Run_2.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 False
Report file: _v13
Exclude symbols: False
-------------------------------- PROCESSING --------------------------------
Reading corpus...
Sentences training data: 286
Sentences test data: 123
Reading corpus done in: 0.003524s
-------------------------------- 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 lemma[:1] 2
--------------------------- 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 lemma[:1] d
11 lemma[:2] de
Fitting 10 folds for each of 20 candidates, totalling 200 fits
[CV] c1=0.0505702396295773, c2=0.03724107191018463 ...................
[CV] c1=0.0505702396295773, c2=0.03724107191018463, score=0.903013 - 1.0s
[CV] c1=0.14504807394901736, c2=0.07115988818379711 ..................
[CV] c1=0.14504807394901736, c2=0.07115988818379711, score=0.823347 - 1.2s
[CV] c1=0.09696363230645079, c2=0.05497775519339914 ..................
[CV] c1=0.09696363230645079, c2=0.05497775519339914, score=0.826770 - 1.3s
[CV] c1=0.1708100222872568, c2=0.17867095411785475 ...................
[CV] c1=0.1708100222872568, c2=0.17867095411785475, score=0.804632 - 1.3s
[CV] c1=0.17887820290814255, c2=0.02972437620845303 ..................
[CV] c1=0.17887820290814255, c2=0.02972437620845303, score=0.822297 - 1.3s
[CV] c1=0.0505702396295773, c2=0.03724107191018463 ...................
[CV] c1=0.0505702396295773, c2=0.03724107191018463, score=0.768346 - 1.2s
[CV] c1=0.14504807394901736, c2=0.07115988818379711 ..................
[CV] c1=0.14504807394901736, c2=0.07115988818379711, score=0.914124 - 1.2s
[CV] c1=0.09696363230645079, c2=0.05497775519339914 ..................
[CV] c1=0.09696363230645079, c2=0.05497775519339914, score=0.826784 - 1.2s
[CV] c1=0.1708100222872568, c2=0.17867095411785475 ...................
[CV] c1=0.1708100222872568, c2=0.17867095411785475, score=0.818942 - 1.2s
[CV] c1=0.17887820290814255, c2=0.02972437620845303 ..................
[CV] c1=0.17887820290814255, c2=0.02972437620845303, score=0.813100 - 1.4s
[CV] c1=0.0505702396295773, c2=0.03724107191018463 ...................
[CV] c1=0.0505702396295773, c2=0.03724107191018463, score=0.839590 - 1.2s
[CV] c1=0.14504807394901736, c2=0.07115988818379711 ..................
[CV] c1=0.14504807394901736, c2=0.07115988818379711, score=0.920107 - 1.2s
[CV] c1=0.09696363230645079, c2=0.05497775519339914 ..................
[CV] c1=0.09696363230645079, c2=0.05497775519339914, score=0.914124 - 1.3s
[CV] c1=0.1708100222872568, c2=0.17867095411785475 ...................
[CV] c1=0.1708100222872568, c2=0.17867095411785475, score=0.832633 - 1.3s
[CV] c1=0.17887820290814255, c2=0.02972437620845303 ..................
[CV] c1=0.17887820290814255, c2=0.02972437620845303, score=0.914124 - 1.2s
[CV] c1=0.0505702396295773, c2=0.03724107191018463 ...................
[CV] c1=0.0505702396295773, c2=0.03724107191018463, score=0.845585 - 1.0s
[CV] c1=0.14504807394901736, c2=0.07115988818379711 ..................
[CV] c1=0.14504807394901736, c2=0.07115988818379711, score=0.768346 - 1.4s
[CV] c1=0.09696363230645079, c2=0.05497775519339914 ..................
[CV] c1=0.09696363230645079, c2=0.05497775519339914, score=0.794216 - 1.3s
[CV] c1=0.1708100222872568, c2=0.17867095411785475 ...................
[CV] c1=0.1708100222872568, c2=0.17867095411785475, score=0.914573 - 1.2s
[CV] c1=0.17887820290814255, c2=0.02972437620845303 ..................
[CV] c1=0.17887820290814255, c2=0.02972437620845303, score=0.741087 - 1.4s
[CV] c1=0.2953014349078118, c2=0.0012108405088671111 .................
[CV] c1=0.2953014349078118, c2=0.0012108405088671111, score=0.822003 - 1.1s
[CV] c1=0.14504807394901736, c2=0.07115988818379711 ..................
[CV] c1=0.14504807394901736, c2=0.07115988818379711, score=0.858878 - 1.3s
[CV] c1=0.09696363230645079, c2=0.05497775519339914 ..................
[CV] c1=0.09696363230645079, c2=0.05497775519339914, score=0.927031 - 1.2s
[CV] c1=0.1708100222872568, c2=0.17867095411785475 ...................
[CV] c1=0.1708100222872568, c2=0.17867095411785475, score=0.858878 - 1.3s
[CV] c1=0.17887820290814255, c2=0.02972437620845303 ..................
[CV] c1=0.17887820290814255, c2=0.02972437620845303, score=0.830456 - 1.3s
[CV] c1=0.0505702396295773, c2=0.03724107191018463 ...................
[CV] c1=0.0505702396295773, c2=0.03724107191018463, score=0.885830 - 1.2s
[CV] c1=0.14504807394901736, c2=0.07115988818379711 ..................
[CV] c1=0.14504807394901736, c2=0.07115988818379711, score=0.794216 - 1.4s
[CV] c1=0.09696363230645079, c2=0.05497775519339914 ..................
[CV] c1=0.09696363230645079, c2=0.05497775519339914, score=0.839590 - 1.2s
[CV] c1=0.1708100222872568, c2=0.17867095411785475 ...................
[CV] c1=0.1708100222872568, c2=0.17867095411785475, score=0.799176 - 1.4s
[CV] c1=0.17887820290814255, c2=0.02972437620845303 ..................
[CV] c1=0.17887820290814255, c2=0.02972437620845303, score=0.851102 - 1.3s
[CV] c1=0.2953014349078118, c2=0.0012108405088671111 .................
[CV] c1=0.2953014349078118, c2=0.0012108405088671111, score=0.923528 - 1.4s
[CV] c1=0.049883149420407336, c2=0.07084188092752734 .................
[CV] c1=0.049883149420407336, c2=0.07084188092752734, score=0.820019 - 1.2s
[CV] c1=0.23305546986968095, c2=0.053519080953157376 .................
[CV] c1=0.23305546986968095, c2=0.053519080953157376, score=0.920107 - 1.2s
[CV] c1=2.333584831476656, c2=0.013244261040358064 ...................
[CV] c1=2.333584831476656, c2=0.013244261040358064, score=0.665260 - 1.1s
[CV] c1=0.17887820290814255, c2=0.02972437620845303 ..................
[CV] c1=0.17887820290814255, c2=0.02972437620845303, score=0.908120 - 1.3s
[CV] c1=0.06034444472286749, c2=0.04518594376646258 ..................
[CV] c1=0.06034444472286749, c2=0.04518594376646258, score=0.839590 - 1.3s
[CV] c1=0.049883149420407336, c2=0.07084188092752734 .................
[CV] c1=0.049883149420407336, c2=0.07084188092752734, score=0.794216 - 1.3s
[CV] c1=0.5134380380315382, c2=0.007750215333905019 ..................
[CV] c1=0.5134380380315382, c2=0.007750215333905019, score=0.869411 - 1.2s
[CV] c1=0.13330184503096318, c2=0.015952382909212963 .................
[CV] c1=0.13330184503096318, c2=0.015952382909212963, score=0.794216 - 1.1s
[CV] c1=1.7637796840994346, c2=0.051521349900768856 ..................
[CV] c1=1.7637796840994346, c2=0.051521349900768856, score=0.772731 - 1.1s
[CV] c1=0.0505702396295773, c2=0.03724107191018463 ...................
[CV] c1=0.0505702396295773, c2=0.03724107191018463, score=0.820019 - 1.1s
[CV] c1=0.14504807394901736, c2=0.07115988818379711 ..................
[CV] c1=0.14504807394901736, c2=0.07115988818379711, score=0.807863 - 1.4s
[CV] c1=0.09696363230645079, c2=0.05497775519339914 ..................
[CV] c1=0.09696363230645079, c2=0.05497775519339914, score=0.768346 - 1.3s
[CV] c1=0.1708100222872568, c2=0.17867095411785475 ...................
[CV] c1=0.1708100222872568, c2=0.17867095411785475, score=0.768346 - 1.3s
[CV] c1=0.17887820290814255, c2=0.02972437620845303 ..................
[CV] c1=0.17887820290814255, c2=0.02972437620845303, score=0.794216 - 1.3s
[CV] c1=0.2953014349078118, c2=0.0012108405088671111 .................
[CV] c1=0.2953014349078118, c2=0.0012108405088671111, score=0.914124 - 1.4s
[CV] c1=0.049883149420407336, c2=0.07084188092752734 .................
[CV] c1=0.049883149420407336, c2=0.07084188092752734, score=0.854074 - 1.3s
[CV] c1=0.5134380380315382, c2=0.007750215333905019 ..................
[CV] c1=0.5134380380315382, c2=0.007750215333905019, score=0.822253 - 1.1s
[CV] c1=2.333584831476656, c2=0.013244261040358064 ...................
[CV] c1=2.333584831476656, c2=0.013244261040358064, score=0.746818 - 1.3s
[CV] c1=1.7637796840994346, c2=0.051521349900768856 ..................
[CV] c1=1.7637796840994346, c2=0.051521349900768856, score=0.897054 - 1.1s
[CV] c1=0.2953014349078118, c2=0.0012108405088671111 .................
[CV] c1=0.2953014349078118, c2=0.0012108405088671111, score=0.857708 - 1.2s
[CV] c1=0.098397359682104, c2=0.018958226770139863 ...................
[CV] c1=0.098397359682104, c2=0.018958226770139863, score=0.847686 - 1.4s
[CV] c1=0.23305546986968095, c2=0.053519080953157376 .................
[CV] c1=0.23305546986968095, c2=0.053519080953157376, score=0.914573 - 1.2s
[CV] c1=2.333584831476656, c2=0.013244261040358064 ...................
[CV] c1=2.333584831476656, c2=0.013244261040358064, score=0.706226 - 1.3s
[CV] c1=1.7637796840994346, c2=0.051521349900768856 ..................
[CV] c1=1.7637796840994346, c2=0.051521349900768856, score=0.674835 - 1.2s
[CV] c1=0.0505702396295773, c2=0.03724107191018463 ...................
[CV] c1=0.0505702396295773, c2=0.03724107191018463, score=0.796207 - 1.3s
[CV] c1=0.14504807394901736, c2=0.07115988818379711 ..................
[CV] c1=0.14504807394901736, c2=0.07115988818379711, score=0.830456 - 1.3s
[CV] c1=0.23305546986968095, c2=0.053519080953157376 .................
[CV] c1=0.23305546986968095, c2=0.053519080953157376, score=0.801006 - 1.4s
[CV] c1=2.333584831476656, c2=0.013244261040358064 ...................
[CV] c1=2.333584831476656, c2=0.013244261040358064, score=0.824189 - 1.3s
[CV] c1=1.7637796840994346, c2=0.051521349900768856 ..................
[CV] c1=1.7637796840994346, c2=0.051521349900768856, score=0.789187 - 1.3s
[CV] c1=0.06034444472286749, c2=0.04518594376646258 ..................
[CV] c1=0.06034444472286749, c2=0.04518594376646258, score=0.768346 - 1.3s
[CV] c1=0.049883149420407336, c2=0.07084188092752734 .................
[CV] c1=0.049883149420407336, c2=0.07084188092752734, score=0.768346 - 1.3s
[CV] c1=0.5134380380315382, c2=0.007750215333905019 ..................
[CV] c1=0.5134380380315382, c2=0.007750215333905019, score=0.909849 - 1.2s
[CV] c1=0.13330184503096318, c2=0.015952382909212963 .................
[CV] c1=0.13330184503096318, c2=0.015952382909212963, score=0.826784 - 1.1s
[CV] c1=1.7637796840994346, c2=0.051521349900768856 ..................
[CV] c1=1.7637796840994346, c2=0.051521349900768856, score=0.829732 - 1.2s
[CV] c1=0.2953014349078118, c2=0.0012108405088671111 .................
[CV] c1=0.2953014349078118, c2=0.0012108405088671111, score=0.917297 - 1.2s
[CV] c1=0.098397359682104, c2=0.018958226770139863 ...................
[CV] c1=0.098397359682104, c2=0.018958226770139863, score=0.823347 - 1.2s
[CV] c1=0.09696363230645079, c2=0.05497775519339914 ..................
[CV] c1=0.09696363230645079, c2=0.05497775519339914, score=0.845585 - 1.3s
[CV] c1=0.1708100222872568, c2=0.17867095411785475 ...................
[CV] c1=0.1708100222872568, c2=0.17867095411785475, score=0.816370 - 1.3s
[CV] c1=0.17887820290814255, c2=0.02972437620845303 ..................
[CV] c1=0.17887820290814255, c2=0.02972437620845303, score=0.932108 - 1.4s
[CV] c1=0.2063113369204353, c2=0.15341573930424565 ...................
[CV] c1=0.2063113369204353, c2=0.15341573930424565, score=0.820852 - 1.3s
[CV] c1=0.06894682357962188, c2=0.003142860192667755 .................
[CV] c1=0.06894682357962188, c2=0.003142860192667755, score=0.920280 - 1.2s
[CV] c1=0.7592894566389128, c2=0.05514117224596054 ...................
[CV] c1=0.7592894566389128, c2=0.05514117224596054, score=0.900097 - 1.2s
[CV] c1=0.13330184503096318, c2=0.015952382909212963 .................
[CV] c1=0.13330184503096318, c2=0.015952382909212963, score=0.931072 - 1.3s
[CV] c1=0.2359376373743631, c2=0.039179017178379495 ..................
[CV] c1=0.2359376373743631, c2=0.039179017178379495, score=0.923528 - 0.9s
[CV] c1=0.2953014349078118, c2=0.0012108405088671111 .................
[CV] c1=0.2953014349078118, c2=0.0012108405088671111, score=0.807863 - 1.3s
[CV] c1=0.098397359682104, c2=0.018958226770139863 ...................
[CV] c1=0.098397359682104, c2=0.018958226770139863, score=0.834657 - 1.3s
[CV] c1=0.23305546986968095, c2=0.053519080953157376 .................
[CV] c1=0.23305546986968095, c2=0.053519080953157376, score=0.820852 - 1.2s
[CV] c1=2.333584831476656, c2=0.013244261040358064 ...................
[CV] c1=2.333584831476656, c2=0.013244261040358064, score=0.786768 - 1.3s
[CV] c1=1.7637796840994346, c2=0.051521349900768856 ..................
[CV] c1=1.7637796840994346, c2=0.051521349900768856, score=0.908567 - 1.2s
[CV] c1=0.06034444472286749, c2=0.04518594376646258 ..................
[CV] c1=0.06034444472286749, c2=0.04518594376646258, score=0.914124 - 1.2s
[CV] c1=0.098397359682104, c2=0.018958226770139863 ...................
[CV] c1=0.098397359682104, c2=0.018958226770139863, score=0.935664 - 1.3s
[CV] c1=0.5134380380315382, c2=0.007750215333905019 ..................
[CV] c1=0.5134380380315382, c2=0.007750215333905019, score=0.741087 - 1.3s
[CV] c1=0.13330184503096318, c2=0.015952382909212963 .................
[CV] c1=0.13330184503096318, c2=0.015952382909212963, score=0.940579 - 1.1s
[CV] c1=1.7637796840994346, c2=0.051521349900768856 ..................
[CV] c1=1.7637796840994346, c2=0.051521349900768856, score=0.736415 - 1.2s
[CV] c1=0.0505702396295773, c2=0.03724107191018463 ...................
[CV] c1=0.0505702396295773, c2=0.03724107191018463, score=0.927877 - 1.3s
[CV] c1=0.098397359682104, c2=0.018958226770139863 ...................
[CV] c1=0.098397359682104, c2=0.018958226770139863, score=0.845779 - 1.3s
[CV] c1=0.23305546986968095, c2=0.053519080953157376 .................
[CV] c1=0.23305546986968095, c2=0.053519080953157376, score=0.818860 - 1.3s
[CV] c1=2.333584831476656, c2=0.013244261040358064 ...................
[CV] c1=2.333584831476656, c2=0.013244261040358064, score=0.548190 - 1.3s
[CV] c1=1.7637796840994346, c2=0.051521349900768856 ..................
[CV] c1=1.7637796840994346, c2=0.051521349900768856, score=0.575242 - 1.3s
[CV] c1=0.0505702396295773, c2=0.03724107191018463 ...................
[CV] c1=0.0505702396295773, c2=0.03724107191018463, score=0.864170 - 1.2s
[CV] c1=0.14504807394901736, c2=0.07115988818379711 ..................
[CV] c1=0.14504807394901736, c2=0.07115988818379711, score=0.932108 - 1.3s
[CV] c1=0.09696363230645079, c2=0.05497775519339914 ..................
[CV] c1=0.09696363230645079, c2=0.05497775519339914, score=0.935664 - 1.3s
[CV] c1=0.1708100222872568, c2=0.17867095411785475 ...................
[CV] c1=0.1708100222872568, c2=0.17867095411785475, score=0.956378 - 1.3s
[CV] c1=1.7637796840994346, c2=0.051521349900768856 ..................
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[CV] c1=0.06034444472286749, c2=0.04518594376646258 ..................
[CV] c1=0.06034444472286749, c2=0.04518594376646258, score=0.823347 - 1.2s
[CV] c1=0.098397359682104, c2=0.018958226770139863 ...................
[CV] c1=0.098397359682104, c2=0.018958226770139863, score=0.837271 - 1.3s
[CV] c1=0.23305546986968095, c2=0.053519080953157376 .................
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[CV] c1=2.333584831476656, c2=0.013244261040358064 ...................
[CV] c1=2.333584831476656, c2=0.013244261040358064, score=0.748339 - 1.2s
[CV] c1=1.7637796840994346, c2=0.051521349900768856 ..................
[CV] c1=1.7637796840994346, c2=0.051521349900768856, score=0.805600 - 1.3s
[CV] c1=0.0505702396295773, c2=0.03724107191018463 ...................
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[CV] c1=0.14504807394901736, c2=0.07115988818379711 ..................
[CV] c1=0.14504807394901736, c2=0.07115988818379711, score=0.839590 - 1.3s
[CV] c1=0.09696363230645079, c2=0.05497775519339914 ..................
[CV] c1=0.09696363230645079, c2=0.05497775519339914, score=0.858878 - 1.4s
[CV] c1=0.1708100222872568, c2=0.17867095411785475 ...................
[CV] c1=0.1708100222872568, c2=0.17867095411785475, score=0.840483 - 1.3s
[CV] c1=0.17887820290814255, c2=0.02972437620845303 ..................
[CV] c1=0.17887820290814255, c2=0.02972437620845303, score=0.892261 - 1.4s
[CV] c1=0.2953014349078118, c2=0.0012108405088671111 .................
[CV] c1=0.2953014349078118, c2=0.0012108405088671111, score=0.878705 - 1.3s
[CV] c1=0.098397359682104, c2=0.018958226770139863 ...................
[CV] c1=0.098397359682104, c2=0.018958226770139863, score=0.932267 - 1.2s
[CV] c1=0.23305546986968095, c2=0.053519080953157376 .................
[CV] c1=0.23305546986968095, c2=0.053519080953157376, score=0.853503 - 1.3s
[CV] c1=2.333584831476656, c2=0.013244261040358064 ...................
[CV] c1=2.333584831476656, c2=0.013244261040358064, score=0.786945 - 1.3s
[CV] c1=0.2359376373743631, c2=0.039179017178379495 ..................
[CV] c1=0.2359376373743631, c2=0.039179017178379495, score=0.807863 - 1.2s
[CV] c1=0.2953014349078118, c2=0.0012108405088671111 .................
[CV] c1=0.2953014349078118, c2=0.0012108405088671111, score=0.830456 - 1.2s
[CV] c1=0.098397359682104, c2=0.018958226770139863 ...................
[CV] c1=0.098397359682104, c2=0.018958226770139863, score=0.829930 - 1.3s
[CV] c1=0.23305546986968095, c2=0.053519080953157376 .................
[CV] c1=0.23305546986968095, c2=0.053519080953157376, score=0.741087 - 1.4s
[CV] c1=2.333584831476656, c2=0.013244261040358064 ...................
[CV] c1=2.333584831476656, c2=0.013244261040358064, score=0.872107 - 1.3s
[CV] c1=0.2359376373743631, c2=0.039179017178379495 ..................
[CV] c1=0.2359376373743631, c2=0.039179017178379495, score=0.815014 - 1.2s
[CV] c1=0.06034444472286749, c2=0.04518594376646258 ..................
[CV] c1=0.06034444472286749, c2=0.04518594376646258, score=0.845585 - 1.3s
[CV] c1=0.049883149420407336, c2=0.07084188092752734 .................
[CV] c1=0.049883149420407336, c2=0.07084188092752734, score=0.926835 - 1.3s
[CV] c1=0.7592894566389128, c2=0.05514117224596054 ...................
[CV] c1=0.7592894566389128, c2=0.05514117224596054, score=0.727852 - 1.3s
[CV] c1=0.05001865029147576, c2=0.03772187459395407 ..................
[CV] c1=0.05001865029147576, c2=0.03772187459395407, score=0.826784 - 1.2s
[CV] c1=0.2359376373743631, c2=0.039179017178379495 ..................
[CV] c1=0.2359376373743631, c2=0.039179017178379495, score=0.914124 - 1.1s
[CV] c1=0.06034444472286749, c2=0.04518594376646258 ..................
[CV] c1=0.06034444472286749, c2=0.04518594376646258, score=0.835278 - 1.4s
[CV] c1=0.049883149420407336, c2=0.07084188092752734 .................
[CV] c1=0.049883149420407336, c2=0.07084188092752734, score=0.914124 - 1.2s
[CV] c1=0.5134380380315382, c2=0.007750215333905019 ..................
[CV] c1=0.5134380380315382, c2=0.007750215333905019, score=0.789346 - 1.3s
[CV] c1=0.13330184503096318, c2=0.015952382909212963 .................
[CV] c1=0.13330184503096318, c2=0.015952382909212963, score=0.741087 - 1.3s
[CV] c1=0.2359376373743631, c2=0.039179017178379495 ..................
[CV] c1=0.2359376373743631, c2=0.039179017178379495, score=0.741087 - 1.2s
[CV] c1=0.06034444472286749, c2=0.04518594376646258 ..................
[CV] c1=0.06034444472286749, c2=0.04518594376646258, score=0.864170 - 1.3s
[CV] c1=0.049883149420407336, c2=0.07084188092752734 .................
[CV] c1=0.049883149420407336, c2=0.07084188092752734, score=0.888631 - 1.2s
[CV] c1=0.5134380380315382, c2=0.007750215333905019 ..................
[CV] c1=0.5134380380315382, c2=0.007750215333905019, score=0.834890 - 1.3s
[CV] c1=0.13330184503096318, c2=0.015952382909212963 .................
[CV] c1=0.13330184503096318, c2=0.015952382909212963, score=0.860459 - 1.3s
[CV] c1=0.2359376373743631, c2=0.039179017178379495 ..................
[CV] c1=0.2359376373743631, c2=0.039179017178379495, score=0.892261 - 1.1s
[CV] c1=0.06034444472286749, c2=0.04518594376646258 ..................
[CV] c1=0.06034444472286749, c2=0.04518594376646258, score=0.796207 - 1.4s
[CV] c1=0.049883149420407336, c2=0.07084188092752734 .................
[CV] c1=0.049883149420407336, c2=0.07084188092752734, score=0.866858 - 1.3s
[CV] c1=0.5134380380315382, c2=0.007750215333905019 ..................
[CV] c1=0.5134380380315382, c2=0.007750215333905019, score=0.929292 - 1.3s
[CV] c1=0.05001865029147576, c2=0.03772187459395407 ..................
[CV] c1=0.05001865029147576, c2=0.03772187459395407, score=0.864644 - 1.3s
[CV] c1=0.2879622492417609, c2=0.003122804893055269 ..................
[CV] c1=0.2879622492417609, c2=0.003122804893055269, score=0.823109 - 1.0s
[CV] c1=0.2063113369204353, c2=0.15341573930424565 ...................
[CV] c1=0.2063113369204353, c2=0.15341573930424565, score=0.837805 - 1.3s
[CV] c1=0.06894682357962188, c2=0.003142860192667755 .................
[CV] c1=0.06894682357962188, c2=0.003142860192667755, score=0.894860 - 1.2s
[CV] c1=0.7592894566389128, c2=0.05514117224596054 ...................
[CV] c1=0.7592894566389128, c2=0.05514117224596054, score=0.783557 - 1.2s
[CV] c1=0.13330184503096318, c2=0.015952382909212963 .................
[CV] c1=0.13330184503096318, c2=0.015952382909212963, score=0.897553 - 1.3s
[CV] c1=0.2359376373743631, c2=0.039179017178379495 ..................
[CV] c1=0.2359376373743631, c2=0.039179017178379495, score=0.908120 - 1.1s
[CV] c1=0.06034444472286749, c2=0.04518594376646258 ..................
[CV] c1=0.06034444472286749, c2=0.04518594376646258, score=0.919306 - 1.3s
[CV] c1=0.06894682357962188, c2=0.003142860192667755 .................
[CV] c1=0.06894682357962188, c2=0.003142860192667755, score=0.823347 - 1.1s
[CV] c1=0.5134380380315382, c2=0.007750215333905019 ..................
[CV] c1=0.5134380380315382, c2=0.007750215333905019, score=0.860662 - 1.3s
[CV] c1=0.13330184503096318, c2=0.015952382909212963 .................
[CV] c1=0.13330184503096318, c2=0.015952382909212963, score=0.924267 - 1.2s
[CV] c1=0.2359376373743631, c2=0.039179017178379495 ..................
[CV] c1=0.2359376373743631, c2=0.039179017178379495, score=0.794216 - 1.3s
[CV] c1=0.2063113369204353, c2=0.15341573930424565 ...................
[CV] c1=0.2063113369204353, c2=0.15341573930424565, score=0.806663 - 1.4s
[CV] c1=0.06894682357962188, c2=0.003142860192667755 .................
[CV] c1=0.06894682357962188, c2=0.003142860192667755, score=0.858057 - 1.3s
[CV] c1=0.7592894566389128, c2=0.05514117224596054 ...................
[CV] c1=0.7592894566389128, c2=0.05514117224596054, score=0.804464 - 1.4s
[CV] c1=0.05001865029147576, c2=0.03772187459395407 ..................
[CV] c1=0.05001865029147576, c2=0.03772187459395407, score=0.940579 - 1.2s
[CV] c1=0.2879622492417609, c2=0.003122804893055269 ..................
[CV] c1=0.2879622492417609, c2=0.003122804893055269, score=0.741087 - 1.1s
[CV] c1=0.2953014349078118, c2=0.0012108405088671111 .................
[CV] c1=0.2953014349078118, c2=0.0012108405088671111, score=0.855571 - 1.4s
[CV] c1=0.098397359682104, c2=0.018958226770139863 ...................
[CV] c1=0.098397359682104, c2=0.018958226770139863, score=0.845585 - 1.3s
[CV] c1=0.23305546986968095, c2=0.053519080953157376 .................
[CV] c1=0.23305546986968095, c2=0.053519080953157376, score=0.929292 - 1.3s
[CV] c1=0.13330184503096318, c2=0.015952382909212963 .................
[CV] c1=0.13330184503096318, c2=0.015952382909212963, score=0.847686 - 1.4s
[CV] c1=0.2359376373743631, c2=0.039179017178379495 ..................
[CV] c1=0.2359376373743631, c2=0.039179017178379495, score=0.820852 - 1.2s
[CV] c1=0.06034444472286749, c2=0.04518594376646258 ..................
[CV] c1=0.06034444472286749, c2=0.04518594376646258, score=0.927031 - 1.3s
[CV] c1=0.049883149420407336, c2=0.07084188092752734 .................
[CV] c1=0.049883149420407336, c2=0.07084188092752734, score=0.839590 - 1.3s
[CV] c1=0.5134380380315382, c2=0.007750215333905019 ..................
[CV] c1=0.5134380380315382, c2=0.007750215333905019, score=0.904818 - 1.3s
[CV] c1=0.13330184503096318, c2=0.015952382909212963 .................
[CV] c1=0.13330184503096318, c2=0.015952382909212963, score=0.845585 - 1.3s
[CV] c1=0.2879622492417609, c2=0.003122804893055269 ..................
[CV] c1=0.2879622492417609, c2=0.003122804893055269, score=0.807863 - 1.2s
[CV] c1=0.2953014349078118, c2=0.0012108405088671111 .................
[CV] c1=0.2953014349078118, c2=0.0012108405088671111, score=0.741087 - 1.3s
[CV] c1=0.098397359682104, c2=0.018958226770139863 ...................
[CV] c1=0.098397359682104, c2=0.018958226770139863, score=0.768346 - 1.4s
[CV] c1=0.23305546986968095, c2=0.053519080953157376 .................
[CV] c1=0.23305546986968095, c2=0.053519080953157376, score=0.794216 - 1.4s
[CV] c1=2.333584831476656, c2=0.013244261040358064 ...................
[CV] c1=2.333584831476656, c2=0.013244261040358064, score=0.728777 - 1.4s
[CV] c1=0.2359376373743631, c2=0.039179017178379495 ..................
[CV] c1=0.2359376373743631, c2=0.039179017178379495, score=0.860459 - 1.3s
[CV] c1=0.2063113369204353, c2=0.15341573930424565 ...................
[CV] c1=0.2063113369204353, c2=0.15341573930424565, score=0.818942 - 1.3s
[CV] c1=0.06894682357962188, c2=0.003142860192667755 .................
[CV] c1=0.06894682357962188, c2=0.003142860192667755, score=0.840844 - 1.4s
[CV] c1=0.7592894566389128, c2=0.05514117224596054 ...................
[CV] c1=0.7592894566389128, c2=0.05514117224596054, score=0.798293 - 1.2s
[CV] c1=0.05001865029147576, c2=0.03772187459395407 ..................
[CV] c1=0.05001865029147576, c2=0.03772187459395407, score=0.796207 - 1.3s
[CV] c1=0.2879622492417609, c2=0.003122804893055269 ..................
[CV] c1=0.2879622492417609, c2=0.003122804893055269, score=0.855571 - 1.1s
[CV] c1=0.2063113369204353, c2=0.15341573930424565 ...................
[CV] c1=0.2063113369204353, c2=0.15341573930424565, score=0.768346 - 1.4s
[CV] c1=0.06894682357962188, c2=0.003142860192667755 .................
[CV] c1=0.06894682357962188, c2=0.003142860192667755, score=0.892817 - 1.3s
[CV] c1=0.7592894566389128, c2=0.05514117224596054 ...................
[CV] c1=0.7592894566389128, c2=0.05514117224596054, score=0.857689 - 1.3s
[CV] c1=0.05001865029147576, c2=0.03772187459395407 ..................
[CV] c1=0.05001865029147576, c2=0.03772187459395407, score=0.927031 - 1.3s
[CV] c1=0.2879622492417609, c2=0.003122804893055269 ..................
[CV] c1=0.2879622492417609, c2=0.003122804893055269, score=0.896765 - 1.1s
[CV] c1=0.2063113369204353, c2=0.15341573930424565 ...................
[CV] c1=0.2063113369204353, c2=0.15341573930424565, score=0.914573 - 1.2s
[CV] c1=0.049883149420407336, c2=0.07084188092752734 .................
[CV] c1=0.049883149420407336, c2=0.07084188092752734, score=0.845585 - 1.2s
[CV] c1=0.5134380380315382, c2=0.007750215333905019 ..................
[CV] c1=0.5134380380315382, c2=0.007750215333905019, score=0.816050 - 1.4s
[CV] c1=0.05001865029147576, c2=0.03772187459395407 ..................
[CV] c1=0.05001865029147576, c2=0.03772187459395407, score=0.768346 - 1.3s
[CV] c1=0.2879622492417609, c2=0.003122804893055269 ..................
[CV] c1=0.2879622492417609, c2=0.003122804893055269, score=0.857708 - 1.2s
[CV] c1=0.2063113369204353, c2=0.15341573930424565 ...................
[CV] c1=0.2063113369204353, c2=0.15341573930424565, score=0.948580 - 1.4s
[CV] c1=0.06894682357962188, c2=0.003142860192667755 .................
[CV] c1=0.06894682357962188, c2=0.003142860192667755, score=0.935664 - 1.3s
[CV] c1=0.7592894566389128, c2=0.05514117224596054 ...................
[CV] c1=0.7592894566389128, c2=0.05514117224596054, score=0.934521 - 1.3s
[CV] c1=0.05001865029147576, c2=0.03772187459395407 ..................
[CV] c1=0.05001865029147576, c2=0.03772187459395407, score=0.926835 - 1.3s
[CV] c1=0.2879622492417609, c2=0.003122804893055269 ..................
[CV] c1=0.2879622492417609, c2=0.003122804893055269, score=0.830456 - 1.1s
[CV] c1=0.2063113369204353, c2=0.15341573930424565 ...................
[CV] c1=0.2063113369204353, c2=0.15341573930424565, score=0.799176 - 1.3s
[CV] c1=0.06894682357962188, c2=0.003142860192667755 .................
[CV] c1=0.06894682357962188, c2=0.003142860192667755, score=0.822181 - 1.3s
[CV] c1=0.7592894566389128, c2=0.05514117224596054 ...................
[CV] c1=0.7592894566389128, c2=0.05514117224596054, score=0.856309 - 1.3s
[CV] c1=0.05001865029147576, c2=0.03772187459395407 ..................
[CV] c1=0.05001865029147576, c2=0.03772187459395407, score=0.864170 - 1.4s
[CV] c1=0.2879622492417609, c2=0.003122804893055269 ..................
[CV] c1=0.2879622492417609, c2=0.003122804893055269, score=0.923528 - 1.1s
Training done in: 8.470806s
Saving training model...
Saving training model done in: 0.013144s
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Prediction done in: 0.032331s