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‎dev/_sources/auto_examples/applications/plot_model_complexity_influence.txt

Lines changed: 15 additions & 15 deletions
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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)
229-
Complexity: 4454 | Hamming Loss (Misclassification Ratio): 0.2501 | Pred. Time: 0.027027s
229+
Complexity: 4454 | Hamming Loss (Misclassification Ratio): 0.2501 | Pred. Time: 0.028872s
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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: 0.020071s
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Complexity: 1624 | Hamming Loss (Misclassification Ratio): 0.2923 | Pred. Time: 0.020751s
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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: 0.016379s
243+
Complexity: 873 | Hamming Loss (Misclassification Ratio): 0.3191 | Pred. Time: 0.020468s
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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)
250-
Complexity: 655 | Hamming Loss (Misclassification Ratio): 0.3252 | Pred. Time: 0.015238s
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Complexity: 655 | Hamming Loss (Misclassification Ratio): 0.3252 | Pred. Time: 0.014954s
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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: 0.000360s
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Complexity: 69 | MSE: 31.8133 | Pred. Time: 0.000402s
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257257
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: 0.000648s
260+
Complexity: 136 | MSE: 25.6140 | Pred. Time: 0.000726s
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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: 0.001105s
265+
Complexity: 243 | MSE: 22.3315 | Pred. Time: 0.001235s
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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)
270-
Complexity: 350 | MSE: 21.3679 | Pred. Time: 0.001562s
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Complexity: 350 | MSE: 21.3679 | Pred. Time: 0.001778s
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Benchmarking NuSVR(C=1000.0, cache_size=200, coef0=0.0, degree=3, gamma=3.0517578125e-05,
273273
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: 0.001791s
275+
Complexity: 404 | MSE: 21.0915 | Pred. Time: 0.002994s
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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: 0.000109s
283+
Complexity: 10 | MSE: 28.9793 | Pred. Time: 0.000174s
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285285
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',
290290
random_state=None, subsample=1.0, verbose=0, warm_start=False)
291-
Complexity: 50 | MSE: 8.3398 | Pred. Time: 0.000187s
291+
Complexity: 50 | MSE: 8.3398 | Pred. Time: 0.000289s
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Benchmarking GradientBoostingRegressor(alpha=0.9, criterion='friedman_mse', init=None,
294294
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: 0.000270s
300+
Complexity: 100 | MSE: 7.0096 | Pred. Time: 0.000407s
301301

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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,
308308
warm_start=False)
309-
Complexity: 200 | MSE: 6.1836 | Pred. Time: 0.000424s
309+
Complexity: 200 | MSE: 6.1836 | Pred. Time: 0.000645s
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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,
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presort='auto', random_state=None, subsample=1.0, verbose=0,
317317
warm_start=False)
318-
Complexity: 500 | MSE: 6.3426 | Pred. Time: 0.000910s
318+
Complexity: 500 | MSE: 6.3426 | Pred. Time: 0.001380s
319319

320320

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**Total running time of the script:** ( 0 minutes 24.645 seconds)
321+
**Total running time of the script:** ( 0 minutes 26.688 seconds)
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‎dev/_sources/auto_examples/applications/plot_out_of_core_classification.txt

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@@ -356,46 +356,46 @@ 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 1.70s ( 564 docs/s)
360-
Perceptron classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.921 in 1.71s ( 563 docs/s)
361-
SGD classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.925 in 1.71s ( 562 docs/s)
362-
NB Multinomial classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.877 in 1.74s ( 551 docs/s)
359+
Passive-Aggressive classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.913 in 3.08s ( 312 docs/s)
360+
Perceptron classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.921 in 3.08s ( 312 docs/s)
361+
SGD classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.925 in 3.09s ( 311 docs/s)
362+
NB Multinomial classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.877 in 3.15s ( 305 docs/s)
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364364

365-
Passive-Aggressive classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.946 in 5.22s ( 748 docs/s)
366-
Perceptron classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.926 in 5.23s ( 747 docs/s)
367-
SGD classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.945 in 5.23s ( 747 docs/s)
368-
NB Multinomial classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.885 in 5.27s ( 742 docs/s)
365+
Passive-Aggressive classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.946 in 7.02s ( 557 docs/s)
366+
Perceptron classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.926 in 7.02s ( 557 docs/s)
367+
SGD classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.945 in 7.02s ( 556 docs/s)
368+
NB Multinomial classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.885 in 7.06s ( 553 docs/s)
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370370

371-
Passive-Aggressive classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.951 in 8.73s ( 780 docs/s)
372-
Perceptron classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.949 in 8.74s ( 780 docs/s)
373-
SGD classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.938 in 8.74s ( 780 docs/s)
374-
NB Multinomial classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.899 in 8.78s ( 777 docs/s)
371+
Passive-Aggressive classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.951 in 10.73s ( 635 docs/s)
372+
Perceptron classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.949 in 10.74s ( 635 docs/s)
373+
SGD classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.938 in 10.74s ( 635 docs/s)
374+
NB Multinomial classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.899 in 10.78s ( 632 docs/s)
375375

376376

377-
Passive-Aggressive classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.964 in 12.28s ( 794 docs/s)
378-
Perceptron classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.950 in 12.29s ( 794 docs/s)
379-
SGD classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.958 in 12.29s ( 793 docs/s)
380-
NB Multinomial classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.909 in 12.33s ( 791 docs/s)
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Passive-Aggressive classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.964 in 14.72s ( 662 docs/s)
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Perceptron classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.950 in 14.73s ( 662 docs/s)
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SGD classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.958 in 14.73s ( 662 docs/s)
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NB Multinomial classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.909 in 14.77s ( 660 docs/s)
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Passive-Aggressive classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.951 in 15.36s ( 760 docs/s)
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Perceptron classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.951 in 15.36s ( 760 docs/s)
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NB Multinomial classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.916 in 15.40s ( 758 docs/s)
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Perceptron classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.951 in 18.11s ( 644 docs/s)
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SGD classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.951 in 18.12s ( 644 docs/s)
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NB Multinomial classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.916 in 18.19s ( 642 docs/s)
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Passive-Aggressive classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.966 in 19.02s ( 768 docs/s)
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Perceptron classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.956 in 19.03s ( 768 docs/s)
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Perceptron classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.956 in 22.02s ( 664 docs/s)
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SGD classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.954 in 22.03s ( 663 docs/s)
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NB Multinomial classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.926 in 22.06s ( 662 docs/s)
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Passive-Aggressive classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.954 in 22.24s ( 780 docs/s)
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Perceptron classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.957 in 22.24s ( 780 docs/s)
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SGD classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.949 in 22.25s ( 780 docs/s)
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NB Multinomial classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.932 in 22.28s ( 779 docs/s)
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Passive-Aggressive classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.954 in 25.48s ( 681 docs/s)
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Perceptron classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.957 in 25.48s ( 681 docs/s)
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SGD classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.949 in 25.48s ( 681 docs/s)
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NB Multinomial classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.932 in 25.52s ( 680 docs/s)
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