10559313
8323
Heinrich Peters
37
Supervised Classification
17494
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(4)
8270502
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
2.6420113048794582
17495
cache_size
200
17495
class_weight
null
17495
coef0
-0.5273436479076765
17495
decision_function_shape
"ovr"
17495
degree
5
17495
gamma
0.0019341495605253744
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.
37
diabetes
https://www.openml.org/data/download/37/dataset_37_diabetes.arff
-1
22043591
description
https://api.openml.org/data/download/22043591/description.xml
-1
22043592
predictions
https://api.openml.org/data/download/22043592/predictions.arff
area_under_roc_curve
0.8311417910447761 [0.831142,0.831142]
average_cost
0
f_measure
0.7647216480710824 [0.834437,0.634656]
kappa
0.4724777844066944
kb_relative_information_score
0.3261062039557458
mean_absolute_error
0.31335799735436126
mean_prior_absolute_error
0.4544913419913401
weighted_recall
0.7721354166666666 [0.882,0.567164]
number_of_instances
768 [500,268]
precision
0.7668389940893015 [0.791741,0.720379]
predictive_accuracy
0.7721354166666667
prior_entropy
0.9331348051619819
relative_absolute_error
0.6894696739026813
root_mean_prior_squared_error
0.4766409223329586
root_mean_squared_error
0.3961591541385383
root_relative_squared_error
0.8311480101194507
total_cost
0
unweighted_recall
0.7245820895522388 [0.882,0.567164]
area_under_roc_curve
0.9207407407407407 [0.920741,0.920741]
area_under_roc_curve
0.7355555555555555 [0.735556,0.735556]
area_under_roc_curve
0.8688888888888889 [0.868889,0.868889]
area_under_roc_curve
0.8303703703703704 [0.83037,0.83037]
area_under_roc_curve
0.8088888888888889 [0.808889,0.808889]
area_under_roc_curve
0.894074074074074 [0.894074,0.894074]
area_under_roc_curve
0.8044444444444444 [0.804444,0.804444]
area_under_roc_curve
0.8555555555555556 [0.855556,0.855556]
area_under_roc_curve
0.8438461538461538 [0.843846,0.843846]
area_under_roc_curve
0.7776923076923077 [0.777692,0.777692]
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
0.8318509773055228 [0.868687,0.763636]
f_measure
0.6776525361431022 [0.773585,0.5]
f_measure
0.7851016907620681 [0.849057,0.666667]
f_measure
0.6997233286894414 [0.814159,0.487805]
f_measure
0.7662575956153937 [0.844037,0.622222]
f_measure
0.8304118821585662 [0.871287,0.754717]
f_measure
0.7613786213786213 [0.826923,0.64]
f_measure
0.7937567020135827 [0.862385,0.666667]
f_measure
0.7847503373819164 [0.846154,0.666667]
f_measure
0.699840248693925 [0.792453,0.521739]
kappa
0.6323907455012855
kappa
0.2786885245901639
kappa
0.5191256830601093
kappa
0.326530612244898
kappa
0.47492980344965907
kappa
0.6260739633918567
kappa
0.468558282208589
kappa
0.5367027677496993
kappa
0.5143769968051118
kappa
0.3192182410423453
kb_relative_information_score
0.4410887897662194
kb_relative_information_score
0.2211936743056283
kb_relative_information_score
0.3374472018223058
kb_relative_information_score
0.2919174691154625
kb_relative_information_score
0.31402273453288515
kb_relative_information_score
0.37232402297924927
kb_relative_information_score
0.3303437422686048
kb_relative_information_score
0.3520027369932521
kb_relative_information_score
0.32940848560615144
kb_relative_information_score
0.2702042625411815
mean_absolute_error
0.26976617474259257
mean_absolute_error
0.35108298190034337
mean_absolute_error
0.3129099427881291
mean_absolute_error
0.3240391958868153
mean_absolute_error
0.3219864226996991
mean_absolute_error
0.2988934037408397
mean_absolute_error
0.3113898687647051
mean_absolute_error
0.30517504086626723
mean_absolute_error
0.30818896019964037
mean_absolute_error
0.3303008891578087
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
0.8328253379273788 [0.877551,0.75]
precision
0.6757884972170686 [0.732143,0.571429]
precision
0.788961038961039 [0.803571,0.761905]
precision
0.7245928674500103 [0.730159,0.714286]
precision
0.7790006603565925 [0.779661,0.777778]
precision
0.8299543593661242 [0.862745,0.769231]
precision
0.7610055001359349 [0.796296,0.695652]
precision
0.8094871230464451 [0.79661,0.833333]
precision
0.7848662059188376 [0.814815,0.727273]
precision
0.6986842105263158 [0.75,0.6]
predictive_accuracy
0.8311688311688311
predictive_accuracy
0.6883116883116882
predictive_accuracy
0.7922077922077922
predictive_accuracy
0.7272727272727273
predictive_accuracy
0.7792207792207791
predictive_accuracy
0.8311688311688311
predictive_accuracy
0.7662337662337663
predictive_accuracy
0.8051948051948052
predictive_accuracy
0.7894736842105263
predictive_accuracy
0.7105263157894737
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
relative_absolute_error
0.5928915928564441
relative_absolute_error
0.771609519104101
relative_absolute_error
0.6877128853433722
relative_absolute_error
0.7121727369288378
relative_absolute_error
0.7076611558685226
relative_absolute_error
0.6569073621156676
relative_absolute_error
0.6843720695058509
relative_absolute_error
0.6707131324076421
relative_absolute_error
0.6811911901678094
relative_absolute_error
0.7300652679224556
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
0.3411869594070273
root_mean_squared_error
0.4572710838663654
root_mean_squared_error
0.38552715945398436
root_mean_squared_error
0.40662518955355215
root_mean_squared_error
0.3969070240594082
root_mean_squared_error
0.3590930057242569
root_mean_squared_error
0.40752614028525364
root_mean_squared_error
0.3814692929719974
root_mean_squared_error
0.3922258095295783
root_mean_squared_error
0.4222040184512717
root_relative_squared_error
0.7150141820575051
root_relative_squared_error
0.9582878272296708
root_relative_squared_error
0.8079364670239104
root_relative_squared_error
0.8521509081645832
root_relative_squared_error
0.8317848714204727
root_relative_squared_error
0.7525392887721613
root_relative_squared_error
0.8540390006978419
root_relative_squared_error
0.7994325309750091
root_relative_squared_error
0.8266609868962352
root_relative_squared_error
0.8898435087254617
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
0.8188888888888889 [0.86,0.777778]
unweighted_recall
0.6322222222222222 [0.82,0.444444]
unweighted_recall
0.7462962962962962 [0.9,0.592593]
unweighted_recall
0.6451851851851852 [0.92,0.37037]
unweighted_recall
0.7192592592592593 [0.92,0.518519]
unweighted_recall
0.8103703703703704 [0.88,0.740741]
unweighted_recall
0.7262962962962962 [0.86,0.592593]
unweighted_recall
0.7477777777777778 [0.94,0.555556]
unweighted_recall
0.7476923076923077 [0.88,0.615385]
unweighted_recall
0.6507692307692308 [0.84,0.461538]
usercpu_time_millis
71.01199999942764
usercpu_time_millis
68.7740000003032
usercpu_time_millis
75.98200000029465
usercpu_time_millis
71.52200000018638
usercpu_time_millis
71.00600000012491
usercpu_time_millis
70.98399999904359
usercpu_time_millis
70.89800000085233
usercpu_time_millis
73.11600000048202
usercpu_time_millis
73.5979999999472
usercpu_time_millis
69.59200000073906
usercpu_time_millis_testing
1.8019999997704872
usercpu_time_millis_testing
1.7740000002959277
usercpu_time_millis_testing
1.863999999841326
usercpu_time_millis_testing
2.058000000033644
usercpu_time_millis_testing
1.8079999999827123
usercpu_time_millis_testing
1.9939999992857338
usercpu_time_millis_testing
1.9340000008014613
usercpu_time_millis_testing
1.7880000004879548
usercpu_time_millis_testing
1.706000000012864
usercpu_time_millis_testing
1.6940000004979083
usercpu_time_millis_training
69.20999999965716
usercpu_time_millis_training
67.00000000000728
usercpu_time_millis_training
74.11800000045332
usercpu_time_millis_training
69.46400000015274
usercpu_time_millis_training
69.1980000001422
usercpu_time_millis_training
68.98999999975786
usercpu_time_millis_training
68.96400000005087
usercpu_time_millis_training
71.32799999999406
usercpu_time_millis_training
71.89199999993434
usercpu_time_millis_training
67.89800000024115
wall_clock_time_millis
36.36288642883301
wall_clock_time_millis
35.18795967102051
wall_clock_time_millis
48.32029342651367
wall_clock_time_millis
35.86697578430176
wall_clock_time_millis
36.04388236999512
wall_clock_time_millis
36.23199462890625
wall_clock_time_millis
36.80300712585449
wall_clock_time_millis
48.87509346008301
wall_clock_time_millis
37.26363182067871
wall_clock_time_millis
35.005807876586914
wall_clock_time_millis_testing
0.9047985076904297
wall_clock_time_millis_testing
0.8919239044189453
wall_clock_time_millis_testing
0.9362697601318359
wall_clock_time_millis_testing
1.0418891906738281
wall_clock_time_millis_testing
0.9069442749023438
wall_clock_time_millis_testing
1.146078109741211
wall_clock_time_millis_testing
1.1200904846191406
wall_clock_time_millis_testing
0.8969306945800781
wall_clock_time_millis_testing
0.8549690246582031
wall_clock_time_millis_testing
0.8487701416015625
wall_clock_time_millis_training
35.45808792114258
wall_clock_time_millis_training
34.29603576660156
wall_clock_time_millis_training
47.384023666381836
wall_clock_time_millis_training
34.82508659362793
wall_clock_time_millis_training
35.13693809509277
wall_clock_time_millis_training
35.08591651916504
wall_clock_time_millis_training
35.68291664123535
wall_clock_time_millis_training
47.97816276550293
wall_clock_time_millis_training
36.40866279602051
wall_clock_time_millis_training
34.15703773498535
weighted_recall
0.8311688311688312 [0.86,0.777778]
weighted_recall
0.6883116883116883 [0.82,0.444444]
weighted_recall
0.7922077922077922 [0.9,0.592593]
weighted_recall
0.7272727272727273 [0.92,0.37037]
weighted_recall
0.7792207792207793 [0.92,0.518519]
weighted_recall
0.8311688311688312 [0.88,0.740741]
weighted_recall
0.7662337662337663 [0.86,0.592593]
weighted_recall
0.8051948051948052 [0.94,0.555556]
weighted_recall
0.7894736842105263 [0.88,0.615385]
weighted_recall
0.7105263157894737 [0.84,0.461538]