10329304
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)
8184925
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
182.77762828539306
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.9917748757589415
13389
decision_function_shape
"ovr"
13389
degree
5
13389
gamma
0.008040616416913102
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
55251
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
21580302
description
https://api.openml.org/data/download/21580302/description.xml
-1
21580303
predictions
https://api.openml.org/data/download/21580303/predictions.arff
area_under_roc_curve
0.8925630038207019 [0.804878,0.811833,0.983054,0.974878]
average_cost
0
f_measure
0.8385906416817218 [0.707547,0.722611,0.976959,0.953086]
kappa
0.7856176609786728
kb_relative_information_score
0.8066597504016338
mean_absolute_error
0.08037825059101655
mean_prior_absolute_error
0.3748407731887084
number_of_instances
846 [212,217,218,199]
precision
0.8381328261384597 [0.707547,0.731132,0.981481,0.936893]
predictive_accuracy
0.8392434988179669
prior_entropy
1.9990667866719984
recall
0.8392434988179669 [0.707547,0.714286,0.972477,0.969849]
relative_absolute_error
0.21443305088518538
root_mean_prior_squared_error
0.4329203297871725
root_mean_squared_error
0.283510582855414
root_relative_squared_error
0.654879346956957
total_cost
0
area_under_roc_curve
0.9058703449328449 [0.81808,0.869408,0.977273,0.959615]
area_under_roc_curve
0.8743685134310134 [0.770461,0.777417,0.977273,0.976923]
area_under_roc_curve
0.8898771367521368 [0.786458,0.830808,0.954545,0.992308]
area_under_roc_curve
0.905746336996337 [0.802083,0.861472,0.977273,0.984615]
area_under_roc_curve
0.9136904761904763 [0.866071,0.794372,1,1]
area_under_roc_curve
0.9294318528693529 [0.857515,0.900072,0.977273,0.984615]
area_under_roc_curve
0.8956615069518296 [0.800587,0.837977,0.992063,0.965992]
area_under_roc_curve
0.8718637992831543 [0.791056,0.714286,0.992063,1]
area_under_roc_curve
0.8650753648233488 [0.746032,0.753968,0.991935,0.967187]
area_under_roc_curve
0.8730118727598567 [0.809524,0.769841,0.991935,0.917188]
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
0.858715424910747 [0.731707,0.8,0.976744,0.926829]
f_measure
0.808937528499772 [0.666667,0.666667,0.976744,0.930233]
f_measure
0.8360812829903966 [0.682927,0.73913,0.952381,0.97561]
f_measure
0.8568271237872142 [0.717949,0.782609,0.976744,0.952381]
f_measure
0.8691762138570649 [0.765957,0.717949,1,1]
f_measure
0.8931031637461186 [0.8,0.844444,0.976744,0.952381]
f_measure
0.8434301886129129 [0.714286,0.755556,0.976744,0.947368]
f_measure
0.8053362624770735 [0.680851,0.578947,0.976744,1]
f_measure
0.7955736224028908 [0.619048,0.634146,0.977778,0.95]
f_measure
0.8096969476832176 [0.695652,0.666667,0.977778,0.894737]
kappa
0.811703895144914
kappa
0.749031186565787
kappa
0.7803212110023999
kappa
0.811703895144914
kappa
0.82752259730677
kappa
0.8588039867109635
kappa
0.7934556459239646
kappa
0.7457915642141101
kappa
0.7300056721497448
kappa
0.7457915642141101
kb_relative_information_score
0.8299094620151257
kb_relative_information_score
0.7738618466215372
kb_relative_information_score
0.802157707011012
kb_relative_information_score
0.8302726355941529
kb_relative_information_score
0.8448378045813533
kb_relative_information_score
0.8727433560433832
kb_relative_information_score
0.8134357160963305
kb_relative_information_score
0.7715105845691208
kb_relative_information_score
0.756459132706338
kb_relative_information_score
0.7700905563879225
mean_absolute_error
0.07058823529411765
mean_absolute_error
0.09411764705882353
mean_absolute_error
0.08235294117647059
mean_absolute_error
0.07058823529411765
mean_absolute_error
0.06470588235294118
mean_absolute_error
0.052941176470588235
mean_absolute_error
0.07738095238095238
mean_absolute_error
0.09523809523809523
mean_absolute_error
0.10119047619047619
mean_absolute_error
0.09523809523809523
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
0.8595603458774813 [0.75,0.782609,1,0.904762]
precision
0.8106564364876386 [0.722222,0.652174,1,0.869565]
precision
0.839187675070028 [0.7,0.708333,1,0.952381]
precision
0.8590017825311941 [0.777778,0.75,1,0.909091]
precision
0.8783071599680596 [0.692308,0.823529,1,1]
precision
0.8945875500189673 [0.842105,0.826087,1,0.909091]
precision
0.8429324298889517 [0.75,0.73913,0.954545,0.947368]
precision
0.8061153552330024 [0.64,0.647059,0.954545,1]
precision
0.7939699792960663 [0.619048,0.65,0.956522,0.95]
precision
0.8159408787669656 [0.64,0.722222,0.956522,0.944444]
predictive_accuracy
0.8588235294117647
predictive_accuracy
0.8117647058823529
predictive_accuracy
0.8352941176470589
predictive_accuracy
0.8588235294117647
predictive_accuracy
0.8705882352941177
predictive_accuracy
0.8941176470588235
predictive_accuracy
0.8452380952380952
predictive_accuracy
0.8095238095238095
predictive_accuracy
0.7976190476190476
predictive_accuracy
0.8095238095238095
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
0.8588235294117647 [0.714286,0.818182,0.954545,0.95]
recall
0.8117647058823529 [0.619048,0.681818,0.954545,1]
recall
0.8352941176470589 [0.666667,0.772727,0.909091,1]
recall
0.8588235294117647 [0.666667,0.818182,0.954545,1]
recall
0.8705882352941177 [0.857143,0.636364,1,1]
recall
0.8941176470588236 [0.761905,0.863636,0.954545,1]
recall
0.8452380952380952 [0.681818,0.772727,1,0.947368]
recall
0.8095238095238095 [0.727273,0.52381,1,1]
recall
0.7976190476190477 [0.619048,0.619048,1,0.95]
recall
0.8095238095238095 [0.761905,0.619048,1,0.85]
relative_absolute_error
0.1883204401528718
relative_absolute_error
0.2510939202038291
relative_absolute_error
0.21970718017835045
relative_absolute_error
0.1883204401528718
relative_absolute_error
0.1726270701401325
relative_absolute_error
0.14124033011465387
relative_absolute_error
0.20646873073114214
relative_absolute_error
0.2540299232306628
relative_absolute_error
0.26993704582391503
relative_absolute_error
0.2540583960695671
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
0.2656844656620286
root_mean_squared_error
0.3067859955389482
root_mean_squared_error
0.2869720215917757
root_mean_squared_error
0.2656844656620286
root_mean_squared_error
0.25437350953458415
root_mean_squared_error
0.23008949665421113
root_mean_squared_error
0.2781743201320934
root_mean_squared_error
0.3086066999241838
root_mean_squared_error
0.3181045051401759
root_mean_squared_error
0.3086066999241838
root_relative_squared_error
0.6137198112980677
root_relative_squared_error
0.7086625965198915
root_relative_squared_error
0.6628931597497634
root_relative_squared_error
0.6137198112980677
root_relative_squared_error
0.5875919839038747
root_relative_squared_error
0.5314969473899186
root_relative_squared_error
0.6426523535906091
root_relative_squared_error
0.712719067898946
root_relative_squared_error
0.7347363327766473
root_relative_squared_error
0.7127989428275492
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
50.42424598650541
usercpu_time_millis
46.43055400811136
usercpu_time_millis
47.83807600324508
usercpu_time_millis
47.00936900917441
usercpu_time_millis
46.872343998984434
usercpu_time_millis
47.92036800063215
usercpu_time_millis
49.81490198406391
usercpu_time_millis
47.39085900655482
usercpu_time_millis
47.115490000578575
usercpu_time_millis
48.61512100615073
usercpu_time_millis_testing
2.983788988785818
usercpu_time_millis_testing
3.0684290104545653
usercpu_time_millis_testing
3.0413369968300685
usercpu_time_millis_testing
3.121516012470238
usercpu_time_millis_testing
3.1105990055948496
usercpu_time_millis_testing
3.0436910019489005
usercpu_time_millis_testing
3.1238179944921285
usercpu_time_millis_testing
3.103921000729315
usercpu_time_millis_testing
3.112435995717533
usercpu_time_millis_testing
3.119872009847313
usercpu_time_millis_training
47.44045699771959
usercpu_time_millis_training
43.36212499765679
usercpu_time_millis_training
44.79673900641501
usercpu_time_millis_training
43.88785299670417
usercpu_time_millis_training
43.761744993389584
usercpu_time_millis_training
44.87667699868325
usercpu_time_millis_training
46.69108398957178
usercpu_time_millis_training
44.286938005825505
usercpu_time_millis_training
44.00305400486104
usercpu_time_millis_training
45.49524899630342
wall_clock_time_millis
50.49538612365723
wall_clock_time_millis
46.46587371826172
wall_clock_time_millis
47.85728454589844
wall_clock_time_millis
47.10721969604492
wall_clock_time_millis
46.89431190490723
wall_clock_time_millis
47.93906211853027
wall_clock_time_millis
49.860477447509766
wall_clock_time_millis
47.411203384399414
wall_clock_time_millis
47.1346378326416
wall_clock_time_millis
48.63452911376953
wall_clock_time_millis_testing
2.989530563354492
wall_clock_time_millis_testing
3.078460693359375
wall_clock_time_millis_testing
3.051280975341797
wall_clock_time_millis_testing
3.1435489654541016
wall_clock_time_millis_testing
3.121614456176758
wall_clock_time_millis_testing
3.0536651611328125
wall_clock_time_millis_testing
3.133535385131836
wall_clock_time_millis_testing
3.115415573120117
wall_clock_time_millis_testing
3.122091293334961
wall_clock_time_millis_testing
3.129243850708008
wall_clock_time_millis_training
47.505855560302734
wall_clock_time_millis_training
43.387413024902344
wall_clock_time_millis_training
44.80600357055664
wall_clock_time_millis_training
43.96367073059082
wall_clock_time_millis_training
43.77269744873047
wall_clock_time_millis_training
44.88539695739746
wall_clock_time_millis_training
46.72694206237793
wall_clock_time_millis_training
44.2957878112793
wall_clock_time_millis_training
44.01254653930664
wall_clock_time_millis_training
45.50528526306152