10328147
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)
8183798
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
352.1682632247339
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.06806222923892684
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
64941
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
21577980
description
https://api.openml.org/data/download/21577980/description.xml
-1
21577981
predictions
https://api.openml.org/data/download/21577981/predictions.arff
area_under_roc_curve
0.9367808802478755 [0.936781,0.936781]
average_cost
0
f_measure
0.9441223558106742 [0.957563,0.91858]
kappa
0.8761454760228072
kb_relative_information_score
0.8711998239284662
mean_absolute_error
0.055793991416309016
mean_prior_absolute_error
0.4519499019385762
number_of_instances
699 [458,241]
precision
0.9440769222885639 [0.954447,0.92437]
predictive_accuracy
0.944206008583691
prior_entropy
0.92931856324281
recall
0.944206008583691 [0.960699,0.912863]
relative_absolute_error
0.1234517170531257
root_mean_prior_squared_error
0.47529612442517866
root_mean_squared_error
0.23620751769642942
root_relative_squared_error
0.496969164186007
total_cost
0
area_under_roc_curve
0.9365942028985509 [0.936594,0.936594]
area_under_roc_curve
0.9574275362318839 [0.957428,0.957428]
area_under_roc_curve
0.9375 [0.9375,0.9375]
area_under_roc_curve
0.9565217391304348 [0.956522,0.956522]
area_under_roc_curve
0.9682971014492754 [0.968297,0.968297]
area_under_roc_curve
0.9266304347826088 [0.92663,0.92663]
area_under_roc_curve
0.9166666666666665 [0.916667,0.916667]
area_under_roc_curve
0.9148550724637681 [0.914855,0.914855]
area_under_roc_curve
0.9088888888888889 [0.908889,0.908889]
area_under_roc_curve
0.9458333333333334 [0.945833,0.945833]
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
0.9428571428571428 [0.956522,0.916667]
f_measure
0.9573446961202065 [0.967033,0.938776]
f_measure
0.956390977443609 [0.968421,0.933333]
f_measure
0.9437562437562438 [0.954545,0.923077]
f_measure
0.9714285714285714 [0.978261,0.958333]
f_measure
0.9422228095678605 [0.957447,0.913043]
f_measure
0.9414502164502165 [0.958333,0.909091]
f_measure
0.915047619047619 [0.933333,0.88]
f_measure
0.9274438670457889 [0.946237,0.893617]
f_measure
0.9425296442687746 [0.954545,0.92]
kappa
0.8731884057971014
kappa
0.9058295964125561
kappa
0.9019607843137256
kappa
0.8780487804878049
kappa
0.9365942028985507
kappa
0.8706099815157116
kappa
0.8679245283018867
kappa
0.8134991119005328
kappa
0.8401826484018265
kappa
0.874659400544959
kb_relative_information_score
0.8678336604620113
kb_relative_information_score
0.9008752453465084
kb_relative_information_score
0.9008752453465084
kb_relative_information_score
0.8678336604620113
kb_relative_information_score
0.9339168302310057
kb_relative_information_score
0.8678336604620114
kb_relative_information_score
0.8678336604620114
kb_relative_information_score
0.801750490693017
kb_relative_information_score
0.8371089121111873
kb_relative_information_score
0.8665782713847476
mean_absolute_error
0.05714285714285714
mean_absolute_error
0.04285714285714286
mean_absolute_error
0.04285714285714286
mean_absolute_error
0.05714285714285714
mean_absolute_error
0.02857142857142857
mean_absolute_error
0.05714285714285714
mean_absolute_error
0.05714285714285714
mean_absolute_error
0.08571428571428572
mean_absolute_error
0.07142857142857142
mean_absolute_error
0.057971014492753624
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
0.9428571428571428 [0.956522,0.916667]
precision
0.9579682539682539 [0.977778,0.92]
precision
0.9597667638483965 [0.938776,1]
precision
0.9510204081632653 [1,0.857143]
precision
0.9714285714285714 [0.978261,0.958333]
precision
0.9433441558441558 [0.9375,0.954545]
precision
0.9474285714285713 [0.92,1]
precision
0.9173826173826175 [0.954545,0.846154]
precision
0.9301948051948051 [0.916667,0.954545]
precision
0.9446993855487282 [0.976744,0.884615]
predictive_accuracy
0.942857142857143
predictive_accuracy
0.9571428571428571
predictive_accuracy
0.9571428571428571
predictive_accuracy
0.942857142857143
predictive_accuracy
0.9714285714285714
predictive_accuracy
0.942857142857143
predictive_accuracy
0.942857142857143
predictive_accuracy
0.9142857142857143
predictive_accuracy
0.9285714285714286
predictive_accuracy
0.9420289855072465
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
0.9428571428571428 [0.956522,0.916667]
recall
0.9571428571428572 [0.956522,0.958333]
recall
0.9571428571428572 [1,0.875]
recall
0.9428571428571428 [0.913043,1]
recall
0.9714285714285714 [0.978261,0.958333]
recall
0.9428571428571428 [0.978261,0.875]
recall
0.9428571428571428 [1,0.833333]
recall
0.9142857142857143 [0.913043,0.916667]
recall
0.9285714285714286 [0.977778,0.84]
recall
0.9420289855072463 [0.933333,0.958333]
relative_absolute_error
0.12660285353079287
relative_absolute_error
0.09495214014809465
relative_absolute_error
0.09495214014809465
relative_absolute_error
0.12660285353079287
relative_absolute_error
0.06330142676539643
relative_absolute_error
0.12660285353079287
relative_absolute_error
0.12660285353079287
relative_absolute_error
0.1899042802961893
relative_absolute_error
0.1567180862955511
relative_absolute_error
0.128001460786999
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
0.23904572186687872
root_mean_squared_error
0.20701966780270625
root_mean_squared_error
0.20701966780270625
root_mean_squared_error
0.23904572186687872
root_mean_squared_error
0.1690308509457033
root_mean_squared_error
0.23904572186687872
root_mean_squared_error
0.23904572186687872
root_mean_squared_error
0.29277002188455997
root_mean_squared_error
0.2672612419124244
root_mean_squared_error
0.2407717061715384
root_relative_squared_error
0.5036039096844597
root_relative_squared_error
0.43613377923190605
root_relative_squared_error
0.43613377923190605
root_relative_squared_error
0.5036039096844597
root_relative_squared_error
0.35610173956993896
root_relative_squared_error
0.5036039096844597
root_relative_squared_error
0.5036039096844597
root_relative_squared_error
0.616786305598795
root_relative_squared_error
0.5576007873561383
root_relative_squared_error
0.5055174685166525
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
13.958942996396217
usercpu_time_millis
13.168842007871717
usercpu_time_millis
13.7781309967977
usercpu_time_millis
13.345981999009382
usercpu_time_millis
13.165445998311043
usercpu_time_millis
13.442221003060695
usercpu_time_millis
13.21746200119378
usercpu_time_millis
11.771518999012187
usercpu_time_millis
12.359204003587365
usercpu_time_millis
13.51063400215935
usercpu_time_millis_testing
1.0823459961102344
usercpu_time_millis_testing
1.1084300058428198
usercpu_time_millis_testing
1.0885489973588847
usercpu_time_millis_testing
1.1022449980373494
usercpu_time_millis_testing
1.063145995431114
usercpu_time_millis_testing
1.0851260012714192
usercpu_time_millis_testing
1.0532000014791265
usercpu_time_millis_testing
1.0362440007156692
usercpu_time_millis_testing
1.0135250049643219
usercpu_time_millis_testing
1.0515640024095774
usercpu_time_millis_training
12.876597000285983
usercpu_time_millis_training
12.060412002028897
usercpu_time_millis_training
12.689581999438815
usercpu_time_millis_training
12.243737000972033
usercpu_time_millis_training
12.102300002879929
usercpu_time_millis_training
12.357095001789276
usercpu_time_millis_training
12.164261999714654
usercpu_time_millis_training
10.735274998296518
usercpu_time_millis_training
11.345678998623043
usercpu_time_millis_training
12.459069999749772
wall_clock_time_millis
37.973642349243164
wall_clock_time_millis
13.18359375
wall_clock_time_millis
13.793230056762695
wall_clock_time_millis
13.360261917114258
wall_clock_time_millis
13.178586959838867
wall_clock_time_millis
13.453006744384766
wall_clock_time_millis
13.229608535766602
wall_clock_time_millis
11.783361434936523
wall_clock_time_millis
12.371063232421875
wall_clock_time_millis
13.521194458007812
wall_clock_time_millis_testing
1.0902881622314453
wall_clock_time_millis_testing
1.1150836944580078
wall_clock_time_millis_testing
1.0962486267089844
wall_clock_time_millis_testing
1.1098384857177734
wall_clock_time_millis_testing
1.0688304901123047
wall_clock_time_millis_testing
1.092672348022461
wall_clock_time_millis_testing
1.0602474212646484
wall_clock_time_millis_testing
1.0418891906738281
wall_clock_time_millis_testing
1.018524169921875
wall_clock_time_millis_testing
1.0576248168945312
wall_clock_time_millis_training
36.88335418701172
wall_clock_time_millis_training
12.068510055541992
wall_clock_time_millis_training
12.696981430053711
wall_clock_time_millis_training
12.250423431396484
wall_clock_time_millis_training
12.109756469726562
wall_clock_time_millis_training
12.360334396362305
wall_clock_time_millis_training
12.169361114501953
wall_clock_time_millis_training
10.741472244262695
wall_clock_time_millis_training
11.3525390625
wall_clock_time_millis_training
12.463569641113281