10559460
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)
8259948
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
9947.045017657287
17495
cache_size
200
17495
class_weight
null
17495
coef0
0.13893166748012198
17495
decision_function_shape
"ovr"
17495
degree
2
17495
gamma
9.972833450436674e-05
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
22043892
description
https://api.openml.org/data/download/22043892/description.xml
-1
22043893
predictions
https://api.openml.org/data/download/22043893/predictions.arff
area_under_roc_curve
0.9375582055217162 [0.920566,0.941035,0.984858,0.955309]
average_cost
0
f_measure
0.8124221726372544 [0.815898,0.839674,0.76699,0.752]
kappa
0.7154490844677163
kb_relative_information_score
0.641629598183925
mean_absolute_error
0.1501790829009963
mean_prior_absolute_error
0.3312381502905654
weighted_recall
0.813966275659824 [0.809977,0.88412,0.722561,0.682809]
number_of_instances
5456 [2205,2097,328,826]
precision
0.8152609776869798 [0.821905,0.799483,0.817241,0.836795]
predictive_accuracy
0.813966275659824
prior_entropy
1.7146330399083418
relative_absolute_error
0.45338703518679146
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.2618951535115672
root_relative_squared_error
0.6435663118835828
total_cost
0
unweighted_recall
0.7748667970634091 [0.809977,0.88412,0.722561,0.682809]
area_under_roc_curve
0.9419160326548244 [0.935287,0.941057,0.985114,0.944596]
area_under_roc_curve
0.9389793426784195 [0.92039,0.943778,0.981098,0.95984]
area_under_roc_curve
0.93371549227531 [0.916076,0.931704,0.979798,0.967238]
area_under_roc_curve
0.9426337066457184 [0.929852,0.950014,0.96952,0.947149]
area_under_roc_curve
0.9356028533167723 [0.908352,0.947619,0.983756,0.958287]
area_under_roc_curve
0.9349279826709629 [0.919548,0.937132,0.987005,0.949413]
area_under_roc_curve
0.9308643413865061 [0.911217,0.932822,0.990253,0.955093]
area_under_roc_curve
0.9347328943478146 [0.923496,0.927731,0.99403,0.959422]
area_under_roc_curve
0.9489546344838721 [0.934948,0.955613,0.987038,0.954407]
area_under_roc_curve
0.9352409764978741 [0.909181,0.943979,0.993904,0.959595]
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
0.8136339109489429 [0.821918,0.835214,0.754098,0.76]
f_measure
0.796281989842591 [0.806378,0.832579,0.741935,0.697987]
f_measure
0.7948234113760789 [0.804651,0.813333,0.794118,0.722222]
f_measure
0.8255225173412426 [0.836449,0.857778,0.644068,0.787097]
f_measure
0.8212338673615815 [0.807339,0.852608,0.774194,0.797386]
f_measure
0.8030746085169438 [0.812785,0.829596,0.818182,0.704225]
f_measure
0.7947016031878418 [0.795455,0.822727,0.757576,0.736111]
f_measure
0.8180178519638579 [0.82167,0.830986,0.819672,0.775]
f_measure
0.8250680705654024 [0.832579,0.861678,0.758621,0.738255]
f_measure
0.8300317543077814 [0.81982,0.860412,0.8,0.792208]
kappa
0.7168064335563783
kappa
0.6916315392237906
kappa
0.6896742414156826
kappa
0.7369645657588585
kappa
0.7288435840855216
kappa
0.7026052104208418
kappa
0.6884495349531863
kappa
0.7237199870961796
kappa
0.7350770774187209
kappa
0.7408249767393777
kb_relative_information_score
0.6475139390953099
kb_relative_information_score
0.6237923714277139
kb_relative_information_score
0.6387749739969106
kb_relative_information_score
0.6428994252504223
kb_relative_information_score
0.6455908499967979
kb_relative_information_score
0.6327039488605952
kb_relative_information_score
0.6329934711654321
kb_relative_information_score
0.659361865609168
kb_relative_information_score
0.6517360798135767
kb_relative_information_score
0.6409799171155467
mean_absolute_error
0.1473243841950892
mean_absolute_error
0.15468824165765904
mean_absolute_error
0.15133780534001035
mean_absolute_error
0.14820958345647595
mean_absolute_error
0.15025205711548362
mean_absolute_error
0.15297182038820561
mean_absolute_error
0.15277978927933142
mean_absolute_error
0.14600725972497497
mean_absolute_error
0.1453761353070202
mean_absolute_error
0.1528369463168172
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
0.8166641149265805 [0.829493,0.793991,0.821429,0.838235]
precision
0.79817162782477 [0.811927,0.793103,0.793103,0.776119]
precision
0.8014181986371682 [0.82381,0.7625,0.771429,0.852459]
precision
0.8290050405435022 [0.860577,0.804167,0.730769,0.847222]
precision
0.8238228322793182 [0.814815,0.813853,0.827586,0.871429]
precision
0.8087740927501462 [0.816514,0.783898,0.818182,0.847458]
precision
0.7998257530794199 [0.795455,0.786957,0.735294,0.868852]
precision
0.8184811197904238 [0.81982,0.815668,0.862069,0.805195]
precision
0.8284719742004939 [0.832579,0.818966,0.88,0.820896]
precision
0.8351803092844767 [0.816143,0.824561,1,0.847222]
predictive_accuracy
0.815018315018315
predictive_accuracy
0.7985347985347986
predictive_accuracy
0.7967032967032966
predictive_accuracy
0.8278388278388279
predictive_accuracy
0.8223443223443223
predictive_accuracy
0.8058608058608059
predictive_accuracy
0.7963302752293577
predictive_accuracy
0.818348623853211
predictive_accuracy
0.8275229357798165
predictive_accuracy
0.8311926605504587
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
0.44489601175357807
relative_absolute_error
0.46713368024354657
relative_absolute_error
0.4566969217622624
relative_absolute_error
0.44725678681653774
relative_absolute_error
0.4534204247175474
relative_absolute_error
0.46162794108653105
relative_absolute_error
0.4614022807501829
relative_absolute_error
0.4409730845705514
relative_absolute_error
0.43895601907143594
relative_absolute_error
0.46148356730339585
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
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root_mean_prior_squared_error
0.4068795919478491
root_mean_squared_error
0.258256634379304
root_mean_squared_error
0.26552318018609716
root_mean_squared_error
0.26533613419782603
root_mean_squared_error
0.25875936430011864
root_mean_squared_error
0.2611310017735185
root_mean_squared_error
0.2673268850936489
root_mean_squared_error
0.2687437101446871
root_mean_squared_error
0.2594642954111197
root_mean_squared_error
0.2534129629569126
root_mean_squared_error
0.26059736164450537
root_relative_squared_error
0.6348068236484979
root_relative_squared_error
0.6526683313444889
root_relative_squared_error
0.6517533336750353
root_relative_squared_error
0.6355986108416628
root_relative_squared_error
0.6414241371471171
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
0.7718809167876599 [0.81448,0.880952,0.69697,0.695122]
unweighted_recall
0.7520528729997884 [0.800905,0.87619,0.69697,0.634146]
unweighted_recall
0.7756200125176029 [0.786364,0.871429,0.818182,0.626506]
unweighted_recall
0.7608453293694257 [0.813636,0.919048,0.575758,0.73494]
unweighted_recall
0.789362645386742 [0.8,0.895238,0.727273,0.73494]
unweighted_recall
0.7776586866948313 [0.809091,0.880952,0.818182,0.60241]
unweighted_recall
0.7692908810566943 [0.795455,0.861905,0.78125,0.638554]
unweighted_recall
0.7996643289312612 [0.823529,0.84689,0.78125,0.746988]
unweighted_recall
0.7697671171487528 [0.832579,0.909091,0.666667,0.670732]
unweighted_recall
0.7834050121390603 [0.823529,0.899522,0.666667,0.743902]
usercpu_time_millis
6360.651999999959
usercpu_time_millis
6334.9680000000035
usercpu_time_millis
6262.9939999999915
usercpu_time_millis
6383.913999999948
usercpu_time_millis
6326.183999999956
usercpu_time_millis
6232.323999999949
usercpu_time_millis
6276.732000000038
usercpu_time_millis
6182.663999999932
usercpu_time_millis
6254.764000000023
usercpu_time_millis
6211.8700000000335
usercpu_time_millis_testing
75.43599999996786
usercpu_time_millis_testing
78.21400000000267
usercpu_time_millis_testing
75.6279999999947
usercpu_time_millis_testing
81.34799999999132
usercpu_time_millis_testing
74.18799999999237
usercpu_time_millis_testing
74.7559999999794
usercpu_time_millis_testing
71.99200000002293
usercpu_time_millis_testing
75.36799999996902
usercpu_time_millis_testing
86.78400000002284
usercpu_time_millis_testing
74.28000000004431
usercpu_time_millis_training
6285.215999999991
usercpu_time_millis_training
6256.754000000001
usercpu_time_millis_training
6187.365999999997
usercpu_time_millis_training
6302.565999999956
usercpu_time_millis_training
6251.995999999963
usercpu_time_millis_training
6157.567999999969
usercpu_time_millis_training
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usercpu_time_millis_training
6107.295999999962
usercpu_time_millis_training
6167.98
usercpu_time_millis_training
6137.589999999989
wall_clock_time_millis
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wall_clock_time_millis
3376.6775131225586
wall_clock_time_millis
3421.8411445617676
wall_clock_time_millis
3347.0823764801025
wall_clock_time_millis
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wall_clock_time_millis
3272.9625701904297
wall_clock_time_millis
3351.686954498291
wall_clock_time_millis
3321.2292194366455
wall_clock_time_millis
3337.1832370758057
wall_clock_time_millis
3311.4123344421387
wall_clock_time_millis_testing
48.422813415527344
wall_clock_time_millis_testing
41.08476638793945
wall_clock_time_millis_testing
41.17393493652344
wall_clock_time_millis_testing
41.71013832092285
wall_clock_time_millis_testing
39.28494453430176
wall_clock_time_millis_testing
39.182186126708984
wall_clock_time_millis_testing
38.97380828857422
wall_clock_time_millis_testing
38.47002983093262
wall_clock_time_millis_testing
45.5021858215332
wall_clock_time_millis_testing
41.39900207519531
wall_clock_time_millis_training
3356.69207572937
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
3282.759189605713
wall_clock_time_millis_training
3291.6810512542725
wall_clock_time_millis_training
3270.0133323669434
weighted_recall
0.815018315018315 [0.81448,0.880952,0.69697,0.695122]
weighted_recall
0.7985347985347986 [0.800905,0.87619,0.69697,0.634146]
weighted_recall
0.7967032967032966 [0.786364,0.871429,0.818182,0.626506]
weighted_recall
0.8278388278388278 [0.813636,0.919048,0.575758,0.73494]
weighted_recall
0.8223443223443223 [0.8,0.895238,0.727273,0.73494]
weighted_recall
0.8058608058608059 [0.809091,0.880952,0.818182,0.60241]
weighted_recall
0.7963302752293578 [0.795455,0.861905,0.78125,0.638554]
weighted_recall
0.818348623853211 [0.823529,0.84689,0.78125,0.746988]
weighted_recall
0.8275229357798165 [0.832579,0.909091,0.666667,0.670732]
weighted_recall
0.8311926605504587 [0.823529,0.899522,0.666667,0.743902]