10559481
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)
8270239
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
0.1245563730317402
17495
cache_size
200
17495
class_weight
null
17495
coef0
-0.8010632981380832
17495
decision_function_shape
"ovr"
17495
degree
3
17495
gamma
0.2962905189710718
17495
kernel
"poly"
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
22043934
description
https://api.openml.org/data/download/22043934/description.xml
-1
22043935
predictions
https://api.openml.org/data/download/22043935/predictions.arff
area_under_roc_curve
0.7785844865409995 [0.725501,0.838144,0.840658,0.744436]
average_cost
0
f_measure
0.5456861951373034 [0.627737,0.697383,0.30426,0.037402]
kappa
0.33730638817686265
kb_relative_information_score
0.24165794168998528
mean_absolute_error
0.2767525120907208
mean_prior_absolute_error
0.3312381502905654
weighted_recall
0.5866935483870968 [0.702041,0.743443,0.228659,0.023002]
number_of_instances
5456 [2205,2097,328,826]
precision
0.5242794820666871 [0.567657,0.656698,0.454545,0.1]
predictive_accuracy
0.5866935483870968
prior_entropy
1.7146330399083418
relative_absolute_error
0.8355091702086574
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.36964490337874417
root_relative_squared_error
0.9083444423629423
total_cost
0
unweighted_recall
0.42428619701217063 [0.702041,0.743443,0.228659,0.023002]
area_under_roc_curve
0.7787345166619281 [0.726808,0.838875,0.820072,0.748029]
area_under_roc_curve
0.787715991977782 [0.748124,0.842375,0.853151,0.728107]
area_under_roc_curve
0.7730760167429835 [0.714571,0.829422,0.828342,0.763616]
area_under_roc_curve
0.7857243089072247 [0.738985,0.846939,0.840806,0.732832]
area_under_roc_curve
0.7656814887532416 [0.707948,0.833149,0.78841,0.738973]
area_under_roc_curve
0.7759707689180414 [0.724136,0.82782,0.868214,0.745505]
area_under_roc_curve
0.7808831156927757 [0.710378,0.845643,0.872259,0.768685]
area_under_roc_curve
0.7850825071048796 [0.729401,0.849254,0.876584,0.736478]
area_under_roc_curve
0.7813733751780416 [0.742193,0.829118,0.855824,0.735316]
area_under_roc_curve
0.7748565703701764 [0.713843,0.842746,0.808357,0.752779]
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
0.5390559184601802 [0.629167,0.697168,0.218182,0.020408]
f_measure
0.5632037314465278 [0.652344,0.709977,0.382979,0.019608]
f_measure
0.5291582545721938 [0.591195,0.69697,0.327273,0.020408]
f_measure
0.5540599953845468 [0.649087,0.724832,0.133333,0.037383]
f_measure
0.5412625709900935 [0.623742,0.696629,0.259259,0.041667]
f_measure
0.5493216870750864 [0.626506,0.689342,0.382979,0.056604]
f_measure
0.5421193062666565 [0.612245,0.675615,0.384615,0.079208]
f_measure
0.5616293140405704 [0.640974,0.704545,0.44,0.037383]
f_measure
0.5408826544820317 [0.630928,0.694323,0.26087,0.019802]
f_measure
0.5341901913435334 [0.619329,0.684807,0.238095,0.04]
kappa
0.33267934966148316
kappa
0.36351616089112915
kappa
0.3156172161662693
kappa
0.3567762966788238
kappa
0.3338385629978394
kappa
0.3368480451430875
kappa
0.32506286311187205
kappa
0.3585340685563188
kappa
0.33296507503262873
kappa
0.31710957844387055
kb_relative_information_score
0.24298671820454001
kb_relative_information_score
0.2570184498700419
kb_relative_information_score
0.24284503708006192
kb_relative_information_score
0.23686925448277482
kb_relative_information_score
0.21928238053416038
kb_relative_information_score
0.24952603742385154
kb_relative_information_score
0.24744546635905132
kb_relative_information_score
0.2588057694974479
kb_relative_information_score
0.23266024408793864
kb_relative_information_score
0.229201782681939
mean_absolute_error
0.276393541664961
mean_absolute_error
0.2724138995188899
mean_absolute_error
0.2784717953865065
mean_absolute_error
0.27707771365405165
mean_absolute_error
0.28219932955903837
mean_absolute_error
0.2757540965546194
mean_absolute_error
0.27712143039510356
mean_absolute_error
0.27235843605925514
mean_absolute_error
0.27805445309258203
mean_absolute_error
0.2776771308868046
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
0.5089932580250995 [0.583012,0.64257,0.272727,0.0625]
precision
0.5449213915623795 [0.573883,0.692308,0.642857,0.05]
precision
0.5016490642949788 [0.548638,0.638889,0.409091,0.066667]
precision
0.5268291197836337 [0.586081,0.683544,0.25,0.083333]
precision
0.5226823483661123 [0.559567,0.659574,0.333333,0.153846]
precision
0.5378670847302154 [0.561151,0.658009,0.642857,0.130435]
precision
0.5329617156350405 [0.555556,0.637131,0.5,0.222222]
precision
0.5414409494684724 [0.580882,0.670996,0.611111,0.083333]
precision
0.5157503403381654 [0.579545,0.638554,0.461538,0.052632]
precision
0.5225555939016868 [0.548951,0.650862,0.555556,0.111111]
predictive_accuracy
0.5824175824175825
predictive_accuracy
0.6043956043956044
predictive_accuracy
0.5714285714285715
predictive_accuracy
0.5989010989010989
predictive_accuracy
0.5842490842490843
predictive_accuracy
0.5860805860805861
predictive_accuracy
0.5779816513761468
predictive_accuracy
0.5981651376146789
predictive_accuracy
0.5853211009174312
predictive_accuracy
0.5779816513761468
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
0.8346641666484319
relative_absolute_error
0.8226462856393459
relative_absolute_error
0.8403532181856299
relative_absolute_error
0.8361462532804186
relative_absolute_error
0.8516019169396145
relative_absolute_error
0.8321519317455945
relative_absolute_error
0.836919992049968
relative_absolute_error
0.8225806023898489
relative_absolute_error
0.8395716088946763
relative_absolute_error
0.8384323032376266
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
0.36984425113354324
root_mean_squared_error
0.3647630055013004
root_mean_squared_error
0.37183137472105865
root_mean_squared_error
0.3702076287823072
root_mean_squared_error
0.3765929219349687
root_mean_squared_error
0.3674569551594432
root_mean_squared_error
0.3677573753480666
root_mean_squared_error
0.3649709004618684
root_mean_squared_error
0.37131042784941354
root_mean_squared_error
0.3715547862645671
root_relative_squared_error
0.9090943776566021
root_relative_squared_error
0.8966044394688208
root_relative_squared_error
0.9133408790027014
root_relative_squared_error
0.9093524217508387
root_relative_squared_error
0.9250368143471246
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
0.40979399605654987 [0.683258,0.761905,0.181818,0.012195]
unweighted_recall
0.4422874829618015 [0.755656,0.728571,0.272727,0.012195]
unweighted_recall
0.42308780576852867 [0.640909,0.766667,0.272727,0.012048]
unweighted_recall
0.4034266937881396 [0.727273,0.771429,0.090909,0.024096]
unweighted_recall
0.4197145725760184 [0.704545,0.738095,0.212121,0.024096]
unweighted_recall
0.43544307098523966 [0.709091,0.72381,0.272727,0.036145]
unweighted_recall
0.4403896429875345 [0.681818,0.719048,0.3125,0.048193]
unweighted_recall
0.4561013266243436 [0.714932,0.741627,0.34375,0.024096]
unweighted_recall
0.41177163657908206 [0.692308,0.760766,0.181818,0.012195]
unweighted_recall
0.4022001683785268 [0.710407,0.722488,0.151515,0.02439]
usercpu_time_millis
3990.072000000282
usercpu_time_millis
4108.282000000145
usercpu_time_millis
4190.3139999997165
usercpu_time_millis
4614.590000000135
usercpu_time_millis
4244.055999999773
usercpu_time_millis
4262.718000000177
usercpu_time_millis
4427.57000000006
usercpu_time_millis
4347.622000000229
usercpu_time_millis
4015.4899999997724
usercpu_time_millis
4182.944000000134
usercpu_time_millis_testing
57.02800000017305
usercpu_time_millis_testing
56.450000000040745
usercpu_time_millis_testing
67.9619999998522
usercpu_time_millis_testing
61.598000000003594
usercpu_time_millis_testing
59.955999999829146
usercpu_time_millis_testing
64.48999999997795
usercpu_time_millis_testing
62.1640000001662
usercpu_time_millis_testing
56.89000000006672
usercpu_time_millis_testing
56.80199999983415
usercpu_time_millis_testing
63.992000000098415
usercpu_time_millis_training
3933.044000000109
usercpu_time_millis_training
4051.832000000104
usercpu_time_millis_training
4122.351999999864
usercpu_time_millis_training
4552.992000000131
usercpu_time_millis_training
4184.099999999944
usercpu_time_millis_training
4198.228000000199
usercpu_time_millis_training
4365.4059999998935
usercpu_time_millis_training
4290.732000000162
usercpu_time_millis_training
3958.6879999999383
usercpu_time_millis_training
4118.952000000036
wall_clock_time_millis
2134.089946746826
wall_clock_time_millis
2203.5651206970215
wall_clock_time_millis
2226.0806560516357
wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
2374.634265899658
wall_clock_time_millis
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wall_clock_time_millis
2305.15193939209
wall_clock_time_millis_testing
29.98495101928711
wall_clock_time_millis_testing
31.80408477783203
wall_clock_time_millis_testing
36.28969192504883
wall_clock_time_millis_testing
33.70404243469238
wall_clock_time_millis_testing
31.037092208862305
wall_clock_time_millis_testing
37.12725639343262
wall_clock_time_millis_testing
33.73908996582031
wall_clock_time_millis_testing
29.471158981323242
wall_clock_time_millis_testing
30.539989471435547
wall_clock_time_millis_testing
43.36404800415039
wall_clock_time_millis_training
2104.104995727539
wall_clock_time_millis_training
2171.7610359191895
wall_clock_time_millis_training
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wall_clock_time_millis_training
2535.733938217163
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
2345.163106918335
wall_clock_time_millis_training
2151.099920272827
wall_clock_time_millis_training
2261.7878913879395
weighted_recall
0.5824175824175825 [0.683258,0.761905,0.181818,0.012195]
weighted_recall
0.6043956043956044 [0.755656,0.728571,0.272727,0.012195]
weighted_recall
0.5714285714285714 [0.640909,0.766667,0.272727,0.012048]
weighted_recall
0.5989010989010989 [0.727273,0.771429,0.090909,0.024096]
weighted_recall
0.5842490842490843 [0.704545,0.738095,0.212121,0.024096]
weighted_recall
0.5860805860805861 [0.709091,0.72381,0.272727,0.036145]
weighted_recall
0.5779816513761468 [0.681818,0.719048,0.3125,0.048193]
weighted_recall
0.5981651376146789 [0.714932,0.741627,0.34375,0.024096]
weighted_recall
0.5853211009174312 [0.692308,0.760766,0.181818,0.012195]
weighted_recall
0.5779816513761468 [0.710407,0.722488,0.151515,0.02439]