10382069
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)
8231666
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
823.1132602725113
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.024176091883726603
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.12547385078511383
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
21685847
description
https://api.openml.org/data/download/21685847/description.xml
-1
21685848
predictions
https://api.openml.org/data/download/21685848/predictions.arff
area_under_roc_curve
0.9368657051724482 [0.926141,0.946824,0.935355,0.940814]
average_cost
0
f_measure
0.9187395650655223 [0.911512,0.933776,0.901099,0.906863]
kappa
0.8770436716337229
kb_relative_information_score
0.8848969777468146
mean_absolute_error
0.0405975073313783
mean_prior_absolute_error
0.3312381502905654
number_of_instances
5456 [2205,2097,328,826]
precision
0.9188414807851781 [0.907416,0.929584,0.928803,0.918114]
predictive_accuracy
0.9188049853372433
prior_entropy
1.7146330399083418
recall
0.9188049853372434 [0.915646,0.938007,0.875,0.895884]
relative_absolute_error
0.12256289710519684
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.20148823124782822
root_relative_squared_error
0.4951257636250381
total_cost
0
area_under_roc_curve
0.9363320547168097 [0.920452,0.947917,0.93647,0.949406]
area_under_roc_curve
0.9346475780890482 [0.918643,0.955357,0.892965,0.941521]
area_under_roc_curve
0.9485480955794491 [0.936085,0.955952,0.952596,0.96124]
area_under_roc_curve
0.9413534437425825 [0.932962,0.943452,0.935495,0.960616]
area_under_roc_curve
0.9237432484713 [0.913134,0.934524,0.906167,0.931575]
area_under_roc_curve
0.9378192930367499 [0.935178,0.947321,0.954545,0.914127]
area_under_roc_curve
0.9374252264275831 [0.928322,0.941898,0.965826,0.93929]
area_under_roc_curve
0.9383718133718133 [0.931393,0.949875,0.90625,0.940372]
area_under_roc_curve
0.9406242329482689 [0.932832,0.950722,0.936464,0.937563]
area_under_roc_curve
0.9297993846504184 [0.91247,0.94121,0.966767,0.932545]
average_cost
0
average_cost
0
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0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.9138355802740599 [0.908665,0.932401,0.892308,0.888889]
f_measure
0.9154088927290511 [0.902935,0.943396,0.866667,0.89697]
f_measure
0.9322178876926732 [0.924485,0.945368,0.923077,0.923077]
f_measure
0.9249903550751318 [0.918919,0.930788,0.878788,0.944785]
f_measure
0.9047380844729546 [0.894855,0.917647,0.857143,0.917197]
f_measure
0.9211013770296076 [0.92,0.935561,0.952381,0.875]
f_measure
0.9192410964758245 [0.914027,0.928571,0.923077,0.907975]
f_measure
0.9227216977199423 [0.917226,0.93617,0.896552,0.91358]
f_measure
0.9230124967585113 [0.91796,0.941748,0.892308,0.901235]
f_measure
0.9099958986041269 [0.895928,0.926366,0.925373,0.9]
kappa
0.8705547652916072
kappa
0.8721291945198224
kappa
0.8979036953181855
kappa
0.8864905155235097
kappa
0.8550644736439095
kappa
0.8803638309256286
kappa
0.8778954014736059
kappa
0.8825937096079275
kappa
0.8833047840450263
kappa
0.8639984110655029
kb_relative_information_score
0.8818209498645418
kb_relative_information_score
0.8753853836271852
kb_relative_information_score
0.9070860159799661
kb_relative_information_score
0.8950157041141809
kb_relative_information_score
0.8616160934636733
kb_relative_information_score
0.8861219142205488
kb_relative_information_score
0.8895193943504397
kb_relative_information_score
0.8850700278397712
kb_relative_information_score
0.8895950935623955
kb_relative_information_score
0.8777335862074779
mean_absolute_error
0.04304029304029304
mean_absolute_error
0.04212454212454213
mean_absolute_error
0.03388278388278388
mean_absolute_error
0.037545787545787544
mean_absolute_error
0.047619047619047616
mean_absolute_error
0.039377289377289376
mean_absolute_error
0.04036697247706422
mean_absolute_error
0.03853211009174312
mean_absolute_error
0.03853211009174312
mean_absolute_error
0.044954128440366975
mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
0.33137469978129297
mean_prior_absolute_error
0.33137469978129297
mean_prior_absolute_error
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mean_prior_absolute_error
0.33137469978129297
mean_prior_absolute_error
0.3311205766710351
mean_prior_absolute_error
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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
0.9154501051651165 [0.941748,0.913242,0.90625,0.853933]
precision
0.9162032836168631 [0.900901,0.934579,0.962963,0.891566]
precision
0.9323554368744819 [0.930876,0.943128,0.9375,0.906977]
precision
0.9252338044161351 [0.910714,0.933014,0.878788,0.9625]
precision
0.9061437218951817 [0.881057,0.906977,0.9,0.972973]
precision
0.9219640009113693 [0.9,0.937799,1,0.909091]
precision
0.9193506225157602 [0.90991,0.928571,0.909091,0.925]
precision
0.9240096678690833 [0.90708,0.925234,1,0.936709]
precision
0.9236059452252904 [0.9,0.955665,0.90625,0.9125]
precision
0.9101304752736902 [0.895928,0.919811,0.911765,0.923077]
predictive_accuracy
0.9139194139194139
predictive_accuracy
0.9157509157509157
predictive_accuracy
0.9322344322344323
predictive_accuracy
0.924908424908425
predictive_accuracy
0.9047619047619048
predictive_accuracy
0.9212454212454213
predictive_accuracy
0.9192660550458716
predictive_accuracy
0.9229357798165139
predictive_accuracy
0.9229357798165139
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
recall
0.9139194139194139 [0.877828,0.952381,0.878788,0.926829]
recall
0.9157509157509157 [0.904977,0.952381,0.787879,0.902439]
recall
0.9322344322344323 [0.918182,0.947619,0.909091,0.939759]
recall
0.924908424908425 [0.927273,0.928571,0.878788,0.927711]
recall
0.9047619047619048 [0.909091,0.928571,0.818182,0.86747]
recall
0.9212454212454212 [0.940909,0.933333,0.909091,0.843373]
recall
0.9192660550458716 [0.918182,0.928571,0.9375,0.891566]
recall
0.9229357798165138 [0.927602,0.947368,0.8125,0.891566]
recall
0.9229357798165138 [0.936652,0.92823,0.878788,0.890244]
recall
0.9100917431192661 [0.895928,0.933014,0.939394,0.878049]
relative_absolute_error
0.1299747819951854
relative_absolute_error
0.12720936110167083
relative_absolute_error
0.10224915754023012
relative_absolute_error
0.11330312051755229
relative_absolute_error
0.14370151870518827
relative_absolute_error
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relative_absolute_error
0.12191019018781306
relative_absolute_error
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relative_absolute_error
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relative_absolute_error
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root_mean_prior_squared_error
0.4068271240296317
root_mean_prior_squared_error
0.4068271240296317
root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_squared_error
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root_mean_squared_error
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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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total_cost
0
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usercpu_time_millis
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