10329320
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)
8184940
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
4.043069327490065
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.006149207135497997
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
50087
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
21580337
description
https://api.openml.org/data/download/21580337/description.xml
-1
21580338
predictions
https://api.openml.org/data/download/21580338/predictions.arff
area_under_roc_curve
0.8437902590362499 [0.704251,0.735785,0.972798,0.968894]
average_cost
0
f_measure
0.7568888611062965 [0.563158,0.606897,0.952596,0.912442]
kappa
0.688054840133413
kb_relative_information_score
0.7187056515935827
mean_absolute_error
0.11702127659574468
mean_prior_absolute_error
0.3748407731887084
number_of_instances
846 [212,217,218,199]
precision
0.7547540728115746 [0.636905,0.605505,0.937778,0.842553]
predictive_accuracy
0.7659574468085107
prior_entropy
1.9990667866719984
recall
0.7659574468085106 [0.504717,0.608295,0.96789,0.994975]
relative_absolute_error
0.31218929467107875
root_mean_prior_squared_error
0.4329203297871725
root_mean_squared_error
0.3420837274641176
root_relative_squared_error
0.7901770924740102
total_cost
0
area_under_roc_curve
0.8514155982905982 [0.71503,0.762626,0.977273,0.953846]
area_under_roc_curve
0.8349301739926739 [0.722842,0.693362,0.9614,0.969231]
area_under_roc_curve
0.8194291819291819 [0.651786,0.693362,0.969336,0.969231]
area_under_roc_curve
0.8582474816849816 [0.667039,0.829726,0.9614,0.976923]
area_under_roc_curve
0.8423820970695971 [0.659598,0.73088,0.992063,0.992308]
area_under_roc_curve
0.8985462454212455 [0.857887,0.802309,0.969336,0.969231]
area_under_roc_curve
0.8403265193587773 [0.709677,0.760264,0.968254,0.942915]
area_under_roc_curve
0.8408698156682026 [0.716276,0.714286,0.97619,0.96875]
area_under_roc_curve
0.8416378648233488 [0.746032,0.68254,0.969208,0.96875]
area_under_roc_curve
0.8096398169482848 [0.595238,0.68254,0.983871,0.976562]
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
0.7689782655651799 [0.578947,0.651163,0.976744,0.869565]
f_measure
0.7435486823722117 [0.594595,0.545455,0.933333,0.909091]
f_measure
0.7191669012102448 [0.473684,0.545455,0.954545,0.909091]
f_measure
0.7703292293661651 [0.5,0.72,0.933333,0.930233]
f_measure
0.7570106520941406 [0.486486,0.595745,0.977778,0.97561]
f_measure
0.8425837320574163 [0.772727,0.736842,0.954545,0.909091]
f_measure
0.7555038348335811 [0.578947,0.638298,0.952381,0.878049]
f_measure
0.7478304964184297 [0.585366,0.578947,0.933333,0.909091]
f_measure
0.7527910685805422 [0.619048,0.526316,0.954545,0.909091]
f_measure
0.6933454142756469 [0.363636,0.521739,0.956522,0.930233]
kappa
0.702249262536873
kappa
0.6706034323675955
kappa
0.6392988929889298
kappa
0.7172949002217295
kappa
0.685941252540181
kappa
0.7963509030593439
kappa
0.6827195467422096
kappa
0.6828393430243533
kappa
0.6826596146581034
kappa
0.6189756189756189
kb_relative_information_score
0.7313911261723068
kb_relative_information_score
0.7032507831739063
kb_relative_information_score
0.6748502342238757
kb_relative_information_score
0.7450709887440621
kb_relative_information_score
0.7170353343062171
kb_relative_information_score
0.8165927730223976
kb_relative_information_score
0.7132422092303135
kb_relative_information_score
0.7140592498515393
kb_relative_information_score
0.7142799746040228
kb_relative_information_score
0.6563943475165267
mean_absolute_error
0.11176470588235295
mean_absolute_error
0.12352941176470589
mean_absolute_error
0.13529411764705881
mean_absolute_error
0.10588235294117647
mean_absolute_error
0.11764705882352941
mean_absolute_error
0.07647058823529412
mean_absolute_error
0.11904761904761904
mean_absolute_error
0.11904761904761904
mean_absolute_error
0.11904761904761904
mean_absolute_error
0.14285714285714285
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
0.7722296158282317 [0.647059,0.666667,1,0.769231]
precision
0.743424978687127 [0.6875,0.545455,0.913043,0.833333]
precision
0.7151095732410611 [0.529412,0.545455,0.954545,0.833333]
precision
0.7869864151194075 [0.727273,0.642857,0.913043,0.869565]
precision
0.7555717330410426 [0.5625,0.56,0.956522,0.952381]
precision
0.8522165387894288 [0.73913,0.875,0.954545,0.833333]
precision
0.7603625541125542 [0.6875,0.6,0.952381,0.818182]
precision
0.7443409381296379 [0.631579,0.647059,0.875,0.833333]
precision
0.7502334267040149 [0.619048,0.588235,0.954545,0.833333]
precision
0.6921187025534851 [0.5,0.48,0.916667,0.869565]
predictive_accuracy
0.776470588235294
predictive_accuracy
0.7529411764705882
predictive_accuracy
0.7294117647058823
predictive_accuracy
0.7882352941176471
predictive_accuracy
0.7647058823529411
predictive_accuracy
0.8470588235294118
predictive_accuracy
0.7619047619047619
predictive_accuracy
0.7619047619047619
predictive_accuracy
0.7619047619047619
predictive_accuracy
0.7142857142857143
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
0.7764705882352941 [0.52381,0.636364,0.954545,1]
recall
0.7529411764705882 [0.52381,0.545455,0.954545,1]
recall
0.7294117647058823 [0.428571,0.545455,0.954545,1]
recall
0.788235294117647 [0.380952,0.818182,0.954545,1]
recall
0.7647058823529411 [0.428571,0.636364,1,1]
recall
0.8470588235294118 [0.809524,0.636364,0.954545,1]
recall
0.7619047619047619 [0.5,0.681818,0.952381,0.947368]
recall
0.7619047619047619 [0.545455,0.52381,1,1]
recall
0.7619047619047619 [0.619048,0.47619,0.954545,1]
recall
0.7142857142857143 [0.285714,0.571429,1,1]
relative_absolute_error
0.2981740302420471
relative_absolute_error
0.32956077026752567
relative_absolute_error
0.3609475102930043
relative_absolute_error
0.28248066022930773
relative_absolute_error
0.3138674002547863
relative_absolute_error
0.20401381016561115
relative_absolute_error
0.31764420112483405
relative_absolute_error
0.3175374040383284
relative_absolute_error
0.3175729950869588
relative_absolute_error
0.38108759410435056
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
0.33431228796194873
root_mean_squared_error
0.3514675116774037
root_mean_squared_error
0.36782348707914075
root_mean_squared_error
0.32539568672798425
root_mean_squared_error
0.3429971702850177
root_mean_squared_error
0.27653315937748607
root_mean_squared_error
0.3450327796711771
root_mean_squared_error
0.3450327796711771
root_mean_squared_error
0.3450327796711771
root_mean_squared_error
0.3779644730092272
root_relative_squared_error
0.7722471608243364
root_relative_squared_error
0.811874997684088
root_relative_squared_error
0.8496566049456846
root_relative_squared_error
0.7516501913587222
root_relative_squared_error
0.7923088694649917
root_relative_squared_error
0.6387798321889793
root_relative_squared_error
0.7971121411074134
root_relative_squared_error
0.7968441423411657
root_relative_squared_error
0.7969334452261931
root_relative_squared_error
0.8729968495613873
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
51.80239898618311
usercpu_time_millis
50.66235800040886
usercpu_time_millis
50.564958990435116
usercpu_time_millis
50.3133480087854
usercpu_time_millis
52.058910005143844
usercpu_time_millis
51.00599401339423
usercpu_time_millis
51.09468499722425
usercpu_time_millis
50.59367400826886
usercpu_time_millis
50.98631500732154
usercpu_time_millis
49.87920299754478
usercpu_time_millis_testing
4.554523999104276
usercpu_time_millis_testing
4.568994001601823
usercpu_time_millis_testing
4.496182998991571
usercpu_time_millis_testing
4.473719003726728
usercpu_time_millis_testing
4.516204004175961
usercpu_time_millis_testing
4.495981003856286
usercpu_time_millis_testing
4.486717996769585
usercpu_time_millis_testing
4.424402010045014
usercpu_time_millis_testing
4.469532999792136
usercpu_time_millis_testing
4.41573400166817
usercpu_time_millis_training
47.24787498707883
usercpu_time_millis_training
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usercpu_time_millis_training
46.068775991443545
usercpu_time_millis_training
45.83962900505867
usercpu_time_millis_training
47.54270600096788
usercpu_time_millis_training
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usercpu_time_millis_training
46.607967000454664
usercpu_time_millis_training
46.16927199822385
usercpu_time_millis_training
46.5167820075294
usercpu_time_millis_training
45.46346899587661
wall_clock_time_millis
103.81960868835449
wall_clock_time_millis
50.684452056884766
wall_clock_time_millis
50.64082145690918
wall_clock_time_millis
50.333261489868164
wall_clock_time_millis
52.07991600036621
wall_clock_time_millis
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wall_clock_time_millis
51.11360549926758
wall_clock_time_millis
50.6129264831543
wall_clock_time_millis
51.02109909057617
wall_clock_time_millis
49.98612403869629
wall_clock_time_millis_testing
4.567623138427734
wall_clock_time_millis_testing
4.580974578857422
wall_clock_time_millis_testing
4.507780075073242
wall_clock_time_millis_testing
4.4841766357421875
wall_clock_time_millis_testing
4.526853561401367
wall_clock_time_millis_testing
4.508495330810547
wall_clock_time_millis_testing
4.495859146118164
wall_clock_time_millis_testing
4.435062408447266
wall_clock_time_millis_testing
4.479646682739258
wall_clock_time_millis_testing
4.441976547241211
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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