10381277
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)
8231650
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
13150.458449119973
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.14901796408205747
13389
decision_function_shape
"ovr"
13389
degree
4
13389
gamma
5.107606853951426e-05
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
21684263
description
https://api.openml.org/data/download/21684263/description.xml
-1
21684264
predictions
https://api.openml.org/data/download/21684264/predictions.arff
area_under_roc_curve
0.8603703061481779 [0.84534,0.883117,0.896332,0.828465]
average_cost
0
f_measure
0.8208775185810808 [0.815688,0.852504,0.824451,0.75302]
kappa
0.7286114166827936
kb_relative_information_score
0.7464327321670811
mean_absolute_error
0.08880131964809385
mean_prior_absolute_error
0.3312381502905654
number_of_instances
5456 [2205,2097,328,826]
precision
0.823264004207006 [0.815503,0.818981,0.848387,0.84488]
predictive_accuracy
0.8223973607038123
prior_entropy
1.7146330399083418
recall
0.8223973607038123 [0.815873,0.888889,0.801829,0.679177]
relative_absolute_error
0.26808904581249604
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.29799550273132286
root_relative_squared_error
0.73227726469639
total_cost
0
area_under_roc_curve
0.875448055003409 [0.872127,0.890179,0.876839,0.846115]
area_under_roc_curve
0.8565661870562051 [0.845701,0.886012,0.859738,0.809162]
area_under_roc_curve
0.8495021262038139 [0.841662,0.860417,0.905192,0.820526]
area_under_roc_curve
0.8700885119512871 [0.850125,0.900893,0.873915,0.843543]
area_under_roc_curve
0.8621838748218192 [0.832571,0.880357,0.919369,0.871959]
area_under_roc_curve
0.8390146926767008 [0.827175,0.862798,0.901294,0.785462]
area_under_roc_curve
0.8560748154699451 [0.835245,0.884364,0.928728,0.811701]
area_under_roc_curve
0.8677670607495168 [0.861558,0.878275,0.934576,0.832082]
area_under_roc_curve
0.8664519524449948 [0.85528,0.90039,0.89101,0.800176]
area_under_roc_curve
0.8606373246092694 [0.831832,0.887524,0.874882,0.86401]
average_cost
0
average_cost
0
average_cost
0
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0
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0
average_cost
0
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0
average_cost
0
average_cost
0
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0
f_measure
0.8431569505406593 [0.847007,0.861751,0.833333,0.789116]
f_measure
0.8144649565765301 [0.816327,0.855204,0.786885,0.716216]
f_measure
0.8081899990712633 [0.810934,0.825397,0.84375,0.743243]
f_measure
0.8315031636737389 [0.821346,0.87191,0.793651,0.771242]
f_measure
0.8254745523077512 [0.8,0.849315,0.848485,0.823529]
f_measure
0.7919201518927825 [0.793651,0.828054,0.794118,0.695035]
f_measure
0.8146828156614707 [0.803571,0.855814,0.811594,0.741259]
f_measure
0.8284586468439128 [0.835616,0.847222,0.888889,0.738854]
f_measure
0.8282130594985496 [0.82774,0.872146,0.83871,0.713287]
f_measure
0.8212792440959362 [0.8,0.858469,0.806452,0.789809]
kappa
0.7608040201005024
kappa
0.7191935815675786
kappa
0.7088119461765672
kappa
0.7459114479457519
kappa
0.7354070915184377
kappa
0.6860893089057375
kappa
0.7197957851116445
kappa
0.7405120643843401
kappa
0.740555420446137
kappa
0.7290655541945767
kb_relative_information_score
0.7717023606110663
kb_relative_information_score
0.7317571616880282
kb_relative_information_score
0.7308569630064894
kb_relative_information_score
0.7590849375638727
kb_relative_information_score
0.7606519919187353
kb_relative_information_score
0.7075500722431781
kb_relative_information_score
0.7410824242434182
kb_relative_information_score
0.7613270739865898
kb_relative_information_score
0.7515609621178099
kb_relative_information_score
0.748834258886985
mean_absolute_error
0.07783882783882784
mean_absolute_error
0.09157509157509157
mean_absolute_error
0.09523809523809523
mean_absolute_error
0.08333333333333333
mean_absolute_error
0.08699633699633699
mean_absolute_error
0.10256410256410256
mean_absolute_error
0.09174311926605505
mean_absolute_error
0.0853211009174312
mean_absolute_error
0.08440366972477065
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
0.33137469978129297
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
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
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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
0.847185665350381 [0.830435,0.834821,0.925926,0.892308]
precision
0.8169047017569184 [0.818182,0.814655,0.857143,0.80303]
precision
0.8117949369181566 [0.812785,0.787879,0.870968,0.846154]
precision
0.8340084395933659 [0.838863,0.825532,0.833333,0.842857]
precision
0.8279529324204966 [0.809302,0.815789,0.848485,0.9]
precision
0.7974954744191085 [0.791855,0.788793,0.771429,0.844828]
precision
0.8199146000836005 [0.789474,0.836364,0.756757,0.883333]
precision
0.8290674541508961 [0.843318,0.820628,0.903226,0.783784]
precision
0.8318705337327086 [0.818584,0.834061,0.896552,0.836066]
precision
0.8220347066632574 [0.803653,0.833333,0.862069,0.826667]
predictive_accuracy
0.8443223443223444
predictive_accuracy
0.8168498168498168
predictive_accuracy
0.8095238095238095
predictive_accuracy
0.8333333333333333
predictive_accuracy
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predictive_accuracy
0.7948717948717949
predictive_accuracy
0.8165137614678899
predictive_accuracy
0.8293577981651375
predictive_accuracy
0.8311926605504587
predictive_accuracy
0.8220183486238533
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
0.8443223443223443 [0.864253,0.890476,0.757576,0.707317]
recall
0.8168498168498168 [0.81448,0.9,0.727273,0.646341]
recall
0.8095238095238095 [0.809091,0.866667,0.818182,0.662651]
recall
0.8333333333333334 [0.804545,0.92381,0.757576,0.710843]
recall
0.826007326007326 [0.790909,0.885714,0.848485,0.759036]
recall
0.7948717948717948 [0.795455,0.871429,0.818182,0.590361]
recall
0.8165137614678899 [0.818182,0.87619,0.875,0.638554]
recall
0.8293577981651377 [0.828054,0.875598,0.875,0.698795]
recall
0.8311926605504587 [0.837104,0.913876,0.787879,0.621951]
recall
0.8220183486238533 [0.79638,0.885167,0.757576,0.756098]
relative_absolute_error
0.2350607759487396
relative_absolute_error
0.2765420893514583
relative_absolute_error
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relative_absolute_error
0.25147765773407943
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
0.40711128043132166
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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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root_relative_squared_error
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root_relative_squared_error
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total_cost
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