10383129
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)
8231712
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
100000.0
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.00241115807647
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
21687967
description
https://api.openml.org/data/download/21687967/description.xml
-1
21687968
predictions
https://api.openml.org/data/download/21687968/predictions.arff
area_under_roc_curve
0.9405580977104631 [0.931616,0.949528,0.938209,0.942588]
average_cost
0
f_measure
0.9230870147241915 [0.91676,0.93973,0.901716,0.906212]
kappa
0.8835120186944421
kb_relative_information_score
0.8907322714801278
mean_absolute_error
0.03848973607038123
mean_prior_absolute_error
0.3312381502905654
number_of_instances
5456 [2205,2097,328,826]
precision
0.9234980077561685 [0.90246,0.950268,0.923323,0.911765]
predictive_accuracy
0.9230205278592375
prior_entropy
1.7146330399083418
recall
0.9230205278592375 [0.931519,0.929423,0.881098,0.900726]
relative_absolute_error
0.11619958642027692
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.19618801204554073
root_relative_squared_error
0.4821013052551353
total_cost
0
area_under_roc_curve
0.9371600041586429 [0.930045,0.94881,0.920344,0.933269]
area_under_roc_curve
0.9415720760049253 [0.927783,0.95744,0.908116,0.951561]
area_under_roc_curve
0.9504583329998575 [0.937563,0.961905,0.93647,0.96124]
area_under_roc_curve
0.9417310620639534 [0.932111,0.951488,0.922293,0.950272]
area_under_roc_curve
0.9269553644205165 [0.918475,0.94375,0.891015,0.921231]
area_under_roc_curve
0.9407424426434279 [0.935178,0.950893,0.967748,0.919072]
area_under_roc_curve
0.9226823954318063 [0.921958,0.91393,0.964851,0.930488]
area_under_roc_curve
0.9475959996793332 [0.937357,0.953698,0.953125,0.957362]
area_under_roc_curve
0.9579957003737319 [0.951141,0.963851,0.966767,0.958015]
area_under_roc_curve
0.9387348342489744 [0.924606,0.949554,0.952592,0.94366]
average_cost
0
average_cost
0
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0
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0
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0
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0
average_cost
0
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0
average_cost
0
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0
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0.9158073460144504 [0.916479,0.937799,0.861538,0.879518]
f_measure
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f_measure
0.9341219928640729 [0.92517,0.954436,0.892308,0.923077]
f_measure
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f_measure
0.9061857013083546 [0.901345,0.929245,0.83871,0.8875]
f_measure
0.9230387790774265 [0.92,0.942029,0.939394,0.876543]
f_measure
0.9027562664623268 [0.902386,0.898765,0.909091,0.911392]
f_measure
0.9341954865581971 [0.922737,0.946341,0.95082,0.927711]
f_measure
0.9450812292680975 [0.939866,0.958637,0.925373,0.932515]
f_measure
0.9211112225352107 [0.90991,0.937799,0.923077,0.907975]
kappa
0.8727852909892113
kappa
0.8836630021763725
kappa
0.9006429697925513
kappa
0.8863579830141076
kappa
0.8580068125726642
kappa
0.8836116327462824
kappa
0.8524333050648303
kappa
0.8998606623895634
kappa
0.9168594747146017
kappa
0.8806547058254358
kb_relative_information_score
0.8787725161222264
kb_relative_information_score
0.8883066328238427
kb_relative_information_score
0.9070496374204794
kb_relative_information_score
0.8917939605146704
kb_relative_information_score
0.860667264062781
kb_relative_information_score
0.8914815228363444
kb_relative_information_score
0.8674127636663251
kb_relative_information_score
0.9077975387167432
kb_relative_information_score
0.9234356164545693
kb_relative_information_score
0.8906551241546231
mean_absolute_error
0.04212454212454213
mean_absolute_error
0.038461538461538464
mean_absolute_error
0.03296703296703297
mean_absolute_error
0.037545787545787544
mean_absolute_error
0.046703296703296704
mean_absolute_error
0.038461538461538464
mean_absolute_error
0.04862385321100918
mean_absolute_error
0.03302752293577982
mean_absolute_error
0.027522935779816515
mean_absolute_error
0.03944954128440367
mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
0.3311205766710351
mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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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
0.9159470800954317 [0.914414,0.942308,0.875,0.869048]
precision
0.9239077151638728 [0.914027,0.947619,0.964286,0.873563]
precision
0.9343338842772517 [0.923077,0.961353,0.90625,0.906977]
precision
0.9263363930631043 [0.892241,0.965174,0.933333,0.915663]
precision
0.9067768283013267 [0.889381,0.920561,0.896552,0.922078]
precision
0.9236817414404905 [0.9,0.955882,0.939394,0.898734]
precision
0.9060381886052224 [0.863071,0.933333,0.882353,0.96]
precision
0.9354346977545049 [0.900862,0.965174,1,0.927711]
precision
0.9456425126548342 [0.925439,0.975248,0.911765,0.938272]
precision
0.9211732496405293 [0.90583,0.937799,0.9375,0.91358]
predictive_accuracy
0.9157509157509157
predictive_accuracy
0.923076923076923
predictive_accuracy
0.934065934065934
predictive_accuracy
0.924908424908425
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
0.9211009174311927
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
0.9157509157509157 [0.918552,0.933333,0.848485,0.890244]
recall
0.9230769230769231 [0.914027,0.947619,0.818182,0.926829]
recall
0.9340659340659341 [0.927273,0.947619,0.878788,0.939759]
recall
0.924908424908425 [0.940909,0.92381,0.848485,0.915663]
recall
0.9065934065934066 [0.913636,0.938095,0.787879,0.855422]
recall
0.9230769230769231 [0.940909,0.928571,0.939394,0.855422]
recall
0.9027522935779817 [0.945455,0.866667,0.9375,0.86747]
recall
0.9339449541284404 [0.945701,0.92823,0.90625,0.927711]
recall
0.944954128440367 [0.954751,0.942584,0.939394,0.926829]
recall
0.9211009174311927 [0.914027,0.937799,0.909091,0.902439]
relative_absolute_error
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relative_absolute_error
0.1161476775276125
relative_absolute_error
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relative_absolute_error
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relative_absolute_error
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relative_absolute_error
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0.1659003790827993
root_mean_squared_error
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root_relative_squared_error
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total_cost
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