10367418
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)
8222770
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
9103.28464106573
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.005482385663458846
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
33732
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
21656541
description
https://api.openml.org/data/download/21656541/description.xml
-1
21656542
predictions
https://api.openml.org/data/download/21656542/predictions.arff
area_under_roc_curve
0.6977910447761194 [0.697791,0.697791]
average_cost
0
f_measure
0.7393584280303029 [0.816288,0.595833]
kappa
0.4157359769105283
kb_relative_information_score
0.4214223801493749
mean_absolute_error
0.2526041666666667
mean_prior_absolute_error
0.4544913419913401
number_of_instances
768 [500,268]
precision
0.7400566575041854 [0.77518,0.674528]
predictive_accuracy
0.7473958333333333
prior_entropy
0.9331348051619819
recall
0.7473958333333334 [0.862,0.533582]
relative_absolute_error
0.555795332777714
root_mean_prior_squared_error
0.4766409223329586
root_mean_squared_error
0.5025974200756175
root_relative_squared_error
1.0544571322487641
total_cost
0
area_under_roc_curve
0.7462962962962963 [0.746296,0.746296]
area_under_roc_curve
0.5851851851851851 [0.585185,0.585185]
area_under_roc_curve
0.7718518518518519 [0.771852,0.771852]
area_under_roc_curve
0.6081481481481481 [0.608148,0.608148]
area_under_roc_curve
0.6892592592592592 [0.689259,0.689259]
area_under_roc_curve
0.7262962962962963 [0.726296,0.726296]
area_under_roc_curve
0.6892592592592592 [0.689259,0.689259]
area_under_roc_curve
0.7748148148148148 [0.774815,0.774815]
area_under_roc_curve
0.6407692307692309 [0.640769,0.640769]
area_under_roc_curve
0.7469230769230769 [0.746923,0.746923]
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
0.7851016907620681 [0.849057,0.666667]
f_measure
0.6347083022366379 [0.747664,0.425532]
f_measure
0.7922077922077921 [0.84,0.703704]
f_measure
0.6633366633366634 [0.8,0.410256]
f_measure
0.7313771134525852 [0.811321,0.583333]
f_measure
0.7613786213786213 [0.826923,0.64]
f_measure
0.7313771134525852 [0.811321,0.583333]
f_measure
0.8119639794168095 [0.867925,0.708333]
f_measure
0.6884765104249988 [0.780952,0.510638]
f_measure
0.7752301545944068 [0.831683,0.666667]
kappa
0.5191256830601093
kappa
0.18117369042930287
kappa
0.5437037037037038
kappa
0.24798301486199587
kappa
0.3989071038251366
kappa
0.468558282208589
kappa
0.3989071038251366
kappa
0.5792349726775957
kappa
0.29516129032258054
kappa
0.498447204968944
kb_relative_information_score
0.5248345771079561
kb_relative_information_score
0.19815834886967557
kb_relative_information_score
0.5248345771079564
kb_relative_information_score
0.316949704592687
kb_relative_information_score
0.40604322138494553
kb_relative_information_score
0.4654388992464511
kb_relative_information_score
0.40604322138494553
kb_relative_information_score
0.5842302549694616
kb_relative_information_score
0.30223933382579077
kb_relative_information_score
0.4842638554364544
mean_absolute_error
0.2077922077922078
mean_absolute_error
0.35064935064935066
mean_absolute_error
0.2077922077922078
mean_absolute_error
0.2987012987012987
mean_absolute_error
0.2597402597402597
mean_absolute_error
0.23376623376623376
mean_absolute_error
0.2597402597402597
mean_absolute_error
0.18181818181818182
mean_absolute_error
0.3026315789473684
mean_absolute_error
0.2236842105263158
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
0.788961038961039 [0.803571,0.761905]
precision
0.6310093415356572 [0.701754,0.5]
precision
0.7922077922077922 [0.84,0.703704]
precision
0.6933066933066934 [0.707692,0.666667]
precision
0.7323747680890539 [0.767857,0.666667]
precision
0.7610055001359349 [0.796296,0.695652]
precision
0.7323747680890539 [0.767857,0.666667]
precision
0.8172541743970315 [0.821429,0.809524]
precision
0.6859193438140806 [0.745455,0.571429]
precision
0.7744272445820433 [0.823529,0.68]
predictive_accuracy
0.7922077922077922
predictive_accuracy
0.6493506493506493
predictive_accuracy
0.7922077922077922
predictive_accuracy
0.7012987012987013
predictive_accuracy
0.7402597402597402
predictive_accuracy
0.7662337662337663
predictive_accuracy
0.7402597402597402
predictive_accuracy
0.8181818181818181
predictive_accuracy
0.6973684210526316
predictive_accuracy
0.7763157894736843
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
0.7922077922077922 [0.9,0.592593]
recall
0.6493506493506493 [0.8,0.37037]
recall
0.7922077922077922 [0.84,0.703704]
recall
0.7012987012987013 [0.92,0.296296]
recall
0.7402597402597403 [0.86,0.518519]
recall
0.7662337662337663 [0.86,0.592593]
recall
0.7402597402597403 [0.86,0.518519]
recall
0.8181818181818182 [0.92,0.62963]
recall
0.6973684210526315 [0.82,0.461538]
recall
0.7763157894736842 [0.84,0.653846]
relative_absolute_error
0.45668532453571503
relative_absolute_error
0.7706564851540191
relative_absolute_error
0.45668532453571503
relative_absolute_error
0.6564851540200902
relative_absolute_error
0.5708566556696436
relative_absolute_error
0.5137709901026793
relative_absolute_error
0.5708566556696436
relative_absolute_error
0.3995996589687507
relative_absolute_error
0.66890768998338
relative_absolute_error
0.4944100317268461
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
0.4558423058385518
root_mean_squared_error
0.592156525463792
root_mean_squared_error
0.4558423058385518
root_mean_squared_error
0.5465357250000211
root_mean_squared_error
0.5096471914376255
root_mean_squared_error
0.48349377841522817
root_mean_squared_error
0.5096471914376255
root_mean_squared_error
0.4264014327112209
root_mean_squared_error
0.5501196042201808
root_mean_squared_error
0.47295265146345866
root_relative_squared_error
0.9552935845579276
root_relative_squared_error
1.2409627684491944
root_relative_squared_error
0.9552935845579276
root_relative_squared_error
1.1453567717103283
root_relative_squared_error
1.0680506967704846
root_relative_squared_error
1.0132418574973725
root_relative_squared_error
1.0680506967704846
root_relative_squared_error
0.8935953242997315
root_relative_squared_error
1.159440311898513
root_relative_squared_error
0.9968020872540012
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
416.0889980000775
usercpu_time_millis
451.00919900005465
usercpu_time_millis
525.9755900001437
usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
268.61093799993796
usercpu_time_millis
341.34369899993544
usercpu_time_millis_testing
1.4841780000551807
usercpu_time_millis_testing
1.5257820000442734
usercpu_time_millis_testing
2.609300000131043
usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_training
414.6048200000223
usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
339.83794599998873
wall_clock_time_millis
416.1059856414795
wall_clock_time_millis
451.2295722961426
wall_clock_time_millis
528.062105178833
wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_training
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