10559094
8323
Heinrich Peters
15
Supervised Classification
17494
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(4)
8270264
copy
true
17405
with_mean
true
17405
with_std
true
17405
add_indicator
false
17407
copy
true
17407
fill_value
null
17407
missing_values
NaN
17407
strategy
"median"
17407
verbose
0
17407
memory
null
17494
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"}}]
17494
verbose
false
17494
C
1.2019329859336583
17495
cache_size
200
17495
class_weight
null
17495
coef0
-0.8056274588169823
17495
decision_function_shape
"ovr"
17495
degree
2
17495
gamma
0.14660663245874161
17495
kernel
"rbf"
17495
max_iter
-1
17495
probability
true
17495
random_state
1
17495
shrinking
true
17495
tol
0.001
17495
verbose
false
17495
openml-python
Sklearn_0.21.2.
15
breast-w
https://www.openml.org/data/download/52350/openml_phpJNxH0q
-1
22043152
description
https://api.openml.org/data/download/22043152/description.xml
-1
22043153
predictions
https://api.openml.org/data/download/22043153/predictions.arff
area_under_roc_curve
0.9903875772345939 [0.990388,0.990388]
average_cost
0
f_measure
0.9686447432577614 [0.975771,0.955102]
kappa
0.9308829081495065
kb_relative_information_score
0.8885611414740876
mean_absolute_error
0.0546886994952139
mean_prior_absolute_error
0.4519499019385762
weighted_recall
0.9685264663805436 [0.967249,0.970954]
number_of_instances
699 [458,241]
precision
0.9690378873625164 [0.984444,0.939759]
predictive_accuracy
0.9685264663805436
prior_entropy
0.92931856324281
relative_absolute_error
0.12100610988216688
root_mean_prior_squared_error
0.47529612442517866
root_mean_squared_error
0.16182334161765294
root_relative_squared_error
0.34046846439861356
total_cost
0
unweighted_recall
0.9691016325717081 [0.967249,0.970954]
area_under_roc_curve
0.9981884057971013 [0.998188,0.998188]
area_under_roc_curve
0.9791666666666665 [0.979167,0.979167]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.9990942028985509 [0.999094,0.999094]
area_under_roc_curve
0.9972826086956522 [0.997283,0.997283]
area_under_roc_curve
0.9981884057971013 [0.998188,0.998188]
area_under_roc_curve
0.9728260869565218 [0.972826,0.972826]
area_under_roc_curve
0.9786666666666666 [0.978667,0.978667]
area_under_roc_curve
0.9916666666666666 [0.991667,0.991667]
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
0.985781565373402 [0.989011,0.979592]
f_measure
0.9716825396825397 [0.977778,0.96]
f_measure
0.9856391149459097 [0.989247,0.978723]
f_measure
0.957681049948069 [0.966292,0.941176]
f_measure
0.9714285714285714 [0.978261,0.958333]
f_measure
0.9714285714285714 [0.978261,0.958333]
f_measure
0.9711114047839302 [0.978723,0.956522]
f_measure
0.9433650793650794 [0.955556,0.92]
f_measure
0.9573222547445945 [0.966292,0.941176]
f_measure
0.9712648221343874 [0.977273,0.96]
kappa
0.9686098654708521
kappa
0.9378330373001776
kappa
0.9679780420860019
kappa
0.907651715039578
kappa
0.9365942028985507
kappa
0.9365942028985507
kappa
0.9353049907578558
kappa
0.8756660746003552
kappa
0.907488986784141
kappa
0.9373297002724795
kb_relative_information_score
0.8997842068464589
kb_relative_information_score
0.9020849714835958
kb_relative_information_score
0.9356584869870432
kb_relative_information_score
0.87484736663781
kb_relative_information_score
0.9139099910902957
kb_relative_information_score
0.9068957930895976
kb_relative_information_score
0.888320256663286
kb_relative_information_score
0.8182690470616035
kb_relative_information_score
0.8651576369273504
kb_relative_information_score
0.880944868370672
mean_absolute_error
0.04985246559974684
mean_absolute_error
0.048317988289071356
mean_absolute_error
0.03422661959875695
mean_absolute_error
0.05909224996679438
mean_absolute_error
0.04441529397026395
mean_absolute_error
0.045549667706117444
mean_absolute_error
0.05599415105307955
mean_absolute_error
0.08504768888615998
mean_absolute_error
0.0654804265813439
mean_absolute_error
0.05897162799363902
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
0.9862857142857142 [1,0.96]
precision
0.9736263736263737 [1,0.923077]
precision
0.9860182370820668 [0.978723,1]
precision
0.9619047619047618 [1,0.888889]
precision
0.9714285714285714 [0.978261,0.958333]
precision
0.9714285714285714 [0.978261,0.958333]
precision
0.9726190476190477 [0.958333,1]
precision
0.9455044955044954 [0.977273,0.884615]
precision
0.9579170829170829 [0.977273,0.923077]
precision
0.9732441471571908 [1,0.923077]
predictive_accuracy
0.9857142857142857
predictive_accuracy
0.9714285714285714
predictive_accuracy
0.9857142857142857
predictive_accuracy
0.9571428571428571
predictive_accuracy
0.9714285714285714
predictive_accuracy
0.9714285714285714
predictive_accuracy
0.9714285714285714
predictive_accuracy
0.942857142857143
predictive_accuracy
0.9571428571428571
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
relative_absolute_error
0.11045062700828868
relative_absolute_error
0.10705091589961765
relative_absolute_error
0.07583078488852282
relative_absolute_error
0.13092183067864369
relative_absolute_error
0.0984043017482776
relative_absolute_error
0.10091756340704278
relative_absolute_error
0.12405783782619713
relative_absolute_error
0.18842740173577163
relative_absolute_error
0.14366754001102375
relative_absolute_error
0.13021084061098906
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
0.1430847859117278
root_mean_squared_error
0.16539706453870165
root_mean_squared_error
0.0926881806506391
root_mean_squared_error
0.17156169064855903
root_mean_squared_error
0.11336781258521436
root_mean_squared_error
0.16249785476299147
root_mean_squared_error
0.1621368369895152
root_mean_squared_error
0.21474569445285185
root_mean_squared_error
0.18404293436432942
root_mean_squared_error
0.17476419417996444
root_relative_squared_error
0.3014404819243665
root_relative_squared_error
0.3484463461697451
root_relative_squared_error
0.19526862807942547
root_relative_squared_error
0.36143352613858787
root_relative_squared_error
0.23883495259573415
root_relative_squared_error
0.34233850467967186
root_relative_squared_error
0.34157793904072903
root_relative_squared_error
0.45241040278723754
root_relative_squared_error
0.3839781794567552
root_relative_squared_error
0.36692996213710316
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
unweighted_recall
0.9891304347826086 [0.978261,1]
unweighted_recall
0.9782608695652174 [0.956522,1]
unweighted_recall
0.9791666666666667 [1,0.958333]
unweighted_recall
0.9673913043478262 [0.934783,1]
unweighted_recall
0.9682971014492754 [0.978261,0.958333]
unweighted_recall
0.9682971014492754 [0.978261,0.958333]
unweighted_recall
0.9583333333333333 [1,0.916667]
unweighted_recall
0.9465579710144928 [0.934783,0.958333]
unweighted_recall
0.9577777777777778 [0.955556,0.96]
unweighted_recall
0.9777777777777779 [0.955556,1]
usercpu_time_millis
24.045999998634215
usercpu_time_millis
23.192000000562984
usercpu_time_millis
31.166000000666827
usercpu_time_millis
24.32799999951385
usercpu_time_millis
23.954000000230735
usercpu_time_millis
23.35999999922933
usercpu_time_millis
23.310000000492437
usercpu_time_millis
21.852000001672423
usercpu_time_millis
25.80800000214367
usercpu_time_millis
22.752000000764383
usercpu_time_millis_testing
0.9439999994356185
usercpu_time_millis_testing
0.8280000001832377
usercpu_time_millis_testing
0.9879999997792765
usercpu_time_millis_testing
0.963999998930376
usercpu_time_millis_testing
0.8459999990009237
usercpu_time_millis_testing
0.9040000004461035
usercpu_time_millis_testing
0.8600000001024455
usercpu_time_millis_testing
0.8020000022952445
usercpu_time_millis_testing
0.8780000025581103
usercpu_time_millis_testing
0.8120000020426232
usercpu_time_millis_training
23.101999999198597
usercpu_time_millis_training
22.364000000379747
usercpu_time_millis_training
30.17800000088755
usercpu_time_millis_training
23.364000000583474
usercpu_time_millis_training
23.10800000122981
usercpu_time_millis_training
22.455999998783227
usercpu_time_millis_training
22.45000000038999
usercpu_time_millis_training
21.049999999377178
usercpu_time_millis_training
24.92999999958556
usercpu_time_millis_training
21.93999999872176
wall_clock_time_millis
12.063980102539062
wall_clock_time_millis
11.66987419128418
wall_clock_time_millis
16.385793685913086
wall_clock_time_millis
12.369155883789062
wall_clock_time_millis
12.01772689819336
wall_clock_time_millis
11.752605438232422
wall_clock_time_millis
11.696100234985352
wall_clock_time_millis
10.941028594970703
wall_clock_time_millis
12.986898422241211
wall_clock_time_millis
11.399030685424805
wall_clock_time_millis_testing
0.47588348388671875
wall_clock_time_millis_testing
0.4169940948486328
wall_clock_time_millis_testing
0.49686431884765625
wall_clock_time_millis_testing
0.4851818084716797
wall_clock_time_millis_testing
0.4248619079589844
wall_clock_time_millis_testing
0.4558563232421875
wall_clock_time_millis_testing
0.4341602325439453
wall_clock_time_millis_testing
0.4029273986816406
wall_clock_time_millis_testing
0.4420280456542969
wall_clock_time_millis_testing
0.408172607421875
wall_clock_time_millis_training
11.588096618652344
wall_clock_time_millis_training
11.252880096435547
wall_clock_time_millis_training
15.88892936706543
wall_clock_time_millis_training
11.883974075317383
wall_clock_time_millis_training
11.592864990234375
wall_clock_time_millis_training
11.296749114990234
wall_clock_time_millis_training
11.261940002441406
wall_clock_time_millis_training
10.538101196289062
wall_clock_time_millis_training
12.544870376586914
wall_clock_time_millis_training
10.99085807800293
weighted_recall
0.9857142857142858 [0.978261,1]
weighted_recall
0.9714285714285714 [0.956522,1]
weighted_recall
0.9857142857142858 [1,0.958333]
weighted_recall
0.9571428571428572 [0.934783,1]
weighted_recall
0.9714285714285714 [0.978261,0.958333]
weighted_recall
0.9714285714285714 [0.978261,0.958333]
weighted_recall
0.9714285714285714 [1,0.916667]
weighted_recall
0.9428571428571428 [0.934783,0.958333]
weighted_recall
0.9571428571428572 [0.955556,0.96]
weighted_recall
0.9710144927536232 [0.955556,1]