svc_fit_result.txt

Fitting 5 folds for each of 100 candidates, totalling 500 fits
[CV] C=0.1, gamma=1, kernel=linear ...................................
[Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers.
[CV] ....... C=0.1, gamma=1, kernel=linear, score=0.917, total=   2.7s
[CV] C=0.1, gamma=1, kernel=linear ...................................
[Parallel(n_jobs=1)]: Done   1 out of   1 | elapsed:    2.7s remaining:    0.0s
[CV] ....... C=0.1, gamma=1, kernel=linear, score=0.918, total=   2.6s
[CV] C=0.1, gamma=1, kernel=linear ...................................
[Parallel(n_jobs=1)]: Done   2 out of   2 | elapsed:    5.2s remaining:    0.0s
[CV] ....... C=0.1, gamma=1, kernel=linear, score=0.918, total=   2.5s
[CV] C=0.1, gamma=1, kernel=linear ...................................
[CV] ....... C=0.1, gamma=1, kernel=linear, score=0.916, total=   2.5s
[CV] C=0.1, gamma=1, kernel=linear ...................................
[CV] ....... C=0.1, gamma=1, kernel=linear, score=0.918, total=   2.5s
[CV] C=0.1, gamma=1, kernel=poly .....................................
[CV] ......... C=0.1, gamma=1, kernel=poly, score=0.918, total=   7.2s
[CV] C=0.1, gamma=1, kernel=poly .....................................
[CV] ......... C=0.1, gamma=1, kernel=poly, score=0.918, total=   7.3s
[CV] C=0.1, gamma=1, kernel=poly .....................................
[CV] ......... C=0.1, gamma=1, kernel=poly, score=0.919, total=   7.6s
[CV] C=0.1, gamma=1, kernel=poly .....................................
[CV] ......... C=0.1, gamma=1, kernel=poly, score=0.917, total=   7.8s
[CV] C=0.1, gamma=1, kernel=poly .....................................
[CV] ......... C=0.1, gamma=1, kernel=poly, score=0.920, total=   7.8s
[CV] C=0.1, gamma=1, kernel=rbf ......................................
[CV] .......... C=0.1, gamma=1, kernel=rbf, score=0.928, total=   7.0s
[CV] C=0.1, gamma=1, kernel=rbf ......................................
[CV] .......... C=0.1, gamma=1, kernel=rbf, score=0.925, total=   6.9s
[CV] C=0.1, gamma=1, kernel=rbf ......................................
[CV] .......... C=0.1, gamma=1, kernel=rbf, score=0.928, total=   6.9s
[CV] C=0.1, gamma=1, kernel=rbf ......................................
[CV] .......... C=0.1, gamma=1, kernel=rbf, score=0.925, total=   6.8s
[CV] C=0.1, gamma=1, kernel=rbf ......................................
[CV] .......... C=0.1, gamma=1, kernel=rbf, score=0.928, total=   7.1s
[CV] C=0.1, gamma=1, kernel=sigmoid ..................................
[CV] ...... C=0.1, gamma=1, kernel=sigmoid, score=0.922, total=  10.0s
[CV] C=0.1, gamma=1, kernel=sigmoid ..................................
[CV] ...... C=0.1, gamma=1, kernel=sigmoid, score=0.919, total=   9.9s
[CV] C=0.1, gamma=1, kernel=sigmoid ..................................
[CV] ...... C=0.1, gamma=1, kernel=sigmoid, score=0.897, total=  11.6s
[CV] C=0.1, gamma=1, kernel=sigmoid ..................................
[CV] ...... C=0.1, gamma=1, kernel=sigmoid, score=0.920, total=   9.9s
[CV] C=0.1, gamma=1, kernel=sigmoid ..................................
[CV] ...... C=0.1, gamma=1, kernel=sigmoid, score=0.916, total=  10.4s
[CV] C=0.1, gamma=0.1, kernel=linear .................................
[CV] ..... C=0.1, gamma=0.1, kernel=linear, score=0.917, total=   2.5s
[CV] C=0.1, gamma=0.1, kernel=linear .................................
[CV] ..... C=0.1, gamma=0.1, kernel=linear, score=0.918, total=   2.5s
[CV] C=0.1, gamma=0.1, kernel=linear .................................
[CV] ..... C=0.1, gamma=0.1, kernel=linear, score=0.918, total=   2.5s
[CV] C=0.1, gamma=0.1, kernel=linear .................................
[CV] ..... C=0.1, gamma=0.1, kernel=linear, score=0.916, total=   2.5s
[CV] C=0.1, gamma=0.1, kernel=linear .................................
[CV] ..... C=0.1, gamma=0.1, kernel=linear, score=0.918, total=   2.5s
[CV] C=0.1, gamma=0.1, kernel=poly ...................................
[CV] ....... C=0.1, gamma=0.1, kernel=poly, score=0.910, total=   8.1s
[CV] C=0.1, gamma=0.1, kernel=poly ...................................
[CV] ....... C=0.1, gamma=0.1, kernel=poly, score=0.909, total=   8.1s
[CV] C=0.1, gamma=0.1, kernel=poly ...................................
[CV] ....... C=0.1, gamma=0.1, kernel=poly, score=0.911, total=   8.0s
[CV] C=0.1, gamma=0.1, kernel=poly ...................................
[CV] ....... C=0.1, gamma=0.1, kernel=poly, score=0.908, total=   8.1s
[CV] C=0.1, gamma=0.1, kernel=poly ...................................
[CV] ....... C=0.1, gamma=0.1, kernel=poly, score=0.910, total=   8.3s
[CV] C=0.1, gamma=0.1, kernel=rbf ....................................
[CV] ........ C=0.1, gamma=0.1, kernel=rbf, score=0.915, total=   7.9s
[CV] C=0.1, gamma=0.1, kernel=rbf ....................................
[CV] ........ C=0.1, gamma=0.1, kernel=rbf, score=0.915, total=   7.9s
[CV] C=0.1, gamma=0.1, kernel=rbf ....................................
[CV] ........ C=0.1, gamma=0.1, kernel=rbf, score=0.916, total=   7.9s
[CV] C=0.1, gamma=0.1, kernel=rbf ....................................
[CV] ........ C=0.1, gamma=0.1, kernel=rbf, score=0.914, total=   7.7s
[CV] C=0.1, gamma=0.1, kernel=rbf ....................................
[CV] ........ C=0.1, gamma=0.1, kernel=rbf, score=0.916, total=   7.9s
[CV] C=0.1, gamma=0.1, kernel=sigmoid ................................
[CV] .... C=0.1, gamma=0.1, kernel=sigmoid, score=0.915, total=  11.2s
[CV] C=0.1, gamma=0.1, kernel=sigmoid ................................
[CV] .... C=0.1, gamma=0.1, kernel=sigmoid, score=0.915, total=  10.4s
[CV] C=0.1, gamma=0.1, kernel=sigmoid ................................
[CV] .... C=0.1, gamma=0.1, kernel=sigmoid, score=0.915, total=  11.6s
[CV] C=0.1, gamma=0.1, kernel=sigmoid ................................
[CV] .... C=0.1, gamma=0.1, kernel=sigmoid, score=0.913, total=  11.1s
[CV] C=0.1, gamma=0.1, kernel=sigmoid ................................
[CV] .... C=0.1, gamma=0.1, kernel=sigmoid, score=0.916, total=  11.5s
[CV] C=0.1, gamma=0.01, kernel=linear ................................
[CV] .... C=0.1, gamma=0.01, kernel=linear, score=0.917, total=   2.5s
[CV] C=0.1, gamma=0.01, kernel=linear ................................
[CV] .... C=0.1, gamma=0.01, kernel=linear, score=0.918, total=   2.5s
[CV] C=0.1, gamma=0.01, kernel=linear ................................
[CV] .... C=0.1, gamma=0.01, kernel=linear, score=0.918, total=   2.5s
[CV] C=0.1, gamma=0.01, kernel=linear ................................
[CV] .... C=0.1, gamma=0.01, kernel=linear, score=0.916, total=   2.5s
[CV] C=0.1, gamma=0.01, kernel=linear ................................
[CV] .... C=0.1, gamma=0.01, kernel=linear, score=0.918, total=   2.5s
[CV] C=0.1, gamma=0.01, kernel=poly ..................................
[CV] ...... C=0.1, gamma=0.01, kernel=poly, score=0.721, total=  22.4s
[CV] C=0.1, gamma=0.01, kernel=poly ..................................
[CV] ...... C=0.1, gamma=0.01, kernel=poly, score=0.721, total=  22.5s
[CV] C=0.1, gamma=0.01, kernel=poly ..................................
[CV] ...... C=0.1, gamma=0.01, kernel=poly, score=0.721, total=  22.4s
[CV] C=0.1, gamma=0.01, kernel=poly ..................................
[CV] ...... C=0.1, gamma=0.01, kernel=poly, score=0.721, total=  22.5s
[CV] C=0.1, gamma=0.01, kernel=poly ..................................
[CV] ...... C=0.1, gamma=0.01, kernel=poly, score=0.721, total=  22.5s
[CV] C=0.1, gamma=0.01, kernel=rbf ...................................
[CV] ....... C=0.1, gamma=0.01, kernel=rbf, score=0.915, total=  10.5s
[CV] C=0.1, gamma=0.01, kernel=rbf ...................................
[CV] ....... C=0.1, gamma=0.01, kernel=rbf, score=0.915, total=  10.6s
[CV] C=0.1, gamma=0.01, kernel=rbf ...................................
[CV] ....... C=0.1, gamma=0.01, kernel=rbf, score=0.915, total=  10.5s
[CV] C=0.1, gamma=0.01, kernel=rbf ...................................
[CV] ....... C=0.1, gamma=0.01, kernel=rbf, score=0.913, total=  10.5s
[CV] C=0.1, gamma=0.01, kernel=rbf ...................................
[CV] ....... C=0.1, gamma=0.01, kernel=rbf, score=0.915, total=  10.6s
[CV] C=0.1, gamma=0.01, kernel=sigmoid ...............................
[CV] ... C=0.1, gamma=0.01, kernel=sigmoid, score=0.914, total=  12.4s
[CV] C=0.1, gamma=0.01, kernel=sigmoid ...............................
[CV] ... C=0.1, gamma=0.01, kernel=sigmoid, score=0.915, total=  12.4s
[CV] C=0.1, gamma=0.01, kernel=sigmoid ...............................
[CV] ... C=0.1, gamma=0.01, kernel=sigmoid, score=0.915, total=  12.5s
[CV] C=0.1, gamma=0.01, kernel=sigmoid ...............................
[CV] ... C=0.1, gamma=0.01, kernel=sigmoid, score=0.913, total=  12.4s
[CV] C=0.1, gamma=0.01, kernel=sigmoid ...............................
[CV] ... C=0.1, gamma=0.01, kernel=sigmoid, score=0.915, total=  12.5s
[CV] C=0.1, gamma=0.001, kernel=linear ...............................
[CV] ... C=0.1, gamma=0.001, kernel=linear, score=0.917, total=   2.5s
[CV] C=0.1, gamma=0.001, kernel=linear ...............................
[CV] ... C=0.1, gamma=0.001, kernel=linear, score=0.918, total=   2.6s
[CV] C=0.1, gamma=0.001, kernel=linear ...............................
[CV] ... C=0.1, gamma=0.001, kernel=linear, score=0.918, total=   2.5s
[CV] C=0.1, gamma=0.001, kernel=linear ...............................
[CV] ... C=0.1, gamma=0.001, kernel=linear, score=0.916, total=   2.5s
[CV] C=0.1, gamma=0.001, kernel=linear ...............................
[CV] ... C=0.1, gamma=0.001, kernel=linear, score=0.918, total=   2.5s
[CV] C=0.1, gamma=0.001, kernel=poly .................................
[CV] ..... C=0.1, gamma=0.001, kernel=poly, score=0.721, total=  20.6s
[CV] C=0.1, gamma=0.001, kernel=poly .................................
[CV] ..... C=0.1, gamma=0.001, kernel=poly, score=0.721, total=  20.6s
[CV] C=0.1, gamma=0.001, kernel=poly .................................
[CV] ..... C=0.1, gamma=0.001, kernel=poly, score=0.721, total=  20.6s
[CV] C=0.1, gamma=0.001, kernel=poly .................................
[CV] ..... C=0.1, gamma=0.001, kernel=poly, score=0.721, total=  20.6s
[CV] C=0.1, gamma=0.001, kernel=poly .................................
[CV] ..... C=0.1, gamma=0.001, kernel=poly, score=0.721, total=  20.7s
[CV] C=0.1, gamma=0.001, kernel=rbf ..................................
[CV] ...... C=0.1, gamma=0.001, kernel=rbf, score=0.914, total=  24.5s
[CV] C=0.1, gamma=0.001, kernel=rbf ..................................
[CV] ...... C=0.1, gamma=0.001, kernel=rbf, score=0.914, total=  24.6s
[CV] C=0.1, gamma=0.001, kernel=rbf ..................................
[CV] ...... C=0.1, gamma=0.001, kernel=rbf, score=0.915, total=  24.5s
[CV] C=0.1, gamma=0.001, kernel=rbf ..................................
[CV] ...... C=0.1, gamma=0.001, kernel=rbf, score=0.913, total=  24.6s
[CV] C=0.1, gamma=0.001, kernel=rbf ..................................
[CV] ...... C=0.1, gamma=0.001, kernel=rbf, score=0.915, total=  24.7s
[CV] C=0.1, gamma=0.001, kernel=sigmoid ..............................
[CV] .. C=0.1, gamma=0.001, kernel=sigmoid, score=0.914, total=  30.7s
[CV] C=0.1, gamma=0.001, kernel=sigmoid ..............................
[CV] .. C=0.1, gamma=0.001, kernel=sigmoid, score=0.914, total=  30.3s
[CV] C=0.1, gamma=0.001, kernel=sigmoid ..............................
[CV] .. C=0.1, gamma=0.001, kernel=sigmoid, score=0.915, total=  30.5s
[CV] C=0.1, gamma=0.001, kernel=sigmoid ..............................
[CV] .. C=0.1, gamma=0.001, kernel=sigmoid, score=0.913, total=  30.4s
[CV] C=0.1, gamma=0.001, kernel=sigmoid ..............................
[CV] .. C=0.1, gamma=0.001, kernel=sigmoid, score=0.915, total=  30.2s
[CV] C=0.1, gamma=0.0001, kernel=linear ..............................
[CV] .. C=0.1, gamma=0.0001, kernel=linear, score=0.917, total=   2.5s
[CV] C=0.1, gamma=0.0001, kernel=linear ..............................
[CV] .. C=0.1, gamma=0.0001, kernel=linear, score=0.918, total=   2.5s
[CV] C=0.1, gamma=0.0001, kernel=linear ..............................
[CV] .. C=0.1, gamma=0.0001, kernel=linear, score=0.918, total=   2.5s
[CV] C=0.1, gamma=0.0001, kernel=linear ..............................
[CV] .. C=0.1, gamma=0.0001, kernel=linear, score=0.916, total=   2.5s
[CV] C=0.1, gamma=0.0001, kernel=linear ..............................
[CV] .. C=0.1, gamma=0.0001, kernel=linear, score=0.918, total=   2.5s
[CV] C=0.1, gamma=0.0001, kernel=poly ................................
[CV] .... C=0.1, gamma=0.0001, kernel=poly, score=0.721, total=  20.6s
[CV] C=0.1, gamma=0.0001, kernel=poly ................................
[CV] .... C=0.1, gamma=0.0001, kernel=poly, score=0.721, total=  20.5s
[CV] C=0.1, gamma=0.0001, kernel=poly ................................
[CV] .... C=0.1, gamma=0.0001, kernel=poly, score=0.721, total=  20.7s
[CV] C=0.1, gamma=0.0001, kernel=poly ................................
[CV] .... C=0.1, gamma=0.0001, kernel=poly, score=0.721, total=  20.7s
[CV] C=0.1, gamma=0.0001, kernel=poly ................................
[CV] .... C=0.1, gamma=0.0001, kernel=poly, score=0.721, total=  20.8s
[CV] C=0.1, gamma=0.0001, kernel=rbf .................................
[CV] ..... C=0.1, gamma=0.0001, kernel=rbf, score=0.769, total=  46.9s
[CV] C=0.1, gamma=0.0001, kernel=rbf .................................
[CV] ..... C=0.1, gamma=0.0001, kernel=rbf, score=0.772, total=  46.5s
[CV] C=0.1, gamma=0.0001, kernel=rbf .................................
[CV] ..... C=0.1, gamma=0.0001, kernel=rbf, score=0.771, total=  46.6s
[CV] C=0.1, gamma=0.0001, kernel=rbf .................................
[CV] ..... C=0.1, gamma=0.0001, kernel=rbf, score=0.769, total=  46.6s
[CV] C=0.1, gamma=0.0001, kernel=rbf .................................
[CV] ..... C=0.1, gamma=0.0001, kernel=rbf, score=0.767, total=  46.5s
[CV] C=0.1, gamma=0.0001, kernel=sigmoid .............................
[CV] . C=0.1, gamma=0.0001, kernel=sigmoid, score=0.721, total=  48.4s
[CV] C=0.1, gamma=0.0001, kernel=sigmoid .............................
[CV] . C=0.1, gamma=0.0001, kernel=sigmoid, score=0.721, total=  48.9s
[CV] C=0.1, gamma=0.0001, kernel=sigmoid .............................
[CV] . C=0.1, gamma=0.0001, kernel=sigmoid, score=0.721, total=  48.9s
[CV] C=0.1, gamma=0.0001, kernel=sigmoid .............................
[CV] . C=0.1, gamma=0.0001, kernel=sigmoid, score=0.721, total=  48.3s
[CV] C=0.1, gamma=0.0001, kernel=sigmoid .............................
[CV] . C=0.1, gamma=0.0001, kernel=sigmoid, score=0.721, total=  48.4s
[CV] C=1, gamma=1, kernel=linear .....................................
[CV] ......... C=1, gamma=1, kernel=linear, score=0.917, total=   2.6s
[CV] C=1, gamma=1, kernel=linear .....................................
[CV] ......... C=1, gamma=1, kernel=linear, score=0.918, total=   2.7s
[CV] C=1, gamma=1, kernel=linear .....................................
[CV] ......... C=1, gamma=1, kernel=linear, score=0.919, total=   2.6s
[CV] C=1, gamma=1, kernel=linear .....................................
[CV] ......... C=1, gamma=1, kernel=linear, score=0.917, total=   2.7s
[CV] C=1, gamma=1, kernel=linear .....................................
[CV] ......... C=1, gamma=1, kernel=linear, score=0.918, total=   2.6s
[CV] C=1, gamma=1, kernel=poly .......................................
[CV] ........... C=1, gamma=1, kernel=poly, score=0.920, total= 4.3min
[CV] C=1, gamma=1, kernel=poly .......................................
[CV] ........... C=1, gamma=1, kernel=poly, score=0.920, total= 2.9min
[CV] C=1, gamma=1, kernel=poly .......................................
[CV] ........... C=1, gamma=1, kernel=poly, score=0.921, total= 2.0min
[CV] C=1, gamma=1, kernel=poly .......................................
[CV] ........... C=1, gamma=1, kernel=poly, score=0.918, total= 3.1min
[CV] C=1, gamma=1, kernel=poly .......................................
[CV] ........... C=1, gamma=1, kernel=poly, score=0.920, total= 3.3min
[CV] C=1, gamma=1, kernel=rbf ........................................
[CV] ............ C=1, gamma=1, kernel=rbf, score=0.935, total=   6.7s
[CV] C=1, gamma=1, kernel=rbf ........................................
[CV] ............ C=1, gamma=1, kernel=rbf, score=0.930, total=   6.7s
[CV] C=1, gamma=1, kernel=rbf ........................................
[CV] ............ C=1, gamma=1, kernel=rbf, score=0.932, total=   6.7s
[CV] C=1, gamma=1, kernel=rbf ........................................
[CV] ............ C=1, gamma=1, kernel=rbf, score=0.930, total=   6.6s
[CV] C=1, gamma=1, kernel=rbf ........................................
[CV] ............ C=1, gamma=1, kernel=rbf, score=0.933, total=   6.6s
[CV] C=1, gamma=1, kernel=sigmoid ....................................
[CV] ........ C=1, gamma=1, kernel=sigmoid, score=0.904, total=   8.5s
[CV] C=1, gamma=1, kernel=sigmoid ....................................
[CV] ........ C=1, gamma=1, kernel=sigmoid, score=0.904, total=   8.1s
[CV] C=1, gamma=1, kernel=sigmoid ....................................
[CV] ........ C=1, gamma=1, kernel=sigmoid, score=0.891, total=  10.1s
[CV] C=1, gamma=1, kernel=sigmoid ....................................
[CV] ........ C=1, gamma=1, kernel=sigmoid, score=0.909, total=   8.2s
[CV] C=1, gamma=1, kernel=sigmoid ....................................
[CV] ........ C=1, gamma=1, kernel=sigmoid, score=0.909, total=   8.2s
[CV] C=1, gamma=0.1, kernel=linear ...................................
[CV] ....... C=1, gamma=0.1, kernel=linear, score=0.917, total=   2.6s
[CV] C=1, gamma=0.1, kernel=linear ...................................
[CV] ....... C=1, gamma=0.1, kernel=linear, score=0.918, total=   2.6s
[CV] C=1, gamma=0.1, kernel=linear ...................................
[CV] ....... C=1, gamma=0.1, kernel=linear, score=0.919, total=   2.6s
[CV] C=1, gamma=0.1, kernel=linear ...................................
[CV] ....... C=1, gamma=0.1, kernel=linear, score=0.917, total=   2.6s
[CV] C=1, gamma=0.1, kernel=linear ...................................
[CV] ....... C=1, gamma=0.1, kernel=linear, score=0.918, total=   2.6s
[CV] C=1, gamma=0.1, kernel=poly .....................................
[CV] ......... C=1, gamma=0.1, kernel=poly, score=0.913, total=   5.0s
[CV] C=1, gamma=0.1, kernel=poly .....................................
[CV] ......... C=1, gamma=0.1, kernel=poly, score=0.913, total=   5.1s
[CV] C=1, gamma=0.1, kernel=poly .....................................
[CV] ......... C=1, gamma=0.1, kernel=poly, score=0.913, total=   5.0s
[CV] C=1, gamma=0.1, kernel=poly .....................................
[CV] ......... C=1, gamma=0.1, kernel=poly, score=0.912, total=   5.0s
[CV] C=1, gamma=0.1, kernel=poly .....................................
[CV] ......... C=1, gamma=0.1, kernel=poly, score=0.914, total=   5.1s
[CV] C=1, gamma=0.1, kernel=rbf ......................................
[CV] .......... C=1, gamma=0.1, kernel=rbf, score=0.921, total=   7.4s
[CV] C=1, gamma=0.1, kernel=rbf ......................................
[CV] .......... C=1, gamma=0.1, kernel=rbf, score=0.920, total=   7.1s
[CV] C=1, gamma=0.1, kernel=rbf ......................................
[CV] .......... C=1, gamma=0.1, kernel=rbf, score=0.920, total=   7.4s
[CV] C=1, gamma=0.1, kernel=rbf ......................................
[CV] .......... C=1, gamma=0.1, kernel=rbf, score=0.918, total=   7.4s
[CV] C=1, gamma=0.1, kernel=rbf ......................................
[CV] .......... C=1, gamma=0.1, kernel=rbf, score=0.920, total=   7.4s
[CV] C=1, gamma=0.1, kernel=sigmoid ..................................
[CV] ...... C=1, gamma=0.1, kernel=sigmoid, score=0.919, total=   7.7s
[CV] C=1, gamma=0.1, kernel=sigmoid ..................................
[CV] ...... C=1, gamma=0.1, kernel=sigmoid, score=0.914, total=   9.5s
[CV] C=1, gamma=0.1, kernel=sigmoid ..................................
[CV] ...... C=1, gamma=0.1, kernel=sigmoid, score=0.924, total=   7.9s
[CV] C=1, gamma=0.1, kernel=sigmoid ..................................
[CV] ...... C=1, gamma=0.1, kernel=sigmoid, score=0.914, total=  10.4s
[CV] C=1, gamma=0.1, kernel=sigmoid ..................................
[CV] ...... C=1, gamma=0.1, kernel=sigmoid, score=0.918, total=   7.3s
[CV] C=1, gamma=0.01, kernel=linear ..................................
[CV] ...... C=1, gamma=0.01, kernel=linear, score=0.917, total=   2.6s
[CV] C=1, gamma=0.01, kernel=linear ..................................
[CV] ...... C=1, gamma=0.01, kernel=linear, score=0.918, total=   2.7s
[CV] C=1, gamma=0.01, kernel=linear ..................................
[CV] ...... C=1, gamma=0.01, kernel=linear, score=0.919, total=   2.5s
[CV] C=1, gamma=0.01, kernel=linear ..................................
[CV] ...... C=1, gamma=0.01, kernel=linear, score=0.917, total=   2.7s
[CV] C=1, gamma=0.01, kernel=linear ..................................
[CV] ...... C=1, gamma=0.01, kernel=linear, score=0.918, total=   2.6s
[CV] C=1, gamma=0.01, kernel=poly ....................................
[CV] ........ C=1, gamma=0.01, kernel=poly, score=0.733, total=  21.7s
[CV] C=1, gamma=0.01, kernel=poly ....................................
[CV] ........ C=1, gamma=0.01, kernel=poly, score=0.733, total=  21.8s
[CV] C=1, gamma=0.01, kernel=poly ....................................
[CV] ........ C=1, gamma=0.01, kernel=poly, score=0.735, total=  21.8s
[CV] C=1, gamma=0.01, kernel=poly ....................................
[CV] ........ C=1, gamma=0.01, kernel=poly, score=0.732, total=  21.8s
[CV] C=1, gamma=0.01, kernel=poly ....................................
[CV] ........ C=1, gamma=0.01, kernel=poly, score=0.733, total=  21.8s
[CV] C=1, gamma=0.01, kernel=rbf .....................................
[CV] ......... C=1, gamma=0.01, kernel=rbf, score=0.915, total=   7.6s
[CV] C=1, gamma=0.01, kernel=rbf .....................................
[CV] ......... C=1, gamma=0.01, kernel=rbf, score=0.916, total=   8.0s
[CV] C=1, gamma=0.01, kernel=rbf .....................................
[CV] ......... C=1, gamma=0.01, kernel=rbf, score=0.916, total=   7.7s
[CV] C=1, gamma=0.01, kernel=rbf .....................................
[CV] ......... C=1, gamma=0.01, kernel=rbf, score=0.914, total=   7.5s
[CV] C=1, gamma=0.01, kernel=rbf .....................................
[CV] ......... C=1, gamma=0.01, kernel=rbf, score=0.916, total=   7.7s
[CV] C=1, gamma=0.01, kernel=sigmoid .................................
[CV] ..... C=1, gamma=0.01, kernel=sigmoid, score=0.915, total=   9.0s
[CV] C=1, gamma=0.01, kernel=sigmoid .................................
[CV] ..... C=1, gamma=0.01, kernel=sigmoid, score=0.915, total=   9.0s
[CV] C=1, gamma=0.01, kernel=sigmoid .................................
[CV] ..... C=1, gamma=0.01, kernel=sigmoid, score=0.915, total=   9.3s
[CV] C=1, gamma=0.01, kernel=sigmoid .................................
[CV] ..... C=1, gamma=0.01, kernel=sigmoid, score=0.914, total=   9.0s
[CV] C=1, gamma=0.01, kernel=sigmoid .................................
[CV] ..... C=1, gamma=0.01, kernel=sigmoid, score=0.915, total=   9.7s
[CV] C=1, gamma=0.001, kernel=linear .................................
[CV] ..... C=1, gamma=0.001, kernel=linear, score=0.917, total=   2.6s
[CV] C=1, gamma=0.001, kernel=linear .................................
[CV] ..... C=1, gamma=0.001, kernel=linear, score=0.918, total=   2.6s
[CV] C=1, gamma=0.001, kernel=linear .................................
[CV] ..... C=1, gamma=0.001, kernel=linear, score=0.919, total=   2.5s
[CV] C=1, gamma=0.001, kernel=linear .................................
[CV] ..... C=1, gamma=0.001, kernel=linear, score=0.917, total=   2.6s
[CV] C=1, gamma=0.001, kernel=linear .................................
[CV] ..... C=1, gamma=0.001, kernel=linear, score=0.918, total=   2.6s
[CV] C=1, gamma=0.001, kernel=poly ...................................
[CV] ....... C=1, gamma=0.001, kernel=poly, score=0.721, total=  20.6s
[CV] C=1, gamma=0.001, kernel=poly ...................................
[CV] ....... C=1, gamma=0.001, kernel=poly, score=0.721, total=  20.6s
[CV] C=1, gamma=0.001, kernel=poly ...................................
[CV] ....... C=1, gamma=0.001, kernel=poly, score=0.721, total=  20.6s
[CV] C=1, gamma=0.001, kernel=poly ...................................
[CV] ....... C=1, gamma=0.001, kernel=poly, score=0.721, total=  20.5s
[CV] C=1, gamma=0.001, kernel=poly ...................................
[CV] ....... C=1, gamma=0.001, kernel=poly, score=0.721, total=  20.6s
[CV] C=1, gamma=0.001, kernel=rbf ....................................
[CV] ........ C=1, gamma=0.001, kernel=rbf, score=0.915, total=  10.3s
[CV] C=1, gamma=0.001, kernel=rbf ....................................
[CV] ........ C=1, gamma=0.001, kernel=rbf, score=0.915, total=  10.1s
[CV] C=1, gamma=0.001, kernel=rbf ....................................
[CV] ........ C=1, gamma=0.001, kernel=rbf, score=0.915, total=  10.2s
[CV] C=1, gamma=0.001, kernel=rbf ....................................
[CV] ........ C=1, gamma=0.001, kernel=rbf, score=0.913, total=  10.2s
[CV] C=1, gamma=0.001, kernel=rbf ....................................
[CV] ........ C=1, gamma=0.001, kernel=rbf, score=0.915, total=  10.3s
[CV] C=1, gamma=0.001, kernel=sigmoid ................................
[CV] .... C=1, gamma=0.001, kernel=sigmoid, score=0.914, total=  12.4s
[CV] C=1, gamma=0.001, kernel=sigmoid ................................
[CV] .... C=1, gamma=0.001, kernel=sigmoid, score=0.915, total=  12.5s
[CV] C=1, gamma=0.001, kernel=sigmoid ................................
[CV] .... C=1, gamma=0.001, kernel=sigmoid, score=0.915, total=  12.3s
[CV] C=1, gamma=0.001, kernel=sigmoid ................................
[CV] .... C=1, gamma=0.001, kernel=sigmoid, score=0.913, total=  12.3s
[CV] C=1, gamma=0.001, kernel=sigmoid ................................
[CV] .... C=1, gamma=0.001, kernel=sigmoid, score=0.915, total=  12.6s
[CV] C=1, gamma=0.0001, kernel=linear ................................
[CV] .... C=1, gamma=0.0001, kernel=linear, score=0.917, total=   2.6s
[CV] C=1, gamma=0.0001, kernel=linear ................................
[CV] .... C=1, gamma=0.0001, kernel=linear, score=0.918, total=   2.7s
[CV] C=1, gamma=0.0001, kernel=linear ................................
[CV] .... C=1, gamma=0.0001, kernel=linear, score=0.919, total=   2.5s
[CV] C=1, gamma=0.0001, kernel=linear ................................
[CV] .... C=1, gamma=0.0001, kernel=linear, score=0.917, total=   2.6s
[CV] C=1, gamma=0.0001, kernel=linear ................................
[CV] .... C=1, gamma=0.0001, kernel=linear, score=0.918, total=   2.6s
[CV] C=1, gamma=0.0001, kernel=poly ..................................
[CV] ...... C=1, gamma=0.0001, kernel=poly, score=0.721, total=  20.6s
[CV] C=1, gamma=0.0001, kernel=poly ..................................
[CV] ...... C=1, gamma=0.0001, kernel=poly, score=0.721, total=  20.5s
[CV] C=1, gamma=0.0001, kernel=poly ..................................
[CV] ...... C=1, gamma=0.0001, kernel=poly, score=0.721, total=  20.7s
[CV] C=1, gamma=0.0001, kernel=poly ..................................
[CV] ...... C=1, gamma=0.0001, kernel=poly, score=0.721, total=  20.6s
[CV] C=1, gamma=0.0001, kernel=poly ..................................
[CV] ...... C=1, gamma=0.0001, kernel=poly, score=0.721, total=  20.5s
[CV] C=1, gamma=0.0001, kernel=rbf ...................................
[CV] ....... C=1, gamma=0.0001, kernel=rbf, score=0.914, total=  24.0s
[CV] C=1, gamma=0.0001, kernel=rbf ...................................
[CV] ....... C=1, gamma=0.0001, kernel=rbf, score=0.914, total=  24.2s
[CV] C=1, gamma=0.0001, kernel=rbf ...................................
[CV] ....... C=1, gamma=0.0001, kernel=rbf, score=0.915, total=  24.3s
[CV] C=1, gamma=0.0001, kernel=rbf ...................................
[CV] ....... C=1, gamma=0.0001, kernel=rbf, score=0.913, total=  23.9s
[CV] C=1, gamma=0.0001, kernel=rbf ...................................
[CV] ....... C=1, gamma=0.0001, kernel=rbf, score=0.915, total=  24.1s
[CV] C=1, gamma=0.0001, kernel=sigmoid ...............................
[CV] ... C=1, gamma=0.0001, kernel=sigmoid, score=0.914, total=  30.1s
[CV] C=1, gamma=0.0001, kernel=sigmoid ...............................
[CV] ... C=1, gamma=0.0001, kernel=sigmoid, score=0.914, total=  30.0s
[CV] C=1, gamma=0.0001, kernel=sigmoid ...............................
[CV] ... C=1, gamma=0.0001, kernel=sigmoid, score=0.915, total=  30.0s
[CV] C=1, gamma=0.0001, kernel=sigmoid ...............................
[CV] ... C=1, gamma=0.0001, kernel=sigmoid, score=0.913, total=  29.8s
[CV] C=1, gamma=0.0001, kernel=sigmoid ...............................
[CV] ... C=1, gamma=0.0001, kernel=sigmoid, score=0.915, total=  30.1s
[CV] C=10, gamma=1, kernel=linear ....................................
[CV] ........ C=10, gamma=1, kernel=linear, score=0.917, total=  11.3s
[CV] C=10, gamma=1, kernel=linear ....................................
[CV] ........ C=10, gamma=1, kernel=linear, score=0.918, total=   5.6s
[CV] C=10, gamma=1, kernel=linear ....................................
[CV] ........ C=10, gamma=1, kernel=linear, score=0.919, total=   5.1s
[CV] C=10, gamma=1, kernel=linear ....................................
[CV] ........ C=10, gamma=1, kernel=linear, score=0.918, total=   6.3s
[CV] C=10, gamma=1, kernel=linear ....................................
[CV] ........ C=10, gamma=1, kernel=linear, score=0.918, total=   5.3s
[CV] C=10, gamma=1, kernel=poly ......................................
[CV] .......... C=10, gamma=1, kernel=poly, score=0.920, total= 8.0min
[CV] C=10, gamma=1, kernel=poly ......................................
[CV] .......... C=10, gamma=1, kernel=poly, score=0.920, total= 6.7min
[CV] C=10, gamma=1, kernel=poly ......................................
[CV] .......... C=10, gamma=1, kernel=poly, score=0.922, total= 6.5min
[CV] C=10, gamma=1, kernel=poly ......................................
[CV] .......... C=10, gamma=1, kernel=poly, score=0.919, total= 8.1min
[CV] C=10, gamma=1, kernel=poly ......................................
[CV] .......... C=10, gamma=1, kernel=poly, score=0.920, total= 7.9min
[CV] C=10, gamma=1, kernel=rbf .......................................
[CV] ........... C=10, gamma=1, kernel=rbf, score=0.939, total=   7.7s
[CV] C=10, gamma=1, kernel=rbf .......................................
[CV] ........... C=10, gamma=1, kernel=rbf, score=0.934, total=   7.4s
[CV] C=10, gamma=1, kernel=rbf .......................................
[CV] ........... C=10, gamma=1, kernel=rbf, score=0.936, total=   7.8s
[CV] C=10, gamma=1, kernel=rbf .......................................
[CV] ........... C=10, gamma=1, kernel=rbf, score=0.936, total=   7.9s
[CV] C=10, gamma=1, kernel=rbf .......................................
[CV] ........... C=10, gamma=1, kernel=rbf, score=0.936, total=   7.7s
[CV] C=10, gamma=1, kernel=sigmoid ...................................
[CV] ....... C=10, gamma=1, kernel=sigmoid, score=0.905, total=   8.1s
[CV] C=10, gamma=1, kernel=sigmoid ...................................
[CV] ....... C=10, gamma=1, kernel=sigmoid, score=0.902, total=   7.9s
[CV] C=10, gamma=1, kernel=sigmoid ...................................
[CV] ....... C=10, gamma=1, kernel=sigmoid, score=0.890, total=   9.8s
[CV] C=10, gamma=1, kernel=sigmoid ...................................
[CV] ....... C=10, gamma=1, kernel=sigmoid, score=0.907, total=   8.1s
[CV] C=10, gamma=1, kernel=sigmoid ...................................
[CV] ....... C=10, gamma=1, kernel=sigmoid, score=0.907, total=   8.1s
[CV] C=10, gamma=0.1, kernel=linear ..................................
[CV] ...... C=10, gamma=0.1, kernel=linear, score=0.917, total=  11.4s
[CV] C=10, gamma=0.1, kernel=linear ..................................
[CV] ...... C=10, gamma=0.1, kernel=linear, score=0.918, total=   5.6s
[CV] C=10, gamma=0.1, kernel=linear ..................................
[CV] ...... C=10, gamma=0.1, kernel=linear, score=0.919, total=   5.1s
[CV] C=10, gamma=0.1, kernel=linear ..................................
[CV] ...... C=10, gamma=0.1, kernel=linear, score=0.918, total=   6.3s
[CV] C=10, gamma=0.1, kernel=linear ..................................
[CV] ...... C=10, gamma=0.1, kernel=linear, score=0.918, total=   5.3s
[CV] C=10, gamma=0.1, kernel=poly ....................................
[CV] ........ C=10, gamma=0.1, kernel=poly, score=0.916, total=   4.9s
[CV] C=10, gamma=0.1, kernel=poly ....................................
[CV] ........ C=10, gamma=0.1, kernel=poly, score=0.917, total=   4.7s
[CV] C=10, gamma=0.1, kernel=poly ....................................
[CV] ........ C=10, gamma=0.1, kernel=poly, score=0.917, total=   5.0s
[CV] C=10, gamma=0.1, kernel=poly ....................................
[CV] ........ C=10, gamma=0.1, kernel=poly, score=0.914, total=   5.0s
[CV] C=10, gamma=0.1, kernel=poly ....................................
[CV] ........ C=10, gamma=0.1, kernel=poly, score=0.917, total=   5.3s
[CV] C=10, gamma=0.1, kernel=rbf .....................................
[CV] ......... C=10, gamma=0.1, kernel=rbf, score=0.927, total=   7.5s
[CV] C=10, gamma=0.1, kernel=rbf .....................................
[CV] ......... C=10, gamma=0.1, kernel=rbf, score=0.923, total=   7.6s
[CV] C=10, gamma=0.1, kernel=rbf .....................................
[CV] ......... C=10, gamma=0.1, kernel=rbf, score=0.926, total=   7.4s
[CV] C=10, gamma=0.1, kernel=rbf .....................................
[CV] ......... C=10, gamma=0.1, kernel=rbf, score=0.924, total=   7.5s
[CV] C=10, gamma=0.1, kernel=rbf .....................................
[CV] ......... C=10, gamma=0.1, kernel=rbf, score=0.926, total=   7.6s
[CV] C=10, gamma=0.1, kernel=sigmoid .................................
[CV] ..... C=10, gamma=0.1, kernel=sigmoid, score=0.912, total=   6.0s
[CV] C=10, gamma=0.1, kernel=sigmoid .................................
[CV] ..... C=10, gamma=0.1, kernel=sigmoid, score=0.910, total=   5.4s
[CV] C=10, gamma=0.1, kernel=sigmoid .................................
[CV] ..... C=10, gamma=0.1, kernel=sigmoid, score=0.912, total=   6.0s
[CV] C=10, gamma=0.1, kernel=sigmoid .................................
[CV] ..... C=10, gamma=0.1, kernel=sigmoid, score=0.897, total=   6.9s
[CV] C=10, gamma=0.1, kernel=sigmoid .................................
[CV] ..... C=10, gamma=0.1, kernel=sigmoid, score=0.912, total=   5.6s
[CV] C=10, gamma=0.01, kernel=linear .................................
[CV] ..... C=10, gamma=0.01, kernel=linear, score=0.917, total=  11.4s
[CV] C=10, gamma=0.01, kernel=linear .................................
[CV] ..... C=10, gamma=0.01, kernel=linear, score=0.918, total=   5.7s
[CV] C=10, gamma=0.01, kernel=linear .................................
[CV] ..... C=10, gamma=0.01, kernel=linear, score=0.919, total=   5.1s
[CV] C=10, gamma=0.01, kernel=linear .................................
[CV] ..... C=10, gamma=0.01, kernel=linear, score=0.918, total=   6.3s
[CV] C=10, gamma=0.01, kernel=linear .................................
[CV] ..... C=10, gamma=0.01, kernel=linear, score=0.918, total=   5.3s
[CV] C=10, gamma=0.01, kernel=poly ...................................
[CV] ....... C=10, gamma=0.01, kernel=poly, score=0.893, total=  14.8s
[CV] C=10, gamma=0.01, kernel=poly ...................................
[CV] ....... C=10, gamma=0.01, kernel=poly, score=0.893, total=  15.1s
[CV] C=10, gamma=0.01, kernel=poly ...................................
[CV] ....... C=10, gamma=0.01, kernel=poly, score=0.894, total=  15.1s
[CV] C=10, gamma=0.01, kernel=poly ...................................
[CV] ....... C=10, gamma=0.01, kernel=poly, score=0.889, total=  15.0s
[CV] C=10, gamma=0.01, kernel=poly ...................................
[CV] ....... C=10, gamma=0.01, kernel=poly, score=0.894, total=  15.0s
[CV] C=10, gamma=0.01, kernel=rbf ....................................
[CV] ........ C=10, gamma=0.01, kernel=rbf, score=0.917, total=   8.2s
[CV] C=10, gamma=0.01, kernel=rbf ....................................
[CV] ........ C=10, gamma=0.01, kernel=rbf, score=0.918, total=   7.6s
[CV] C=10, gamma=0.01, kernel=rbf ....................................
[CV] ........ C=10, gamma=0.01, kernel=rbf, score=0.919, total=   7.7s
[CV] C=10, gamma=0.01, kernel=rbf ....................................
[CV] ........ C=10, gamma=0.01, kernel=rbf, score=0.917, total=   7.6s
[CV] C=10, gamma=0.01, kernel=rbf ....................................
[CV] ........ C=10, gamma=0.01, kernel=rbf, score=0.918, total=   8.0s
[CV] C=10, gamma=0.01, kernel=sigmoid ................................
[CV] .... C=10, gamma=0.01, kernel=sigmoid, score=0.917, total=   9.7s
[CV] C=10, gamma=0.01, kernel=sigmoid ................................
[CV] .... C=10, gamma=0.01, kernel=sigmoid, score=0.918, total=   9.4s
[CV] C=10, gamma=0.01, kernel=sigmoid ................................
[CV] .... C=10, gamma=0.01, kernel=sigmoid, score=0.918, total=  10.5s
[CV] C=10, gamma=0.01, kernel=sigmoid ................................
[CV] .... C=10, gamma=0.01, kernel=sigmoid, score=0.916, total=   9.6s
[CV] C=10, gamma=0.01, kernel=sigmoid ................................
[CV] .... C=10, gamma=0.01, kernel=sigmoid, score=0.918, total=  10.3s
[CV] C=10, gamma=0.001, kernel=linear ................................
[CV] .... C=10, gamma=0.001, kernel=linear, score=0.917, total=  11.5s
[CV] C=10, gamma=0.001, kernel=linear ................................
[CV] .... C=10, gamma=0.001, kernel=linear, score=0.918, total=   5.6s
[CV] C=10, gamma=0.001, kernel=linear ................................
[CV] .... C=10, gamma=0.001, kernel=linear, score=0.919, total=   5.1s
[CV] C=10, gamma=0.001, kernel=linear ................................
[CV] .... C=10, gamma=0.001, kernel=linear, score=0.918, total=   6.4s
[CV] C=10, gamma=0.001, kernel=linear ................................
[CV] .... C=10, gamma=0.001, kernel=linear, score=0.918, total=   5.3s
[CV] C=10, gamma=0.001, kernel=poly ..................................
[CV] ...... C=10, gamma=0.001, kernel=poly, score=0.721, total=  21.9s
[CV] C=10, gamma=0.001, kernel=poly ..................................
[CV] ...... C=10, gamma=0.001, kernel=poly, score=0.721, total=  21.8s
[CV] C=10, gamma=0.001, kernel=poly ..................................
[CV] ...... C=10, gamma=0.001, kernel=poly, score=0.721, total=  21.8s
[CV] C=10, gamma=0.001, kernel=poly ..................................
[CV] ...... C=10, gamma=0.001, kernel=poly, score=0.721, total=  21.6s
[CV] C=10, gamma=0.001, kernel=poly ..................................
[CV] ...... C=10, gamma=0.001, kernel=poly, score=0.721, total=  21.7s
[CV] C=10, gamma=0.001, kernel=rbf ...................................
[CV] ....... C=10, gamma=0.001, kernel=rbf, score=0.915, total=   7.8s
[CV] C=10, gamma=0.001, kernel=rbf ...................................
[CV] ....... C=10, gamma=0.001, kernel=rbf, score=0.916, total=   7.7s
[CV] C=10, gamma=0.001, kernel=rbf ...................................
[CV] ....... C=10, gamma=0.001, kernel=rbf, score=0.915, total=   7.9s
[CV] C=10, gamma=0.001, kernel=rbf ...................................
[CV] ....... C=10, gamma=0.001, kernel=rbf, score=0.914, total=   7.6s
[CV] C=10, gamma=0.001, kernel=rbf ...................................
[CV] ....... C=10, gamma=0.001, kernel=rbf, score=0.916, total=   7.9s
[CV] C=10, gamma=0.001, kernel=sigmoid ...............................
[CV] ... C=10, gamma=0.001, kernel=sigmoid, score=0.915, total=   7.4s
[CV] C=10, gamma=0.001, kernel=sigmoid ...............................
[CV] ... C=10, gamma=0.001, kernel=sigmoid, score=0.915, total=   7.4s
[CV] C=10, gamma=0.001, kernel=sigmoid ...............................
[CV] ... C=10, gamma=0.001, kernel=sigmoid, score=0.915, total=   7.3s
[CV] C=10, gamma=0.001, kernel=sigmoid ...............................
[CV] ... C=10, gamma=0.001, kernel=sigmoid, score=0.914, total=   7.3s
[CV] C=10, gamma=0.001, kernel=sigmoid ...............................
[CV] ... C=10, gamma=0.001, kernel=sigmoid, score=0.915, total=   7.4s
[CV] C=10, gamma=0.0001, kernel=linear ...............................
[CV] ... C=10, gamma=0.0001, kernel=linear, score=0.917, total=  11.4s
[CV] C=10, gamma=0.0001, kernel=linear ...............................
[CV] ... C=10, gamma=0.0001, kernel=linear, score=0.918, total=   5.6s
[CV] C=10, gamma=0.0001, kernel=linear ...............................
[CV] ... C=10, gamma=0.0001, kernel=linear, score=0.919, total=   5.1s
[CV] C=10, gamma=0.0001, kernel=linear ...............................
[CV] ... C=10, gamma=0.0001, kernel=linear, score=0.918, total=   6.4s
[CV] C=10, gamma=0.0001, kernel=linear ...............................
[CV] ... C=10, gamma=0.0001, kernel=linear, score=0.918, total=   5.3s
[CV] C=10, gamma=0.0001, kernel=poly .................................
[CV] ..... C=10, gamma=0.0001, kernel=poly, score=0.721, total=  20.6s
[CV] C=10, gamma=0.0001, kernel=poly .................................
[CV] ..... C=10, gamma=0.0001, kernel=poly, score=0.721, total=  20.7s
[CV] C=10, gamma=0.0001, kernel=poly .................................
[CV] ..... C=10, gamma=0.0001, kernel=poly, score=0.721, total=  20.7s
[CV] C=10, gamma=0.0001, kernel=poly .................................
[CV] ..... C=10, gamma=0.0001, kernel=poly, score=0.721, total=  20.6s
[CV] C=10, gamma=0.0001, kernel=poly .................................
[CV] ..... C=10, gamma=0.0001, kernel=poly, score=0.721, total=  20.6s
[CV] C=10, gamma=0.0001, kernel=rbf ..................................
[CV] ...... C=10, gamma=0.0001, kernel=rbf, score=0.915, total=  10.1s
[CV] C=10, gamma=0.0001, kernel=rbf ..................................
[CV] ...... C=10, gamma=0.0001, kernel=rbf, score=0.915, total=  10.3s
[CV] C=10, gamma=0.0001, kernel=rbf ..................................
[CV] ...... C=10, gamma=0.0001, kernel=rbf, score=0.915, total=  10.3s
[CV] C=10, gamma=0.0001, kernel=rbf ..................................
[CV] ...... C=10, gamma=0.0001, kernel=rbf, score=0.913, total=   9.9s
[CV] C=10, gamma=0.0001, kernel=rbf ..................................
[CV] ...... C=10, gamma=0.0001, kernel=rbf, score=0.915, total=  10.1s
[CV] C=10, gamma=0.0001, kernel=sigmoid ..............................
[CV] .. C=10, gamma=0.0001, kernel=sigmoid, score=0.914, total=  12.4s
[CV] C=10, gamma=0.0001, kernel=sigmoid ..............................
[CV] .. C=10, gamma=0.0001, kernel=sigmoid, score=0.915, total=  12.4s
[CV] C=10, gamma=0.0001, kernel=sigmoid ..............................
[CV] .. C=10, gamma=0.0001, kernel=sigmoid, score=0.915, total=  12.4s
[CV] C=10, gamma=0.0001, kernel=sigmoid ..............................
[CV] .. C=10, gamma=0.0001, kernel=sigmoid, score=0.913, total=  12.3s
[CV] C=10, gamma=0.0001, kernel=sigmoid ..............................
[CV] .. C=10, gamma=0.0001, kernel=sigmoid, score=0.915, total=  12.5s
[CV] C=100, gamma=1, kernel=linear ...................................
[CV] ....... C=100, gamma=1, kernel=linear, score=0.917, total= 6.0min
[CV] C=100, gamma=1, kernel=linear ...................................
[CV] ....... C=100, gamma=1, kernel=linear, score=0.918, total= 5.1min
[CV] C=100, gamma=1, kernel=linear ...................................
[CV] ....... C=100, gamma=1, kernel=linear, score=0.919, total= 6.1min
[CV] C=100, gamma=1, kernel=linear ...................................
[CV] ....... C=100, gamma=1, kernel=linear, score=0.918, total= 5.4min
[CV] C=100, gamma=1, kernel=linear ...................................
[CV] ....... C=100, gamma=1, kernel=linear, score=0.918, total= 6.3min
[CV] C=100, gamma=1, kernel=poly .....................................
[CV] ......... C=100, gamma=1, kernel=poly, score=0.921, total=16.5min
[CV] C=100, gamma=1, kernel=poly .....................................
[CV] ......... C=100, gamma=1, kernel=poly, score=0.920, total=14.8min
[CV] C=100, gamma=1, kernel=poly .....................................
[CV] ......... C=100, gamma=1, kernel=poly, score=0.922, total=13.0min
[CV] C=100, gamma=1, kernel=poly .....................................
[CV] ......... C=100, gamma=1, kernel=poly, score=0.920, total=14.0min
[CV] C=100, gamma=1, kernel=poly .....................................