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modelv8_e201112_p1-12_d12.txt.sgd.txt
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Baseline Training Results
GridSearchCV; cv=3, grid=[{'penalty': ['l2'], 'alpha': [0.0001, 1e-05], 'n_iter': [15], 'loss': ['modified_huber'], 'fit_intercept': [True]}]
Best score 0.999854365397
Best estimator SGDClassifier(alpha=0.0001, average=False, class_weight=None, epsilon=0.1,
eta0=0.0, fit_intercept=True, l1_ratio=0.15,
learning_rate='optimal', loss='modified_huber', n_iter=15, n_jobs=1,
penalty='l2', power_t=0.5, random_state=None, shuffle=True,
verbose=0, warm_start=False)
Best parameters {'n_iter': 15, 'alpha': 0.0001, 'loss': 'modified_huber', 'penalty': 'l2', 'fit_intercept': True}
1.000 (+/-0.000) for {'n_iter': 15, 'alpha': 0.0001, 'loss': 'modified_huber', 'penalty': 'l2', 'fit_intercept': True}
1.000 (+/-0.001) for {'n_iter': 15, 'alpha': 1e-05, 'loss': 'modified_huber', 'penalty': 'l2', 'fit_intercept': True}
SGDClassifier Testing Results
precision recall f1-score support
0 1.00 1.00 1.00 1126
1 1.00 1.00 1.00 2282
avg / total 1.00 1.00 1.00 3408
NC20 2, num 2282, num possible 115, hyper 0.0760701434906
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NC20 0, num 4, num possible 0, hyper nan
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