10382081
8323
Heinrich Peters
9960
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8231667
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"median"
12737
verbose
0
12737
copy
true
13294
with_mean
true
13294
with_std
true
13294
C
86.04139203556576
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.005047142445217977
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
1
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.
1497
wall-robot-navigation
https://www.openml.org/data/download/1592289/phpVeNa5j
-1
21685871
description
https://api.openml.org/data/download/21685871/description.xml
-1
21685872
predictions
https://api.openml.org/data/download/21685872/predictions.arff
area_under_roc_curve
0.9305949964531114 [0.917768,0.943607,0.937074,0.929228]
average_cost
0
f_measure
0.9106543537545492 [0.90158,0.929604,0.90566,0.888752]
kappa
0.864775419534725
kb_relative_information_score
0.8737966441318025
mean_absolute_error
0.04462976539589443
mean_prior_absolute_error
0.3312381502905654
number_of_instances
5456 [2205,2097,328,826]
precision
0.9107795226265897 [0.897528,0.924128,0.935065,0.902622]
predictive_accuracy
0.9107404692082112
prior_entropy
1.7146330399083418
recall
0.9107404692082112 [0.905669,0.935145,0.878049,0.875303]
relative_absolute_error
0.1347361871111306
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.21125758068266906
root_relative_squared_error
0.5191324094181408
total_cost
0
area_under_roc_curve
0.9254598966100781 [0.914208,0.940774,0.89199,0.930036]
area_under_roc_curve
0.9219224453707212 [0.903529,0.946429,0.893939,0.919996]
area_under_roc_curve
0.9287846398691536 [0.907906,0.946726,0.950647,0.93004]
area_under_roc_curve
0.9308922532149733 [0.921542,0.94375,0.908116,0.9322]
area_under_roc_curve
0.9216607548927338 [0.905633,0.933333,0.922293,0.934359]
area_under_roc_curve
0.9436726897956839 [0.936712,0.954464,0.984848,0.918447]
area_under_roc_curve
0.9254101302962262 [0.918217,0.929709,0.961927,0.919522]
area_under_roc_curve
0.9421620655173287 [0.924711,0.951947,0.967775,0.954115]
area_under_roc_curve
0.9378426437194548 [0.936533,0.947425,0.952592,0.911012]
area_under_roc_curve
0.9282148164753962 [0.908769,0.94153,0.938417,0.94258]
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
0.9009047326858466 [0.899083,0.924883,0.852459,0.863905]
f_measure
0.8988552553835679 [0.885845,0.930233,0.881356,0.860606]
f_measure
0.9065044408758223 [0.890411,0.933649,0.895522,0.884848]
f_measure
0.9118816330759311 [0.905405,0.929245,0.885246,0.895706]
f_measure
0.9009237722190789 [0.887872,0.914153,0.888889,0.906832]
f_measure
0.9301962247755021 [0.922049,0.943128,0.984615,0.897436]
f_measure
0.9049288298890346 [0.899123,0.917073,0.869565,0.903226]
f_measure
0.9247814717490584 [0.911162,0.940334,0.952381,0.911243]
f_measure
0.919200199845489 [0.921053,0.938875,0.923077,0.8625]
f_measure
0.9080964094421743 [0.892449,0.924883,0.920635,0.902439]
kappa
0.8504739252369627
kappa
0.847015970860185
kappa
0.8591559269225321
kappa
0.8665118269054458
kappa
0.8499557256414694
kappa
0.8941973778818059
kappa
0.8553675776365817
kappa
0.8864739085592932
kappa
0.8775518540834771
kappa
0.8611266830426761
kb_relative_information_score
0.8567746968770354
kb_relative_information_score
0.8527247837599811
kb_relative_information_score
0.8715132580862809
kb_relative_information_score
0.8714041224078193
kb_relative_information_score
0.8604810775212134
kb_relative_information_score
0.9016188936734537
kb_relative_information_score
0.8678355948687593
kb_relative_information_score
0.8991091639839177
kb_relative_information_score
0.8835015098400733
kb_relative_information_score
0.8730581900114687
mean_absolute_error
0.04945054945054945
mean_absolute_error
0.05036630036630037
mean_absolute_error
0.046703296703296704
mean_absolute_error
0.04395604395604396
mean_absolute_error
0.04945054945054945
mean_absolute_error
0.0347985347985348
mean_absolute_error
0.047706422018348627
mean_absolute_error
0.03761467889908257
mean_absolute_error
0.04036697247706422
mean_absolute_error
0.045871559633027525
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
0.901913919530485 [0.911628,0.912037,0.928571,0.83908]
precision
0.9004207071221674 [0.894009,0.909091,1,0.855422]
precision
0.9064805700016719 [0.894495,0.929245,0.882353,0.890244]
precision
0.9126142854697594 [0.897321,0.920561,0.964286,0.9125]
precision
0.9017510713644751 [0.894009,0.891403,0.933333,0.935897]
precision
0.9314584458356868 [0.90393,0.938679,1,0.958904]
precision
0.9085175877167792 [0.868644,0.94,0.810811,0.972222]
precision
0.9249465940619126 [0.917431,0.938095,0.967742,0.895349]
precision
0.9203767398909893 [0.893617,0.96,0.9375,0.884615]
precision
0.9085343414272091 [0.902778,0.907834,0.966667,0.902439]
predictive_accuracy
0.9010989010989011
predictive_accuracy
0.8992673992673993
predictive_accuracy
0.9065934065934066
predictive_accuracy
0.9120879120879121
predictive_accuracy
0.9010989010989011
predictive_accuracy
0.9304029304029303
predictive_accuracy
0.9045871559633027
predictive_accuracy
0.9247706422018349
predictive_accuracy
0.9192660550458716
predictive_accuracy
0.9082568807339451
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
recall
0.9010989010989011 [0.886878,0.938095,0.787879,0.890244]
recall
0.8992673992673993 [0.877828,0.952381,0.787879,0.865854]
recall
0.9065934065934066 [0.886364,0.938095,0.909091,0.879518]
recall
0.9120879120879121 [0.913636,0.938095,0.818182,0.879518]
recall
0.9010989010989011 [0.881818,0.938095,0.848485,0.879518]
recall
0.9304029304029304 [0.940909,0.947619,0.969697,0.843373]
recall
0.9045871559633027 [0.931818,0.895238,0.9375,0.843373]
recall
0.9247706422018349 [0.904977,0.942584,0.9375,0.927711]
recall
0.9192660550458716 [0.950226,0.91866,0.909091,0.841463]
recall
0.908256880733945 [0.882353,0.942584,0.878788,0.902439]
relative_absolute_error
0.1493327282497875
relative_absolute_error
0.15209814914330205
relative_absolute_error
0.14093802796085775
relative_absolute_error
0.1326475557278661
relative_absolute_error
0.14922850019384937
relative_absolute_error
0.10501264828456065
relative_absolute_error
0.14407567931286994
relative_absolute_error
0.1136043578278458
relative_absolute_error
0.12188606818496617
relative_absolute_error
0.13850689566473426
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
0.22237479499833035
root_mean_squared_error
0.22442437560635067
root_mean_squared_error
0.2161094553768916
root_mean_squared_error
0.20965696734438366
root_mean_squared_error
0.22237479499833035
root_mean_squared_error
0.18654365386829647
root_mean_squared_error
0.2184179983846309
root_mean_squared_error
0.19394504092418186
root_mean_squared_error
0.20091533658997818
root_mean_squared_error
0.2141764684390597
root_relative_squared_error
0.5466075929149047
root_relative_squared_error
0.5516455574137296
root_relative_squared_error
0.5308363235426206
root_relative_squared_error
0.5149868780895942
root_relative_squared_error
0.546226070578863
root_relative_squared_error
0.45821293301099225
root_relative_squared_error
0.5369186467844026
root_relative_squared_error
0.4767849706242084
root_relative_squared_error
0.49379556155210175
root_relative_squared_error
0.5263878372806452
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
944.4962970000006
usercpu_time_millis
983.2733050000115
usercpu_time_millis
944.2282500000374
usercpu_time_millis
953.5969639998712
usercpu_time_millis
1008.5060219998923
usercpu_time_millis
1474.3004839999685
usercpu_time_millis
955.0962310000841
usercpu_time_millis
932.7786699999479
usercpu_time_millis
956.6590799998949
usercpu_time_millis
992.3962459999984
usercpu_time_millis_testing
65.16554500001348
usercpu_time_millis_testing
60.15861899993524
usercpu_time_millis_testing
59.430123999959505
usercpu_time_millis_testing
59.92650399991817
usercpu_time_millis_testing
92.61925999999221
usercpu_time_millis_testing
91.02913799995349
usercpu_time_millis_testing
59.74330700007613
usercpu_time_millis_testing
66.12104999999247
usercpu_time_millis_testing
58.35755299995071
usercpu_time_millis_testing
60.21732300007443
usercpu_time_millis_training
879.3307519999871
usercpu_time_millis_training
923.1146860000763
usercpu_time_millis_training
884.7981260000779
usercpu_time_millis_training
893.670459999953
usercpu_time_millis_training
915.8867619999
usercpu_time_millis_training
1383.271346000015
usercpu_time_millis_training
895.352924000008
usercpu_time_millis_training
866.6576199999554
usercpu_time_millis_training
898.3015269999441
usercpu_time_millis_training
932.178922999924
wall_clock_time_millis
944.5500373840332
wall_clock_time_millis
984.2972755432129
wall_clock_time_millis
944.2479610443115
wall_clock_time_millis
953.6657333374023
wall_clock_time_millis
1008.5301399230957
wall_clock_time_millis
1474.4086265563965
wall_clock_time_millis
955.1312923431396
wall_clock_time_millis
932.9969882965088
wall_clock_time_millis
956.7787647247314
wall_clock_time_millis
992.4447536468506
wall_clock_time_millis_testing
65.17338752746582
wall_clock_time_millis_testing
60.166120529174805
wall_clock_time_millis_testing
59.43775177001953
wall_clock_time_millis_testing
59.95988845825195
wall_clock_time_millis_testing
92.62704849243164
wall_clock_time_millis_testing
91.06111526489258
wall_clock_time_millis_testing
59.76510047912598
wall_clock_time_millis_testing
66.29157066345215
wall_clock_time_millis_testing
58.3648681640625
wall_clock_time_millis_testing
60.24026870727539
wall_clock_time_millis_training
879.3766498565674
wall_clock_time_millis_training
924.1311550140381
wall_clock_time_millis_training
884.810209274292
wall_clock_time_millis_training
893.7058448791504
wall_clock_time_millis_training
915.9030914306641
wall_clock_time_millis_training
1383.347511291504
wall_clock_time_millis_training
895.3661918640137
wall_clock_time_millis_training
866.7054176330566
wall_clock_time_millis_training
898.413896560669
wall_clock_time_millis_training
932.2044849395752