6068910
1
Jan van Rijn
14967
Supervised Classification
6970
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier))(1)
4103239
class_weight
null
6941
criterion
"gini"
6941
max_depth
2
6941
max_features
null
6941
max_leaf_nodes
null
6941
min_impurity_split
1e-07
6941
min_samples_leaf
1
6941
min_samples_split
2
6941
min_weight_fraction_leaf
0.0
6941
presort
false
6941
random_state
15181
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splitter
"best"
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axis
0
6947
categorical_features
[0, 1]
6947
copy
true
6947
fill_empty
0
6947
missing_values
"NaN"
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strategy
"most_frequent"
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strategy_nominal
"most_frequent"
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verbose
0
6947
categorical_features
[0, 1]
6948
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
6948
handle_unknown
"ignore"
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n_values
"auto"
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sparse
true
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threshold
0.0
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algorithm
"SAMME.R"
6971
learning_rate
0.4970887677305719
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n_estimators
214
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random_state
12003
6971
openml-pimp
openml-python
Sklearn_0.18.1.
study_71
23380
cjs
https://www.openml.org/data/download/1910442/phpDAC5gS
-1
13061415
description
https://api.openml.org/data/download/13061415/description.xml
-1
13061416
predictions
https://api.openml.org/data/download/13061416/predictions.arff
area_under_roc_curve
0.9644168074253825 [1,0.869164,0.92269,0.996083,1,0.998894]
average_cost
0
f_measure
0.8444707911517197 [1,0.293532,0.788235,0.933196,1,0.942272]
kappa
0.8355790517298513
kb_relative_information_score
1091.1929132947412
mean_absolute_error
0.21803426811187682
mean_prior_absolute_error
0.27287997162595995
number_of_instances
2796 [576,341,680,511,414,274]
precision
0.9056579409866806 [1,0.967213,0.656863,0.982684,1,0.961977]
predictive_accuracy
0.8676680972818311
prior_entropy
2.5206634795042744
recall
0.8676680972818311 [1,0.173021,0.985294,0.888454,1,0.923358]
relative_absolute_error
0.7990116196975393
root_mean_prior_squared_error
0.3693707377543301
root_mean_squared_error
0.30770317956566495
root_relative_squared_error
0.8330469853578912
total_cost
0
area_under_roc_curve
0.969435633204041 [1,0.863582,0.942356,1,1,1]
area_under_roc_curve
0.9698740494817347 [1,0.897298,0.927303,1,1,1]
area_under_roc_curve
0.9204807816434077 [1,0.823111,0.862445,0.864757,1,1]
area_under_roc_curve
0.9712977724453793 [1,0.884744,0.939442,1,1,1]
area_under_roc_curve
0.9709248926215677 [1,0.897836,0.931361,1,1,1]
area_under_roc_curve
0.9625083200396063 [1,0.866239,0.91447,1,1,1]
area_under_roc_curve
0.9637073903550559 [1,0.865846,0.93912,1,1,0.947237]
area_under_roc_curve
0.9703551794485538 [1,0.896819,0.935183,1,1,0.986846]
area_under_roc_curve
0.9637311623421217 [1,0.853902,0.92424,1,1,1]
area_under_roc_curve
0.9405760610116765 [1,0.843097,0.896397,0.917656,1,1]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.867022977022977 [1,0.25641,0.824242,1,1,1]
f_measure
0.8735365853658537 [1,0.3,0.829268,1,1,1]
f_measure
0.7458605951011014 [1,0.3,0.673797,0.506329,1,1]
f_measure
0.879806972916355 [1,0.341463,0.834356,1,1,1]
f_measure
0.879806972916355 [1,0.341463,0.834356,1,1,1]
f_measure
0.8556442903369258 [1,0.454545,0.81761,1,1,0.654545]
f_measure
0.8493724724877889 [1,0.418605,0.786127,1,1,0.714286]
f_measure
0.8410438585127152 [1,0.105263,0.795181,1,1,1]
f_measure
0.7888659663359329 [1,0.341463,0.719577,0.657895,1,1]
kappa
0.8715271185368015
kappa
0.8760239096745628
kappa
0.714863080178847
kappa
0.8805158679984827
kappa
0.8804251550044285
kappa
0.8444962790181051
kappa
0.8404270530479958
kappa
0.83450365525202
kappa
0.8487033079205077
kappa
0.7628692389108055
kb_relative_information_score
117.01445887466616
kb_relative_information_score
103.99576954425306
kb_relative_information_score
100.39802530311528
kb_relative_information_score
114.2127923705792
kb_relative_information_score
117.00769567903757
kb_relative_information_score
117.80301246619042
kb_relative_information_score
102.04902428789381
kb_relative_information_score
102.50004255942527
kb_relative_information_score
116.68930543663446
kb_relative_information_score
99.52278677294244
mean_absolute_error
0.212680417617867
mean_absolute_error
0.221855439705021
mean_absolute_error
0.22423408703379102
mean_absolute_error
0.2147077665917333
mean_absolute_error
0.21240641772633226
mean_absolute_error
0.21203598064253218
mean_absolute_error
0.22284620052303586
mean_absolute_error
0.22252117257833062
mean_absolute_error
0.2124494347782081
mean_absolute_error
0.22464262951101177
mean_prior_absolute_error
0.272904982835389
mean_prior_absolute_error
0.272904982835389
mean_prior_absolute_error
0.272904982835389
mean_prior_absolute_error
0.272904982835389
mean_prior_absolute_error
0.272804289453111
mean_prior_absolute_error
0.27287651677373237
mean_prior_absolute_error
0.2728747259382053
mean_prior_absolute_error
0.2728747259382053
mean_prior_absolute_error
0.2728747259382053
mean_prior_absolute_error
0.2728747259382053
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,52,41,27]
number_of_instances
280 [58,35,68,51,41,27]
number_of_instances
279 [57,34,68,51,42,27]
number_of_instances
279 [57,34,68,51,42,27]
number_of_instances
279 [57,34,68,51,42,27]
number_of_instances
279 [57,34,68,51,42,27]
precision
0.9273932253313697 [1,1,0.701031,1,1,1]
precision
0.9291666666666667 [1,1,0.708333,1,1,1]
precision
0.8336734693877551 [1,1,0.529412,0.714286,1,1]
precision
0.9309774436090225 [1,1,0.715789,1,1,1]
precision
0.9309774436090225 [1,1,0.715789,1,1,1]
precision
0.8958013312852022 [1,1,0.714286,1,1,0.642857]
precision
0.914115036695682 [1,1,0.647619,1,1,1]
precision
0.8594835783775876 [1,0.5,0.673469,1,1,1]
precision
0.8932432832726088 [1,1,0.561983,1,1,1]
predictive_accuracy
0.8964285714285714
predictive_accuracy
0.9
predictive_accuracy
0.7714285714285714
predictive_accuracy
0.9035714285714286
predictive_accuracy
0.9035714285714286
predictive_accuracy
0.875
predictive_accuracy
0.8709677419354839
predictive_accuracy
0.867383512544803
predictive_accuracy
0.8781362007168458
predictive_accuracy
0.8100358422939068
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
recall
0.8964285714285715 [1,0.147059,1,1,1,1]
recall
0.9 [1,0.176471,1,1,1,1]
recall
0.7714285714285715 [1,0.176471,0.926471,0.392157,1,1]
recall
0.9035714285714286 [1,0.205882,1,1,1,1]
recall
0.9035714285714286 [1,0.205882,1,1,1,1]
recall
0.875 [1,0,1,1,1,1]
recall
0.8709677419354839 [1,0.294118,0.955882,1,1,0.666667]
recall
0.8673835125448028 [1,0.264706,1,1,1,0.555556]
recall
0.8781362007168458 [1,0.058824,0.970588,1,1,1]
recall
0.8100358422939068 [1,0.205882,1,0.490196,1,1]
relative_absolute_error
0.7793203898594687
relative_absolute_error
0.812940230698682
relative_absolute_error
0.8216562581748267
relative_absolute_error
0.7867491621479146
relative_absolute_error
0.7786036581468057
relative_absolute_error
0.7770400441542985
relative_absolute_error
0.8166611977596681
relative_absolute_error
0.8154700726249099
relative_absolute_error
0.7785603230484565
relative_absolute_error
0.8232445446848894
root_mean_prior_squared_error
0.36940459271455434
root_mean_prior_squared_error
0.36940459271455434
root_mean_prior_squared_error
0.36940459271455434
root_mean_prior_squared_error
0.36940459271455434
root_mean_prior_squared_error
0.36926827610333357
root_mean_prior_squared_error
0.36936606105183667
root_mean_prior_squared_error
0.3693636368423697
root_mean_prior_squared_error
0.3693636368423697
root_mean_prior_squared_error
0.3693636368423697
root_mean_prior_squared_error
0.3693636368423697
root_mean_squared_error
0.2993920143299627
root_mean_squared_error
0.3135630527971559
root_mean_squared_error
0.31772615994471315
root_mean_squared_error
0.30216654950705224
root_mean_squared_error
0.2986353787884534
root_mean_squared_error
0.2987192024024915
root_mean_squared_error
0.31478222257641747
root_mean_squared_error
0.3142012183924602
root_mean_squared_error
0.29872834404914683
root_mean_squared_error
0.31807128240264404
root_relative_squared_error
0.8104718247542428
root_relative_squared_error
0.8488336609270363
root_relative_squared_error
0.8601034372905753
root_relative_squared_error
0.8179826549707839
root_relative_squared_error
0.8087220000043689
root_relative_squared_error
0.808734840314875
root_relative_squared_error
0.8522285119007382
root_relative_squared_error
0.8506555249415341
root_relative_squared_error
0.8087648979280346
root_relative_squared_error
0.8611331779213142
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
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total_cost
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total_cost
0
usercpu_time_millis
1376.5344330004154
usercpu_time_millis
1147.7529870007857
usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
1077.5873890015646