10382986
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)
8231704
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
2.653098517006086
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.16118152154954246
13389
decision_function_shape
"ovr"
13389
degree
5
13389
gamma
0.018933306231401107
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
21687681
description
https://api.openml.org/data/download/21687681/description.xml
-1
21687682
predictions
https://api.openml.org/data/download/21687682/predictions.arff
area_under_roc_curve
0.912869748276439 [0.898175,0.936045,0.933086,0.885235]
average_cost
0
f_measure
0.8884117440423308 [0.878005,0.918817,0.909091,0.830789]
kappa
0.8309750719701565
kb_relative_information_score
0.8402118535467382
mean_absolute_error
0.055535190615835776
mean_prior_absolute_error
0.3312381502905654
number_of_instances
5456 [2205,2097,328,826]
precision
0.8890214317891089 [0.869991,0.904388,0.953177,0.875335]
predictive_accuracy
0.8889296187683284
prior_entropy
1.7146330399083418
recall
0.8889296187683284 [0.886168,0.933715,0.868902,0.790557]
relative_absolute_error
0.16765940326354245
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.23565905587487143
root_relative_squared_error
0.5790952120259822
total_cost
0
area_under_roc_curve
0.9164305925807742 [0.902081,0.93244,0.907142,0.917841]
area_under_roc_curve
0.9078168813944676 [0.894299,0.940476,0.863636,0.87839]
area_under_roc_curve
0.9131303291114726 [0.893363,0.942262,0.905192,0.894975]
area_under_roc_curve
0.9176793422373344 [0.911601,0.941667,0.908116,0.876903]
area_under_roc_curve
0.8976763327174981 [0.874442,0.924405,0.952596,0.869799]
area_under_roc_curve
0.9161316393549165 [0.906316,0.933929,0.984848,0.869799]
area_under_roc_curve
0.9043882401384365 [0.889266,0.923134,0.963877,0.874107]
area_under_roc_curve
0.9282758136924804 [0.909384,0.94897,0.96875,0.910864]
area_under_roc_curve
0.9163616910647148 [0.903825,0.940889,0.954545,0.872267]
area_under_roc_curve
0.9108382043722215 [0.897143,0.932281,0.924242,0.887702]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.8899153274305841 [0.884793,0.913753,0.870968,0.850299]
f_measure
0.8815338646370406 [0.873874,0.921659,0.842105,0.815287]
f_measure
0.8877998767830928 [0.87191,0.927059,0.84375,0.848101]
f_measure
0.8946569360569625 [0.892857,0.925234,0.885246,0.825806]
f_measure
0.8688559110337772 [0.850575,0.901602,0.923077,0.812903]
f_measure
0.8929028374681305 [0.887387,0.915888,0.984615,0.812903]
f_measure
0.8784957822005801 [0.865934,0.906475,0.895522,0.834437]
f_measure
0.9081842075721375 [0.891892,0.935867,0.967742,0.858896]
f_measure
0.8932924185905837 [0.883516,0.927885,0.952381,0.807692]
f_measure
0.8876455257283874 [0.876957,0.913349,0.918033,0.83871]
kappa
0.833811876667715
kappa
0.8206629681140974
kappa
0.8302602207748524
kappa
0.8406255761076629
kappa
0.8023292574726945
kappa
0.838448353262866
kappa
0.8156245034368578
kappa
0.8608515375266808
kappa
0.8378891225191035
kappa
0.8291685293951401
kb_relative_information_score
0.843872213469896
kb_relative_information_score
0.8217291863227668
kb_relative_information_score
0.837110798361948
kb_relative_information_score
0.8430059354122741
kb_relative_information_score
0.8180108591585263
kb_relative_information_score
0.8509348767793131
kb_relative_information_score
0.8302483804754829
kb_relative_information_score
0.8724997803526529
kb_relative_information_score
0.8469342385600853
kb_relative_information_score
0.8378619580161698
mean_absolute_error
0.054945054945054944
mean_absolute_error
0.05860805860805861
mean_absolute_error
0.055860805860805864
mean_absolute_error
0.0521978021978022
mean_absolute_error
0.06501831501831502
mean_absolute_error
0.05311355311355311
mean_absolute_error
0.060550458715596334
mean_absolute_error
0.045871559633027525
mean_absolute_error
0.05321100917431193
mean_absolute_error
0.05596330275229358
mean_prior_absolute_error
0.3311434139730841
mean_prior_absolute_error
0.3311434139730841
mean_prior_absolute_error
0.33137469978129297
mean_prior_absolute_error
0.33137469978129297
mean_prior_absolute_error
0.33137469978129297
mean_prior_absolute_error
0.33137469978129297
mean_prior_absolute_error
0.3311205766710351
mean_prior_absolute_error
0.3311024296804111
mean_prior_absolute_error
0.3311861074705109
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
0.890796206342819 [0.901408,0.894977,0.931034,0.835294]
precision
0.884127148387238 [0.869955,0.892857,1,0.853333]
precision
0.8882712375285519 [0.862222,0.916279,0.870968,0.893333]
precision
0.8961824312155415 [0.877193,0.908257,0.964286,0.888889]
precision
0.8701676220084938 [0.860465,0.867841,0.9375,0.875]
precision
0.8936162679609599 [0.879464,0.899083,1,0.875]
precision
0.8816335644069303 [0.838298,0.913043,0.857143,0.926471]
precision
0.9083696869680369 [0.887892,0.929245,1,0.875]
precision
0.8945117035663506 [0.858974,0.932367,1,0.851351]
precision
0.8892237738141283 [0.867257,0.894495,1,0.890411]
predictive_accuracy
0.8901098901098901
predictive_accuracy
0.8827838827838828
predictive_accuracy
0.8882783882783883
predictive_accuracy
0.8956043956043956
predictive_accuracy
0.86996336996337
predictive_accuracy
0.8937728937728937
predictive_accuracy
0.8788990825688073
predictive_accuracy
0.9082568807339451
predictive_accuracy
0.8935779816513761
predictive_accuracy
0.8880733944954129
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
0.8901098901098901 [0.868778,0.933333,0.818182,0.865854]
recall
0.8827838827838828 [0.877828,0.952381,0.727273,0.780488]
recall
0.8882783882783882 [0.881818,0.938095,0.818182,0.807229]
recall
0.8956043956043956 [0.909091,0.942857,0.818182,0.771084]
recall
0.86996336996337 [0.840909,0.938095,0.909091,0.759036]
recall
0.8937728937728938 [0.895455,0.933333,0.969697,0.759036]
recall
0.8788990825688073 [0.895455,0.9,0.9375,0.759036]
recall
0.908256880733945 [0.895928,0.942584,0.9375,0.843373]
recall
0.8935779816513761 [0.909502,0.923445,0.909091,0.768293]
recall
0.8880733944954129 [0.886878,0.933014,0.848485,0.792683]
relative_absolute_error
0.16592525361087498
relative_absolute_error
0.1769869371849333
relative_absolute_error
0.16857293540416318
relative_absolute_error
0.157518972426841
relative_absolute_error
0.19620784284746862
relative_absolute_error
0.1602824631711715
relative_absolute_error
0.18286528528171955
relative_absolute_error
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relative_absolute_error
0.16066799897109174
relative_absolute_error
0.16897841271097583
root_mean_prior_squared_error
0.4068271240296317
root_mean_prior_squared_error
0.4068271240296317
root_mean_prior_squared_error
0.40711128043132166
root_mean_prior_squared_error
0.40711128043132166
root_mean_prior_squared_error
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root_mean_prior_squared_error
0.40711128043132166
root_mean_prior_squared_error
0.4067990554858411
root_mean_prior_squared_error
0.40677675026179705
root_mean_prior_squared_error
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root_mean_squared_error
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0.24209101306752095
root_mean_squared_error
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0.22846838336584385
root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
0.2141764684390597
root_mean_squared_error
0.2306751160708756
root_mean_squared_error
0.23656564152956275
root_relative_squared_error
0.5761749933177381
root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
0.5611939397105105
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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root_relative_squared_error
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total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
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total_cost
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total_cost
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total_cost
0
usercpu_time_millis
850.1956330003395
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usercpu_time_millis_training
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