10383344
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)
8231945
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
12.383653966672204
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.7815414630792017
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
21688397
description
https://api.openml.org/data/download/21688397/description.xml
-1
21688398
predictions
https://api.openml.org/data/download/21688398/predictions.arff
area_under_roc_curve
0.8665917927106673 [0.871346,0.876657,0.805817,0.852479]
average_cost
0
f_measure
0.8322009200740664 [0.848746,0.83938,0.751402,0.801893]
kappa
0.7434333505446422
kb_relative_information_score
0.7493938593248022
mean_absolute_error
0.08321114369501466
mean_prior_absolute_error
0.3312381502905654
number_of_instances
5456 [2205,2097,328,826]
precision
0.84897191317401 [0.89697,0.756116,0.971014,0.908116]
predictive_accuracy
0.8335777126099707
prior_entropy
1.7146330399083418
recall
0.8335777126099707 [0.805442,0.943252,0.612805,0.717918]
relative_absolute_error
0.25121243921336056
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0.40694354051108633
root_mean_squared_error
0.28846341829600275
root_relative_squared_error
0.7088536604702395
total_cost
0
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0.8669532335480612 [0.876018,0.880357,0.80303,0.83392]
area_under_roc_curve
0.8780445560186939 [0.879548,0.893155,0.787879,0.871583]
area_under_roc_curve
0.8768530353680382 [0.879894,0.887202,0.80303,0.871959]
area_under_roc_curve
0.8700982517044193 [0.874554,0.883631,0.771753,0.86315]
area_under_roc_curve
0.8611557197247183 [0.859439,0.878869,0.848485,0.825926]
area_under_roc_curve
0.8702315646474837 [0.889152,0.865476,0.863636,0.834734]
area_under_roc_curve
0.8562964663278883 [0.869091,0.861016,0.810551,0.828079]
area_under_roc_curve
0.8595077761744429 [0.862186,0.866541,0.75,0.876884]
area_under_roc_curve
0.872118470849713 [0.870922,0.887054,0.817205,0.859374]
area_under_roc_curve
0.8546075168153213 [0.852718,0.863188,0.801077,0.859374]
average_cost
0
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
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0
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0
average_cost
0
f_measure
0.8316617165036494 [0.856436,0.840816,0.754717,0.772414]
f_measure
0.8459892089282779 [0.859189,0.857749,0.730769,0.826667]
f_measure
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f_measure
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f_measure
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f_measure
0.8372900122198007 [0.871671,0.827004,0.842105,0.77027]
f_measure
0.820562918544253 [0.84507,0.823028,0.740741,0.780142]
f_measure
0.8218536467925949 [0.838235,0.826722,0.666667,0.825806]
f_measure
0.8388057763851443 [0.847775,0.852174,0.763636,0.810811]
f_measure
0.8171596639755919 [0.825472,0.825054,0.727273,0.810811]
kappa
0.7426222629722297
kappa
0.7656106959062815
kappa
0.7633998122220732
kappa
0.7510775862068965
kappa
0.7343437009891457
kappa
0.7495529018858007
kappa
0.7243700370704443
kappa
0.7286025521319639
kappa
0.7542016153279903
kappa
0.7203505789424582
kb_relative_information_score
0.7459510878841212
kb_relative_information_score
0.7669804482186671
kb_relative_information_score
0.7672337257116268
kb_relative_information_score
0.7521037292651311
kb_relative_information_score
0.7443759437967189
kb_relative_information_score
0.7593615223378609
kb_relative_information_score
0.7319685893242898
kb_relative_information_score
0.7340963688381943
kb_relative_information_score
0.7602382355902523
kb_relative_information_score
0.731486546724842
mean_absolute_error
0.08333333333333333
mean_absolute_error
0.076007326007326
mean_absolute_error
0.07692307692307693
mean_absolute_error
0.08058608058608059
mean_absolute_error
0.08608058608058608
mean_absolute_error
0.0815018315018315
mean_absolute_error
0.0889908256880734
mean_absolute_error
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mean_absolute_error
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mean_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
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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
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
545 [221,209,33,82]
number_of_instances
545 [221,209,33,82]
precision
0.8595464947923964 [0.945355,0.735714,1,0.888889]
precision
0.8630083011421754 [0.909091,0.773946,1,0.911765]
precision
0.8574014221073044 [0.892157,0.781746,1,0.9]
precision
0.8519949657409368 [0.882927,0.770428,0.947368,0.938462]
precision
0.8457194514886822 [0.887179,0.75,1,0.916667]
precision
0.8550825154651379 [0.932642,0.742424,1,0.876923]
precision
0.8376464253905643 [0.873786,0.745174,0.909091,0.948276]
precision
0.846119914743768 [0.914439,0.733333,1,0.888889]
precision
0.8503270705448367 [0.878641,0.780876,0.954545,0.909091]
precision
0.8297690151332101 [0.862069,0.751969,0.909091,0.909091]
predictive_accuracy
0.8333333333333333
predictive_accuracy
0.8479853479853481
predictive_accuracy
0.8461538461538461
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
0.8403669724770643
predictive_accuracy
0.818348623853211
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
0.8333333333333334 [0.782805,0.980952,0.606061,0.682927]
recall
0.847985347985348 [0.81448,0.961905,0.575758,0.756098]
recall
0.8461538461538461 [0.827273,0.938095,0.606061,0.759036]
recall
0.8388278388278388 [0.822727,0.942857,0.545455,0.73494]
recall
0.8278388278388278 [0.786364,0.957143,0.69697,0.662651]
recall
0.836996336996337 [0.818182,0.933333,0.727273,0.686747]
recall
0.8220183486238533 [0.818182,0.919048,0.625,0.662651]
recall
0.8238532110091743 [0.773756,0.947368,0.5,0.771084]
recall
0.8403669724770643 [0.819005,0.937799,0.636364,0.731707]
recall
0.818348623853211 [0.791855,0.913876,0.606061,0.731707]
relative_absolute_error
0.25165330130982705
relative_absolute_error
0.2295299341617104
relative_absolute_error
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relative_absolute_error
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relative_absolute_error
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total_cost
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