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Pushing the docs for revision for branch: master, commit b444cc9c6457590b33b365185b3eafb0d312b9be
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‎dev/_sources/auto_examples/applications/plot_model_complexity_influence.txt

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learning_rate='optimal', loss='modified_huber', n_iter=5, n_jobs=1,
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penalty='elasticnet', power_t=0.5, random_state=None, shuffle=True,
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verbose=0, warm_start=False)
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Complexity: 4454 | Hamming Loss (Misclassification Ratio): 0.2501 | Pred. Time: 0.027895s
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Complexity: 4454 | Hamming Loss (Misclassification Ratio): 0.2501 | Pred. Time: 0.028841s
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Benchmarking SGDClassifier(alpha=0.001, average=False, class_weight=None, epsilon=0.1,
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eta0=0.0, fit_intercept=True, l1_ratio=0.5, learning_rate='optimal',
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loss='modified_huber', n_iter=5, n_jobs=1, penalty='elasticnet',
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power_t=0.5, random_state=None, shuffle=True, verbose=0,
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warm_start=False)
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Complexity: 1624 | Hamming Loss (Misclassification Ratio): 0.2923 | Pred. Time: 0.020745s
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Complexity: 1624 | Hamming Loss (Misclassification Ratio): 0.2923 | Pred. Time: 0.020681s
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Benchmarking SGDClassifier(alpha=0.001, average=False, class_weight=None, epsilon=0.1,
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eta0=0.0, fit_intercept=True, l1_ratio=0.75,
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learning_rate='optimal', loss='modified_huber', n_iter=5, n_jobs=1,
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penalty='elasticnet', power_t=0.5, random_state=None, shuffle=True,
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verbose=0, warm_start=False)
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Complexity: 873 | Hamming Loss (Misclassification Ratio): 0.3191 | Pred. Time: 0.017691s
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Complexity: 873 | Hamming Loss (Misclassification Ratio): 0.3191 | Pred. Time: 0.017044s
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Benchmarking SGDClassifier(alpha=0.001, average=False, class_weight=None, epsilon=0.1,
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eta0=0.0, fit_intercept=True, l1_ratio=0.9, learning_rate='optimal',
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loss='modified_huber', n_iter=5, n_jobs=1, penalty='elasticnet',
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power_t=0.5, random_state=None, shuffle=True, verbose=0,
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warm_start=False)
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Complexity: 655 | Hamming Loss (Misclassification Ratio): 0.3252 | Pred. Time: 0.014569s
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Complexity: 655 | Hamming Loss (Misclassification Ratio): 0.3252 | Pred. Time: 0.015608s
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Benchmarking NuSVR(C=1000.0, cache_size=200, coef0=0.0, degree=3, gamma=3.0517578125e-05,
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kernel='rbf', max_iter=-1, nu=0.1, shrinking=True, tol=0.001,
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verbose=False)
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Complexity: 69 | MSE: 31.8133 | Pred. Time: 0.000404s
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Complexity: 69 | MSE: 31.8133 | Pred. Time: 0.000388s
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Benchmarking NuSVR(C=1000.0, cache_size=200, coef0=0.0, degree=3, gamma=3.0517578125e-05,
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kernel='rbf', max_iter=-1, nu=0.25, shrinking=True, tol=0.001,
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verbose=False)
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Complexity: 136 | MSE: 25.6140 | Pred. Time: 0.000727s
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Complexity: 136 | MSE: 25.6140 | Pred. Time: 0.000690s
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Benchmarking NuSVR(C=1000.0, cache_size=200, coef0=0.0, degree=3, gamma=3.0517578125e-05,
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kernel='rbf', max_iter=-1, nu=0.5, shrinking=True, tol=0.001,
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verbose=False)
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Complexity: 243 | MSE: 22.3315 | Pred. Time: 0.001237s
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Complexity: 243 | MSE: 22.3315 | Pred. Time: 0.001183s
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Benchmarking NuSVR(C=1000.0, cache_size=200, coef0=0.0, degree=3, gamma=3.0517578125e-05,
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kernel='rbf', max_iter=-1, nu=0.75, shrinking=True, tol=0.001,
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verbose=False)
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Complexity: 350 | MSE: 21.3679 | Pred. Time: 0.001742s
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Complexity: 350 | MSE: 21.3679 | Pred. Time: 0.001672s
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Benchmarking NuSVR(C=1000.0, cache_size=200, coef0=0.0, degree=3, gamma=3.0517578125e-05,
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kernel='rbf', max_iter=-1, nu=0.9, shrinking=True, tol=0.001,
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verbose=False)
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Complexity: 404 | MSE: 21.0915 | Pred. Time: 0.002019s
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Complexity: 404 | MSE: 21.0915 | Pred. Time: 0.001950s
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Benchmarking GradientBoostingRegressor(alpha=0.9, criterion='friedman_mse', init=None,
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learning_rate=0.1, loss='ls', max_depth=3, max_features=None,
@@ -288,7 +288,7 @@ main code
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min_samples_leaf=1, min_samples_split=2,
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min_weight_fraction_leaf=0.0, n_estimators=50, presort='auto',
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random_state=None, subsample=1.0, verbose=0, warm_start=False)
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Complexity: 50 | MSE: 8.3398 | Pred. Time: 0.000201s
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Complexity: 50 | MSE: 8.3398 | Pred. Time: 0.000206s
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Benchmarking GradientBoostingRegressor(alpha=0.9, criterion='friedman_mse', init=None,
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learning_rate=0.1, loss='ls', max_depth=3, max_features=None,
@@ -297,7 +297,7 @@ main code
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min_weight_fraction_leaf=0.0, n_estimators=100,
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presort='auto', random_state=None, subsample=1.0, verbose=0,
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warm_start=False)
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Complexity: 100 | MSE: 7.0096 | Pred. Time: 0.000287s
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Complexity: 100 | MSE: 7.0096 | Pred. Time: 0.000290s
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Benchmarking GradientBoostingRegressor(alpha=0.9, criterion='friedman_mse', init=None,
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learning_rate=0.1, loss='ls', max_depth=3, max_features=None,
@@ -306,7 +306,7 @@ main code
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min_weight_fraction_leaf=0.0, n_estimators=200,
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presort='auto', random_state=None, subsample=1.0, verbose=0,
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warm_start=False)
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Complexity: 200 | MSE: 6.1836 | Pred. Time: 0.000453s
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Complexity: 200 | MSE: 6.1836 | Pred. Time: 0.000454s
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Benchmarking GradientBoostingRegressor(alpha=0.9, criterion='friedman_mse', init=None,
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learning_rate=0.1, loss='ls', max_depth=3, max_features=None,
@@ -315,10 +315,10 @@ main code
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min_weight_fraction_leaf=0.0, n_estimators=500,
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presort='auto', random_state=None, subsample=1.0, verbose=0,
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warm_start=False)
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Complexity: 500 | MSE: 6.3426 | Pred. Time: 0.000990s
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Complexity: 500 | MSE: 6.3426 | Pred. Time: 0.000988s
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‎dev/_sources/auto_examples/applications/plot_out_of_core_classification.txt

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Out::
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Test set is 878 documents (108 positive)
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Passive-Aggressive classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.913 in 1.84s (522 docs/s)
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Perceptron classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.921 in 1.85s (520 docs/s)
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SGD classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.925 in 1.85s (519 docs/s)
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NB Multinomial classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.877 in 1.89s (509 docs/s)
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Passive-Aggressive classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.913 in 1.85s (519 docs/s)
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Perceptron classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.921 in 1.86s (518 docs/s)
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SGD classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.925 in 1.86s (517 docs/s)
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NB Multinomial classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.877 in 1.90s (507 docs/s)
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Passive-Aggressive classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.946 in 5.52s (708 docs/s)
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Perceptron classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.926 in 5.52s (708 docs/s)
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SGD classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.945 in 5.53s (707 docs/s)
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NB Multinomial classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.885 in 5.56s (703 docs/s)
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Passive-Aggressive classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.946 in 5.62s (695 docs/s)
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Perceptron classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.926 in 5.63s (694 docs/s)
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SGD classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.945 in 5.63s (694 docs/s)
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NB Multinomial classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.885 in 5.67s (689 docs/s)
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Passive-Aggressive classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.951 in 9.13s (747 docs/s)
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Perceptron classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.949 in 9.13s (747 docs/s)
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SGD classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.938 in 9.13s (746 docs/s)
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NB Multinomial classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.899 in 9.17s (743 docs/s)
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Passive-Aggressive classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.951 in 9.31s (732 docs/s)
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Perceptron classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.949 in 9.31s (732 docs/s)
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SGD classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.938 in 9.32s (732 docs/s)
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NB Multinomial classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.899 in 9.35s (729 docs/s)
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Passive-Aggressive classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.964 in12.81s (762 docs/s)
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Perceptron classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.950 in12.81s (761 docs/s)
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SGD classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.958 in12.81s (761 docs/s)
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NB Multinomial classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.909 in12.85s (759 docs/s)
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Passive-Aggressive classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.964 in13.08s (746 docs/s)
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Perceptron classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.950 in13.08s (745 docs/s)
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SGD classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.958 in13.09s (745 docs/s)
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NB Multinomial classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.909 in13.12s (743 docs/s)
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Passive-Aggressive classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.951 in 16.04s (728 docs/s)
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Perceptron classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.951 in 16.04s (728 docs/s)
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SGD classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.951 in 16.04s (728 docs/s)
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NB Multinomial classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.916 in 16.08s (726 docs/s)
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Passive-Aggressive classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.951 in 16.36s (713 docs/s)
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Perceptron classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.951 in 16.36s (713 docs/s)
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SGD classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.951 in 16.37s (713 docs/s)
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NB Multinomial classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.916 in 16.40s (712 docs/s)
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Passive-Aggressive classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.966 in19.82s (737 docs/s)
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Perceptron classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.956 in19.82s (737 docs/s)
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SGD classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.954 in19.83s (737 docs/s)
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NB Multinomial classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.926 in19.86s (736 docs/s)
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Passive-Aggressive classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.966 in20.22s (723 docs/s)
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Perceptron classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.956 in20.22s (723 docs/s)
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SGD classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.954 in20.23s (723 docs/s)
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NB Multinomial classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.926 in20.26s (721 docs/s)
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Passive-Aggressive classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.954 in 23.31s (744 docs/s)
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Perceptron classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.957 in 23.31s (744 docs/s)
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SGD classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.949 in 23.32s (744 docs/s)
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NB Multinomial classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.932 in 23.35s (743 docs/s)
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Passive-Aggressive classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.954 in 23.69s (732 docs/s)
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Perceptron classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.957 in 23.69s (732 docs/s)
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SGD classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.949 in 23.69s (732 docs/s)
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NB Multinomial classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.932 in 23.73s (731 docs/s)
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‎dev/_sources/auto_examples/applications/plot_outlier_detection_housing.txt

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‎dev/_sources/auto_examples/applications/plot_prediction_latency.txt

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benchmarking with 500 features
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‎dev/_sources/auto_examples/applications/plot_species_distribution_modeling.txt

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‎dev/_sources/auto_examples/applications/plot_stock_market.txt

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‎dev/_sources/auto_examples/applications/plot_tomography_l1_reconstruction.txt

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‎dev/_sources/auto_examples/bicluster/plot_spectral_biclustering.txt

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‎dev/_sources/auto_examples/calibration/plot_calibration_curve.txt

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‎dev/_sources/auto_examples/classification/plot_classification_probability.txt

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‎dev/_sources/auto_examples/classification/plot_digits_classification.txt

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‎dev/_sources/auto_examples/classification/plot_lda.txt

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‎dev/_sources/auto_examples/cluster/plot_adjusted_for_chance_measures.txt

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Computing adjusted_rand_score for 10 values of n_clusters and n_samples=100
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Computing v_measure_score for 10 values of n_clusters and n_samples=100
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Computing adjusted_mutual_info_score for 10 values of n_clusters and n_samples=100
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Computing mutual_info_score for 10 values of n_clusters and n_samples=100
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Computing v_measure_score for 10 values of n_clusters and n_samples=1000
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Computing mutual_info_score for 10 values of n_clusters and n_samples=1000
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‎dev/_sources/auto_examples/cluster/plot_affinity_propagation.txt

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‎dev/_sources/auto_examples/cluster/plot_agglomerative_clustering.txt

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**Total running time of the script:** ( 0 minutes 3.005 seconds)
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