10328140
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)
8183791
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
28.474882028277037
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.9087230217297251
13389
decision_function_shape
"ovr"
13389
degree
4
13389
gamma
0.1449257658205107
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
43094
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
21577966
description
https://api.openml.org/data/download/21577966/description.xml
-1
21577967
predictions
https://api.openml.org/data/download/21577967/predictions.arff
area_under_roc_curve
0.9398385547844678 [0.939839,0.939839]
average_cost
0
f_measure
0.9456366237482118 [0.958515,0.921162]
kappa
0.879677109568936
kb_relative_information_score
0.8745023925456848
mean_absolute_error
0.05436337625178827
mean_prior_absolute_error
0.4519499019385762
number_of_instances
699 [458,241]
precision
0.9456366237482118 [0.958515,0.921162]
predictive_accuracy
0.9456366237482118
prior_entropy
0.92931856324281
recall
0.9456366237482118 [0.958515,0.921162]
relative_absolute_error
0.12028628841073787
root_mean_prior_squared_error
0.47529612442517866
root_mean_squared_error
0.23315955106276104
root_relative_squared_error
0.4905563901762155
total_cost
0
area_under_roc_curve
0.9257246376811594 [0.925725,0.925725]
area_under_roc_curve
0.9574275362318839 [0.957428,0.957428]
area_under_roc_curve
0.9583333333333335 [0.958333,0.958333]
area_under_roc_curve
0.9356884057971013 [0.935688,0.935688]
area_under_roc_curve
0.9682971014492754 [0.968297,0.968297]
area_under_roc_curve
0.9682971014492754 [0.968297,0.968297]
area_under_roc_curve
0.9166666666666665 [0.916667,0.916667]
area_under_roc_curve
0.9257246376811594 [0.925725,0.925725]
area_under_roc_curve
0.9088888888888889 [0.908889,0.908889]
area_under_roc_curve
0.9347222222222222 [0.934722,0.934722]
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
0.9289078268670106 [0.945055,0.897959]
f_measure
0.9573446961202065 [0.967033,0.938776]
f_measure
0.9711114047839302 [0.978723,0.956522]
f_measure
0.9294684165801151 [0.94382,0.901961]
f_measure
0.9714285714285714 [0.978261,0.958333]
f_measure
0.9714285714285714 [0.978261,0.958333]
f_measure
0.9414502164502165 [0.958333,0.909091]
f_measure
0.9289078268670106 [0.945055,0.897959]
f_measure
0.9274438670457889 [0.946237,0.893617]
f_measure
0.9284181438692417 [0.942529,0.901961]
kappa
0.8430493273542602
kappa
0.9058295964125561
kappa
0.9353049907578558
kappa
0.8460861917326298
kappa
0.9365942028985507
kappa
0.9365942028985507
kappa
0.8679245283018867
kappa
0.8430493273542602
kappa
0.8401826484018265
kappa
0.844804318488529
kb_relative_information_score
0.8347920755775141
kb_relative_information_score
0.9008752453465084
kb_relative_information_score
0.9339168302310057
kb_relative_information_score
0.8347920755775141
kb_relative_information_score
0.9339168302310057
kb_relative_information_score
0.9339168302310057
kb_relative_information_score
0.8678336604620114
kb_relative_information_score
0.8347920755775142
kb_relative_information_score
0.8371089121111873
kb_relative_information_score
0.8332228392309345
mean_absolute_error
0.07142857142857142
mean_absolute_error
0.04285714285714286
mean_absolute_error
0.02857142857142857
mean_absolute_error
0.07142857142857142
mean_absolute_error
0.02857142857142857
mean_absolute_error
0.02857142857142857
mean_absolute_error
0.05714285714285714
mean_absolute_error
0.07142857142857142
mean_absolute_error
0.07142857142857142
mean_absolute_error
0.07246376811594203
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
0.9296507936507936 [0.955556,0.88]
precision
0.9579682539682539 [0.977778,0.92]
precision
0.9726190476190477 [0.958333,1]
precision
0.9339239571797712 [0.976744,0.851852]
precision
0.9714285714285714 [0.978261,0.958333]
precision
0.9714285714285714 [0.978261,0.958333]
precision
0.9474285714285713 [0.92,1]
precision
0.9296507936507936 [0.955556,0.88]
precision
0.9301948051948051 [0.916667,0.954545]
precision
0.9329422590292156 [0.97619,0.851852]
predictive_accuracy
0.9285714285714286
predictive_accuracy
0.9571428571428571
predictive_accuracy
0.9714285714285714
predictive_accuracy
0.9285714285714286
predictive_accuracy
0.9714285714285714
predictive_accuracy
0.9714285714285714
predictive_accuracy
0.942857142857143
predictive_accuracy
0.9285714285714286
predictive_accuracy
0.9285714285714286
predictive_accuracy
0.927536231884058
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
0.9285714285714286 [0.934783,0.916667]
recall
0.9571428571428572 [0.956522,0.958333]
recall
0.9714285714285714 [1,0.916667]
recall
0.9285714285714286 [0.913043,0.958333]
recall
0.9714285714285714 [0.978261,0.958333]
recall
0.9714285714285714 [0.978261,0.958333]
recall
0.9428571428571428 [1,0.833333]
recall
0.9285714285714286 [0.934783,0.916667]
recall
0.9285714285714286 [0.977778,0.84]
recall
0.927536231884058 [0.911111,0.958333]
relative_absolute_error
0.15825356691349107
relative_absolute_error
0.09495214014809465
relative_absolute_error
0.06330142676539643
relative_absolute_error
0.15825356691349107
relative_absolute_error
0.06330142676539643
relative_absolute_error
0.06330142676539643
relative_absolute_error
0.12660285353079287
relative_absolute_error
0.15825356691349107
relative_absolute_error
0.1567180862955511
relative_absolute_error
0.16000182598374876
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
0.2672612419124244
root_mean_squared_error
0.20701966780270625
root_mean_squared_error
0.1690308509457033
root_mean_squared_error
0.2672612419124244
root_mean_squared_error
0.1690308509457033
root_mean_squared_error
0.1690308509457033
root_mean_squared_error
0.23904572186687872
root_mean_squared_error
0.2672612419124244
root_mean_squared_error
0.2672612419124244
root_mean_squared_error
0.26919095102908275
root_relative_squared_error
0.5630462878945582
root_relative_squared_error
0.43613377923190605
root_relative_squared_error
0.35610173956993896
root_relative_squared_error
0.5630462878945582
root_relative_squared_error
0.35610173956993896
root_relative_squared_error
0.35610173956993896
root_relative_squared_error
0.5036039096844597
root_relative_squared_error
0.5630462878945582
root_relative_squared_error
0.5576007873561383
root_relative_squared_error
0.5651857117084224
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
12.819872004911304
usercpu_time_millis
12.102177002816461
usercpu_time_millis
12.7503039984731
usercpu_time_millis
11.979128001257777
usercpu_time_millis
12.107030001061503
usercpu_time_millis
12.105836998671293
usercpu_time_millis
12.143350002588704
usercpu_time_millis
11.502927998662926
usercpu_time_millis
12.35171499865828
usercpu_time_millis
12.197705000289716
usercpu_time_millis_testing
1.1603290040511638
usercpu_time_millis_testing
1.1140370042994618
usercpu_time_millis_testing
1.190686998597812
usercpu_time_millis_testing
1.1571080030989833
usercpu_time_millis_testing
1.1200930021004751
usercpu_time_millis_testing
1.1599330027820542
usercpu_time_millis_testing
1.1954549991060048
usercpu_time_millis_testing
1.1372919980203733
usercpu_time_millis_testing
1.230262998433318
usercpu_time_millis_testing
1.1495950020616874
usercpu_time_millis_training
11.65954300086014
usercpu_time_millis_training
10.988139998517
usercpu_time_millis_training
11.559616999875288
usercpu_time_millis_training
10.822019998158794
usercpu_time_millis_training
10.986936998961028
usercpu_time_millis_training
10.945903995889239
usercpu_time_millis_training
10.9478950034827
usercpu_time_millis_training
10.365636000642553
usercpu_time_millis_training
11.121452000224963
usercpu_time_millis_training
11.048109998228028
wall_clock_time_millis
12.833595275878906
wall_clock_time_millis
12.111902236938477
wall_clock_time_millis
12.761831283569336
wall_clock_time_millis
11.991739273071289
wall_clock_time_millis
12.11857795715332
wall_clock_time_millis
12.119293212890625
wall_clock_time_millis
12.188911437988281
wall_clock_time_millis
11.517047882080078
wall_clock_time_millis
12.370109558105469
wall_clock_time_millis
12.212276458740234
wall_clock_time_millis_testing
1.1687278747558594
wall_clock_time_millis_testing
1.1208057403564453
wall_clock_time_millis_testing
1.1970996856689453
wall_clock_time_millis_testing
1.163482666015625
wall_clock_time_millis_testing
1.127481460571289
wall_clock_time_millis_testing
1.1675357818603516
wall_clock_time_millis_testing
1.2183189392089844
wall_clock_time_millis_testing
1.146554946899414
wall_clock_time_millis_testing
1.2392997741699219
wall_clock_time_millis_testing
1.1570453643798828
wall_clock_time_millis_training
11.664867401123047
wall_clock_time_millis_training
10.991096496582031
wall_clock_time_millis_training
11.56473159790039
wall_clock_time_millis_training
10.828256607055664
wall_clock_time_millis_training
10.991096496582031
wall_clock_time_millis_training
10.951757431030273
wall_clock_time_millis_training
10.970592498779297
wall_clock_time_millis_training
10.370492935180664
wall_clock_time_millis_training
11.130809783935547
wall_clock_time_millis_training
11.055231094360352