10559462
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)
8270112
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
126.01836378200282
17495
cache_size
200
17495
class_weight
null
17495
coef0
-0.29389563974752275
17495
decision_function_shape
"ovr"
17495
degree
2
17495
gamma
0.1324591300630764
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
22043896
description
https://api.openml.org/data/download/22043896/description.xml
-1
22043897
predictions
https://api.openml.org/data/download/22043897/predictions.arff
area_under_roc_curve
0.9817032755706148 [0.974085,0.984777,0.993216,0.989668]
average_cost
0
f_measure
0.9214304641273401 [0.914247,0.937013,0.904836,0.907635]
kappa
0.8812026514067569
kb_relative_information_score
0.8521200702257002
mean_absolute_error
0.06249167569151677
mean_prior_absolute_error
0.3312381502905654
weighted_recall
0.9215542521994134 [0.913832,0.947067,0.884146,0.892252]
number_of_instances
5456 [2205,2097,328,826]
precision
0.9215293341779729 [0.914662,0.927171,0.926518,0.923559]
predictive_accuracy
0.9215542521994134
prior_entropy
1.7146330399083418
relative_absolute_error
0.1886608642050997
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.174497478963766
root_relative_squared_error
0.42880021819393443
total_cost
0
unweighted_recall
0.9093243989758155 [0.913832,0.947067,0.884146,0.892252]
area_under_roc_curve
0.9768600215855541 [0.969969,0.981774,0.996869,0.974795]
area_under_roc_curve
0.9827044841808209 [0.973129,0.988095,0.996456,0.989172]
area_under_roc_curve
0.9816334959798715 [0.975279,0.984439,0.969638,0.996149]
area_under_roc_curve
0.9850914653213247 [0.979044,0.984892,0.997755,0.996591]
area_under_roc_curve
0.9812637017408088 [0.973383,0.983461,0.996456,0.990554]
area_under_roc_curve
0.9831635065595415 [0.981497,0.98434,0.999941,0.977933]
area_under_roc_curve
0.9820533217925493 [0.972839,0.98452,0.997746,0.994185]
area_under_roc_curve
0.9813846562317509 [0.974457,0.982826,0.980324,0.99661]
area_under_roc_curve
0.9835779043639811 [0.975323,0.986842,0.997869,0.991756]
area_under_roc_curve
0.9790587491587392 [0.965882,0.985176,0.999171,0.990887]
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
0.921101738068834 [0.920188,0.935484,0.909091,0.891566]
f_measure
0.9207763351187014 [0.91236,0.950588,0.866667,0.888889]
f_measure
0.9340276068510829 [0.926941,0.947867,0.909091,0.927711]
f_measure
0.9322316613748526 [0.927602,0.945368,0.878788,0.932515]
f_measure
0.9026774488179359 [0.892449,0.916667,0.857143,0.9125]
f_measure
0.9211899764409036 [0.918919,0.935867,0.96875,0.871166]
f_measure
0.9173569597922748 [0.90991,0.92891,0.923077,0.90566]
f_measure
0.9281717200219747 [0.9161,0.941176,0.896552,0.939759]
f_measure
0.9266073732353685 [0.92,0.944578,0.909091,0.90566]
f_measure
0.9099778931971471 [0.897959,0.924171,0.925373,0.9]
kappa
0.8813007472420801
kappa
0.8802210080046527
kappa
0.9005555049631181
kappa
0.8975749986057383
kappa
0.8526390833863782
kappa
0.8807393974489873
kappa
0.874783647586809
kappa
0.8913010125805463
kappa
0.8887522389887681
kappa
0.8640067220043796
kb_relative_information_score
0.8514399325701224
kb_relative_information_score
0.8469612229656442
kb_relative_information_score
0.8663207133561815
kb_relative_information_score
0.8573205227865748
kb_relative_information_score
0.8316686078070066
kb_relative_information_score
0.8538466350684827
kb_relative_information_score
0.8514246285823631
kb_relative_information_score
0.8576797540410662
kb_relative_information_score
0.8598964695453342
kb_relative_information_score
0.8446557923513156
mean_absolute_error
0.06273669267936943
mean_absolute_error
0.06290052034289083
mean_absolute_error
0.05743742819978987
mean_absolute_error
0.06231112670118873
mean_absolute_error
0.06893073746942618
mean_absolute_error
0.06239660839870413
mean_absolute_error
0.06334415755732473
mean_absolute_error
0.06022886299117429
mean_absolute_error
0.05835247273672302
mean_absolute_error
0.06627491486675617
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
0.9227988209042215 [0.956098,0.90625,0.909091,0.880952]
precision
0.9215409402182658 [0.90625,0.939535,0.962963,0.9]
precision
0.9340212323594702 [0.931193,0.943396,0.909091,0.927711]
precision
0.9323443684818091 [0.923423,0.943128,0.878788,0.95]
precision
0.9036290504032439 [0.898618,0.891892,0.9,0.948052]
precision
0.92140291862279 [0.910714,0.933649,1,0.8875]
precision
0.9179197955547909 [0.901786,0.924528,0.909091,0.947368]
precision
0.9292416519939456 [0.918182,0.925926,1,0.939759]
precision
0.9271527569895938 [0.90393,0.951456,0.909091,0.935065]
precision
0.9101258186338338 [0.9,0.915493,0.911765,0.923077]
predictive_accuracy
0.9212454212454213
predictive_accuracy
0.9212454212454213
predictive_accuracy
0.934065934065934
predictive_accuracy
0.9322344322344323
predictive_accuracy
0.9029304029304029
predictive_accuracy
0.9212454212454213
predictive_accuracy
0.9174311926605505
predictive_accuracy
0.928440366972477
predictive_accuracy
0.926605504587156
predictive_accuracy
0.910091743119266
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
0.18945474991228053
relative_absolute_error
0.18994948318073296
relative_absolute_error
0.17333075891943026
relative_absolute_error
0.1880382743230368
relative_absolute_error
0.20801448485632854
relative_absolute_error
0.18829623516788047
relative_absolute_error
0.19130238958316537
relative_absolute_error
0.1819040200016315
relative_absolute_error
0.1761923927981151
relative_absolute_error
0.20011381326632893
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
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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
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root_mean_prior_squared_error
0.4068795919478491
root_mean_squared_error
0.1782252980467627
root_mean_squared_error
0.17415163737225517
root_mean_squared_error
0.1635684460069338
root_mean_squared_error
0.1674591757395958
root_mean_squared_error
0.18704844804147203
root_mean_squared_error
0.17262112809268731
root_mean_squared_error
0.17671531843788582
root_mean_squared_error
0.16737318651821922
root_mean_squared_error
0.1710235760555164
root_mean_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
0.41133514051042275
root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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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
0.9162686070505296 [0.886878,0.966667,0.909091,0.902439]
unweighted_recall
0.8865960916176123 [0.918552,0.961905,0.787879,0.878049]
unweighted_recall
0.927977494393157 [0.922727,0.952381,0.909091,0.927711]
unweighted_recall
0.9184719397068795 [0.931818,0.947619,0.878788,0.915663]
unweighted_recall
0.8817301674229385 [0.886364,0.942857,0.818182,0.879518]
unweighted_recall
0.9150458978772231 [0.927273,0.938095,0.939394,0.855422]
unweighted_recall
0.914121257758306 [0.918182,0.933333,0.9375,0.86747]
unweighted_recall
0.9058059961272269 [0.914027,0.956938,0.8125,0.939759]
unweighted_recall
0.9153975790878305 [0.936652,0.937799,0.909091,0.878049]
unweighted_recall
0.9115961689396712 [0.895928,0.933014,0.939394,0.878049]
usercpu_time_millis
6458.468000000039
usercpu_time_millis
6487.1460000000525
usercpu_time_millis
6608.32999999991
usercpu_time_millis
6425.914000000034
usercpu_time_millis
6379.917999999861
usercpu_time_millis
6419.2140000001245
usercpu_time_millis
6382.923999999889
usercpu_time_millis
6496.1260000001175
usercpu_time_millis
6397.484000000077
usercpu_time_millis
6375.876000000062
usercpu_time_millis_testing
90.5760000000555
usercpu_time_millis_testing
86.98600000002443
usercpu_time_millis_testing
81.32999999997992
usercpu_time_millis_testing
82.61600000003
usercpu_time_millis_testing
88.51999999990312
usercpu_time_millis_testing
79.35600000007526
usercpu_time_millis_testing
81.00199999989854
usercpu_time_millis_testing
82.59400000008554
usercpu_time_millis_testing
80.98600000005263
usercpu_time_millis_testing
80.12600000006387
usercpu_time_millis_training
6367.891999999983
usercpu_time_millis_training
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usercpu_time_millis_training
6526.99999999993
usercpu_time_millis_training
6343.298000000004
usercpu_time_millis_training
6291.397999999958
usercpu_time_millis_training
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usercpu_time_millis_training
6301.9219999999905
usercpu_time_millis_training
6413.532000000032
usercpu_time_millis_training
6316.498000000024
usercpu_time_millis_training
6295.749999999998
wall_clock_time_millis
3445.8837509155273
wall_clock_time_millis
3440.026044845581
wall_clock_time_millis
3504.570722579956
wall_clock_time_millis
3515.6149864196777
wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
3419.257402420044
wall_clock_time_millis
3433.506727218628
wall_clock_time_millis
3433.5780143737793
wall_clock_time_millis
3311.9709491729736
wall_clock_time_millis_testing
62.5917911529541
wall_clock_time_millis_testing
45.21894454956055
wall_clock_time_millis_testing
48.23493957519531
wall_clock_time_millis_testing
42.57392883300781
wall_clock_time_millis_testing
46.56076431274414
wall_clock_time_millis_testing
42.51384735107422
wall_clock_time_millis_testing
42.64020919799805
wall_clock_time_millis_testing
43.646812438964844
wall_clock_time_millis_testing
42.4959659576416
wall_clock_time_millis_testing
40.50016403198242
wall_clock_time_millis_training
3383.2919597625732
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
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wall_clock_time_millis_training
3271.470785140991
weighted_recall
0.9212454212454212 [0.886878,0.966667,0.909091,0.902439]
weighted_recall
0.9212454212454212 [0.918552,0.961905,0.787879,0.878049]
weighted_recall
0.9340659340659341 [0.922727,0.952381,0.909091,0.927711]
weighted_recall
0.9322344322344323 [0.931818,0.947619,0.878788,0.915663]
weighted_recall
0.9029304029304029 [0.886364,0.942857,0.818182,0.879518]
weighted_recall
0.9212454212454212 [0.927273,0.938095,0.939394,0.855422]
weighted_recall
0.9174311926605505 [0.918182,0.933333,0.9375,0.86747]
weighted_recall
0.9284403669724771 [0.914027,0.956938,0.8125,0.939759]
weighted_recall
0.926605504587156 [0.936652,0.937799,0.909091,0.878049]
weighted_recall
0.9100917431192661 [0.895928,0.933014,0.939394,0.878049]