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‎dev/_sources/auto_examples/applications/plot_model_complexity_influence.txt

Lines changed: 14 additions & 14 deletions
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@@ -226,61 +226,61 @@ 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)
229-
Complexity: 4454 | Hamming Loss (Misclassification Ratio): 0.2501 | Pred. Time: 0.026696s
229+
Complexity: 4454 | Hamming Loss (Misclassification Ratio): 0.2501 | Pred. Time: 0.026523s
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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: 0.019401s
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Complexity: 1624 | Hamming Loss (Misclassification Ratio): 0.2923 | Pred. Time: 0.019315s
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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)
243-
Complexity: 873 | Hamming Loss (Misclassification Ratio): 0.3191 | Pred. Time: 0.015156s
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Complexity: 873 | Hamming Loss (Misclassification Ratio): 0.3191 | Pred. Time: 0.015610s
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Benchmarking SGDClassifier(alpha=0.001, average=False, class_weight=None, epsilon=0.1,
246246
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)
250-
Complexity: 655 | Hamming Loss (Misclassification Ratio): 0.3252 | Pred. Time: 0.013722s
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Complexity: 655 | Hamming Loss (Misclassification Ratio): 0.3252 | Pred. Time: 0.014072s
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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)
255-
Complexity: 69 | MSE: 31.8133 | Pred. Time: 0.000359s
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Complexity: 69 | MSE: 31.8133 | Pred. Time: 0.000366s
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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)
260-
Complexity: 136 | MSE: 25.6140 | Pred. Time: 0.000647s
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Complexity: 136 | MSE: 25.6140 | Pred. Time: 0.000653s
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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)
265-
Complexity: 243 | MSE: 22.3315 | Pred. Time: 0.001114s
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Complexity: 243 | MSE: 22.3315 | Pred. Time: 0.001116s
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Benchmarking NuSVR(C=1000.0, cache_size=200, coef0=0.0, degree=3, gamma=3.0517578125e-05,
268268
kernel='rbf', max_iter=-1, nu=0.75, shrinking=True, tol=0.001,
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verbose=False)
270-
Complexity: 350 | MSE: 21.3679 | Pred. Time: 0.001568s
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Complexity: 350 | MSE: 21.3679 | Pred. Time: 0.001575s
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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: 0.001802s
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Complexity: 404 | MSE: 21.0915 | Pred. Time: 0.001804s
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277277
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',
282282
random_state=None, subsample=1.0, verbose=0, warm_start=False)
283-
Complexity: 10 | MSE: 28.9793 | Pred. Time: 0.000111s
283+
Complexity: 10 | MSE: 28.9793 | Pred. Time: 0.000110s
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285285
Benchmarking GradientBoostingRegressor(alpha=0.9, criterion='friedman_mse', init=None,
286286
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: 0.000280s
300+
Complexity: 100 | MSE: 7.0096 | Pred. Time: 0.000301s
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Benchmarking GradientBoostingRegressor(alpha=0.9, criterion='friedman_mse', init=None,
303303
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: 0.000442s
309+
Complexity: 200 | MSE: 6.1836 | Pred. Time: 0.000453s
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311311
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
315315
min_weight_fraction_leaf=0.0, n_estimators=500,
316316
presort='auto', random_state=None, subsample=1.0, verbose=0,
317317
warm_start=False)
318-
Complexity: 500 | MSE: 6.3426 | Pred. Time: 0.000975s
318+
Complexity: 500 | MSE: 6.3426 | Pred. Time: 0.000985s
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**Total running time of the script:** ( 0 minutes 23.258 seconds)
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**Total running time of the script:** ( 0 minutes 23.282 seconds)
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‎dev/_sources/auto_examples/applications/plot_out_of_core_classification.txt

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@@ -357,45 +357,45 @@ maximum
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Test set is 878 documents (108 positive)
359359
Passive-Aggressive classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.913 in 1.61s ( 598 docs/s)
360-
Perceptron classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.921 in 1.61s ( 596 docs/s)
360+
Perceptron classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.921 in 1.61s ( 597 docs/s)
361361
SGD classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.925 in 1.62s ( 595 docs/s)
362-
NB Multinomial classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.877 in 1.65s ( 582 docs/s)
362+
NB Multinomial classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.877 in 1.65s ( 583 docs/s)
363363

364364

365-
Passive-Aggressive classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.946 in 4.71s ( 830 docs/s)
366-
Perceptron classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.926 in 4.71s ( 829 docs/s)
367-
SGD classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.945 in 4.72s ( 829 docs/s)
368-
NB Multinomial classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.885 in 4.75s ( 823 docs/s)
365+
Passive-Aggressive classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.946 in 4.68s ( 836 docs/s)
366+
Perceptron classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.926 in 4.68s ( 835 docs/s)
367+
SGD classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.945 in 4.69s ( 834 docs/s)
368+
NB Multinomial classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.885 in 4.72s ( 828 docs/s)
369369

370370

371-
Passive-Aggressive classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.951 in 7.73s ( 882 docs/s)
372-
Perceptron classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.949 in 7.73s ( 882 docs/s)
373-
SGD classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.938 in 7.73s ( 882 docs/s)
374-
NB Multinomial classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.899 in 7.77s ( 878 docs/s)
371+
Passive-Aggressive classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.951 in 7.83s ( 870 docs/s)
372+
Perceptron classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.949 in 7.84s ( 870 docs/s)
373+
SGD classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.938 in 7.84s ( 870 docs/s)
374+
NB Multinomial classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.899 in 7.87s ( 866 docs/s)
375375

376376

377-
Passive-Aggressive classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.964 in 10.89s ( 896 docs/s)
378-
Perceptron classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.950 in 10.89s ( 896 docs/s)
379-
SGD classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.958 in 10.89s ( 895 docs/s)
380-
NB Multinomial classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.909 in 10.93s ( 893 docs/s)
377+
Passive-Aggressive classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.964 in 10.94s ( 891 docs/s)
378+
Perceptron classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.950 in 10.95s ( 891 docs/s)
379+
SGD classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.958 in 10.95s ( 891 docs/s)
380+
NB Multinomial classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.909 in 10.99s ( 888 docs/s)
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383-
Passive-Aggressive classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.951 in 13.66s ( 855 docs/s)
384-
Perceptron classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.951 in 13.66s ( 854 docs/s)
385-
SGD classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.951 in 13.66s ( 854 docs/s)
386-
NB Multinomial classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.916 in 13.70s ( 852 docs/s)
383+
Passive-Aggressive classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.951 in 13.70s ( 852 docs/s)
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SGD classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.954 in 16.92s ( 864 docs/s)
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NB Multinomial classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.926 in 16.95s ( 862 docs/s)
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Passive-Aggressive classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.954 in 19.89s ( 872 docs/s)
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Perceptron classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.957 in 19.90s ( 872 docs/s)
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SGD classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.949 in 19.90s ( 872 docs/s)
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NB Multinomial classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.932 in 19.94s ( 870 docs/s)
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