10559300
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)
8270332
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
2919.7665961619327
17495
cache_size
200
17495
class_weight
null
17495
coef0
0.0
17495
decision_function_shape
"ovr"
17495
degree
3
17495
gamma
6.688334308406325
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
22043565
description
https://api.openml.org/data/download/22043565/description.xml
-1
22043566
predictions
https://api.openml.org/data/download/22043566/predictions.arff
area_under_roc_curve
0.6615410447761194 [0.661541,0.661541]
average_cost
0
f_measure
0.5193554075512895 [0.78247,0.02847]
kappa
-0.003945604290365795
kb_relative_information_score
0.014871415713587091
mean_absolute_error
0.4457232026506717
mean_prior_absolute_error
0.4544913419913401
weighted_recall
0.64453125 [0.982,0.014925]
number_of_instances
768 [500,268]
precision
0.530764454915945 [0.650331,0.307692]
predictive_accuracy
0.64453125
prior_entropy
0.9331348051619819
relative_absolute_error
0.9807077967596675
root_mean_prior_squared_error
0.4766409223329586
root_mean_squared_error
0.4716307735378698
root_relative_squared_error
0.9894886306224691
total_cost
0
unweighted_recall
0.4984626865671642 [0.982,0.014925]
area_under_roc_curve
0.7933333333333333 [0.793333,0.793333]
area_under_roc_curve
0.6355555555555557 [0.635556,0.635556]
area_under_roc_curve
0.7162962962962963 [0.716296,0.716296]
area_under_roc_curve
0.6074074074074074 [0.607407,0.607407]
area_under_roc_curve
0.6622222222222223 [0.662222,0.662222]
area_under_roc_curve
0.6688888888888889 [0.668889,0.668889]
area_under_roc_curve
0.7807407407407407 [0.780741,0.780741]
area_under_roc_curve
0.7251851851851852 [0.725185,0.725185]
area_under_roc_curve
0.7176923076923076 [0.717692,0.717692]
area_under_roc_curve
0.7557692307692307 [0.755769,0.755769]
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
0.5404040404040404 [0.793651,0.071429]
f_measure
0.5332736229287953 [0.784,0.068966]
f_measure
0.5404040404040404 [0.793651,0.071429]
f_measure
0.4987012987012987 [0.768,0]
f_measure
0.505050505050505 [0.777778,0]
f_measure
0.505050505050505 [0.777778,0]
f_measure
0.4987012987012987 [0.768,0]
f_measure
0.5157894736842106 [0.784,0]
f_measure
0.5443851564394858 [0.790323,0.071429]
kappa
0
kappa
0.04757373929590858
kappa
0.021647058823529533
kappa
0.04757373929590858
kappa
-0.0508235294117646
kappa
-0.025689819219790785
kappa
-0.025689819219790785
kappa
-0.0508235294117646
kappa
-0.02599999999999991
kappa
0.023715415019762938
kb_relative_information_score
0.016068256142877203
kb_relative_information_score
0.022526827342965627
kb_relative_information_score
0.010292721780856556
kb_relative_information_score
0.02775227997178958
kb_relative_information_score
0.01768102482334043
kb_relative_information_score
0.0036588910684721442
kb_relative_information_score
0.019311956921397432
kb_relative_information_score
0.02122444389720697
kb_relative_information_score
-0.002374634267966939
kb_relative_information_score
0.012151460981445837
mean_absolute_error
0.4479302406923375
mean_absolute_error
0.44431670101219584
mean_absolute_error
0.44714273702554463
mean_absolute_error
0.4399058640170059
mean_absolute_error
0.4419263092345353
mean_absolute_error
0.4505166417091607
mean_absolute_error
0.44515839759520676
mean_absolute_error
0.4435423338491846
mean_absolute_error
0.4511085656194389
mean_absolute_error
0.4457545830688142
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
0.7778537252221464 [0.657895,1]
precision
0.5995670995670995 [0.653333,0.5]
precision
0.7778537252221464 [0.657895,1]
precision
0.4155844155844156 [0.64,0]
precision
0.41866028708133973 [0.644737,0]
precision
0.41866028708133973 [0.644737,0]
precision
0.4155844155844156 [0.64,0]
precision
0.4298245614035087 [0.653333,0]
precision
0.6066856330014224 [0.662162,0.5]
predictive_accuracy
0.6493506493506493
predictive_accuracy
0.6623376623376623
predictive_accuracy
0.6493506493506493
predictive_accuracy
0.6623376623376623
predictive_accuracy
0.6233766233766234
predictive_accuracy
0.6363636363636364
predictive_accuracy
0.6363636363636364
predictive_accuracy
0.6233766233766234
predictive_accuracy
0.6447368421052632
predictive_accuracy
0.6578947368421052
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
0.9844602428234666
relative_absolute_error
0.9765184120922659
relative_absolute_error
0.9827294687416877
relative_absolute_error
0.9668242828175204
relative_absolute_error
0.9712648135269142
relative_absolute_error
0.9901446301270009
relative_absolute_error
0.9783682912636606
relative_absolute_error
0.9748165093938584
relative_absolute_error
0.9970869187207101
relative_absolute_error
0.985252991433259
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
0.47129355543615664
root_mean_squared_error
0.4723140155986909
root_mean_squared_error
0.46900619417916434
root_mean_squared_error
0.4700068982899502
root_mean_squared_error
0.47582142567568547
root_mean_squared_error
0.47831085397333223
root_mean_squared_error
0.4688286451460727
root_mean_squared_error
0.4701751161847519
root_mean_squared_error
0.47245931607403713
root_mean_squared_error
0.4679526223021896
root_relative_squared_error
0.9876742552963362
root_relative_squared_error
0.9898127997756001
root_relative_squared_error
0.9828807082596006
root_relative_squared_error
0.9849778506371953
root_relative_squared_error
0.9971631626139135
root_relative_squared_error
1.0023801748383145
root_relative_squared_error
0.9825086246462886
root_relative_squared_error
0.9853303792938243
root_relative_squared_error
0.9957623262031433
root_relative_squared_error
0.9862639509546025
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
0.5 [1,0]
unweighted_recall
0.5185185185185185 [1,0.037037]
unweighted_recall
0.5085185185185185 [0.98,0.037037]
unweighted_recall
0.5185185185185185 [1,0.037037]
unweighted_recall
0.48 [0.96,0]
unweighted_recall
0.49 [0.98,0]
unweighted_recall
0.49 [0.98,0]
unweighted_recall
0.48 [0.96,0]
unweighted_recall
0.49 [0.98,0]
unweighted_recall
0.5092307692307693 [0.98,0.038462]
usercpu_time_millis
158.60200000042823
usercpu_time_millis
166.3300000000163
usercpu_time_millis
158.56199999961973
usercpu_time_millis
167.15800000019954
usercpu_time_millis
160.10799999912706
usercpu_time_millis
156.59799999957613
usercpu_time_millis
157.31200000027457
usercpu_time_millis
158.59200000068086
usercpu_time_millis
150.83400000094116
usercpu_time_millis
151.76200000041717
usercpu_time_millis_testing
2.314000000296801
usercpu_time_millis_testing
2.2859999999127467
usercpu_time_millis_testing
2.4479999992763624
usercpu_time_millis_testing
2.3019999998723506
usercpu_time_millis_testing
2.357999999730964
usercpu_time_millis_testing
2.4080000002868474
usercpu_time_millis_testing
2.335999999559135
usercpu_time_millis_testing
2.3760000003676396
usercpu_time_millis_testing
2.5620000005801558
usercpu_time_millis_testing
4.466000000320491
usercpu_time_millis_training
156.28800000013143
usercpu_time_millis_training
164.04400000010355
usercpu_time_millis_training
156.11400000034337
usercpu_time_millis_training
164.85600000032719
usercpu_time_millis_training
157.7499999993961
usercpu_time_millis_training
154.18999999928928
usercpu_time_millis_training
154.97600000071543
usercpu_time_millis_training
156.21600000031322
usercpu_time_millis_training
148.272000000361
usercpu_time_millis_training
147.29600000009668
wall_clock_time_millis
81.04395866394043
wall_clock_time_millis
85.74080467224121
wall_clock_time_millis
81.34889602661133
wall_clock_time_millis
87.11004257202148
wall_clock_time_millis
82.44657516479492
wall_clock_time_millis
80.66701889038086
wall_clock_time_millis
80.38997650146484
wall_clock_time_millis
80.66344261169434
wall_clock_time_millis
77.3162841796875
wall_clock_time_millis
77.46696472167969
wall_clock_time_millis_testing
1.1589527130126953
wall_clock_time_millis_testing
1.1448860168457031
wall_clock_time_millis_testing
1.3251304626464844
wall_clock_time_millis_testing
1.1527538299560547
wall_clock_time_millis_testing
1.1818408966064453
wall_clock_time_millis_testing
1.207113265991211
wall_clock_time_millis_testing
1.1708736419677734
wall_clock_time_millis_testing
1.1928081512451172
wall_clock_time_millis_testing
1.4941692352294922
wall_clock_time_millis_testing
2.393960952758789
wall_clock_time_millis_training
79.88500595092773
wall_clock_time_millis_training
84.59591865539551
wall_clock_time_millis_training
80.02376556396484
wall_clock_time_millis_training
85.95728874206543
wall_clock_time_millis_training
81.26473426818848
wall_clock_time_millis_training
79.45990562438965
wall_clock_time_millis_training
79.21910285949707
wall_clock_time_millis_training
79.47063446044922
wall_clock_time_millis_training
75.82211494445801
wall_clock_time_millis_training
75.0730037689209
weighted_recall
0.6493506493506493 [1,0]
weighted_recall
0.6623376623376623 [1,0.037037]
weighted_recall
0.6493506493506493 [0.98,0.037037]
weighted_recall
0.6623376623376623 [1,0.037037]
weighted_recall
0.6233766233766234 [0.96,0]
weighted_recall
0.6363636363636364 [0.98,0]
weighted_recall
0.6363636363636364 [0.98,0]
weighted_recall
0.6233766233766234 [0.96,0]
weighted_recall
0.6447368421052632 [0.98,0]
weighted_recall
0.6578947368421053 [0.98,0.038462]