10382974
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)
8231703
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
0.8002116789865572
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.346790741622226
13389
decision_function_shape
"ovr"
13389
degree
5
13389
gamma
0.056654090108587324
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
21687657
description
https://api.openml.org/data/download/21687657/description.xml
-1
21687658
predictions
https://api.openml.org/data/download/21687658/predictions.arff
area_under_roc_curve
0.9144098138300747 [0.901761,0.935537,0.935001,0.886361]
average_cost
0
f_measure
0.8899728042986824 [0.88234,0.918449,0.916667,0.827456]
kappa
0.8333399908361432
kb_relative_information_score
0.8425681454900669
mean_absolute_error
0.054802052785923754
mean_prior_absolute_error
0.3312381502905654
number_of_instances
5456 [2205,2097,328,826]
precision
0.8904372886177011 [0.875446,0.905468,0.966216,0.862205]
predictive_accuracy
0.8903958944281526
prior_entropy
1.7146330399083418
recall
0.8903958944281525 [0.889342,0.931807,0.871951,0.7954]
relative_absolute_error
0.16544607780791812
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.23409838270676658
root_relative_squared_error
0.5752601022067066
total_cost
0
area_under_roc_curve
0.9087360901516982 [0.897466,0.924702,0.908116,0.89847]
area_under_roc_curve
0.9113043135025893 [0.897376,0.946726,0.863636,0.877313]
area_under_roc_curve
0.911364722977704 [0.891885,0.940774,0.906167,0.890655]
area_under_roc_curve
0.9252884462494534 [0.920803,0.94494,0.909091,0.893895]
area_under_roc_curve
0.9022319126181702 [0.886601,0.923512,0.952596,0.869799]
area_under_roc_curve
0.9180735633173885 [0.914668,0.930655,0.984848,0.868719]
area_under_roc_curve
0.9133899582132103 [0.902902,0.931485,0.981451,0.869165]
area_under_roc_curve
0.9287367724867724 [0.913189,0.941793,0.96875,0.92183]
area_under_roc_curve
0.9183681972108897 [0.904649,0.940889,0.954545,0.883383]
area_under_roc_curve
0.9066219010514873 [0.888093,0.929889,0.923266,0.89056]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
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0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
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0
f_measure
0.8808202560635895 [0.878719,0.904429,0.885246,0.824242]
f_measure
0.8850812018125763 [0.877828,0.928736,0.842105,0.810127]
f_measure
0.8841209033633421 [0.870748,0.924883,0.857143,0.82716]
f_measure
0.9041031131984567 [0.904977,0.928074,0.9,0.842767]
f_measure
0.8744896856251783 [0.864989,0.901149,0.923077,0.812903]
f_measure
0.8947945665383727 [0.896861,0.912941,0.984615,0.807692]
f_measure
0.891083974769016 [0.880694,0.917874,0.939394,0.832215]
f_measure
0.908387789979977 [0.896396,0.92823,0.967742,0.86747]
f_measure
0.8953682613580309 [0.884956,0.927885,0.952381,0.81761]
f_measure
0.8803767380639915 [0.866817,0.910798,0.903226,0.830189]
kappa
0.819536255466287
kappa
0.8264008902518448
kappa
0.8250258152795934
kappa
0.8548963289670716
kappa
0.8106622334186666
kappa
0.8413203420163055
kappa
0.8347627685651006
kappa
0.8611196053248525
kappa
0.8410241188903161
kappa
0.8186486057571709
kb_relative_information_score
0.8299383133210461
kb_relative_information_score
0.8261736882618378
kb_relative_information_score
0.8327270289835108
kb_relative_information_score
0.8569187900743155
kb_relative_information_score
0.8245595033897153
kb_relative_information_score
0.8530727417955982
kb_relative_information_score
0.8469526129114555
kb_relative_information_score
0.8743598795617729
kb_relative_information_score
0.8510714045629468
kb_relative_information_score
0.8300104605927295
mean_absolute_error
0.05952380952380952
mean_absolute_error
0.056776556776556776
mean_absolute_error
0.057692307692307696
mean_absolute_error
0.047619047619047616
mean_absolute_error
0.06227106227106227
mean_absolute_error
0.0521978021978022
mean_absolute_error
0.05412844036697248
mean_absolute_error
0.045871559633027525
mean_absolute_error
0.05229357798165138
mean_absolute_error
0.05963302752293578
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
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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
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
0.881820500307167 [0.888889,0.885845,0.964286,0.819277]
precision
0.8875200822569244 [0.877828,0.897778,1,0.842105]
precision
0.884160081612685 [0.868778,0.912037,0.9,0.848101]
precision
0.9055210617189661 [0.900901,0.904977,1,0.881579]
precision
0.8756570266650912 [0.870968,0.871111,0.9375,0.875]
precision
0.895254165871887 [0.884956,0.902326,1,0.863014]
precision
0.8954965250854164 [0.842324,0.931373,0.911765,0.939394]
precision
0.9086518286913235 [0.892377,0.92823,1,0.86747]
precision
0.8961972566280504 [0.865801,0.932367,1,0.844156]
precision
0.8809740268874272 [0.864865,0.894009,0.965517,0.857143]
predictive_accuracy
0.880952380952381
predictive_accuracy
0.8864468864468864
predictive_accuracy
0.8846153846153847
predictive_accuracy
0.9047619047619048
predictive_accuracy
0.8754578754578755
predictive_accuracy
0.8956043956043956
predictive_accuracy
0.891743119266055
predictive_accuracy
0.9082568807339451
predictive_accuracy
0.8954128440366972
predictive_accuracy
0.8807339449541284
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
0.8809523809523809 [0.868778,0.92381,0.818182,0.829268]
recall
0.8864468864468864 [0.877828,0.961905,0.727273,0.780488]
recall
0.8846153846153846 [0.872727,0.938095,0.818182,0.807229]
recall
0.9047619047619048 [0.909091,0.952381,0.818182,0.807229]
recall
0.8754578754578755 [0.859091,0.933333,0.909091,0.759036]
recall
0.8956043956043956 [0.909091,0.92381,0.969697,0.759036]
recall
0.8917431192660551 [0.922727,0.904762,0.96875,0.746988]
recall
0.908256880733945 [0.900452,0.92823,0.9375,0.86747]
recall
0.8954128440366973 [0.904977,0.923445,0.909091,0.792683]
recall
0.8807339449541285 [0.868778,0.92823,0.848485,0.804878]
relative_absolute_error
0.1797523580784479
relative_absolute_error
0.17145609539790418
relative_absolute_error
0.17409991689282425
relative_absolute_error
0.14370151870518827
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
0.15789786105779707
relative_absolute_error
0.18005896436415456
root_mean_prior_squared_error
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0.4068271240296317
root_mean_prior_squared_error
0.40711128043132166
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root_mean_prior_squared_error
0.40711128043132166
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root_mean_squared_error
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root_mean_squared_error
0.22867789132675545
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
0
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usercpu_time_millis
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