10327916
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)
8183567
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
4268.510636410245
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.0061078893286028715
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
51097
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
21577518
description
https://api.openml.org/data/download/21577518/description.xml
-1
21577519
predictions
https://api.openml.org/data/download/21577519/predictions.arff
area_under_roc_curve
0.9389642863614126 [0.938964,0.938964]
average_cost
0
f_measure
0.946933496387843 [0.959826,0.922432]
kappa
0.8822648415129899
kb_relative_information_score
0.8778049611629037
mean_absolute_error
0.05293276108726753
mean_prior_absolute_error
0.4519499019385762
number_of_instances
699 [458,241]
precision
0.9469067221839826 [0.954644,0.932203]
predictive_accuracy
0.9470672389127324
prior_entropy
0.92931856324281
recall
0.9470672389127325 [0.965066,0.912863]
relative_absolute_error
0.11712085976835002
root_mean_prior_squared_error
0.47529612442517866
root_mean_squared_error
0.23007120873170447
root_relative_squared_error
0.484058667656825
total_cost
0
area_under_roc_curve
0.9682971014492754 [0.968297,0.968297]
area_under_roc_curve
0.9157608695652174 [0.915761,0.915761]
area_under_roc_curve
0.9583333333333335 [0.958333,0.958333]
area_under_roc_curve
0.9257246376811594 [0.925725,0.925725]
area_under_roc_curve
0.9365942028985509 [0.936594,0.936594]
area_under_roc_curve
0.9682971014492754 [0.968297,0.968297]
area_under_roc_curve
0.9583333333333335 [0.958333,0.958333]
area_under_roc_curve
0.9148550724637681 [0.914855,0.914855]
area_under_roc_curve
0.8688888888888889 [0.868889,0.868889]
area_under_roc_curve
0.9777777777777779 [0.977778,0.977778]
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
0.9714285714285714 [0.978261,0.958333]
f_measure
0.9281955747295486 [0.946237,0.893617]
f_measure
0.9711114047839302 [0.978723,0.956522]
f_measure
0.9289078268670106 [0.945055,0.897959]
f_measure
0.9428571428571428 [0.956522,0.916667]
f_measure
0.9714285714285714 [0.978261,0.958333]
f_measure
0.9711114047839302 [0.978723,0.956522]
f_measure
0.915047619047619 [0.933333,0.88]
f_measure
0.8970760233918128 [0.926316,0.844444]
f_measure
0.9712648221343874 [0.977273,0.96]
kappa
0.9365942028985507
kappa
0.8398902104300092
kappa
0.9353049907578558
kappa
0.8430493273542602
kappa
0.8731884057971014
kappa
0.9365942028985507
kappa
0.9353049907578558
kappa
0.8134991119005328
kappa
0.7720930232558141
kappa
0.9373297002724795
kb_relative_information_score
0.9339168302310057
kb_relative_information_score
0.8347920755775141
kb_relative_information_score
0.9339168302310057
kb_relative_information_score
0.8347920755775141
kb_relative_information_score
0.8678336604620113
kb_relative_information_score
0.9339168302310057
kb_relative_information_score
0.9339168302310057
kb_relative_information_score
0.801750490693017
kb_relative_information_score
0.7719524769556625
kb_relative_information_score
0.9332891356923737
mean_absolute_error
0.02857142857142857
mean_absolute_error
0.07142857142857142
mean_absolute_error
0.02857142857142857
mean_absolute_error
0.07142857142857142
mean_absolute_error
0.05714285714285714
mean_absolute_error
0.02857142857142857
mean_absolute_error
0.02857142857142857
mean_absolute_error
0.08571428571428572
mean_absolute_error
0.1
mean_absolute_error
0.028985507246376812
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
0.9714285714285714 [0.978261,0.958333]
precision
0.9282410466499271 [0.93617,0.913043]
precision
0.9726190476190477 [0.958333,1]
precision
0.9296507936507936 [0.955556,0.88]
precision
0.9428571428571428 [0.956522,0.916667]
precision
0.9714285714285714 [0.978261,0.958333]
precision
0.9726190476190477 [0.958333,1]
precision
0.9173826173826175 [0.954545,0.846154]
precision
0.905 [0.88,0.95]
precision
0.9732441471571908 [1,0.923077]
predictive_accuracy
0.9714285714285714
predictive_accuracy
0.9285714285714286
predictive_accuracy
0.9714285714285714
predictive_accuracy
0.9285714285714286
predictive_accuracy
0.942857142857143
predictive_accuracy
0.9714285714285714
predictive_accuracy
0.9714285714285714
predictive_accuracy
0.9142857142857143
predictive_accuracy
0.9
predictive_accuracy
0.9710144927536232
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
0.9714285714285714 [0.978261,0.958333]
recall
0.9285714285714286 [0.956522,0.875]
recall
0.9714285714285714 [1,0.916667]
recall
0.9285714285714286 [0.934783,0.916667]
recall
0.9428571428571428 [0.956522,0.916667]
recall
0.9714285714285714 [0.978261,0.958333]
recall
0.9714285714285714 [1,0.916667]
recall
0.9142857142857143 [0.913043,0.916667]
recall
0.9 [0.977778,0.76]
recall
0.9710144927536232 [0.955556,1]
relative_absolute_error
0.06330142676539643
relative_absolute_error
0.15825356691349107
relative_absolute_error
0.06330142676539643
relative_absolute_error
0.15825356691349107
relative_absolute_error
0.12660285353079287
relative_absolute_error
0.06330142676539643
relative_absolute_error
0.06330142676539643
relative_absolute_error
0.1899042802961893
relative_absolute_error
0.21940532081377154
relative_absolute_error
0.0640007303934995
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
0.1690308509457033
root_mean_squared_error
0.2672612419124244
root_mean_squared_error
0.1690308509457033
root_mean_squared_error
0.2672612419124244
root_mean_squared_error
0.23904572186687872
root_mean_squared_error
0.1690308509457033
root_mean_squared_error
0.1690308509457033
root_mean_squared_error
0.29277002188455997
root_mean_squared_error
0.31622776601683794
root_mean_squared_error
0.17025130615174972
root_relative_squared_error
0.35610173956993896
root_relative_squared_error
0.5630462878945582
root_relative_squared_error
0.35610173956993896
root_relative_squared_error
0.5630462878945582
root_relative_squared_error
0.5036039096844597
root_relative_squared_error
0.35610173956993896
root_relative_squared_error
0.35610173956993896
root_relative_squared_error
0.616786305598795
root_relative_squared_error
0.6597621490236155
root_relative_squared_error
0.35745482999638206
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
27.469021995784715
usercpu_time_millis
25.449070002650842
usercpu_time_millis
26.065974998346064
usercpu_time_millis
27.692515999660827
usercpu_time_millis
28.6041489962372
usercpu_time_millis
30.52412000397453
usercpu_time_millis
22.649375001492444
usercpu_time_millis
20.94799600308761
usercpu_time_millis
24.653608998050913
usercpu_time_millis
25.8908519972465
usercpu_time_millis_testing
1.090824996936135
usercpu_time_millis_testing
1.0448280008859
usercpu_time_millis_testing
1.1342009966028854
usercpu_time_millis_testing
1.098669999919366
usercpu_time_millis_testing
1.1414139953558333
usercpu_time_millis_testing
1.1024140039808117
usercpu_time_millis_testing
1.0649030009517446
usercpu_time_millis_testing
1.0509960047784261
usercpu_time_millis_testing
1.067605997377541
usercpu_time_millis_testing
1.099975997931324
usercpu_time_millis_training
26.37819699884858
usercpu_time_millis_training
24.404242001764942
usercpu_time_millis_training
24.93177400174318
usercpu_time_millis_training
26.59384599974146
usercpu_time_millis_training
27.462735000881366
usercpu_time_millis_training
29.42170599999372
usercpu_time_millis_training
21.5844720005407
usercpu_time_millis_training
19.896999998309184
usercpu_time_millis_training
23.586003000673372
usercpu_time_millis_training
24.790875999315176
wall_clock_time_millis
27.482032775878906
wall_clock_time_millis
25.463581085205078
wall_clock_time_millis
26.079893112182617
wall_clock_time_millis
27.70709991455078
wall_clock_time_millis
28.619050979614258
wall_clock_time_millis
30.53903579711914
wall_clock_time_millis
22.665739059448242
wall_clock_time_millis
20.96390724182129
wall_clock_time_millis
24.668455123901367
wall_clock_time_millis
25.904417037963867
wall_clock_time_millis_testing
1.0981559753417969
wall_clock_time_millis_testing
1.0523796081542969
wall_clock_time_millis_testing
1.1408329010009766
wall_clock_time_millis_testing
1.1050701141357422
wall_clock_time_millis_testing
1.148223876953125
wall_clock_time_millis_testing
1.1088848114013672
wall_clock_time_millis_testing
1.0726451873779297
wall_clock_time_millis_testing
1.0585784912109375
wall_clock_time_millis_testing
1.0745525360107422
wall_clock_time_millis_testing
1.1076927185058594
wall_clock_time_millis_training
26.38387680053711
wall_clock_time_millis_training
24.41120147705078
wall_clock_time_millis_training
24.93906021118164
wall_clock_time_millis_training
26.60202980041504
wall_clock_time_millis_training
27.470827102661133
wall_clock_time_millis_training
29.430150985717773
wall_clock_time_millis_training
21.593093872070312
wall_clock_time_millis_training
19.90532875061035
wall_clock_time_millis_training
23.593902587890625
wall_clock_time_millis_training
24.796724319458008