10329347
8323
Heinrich Peters
53
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8184967
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"most_frequent"
12737
verbose
0
12737
copy
true
13294
with_mean
true
13294
with_std
true
13294
C
2.6420113048794582
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.5273436479076765
13389
decision_function_shape
"ovr"
13389
degree
5
13389
gamma
0.0019341495605253744
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
43486
13389
shrinking
true
13389
tol
0.001
13389
verbose
false
13389
memory
null
16345
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}]
16345
verbose
false
16345
openml-python
Sklearn_0.21.2.
54
vehicle
https://www.openml.org/data/download/54/dataset_54_vehicle.arff
-1
21580391
description
https://api.openml.org/data/download/21580391/description.xml
-1
21580392
predictions
https://api.openml.org/data/download/21580392/predictions.arff
area_under_roc_curve
0.8030992948222136 [0.658688,0.714333,0.925882,0.919233]
average_cost
0
f_measure
0.6858040839337797 [0.48538,0.576832,0.865096,0.821739]
kappa
0.606316067702468
kb_relative_information_score
0.6444623862911023
mean_absolute_error
0.14775413711583923
mean_prior_absolute_error
0.3748407731887084
number_of_instances
846 [212,217,218,199]
precision
0.6912804529066126 [0.638462,0.592233,0.811245,0.724138]
predictive_accuracy
0.7044917257683215
prior_entropy
1.9990667866719984
recall
0.7044917257683215 [0.391509,0.562212,0.926606,0.949749]
relative_absolute_error
0.39417840236247315
root_mean_prior_squared_error
0.4329203297871725
root_mean_squared_error
0.38438800334536877
root_relative_squared_error
0.8878954784459704
total_cost
0
area_under_roc_curve
0.8202743437118436 [0.667039,0.79329,0.945527,0.873077]
area_under_roc_curve
0.8039129273504273 [0.667039,0.731962,0.929654,0.888462]
area_under_roc_curve
0.8357867826617826 [0.69122,0.770563,0.938672,0.946154]
area_under_roc_curve
0.8111168345543346 [0.643229,0.777417,0.913781,0.911538]
area_under_roc_curve
0.7882879273504274 [0.579985,0.708153,0.930736,0.938462]
area_under_roc_curve
0.8120898199023199 [0.682664,0.769481,0.900072,0.898077]
area_under_roc_curve
0.808824687856946 [0.656158,0.722874,0.944444,0.935223]
area_under_roc_curve
0.8008072516641065 [0.677419,0.642857,0.920635,0.976562]
area_under_roc_curve
0.8023193484383002 [0.761905,0.611111,0.907625,0.929688]
area_under_roc_curve
0.7461317524321556 [0.555556,0.603175,0.928886,0.895312]
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
0.7118636667927932 [0.5,0.697674,0.893617,0.75]
f_measure
0.686019321783314 [0.5,0.604651,0.857143,0.782609]
f_measure
0.741638760161914 [0.540541,0.666667,0.909091,0.851064]
f_measure
0.694263185173456 [0.451613,0.666667,0.823529,0.837209]
f_measure
0.652131745638882 [0.322581,0.565217,0.888889,0.833333]
f_measure
0.7015977405454935 [0.533333,0.652174,0.844444,0.77551]
f_measure
0.6982748054176625 [0.486486,0.590909,0.888889,0.857143]
f_measure
0.6812911986500025 [0.52381,0.457143,0.833333,0.930233]
f_measure
0.6830539358600584 [0.65,0.4,0.863636,0.816327]
f_measure
0.5839053803339518 [0.266667,0.409091,0.857143,0.8]
kappa
0.6394319439321283
kappa
0.6077888519748985
kappa
0.6709677419354838
kappa
0.6229902051376824
kappa
0.5766463752075263
kappa
0.6237550719291775
kappa
0.6196943972835315
kappa
0.6033994334277619
kappa
0.6036988110964332
kappa
0.49187145557655954
kb_relative_information_score
0.673733578138377
kb_relative_information_score
0.6455932351399766
kb_relative_information_score
0.7031460946133511
kb_relative_information_score
0.6595333036633616
kb_relative_information_score
0.618074550739075
kb_relative_information_score
0.660207512024538
kb_relative_information_score
0.6560117027444196
kb_relative_information_score
0.6427971561799153
kb_relative_information_score
0.643158210843249
kb_relative_information_score
0.5412816278416603
mean_absolute_error
0.13529411764705881
mean_absolute_error
0.14705882352941177
mean_absolute_error
0.12352941176470589
mean_absolute_error
0.1411764705882353
mean_absolute_error
0.1588235294117647
mean_absolute_error
0.1411764705882353
mean_absolute_error
0.14285714285714285
mean_absolute_error
0.1488095238095238
mean_absolute_error
0.1488095238095238
mean_absolute_error
0.19047619047619047
mean_prior_absolute_error
0.37483044982698976
mean_prior_absolute_error
0.37483044982698976
mean_prior_absolute_error
0.37483044982698976
mean_prior_absolute_error
0.37483044982698976
mean_prior_absolute_error
0.37483044982698976
mean_prior_absolute_error
0.37483044982698976
mean_prior_absolute_error
0.37478291316526624
mean_prior_absolute_error
0.37490896358543435
mean_prior_absolute_error
0.37486694677871163
mean_prior_absolute_error
0.37486694677871163
number_of_instances
85 [21,22,22,20]
number_of_instances
85 [21,22,22,20]
number_of_instances
85 [21,22,22,20]
number_of_instances
85 [21,22,22,20]
number_of_instances
85 [21,22,22,20]
number_of_instances
85 [21,22,22,20]
number_of_instances
84 [22,22,21,19]
number_of_instances
84 [22,21,21,20]
number_of_instances
84 [21,21,22,20]
number_of_instances
84 [21,21,22,20]
precision
0.7332253628724218 [0.727273,0.714286,0.84,0.642857]
precision
0.7041063511651747 [0.727273,0.619048,0.777778,0.692308]
precision
0.7451742919389979 [0.625,0.7,0.909091,0.740741]
precision
0.7133062880324543 [0.7,0.652174,0.724138,0.782609]
precision
0.6568566557057606 [0.5,0.541667,0.869565,0.714286]
precision
0.7493415057177293 [0.888889,0.625,0.826087,0.655172]
precision
0.6972567287784679 [0.6,0.590909,0.833333,0.782609]
precision
0.6791292845640672 [0.55,0.571429,0.740741,0.869565]
precision
0.6864467202488981 [0.684211,0.5,0.863636,0.689655]
precision
0.584069473199908 [0.444444,0.391304,0.777778,0.72]
predictive_accuracy
0.7294117647058823
predictive_accuracy
0.7058823529411765
predictive_accuracy
0.7529411764705882
predictive_accuracy
0.7176470588235294
predictive_accuracy
0.6823529411764706
predictive_accuracy
0.7176470588235294
predictive_accuracy
0.7142857142857143
predictive_accuracy
0.7023809523809524
predictive_accuracy
0.7023809523809524
predictive_accuracy
0.6190476190476191
prior_entropy
1.9989496630655892
prior_entropy
1.9989496630655892
prior_entropy
1.9989496630655892
prior_entropy
1.9989496630655892
prior_entropy
1.9989496630655892
prior_entropy
1.9989496630655892
prior_entropy
1.998373047127382
prior_entropy
1.9998531439726461
prior_entropy
1.99937603159913
prior_entropy
1.99937603159913
recall
0.7294117647058823 [0.380952,0.681818,0.954545,0.9]
recall
0.7058823529411765 [0.380952,0.590909,0.954545,0.9]
recall
0.7529411764705882 [0.47619,0.636364,0.909091,1]
recall
0.7176470588235294 [0.333333,0.681818,0.954545,0.9]
recall
0.6823529411764706 [0.238095,0.590909,0.909091,1]
recall
0.7176470588235294 [0.380952,0.681818,0.863636,0.95]
recall
0.7142857142857143 [0.409091,0.590909,0.952381,0.947368]
recall
0.7023809523809523 [0.5,0.380952,0.952381,1]
recall
0.7023809523809523 [0.619048,0.333333,0.863636,1]
recall
0.6190476190476191 [0.190476,0.428571,0.954545,0.9]
relative_absolute_error
0.3609475102930043
relative_absolute_error
0.392334250318483
relative_absolute_error
0.32956077026752567
relative_absolute_error
0.3766408803057436
relative_absolute_error
0.4237209903439616
relative_absolute_error
0.3766408803057436
relative_absolute_error
0.3811730413498008
relative_absolute_error
0.3969217550479106
relative_absolute_error
0.39696624385869855
relative_absolute_error
0.5081167921391342
root_mean_prior_squared_error
0.43290840668819885
root_mean_prior_squared_error
0.43290840668819885
root_mean_prior_squared_error
0.43290840668819885
root_mean_prior_squared_error
0.43290840668819885
root_mean_prior_squared_error
0.43290840668819885
root_mean_prior_squared_error
0.43290840668819885
root_mean_prior_squared_error
0.4328534993731614
root_mean_prior_squared_error
0.43299907891329226
root_mean_prior_squared_error
0.43295055783892555
root_mean_prior_squared_error
0.43295055783892555
root_mean_squared_error
0.36782348707914075
root_mean_squared_error
0.3834824944236852
root_mean_squared_error
0.3514675116774037
root_mean_squared_error
0.37573457465108967
root_mean_squared_error
0.39852669849304284
root_mean_squared_error
0.37573457465108967
root_mean_squared_error
0.3779644730092272
root_mean_squared_error
0.3857583749052298
root_mean_squared_error
0.3857583749052298
root_mean_squared_error
0.4364357804719847
root_relative_squared_error
0.8496566049456846
root_relative_squared_error
0.8858282456498644
root_relative_squared_error
0.811874997684088
root_relative_squared_error
0.8679308806347841
root_relative_squared_error
0.9205797169471016
root_relative_squared_error
0.8679308806347841
root_relative_squared_error
0.8731926010915426
root_relative_squared_error
0.8908988348736826
root_relative_squared_error
0.8909986785344366
root_relative_squared_error
1.0080499321919243
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
usercpu_time_millis
66.06539299536962
usercpu_time_millis
65.17210599849932
usercpu_time_millis
65.97537500783801
usercpu_time_millis
66.18834800610784
usercpu_time_millis
66.3003910012776
usercpu_time_millis
65.67564199212939
usercpu_time_millis
66.09288099571131
usercpu_time_millis
64.71365201286972
usercpu_time_millis
65.48847800877411
usercpu_time_millis
65.13975700363517
usercpu_time_millis_testing
5.37570400047116
usercpu_time_millis_testing
5.319695002981462
usercpu_time_millis_testing
5.356580004445277
usercpu_time_millis_testing
5.363685006159358
usercpu_time_millis_testing
5.4248859960353
usercpu_time_millis_testing
5.317166986060329
usercpu_time_millis_testing
5.309029002091847
usercpu_time_millis_testing
5.314588008332066
usercpu_time_millis_testing
5.2849540079478174
usercpu_time_millis_testing
5.264694002107717
usercpu_time_millis_training
60.68968899489846
usercpu_time_millis_training
59.85241099551786
usercpu_time_millis_training
60.618795003392734
usercpu_time_millis_training
60.82466299994849
usercpu_time_millis_training
60.8755050052423
usercpu_time_millis_training
60.35847500606906
usercpu_time_millis_training
60.783851993619464
usercpu_time_millis_training
59.39906400453765
usercpu_time_millis_training
60.20352400082629
usercpu_time_millis_training
59.87506300152745
wall_clock_time_millis
66.0858154296875
wall_clock_time_millis
65.19627571105957
wall_clock_time_millis
98.00910949707031
wall_clock_time_millis
106.20975494384766
wall_clock_time_millis
114.35532569885254
wall_clock_time_millis
65.69671630859375
wall_clock_time_millis
66.131591796875
wall_clock_time_millis
64.83340263366699
wall_clock_time_millis
65.51194190979004
wall_clock_time_millis
65.16003608703613
wall_clock_time_millis_testing
5.387783050537109
wall_clock_time_millis_testing
5.332708358764648
wall_clock_time_millis_testing
5.368232727050781
wall_clock_time_millis_testing
5.37562370300293
wall_clock_time_millis_testing
21.440505981445312
wall_clock_time_millis_testing
5.328178405761719
wall_clock_time_millis_testing
5.323648452758789
wall_clock_time_millis_testing
5.325078964233398
wall_clock_time_millis_testing
5.297183990478516
wall_clock_time_millis_testing
5.274534225463867
wall_clock_time_millis_training
60.69803237915039
wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
59.508323669433594
wall_clock_time_millis_training
60.21475791931152
wall_clock_time_millis_training
59.885501861572266