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emb_kernels.out
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Linear kernel:
Fitting 3 folds for each of 4 candidates, totalling 12 fits
[CV] kernel=linear, C=1 ..............................................
[CV] kernel=linear, C=1 ..............................................
[CV] kernel=linear, C=1 ..............................................
[CV] kernel=linear, C=10 .............................................
[CV] kernel=linear, C=10 .............................................
[CV] kernel=linear, C=10 .............................................
[CV] kernel=linear, C=100 ............................................
[CV] kernel=linear, C=100 ............................................
[CV] kernel=linear, C=100 ............................................
[CV] kernel=linear, C=1000 ...........................................
[CV] kernel=linear, C=1000 ...........................................
[CV] kernel=linear, C=1000 ...........................................
[CV] ............... kernel=linear, C=1, score=0.654382, total= 29.6s
[Parallel(n_jobs=-1)]: Done 1 tasks | elapsed: 43.1s
[CV] .............. kernel=linear, C=10, score=0.643742, total= 31.9s
[CV] .............. kernel=linear, C=10, score=0.646640, total= 32.5s
[Parallel(n_jobs=-1)]: Done 3 out of 12 | elapsed: 44.2s remaining: 2.2min
[CV] ............... kernel=linear, C=1, score=0.650248, total= 30.9s
[CV] .............. kernel=linear, C=10, score=0.639293, total= 32.7s
[Parallel(n_jobs=-1)]: Done 5 out of 12 | elapsed: 44.6s remaining: 1.0min
[CV] ............... kernel=linear, C=1, score=0.648280, total= 32.3s
[CV] ............. kernel=linear, C=100, score=0.640136, total= 47.9s
[Parallel(n_jobs=-1)]: Done 7 out of 12 | elapsed: 55.3s remaining: 39.5s
[CV] ............. kernel=linear, C=100, score=0.633716, total= 48.8s
[CV] ............. kernel=linear, C=100, score=0.638786, total= 49.6s
[Parallel(n_jobs=-1)]: Done 9 out of 12 | elapsed: 57.3s remaining: 19.1s
[CV] ............ kernel=linear, C=1000, score=0.639517, total= 2.3min
[CV] ............ kernel=linear, C=1000, score=0.631856, total= 2.4min
[CV] ............ kernel=linear, C=1000, score=0.639095, total= 2.4min
[Parallel(n_jobs=-1)]: Done 12 out of 12 | elapsed: 2.5min finished
SVC(C=1, cache_size=200, class_weight=None, coef0=0.0,
decision_function_shape=None, degree=3, gamma='auto', kernel='linear',
max_iter=-1, probability=False, random_state=None, shrinking=True,
tol=0.001, verbose=False)
precision recall f1-score support
-1 0.644 0.317 0.424 559
0 0.589 0.844 0.694 1513
1 0.745 0.557 0.637 1475
avg / total 0.662 0.642 0.628 3547
RBF kernel:
Fitting 3 folds for each of 12 candidates, totalling 36 fits
[CV] kernel=rbf, C=1, gamma=0.1 ......................................
[CV] kernel=rbf, C=1, gamma=0.1 ......................................
[CV] kernel=rbf, C=1, gamma=0.1 ......................................
[CV] kernel=rbf, C=1, gamma=0.01 .....................................
[CV] kernel=rbf, C=1, gamma=0.01 .....................................
[CV] kernel=rbf, C=1, gamma=0.01 .....................................
[CV] kernel=rbf, C=1, gamma=0.001 ....................................
[CV] kernel=rbf, C=1, gamma=0.001 ....................................
[CV] kernel=rbf, C=1, gamma=0.001 ....................................
[CV] kernel=rbf, C=10, gamma=0.1 .....................................
[CV] kernel=rbf, C=10, gamma=0.1 .....................................
[CV] kernel=rbf, C=10, gamma=0.1 .....................................
[CV] ...... kernel=rbf, C=10, gamma=0.1, score=0.657993, total= 38.0s
[Parallel(n_jobs=-1)]: Done 1 tasks | elapsed: 57.3s
[CV] kernel=rbf, C=10, gamma=0.01 ....................................
[CV] ...... kernel=rbf, C=10, gamma=0.1, score=0.655407, total= 38.6s
[CV] kernel=rbf, C=10, gamma=0.01 ....................................
[CV] ...... kernel=rbf, C=10, gamma=0.1, score=0.657479, total= 39.2s
[CV] kernel=rbf, C=10, gamma=0.01 ....................................
[CV] ....... kernel=rbf, C=1, gamma=0.1, score=0.634562, total= 42.7s
[CV] kernel=rbf, C=10, gamma=0.001 ...................................
[CV] ....... kernel=rbf, C=1, gamma=0.1, score=0.627208, total= 44.9s
[CV] kernel=rbf, C=10, gamma=0.001 ...................................
[CV] ....... kernel=rbf, C=1, gamma=0.1, score=0.628872, total= 44.3s
[CV] kernel=rbf, C=10, gamma=0.001 ...................................
[CV] ..... kernel=rbf, C=1, gamma=0.001, score=0.473521, total= 50.7s
[CV] kernel=rbf, C=100, gamma=0.1 ....................................
[CV] ...... kernel=rbf, C=1, gamma=0.01, score=0.543680, total= 50.5s
[Parallel(n_jobs=-1)]: Done 8 tasks | elapsed: 1.3min
[CV] ...... kernel=rbf, C=1, gamma=0.01, score=0.538271, total= 51.0s
[CV] kernel=rbf, C=100, gamma=0.1 ....................................
[CV] kernel=rbf, C=100, gamma=0.1 ....................................
[CV] ..... kernel=rbf, C=1, gamma=0.001, score=0.473668, total= 51.8s
[CV] kernel=rbf, C=100, gamma=0.01 ...................................
[CV] ...... kernel=rbf, C=1, gamma=0.01, score=0.548157, total= 51.6s
[CV] kernel=rbf, C=100, gamma=0.01 ...................................
[CV] ..... kernel=rbf, C=1, gamma=0.001, score=0.473505, total= 52.5s
[CV] kernel=rbf, C=100, gamma=0.01 ...................................
[CV] ..... kernel=rbf, C=10, gamma=0.01, score=0.634562, total= 44.4s
[CV] kernel=rbf, C=100, gamma=0.001 ..................................
[CV] ..... kernel=rbf, C=10, gamma=0.01, score=0.627323, total= 45.0s
[CV] kernel=rbf, C=100, gamma=0.001 ..................................
[CV] ..... kernel=rbf, C=10, gamma=0.01, score=0.624729, total= 44.4s
[CV] kernel=rbf, C=100, gamma=0.001 ..................................
[CV] .... kernel=rbf, C=100, gamma=0.01, score=0.652726, total= 37.4s
[CV] kernel=rbf, C=1000, gamma=0.1 ...................................
[CV] .... kernel=rbf, C=100, gamma=0.01, score=0.650139, total= 38.1s
[Parallel(n_jobs=-1)]: Done 17 out of 36 | elapsed: 2.2min remaining: 2.5min
[CV] kernel=rbf, C=1000, gamma=0.1 ...................................
[CV] .... kernel=rbf, C=100, gamma=0.01, score=0.655002, total= 38.5s
[CV] kernel=rbf, C=1000, gamma=0.1 ...................................
[CV] ..... kernel=rbf, C=100, gamma=0.1, score=0.642614, total= 41.5s
[CV] kernel=rbf, C=1000, gamma=0.01 ..................................
[CV] ..... kernel=rbf, C=100, gamma=0.1, score=0.637124, total= 41.5s
[CV] kernel=rbf, C=1000, gamma=0.01 ..................................
[CV] ..... kernel=rbf, C=100, gamma=0.1, score=0.647150, total= 42.1s
[Parallel(n_jobs=-1)]: Done 21 out of 36 | elapsed: 2.3min remaining: 1.6min
[CV] kernel=rbf, C=1000, gamma=0.01 ..................................
[CV] .... kernel=rbf, C=10, gamma=0.001, score=0.548467, total= 50.8s
[CV] kernel=rbf, C=1000, gamma=0.001 .................................
[CV] .... kernel=rbf, C=10, gamma=0.001, score=0.540130, total= 49.6s
[CV] kernel=rbf, C=1000, gamma=0.001 .................................
[CV] .... kernel=rbf, C=10, gamma=0.001, score=0.544610, total= 51.3s
[CV] kernel=rbf, C=1000, gamma=0.001 .................................
[CV] ... kernel=rbf, C=100, gamma=0.001, score=0.636730, total= 42.4s
[Parallel(n_jobs=-1)]: Done 25 out of 36 | elapsed: 3.1min remaining: 1.4min
[CV] ... kernel=rbf, C=100, gamma=0.001, score=0.625155, total= 42.6s
[CV] ... kernel=rbf, C=100, gamma=0.001, score=0.623799, total= 42.8s
[CV] ... kernel=rbf, C=1000, gamma=0.01, score=0.651905, total= 40.7s
[CV] ... kernel=rbf, C=1000, gamma=0.01, score=0.645291, total= 39.8s
[Parallel(n_jobs=-1)]: Done 29 out of 36 | elapsed: 3.2min remaining: 46.1s
[CV] ... kernel=rbf, C=1000, gamma=0.01, score=0.640843, total= 39.5s
[CV] .. kernel=rbf, C=1000, gamma=0.001, score=0.652524, total= 36.0s
[CV] .. kernel=rbf, C=1000, gamma=0.001, score=0.652726, total= 37.0s
[CV] .. kernel=rbf, C=1000, gamma=0.001, score=0.647660, total= 35.9s
[Parallel(n_jobs=-1)]: Done 33 out of 36 | elapsed: 3.2min remaining: 17.5s
[CV] .... kernel=rbf, C=1000, gamma=0.1, score=0.604276, total= 1.0min
[CV] .... kernel=rbf, C=1000, gamma=0.1, score=0.608116, total= 1.0min
[CV] .... kernel=rbf, C=1000, gamma=0.1, score=0.615670, total= 1.1min
[Parallel(n_jobs=-1)]: Done 36 out of 36 | elapsed: 3.4min finished
SVC(C=10, cache_size=200, class_weight=None, coef0=0.0,
decision_function_shape=None, degree=3, gamma=0.1, kernel='rbf',
max_iter=-1, probability=False, random_state=None, shrinking=True,
tol=0.001, verbose=False)
precision recall f1-score support
-1 0.647 0.358 0.461 559
0 0.599 0.843 0.701 1513
1 0.752 0.565 0.645 1475
avg / total 0.670 0.651 0.640 3547