10367932
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)
8223284
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
0.6924057373577415
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.46594279667222027
13389
decision_function_shape
"ovr"
13389
degree
2
13389
gamma
0.027501589087229522
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
51197
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
21657569
description
https://api.openml.org/data/download/21657569/description.xml
-1
21657570
predictions
https://api.openml.org/data/download/21657570/predictions.arff
area_under_roc_curve
0.7153283582089552 [0.715328,0.715328]
average_cost
0
f_measure
0.7623357251848596 [0.840553,0.616408]
kappa
0.4648622522957951
kb_relative_information_score
0.4840519163187722
mean_absolute_error
0.22526041666666666
mean_prior_absolute_error
0.4544913419913401
number_of_instances
768 [500,268]
precision
0.7725344157208912 [0.779487,0.759563]
predictive_accuracy
0.7747395833333333
prior_entropy
0.9331348051619819
recall
0.7747395833333334 [0.912,0.518657]
relative_absolute_error
0.4956319204667242
root_mean_prior_squared_error
0.4766409223329586
root_mean_squared_error
0.47461607291227154
root_relative_squared_error
0.9957518347128561
total_cost
0
area_under_roc_curve
0.8103703703703704 [0.81037,0.81037]
area_under_roc_curve
0.6537037037037037 [0.653704,0.653704]
area_under_roc_curve
0.7092592592592593 [0.709259,0.709259]
area_under_roc_curve
0.6081481481481481 [0.608148,0.608148]
area_under_roc_curve
0.7277777777777777 [0.727778,0.727778]
area_under_roc_curve
0.8403703703703703 [0.84037,0.84037]
area_under_roc_curve
0.7092592592592593 [0.709259,0.709259]
area_under_roc_curve
0.7122222222222221 [0.712222,0.712222]
area_under_roc_curve
0.72 [0.72,0.72]
area_under_roc_curve
0.6607692307692308 [0.660769,0.660769]
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
0.8304118821585662 [0.871287,0.754717]
f_measure
0.7059025198560083 [0.810811,0.511628]
f_measure
0.7545642763034068 [0.833333,0.608696]
f_measure
0.6633366633366634 [0.8,0.410256]
f_measure
0.7700015236304757 [0.841121,0.638298]
f_measure
0.8674325674325674 [0.903846,0.8]
f_measure
0.7545642763034068 [0.833333,0.608696]
f_measure
0.7686033264980632 [0.859649,0.6]
f_measure
0.773980405559353 [0.854545,0.619048]
f_measure
0.7112313494015413 [0.803738,0.533333]
kappa
0.6260739633918567
kappa
0.33919084593379656
kappa
0.44912559618441983
kappa
0.24798301486199587
kappa
0.48444269397400563
kappa
0.7047546012269937
kappa
0.44912559618441983
kappa
0.48191757779646777
kappa
0.4847457627118644
kappa
0.34375000000000006
kb_relative_information_score
0.6139280939002139
kb_relative_information_score
0.37634538245419263
kb_relative_information_score
0.4654388992464511
kb_relative_information_score
0.316949704592687
kb_relative_information_score
0.4951367381772037
kb_relative_information_score
0.7030216106924724
kb_relative_information_score
0.4654388992464511
kb_relative_information_score
0.5248345771079564
kb_relative_information_score
0.5146012757048981
kb_relative_information_score
0.3629141743626787
mean_absolute_error
0.16883116883116883
mean_absolute_error
0.2727272727272727
mean_absolute_error
0.23376623376623376
mean_absolute_error
0.2987012987012987
mean_absolute_error
0.22077922077922077
mean_absolute_error
0.12987012987012986
mean_absolute_error
0.23376623376623376
mean_absolute_error
0.2077922077922078
mean_absolute_error
0.21052631578947367
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
0.8299543593661242 [0.862745,0.769231]
precision
0.7201005961251863 [0.737705,0.6875]
precision
0.7621797440309238 [0.775862,0.736842]
precision
0.6933066933066934 [0.707692,0.666667]
precision
0.7756322624743677 [0.789474,0.75]
precision
0.8700880440010875 [0.87037,0.869565]
precision
0.7621797440309238 [0.775862,0.736842]
precision
0.8208354145854145 [0.765625,0.923077]
precision
0.7933114035087719 [0.783333,0.8125]
precision
0.7123730378578024 [0.754386,0.631579]
predictive_accuracy
0.8311688311688311
predictive_accuracy
0.7272727272727273
predictive_accuracy
0.7662337662337663
predictive_accuracy
0.7012987012987013
predictive_accuracy
0.7792207792207791
predictive_accuracy
0.8701298701298701
predictive_accuracy
0.7662337662337663
predictive_accuracy
0.7922077922077922
predictive_accuracy
0.7894736842105263
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 [0.88,0.740741]
recall
0.7272727272727273 [0.9,0.407407]
recall
0.7662337662337663 [0.9,0.518519]
recall
0.7012987012987013 [0.92,0.296296]
recall
0.7792207792207793 [0.9,0.555556]
recall
0.8701298701298701 [0.94,0.740741]
recall
0.7662337662337663 [0.9,0.518519]
recall
0.7922077922077922 [0.98,0.444444]
recall
0.7894736842105263 [0.94,0.5]
recall
0.7236842105263158 [0.86,0.461538]
relative_absolute_error
0.3710568261852685
relative_absolute_error
0.599399488453126
relative_absolute_error
0.5137709901026793
relative_absolute_error
0.6564851540200902
relative_absolute_error
0.4852281573191972
relative_absolute_error
0.2854283278348218
relative_absolute_error
0.5137709901026793
relative_absolute_error
0.45668532453571503
relative_absolute_error
0.46532708868409045
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
0.5222329678670935
root_mean_squared_error
0.48349377841522817
root_mean_squared_error
0.5465357250000211
root_mean_squared_error
0.4698714938993648
root_mean_squared_error
0.3603749850782236
root_mean_squared_error
0.48349377841522817
root_mean_squared_error
0.4558423058385518
root_mean_squared_error
0.45883146774112354
root_mean_squared_error
0.5256574830378469
root_relative_squared_error
0.8610900005613504
root_relative_squared_error
1.0944262905356
root_relative_squared_error
1.0132418574973725
root_relative_squared_error
1.1453567717103283
root_relative_squared_error
0.9846940881518128
root_relative_squared_error
0.7552258903374266
root_relative_squared_error
1.0132418574973725
root_relative_squared_error
0.9552935845579276
root_relative_squared_error
0.9670400690786819
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
19.43280499995126
usercpu_time_millis
18.588953000062247
usercpu_time_millis
12.723844999982248
usercpu_time_millis
12.07883999995829
usercpu_time_millis
11.941269999852011
usercpu_time_millis
11.963763000039762
usercpu_time_millis
12.26942199991754
usercpu_time_millis
19.379209999897284
usercpu_time_millis
19.197006999775112
usercpu_time_millis
19.010539999953835
usercpu_time_millis_testing
1.5498820000630076
usercpu_time_millis_testing
1.5368340000350145
usercpu_time_millis_testing
0.8787760000359413
usercpu_time_millis_testing
0.8756110000831541
usercpu_time_millis_testing
0.9414799999376555
usercpu_time_millis_testing
0.8902090000901808
usercpu_time_millis_testing
1.2906540000585665
usercpu_time_millis_testing
1.4762399998744513
usercpu_time_millis_testing
1.5724019999652228
usercpu_time_millis_testing
1.4803089998167707
usercpu_time_millis_training
17.88292299988825
usercpu_time_millis_training
17.052119000027233
usercpu_time_millis_training
11.845068999946307
usercpu_time_millis_training
11.203228999875137
usercpu_time_millis_training
10.999789999914356
usercpu_time_millis_training
11.073553999949581
usercpu_time_millis_training
10.978767999858974
usercpu_time_millis_training
17.902970000022833
usercpu_time_millis_training
17.62460499980989
usercpu_time_millis_training
17.530231000137064
wall_clock_time_millis
19.4394588470459
wall_clock_time_millis
18.595218658447266
wall_clock_time_millis
12.726545333862305
wall_clock_time_millis
12.081623077392578
wall_clock_time_millis
11.945724487304688
wall_clock_time_millis
11.967658996582031
wall_clock_time_millis
12.27426528930664
wall_clock_time_millis
19.385099411010742
wall_clock_time_millis
19.20294761657715
wall_clock_time_millis
19.017696380615234
wall_clock_time_millis_testing
1.5530586242675781
wall_clock_time_millis_testing
1.5397071838378906
wall_clock_time_millis_testing
0.8809566497802734
wall_clock_time_millis_testing
0.87738037109375
wall_clock_time_millis_testing
0.9436607360839844
wall_clock_time_millis_testing
0.89263916015625
wall_clock_time_millis_testing
1.2941360473632812
wall_clock_time_millis_testing
1.4793872833251953
wall_clock_time_millis_testing
1.5747547149658203
wall_clock_time_millis_testing
1.483917236328125
wall_clock_time_millis_training
17.88640022277832
wall_clock_time_millis_training
17.055511474609375
wall_clock_time_millis_training
11.845588684082031
wall_clock_time_millis_training
11.204242706298828
wall_clock_time_millis_training
11.002063751220703
wall_clock_time_millis_training
11.075019836425781
wall_clock_time_millis_training
10.98012924194336
wall_clock_time_millis_training
17.905712127685547
wall_clock_time_millis_training
17.628192901611328
wall_clock_time_millis_training
17.53377914428711