10327885
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)
8183536
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
478.18056009081954
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.07786807433446227
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
54780
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
21577456
description
https://api.openml.org/data/download/21577456/description.xml
-1
21577457
predictions
https://api.openml.org/data/download/21577457/predictions.arff
area_under_roc_curve
0.9347061914511949 [0.934706,0.934706]
average_cost
0
f_measure
0.942660361237486 [0.956522,0.916318]
kappa
0.8728443571272648
kb_relative_information_score
0.8678972553112473
mean_absolute_error
0.05722460658082976
mean_prior_absolute_error
0.4519499019385762
number_of_instances
699 [458,241]
precision
0.9426132742805747 [0.952381,0.924051]
predictive_accuracy
0.9427753934191702
prior_entropy
0.92931856324281
recall
0.9427753934191703 [0.960699,0.908714]
relative_absolute_error
0.12661714569551352
root_mean_prior_squared_error
0.47529612442517866
root_mean_squared_error
0.2392166519722859
root_relative_squared_error
0.5033002367978354
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
0.9356884057971013 [0.935688,0.935688]
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
0.9294684165801151 [0.94382,0.901961]
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
0.8460861917326298
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
0.8347920755775141
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
0.07142857142857142
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
0.9339239571797712 [0.976744,0.851852]
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
0.9285714285714286
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
0.9285714285714286 [0.913043,0.958333]
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
0.15825356691349107
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
0.2672612419124244
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
0.5630462878945582
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
14.627737997216173
usercpu_time_millis
14.322729999548756
usercpu_time_millis
14.197473996318877
usercpu_time_millis
13.364079997700173
usercpu_time_millis
14.566599995305296
usercpu_time_millis
14.990588002547156
usercpu_time_millis
13.197857995692175
usercpu_time_millis
12.7218530033133
usercpu_time_millis
12.929415992402937
usercpu_time_millis
13.50213599653216
usercpu_time_millis_testing
1.1455629937699996
usercpu_time_millis_testing
1.0787860010168515
usercpu_time_millis_testing
1.135134996729903
usercpu_time_millis_testing
1.108514996303711
usercpu_time_millis_testing
1.1222190005355515
usercpu_time_millis_testing
1.1128670012112707
usercpu_time_millis_testing
0.9924199985107407
usercpu_time_millis_testing
1.012028005789034
usercpu_time_millis_testing
1.0158839941141196
usercpu_time_millis_testing
1.0103739987243898
usercpu_time_millis_training
13.482175003446173
usercpu_time_millis_training
13.243943998531904
usercpu_time_millis_training
13.062338999588974
usercpu_time_millis_training
12.255565001396462
usercpu_time_millis_training
13.444380994769745
usercpu_time_millis_training
13.877721001335885
usercpu_time_millis_training
12.205437997181434
usercpu_time_millis_training
11.709824997524265
usercpu_time_millis_training
11.913531998288818
usercpu_time_millis_training
12.491761997807771
wall_clock_time_millis
30.628442764282227
wall_clock_time_millis
30.326128005981445
wall_clock_time_millis
14.209508895874023
wall_clock_time_millis
13.37742805480957
wall_clock_time_millis
30.575037002563477
wall_clock_time_millis
31.004667282104492
wall_clock_time_millis
13.205289840698242
wall_clock_time_millis
12.730836868286133
wall_clock_time_millis
12.939691543579102
wall_clock_time_millis
13.513565063476562
wall_clock_time_millis_testing
1.1513233184814453
wall_clock_time_millis_testing
1.0836124420166016
wall_clock_time_millis_testing
1.1408329010009766
wall_clock_time_millis_testing
1.1150836944580078
wall_clock_time_millis_testing
1.1277198791503906
wall_clock_time_millis_testing
1.1181831359863281
wall_clock_time_millis_testing
0.9965896606445312
wall_clock_time_millis_testing
1.016378402709961
wall_clock_time_millis_testing
1.0199546813964844
wall_clock_time_millis_testing
1.0151863098144531
wall_clock_time_millis_training
29.47711944580078
wall_clock_time_millis_training
29.242515563964844
wall_clock_time_millis_training
13.068675994873047
wall_clock_time_millis_training
12.262344360351562
wall_clock_time_millis_training
29.447317123413086
wall_clock_time_millis_training
29.886484146118164
wall_clock_time_millis_training
12.208700180053711
wall_clock_time_millis_training
11.714458465576172
wall_clock_time_millis_training
11.919736862182617
wall_clock_time_millis_training
12.49837875366211