10328870
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)
8184494
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
32.184662024224764
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.8359658612498964
13389
decision_function_shape
"ovr"
13389
degree
2
13389
gamma
0.11650886331310951
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
49192
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
21579428
description
https://api.openml.org/data/download/21579428/description.xml
-1
21579429
predictions
https://api.openml.org/data/download/21579429/predictions.arff
area_under_roc_curve
0.7037910447761194 [0.703791,0.703791]
average_cost
0
f_measure
0.7463442712182253 [0.822976,0.603376]
kappa
0.43069837865118926
kb_relative_information_score
0.4393165333406315
mean_absolute_error
0.24479166666666666
mean_prior_absolute_error
0.4544913419913401
number_of_instances
768 [500,268]
precision
0.7484750918471939 [0.77758,0.694175]
predictive_accuracy
0.7552083333333333
prior_entropy
0.9331348051619819
recall
0.7552083333333334 [0.874,0.533582]
relative_absolute_error
0.5386057864031454
root_mean_prior_squared_error
0.4766409223329586
root_mean_squared_error
0.4947642536265799
root_relative_squared_error
1.0380230283310865
total_cost
0
area_under_roc_curve
0.7933333333333333 [0.793333,0.793333]
area_under_roc_curve
0.5851851851851851 [0.585185,0.585185]
area_under_roc_curve
0.7177777777777776 [0.717778,0.717778]
area_under_roc_curve
0.6166666666666667 [0.616667,0.616667]
area_under_roc_curve
0.7077777777777777 [0.707778,0.707778]
area_under_roc_curve
0.8103703703703704 [0.81037,0.81037]
area_under_roc_curve
0.7277777777777777 [0.727778,0.727778]
area_under_roc_curve
0.7107407407407407 [0.710741,0.710741]
area_under_roc_curve
0.6599999999999999 [0.66,0.66]
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
0.8265747857584592 [0.87619,0.734694]
f_measure
0.6347083022366379 [0.747664,0.425532]
f_measure
0.7582394021073267 [0.830189,0.625]
f_measure
0.6711255504693882 [0.79646,0.439024]
f_measure
0.7465323791854402 [0.819048,0.612245]
f_measure
0.8304118821585662 [0.871287,0.754717]
f_measure
0.7700015236304757 [0.841121,0.638298]
f_measure
0.7619210875024829 [0.846847,0.604651]
f_measure
0.704031713900135 [0.788462,0.541667]
f_measure
0.7459877154745392 [0.815534,0.612245]
kappa
0.6127659574468087
kappa
0.18117369042930287
kappa
0.459016393442623
kappa
0.26239067055393583
kappa
0.4340425531914895
kappa
0.6260739633918567
kappa
0.48444269397400563
kappa
0.4650592562321211
kappa
0.3322683706070287
kappa
0.42879746835443044
kb_relative_information_score
0.6139280939002144
kb_relative_information_score
0.19815834886967557
kb_relative_information_score
0.4654388992464511
kb_relative_information_score
0.316949704592687
kb_relative_information_score
0.4357410603156983
kb_relative_information_score
0.6139280939002139
kb_relative_information_score
0.4951367381772037
kb_relative_information_score
0.4951367381772037
kb_relative_information_score
0.33257675409423476
kb_relative_information_score
0.42358901489956674
mean_absolute_error
0.16883116883116883
mean_absolute_error
0.35064935064935066
mean_absolute_error
0.23376623376623376
mean_absolute_error
0.2987012987012987
mean_absolute_error
0.24675324675324675
mean_absolute_error
0.16883116883116883
mean_absolute_error
0.22077922077922077
mean_absolute_error
0.22077922077922077
mean_absolute_error
0.2894736842105263
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
0.8299881936245572 [0.836364,0.818182]
precision
0.6310093415356572 [0.701754,0.5]
precision
0.7606679035250463 [0.785714,0.714286]
precision
0.6892393320964749 [0.714286,0.642857]
precision
0.7467532467532467 [0.781818,0.681818]
precision
0.8299543593661242 [0.862745,0.769231]
precision
0.7756322624743677 [0.789474,0.75]
precision
0.7852219501809666 [0.770492,0.8125]
precision
0.7016657806131491 [0.759259,0.590909]
precision
0.7444626743232158 [0.792453,0.652174]
predictive_accuracy
0.8311688311688311
predictive_accuracy
0.6493506493506493
predictive_accuracy
0.7662337662337663
predictive_accuracy
0.7012987012987013
predictive_accuracy
0.7532467532467533
predictive_accuracy
0.8311688311688311
predictive_accuracy
0.7792207792207791
predictive_accuracy
0.7792207792207791
predictive_accuracy
0.7105263157894737
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
0.8311688311688312 [0.92,0.666667]
recall
0.6493506493506493 [0.8,0.37037]
recall
0.7662337662337663 [0.88,0.555556]
recall
0.7012987012987013 [0.9,0.333333]
recall
0.7532467532467533 [0.86,0.555556]
recall
0.8311688311688312 [0.88,0.740741]
recall
0.7792207792207793 [0.9,0.555556]
recall
0.7792207792207793 [0.94,0.481481]
recall
0.7105263157894737 [0.82,0.5]
recall
0.75 [0.84,0.576923]
relative_absolute_error
0.3710568261852685
relative_absolute_error
0.7706564851540191
relative_absolute_error
0.5137709901026793
relative_absolute_error
0.6564851540200902
relative_absolute_error
0.5423138228861615
relative_absolute_error
0.3710568261852685
relative_absolute_error
0.4852281573191972
relative_absolute_error
0.4852281573191972
relative_absolute_error
0.6398247469406244
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
0.4108907018066591
root_mean_squared_error
0.592156525463792
root_mean_squared_error
0.48349377841522817
root_mean_squared_error
0.5465357250000211
root_mean_squared_error
0.496742636335202
root_mean_squared_error
0.4108907018066591
root_mean_squared_error
0.4698714938993648
root_mean_squared_error
0.4698714938993648
root_mean_squared_error
0.5380275868489703
root_mean_squared_error
0.5
root_relative_squared_error
0.8610900005613504
root_relative_squared_error
1.2409627684491944
root_relative_squared_error
1.0132418574973725
root_relative_squared_error
1.1453567717103283
root_relative_squared_error
1.0410070491251833
root_relative_squared_error
0.8610900005613504
root_relative_squared_error
0.9846940881518128
root_relative_squared_error
0.9846940881518128
root_relative_squared_error
1.133954995096847
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
87.68068499921355
usercpu_time_millis
100.59194000496063
usercpu_time_millis
144.7952749877004
usercpu_time_millis
134.80903301388025
usercpu_time_millis
231.68079101014882
usercpu_time_millis
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usercpu_time_millis
130.42856499669142
usercpu_time_millis
95.32611598842777
usercpu_time_millis
124.95385999500286
usercpu_time_millis
129.53654098964762
usercpu_time_millis_testing
1.4870629966026172
usercpu_time_millis_testing
1.476756006013602
usercpu_time_millis_testing
1.444888999685645
usercpu_time_millis_testing
1.441985004930757
usercpu_time_millis_testing
1.4929980097804219
usercpu_time_millis_testing
1.4900130045134574
usercpu_time_millis_testing
1.4659419975942
usercpu_time_millis_testing
1.5216969914035872
usercpu_time_millis_testing
1.4771309943171218
usercpu_time_millis_testing
1.4040359965292737
usercpu_time_millis_training
86.19362200261094
usercpu_time_millis_training
99.11518399894703
usercpu_time_millis_training
143.35038598801475
usercpu_time_millis_training
133.3670480089495
usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
128.96262299909722
usercpu_time_millis_training
93.80441899702419
usercpu_time_millis_training
123.47672900068574
usercpu_time_millis_training
128.13250499311835
wall_clock_time_millis
95.7033634185791
wall_clock_time_millis
100.7683277130127
wall_clock_time_millis
144.85621452331543
wall_clock_time_millis
134.86051559448242
wall_clock_time_millis
231.70804977416992
wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
95.37434577941895
wall_clock_time_millis
124.98879432678223
wall_clock_time_millis
129.61292266845703
wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
1.4529228210449219
wall_clock_time_millis_testing
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wall_clock_time_millis_testing
1.4979839324951172
wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
1.527547836303711
wall_clock_time_millis_testing
1.4827251434326172
wall_clock_time_millis_testing
1.4083385467529297
wall_clock_time_millis_training
94.2084789276123
wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
128.2045841217041