10382310
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)
8231675
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
0.6924057373577415
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.46594279667222027
13389
decision_function_shape
"ovr"
13389
degree
2
13389
gamma
0.027501589087229522
13389
kernel
"poly"
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
21686329
description
https://api.openml.org/data/download/21686329/description.xml
-1
21686330
predictions
https://api.openml.org/data/download/21686330/predictions.arff
area_under_roc_curve
0.8858906981696734 [0.869887,0.915099,0.938989,0.833373]
average_cost
0
f_measure
0.8543222518980781 [0.843964,0.893968,0.913112,0.757979]
kappa
0.7792587778502801
kb_relative_information_score
0.7929406628570262
mean_absolute_error
0.07221407624633432
mean_prior_absolute_error
0.3312381502905654
number_of_instances
5456 [2205,2097,328,826]
precision
0.8560441426179222 [0.822012,0.883558,0.947541,0.840708]
predictive_accuracy
0.8555718475073314
prior_entropy
1.7146330399083418
recall
0.8555718475073314 [0.86712,0.904626,0.881098,0.690073]
relative_absolute_error
0.21801255737899577
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.26872676875654633
root_relative_squared_error
0.660353936123543
total_cost
0
area_under_roc_curve
0.8841685299307804 [0.867692,0.912202,0.937445,0.83534]
area_under_roc_curve
0.8834029619805481 [0.866787,0.925,0.863636,0.82961]
area_under_roc_curve
0.8785252975693492 [0.851548,0.913095,0.919369,0.846327]
area_under_roc_curve
0.8934133474958795 [0.8849,0.925595,0.908116,0.82871]
area_under_roc_curve
0.8840982449943144 [0.861322,0.922321,0.952596,0.820526]
area_under_roc_curve
0.8857306752883082 [0.878026,0.908333,0.984848,0.809558]
area_under_roc_curve
0.8711819936486079 [0.858566,0.893355,0.963877,0.812784]
area_under_roc_curve
0.8990674286726918 [0.883254,0.911013,0.95215,0.890627]
area_under_roc_curve
0.8934460243180546 [0.878729,0.918511,0.954545,0.844637]
area_under_roc_curve
0.8859040086316905 [0.868031,0.921544,0.954545,0.815611]
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
0.8489654593781016 [0.842342,0.88993,0.90625,0.738854]
f_measure
0.8514669177814246 [0.840708,0.903226,0.842105,0.751678]
f_measure
0.8414514605107452 [0.822727,0.890443,0.848485,0.764331]
f_measure
0.8642461270298092 [0.860927,0.904872,0.885246,0.761905]
f_measure
0.8515712182446064 [0.833703,0.901869,0.923077,0.743243]
f_measure
0.8547146606408994 [0.852747,0.885246,0.984615,0.731034]
f_measure
0.8368575457162248 [0.829787,0.871046,0.895522,0.746479]
f_measure
0.8718220049656699 [0.859649,0.892683,0.935484,0.82716]
f_measure
0.8637185772040726 [0.854626,0.899522,0.952381,0.76129]
f_measure
0.8565071270520771 [0.842105,0.899767,0.952381,0.746479]
kappa
0.7716762711000053
kappa
0.774542038515735
kappa
0.7610320873304665
kappa
0.7947685495082643
kappa
0.7760746417860714
kappa
0.7812005507490597
kappa
0.752525825859916
kappa
0.8049231964983329
kappa
0.7930468248877487
kappa
0.7827898550724638
kb_relative_information_score
0.7872956489768508
kb_relative_information_score
0.7787543194469311
kb_relative_information_score
0.7776145917610213
kb_relative_information_score
0.8001229867606707
kb_relative_information_score
0.7904440934949862
kb_relative_information_score
0.7972434089962919
kb_relative_information_score
0.7718395261567048
kb_relative_information_score
0.8229381160595254
kb_relative_information_score
0.8077462629086096
kb_relative_information_score
0.7954702181104341
mean_absolute_error
0.07509157509157509
mean_absolute_error
0.07326007326007326
mean_absolute_error
0.07875457875457875
mean_absolute_error
0.06684981684981685
mean_absolute_error
0.07326007326007326
mean_absolute_error
0.07142857142857142
mean_absolute_error
0.08073394495412844
mean_absolute_error
0.06422018348623854
mean_absolute_error
0.06788990825688074
mean_absolute_error
0.07064220183486239
mean_prior_absolute_error
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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
0.8488610600226397 [0.838565,0.875576,0.935484,0.773333]
precision
0.8554252842632374 [0.822511,0.875,1,0.835821]
precision
0.8414798209318757 [0.822727,0.872146,0.848485,0.810811]
precision
0.8678767726965332 [0.83691,0.882353,0.964286,0.875]
precision
0.8537240283352543 [0.813853,0.885321,0.9375,0.846154]
precision
0.8580070695719288 [0.825532,0.870968,1,0.854839]
precision
0.8451427868543194 [0.78,0.890547,0.857143,0.898305]
precision
0.873271054571552 [0.834043,0.910448,0.966667,0.848101]
precision
0.8647386354013337 [0.832618,0.899522,1,0.808219]
precision
0.8611835513045742 [0.817021,0.877273,1,0.883333]
predictive_accuracy
0.8498168498168498
predictive_accuracy
0.8534798534798534
predictive_accuracy
0.8424908424908425
predictive_accuracy
0.8663003663003663
predictive_accuracy
0.8534798534798534
predictive_accuracy
0.8571428571428571
predictive_accuracy
0.8385321100917431
predictive_accuracy
0.8715596330275229
predictive_accuracy
0.8642201834862385
predictive_accuracy
0.8587155963302752
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
0.8498168498168498 [0.846154,0.904762,0.878788,0.707317]
recall
0.8534798534798534 [0.859729,0.933333,0.727273,0.682927]
recall
0.8424908424908425 [0.822727,0.909524,0.848485,0.722892]
recall
0.8663003663003663 [0.886364,0.928571,0.818182,0.674699]
recall
0.8534798534798534 [0.854545,0.919048,0.909091,0.662651]
recall
0.8571428571428571 [0.881818,0.9,0.969697,0.638554]
recall
0.8385321100917431 [0.886364,0.852381,0.9375,0.638554]
recall
0.8715596330275229 [0.886878,0.875598,0.90625,0.807229]
recall
0.8642201834862385 [0.877828,0.899522,0.909091,0.719512]
recall
0.8587155963302753 [0.868778,0.923445,0.909091,0.646341]
relative_absolute_error
0.2267645132681958
relative_absolute_error
0.22123367148116668
relative_absolute_error
0.23766020401242674
relative_absolute_error
0.2017348243361297
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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relative_absolute_error
0.2049902055838067
relative_absolute_error
0.21330061932369077
root_mean_prior_squared_error
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root_mean_prior_squared_error
0.4068271240296317
root_mean_prior_squared_error
0.40711128043132166
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root_mean_prior_squared_error
0.40711128043132166
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0.40711128043132166
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_mean_squared_error
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root_mean_squared_error
0.2657860075979591
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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root_relative_squared_error
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root_relative_squared_error
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total_cost
0
total_cost
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total_cost
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total_cost
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total_cost
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total_cost
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usercpu_time_millis
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