10328702
8323
Heinrich Peters
37
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8184326
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
0.6945819136497673
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.8068153098494797
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.05994234861688584
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
12568
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.
37
diabetes
https://www.openml.org/data/download/37/dataset_37_diabetes.arff
-1
21579092
description
https://api.openml.org/data/download/21579092/description.xml
-1
21579093
predictions
https://api.openml.org/data/download/21579093/predictions.arff
area_under_roc_curve
0.700134328358209 [0.700134,0.700134]
average_cost
0
f_measure
0.7481692296896097 [0.831647,0.592428]
kappa
0.43286954837460045
kb_relative_information_score
0.45422832766667814
mean_absolute_error
0.23828125
mean_prior_absolute_error
0.4544913419913401
number_of_instances
768 [500,268]
precision
0.7577300712020104 [0.770017,0.734807]
predictive_accuracy
0.76171875
prior_entropy
0.9331348051619819
recall
0.76171875 [0.904,0.496269]
relative_absolute_error
0.5242811644243384
root_mean_prior_squared_error
0.4766409223329586
root_mean_squared_error
0.4881406047441659
root_relative_squared_error
1.0241265109066193
total_cost
0
area_under_roc_curve
0.7933333333333333 [0.793333,0.793333]
area_under_roc_curve
0.6337037037037037 [0.633704,0.633704]
area_under_roc_curve
0.7192592592592593 [0.719259,0.719259]
area_under_roc_curve
0.6181481481481481 [0.618148,0.618148]
area_under_roc_curve
0.7092592592592593 [0.709259,0.709259]
area_under_roc_curve
0.8018518518518518 [0.801852,0.801852]
area_under_roc_curve
0.6907407407407409 [0.690741,0.690741]
area_under_roc_curve
0.7122222222222221 [0.712222,0.712222]
area_under_roc_curve
0.6515384615384615 [0.651538,0.651538]
area_under_roc_curve
0.67 [0.67,0.67]
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
0.8265747857584592 [0.87619,0.734694]
f_measure
0.6837602764208268 [0.788991,0.488889]
f_measure
0.7662575956153937 [0.844037,0.622222]
f_measure
0.6738397718434016 [0.810345,0.421053]
f_measure
0.7545642763034068 [0.833333,0.608696]
f_measure
0.8286619148983513 [0.873786,0.745098]
f_measure
0.7387584892172047 [0.825688,0.577778]
f_measure
0.7686033264980632 [0.859649,0.6]
f_measure
0.7061749744534154 [0.807339,0.511628]
f_measure
0.7155655095184772 [0.8,0.553191]
kappa
0.6127659574468087
kappa
0.2896109105495387
kappa
0.47492980344965907
kappa
0.27358490566037735
kappa
0.44912559618441983
kappa
0.619536297985557
kappa
0.4131568391496189
kappa
0.48191757779646777
kappa
0.33053691275167785
kappa
0.3564516129032259
kb_relative_information_score
0.6139280939002144
kb_relative_information_score
0.316949704592687
kb_relative_information_score
0.4951367381772037
kb_relative_information_score
0.3466475435234399
kb_relative_information_score
0.4654388992464511
kb_relative_information_score
0.613928093900214
kb_relative_information_score
0.4357410603156983
kb_relative_information_score
0.5248345771079564
kb_relative_information_score
0.3629141743626787
kb_relative_information_score
0.3629141743626787
mean_absolute_error
0.16883116883116883
mean_absolute_error
0.2987012987012987
mean_absolute_error
0.22077922077922077
mean_absolute_error
0.2857142857142857
mean_absolute_error
0.23376623376623376
mean_absolute_error
0.16883116883116883
mean_absolute_error
0.24675324675324675
mean_absolute_error
0.2077922077922078
mean_absolute_error
0.27631578947368424
mean_absolute_error
0.27631578947368424
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.45242652084757423
mean_prior_absolute_error
0.45242652084757423
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
76 [50,26]
number_of_instances
76 [50,26]
precision
0.8299881936245572 [0.836364,0.818182]
precision
0.687541272287035 [0.728814,0.611111]
precision
0.7790006603565925 [0.779661,0.777778]
precision
0.7174340810704448 [0.712121,0.727273]
precision
0.7621797440309238 [0.775862,0.736842]
precision
0.8289328595932369 [0.849057,0.791667]
precision
0.74851419766674 [0.762712,0.722222]
precision
0.8208354145854145 [0.765625,0.923077]
precision
0.7119955921708558 [0.745763,0.647059]
precision
0.7141717931191616 [0.763636,0.619048]
predictive_accuracy
0.8311688311688311
predictive_accuracy
0.7012987012987013
predictive_accuracy
0.7792207792207791
predictive_accuracy
0.7142857142857143
predictive_accuracy
0.7662337662337663
predictive_accuracy
0.8311688311688311
predictive_accuracy
0.7532467532467533
predictive_accuracy
0.7922077922077922
predictive_accuracy
0.7236842105263157
predictive_accuracy
0.7236842105263157
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9269862002370954
prior_entropy
0.9269862002370954
recall
0.8311688311688312 [0.92,0.666667]
recall
0.7012987012987013 [0.86,0.407407]
recall
0.7792207792207793 [0.92,0.518519]
recall
0.7142857142857143 [0.94,0.296296]
recall
0.7662337662337663 [0.9,0.518519]
recall
0.8311688311688312 [0.9,0.703704]
recall
0.7532467532467533 [0.9,0.481481]
recall
0.7922077922077922 [0.98,0.444444]
recall
0.7236842105263158 [0.88,0.423077]
recall
0.7236842105263158 [0.84,0.5]
relative_absolute_error
0.3710568261852685
relative_absolute_error
0.6564851540200902
relative_absolute_error
0.4852281573191972
relative_absolute_error
0.6279423212366081
relative_absolute_error
0.5137709901026793
relative_absolute_error
0.3710568261852685
relative_absolute_error
0.5423138228861615
relative_absolute_error
0.45668532453571503
relative_absolute_error
0.6107418038978688
relative_absolute_error
0.6107418038978688
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4744699650121647
root_mean_prior_squared_error
0.4744699650121647
root_mean_squared_error
0.4108907018066591
root_mean_squared_error
0.5465357250000211
root_mean_squared_error
0.4698714938993648
root_mean_squared_error
0.5345224838248488
root_mean_squared_error
0.48349377841522817
root_mean_squared_error
0.4108907018066591
root_mean_squared_error
0.496742636335202
root_mean_squared_error
0.4558423058385518
root_mean_squared_error
0.5256574830378469
root_mean_squared_error
0.5256574830378469
root_relative_squared_error
0.8610900005613504
root_relative_squared_error
1.1453567717103283
root_relative_squared_error
0.9846940881518128
root_relative_squared_error
1.1201810210671799
root_relative_squared_error
1.0132418574973725
root_relative_squared_error
0.8610900005613504
root_relative_squared_error
1.0410070491251833
root_relative_squared_error
0.9552935845579276
root_relative_squared_error
1.1078835791520962
root_relative_squared_error
1.1078835791520962
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
20.339342998340726
usercpu_time_millis
19.27698601502925
usercpu_time_millis
19.39319101802539
usercpu_time_millis
19.10867399419658
usercpu_time_millis
19.399707016418688
usercpu_time_millis
19.665272993734106
usercpu_time_millis
19.632812996860594
usercpu_time_millis
19.40700200793799
usercpu_time_millis
19.485635013552383
usercpu_time_millis
19.377437987714075
usercpu_time_millis_testing
1.5511560050072148
usercpu_time_millis_testing
1.6034150030463934
usercpu_time_millis_testing
1.5782390109961852
usercpu_time_millis_testing
1.509444002294913
usercpu_time_millis_testing
1.5671440050937235
usercpu_time_millis_testing
1.742155000101775
usercpu_time_millis_testing
1.6453139978693798
usercpu_time_millis_testing
1.5869729977566749
usercpu_time_millis_testing
1.564147009048611
usercpu_time_millis_testing
1.572451990796253
usercpu_time_millis_training
18.78818699333351
usercpu_time_millis_training
17.673571011982858
usercpu_time_millis_training
17.814952007029206
usercpu_time_millis_training
17.599229991901666
usercpu_time_millis_training
17.832563011324964
usercpu_time_millis_training
17.92311799363233
usercpu_time_millis_training
17.987498998991214
usercpu_time_millis_training
17.820029010181315
usercpu_time_millis_training
17.92148800450377
usercpu_time_millis_training
17.80498599691782
wall_clock_time_millis
52.34956741333008
wall_clock_time_millis
35.28857231140137
wall_clock_time_millis
19.410133361816406
wall_clock_time_millis
19.121885299682617
wall_clock_time_millis
19.41514015197754
wall_clock_time_millis
19.682884216308594
wall_clock_time_millis
19.64855194091797
wall_clock_time_millis
19.422531127929688
wall_clock_time_millis
19.5009708404541
wall_clock_time_millis
19.394636154174805
wall_clock_time_millis_testing
1.5554428100585938
wall_clock_time_millis_testing
1.6109943389892578
wall_clock_time_millis_testing
1.5869140625
wall_clock_time_millis_testing
1.5163421630859375
wall_clock_time_millis_testing
1.5747547149658203
wall_clock_time_millis_testing
1.7518997192382812
wall_clock_time_millis_testing
1.6531944274902344
wall_clock_time_millis_testing
1.5933513641357422
wall_clock_time_millis_testing
1.5726089477539062
wall_clock_time_millis_testing
1.581430435180664
wall_clock_time_millis_training
50.794124603271484
wall_clock_time_millis_training
33.67757797241211
wall_clock_time_millis_training
17.823219299316406
wall_clock_time_millis_training
17.60554313659668
wall_clock_time_millis_training
17.84038543701172
wall_clock_time_millis_training
17.930984497070312
wall_clock_time_millis_training
17.995357513427734
wall_clock_time_millis_training
17.829179763793945
wall_clock_time_millis_training
17.928361892700195
wall_clock_time_millis_training
17.81320571899414