10386613
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)
8231631
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"median"
12737
verbose
0
12737
copy
true
13294
with_mean
true
13294
with_std
true
13294
C
131.79955149814975
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.005449601498518041
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
1
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
21694935
description
https://api.openml.org/data/download/21694935/description.xml
-1
21694936
predictions
https://api.openml.org/data/download/21694936/predictions.arff
area_under_roc_curve
0.7110597014925374 [0.71106,0.71106]
average_cost
0
f_measure
0.7560982402596311 [0.833488,0.611714]
kappa
0.4514285714285715
kb_relative_information_score
0.46615776312751583
mean_absolute_error
0.23307291666666666
mean_prior_absolute_error
0.4544913419913401
number_of_instances
768 [500,268]
precision
0.7621848483141848 [0.77913,0.73057]
predictive_accuracy
0.7669270833333333
prior_entropy
0.9331348051619819
recall
0.7669270833333334 [0.896,0.526119]
relative_absolute_error
0.5128214668412927
root_mean_prior_squared_error
0.4766409223329586
root_mean_squared_error
0.4827762594273528
root_relative_squared_error
1.0128720317684103
total_cost
0
area_under_roc_curve
0.7833333333333333 [0.783333,0.783333]
area_under_roc_curve
0.6437037037037037 [0.643704,0.643704]
area_under_roc_curve
0.7092592592592593 [0.709259,0.709259]
area_under_roc_curve
0.5981481481481481 [0.598148,0.598148]
area_under_roc_curve
0.7362962962962963 [0.736296,0.736296]
area_under_roc_curve
0.7833333333333333 [0.783333,0.783333]
area_under_roc_curve
0.7462962962962963 [0.746296,0.746296]
area_under_roc_curve
0.7122222222222221 [0.712222,0.712222]
area_under_roc_curve
0.69 [0.69,0.69]
area_under_roc_curve
0.7084615384615386 [0.708462,0.708462]
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
0.8144055944055943 [0.865385,0.72]
f_measure
0.6948051948051948 [0.8,0.5]
f_measure
0.7545642763034068 [0.833333,0.608696]
f_measure
0.652904989747095 [0.789474,0.4]
f_measure
0.7732131813764467 [0.838095,0.653061]
f_measure
0.8144055944055943 [0.865385,0.72]
f_measure
0.7851016907620681 [0.849057,0.666667]
f_measure
0.7686033264980632 [0.859649,0.6]
f_measure
0.7387331256490135 [0.82243,0.577778]
f_measure
0.7459877154745392 [0.815534,0.612245]
kappa
0.5866564417177915
kappa
0.31417004048582997
kappa
0.44912559618441983
kappa
0.22287636669470148
kappa
0.4936170212765959
kappa
0.5866564417177915
kappa
0.5191256830601093
kappa
0.48191757779646777
kappa
0.40624999999999994
kappa
0.42879746835443044
kb_relative_information_score
0.5842302549694615
kb_relative_information_score
0.34664754352343985
kb_relative_information_score
0.4654388992464511
kb_relative_information_score
0.2872518656619342
kb_relative_information_score
0.49513673817720366
kb_relative_information_score
0.5842302549694616
kb_relative_information_score
0.5248345771079562
kb_relative_information_score
0.5248345771079564
kb_relative_information_score
0.42358901489956663
kb_relative_information_score
0.42358901489956674
mean_absolute_error
0.18181818181818182
mean_absolute_error
0.2857142857142857
mean_absolute_error
0.23376623376623376
mean_absolute_error
0.3116883116883117
mean_absolute_error
0.22077922077922077
mean_absolute_error
0.18181818181818182
mean_absolute_error
0.2077922077922078
mean_absolute_error
0.2077922077922078
mean_absolute_error
0.25
mean_absolute_error
0.25
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
0.8155467720685112 [0.833333,0.782609]
precision
0.7030812324929973 [0.733333,0.647059]
precision
0.7621797440309238 [0.775862,0.736842]
precision
0.6723588911088911 [0.703125,0.615385]
precision
0.7744982290436836 [0.8,0.727273]
precision
0.8155467720685112 [0.833333,0.782609]
precision
0.788961038961039 [0.803571,0.761905]
precision
0.8208354145854145 [0.765625,0.923077]
precision
0.7419205909510618 [0.77193,0.684211]
precision
0.7444626743232158 [0.792453,0.652174]
predictive_accuracy
0.8181818181818181
predictive_accuracy
0.7142857142857143
predictive_accuracy
0.7662337662337663
predictive_accuracy
0.6883116883116882
predictive_accuracy
0.7792207792207791
predictive_accuracy
0.8181818181818181
predictive_accuracy
0.7922077922077922
predictive_accuracy
0.7922077922077922
predictive_accuracy
0.75
predictive_accuracy
0.75
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
0.8181818181818182 [0.9,0.666667]
recall
0.7142857142857143 [0.88,0.407407]
recall
0.7662337662337663 [0.9,0.518519]
recall
0.6883116883116883 [0.9,0.296296]
recall
0.7792207792207793 [0.88,0.592593]
recall
0.8181818181818182 [0.9,0.666667]
recall
0.7922077922077922 [0.9,0.592593]
recall
0.7922077922077922 [0.98,0.444444]
recall
0.75 [0.88,0.5]
recall
0.75 [0.84,0.576923]
relative_absolute_error
0.3995996589687507
relative_absolute_error
0.6279423212366081
relative_absolute_error
0.5137709901026793
relative_absolute_error
0.6850279868035726
relative_absolute_error
0.4852281573191972
relative_absolute_error
0.3995996589687507
relative_absolute_error
0.45668532453571503
relative_absolute_error
0.45668532453571503
relative_absolute_error
0.5525759178123575
relative_absolute_error
0.5525759178123575
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
0.4264014327112209
root_mean_squared_error
0.5345224838248488
root_mean_squared_error
0.48349377841522817
root_mean_squared_error
0.5582905262390825
root_mean_squared_error
0.4698714938993648
root_mean_squared_error
0.4264014327112209
root_mean_squared_error
0.4558423058385518
root_mean_squared_error
0.4558423058385518
root_mean_squared_error
0.5
root_mean_squared_error
0.5
root_relative_squared_error
0.8935953242997315
root_relative_squared_error
1.1201810210671799
root_relative_squared_error
1.0132418574973725
root_relative_squared_error
1.169990918360609
root_relative_squared_error
0.9846940881518128
root_relative_squared_error
0.8935953242997315
root_relative_squared_error
0.9552935845579276
root_relative_squared_error
0.9552935845579276
root_relative_squared_error
1.0538074838671416
root_relative_squared_error
1.0538074838671416
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
41.006767001817934
usercpu_time_millis
40.23594899990712
usercpu_time_millis
39.782697003829526
usercpu_time_millis
41.9557050045114
usercpu_time_millis
41.09550999783096
usercpu_time_millis
41.65082800318487
usercpu_time_millis
39.11549799886416
usercpu_time_millis
41.53152100116131
usercpu_time_millis
44.168708998768125
usercpu_time_millis
41.38658000010764
usercpu_time_millis_testing
2.557864001573762
usercpu_time_millis_testing
2.486945002601715
usercpu_time_millis_testing
2.5386680026713293
usercpu_time_millis_testing
2.5130060021183454
usercpu_time_millis_testing
2.5345419999212027
usercpu_time_millis_testing
2.532687001803424
usercpu_time_millis_testing
2.535523999540601
usercpu_time_millis_testing
2.5525540004309732
usercpu_time_millis_testing
2.5165169972751755
usercpu_time_millis_testing
2.5151299996650778
usercpu_time_millis_training
38.44890300024417
usercpu_time_millis_training
37.74900399730541
usercpu_time_millis_training
37.2440290011582
usercpu_time_millis_training
39.442699002393056
usercpu_time_millis_training
38.560967997909756
usercpu_time_millis_training
39.118141001381446
usercpu_time_millis_training
36.579973999323556
usercpu_time_millis_training
38.978967000730336
usercpu_time_millis_training
41.65219200149295
usercpu_time_millis_training
38.871450000442564
wall_clock_time_millis
41.013240814208984
wall_clock_time_millis
40.242671966552734
wall_clock_time_millis
39.79063034057617
wall_clock_time_millis
41.963815689086914
wall_clock_time_millis
41.106224060058594
wall_clock_time_millis
41.66054725646973
wall_clock_time_millis
39.12496566772461
wall_clock_time_millis
41.541099548339844
wall_clock_time_millis
44.18134689331055
wall_clock_time_millis
41.39828681945801
wall_clock_time_millis_testing
2.5615692138671875
wall_clock_time_millis_testing
2.490520477294922
wall_clock_time_millis_testing
2.5429725646972656
wall_clock_time_millis_testing
2.5167465209960938
wall_clock_time_millis_testing
2.538919448852539
wall_clock_time_millis_testing
2.536296844482422
wall_clock_time_millis_testing
2.539396286010742
wall_clock_time_millis_testing
2.557516098022461
wall_clock_time_millis_testing
2.522706985473633
wall_clock_time_millis_testing
2.521038055419922
wall_clock_time_millis_training
38.4516716003418
wall_clock_time_millis_training
37.75215148925781
wall_clock_time_millis_training
37.247657775878906
wall_clock_time_millis_training
39.44706916809082
wall_clock_time_millis_training
38.567304611206055
wall_clock_time_millis_training
39.124250411987305
wall_clock_time_millis_training
36.58556938171387
wall_clock_time_millis_training
38.98358345031738
wall_clock_time_millis_training
41.658639907836914
wall_clock_time_millis_training
38.877248764038086