10329316
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)
8184936
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
82.09840330298995
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.2512389819746541
13389
decision_function_shape
"ovr"
13389
degree
2
13389
gamma
0.0010706630871012526
13389
kernel
"sigmoid"
13389
max_iter
-1
13389
probability
false
13389
random_state
16719
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
21580329
description
https://api.openml.org/data/download/21580329/description.xml
-1
21580330
predictions
https://api.openml.org/data/download/21580330/predictions.arff
area_under_roc_curve
0.8373507125638733 [0.723089,0.720854,0.951587,0.960968]
average_cost
0
f_measure
0.7475814318069861 [0.589109,0.589681,0.908297,0.91253]
kappa
0.6753947765447413
kb_relative_information_score
0.7073136790738007
mean_absolute_error
0.12174940898345153
mean_prior_absolute_error
0.3748407731887084
number_of_instances
846 [212,217,218,199]
precision
0.7433116071798883 [0.619792,0.631579,0.866667,0.861607]
predictive_accuracy
0.7565011820330969
prior_entropy
1.9990667866719984
recall
0.7565011820330969 [0.561321,0.552995,0.954128,0.969849]
relative_absolute_error
0.32480300354667785
root_mean_prior_squared_error
0.4329203297871725
root_mean_squared_error
0.34892607954042576
root_relative_squared_error
0.8059821993389891
total_cost
0
area_under_roc_curve
0.8354262057387056 [0.691592,0.702381,0.984127,0.969231]
area_under_roc_curve
0.8273618742368741 [0.762649,0.694444,0.945527,0.911538]
area_under_roc_curve
0.8194329975579975 [0.65997,0.701299,0.946609,0.976923]
area_under_roc_curve
0.8583753052503053 [0.762649,0.763709,0.929654,0.984615]
area_under_roc_curve
0.8348137973137972 [0.651786,0.738817,0.969336,0.984615]
area_under_roc_curve
0.8903655372405371 [0.834077,0.825036,0.930736,0.976923]
area_under_roc_curve
0.8482748434361339 [0.747067,0.76173,0.952381,0.950607]
area_under_roc_curve
0.8408738159242193 [0.747067,0.714286,0.936508,0.976562]
area_under_roc_curve
0.8256328405017922 [0.738095,0.650794,0.953079,0.960938]
area_under_roc_curve
0.7932627688172043 [0.634921,0.650794,0.967742,0.917188]
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
0.7400452415984822 [0.536585,0.564103,0.956522,0.909091]
f_measure
0.7312207119364322 [0.65,0.55,0.893617,0.837209]
f_measure
0.7246204664509025 [0.487805,0.55814,0.930233,0.930233]
f_measure
0.7790756302521009 [0.65,0.666667,0.857143,0.952381]
f_measure
0.7457210801940914 [0.473684,0.608696,0.954545,0.952381]
f_measure
0.8318963602137337 [0.744186,0.769231,0.888889,0.930233]
f_measure
0.7674727380768219 [0.634146,0.651163,0.909091,0.9]
f_measure
0.7496980354410158 [0.634146,0.578947,0.869565,0.930233]
f_measure
0.7230378529005531 [0.615385,0.473684,0.913043,0.888889]
f_measure
0.6846595655806182 [0.45,0.47619,0.916667,0.894737]
kappa
0.670846394984326
kappa
0.6549815498154983
kappa
0.6393654307323371
kappa
0.7176079734219268
kappa
0.6704209748892171
kappa
0.7805642633228841
kappa
0.6985266339251985
kappa
0.6827794561933535
kappa
0.6508596259210279
kappa
0.58667676003028
kb_relative_information_score
0.7032253687586469
kb_relative_information_score
0.6884542645166518
kb_relative_information_score
0.6750057516149504
kb_relative_information_score
0.7457215036231369
kb_relative_information_score
0.7029905772222765
kb_relative_information_score
0.8024179129626419
kb_relative_information_score
0.7277473705636908
kb_relative_information_score
0.7142165475450584
kb_relative_information_score
0.6856790761668773
kb_relative_information_score
0.6268228167103761
mean_absolute_error
0.12352941176470589
mean_absolute_error
0.12941176470588237
mean_absolute_error
0.13529411764705881
mean_absolute_error
0.10588235294117647
mean_absolute_error
0.12352941176470589
mean_absolute_error
0.08235294117647059
mean_absolute_error
0.1130952380952381
mean_absolute_error
0.11904761904761904
mean_absolute_error
0.13095238095238096
mean_absolute_error
0.15476190476190477
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
0.7366897347174165 [0.55,0.647059,0.916667,0.833333]
precision
0.7287651695308176 [0.684211,0.611111,0.84,0.782609]
precision
0.7225307514310071 [0.5,0.571429,0.952381,0.869565]
precision
0.7821750559685361 [0.684211,0.764706,0.777778,0.909091]
precision
0.7427388067526476 [0.529412,0.583333,0.954545,0.909091]
precision
0.8377203659887578 [0.727273,0.882353,0.869565,0.869565]
precision
0.7650700249588775 [0.684211,0.666667,0.869565,0.857143]
precision
0.7480020383439417 [0.684211,0.647059,0.8,0.869565]
precision
0.7186624649859944 [0.666667,0.529412,0.875,0.8]
precision
0.6839481181586444 [0.473684,0.47619,0.846154,0.944444]
predictive_accuracy
0.7529411764705882
predictive_accuracy
0.7411764705882353
predictive_accuracy
0.7294117647058823
predictive_accuracy
0.7882352941176471
predictive_accuracy
0.7529411764705882
predictive_accuracy
0.8352941176470589
predictive_accuracy
0.7738095238095238
predictive_accuracy
0.7619047619047619
predictive_accuracy
0.7380952380952381
predictive_accuracy
0.6904761904761905
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
0.7529411764705882 [0.52381,0.5,1,1]
recall
0.7411764705882353 [0.619048,0.5,0.954545,0.9]
recall
0.7294117647058823 [0.47619,0.545455,0.909091,1]
recall
0.788235294117647 [0.619048,0.590909,0.954545,1]
recall
0.7529411764705882 [0.428571,0.636364,0.954545,1]
recall
0.8352941176470589 [0.761905,0.681818,0.909091,1]
recall
0.7738095238095238 [0.590909,0.636364,0.952381,0.947368]
recall
0.7619047619047619 [0.590909,0.52381,0.952381,1]
recall
0.7380952380952381 [0.571429,0.428571,0.954545,1]
recall
0.6904761904761905 [0.428571,0.47619,1,0.85]
relative_absolute_error
0.32956077026752567
relative_absolute_error
0.345254140280265
relative_absolute_error
0.3609475102930043
relative_absolute_error
0.28248066022930773
relative_absolute_error
0.32956077026752567
relative_absolute_error
0.21970718017835045
relative_absolute_error
0.30176199106859236
relative_absolute_error
0.3175374040383284
relative_absolute_error
0.34933029459565473
relative_absolute_error
0.4128448936130465
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
0.3514675116774037
root_mean_squared_error
0.3597384670922507
root_mean_squared_error
0.36782348707914075
root_mean_squared_error
0.32539568672798425
root_mean_squared_error
0.3514675116774037
root_mean_squared_error
0.2869720215917757
root_mean_squared_error
0.33629635456727464
root_mean_squared_error
0.3450327796711771
root_mean_squared_error
0.36187343222787294
root_mean_squared_error
0.3933978962347216
root_relative_squared_error
0.811874997684088
root_relative_squared_error
0.8309805527785729
root_relative_squared_error
0.8496566049456846
root_relative_squared_error
0.7516501913587222
root_relative_squared_error
0.811874997684088
root_relative_squared_error
0.6628931597497634
root_relative_squared_error
0.77692881091243
root_relative_squared_error
0.7968441423411657
root_relative_squared_error
0.835830848755954
root_relative_squared_error
0.9086439296864952
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
54.3971659935778
usercpu_time_millis
53.92104999918956
usercpu_time_millis
53.81472299632151
usercpu_time_millis
55.55540100613143
usercpu_time_millis
53.40714300109539
usercpu_time_millis
54.18454798927996
usercpu_time_millis
52.93180599983316
usercpu_time_millis
52.290734005509876
usercpu_time_millis
52.212930997484364
usercpu_time_millis
52.8660400013905
usercpu_time_millis_testing
4.668451001634821
usercpu_time_millis_testing
4.592425000737421
usercpu_time_millis_testing
4.664213003707118
usercpu_time_millis_testing
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usercpu_time_millis_testing
4.632463998859748
usercpu_time_millis_testing
4.54569399880711
usercpu_time_millis_testing
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usercpu_time_millis_testing
4.507927005761303
usercpu_time_millis_testing
4.552320999209769
usercpu_time_millis_testing
4.475933004869148
usercpu_time_millis_training
49.72871499194298
usercpu_time_millis_training
49.32862499845214
usercpu_time_millis_training
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usercpu_time_millis_training
50.94574000395369
usercpu_time_millis_training
48.774679002235644
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
48.390106996521354
wall_clock_time_millis
54.41761016845703
wall_clock_time_millis
54.006099700927734
wall_clock_time_millis
53.9250373840332
wall_clock_time_millis
55.67765235900879
wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis_testing
4.681110382080078
wall_clock_time_millis_testing
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wall_clock_time_millis_testing
4.676103591918945
wall_clock_time_millis_testing
4.621028900146484
wall_clock_time_millis_testing
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wall_clock_time_millis_testing
4.557132720947266
wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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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
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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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