300940821 ..................
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[CV] c1=0.25902302075140105, c2=0.03091362551658973 ..................
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[CV] c1=0.10267282220358842, c2=0.0004147936931735207 ................
[CV] c1=0.10267282220358842, c2=0.0004147936931735207, score=0.921146 - 1.5s
[CV] c1=1.6087629131114594, c2=0.06538470359631814 ...................
[CV] c1=1.6087629131114594, c2=0.06538470359631814, score=0.681542 - 1.0s
[CV] c1=0.15911702521720522, c2=0.046161934701581496 .................
[CV] c1=0.15911702521720522, c2=0.046161934701581496, score=0.690262 - 1.5s
[CV] c1=0.09008322955518538, c2=0.07446232300940821 ..................
[CV] c1=0.09008322955518538, c2=0.07446232300940821, score=0.665417 - 1.3s
[CV] c1=0.04258998203691286, c2=0.08845660294483688 ..................
[CV] c1=0.04258998203691286, c2=0.08845660294483688, score=0.629561 - 1.4s
[CV] c1=0.08442255640374982, c2=0.07334312442868467 ..................
[CV] c1=0.08442255640374982, c2=0.07334312442868467, score=0.613609 - 1.3s
[CV] c1=0.17037724024202613, c2=0.04579884459555339 ..................
[CV] c1=0.17037724024202613, c2=0.04579884459555339, score=0.883871 - 1.4s
[CV] c1=0.15911702521720522, c2=0.046161934701581496 .................
[CV] c1=0.15911702521720522, c2=0.046161934701581496, score=0.933070 - 1.6s
[CV] c1=0.09008322955518538, c2=0.07446232300940821 ..................
[CV] c1=0.09008322955518538, c2=0.07446232300940821, score=0.925714 - 1.3s
[CV] c1=0.25902302075140105, c2=0.03091362551658973 ..................
[CV] c1=0.25902302075140105, c2=0.03091362551658973, score=0.747448 - 1.4s
[CV] c1=0.10267282220358842, c2=0.0004147936931735207 ................
[CV] c1=0.10267282220358842, c2=0.0004147936931735207, score=0.752021 - 1.4s
[CV] c1=1.6087629131114594, c2=0.06538470359631814 ...................
[CV] c1=1.6087629131114594, c2=0.06538470359631814, score=0.624854 - 1.1s
Training done in: 9.342762s
Saving training model...
Saving training model done in: 0.013957s
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Prediction done in: 0.032526s