10329350
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)
8184970
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
0.6157059094805306
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.704295099468238
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.010149764127328098
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
19882
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
21580397
description
https://api.openml.org/data/download/21580397/description.xml
-1
21580398
predictions
https://api.openml.org/data/download/21580398/predictions.arff
area_under_roc_curve
0.813488697596293 [0.643779,0.734195,0.948402,0.932957]
average_cost
0
f_measure
0.6963156693354713 [0.454829,0.604119,0.900433,0.830508]
kappa
0.626868199252255
kb_relative_information_score
0.663039891375345
mean_absolute_error
0.1400709219858156
mean_prior_absolute_error
0.3748407731887084
number_of_instances
846 [212,217,218,199]
precision
0.7102712905693997 [0.669725,0.6,0.852459,0.717949]
predictive_accuracy
0.7198581560283688
prior_entropy
1.9990667866719984
recall
0.7198581560283688 [0.34434,0.608295,0.954128,0.984925]
relative_absolute_error
0.37368112543962456
root_mean_prior_squared_error
0.4329203297871725
root_mean_squared_error
0.37426050016775164
root_relative_squared_error
0.8645020213112687
total_cost
0
area_under_roc_curve
0.8439598595848598 [0.674851,0.808081,0.969336,0.923077]
area_under_roc_curve
0.7959764194139195 [0.61942,0.716089,0.93759,0.913462]
area_under_roc_curve
0.835290750915751 [0.627232,0.814935,0.953463,0.946154]
area_under_roc_curve
0.8039129273504274 [0.61942,0.762626,0.921717,0.913462]
area_under_roc_curve
0.7882879273504274 [0.556176,0.677489,0.984127,0.938462]
area_under_roc_curve
0.8438358516483517 [0.682664,0.808081,0.9614,0.923077]
area_under_roc_curve
0.8330064201031943 [0.678886,0.753666,0.968254,0.953846]
area_under_roc_curve
0.8089917754736303 [0.677419,0.666667,0.944444,0.960938]
area_under_roc_curve
0.810255856374808 [0.730159,0.650794,0.930352,0.929688]
area_under_roc_curve
0.7695612519201228 [0.563492,0.674603,0.912757,0.928125]
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
0.7468606367278093 [0.516129,0.711111,0.954545,0.8]
f_measure
0.6650743985537477 [0.4,0.577778,0.875,0.808511]
f_measure
0.7221320190968346 [0.413793,0.708333,0.913043,0.851064]
f_measure
0.6750093430741916 [0.4,0.651163,0.84,0.808511]
f_measure
0.6445694799658994 [0.266667,0.521739,0.956522,0.833333]
f_measure
0.7456209150326797 [0.533333,0.711111,0.933333,0.8]
f_measure
0.7379528366370471 [0.526316,0.636364,0.952381,0.863636]
f_measure
0.6960506424792139 [0.52381,0.5,0.888889,0.888889]
f_measure
0.6983665228831717 [0.611111,0.473684,0.888889,0.816327]
f_measure
0.6044040500360901 [0.24,0.510638,0.823529,0.844444]
kappa
0.6866359447004607
kappa
0.5921004060538944
kappa
0.6704818165035997
kappa
0.6077888519748985
kappa
0.5765682656826568
kappa
0.6865781710914454
kappa
0.6674208144796381
kappa
0.6194072116292241
kappa
0.6194790486976218
kappa
0.5393343419062028
kb_relative_information_score
0.7169306457456617
kb_relative_information_score
0.6317561342439885
kb_relative_information_score
0.7026002682948317
kb_relative_information_score
0.6458263057431887
kb_relative_information_score
0.6178936189327408
kb_relative_information_score
0.7169306457456617
kb_relative_information_score
0.6993680306254184
kb_relative_information_score
0.6570283975153659
kb_relative_information_score
0.65710388921339
kb_relative_information_score
0.5843529585834856
mean_absolute_error
0.11764705882352941
mean_absolute_error
0.15294117647058825
mean_absolute_error
0.12352941176470589
mean_absolute_error
0.14705882352941177
mean_absolute_error
0.1588235294117647
mean_absolute_error
0.11764705882352941
mean_absolute_error
0.125
mean_absolute_error
0.14285714285714285
mean_absolute_error
0.14285714285714285
mean_absolute_error
0.17261904761904762
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
0.7816197783461211 [0.8,0.695652,0.954545,0.666667]
precision
0.6856245582588293 [0.666667,0.565217,0.807692,0.703704]
precision
0.7552874141109435 [0.75,0.653846,0.875,0.740741]
precision
0.6969498910675381 [0.666667,0.666667,0.75,0.703704]
precision
0.6445378151260505 [0.444444,0.5,0.916667,0.714286]
precision
0.7928388746803068 [0.888889,0.695652,0.913043,0.666667]
precision
0.7403571428571428 [0.625,0.636364,0.952381,0.76]
precision
0.6928571428571428 [0.55,0.6,0.833333,0.8]
precision
0.7076331582108105 [0.733333,0.529412,0.869565,0.689655]
precision
0.6734921687507894 [0.75,0.461538,0.724138,0.76]
predictive_accuracy
0.7647058823529411
predictive_accuracy
0.6941176470588235
predictive_accuracy
0.7529411764705882
predictive_accuracy
0.7058823529411765
predictive_accuracy
0.6823529411764706
predictive_accuracy
0.7647058823529411
predictive_accuracy
0.75
predictive_accuracy
0.7142857142857143
predictive_accuracy
0.7142857142857143
predictive_accuracy
0.6547619047619048
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
0.7647058823529411 [0.380952,0.727273,0.954545,1]
recall
0.6941176470588235 [0.285714,0.590909,0.954545,0.95]
recall
0.7529411764705882 [0.285714,0.772727,0.954545,1]
recall
0.7058823529411765 [0.285714,0.636364,0.954545,0.95]
recall
0.6823529411764706 [0.190476,0.545455,1,1]
recall
0.7647058823529411 [0.380952,0.727273,0.954545,1]
recall
0.75 [0.454545,0.636364,0.952381,1]
recall
0.7142857142857143 [0.5,0.428571,0.952381,1]
recall
0.7142857142857143 [0.52381,0.428571,0.909091,1]
recall
0.6547619047619048 [0.142857,0.571429,0.954545,0.95]
relative_absolute_error
0.3138674002547863
relative_absolute_error
0.4080276203312223
relative_absolute_error
0.32956077026752567
relative_absolute_error
0.392334250318483
relative_absolute_error
0.4237209903439616
relative_absolute_error
0.3138674002547863
relative_absolute_error
0.3335264111810758
relative_absolute_error
0.38104488484599414
relative_absolute_error
0.38108759410435056
relative_absolute_error
0.46048084287609037
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
0.3429971702850177
root_mean_squared_error
0.39107694443752145
root_mean_squared_error
0.3514675116774037
root_mean_squared_error
0.3834824944236852
root_mean_squared_error
0.39852669849304284
root_mean_squared_error
0.3429971702850177
root_mean_squared_error
0.3535533905932738
root_mean_squared_error
0.3779644730092272
root_mean_squared_error
0.3779644730092272
root_mean_squared_error
0.4154744849194083
root_relative_squared_error
0.7923088694649917
root_relative_squared_error
0.9033711020520643
root_relative_squared_error
0.811874997684088
root_relative_squared_error
0.8858282456498644
root_relative_squared_error
0.9205797169471016
root_relative_squared_error
0.7923088694649917
root_relative_squared_error
0.8167968864876305
root_relative_squared_error
0.8728990231522278
root_relative_squared_error
0.8729968495613873
root_relative_squared_error
0.9596349453693993
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
64.75308600056451
usercpu_time_millis
63.64630900498014
usercpu_time_millis
64.20394900487736
usercpu_time_millis
64.09003199951258
usercpu_time_millis
64.17930900352076
usercpu_time_millis
63.63177399907727
usercpu_time_millis
64.54849999863654
usercpu_time_millis
63.343880989123136
usercpu_time_millis
64.18984099582303
usercpu_time_millis
63.826015990343876
usercpu_time_millis_testing
5.428156000562012
usercpu_time_millis_testing
5.2457650017458946
usercpu_time_millis_testing
5.30371000058949
usercpu_time_millis_testing
5.426062998594716
usercpu_time_millis_testing
5.274177005048841
usercpu_time_millis_testing
5.264728999463841
usercpu_time_millis_testing
5.3554049954982474
usercpu_time_millis_testing
5.275481991702691
usercpu_time_millis_testing
5.359935996239074
usercpu_time_millis_testing
5.2683659887406975
usercpu_time_millis_training
59.324930000002496
usercpu_time_millis_training
58.400544003234245
usercpu_time_millis_training
58.90023900428787
usercpu_time_millis_training
58.66396900091786
usercpu_time_millis_training
58.905131998471916
usercpu_time_millis_training
58.36704499961343
usercpu_time_millis_training
59.193095003138296
usercpu_time_millis_training
58.068398997420445
usercpu_time_millis_training
58.82990499958396
usercpu_time_millis_training
58.55765000160318
wall_clock_time_millis
64.77546691894531
wall_clock_time_millis
63.66848945617676
wall_clock_time_millis
64.23616409301758
wall_clock_time_millis
64.11337852478027
wall_clock_time_millis
64.20207023620605
wall_clock_time_millis
63.738107681274414
wall_clock_time_millis
64.58353996276855
wall_clock_time_millis
63.36522102355957
wall_clock_time_millis
64.21327590942383
wall_clock_time_millis
79.90026473999023
wall_clock_time_millis_testing
5.439996719360352
wall_clock_time_millis_testing
5.257844924926758
wall_clock_time_millis_testing
5.31458854675293
wall_clock_time_millis_testing
5.438089370727539
wall_clock_time_millis_testing
5.286931991577148
wall_clock_time_millis_testing
5.276918411254883
wall_clock_time_millis_testing
5.367755889892578
wall_clock_time_millis_testing
5.285739898681641
wall_clock_time_millis_testing
5.3730010986328125
wall_clock_time_millis_testing
21.279335021972656
wall_clock_time_millis_training
59.33547019958496
wall_clock_time_millis_training
58.41064453125
wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
58.915138244628906
wall_clock_time_millis_training
58.46118927001953
wall_clock_time_millis_training
59.21578407287598
wall_clock_time_millis_training
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wall_clock_time_millis_training
58.840274810791016
wall_clock_time_millis_training
58.62092971801758