10329306
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)
8184927
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
7061.843965992758
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
1.6792401713262466
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
58082
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
21580306
description
https://api.openml.org/data/download/21580306/description.xml
-1
21580307
predictions
https://api.openml.org/data/download/21580307/predictions.arff
area_under_roc_curve
0.7346205511400142 [0.643555,0.630626,0.840056,0.829534]
average_cost
0
f_measure
0.6281761578251369 [0.46712,0.462963,0.80429,0.786982]
kappa
0.47088080115603054
kb_relative_information_score
0.5219264469465118
mean_absolute_error
0.1979905437352246
mean_prior_absolute_error
0.3748407731887084
number_of_instances
846 [212,217,218,199]
precision
0.6864182669523611 [0.449782,0.386997,0.967742,0.956835]
predictive_accuracy
0.6040189125295509
prior_entropy
1.9990667866719984
recall
0.6040189125295509 [0.485849,0.576037,0.688073,0.668342]
relative_absolute_error
0.5281990591657141
root_mean_prior_squared_error
0.4329203297871725
root_mean_squared_error
0.44496128341151725
root_relative_squared_error
1.0278133245215446
total_cost
0
area_under_roc_curve
0.6927045177045177 [0.660714,0.575397,0.795455,0.742308]
area_under_roc_curve
0.7405677655677656 [0.613095,0.630952,0.909091,0.809615]
area_under_roc_curve
0.683531746031746 [0.532738,0.594877,0.832973,0.775]
area_under_roc_curve
0.8186965811965813 [0.747024,0.752525,0.909091,0.867308]
area_under_roc_curve
0.7320188492063492 [0.668527,0.553752,0.886364,0.825]
area_under_roc_curve
0.8033234126984128 [0.65253,0.708153,0.886364,0.975]
area_under_roc_curve
0.6936763952892985 [0.604839,0.664956,0.777778,0.736842]
area_under_roc_curve
0.7130056323604711 [0.646628,0.555556,0.785714,0.875]
area_under_roc_curve
0.7619007616487455 [0.65873,0.714286,0.78739,0.892188]
area_under_roc_curve
0.7062171979006657 [0.650794,0.555556,0.82478,0.792188]
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
0.5686093792355652 [0.489796,0.4,0.742857,0.645161]
f_measure
0.6314899576852017 [0.425532,0.458333,0.9,0.742857]
f_measure
0.5453971868656308 [0.242424,0.441176,0.789474,0.709677]
f_measure
0.7412368024132729 [0.619048,0.615385,0.9,0.833333]
f_measure
0.6277301522007405 [0.5,0.36,0.871795,0.787879]
f_measure
0.7193520886615516 [0.478261,0.565217,0.871795,0.974359]
f_measure
0.5681906095771643 [0.431373,0.509091,0.705882,0.642857]
f_measure
0.6054439539661215 [0.47619,0.37931,0.727273,0.857143]
f_measure
0.6559137534747291 [0.487805,0.555556,0.722222,0.864865]
f_measure
0.5862655862655863 [0.47619,0.37037,0.769231,0.727273]
kappa
0.38667900092506935
kappa
0.48161153206431345
kappa
0.3690851735015773
kappa
0.6384985207100591
kappa
0.4656065088757396
kappa
0.6077888519748985
kappa
0.3917682926829269
kappa
0.42803101948174765
kappa
0.5240793201133145
kappa
0.41225416036308626
kb_relative_information_score
0.445388348937773
kb_relative_information_score
0.5309019295695728
kb_relative_information_score
0.43071980135637633
kb_relative_information_score
0.6729805065987038
kb_relative_information_score
0.5171173784372624
kb_relative_information_score
0.646578478283302
kb_relative_information_score
0.4526022971364177
kb_relative_information_score
0.483832934980235
kb_relative_information_score
0.5697482519758569
kb_relative_information_score
0.4680581977856911
mean_absolute_error
0.22941176470588234
mean_absolute_error
0.19411764705882353
mean_absolute_error
0.23529411764705882
mean_absolute_error
0.13529411764705881
mean_absolute_error
0.2
mean_absolute_error
0.14705882352941177
mean_absolute_error
0.2261904761904762
mean_absolute_error
0.21428571428571427
mean_absolute_error
0.17857142857142858
mean_absolute_error
0.22023809523809523
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
0.6648841354723707 [0.428571,0.333333,1,0.909091]
precision
0.6672699849170438 [0.384615,0.423077,1,0.866667]
precision
0.644693094629156 [0.333333,0.326087,0.9375,1]
precision
0.7703921568627451 [0.619048,0.533333,1,0.9375]
precision
0.6871148459383754 [0.444444,0.321429,1,1]
precision
0.7430196078431373 [0.44,0.541667,1,1]
precision
0.6674140036209002 [0.37931,0.424242,0.923077,1]
precision
0.6933719433719434 [0.5,0.297297,1,1]
precision
0.7059232784022701 [0.5,0.454545,0.928571,0.941176]
precision
0.6456778515602044 [0.47619,0.30303,0.882353,0.923077]
predictive_accuracy
0.5411764705882353
predictive_accuracy
0.611764705882353
predictive_accuracy
0.5294117647058824
predictive_accuracy
0.7294117647058823
predictive_accuracy
0.6
predictive_accuracy
0.7058823529411765
predictive_accuracy
0.5476190476190476
predictive_accuracy
0.5714285714285715
predictive_accuracy
0.6428571428571429
predictive_accuracy
0.5595238095238095
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
0.5411764705882353 [0.571429,0.5,0.590909,0.5]
recall
0.611764705882353 [0.47619,0.5,0.818182,0.65]
recall
0.5294117647058824 [0.190476,0.681818,0.681818,0.55]
recall
0.7294117647058823 [0.619048,0.727273,0.818182,0.75]
recall
0.6 [0.571429,0.409091,0.772727,0.65]
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
0.6428571428571429 [0.47619,0.714286,0.590909,0.8]
recall
0.5595238095238095 [0.47619,0.47619,0.681818,0.6]
relative_absolute_error
0.6120414304968333
relative_absolute_error
0.5178812104203976
relative_absolute_error
0.6277348005095726
relative_absolute_error
0.3609475102930043
relative_absolute_error
0.5335745804331368
relative_absolute_error
0.392334250318483
relative_absolute_error
0.6035239821371847
relative_absolute_error
0.5715673272689912
relative_absolute_error
0.47635949263043825
relative_absolute_error
0.5875100409108738
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
0.4789694820193478
root_mean_squared_error
0.440587842613506
root_mean_squared_error
0.48507125007266594
root_mean_squared_error
0.36782348707914075
root_mean_squared_error
0.4472135954999579
root_mean_squared_error
0.3834824944236852
root_mean_squared_error
0.47559486560567094
root_mean_squared_error
0.4629100498862757
root_mean_squared_error
0.4225771273642583
root_mean_squared_error
0.46929531772445293
root_relative_squared_error
1.1063991242016336
root_relative_squared_error
1.0177391702417047
root_relative_squared_error
1.1204939487858854
root_relative_squared_error
0.8496566049456846
root_relative_squared_error
1.033044377495913
root_relative_squared_error
0.8858282456498644
root_relative_squared_error
1.0987432613907606
root_relative_squared_error
1.0690786018484189
root_relative_squared_error
0.9760401498812098
root_relative_squared_error
1.0839466752668998
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
105.53191500366665
usercpu_time_millis
103.72345399810001
usercpu_time_millis
99.23216298921034
usercpu_time_millis
99.71542299899738
usercpu_time_millis
99.82952100108378
usercpu_time_millis
99.8308400157839
usercpu_time_millis
102.56141400896013
usercpu_time_millis
100.98306900181342
usercpu_time_millis
100.4960270220181
usercpu_time_millis
99.86941200622823
usercpu_time_millis_testing
5.775911995442584
usercpu_time_millis_testing
5.723748996388167
usercpu_time_millis_testing
5.6995259947143495
usercpu_time_millis_testing
5.749314994318411
usercpu_time_millis_testing
5.710432000341825
usercpu_time_millis_testing
5.745836009737104
usercpu_time_millis_testing
6.252469000173733
usercpu_time_millis_testing
5.696859996533021
usercpu_time_millis_testing
5.638230009935796
usercpu_time_millis_testing
5.640664006932639
usercpu_time_millis_training
99.75600300822407
usercpu_time_millis_training
97.99970500171185
usercpu_time_millis_training
93.53263699449599
usercpu_time_millis_training
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usercpu_time_millis_training
94.11908900074195
usercpu_time_millis_training
94.0850040060468
usercpu_time_millis_training
96.3089450087864
usercpu_time_millis_training
95.2862090052804
usercpu_time_millis_training
94.8577970120823
usercpu_time_millis_training
94.22874799929559
wall_clock_time_millis
141.2217617034912
wall_clock_time_millis
151.75342559814453
wall_clock_time_millis
99.25484657287598
wall_clock_time_millis
131.77800178527832
wall_clock_time_millis
99.85637664794922
wall_clock_time_millis
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wall_clock_time_millis
102.5843620300293
wall_clock_time_millis
101.08804702758789
wall_clock_time_millis
108.54053497314453
wall_clock_time_millis
100.09121894836426
wall_clock_time_millis_testing
5.786418914794922
wall_clock_time_millis_testing
5.734682083129883
wall_clock_time_millis_testing
5.709648132324219
wall_clock_time_millis_testing
5.760669708251953
wall_clock_time_millis_testing
5.722522735595703
wall_clock_time_millis_testing
5.75709342956543
wall_clock_time_millis_testing
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wall_clock_time_millis_testing
5.707263946533203
wall_clock_time_millis_testing
5.648612976074219
wall_clock_time_millis_testing
5.650520324707031
wall_clock_time_millis_training
135.4353427886963
wall_clock_time_millis_training
146.01874351501465
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
102.89192199707031
wall_clock_time_millis_training
94.44069862365723