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‎dev/_sources/auto_examples/applications/plot_model_complexity_influence.txt

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@@ -226,69 +226,69 @@ main code
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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: 0.026818s
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Complexity: 4454 | Hamming Loss (Misclassification Ratio): 0.2501 | Pred. Time: 0.027110s
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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)
236-
Complexity: 1624 | Hamming Loss (Misclassification Ratio): 0.2923 | Pred. Time: 0.020696s
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Complexity: 1624 | Hamming Loss (Misclassification Ratio): 0.2923 | Pred. Time: 0.020337s
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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: 0.016443s
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Complexity: 873 | Hamming Loss (Misclassification Ratio): 0.3191 | Pred. Time: 0.015550s
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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: 0.014242s
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Complexity: 655 | Hamming Loss (Misclassification Ratio): 0.3252 | Pred. Time: 0.015139s
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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: 0.000368s
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Complexity: 69 | MSE: 31.8133 | Pred. Time: 0.000367s
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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: 0.000653s
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Complexity: 136 | MSE: 25.6140 | Pred. Time: 0.000665s
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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: 0.001113s
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Complexity: 243 | MSE: 22.3315 | Pred. Time: 0.001119s
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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: 0.001572s
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Complexity: 350 | MSE: 21.3679 | Pred. Time: 0.001588s
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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)
275-
Complexity: 404 | MSE: 21.0915 | Pred. Time: 0.001811s
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Complexity: 404 | MSE: 21.0915 | Pred. Time: 0.001830s
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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,
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max_leaf_nodes=None, min_impurity_split=1e-07,
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min_samples_leaf=1, min_samples_split=2,
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min_weight_fraction_leaf=0.0, n_estimators=10, presort='auto',
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random_state=None, subsample=1.0, verbose=0, warm_start=False)
283-
Complexity: 10 | MSE: 28.9793 | Pred. Time: 0.000111s
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Complexity: 10 | MSE: 28.9793 | Pred. Time: 0.000109s
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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,
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max_leaf_nodes=None, min_impurity_split=1e-07,
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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)
291-
Complexity: 50 | MSE: 8.3398 | Pred. Time: 0.000190s
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Complexity: 50 | MSE: 8.3398 | Pred. Time: 0.000189s
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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)
300-
Complexity: 100 | MSE: 7.0096 | Pred. Time: 0.000274s
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Complexity: 100 | MSE: 7.0096 | Pred. Time: 0.000269s
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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)
309-
Complexity: 200 | MSE: 6.1836 | Pred. Time: 0.000426s
309+
Complexity: 200 | MSE: 6.1836 | Pred. Time: 0.000429s
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Benchmarking GradientBoostingRegressor(alpha=0.9, criterion='friedman_mse', init=None,
312312
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)
318-
Complexity: 500 | MSE: 6.3426 | Pred. Time: 0.000922s
318+
Complexity: 500 | MSE: 6.3426 | Pred. Time: 0.000938s
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**Total running time of the script:** ( 0 minutes 24.335 seconds)
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**Total running time of the script:** ( 0 minutes 24.392 seconds)
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‎dev/_sources/auto_examples/applications/plot_out_of_core_classification.txt

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@@ -356,28 +356,28 @@ maximum
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Out::
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Test set is 878 documents (108 positive)
359-
Passive-Aggressive classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.913 in 1.73s ( 555 docs/s)
360-
Perceptron classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.921 in 1.74s ( 553 docs/s)
361-
SGD classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.925 in 1.74s ( 552 docs/s)
362-
NB Multinomial classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.877 in 1.78s ( 541 docs/s)
359+
Passive-Aggressive classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.913 in 1.77s ( 543 docs/s)
360+
Perceptron classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.921 in 1.77s ( 542 docs/s)
361+
SGD classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.925 in 1.78s ( 541 docs/s)
362+
NB Multinomial classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.877 in 1.81s ( 531 docs/s)
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365-
Passive-Aggressive classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.946 in 5.38s ( 727 docs/s)
366-
Perceptron classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.926 in 5.38s ( 726 docs/s)
367-
SGD classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.945 in 5.39s ( 725 docs/s)
368-
NB Multinomial classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.885 in 5.42s ( 721 docs/s)
365+
Passive-Aggressive classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.946 in 5.33s ( 734 docs/s)
366+
Perceptron classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.926 in 5.33s ( 733 docs/s)
367+
SGD classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.945 in 5.34s ( 733 docs/s)
368+
NB Multinomial classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.885 in 5.37s ( 728 docs/s)
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371-
Passive-Aggressive classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.951 in 8.97s ( 760 docs/s)
372-
Perceptron classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.949 in 8.97s ( 760 docs/s)
373-
SGD classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.938 in 8.97s ( 760 docs/s)
374-
NB Multinomial classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.899 in 9.01s ( 757 docs/s)
371+
Passive-Aggressive classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.951 in 8.88s ( 768 docs/s)
372+
Perceptron classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.949 in 8.88s ( 768 docs/s)
373+
SGD classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.938 in 8.88s ( 767 docs/s)
374+
NB Multinomial classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.899 in 8.92s ( 764 docs/s)
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377-
Passive-Aggressive classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.964 in 12.54s ( 778 docs/s)
378-
Perceptron classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.950 in 12.55s ( 777 docs/s)
379-
SGD classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.958 in 12.55s ( 777 docs/s)
380-
NB Multinomial classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.909 in 12.58s ( 775 docs/s)
377+
Passive-Aggressive classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.964 in 12.47s ( 782 docs/s)
378+
Perceptron classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.950 in 12.47s ( 782 docs/s)
379+
SGD classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.958 in 12.47s ( 782 docs/s)
380+
NB Multinomial classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.909 in 12.51s ( 780 docs/s)
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SGD classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.949 in 22.74s ( 763 docs/s)
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