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January 14, 2014 14:36
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| [1;34m[WARN][0m In file /home/trac/shogun/src/shogun/multiclass/MulticlassStrategy.cpp line 45: MulticlassStrategy::CMulticlassStrategy(): register parameters! | |
| [INFO] | |
| optimization finished, #iter = 2764 | |
| [DEBUG] entering MulticlassLibLinear::apply(DenseFeatures at 0x96a8ab0) | |
| [DEBUG] entering MulticlassLibLinear::apply_multiclass(DenseFeatures at 0x96a8ab0) | |
| [DEBUG] leaving MulticlassLibLinear::apply_multiclass(DenseFeatures at 0x96a8ab0) | |
| [DEBUG] leaving MulticlassLibLinear::apply(DenseFeatures at 0x96a8ab0) | |
| i=0, class=0.000000, | |
| i=1, class=0.000000, | |
| i=2, class=0.000000, | |
| i=3, class=0.000000, | |
| i=4, class=0.000000, | |
| i=5, class=0.000000, | |
| i=6, class=0.000000, | |
| i=7, class=0.000000, | |
| i=8, class=0.000000, | |
| i=9, class=0.000000, | |
| i=10, class=0.000000, | |
| i=11, class=0.000000, | |
| i=12, class=0.000000, | |
| i=13, class=0.000000, | |
| i=14, class=0.000000, | |
| i=15, class=0.000000, | |
| i=16, class=0.000000, | |
| i=17, class=0.000000, | |
| i=18, class=0.000000, | |
| i=19, class=0.000000, | |
| i=20, class=0.000000, | |
| i=21, class=0.000000, | |
| i=22, class=0.000000, | |
| i=23, class=1.000000, | |
| i=24, class=1.000000, | |
| i=25, class=1.000000, | |
| i=26, class=1.000000, | |
| i=27, class=1.000000, | |
| i=28, class=1.000000, | |
| i=29, class=1.000000, | |
| i=30, class=1.000000, | |
| i=31, class=1.000000, | |
| i=32, class=1.000000, | |
| i=33, class=2.000000, | |
| i=34, class=1.000000, | |
| i=35, class=1.000000, | |
| i=36, class=1.000000, | |
| i=37, class=1.000000, | |
| i=38, class=1.000000, | |
| i=39, class=1.000000, | |
| i=40, class=1.000000, | |
| i=41, class=1.000000, | |
| i=42, class=2.000000, | |
| i=43, class=1.000000, | |
| i=44, class=1.000000, | |
| i=45, class=1.000000, | |
| i=46, class=1.000000, | |
| i=47, class=2.000000, | |
| i=48, class=1.000000, | |
| i=49, class=2.000000, | |
| i=50, class=2.000000, | |
| i=51, class=1.000000, | |
| i=52, class=2.000000, | |
| i=53, class=2.000000, | |
| i=54, class=1.000000, | |
| i=55, class=1.000000, | |
| i=56, class=1.000000, | |
| i=57, class=2.000000, | |
| i=58, class=2.000000, | |
| i=59, class=2.000000, | |
| i=60, class=2.000000, | |
| i=61, class=1.000000, | |
| i=62, class=2.000000, | |
| i=63, class=2.000000, | |
| i=64, class=2.000000, | |
| i=65, class=2.000000, | |
| i=66, class=2.000000, | |
| i=67, class=2.000000, | |
| i=68, class=2.000000, | |
| i=69, class=3.000000, | |
| i=70, class=3.000000, | |
| i=71, class=3.000000, | |
| i=72, class=3.000000, | |
| i=73, class=3.000000, | |
| i=74, class=1.000000, | |
| i=75, class=2.000000, | |
| i=76, class=3.000000, | |
| i=77, class=3.000000, | |
| i=78, class=3.000000, | |
| i=79, class=1.000000, | |
| i=80, class=3.000000, | |
| i=81, class=3.000000, | |
| i=82, class=3.000000, | |
| i=83, class=3.000000, | |
| i=84, class=3.000000, | |
| i=85, class=3.000000, | |
| i=86, class=3.000000, | |
| i=87, class=3.000000, | |
| i=88, class=3.000000, | |
| i=89, class=3.000000, | |
| i=90, class=3.000000, | |
| i=91, class=1.000000, | |
| [DEBUG] correct=79, total=92, rejected=0 | |
| training accuracy: 0.858696 | |
| [1;34m[WARN][0m In file /home/trac/shogun/src/shogun/evaluation/CrossValidation.cpp line 188: Confidence interval for Cross-Validation only possible when number of runs is >1, ignoring. | |
| [DEBUG] entering CrossValidation::evaluate() | |
| [1;34m[WARN][0m In file /home/trac/shogun/src/shogun/evaluation/CrossValidation.cpp line 107: MulticlassLibLinear does not support locking. Autolocking is skipped. Set autolock flag to false to get rid of warning. | |
| [DEBUG] starting 1 runs of cross-validation | |
| [DEBUG] entering cross-validation run 0 | |
| [DEBUG] entering CrossValidation::evaluate_one_run() | |
| [DEBUG] building index sets for 5-fold cross-validation | |
| [DEBUG] starting unlocked evaluation | |
| [INFO] doing without cache. | |
| [DEBUG] training set 0: | |
| training indices=[0,1,3,4,6,8,9,11,12,13,14,15,16,17,18,19,21,22,23,24,25,26,27,28,29,31,32,33,34,35,36,37,38,40,41,42,43,46,47,48,50,51,52,54,56,57,58,60,61,62,63,64,66,67,68,69,70,71,72,73,74,76,77,79,81,82,83,85,86,87,88,89,90,91] | |
| [DEBUG] starting training | |
| [INFO] | |
| optimization finished, #iter = 2337 | |
| [DEBUG] finished training | |
| [DEBUG] test set 0: | |
| test indices=[10,7,2,20,5,45,44,39,30,53,49,65,59,55,84,78,75,80] | |
| [DEBUG] starting evaluation | |
| [DEBUG] 0x9939bb0 | |
| [DEBUG] entering MulticlassLibLinear::apply(DenseFeatures at 0x9939bb0) | |
| [DEBUG] entering MulticlassLibLinear::apply_multiclass(DenseFeatures at 0x9939bb0) | |
| [DEBUG] leaving MulticlassLibLinear::apply_multiclass(DenseFeatures at 0x9939bb0) | |
| [DEBUG] leaving MulticlassLibLinear::apply(DenseFeatures at 0x9939bb0) | |
| [DEBUG] finished evaluation | |
| [DEBUG] correct=16, total=18, rejected=0 | |
| [DEBUG] result on fold 0 is 0.888889 | |
| [INFO] doing without cache. | |
| [DEBUG] training set 1: | |
| training indices=[2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,20,25,27,28,29,30,31,32,33,34,35,36,37,39,40,41,42,43,44,45,46,48,49,50,52,53,54,55,57,58,59,60,62,63,64,65,66,68,69,71,72,73,74,75,78,80,81,82,83,84,85,86,87,88,89,91] | |
| [DEBUG] starting training | |
| [INFO] | |
| optimization finished, #iter = 2146 | |
| [DEBUG] finished training | |
| [DEBUG] test set 1: | |
| test indices=[22,0,21,19,1,24,23,38,26,67,47,56,61,51,77,79,76,70,90] | |
| [DEBUG] starting evaluation | |
| [DEBUG] 0xc626700 | |
| [DEBUG] entering MulticlassLibLinear::apply(DenseFeatures at 0xc626700) | |
| [DEBUG] entering MulticlassLibLinear::apply_multiclass(DenseFeatures at 0xc626700) | |
| [DEBUG] leaving MulticlassLibLinear::apply_multiclass(DenseFeatures at 0xc626700) | |
| [DEBUG] leaving MulticlassLibLinear::apply(DenseFeatures at 0xc626700) | |
| [DEBUG] finished evaluation | |
| [DEBUG] correct=14, total=19, rejected=0 | |
| [DEBUG] result on fold 1 is 0.736842 | |
| [INFO] doing without cache. | |
| [DEBUG] training set 2: | |
| training indices=[0,1,2,3,4,5,6,7,8,9,10,13,15,17,18,19,20,21,22,23,24,25,26,27,28,30,31,32,33,34,38,39,41,42,43,44,45,46,47,48,49,51,52,53,54,55,56,59,60,61,64,65,66,67,68,69,70,71,72,75,76,77,78,79,80,81,83,84,86,87,88,89,90,91] | |
| [DEBUG] starting training | |
| [INFO] | |
| optimization finished, #iter = 3806 | |
| [DEBUG] finished training | |
| [DEBUG] test set 2: | |
| test indices=[16,14,11,12,35,36,40,37,29,63,62,57,50,58,74,73,82,85] | |
| [DEBUG] starting evaluation | |
| [DEBUG] 0xc82fe20 | |
| [DEBUG] entering MulticlassLibLinear::apply(DenseFeatures at 0xc82fe20) | |
| [DEBUG] entering MulticlassLibLinear::apply_multiclass(DenseFeatures at 0xc82fe20) | |
| [DEBUG] leaving MulticlassLibLinear::apply_multiclass(DenseFeatures at 0xc82fe20) | |
| [DEBUG] leaving MulticlassLibLinear::apply(DenseFeatures at 0xc82fe20) | |
| [DEBUG] finished evaluation | |
| [DEBUG] correct=17, total=18, rejected=0 | |
| [DEBUG] result on fold 2 is 0.944444 | |
| [INFO] doing without cache. | |
| [DEBUG] training set 3: | |
| training indices=[0,1,2,3,4,5,7,8,10,11,12,14,15,16,17,19,20,21,22,23,24,25,26,29,30,32,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,53,54,55,56,57,58,59,60,61,62,63,65,67,69,70,72,73,74,75,76,77,78,79,80,82,83,84,85,86,87,90] | |
| [DEBUG] starting training | |
| [INFO] | |
| optimization finished, #iter = 1579 | |
| [DEBUG] finished training | |
| [DEBUG] test set 3: | |
| test indices=[13,18,6,9,33,27,34,31,28,52,66,68,64,89,71,91,88,81] | |
| [DEBUG] starting evaluation | |
| [DEBUG] 0xcb1a530 | |
| [DEBUG] entering MulticlassLibLinear::apply(DenseFeatures at 0xcb1a530) | |
| [DEBUG] entering MulticlassLibLinear::apply_multiclass(DenseFeatures at 0xcb1a530) | |
| [DEBUG] leaving MulticlassLibLinear::apply_multiclass(DenseFeatures at 0xcb1a530) | |
| [DEBUG] leaving MulticlassLibLinear::apply(DenseFeatures at 0xcb1a530) | |
| [DEBUG] finished evaluation | |
| [DEBUG] correct=16, total=18, rejected=0 | |
| [DEBUG] result on fold 3 is 0.888889 | |
| [INFO] doing without cache. | |
| [DEBUG] training set 4: | |
| training indices=[0,1,2,5,6,7,9,10,11,12,13,14,16,18,19,20,21,22,23,24,26,27,28,29,30,31,33,34,35,36,37,38,39,40,44,45,47,49,50,51,52,53,55,56,57,58,59,61,62,63,64,65,66,67,68,70,71,73,74,75,76,77,78,79,80,81,82,84,85,88,89,90,91] | |
| [DEBUG] starting training | |
| [INFO] | |
| optimization finished, #iter = 10000 | |
| [INFO] Warning: reaching max number of iterations | |
| [DEBUG] finished training | |
| [DEBUG] test set 4: | |
| test indices=[15,17,3,8,4,41,32,42,43,25,60,54,48,46,87,72,69,86,83] | |
| [DEBUG] starting evaluation | |
| [DEBUG] 0xcca7860 | |
| [DEBUG] entering MulticlassLibLinear::apply(DenseFeatures at 0xcca7860) | |
| [DEBUG] entering MulticlassLibLinear::apply_multiclass(DenseFeatures at 0xcca7860) | |
| [DEBUG] leaving MulticlassLibLinear::apply_multiclass(DenseFeatures at 0xcca7860) | |
| [DEBUG] leaving MulticlassLibLinear::apply(DenseFeatures at 0xcca7860) | |
| [DEBUG] finished evaluation | |
| [DEBUG] correct=14, total=19, rejected=0 | |
| [DEBUG] result on fold 4 is 0.736842 | |
| [DEBUG] done unlocked evaluation | |
| [DEBUG] leaving CrossValidation::evaluate_one_run() | |
| [DEBUG] result of cross-validation run 0 is 0.839181 | |
| [DEBUG] leaving CrossValidation::evaluate() | |
| 0.839181 | |
| [DEBUG] Destroying List 0x992d890 |
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