10559483
8323
Heinrich Peters
9960
Supervised Classification
17494
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(4)
8270332
copy
true
17405
with_mean
true
17405
with_std
true
17405
add_indicator
false
17407
copy
true
17407
fill_value
null
17407
missing_values
NaN
17407
strategy
"median"
17407
verbose
0
17407
memory
null
17494
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"}}]
17494
verbose
false
17494
C
2919.7665961619327
17495
cache_size
200
17495
class_weight
null
17495
coef0
0.0
17495
decision_function_shape
"ovr"
17495
degree
3
17495
gamma
6.688334308406325
17495
kernel
"rbf"
17495
max_iter
-1
17495
probability
true
17495
random_state
1
17495
shrinking
true
17495
tol
0.001
17495
verbose
false
17495
openml-python
Sklearn_0.21.2.
1497
wall-robot-navigation
https://www.openml.org/data/download/1592289/phpVeNa5j
-1
22043938
description
https://api.openml.org/data/download/22043938/description.xml
-1
22043939
predictions
https://api.openml.org/data/download/22043939/predictions.arff
area_under_roc_curve
0.9087517721877206 [0.905328,0.909754,0.919319,0.911151]
average_cost
0
f_measure
0.7267539690850494 [0.730559,0.748806,0.641975,0.694277]
kappa
0.5809666946284289
kb_relative_information_score
0.4890700962934853
mean_absolute_error
0.18357947003540317
mean_prior_absolute_error
0.3312381502905654
weighted_recall
0.7313049853372434 [0.604989,0.972341,0.47561,0.558111]
number_of_instances
5456 [2205,2097,328,826]
precision
0.8049717749294337 [0.921907,0.608838,0.987342,0.918327]
predictive_accuracy
0.7313049853372433
prior_entropy
1.7146330399083418
relative_absolute_error
0.5542219997133948
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.2988901896058721
root_relative_squared_error
0.7344758175310795
total_cost
0
unweighted_recall
0.6527628096317394 [0.604989,0.972341,0.47561,0.558111]
area_under_roc_curve
0.9605293331166576 [0.954925,0.967099,0.975338,0.952849]
area_under_roc_curve
0.944051997147044 [0.934716,0.95613,0.964381,0.930101]
area_under_roc_curve
0.9491878995122638 [0.939905,0.958163,0.980093,0.938796]
area_under_roc_curve
0.948342170688829 [0.938852,0.951226,0.96376,0.960069]
area_under_roc_curve
0.936695169290394 [0.924136,0.942687,0.954693,0.94767]
area_under_roc_curve
0.9454908504469481 [0.94604,0.944019,0.994211,0.928387]
area_under_roc_curve
0.9394526915195567 [0.936378,0.929552,0.985776,0.954793]
area_under_roc_curve
0.9432345376887064 [0.932664,0.946692,0.967562,0.953294]
area_under_roc_curve
0.9515178601406514 [0.93992,0.961345,0.990175,0.942172]
area_under_roc_curve
0.9414458897542238 [0.922546,0.951341,0.954486,0.961913]
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
0.7327127422075173 [0.740331,0.749091,0.653061,0.70229]
f_measure
0.724154901203152 [0.71978,0.749077,0.653061,0.70073]
f_measure
0.7745116098342881 [0.783505,0.794574,0.653061,0.748201]
f_measure
0.7414021033402826 [0.772118,0.761553,0.533333,0.691729]
f_measure
0.7146832229142699 [0.727273,0.736462,0.68,0.64]
f_measure
0.7323946615075196 [0.738889,0.751825,0.730769,0.666667]
f_measure
0.7084096475019767 [0.715084,0.724638,0.625,0.681818]
f_measure
0.7276368265125691 [0.717391,0.754647,0.545455,0.757143]
f_measure
0.7222427074629932 [0.715447,0.754159,0.64,0.692308]
f_measure
0.6849587041603881 [0.668588,0.716312,0.68,0.651163]
kappa
0.588375416865174
kappa
0.5785872597846209
kappa
0.6554037137492177
kappa
0.6042647058823529
kappa
0.5611785532308307
kappa
0.5897350267686624
kappa
0.5502874922476954
kappa
0.585523072243027
kappa
0.5764367333221306
kappa
0.5195441021362341
kb_relative_information_score
0.5231107225304862
kb_relative_information_score
0.4801903172522032
kb_relative_information_score
0.5329441178629192
kb_relative_information_score
0.4847267889591068
kb_relative_information_score
0.4687259174891894
kb_relative_information_score
0.4988822088527084
kb_relative_information_score
0.47664831393798207
kb_relative_information_score
0.47990606948601733
kb_relative_information_score
0.4980684250002823
kb_relative_information_score
0.4473444098351079
mean_absolute_error
0.17069853433042165
mean_absolute_error
0.1871829405327309
mean_absolute_error
0.16913646425450457
mean_absolute_error
0.1816652846554683
mean_absolute_error
0.1905872863346792
mean_absolute_error
0.18122814007972726
mean_absolute_error
0.18765334797617383
mean_absolute_error
0.1864975625300852
mean_absolute_error
0.18130973865196648
mean_absolute_error
0.19987389306336711
mean_prior_absolute_error
0.3311434139730841
mean_prior_absolute_error
0.3311434139730841
mean_prior_absolute_error
0.33137469978129297
mean_prior_absolute_error
0.33137469978129297
mean_prior_absolute_error
0.33137469978129297
mean_prior_absolute_error
0.33137469978129297
mean_prior_absolute_error
0.3311205766710351
mean_prior_absolute_error
0.3311024296804111
mean_prior_absolute_error
0.3311861074705109
mean_prior_absolute_error
0.3311861074705109
number_of_instances
546 [221,210,33,82]
number_of_instances
546 [221,210,33,82]
number_of_instances
546 [220,210,33,83]
number_of_instances
546 [220,210,33,83]
number_of_instances
546 [220,210,33,83]
number_of_instances
546 [220,210,33,83]
number_of_instances
545 [220,210,32,83]
number_of_instances
545 [221,209,32,83]
number_of_instances
545 [221,209,33,82]
number_of_instances
545 [221,209,33,82]
precision
0.8191268401990989 [0.950355,0.605882,1,0.938776]
precision
0.7974758173553355 [0.916084,0.611446,1,0.872727]
precision
0.8238192712982628 [0.904762,0.669935,1,0.928571]
precision
0.8188895376881872 [0.941176,0.622356,1,0.92]
precision
0.8052370436730263 [0.923077,0.593023,1,0.952381]
precision
0.8141369559072734 [0.95,0.609467,1,0.897959]
precision
0.7946595933105886 [0.927536,0.584795,0.9375,0.918367]
precision
0.8010676421960342 [0.897959,0.617021,1,0.929825]
precision
0.7953460887789134 [0.891892,0.614458,0.941176,0.9375]
precision
0.7865336823247158 [0.920635,0.569014,1,0.893617]
predictive_accuracy
0.7362637362637362
predictive_accuracy
0.7289377289377289
predictive_accuracy
0.7783882783882784
predictive_accuracy
0.7472527472527473
predictive_accuracy
0.7197802197802197
predictive_accuracy
0.7362637362637362
predictive_accuracy
0.7119266055045871
predictive_accuracy
0.7339449541284404
predictive_accuracy
0.728440366972477
predictive_accuracy
0.691743119266055
prior_entropy
1.7138246699606299
prior_entropy
1.7138246699606299
prior_entropy
1.7164171123716554
prior_entropy
1.7164171123716554
prior_entropy
1.7164171123716554
prior_entropy
1.7164171123716554
prior_entropy
1.7121302787024806
prior_entropy
1.711997401430895
prior_entropy
1.714437400963805
prior_entropy
1.714437400963805
relative_absolute_error
0.5154821963159936
relative_absolute_error
0.5652624592073132
relative_absolute_error
0.51040850241776
relative_absolute_error
0.5482171233210237
relative_absolute_error
0.5751413323360735
relative_absolute_error
0.5468979381930414
relative_absolute_error
0.5667220982240724
relative_absolute_error
0.5632624402970936
relative_absolute_error
0.5474557493874058
relative_absolute_error
0.6035092914673785
root_mean_prior_squared_error
0.4068271240296317
root_mean_prior_squared_error
0.4068271240296317
root_mean_prior_squared_error
0.40711128043132166
root_mean_prior_squared_error
0.40711128043132166
root_mean_prior_squared_error
0.40711128043132166
root_mean_prior_squared_error
0.40711128043132166
root_mean_prior_squared_error
0.4067990554858411
root_mean_prior_squared_error
0.40677675026179705
root_mean_prior_squared_error
0.4068795919478491
root_mean_prior_squared_error
0.4068795919478491
root_mean_squared_error
0.2852499878196756
root_mean_squared_error
0.29951711294803895
root_mean_squared_error
0.2879107245593259
root_mean_squared_error
0.2969392056834729
root_mean_squared_error
0.305819825129924
root_mean_squared_error
0.29931321999142474
root_mean_squared_error
0.30494400631782226
root_mean_squared_error
0.2993730580499423
root_mean_squared_error
0.29675307540458834
root_mean_squared_error
0.3121506395724221
root_relative_squared_error
0.70115774237044
root_relative_squared_error
0.7362269997666706
root_relative_squared_error
0.7072039965443687
root_relative_squared_error
0.7293809333135528
root_relative_squared_error
0.751194672881374
root_relative_squared_error
0.7352122979110569
root_relative_squared_error
0.749618275179196
root_relative_squared_error
0.7359640339750713
root_relative_squared_error
0.7293388050846846
root_relative_squared_error
0.7671818536733868
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
unweighted_recall
0.6582778292964807 [0.606335,0.980952,0.484848,0.560976]
unweighted_recall
0.6574102965422909 [0.59276,0.966667,0.484848,0.585366]
unweighted_recall
0.6946135190111093 [0.690909,0.97619,0.484848,0.626506]
unweighted_recall
0.6383377666510197 [0.654545,0.980952,0.363636,0.554217]
unweighted_recall
0.642126949355865 [0.6,0.971429,0.515152,0.481928]
unweighted_recall
0.6728439732957805 [0.604545,0.980952,0.575758,0.53012]
unweighted_recall
0.6362794522244823 [0.581818,0.952381,0.46875,0.542169]
unweighted_recall
0.6455327876923702 [0.597285,0.971292,0.375,0.638554]
unweighted_recall
0.6517476488876474 [0.597285,0.976077,0.484848,0.54878]
unweighted_recall
0.6296851729910705 [0.524887,0.966507,0.515152,0.512195]
usercpu_time_millis
18746.959999999945
usercpu_time_millis
18865.405999999894
usercpu_time_millis
18881.506000000172
usercpu_time_millis
18967.883999999685
usercpu_time_millis
19202.600000000075
usercpu_time_millis
19002.24799999978
usercpu_time_millis
20129.178000000138
usercpu_time_millis
18696.366000000125
usercpu_time_millis
19139.868000000206
usercpu_time_millis
18849.27800000014
usercpu_time_millis_testing
177.3600000001352
usercpu_time_millis_testing
161.7919999998776
usercpu_time_millis_testing
165.29799999989336
usercpu_time_millis_testing
159.6399999998539
usercpu_time_millis_testing
191.53400000004694
usercpu_time_millis_testing
156.60600000001068
usercpu_time_millis_testing
155.78800000002957
usercpu_time_millis_testing
152.0860000000539
usercpu_time_millis_testing
183.21800000012445
usercpu_time_millis_testing
155.90199999996912
usercpu_time_millis_training
18569.59999999981
usercpu_time_millis_training
18703.614000000016
usercpu_time_millis_training
18716.20800000028
usercpu_time_millis_training
18808.24399999983
usercpu_time_millis_training
19011.066000000028
usercpu_time_millis_training
18845.64199999977
usercpu_time_millis_training
19973.39000000011
usercpu_time_millis_training
18544.28000000007
usercpu_time_millis_training
18956.65000000008
usercpu_time_millis_training
18693.37600000017
wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
9987.92290687561
wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
10386.128902435303
wall_clock_time_millis
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wall_clock_time_millis
9726.85194015503
wall_clock_time_millis
9976.853847503662
wall_clock_time_millis
9767.802953720093
wall_clock_time_millis_testing
97.78189659118652
wall_clock_time_millis_testing
84.96403694152832
wall_clock_time_millis_testing
85.50691604614258
wall_clock_time_millis_testing
81.90631866455078
wall_clock_time_millis_testing
103.3620834350586
wall_clock_time_millis_testing
79.32806015014648
wall_clock_time_millis_testing
79.32090759277344
wall_clock_time_millis_testing
76.30085945129395
wall_clock_time_millis_testing
95.8259105682373
wall_clock_time_millis_testing
78.2160758972168
wall_clock_time_millis_training
9975.641012191772
wall_clock_time_millis_training
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wall_clock_time_millis_training
9902.415990829468
wall_clock_time_millis_training
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wall_clock_time_millis_training
10180.086135864258
wall_clock_time_millis_training
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wall_clock_time_millis_training
11118.435144424438
wall_clock_time_millis_training
9650.551080703735
wall_clock_time_millis_training
9881.027936935425
wall_clock_time_millis_training
9689.586877822876
weighted_recall
0.7362637362637363 [0.606335,0.980952,0.484848,0.560976]
weighted_recall
0.7289377289377289 [0.59276,0.966667,0.484848,0.585366]
weighted_recall
0.7783882783882784 [0.690909,0.97619,0.484848,0.626506]
weighted_recall
0.7472527472527473 [0.654545,0.980952,0.363636,0.554217]
weighted_recall
0.7197802197802198 [0.6,0.971429,0.515152,0.481928]
weighted_recall
0.7362637362637363 [0.604545,0.980952,0.575758,0.53012]
weighted_recall
0.7119266055045872 [0.581818,0.952381,0.46875,0.542169]
weighted_recall
0.7339449541284404 [0.597285,0.971292,0.375,0.638554]
weighted_recall
0.728440366972477 [0.597285,0.976077,0.484848,0.54878]
weighted_recall
0.691743119266055 [0.524887,0.966507,0.515152,0.512195]