10329309
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)
8184930
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
3319.7474187009875
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
1.6445829573832509
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
59949
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
21580312
description
https://api.openml.org/data/download/21580312/description.xml
-1
21580313
predictions
https://api.openml.org/data/download/21580313/predictions.arff
area_under_roc_curve
0.737102632169385 [0.63645,0.636432,0.842349,0.838812]
average_cost
0
f_measure
0.630916557978826 [0.45815,0.46833,0.807487,0.798834]
kappa
0.4757699055582515
kb_relative_information_score
0.5263759572649499
mean_absolute_error
0.19621749408983452
mean_prior_absolute_error
0.3748407731887084
number_of_instances
846 [212,217,218,199]
precision
0.6838441769905766 [0.429752,0.401316,0.967949,0.951389]
predictive_accuracy
0.607565011820331
prior_entropy
1.9990667866719984
recall
0.607565011820331 [0.490566,0.562212,0.692661,0.688442]
relative_absolute_error
0.5234689183373643
root_mean_prior_squared_error
0.4329203297871725
root_mean_squared_error
0.44296443885467207
root_relative_squared_error
1.0232008255940241
total_cost
0
area_under_roc_curve
0.7005170177045177 [0.668527,0.575397,0.795455,0.767308]
area_under_roc_curve
0.7405677655677656 [0.613095,0.630952,0.909091,0.809615]
area_under_roc_curve
0.6994047619047619 [0.556548,0.61075,0.832973,0.8]
area_under_roc_curve
0.819068605006105 [0.723586,0.776335,0.909091,0.867308]
area_under_roc_curve
0.7480120573870573 [0.676339,0.569625,0.886364,0.867308]
area_under_roc_curve
0.8033234126984128 [0.65253,0.708153,0.886364,0.975]
area_under_roc_curve
0.6936763952892985 [0.564516,0.705279,0.777778,0.736842]
area_under_roc_curve
0.7130056323604711 [0.646628,0.555556,0.785714,0.875]
area_under_roc_curve
0.7380912378392217 [0.611111,0.666667,0.78739,0.892188]
area_under_roc_curve
0.7141537058371735 [0.650794,0.563492,0.847507,0.792188]
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
0.5810924369747898 [0.5,0.4,0.742857,0.6875]
f_measure
0.6314899576852017 [0.425532,0.458333,0.9,0.742857]
f_measure
0.5711163722454926 [0.294118,0.454545,0.789474,0.75]
f_measure
0.7407923169267708 [0.577778,0.653061,0.9,0.833333]
f_measure
0.6449359776643883 [0.510638,0.375,0.871795,0.833333]
f_measure
0.7193520886615516 [0.478261,0.565217,0.871795,0.974359]
f_measure
0.5714365746298521 [0.392857,0.56,0.705882,0.642857]
f_measure
0.6054439539661215 [0.47619,0.37931,0.727273,0.857143]
f_measure
0.6264566237970494 [0.425532,0.5,0.722222,0.864865]
f_measure
0.5960712243731111 [0.47619,0.377358,0.8,0.727273]
kappa
0.4025157232704403
kappa
0.48161153206431345
kappa
0.40096439169139475
kappa
0.6386989465902789
kappa
0.4975060040642897
kappa
0.6077888519748985
kappa
0.3917682926829269
kappa
0.42803101948174765
kappa
0.4764872521246458
kappa
0.42803101948174765
kb_relative_information_score
0.4599517969918153
kb_relative_information_score
0.5309019295695728
kb_relative_information_score
0.4594835238854336
kb_relative_information_score
0.6729805065987038
kb_relative_information_score
0.5462442745453469
kb_relative_information_score
0.646578478283302
kb_relative_information_score
0.4526022971364177
kb_relative_information_score
0.483832934980235
kb_relative_information_score
0.5270443399390026
kb_relative_information_score
0.48226712364765084
mean_absolute_error
0.2235294117647059
mean_absolute_error
0.19411764705882353
mean_absolute_error
0.2235294117647059
mean_absolute_error
0.13529411764705881
mean_absolute_error
0.18823529411764706
mean_absolute_error
0.14705882352941177
mean_absolute_error
0.2261904761904762
mean_absolute_error
0.21428571428571427
mean_absolute_error
0.19642857142857142
mean_absolute_error
0.21428571428571427
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
0.6705882352941176 [0.444444,0.333333,1,0.916667]
precision
0.6672699849170438 [0.384615,0.423077,1,0.866667]
precision
0.6611990950226245 [0.384615,0.340909,0.9375,1]
precision
0.7666122004357299 [0.541667,0.592593,1,0.9375]
precision
0.6830316742081448 [0.461538,0.346154,1,0.9375]
precision
0.7430196078431373 [0.44,0.541667,1,1]
precision
0.6726459814695109 [0.323529,0.5,0.923077,1]
precision
0.6933719433719434 [0.5,0.297297,1,1]
precision
0.6745518720308636 [0.384615,0.444444,0.928571,0.941176]
precision
0.6497570716320717 [0.47619,0.3125,0.888889,0.923077]
predictive_accuracy
0.5529411764705883
predictive_accuracy
0.611764705882353
predictive_accuracy
0.5529411764705883
predictive_accuracy
0.7294117647058823
predictive_accuracy
0.6235294117647059
predictive_accuracy
0.7058823529411765
predictive_accuracy
0.5476190476190476
predictive_accuracy
0.5714285714285715
predictive_accuracy
0.6071428571428572
predictive_accuracy
0.5714285714285715
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
0.5529411764705883 [0.571429,0.5,0.590909,0.55]
recall
0.611764705882353 [0.47619,0.5,0.818182,0.65]
recall
0.5529411764705883 [0.238095,0.681818,0.681818,0.6]
recall
0.7294117647058823 [0.619048,0.727273,0.818182,0.75]
recall
0.6235294117647059 [0.571429,0.409091,0.772727,0.75]
recall
0.7058823529411765 [0.52381,0.590909,0.772727,0.95]
recall
0.5476190476190477 [0.5,0.636364,0.571429,0.473684]
recall
0.5714285714285714 [0.454545,0.52381,0.571429,0.75]
recall
0.6071428571428571 [0.47619,0.571429,0.590909,0.8]
recall
0.5714285714285714 [0.47619,0.47619,0.727273,0.6]
relative_absolute_error
0.5963480604840942
relative_absolute_error
0.5178812104203976
relative_absolute_error
0.5963480604840942
relative_absolute_error
0.3609475102930043
relative_absolute_error
0.5021878404076582
relative_absolute_error
0.392334250318483
relative_absolute_error
0.6035239821371847
relative_absolute_error
0.5715673272689912
relative_absolute_error
0.523995441893482
relative_absolute_error
0.5716313911565258
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
0.47278897170376755
root_mean_squared_error
0.440587842613506
root_mean_squared_error
0.47278897170376755
root_mean_squared_error
0.36782348707914075
root_mean_squared_error
0.4338609156373123
root_mean_squared_error
0.3834824944236852
root_mean_squared_error
0.47559486560567094
root_mean_squared_error
0.4629100498862757
root_mean_squared_error
0.44320263021395917
root_mean_squared_error
0.4629100498862757
root_relative_squared_error
1.0921224083418932
root_relative_squared_error
1.0177391702417047
root_relative_squared_error
1.0921224083418932
root_relative_squared_error
0.8496566049456846
root_relative_squared_error
1.0022002551449631
root_relative_squared_error
0.8858282456498644
root_relative_squared_error
1.0987432613907606
root_relative_squared_error
1.0690786018484189
root_relative_squared_error
1.0236795453647338
root_relative_squared_error
1.0691984142413238
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
103.68154301249888
usercpu_time_millis
101.57172300387174
usercpu_time_millis
102.06744499737397
usercpu_time_millis
104.96640898054466
usercpu_time_millis
102.65574502409436
usercpu_time_millis
99.69391199410893
usercpu_time_millis
100.50195499206893
usercpu_time_millis
99.82689100434072
usercpu_time_millis
99.68138401745819
usercpu_time_millis
99.81682799116243
usercpu_time_millis_testing
5.762943008448929
usercpu_time_millis_testing
5.76998500037007
usercpu_time_millis_testing
5.837065997184254
usercpu_time_millis_testing
5.842920989380218
usercpu_time_millis_testing
5.75540101272054
usercpu_time_millis_testing
5.752195997047238
usercpu_time_millis_testing
5.627324993838556
usercpu_time_millis_testing
5.621743010124192
usercpu_time_millis_testing
5.682839007931761
usercpu_time_millis_testing
5.6494589953217655
usercpu_time_millis_training
97.91860000404995
usercpu_time_millis_training
95.80173800350167
usercpu_time_millis_training
96.23037900018971
usercpu_time_millis_training
99.12348799116444
usercpu_time_millis_training
96.90034401137382
usercpu_time_millis_training
93.94171599706169
usercpu_time_millis_training
94.87462999823038
usercpu_time_millis_training
94.20514799421653
usercpu_time_millis_training
93.99854500952642
usercpu_time_millis_training
94.16736899584066
wall_clock_time_millis
183.70699882507324
wall_clock_time_millis
133.6042881011963
wall_clock_time_millis
178.11083793640137
wall_clock_time_millis
105.00955581665039
wall_clock_time_millis
102.68044471740723
wall_clock_time_millis
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wall_clock_time_millis
100.52609443664551
wall_clock_time_millis
99.85184669494629
wall_clock_time_millis
99.75528717041016
wall_clock_time_millis
99.88522529602051
wall_clock_time_millis_testing
5.774497985839844
wall_clock_time_millis_testing
5.796670913696289
wall_clock_time_millis_testing
5.867242813110352
wall_clock_time_millis_testing
5.872488021850586
wall_clock_time_millis_testing
5.767583847045898
wall_clock_time_millis_testing
5.76472282409668
wall_clock_time_millis_testing
5.638837814331055
wall_clock_time_millis_testing
5.634069442749023
wall_clock_time_millis_testing
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wall_clock_time_millis_testing
5.660533905029297
wall_clock_time_millis_training
177.9325008392334
wall_clock_time_millis_training
127.8076171875
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
94.22469139099121