10363524
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)
8218970
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"most_frequent"
12737
verbose
0
12737
copy
true
13294
with_mean
true
13294
with_std
true
13294
C
7061.843965992758
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
1.6792401713262466
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
16658
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
21648750
description
https://api.openml.org/data/download/21648750/description.xml
-1
21648751
predictions
https://api.openml.org/data/download/21648751/predictions.arff
area_under_roc_curve
0.8308498630567562 [0.840245,0.837902,0.763525,0.814602]
average_cost
0
f_measure
0.7880661211095349 [0.809763,0.795147,0.687873,0.751955]
kappa
0.6740679237839583
kb_relative_information_score
0.6847446657262275
mean_absolute_error
0.10502199413489736
mean_prior_absolute_error
0.3312381502905654
number_of_instances
5456 [2205,2097,328,826]
precision
0.8269949606434366 [0.909553,0.68202,0.988571,0.910499]
predictive_accuracy
0.7899560117302054
prior_entropy
1.7146330399083418
recall
0.7899560117302052 [0.729705,0.953267,0.527439,0.640436]
relative_absolute_error
0.3170588715181842
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.3240709708303065
root_relative_squared_error
0.7963536426289037
total_cost
0
area_under_roc_curve
0.831339680434508 [0.847421,0.839286,0.772727,0.791237]
area_under_roc_curve
0.846278577744095 [0.852489,0.86131,0.742424,0.832843]
area_under_roc_curve
0.8488884232819658 [0.856428,0.863988,0.757576,0.827006]
area_under_roc_curve
0.844381132682041 [0.864152,0.846131,0.681818,0.852182]
area_under_roc_curve
0.815879087692266 [0.829211,0.825298,0.787879,0.767845]
area_under_roc_curve
0.8382564955715024 [0.851311,0.84256,0.833333,0.794725]
area_under_roc_curve
0.8139554856129877 [0.833601,0.808493,0.780275,0.788687]
area_under_roc_curve
0.831614758698092 [0.835861,0.839492,0.703125,0.85001]
area_under_roc_curve
0.8303743103825503 [0.82362,0.84454,0.786902,0.829966]
area_under_roc_curve
0.8074862344345785 [0.808502,0.807865,0.787879,0.811674]
average_cost
0
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
f_measure
0.7872515269300893 [0.819588,0.796117,0.705882,0.710145]
f_measure
0.8044230168039413 [0.825871,0.820202,0.653061,0.767123]
f_measure
0.8101628885528878 [0.830097,0.82377,0.68,0.774648]
f_measure
0.8039559559786014 [0.840796,0.804,0.533333,0.813793]
f_measure
0.7697172279565885 [0.794937,0.782101,0.730769,0.687023]
f_measure
0.797593912119696 [0.824427,0.8,0.8,0.719424]
f_measure
0.7679095280703742 [0.800995,0.765531,0.705882,0.710145]
f_measure
0.7874986458785715 [0.804071,0.79604,0.577778,0.802721]
f_measure
0.7868583236340305 [0.787879,0.801603,0.716981,0.774648]
f_measure
0.7608496169764093 [0.767263,0.76378,0.730769,0.748201]
kappa
0.6729227547623884
kappa
0.702164799027477
kappa
0.7099948968433331
kappa
0.7008359685650771
kappa
0.6458347500850051
kappa
0.6883755681464417
kappa
0.6407007042621989
kappa
0.6754274609368878
kappa
0.6738395087427145
kappa
0.6303407543448658
kb_relative_information_score
0.6820004356100462
kb_relative_information_score
0.7062105964797242
kb_relative_information_score
0.7134712867907355
kb_relative_information_score
0.6996201985369038
kb_relative_information_score
0.6600416449819556
kb_relative_information_score
0.7022721827852911
kb_relative_information_score
0.6577737101580869
kb_relative_information_score
0.6829813360792503
kb_relative_information_score
0.6894735485804919
kb_relative_information_score
0.6534262863753417
mean_absolute_error
0.10531135531135531
mean_absolute_error
0.09615384615384616
mean_absolute_error
0.09340659340659341
mean_absolute_error
0.09615384615384616
mean_absolute_error
0.11355311355311355
mean_absolute_error
0.10073260073260074
mean_absolute_error
0.11559633027522936
mean_absolute_error
0.10458715596330276
mean_absolute_error
0.10550458715596331
mean_absolute_error
0.11926605504587157
mean_prior_absolute_error
0.3311434139730841
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
0.3311205766710351
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
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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
0.8357339095902951 [0.952096,0.672131,1,0.875]
precision
0.8370220334090646 [0.917127,0.712281,1,0.875]
precision
0.8390932485898038 [0.890625,0.723022,1,0.932203]
precision
0.8458265739768999 [0.928571,0.693103,1,0.951613]
precision
0.8187410490511994 [0.897143,0.661184,1,0.9375]
precision
0.8368412339199194 [0.936416,0.684746,1,0.892857]
precision
0.8030560660003 [0.884615,0.6609,0.947368,0.890909]
precision
0.8320175233105945 [0.918605,0.679054,1,0.921875]
precision
0.821395067865805 [0.891429,0.689655,0.95,0.916667]
precision
0.8044263646136298 [0.882353,0.648829,1,0.912281]
predictive_accuracy
0.7893772893772893
predictive_accuracy
0.8076923076923077
predictive_accuracy
0.8131868131868132
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
0.7889908256880734
predictive_accuracy
0.7614678899082569
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
0.7893772893772893 [0.719457,0.97619,0.545455,0.597561]
recall
0.8076923076923077 [0.751131,0.966667,0.484848,0.682927]
recall
0.8131868131868132 [0.777273,0.957143,0.515152,0.662651]
recall
0.8076923076923077 [0.768182,0.957143,0.363636,0.710843]
recall
0.7728937728937729 [0.713636,0.957143,0.575758,0.542169]
recall
0.7985347985347986 [0.736364,0.961905,0.666667,0.60241]
recall
0.7688073394495413 [0.731818,0.909524,0.5625,0.590361]
recall
0.7908256880733945 [0.714932,0.961722,0.40625,0.710843]
recall
0.7889908256880734 [0.705882,0.956938,0.575758,0.670732]
recall
0.7614678899082569 [0.678733,0.92823,0.575758,0.634146]
relative_absolute_error
0.31802340275417706
relative_absolute_error
0.29036919381903126
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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relative_absolute_error
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relative_absolute_error
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root_mean_prior_squared_error
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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_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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total_cost
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