10328125
8323
Heinrich Peters
15
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8183776
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
9752.749987151079
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.10517868292249122
13389
decision_function_shape
"ovr"
13389
degree
4
13389
gamma
0.05040735556381989
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
29404
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.
15
breast-w
https://www.openml.org/data/download/52350/openml_phpJNxH0q
-1
21577936
description
https://api.openml.org/data/download/21577936/description.xml
-1
21577937
predictions
https://api.openml.org/data/download/21577937/predictions.arff
area_under_roc_curve
0.4279747775824892 [0.427975,0.427975]
average_cost
0
f_measure
0.48329267187177616 [0.606325,0.24948]
kappa
-0.14419218369540077
kb_relative_information_score
-0.19222727081599264
mean_absolute_error
0.5164520743919886
mean_prior_absolute_error
0.4519499019385762
number_of_instances
699 [458,241]
precision
0.4830391065979723 [0.605664,0.25]
predictive_accuracy
0.48354792560801146
prior_entropy
0.92931856324281
recall
0.48354792560801146 [0.606987,0.248963]
relative_absolute_error
1.1427197399020097
root_mean_prior_squared_error
0.47529612442517866
root_mean_squared_error
0.7186460007486222
root_relative_squared_error
1.511996340424088
total_cost
0
area_under_roc_curve
0.4628623188405797 [0.462862,0.462862]
area_under_roc_curve
0.38768115942028986 [0.387681,0.387681]
area_under_roc_curve
0.35507246376811596 [0.355072,0.355072]
area_under_roc_curve
0.41847826086956524 [0.418478,0.418478]
area_under_roc_curve
0.4710144927536232 [0.471014,0.471014]
area_under_roc_curve
0.42934782608695654 [0.429348,0.429348]
area_under_roc_curve
0.43931159420289856 [0.439312,0.439312]
area_under_roc_curve
0.3958333333333333 [0.395833,0.395833]
area_under_roc_curve
0.5577777777777778 [0.557778,0.557778]
area_under_roc_curve
0.36111111111111105 [0.361111,0.361111]
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
0.5241982507288628 [0.673469,0.238095]
f_measure
0.4511166908946742 [0.595745,0.173913]
f_measure
0.4170441803094865 [0.549451,0.163265]
f_measure
0.473917918815878 [0.593407,0.244898]
f_measure
0.5186031746031746 [0.622222,0.32]
f_measure
0.4857142857142857 [0.608696,0.25]
f_measure
0.4902857142857142 [0.6,0.28]
f_measure
0.4403839055001845 [0.534884,0.259259]
f_measure
0.6030075187969923 [0.715789,0.4]
f_measure
0.42028985507246375 [0.555556,0.166667]
kappa
-0.07899807321772656
kappa
-0.2292051756007395
kappa
-0.28699551569506715
kappa
-0.1614349775784753
kappa
-0.056838365896980665
kappa
-0.14130434782608706
kappa
-0.11900532859680295
kappa
-0.19658119658119674
kappa
0.12093023255813971
kappa
-0.27777777777777785
kb_relative_information_score
-0.057330716303909485
kb_relative_information_score
-0.2555802256108926
kb_relative_information_score
-0.35470498026438413
kb_relative_information_score
-0.22253864072639548
kb_relative_information_score
-0.12341388607290392
kb_relative_information_score
-0.1894970558418983
kb_relative_information_score
-0.1894970558418982
kb_relative_information_score
-0.32166339537988686
kb_relative_information_score
0.12038812540041272
kb_relative_information_score
-0.33421728615252294
mean_absolute_error
0.45714285714285713
mean_absolute_error
0.5428571428571428
mean_absolute_error
0.5857142857142857
mean_absolute_error
0.5285714285714286
mean_absolute_error
0.4857142857142857
mean_absolute_error
0.5142857142857142
mean_absolute_error
0.5142857142857142
mean_absolute_error
0.5714285714285714
mean_absolute_error
0.38571428571428573
mean_absolute_error
0.5797101449275363
mean_prior_absolute_error
0.45135520684736086
mean_prior_absolute_error
0.45135520684736086
mean_prior_absolute_error
0.45135520684736086
mean_prior_absolute_error
0.45135520684736086
mean_prior_absolute_error
0.45135520684736086
mean_prior_absolute_error
0.45135520684736086
mean_prior_absolute_error
0.45135520684736086
mean_prior_absolute_error
0.45135520684736086
mean_prior_absolute_error
0.45577746077032805
mean_prior_absolute_error
0.45289338212491465
number_of_instances
70 [46,24]
number_of_instances
70 [46,24]
number_of_instances
70 [46,24]
number_of_instances
70 [46,24]
number_of_instances
70 [46,24]
number_of_instances
70 [46,24]
number_of_instances
70 [46,24]
number_of_instances
70 [46,24]
number_of_instances
70 [45,25]
number_of_instances
69 [45,24]
precision
0.5122710622710622 [0.634615,0.277778]
precision
0.4456709956709957 [0.583333,0.181818]
precision
0.41993650793650794 [0.555556,0.16]
precision
0.4765714285714286 [0.6,0.24]
precision
0.5236763236763237 [0.636364,0.307692]
precision
0.4857142857142857 [0.608696,0.25]
precision
0.4955544455544455 [0.613636,0.269231]
precision
0.4578571428571428 [0.575,0.233333]
precision
0.5978571428571429 [0.68,0.45]
precision
0.42028985507246375 [0.555556,0.166667]
predictive_accuracy
0.5428571428571428
predictive_accuracy
0.45714285714285713
predictive_accuracy
0.4142857142857143
predictive_accuracy
0.4714285714285715
predictive_accuracy
0.5142857142857143
predictive_accuracy
0.4857142857142857
predictive_accuracy
0.4857142857142857
predictive_accuracy
0.42857142857142855
predictive_accuracy
0.6142857142857143
predictive_accuracy
0.42028985507246375
prior_entropy
0.9275444412731174
prior_entropy
0.9275444412731174
prior_entropy
0.9275444412731174
prior_entropy
0.9275444412731174
prior_entropy
0.9275444412731174
prior_entropy
0.9275444412731174
prior_entropy
0.9275444412731174
prior_entropy
0.9275444412731174
prior_entropy
0.9407371142179634
prior_entropy
0.9321331970800204
recall
0.5428571428571428 [0.717391,0.208333]
recall
0.45714285714285713 [0.608696,0.166667]
recall
0.4142857142857143 [0.543478,0.166667]
recall
0.4714285714285714 [0.586957,0.25]
recall
0.5142857142857142 [0.608696,0.333333]
recall
0.4857142857142857 [0.608696,0.25]
recall
0.4857142857142857 [0.586957,0.291667]
recall
0.42857142857142855 [0.5,0.291667]
recall
0.6142857142857143 [0.755556,0.36]
recall
0.42028985507246375 [0.555556,0.166667]
relative_absolute_error
1.012822828246343
relative_absolute_error
1.2027271085425322
relative_absolute_error
1.297679248690627
relative_absolute_error
1.171076395159834
relative_absolute_error
1.0761242550117394
relative_absolute_error
1.1394256817771358
relative_absolute_error
1.1394256817771358
relative_absolute_error
1.2660285353079286
relative_absolute_error
0.8462776659959761
relative_absolute_error
1.28001460786999
root_mean_prior_squared_error
0.47467010734022363
root_mean_prior_squared_error
0.47467010734022363
root_mean_prior_squared_error
0.47467010734022363
root_mean_prior_squared_error
0.47467010734022363
root_mean_prior_squared_error
0.47467010734022363
root_mean_prior_squared_error
0.47467010734022363
root_mean_prior_squared_error
0.47467010734022363
root_mean_prior_squared_error
0.47467010734022363
root_mean_prior_squared_error
0.4793057111336632
root_mean_prior_squared_error
0.4762876085727333
root_mean_squared_error
0.6761234037828132
root_mean_squared_error
0.7367883976130072
root_mean_squared_error
0.7653197277702214
root_mean_squared_error
0.7270291799999699
root_mean_squared_error
0.6969320524371696
root_mean_squared_error
0.7171371656006361
root_mean_squared_error
0.7171371656006361
root_mean_squared_error
0.7559289460184544
root_mean_squared_error
0.6210590034081188
root_mean_squared_error
0.7613869876268811
root_relative_squared_error
1.4244069582797558
root_relative_squared_error
1.5522114964044034
root_relative_squared_error
1.6123192000832531
root_relative_squared_error
1.53165149597016
root_relative_squared_error
1.4682450857130507
root_relative_squared_error
1.5108117290533787
root_relative_squared_error
1.5108117290533787
root_relative_squared_error
1.5925353931686206
root_relative_squared_error
1.29574713795748
root_relative_squared_error
1.5985865975150824
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
usercpu_time_millis
13.61742500012042
usercpu_time_millis
13.653108006110415
usercpu_time_millis
13.259192994155455
usercpu_time_millis
15.063942002598196
usercpu_time_millis
13.816104001307394
usercpu_time_millis
13.846886999090202
usercpu_time_millis
13.616971002193168
usercpu_time_millis
13.331949994608294
usercpu_time_millis
13.474601997586433
usercpu_time_millis
13.511767007003073
usercpu_time_millis_testing
1.4057820008019917
usercpu_time_millis_testing
1.4160830032778904
usercpu_time_millis_testing
1.4376039980561472
usercpu_time_millis_testing
1.5327930013881996
usercpu_time_millis_testing
1.478140002291184
usercpu_time_millis_testing
1.4527660023304634
usercpu_time_millis_testing
1.4780780038563535
usercpu_time_millis_testing
1.4424609980778769
usercpu_time_millis_testing
1.4617199994972907
usercpu_time_millis_testing
1.4200080040609464
usercpu_time_millis_training
12.211642999318428
usercpu_time_millis_training
12.237025002832524
usercpu_time_millis_training
11.821588996099308
usercpu_time_millis_training
13.531149001209997
usercpu_time_millis_training
12.33796399901621
usercpu_time_millis_training
12.394120996759739
usercpu_time_millis_training
12.138892998336814
usercpu_time_millis_training
11.889488996530417
usercpu_time_millis_training
12.012881998089142
usercpu_time_millis_training
12.091759002942126
wall_clock_time_millis
13.634443283081055
wall_clock_time_millis
13.666391372680664
wall_clock_time_millis
13.303518295288086
wall_clock_time_millis
15.105247497558594
wall_clock_time_millis
13.82589340209961
wall_clock_time_millis
13.858795166015625
wall_clock_time_millis
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wall_clock_time_millis
13.346433639526367
wall_clock_time_millis
13.491630554199219
wall_clock_time_millis
13.527631759643555
wall_clock_time_millis_testing
1.4145374298095703
wall_clock_time_millis_testing
1.422882080078125
wall_clock_time_millis_testing
1.4462471008300781
wall_clock_time_millis_testing
1.5535354614257812
wall_clock_time_millis_testing
1.4853477478027344
wall_clock_time_millis_testing
1.4605522155761719
wall_clock_time_millis_testing
1.4863014221191406
wall_clock_time_millis_testing
1.4503002166748047
wall_clock_time_millis_testing
1.4715194702148438
wall_clock_time_millis_testing
1.428365707397461
wall_clock_time_millis_training
12.219905853271484
wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
13.551712036132812
wall_clock_time_millis_training
12.340545654296875
wall_clock_time_millis_training
12.398242950439453
wall_clock_time_millis_training
12.144804000854492
wall_clock_time_millis_training
11.896133422851562
wall_clock_time_millis_training
12.020111083984375
wall_clock_time_millis_training
12.099266052246094