10382476
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)
8231681
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
0.6157059094805306
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.704295099468238
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.010149764127328098
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
21686661
description
https://api.openml.org/data/download/21686661/description.xml
-1
21686662
predictions
https://api.openml.org/data/download/21686662/predictions.arff
area_under_roc_curve
0.8388337382602681 [0.828509,0.877347,0.927626,0.733361]
average_cost
0
f_measure
0.7893159152971784 [0.79579,0.844037,0.834553,0.615147]
kappa
0.6862961069992087
kb_relative_information_score
0.7046613015611324
mean_absolute_error
0.10172287390029326
mean_prior_absolute_error
0.3312381502905654
number_of_instances
5456 [2205,2097,328,826]
precision
0.8002399941120015 [0.785935,0.79511,0.802817,0.850427]
predictive_accuracy
0.7965542521994134
prior_entropy
1.7146330399083418
recall
0.7965542521994134 [0.805896,0.89938,0.868902,0.48184]
relative_absolute_error
0.30709890696787473
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.31894023562462803
root_relative_squared_error
0.7837456646297085
total_cost
0
area_under_roc_curve
0.8512874674898269 [0.843258,0.889881,0.871965,0.76577]
area_under_roc_curve
0.8389747384597658 [0.83638,0.889881,0.857788,0.708027]
area_under_roc_curve
0.8274938196373783 [0.814222,0.860119,0.932571,0.738349]
area_under_roc_curve
0.847421310728003 [0.829504,0.891071,0.912547,0.758581]
area_under_roc_curve
0.8374632243544786 [0.808882,0.879762,0.944799,0.763525]
area_under_roc_curve
0.8278412703919892 [0.830187,0.858036,0.945774,0.69834]
area_under_roc_curve
0.8356379505397573 [0.822937,0.875693,0.960953,0.719645]
area_under_roc_curve
0.844408474890931 [0.852194,0.868179,0.965826,0.717011]
area_under_roc_curve
0.8530039806636897 [0.842425,0.895662,0.951616,0.733103]
area_under_roc_curve
0.8248370003911591 [0.804983,0.865203,0.934511,0.731325]
average_cost
0
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0
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0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
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0
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0
f_measure
0.8064852292001613 [0.813333,0.859729,0.769231,0.666667]
f_measure
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f_measure
0.7757741408364889 [0.778281,0.824053,0.84058,0.621212]
f_measure
0.7984640858855603 [0.796339,0.859688,0.767123,0.661654]
f_measure
0.788267116402539 [0.772009,0.848073,0.821918,0.666667]
f_measure
0.771505339547659 [0.797297,0.821192,0.833333,0.552846]
f_measure
0.7856708228391521 [0.789474,0.843537,0.857143,0.601626]
f_measure
0.7956125135974342 [0.824053,0.833333,0.923077,0.575758]
f_measure
0.8071494308276859 [0.812641,0.864143,0.909091,0.606061]
f_measure
0.7747513093067405 [0.768889,0.829596,0.865672,0.614173]
kappa
0.7091915091656541
kappa
0.6861167002012073
kappa
0.6647904617940371
kappa
0.6999630230694962
kappa
0.6834539018008311
kappa
0.663693911459169
kappa
0.682180996464628
kappa
0.6969059090743716
kappa
0.7142211884909717
kappa
0.6623384061102406
kb_relative_information_score
0.719686785734065
kb_relative_information_score
0.6925446787990439
kb_relative_information_score
0.6889856614742865
kb_relative_information_score
0.716175504730952
kb_relative_information_score
0.7082851345885903
kb_relative_information_score
0.6844756409590913
kb_relative_information_score
0.7036650152526824
kb_relative_information_score
0.7156206359529602
kb_relative_information_score
0.7301329916897363
kb_relative_information_score
0.687112925297826
mean_absolute_error
0.09432234432234432
mean_absolute_error
0.10073260073260074
mean_absolute_error
0.10897435897435898
mean_absolute_error
0.09798534798534798
mean_absolute_error
0.10347985347985347
mean_absolute_error
0.10897435897435898
mean_absolute_error
0.10275229357798166
mean_absolute_error
0.0981651376146789
mean_absolute_error
0.0926605504587156
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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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
546 [221,210,33,82]
number_of_instances
546 [220,210,33,83]
number_of_instances
546 [220,210,33,83]
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 [221,209,32,83]
number_of_instances
545 [221,209,33,82]
number_of_instances
545 [221,209,33,82]
precision
0.8131751593950309 [0.799127,0.818966,0.78125,0.849057]
precision
0.8047876726448154 [0.787879,0.795918,0.8,0.875]
precision
0.7857785066499096 [0.774775,0.774059,0.805556,0.836735]
precision
0.8097566298755973 [0.801843,0.807531,0.7,0.88]
precision
0.7972096605245967 [0.766816,0.809524,0.75,0.865385]
precision
0.788488355017659 [0.790179,0.765432,0.769231,0.85]
precision
0.8053682149635549 [0.762712,0.805195,0.789474,0.925]
precision
0.8024043052511891 [0.811404,0.787234,0.909091,0.77551]
precision
0.8141850566162494 [0.810811,0.808333,0.909091,0.8]
precision
0.7877312243734627 [0.755459,0.780591,0.852941,0.866667]
predictive_accuracy
0.8113553113553114
predictive_accuracy
0.7985347985347986
predictive_accuracy
0.782051282051282
predictive_accuracy
0.8040293040293041
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
0.7944954128440367
predictive_accuracy
0.8036697247706422
predictive_accuracy
0.8146788990825687
predictive_accuracy
0.7816513761467889
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
0.8113553113553114 [0.828054,0.904762,0.757576,0.54878]
recall
0.7985347985347986 [0.823529,0.928571,0.727273,0.426829]
recall
0.782051282051282 [0.781818,0.880952,0.878788,0.493976]
recall
0.8040293040293041 [0.790909,0.919048,0.848485,0.53012]
recall
0.793040293040293 [0.777273,0.890476,0.909091,0.542169]
recall
0.782051282051282 [0.804545,0.885714,0.909091,0.409639]
recall
0.7944954128440367 [0.818182,0.885714,0.9375,0.445783]
recall
0.8036697247706422 [0.837104,0.885167,0.9375,0.457831]
recall
0.8146788990825689 [0.81448,0.92823,0.909091,0.487805]
recall
0.781651376146789 [0.782805,0.885167,0.878788,0.47561]
relative_absolute_error
0.2848383520320021
relative_absolute_error
0.3041962982866041
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
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root_mean_prior_squared_error
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0.4068271240296317
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_relative_squared_error
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root_relative_squared_error
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total_cost
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