10498492
8323
Heinrich Peters
37
Supervised Classification
18601
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2)
8275627
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"median"
12737
verbose
0
12737
C
0.1
13106
class_weight
null
13106
dual
false
13106
fit_intercept
true
13106
intercept_scaling
1
13106
l1_ratio
null
13106
max_iter
10000
13106
multi_class
"warn"
13106
n_jobs
null
13106
penalty
"l2"
13106
random_state
1
13106
solver
"lbfgs"
13106
tol
0.0001
13106
verbose
0
13106
warm_start
false
13106
copy
true
13294
with_mean
true
13294
with_std
true
13294
memory
null
18601
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": "logisticregression", "step_name": "logisticregression"}}]
18601
verbose
false
18601
openml-python
Sklearn_0.21.2.
37
diabetes
https://www.openml.org/data/download/37/dataset_37_diabetes.arff
-1
21921933
description
https://api.openml.org/data/download/21921933/description.xml
-1
21921934
predictions
https://api.openml.org/data/download/21921934/predictions.arff
area_under_roc_curve
0.8307910447761194 [0.830791,0.830791]
average_cost
0
f_measure
0.7667509342394631 [0.836946,0.635789]
kappa
0.47660017018058065
kb_relative_information_score
0.3133553215303262
mean_absolute_error
0.32015045465065467
mean_prior_absolute_error
0.4544913419913401
weighted_recall
0.7747395833333334 [0.888,0.563433]
number_of_instances
768 [500,268]
precision
0.7698170698890009 [0.791444,0.729469]
predictive_accuracy
0.7747395833333333
prior_entropy
0.9331348051619819
relative_absolute_error
0.704414859143246
root_mean_prior_squared_error
0.4766409223329586
root_mean_squared_error
0.3965338936843609
root_relative_squared_error
0.8319342194612516
total_cost
0
unweighted_recall
0.7257164179104478 [0.888,0.563433]
area_under_roc_curve
0.9162962962962964 [0.916296,0.916296]
area_under_roc_curve
0.7355555555555555 [0.735556,0.735556]
area_under_roc_curve
0.8777777777777778 [0.877778,0.877778]
area_under_roc_curve
0.8340740740740741 [0.834074,0.834074]
area_under_roc_curve
0.8096296296296296 [0.80963,0.80963]
area_under_roc_curve
0.8933333333333333 [0.893333,0.893333]
area_under_roc_curve
0.7992592592592592 [0.799259,0.799259]
area_under_roc_curve
0.8696296296296296 [0.86963,0.86963]
area_under_roc_curve
0.8284615384615385 [0.828462,0.828462]
area_under_roc_curve
0.7753846153846154 [0.775385,0.775385]
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
0.8577200577200578 [0.888889,0.8]
f_measure
0.6727523684045422 [0.777778,0.478261]
f_measure
0.7851016907620681 [0.849057,0.666667]
f_measure
0.6997233286894414 [0.814159,0.487805]
f_measure
0.7700015236304757 [0.841121,0.638298]
f_measure
0.8304118821585662 [0.871287,0.754717]
f_measure
0.7732131813764467 [0.838095,0.653061]
f_measure
0.7937567020135827 [0.862385,0.666667]
f_measure
0.7781321991848308 [0.851852,0.636364]
f_measure
0.6884765104249988 [0.780952,0.510638]
kappa
0.6889460154241644
kappa
0.2655007949125597
kappa
0.5191256830601093
kappa
0.326530612244898
kappa
0.48444269397400563
kappa
0.6260739633918567
kappa
0.4936170212765959
kappa
0.5367027677496993
kappa
0.4950166112956811
kappa
0.29516129032258054
kb_relative_information_score
0.4154992405142172
kb_relative_information_score
0.21222817066870758
kb_relative_information_score
0.33446105420442224
kb_relative_information_score
0.28632710256343225
kb_relative_information_score
0.30348936109580743
kb_relative_information_score
0.3565806105301101
kb_relative_information_score
0.3173848412436938
kb_relative_information_score
0.3450146070140121
kb_relative_information_score
0.3133506259795963
kb_relative_information_score
0.24783621168302247
mean_absolute_error
0.2834971008024181
mean_absolute_error
0.35827789774018975
mean_absolute_error
0.31497603412069125
mean_absolute_error
0.3278559733170745
mean_absolute_error
0.3272554077205826
mean_absolute_error
0.30718433592632644
mean_absolute_error
0.3186000770366474
mean_absolute_error
0.30893355324445754
mean_absolute_error
0.3155144667824965
mean_absolute_error
0.33960211109588534
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
0.858600583090379 [0.897959,0.785714]
precision
0.6732269545336695 [0.724138,0.578947]
precision
0.788961038961039 [0.803571,0.761905]
precision
0.7245928674500103 [0.730159,0.714286]
precision
0.7756322624743677 [0.789474,0.75]
precision
0.8299543593661242 [0.862745,0.769231]
precision
0.7744982290436836 [0.8,0.727273]
precision
0.8094871230464451 [0.79661,0.833333]
precision
0.7878604557370438 [0.793103,0.777778]
precision
0.6859193438140806 [0.745455,0.571429]
predictive_accuracy
0.8571428571428571
predictive_accuracy
0.6883116883116882
predictive_accuracy
0.7922077922077922
predictive_accuracy
0.7272727272727273
predictive_accuracy
0.7792207792207791
predictive_accuracy
0.8311688311688311
predictive_accuracy
0.7792207792207791
predictive_accuracy
0.8051948051948052
predictive_accuracy
0.7894736842105263
predictive_accuracy
0.6973684210526316
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
0.6230693963960168
relative_absolute_error
0.787422491641614
relative_absolute_error
0.6922537369987678
relative_absolute_error
0.7205612432060393
relative_absolute_error
0.7192413212645334
relative_absolute_error
0.675129157321862
relative_absolute_error
0.7002186517219409
relative_absolute_error
0.6789735838626928
relative_absolute_error
0.6973827842616583
relative_absolute_error
0.750623792919292
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
0.3455054448396858
root_mean_squared_error
0.4539707678850537
root_mean_squared_error
0.3807327444290164
root_mean_squared_error
0.40712349844855084
root_mean_squared_error
0.3977979170845213
root_mean_squared_error
0.36126456406357205
root_mean_squared_error
0.4058568744904015
root_mean_squared_error
0.38123723966448586
root_mean_squared_error
0.3962635406880608
root_mean_squared_error
0.42506565235795896
root_relative_squared_error
0.7240642885877372
root_relative_squared_error
0.9513714646113277
root_relative_squared_error
0.7978889706498417
root_relative_squared_error
0.8531951975699833
root_relative_squared_error
0.8336518863519903
root_relative_squared_error
0.7570901514794408
root_relative_squared_error
0.8505407757978718
root_relative_squared_error
0.7989462245635552
root_relative_squared_error
0.83517096952154
root_relative_squared_error
0.8958747311793718
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
0.8474074074074074 [0.88,0.814815]
unweighted_recall
0.6237037037037036 [0.84,0.407407]
unweighted_recall
0.7462962962962962 [0.9,0.592593]
unweighted_recall
0.6451851851851852 [0.92,0.37037]
unweighted_recall
0.7277777777777779 [0.9,0.555556]
unweighted_recall
0.8103703703703704 [0.88,0.740741]
unweighted_recall
0.7362962962962962 [0.88,0.592593]
unweighted_recall
0.7477777777777778 [0.94,0.555556]
unweighted_recall
0.7292307692307692 [0.92,0.538462]
unweighted_recall
0.6407692307692308 [0.82,0.461538]
usercpu_time_millis
7.870982997701503
usercpu_time_millis
7.89716300641885
usercpu_time_millis
7.79344799957471
usercpu_time_millis
7.836084994778503
usercpu_time_millis
7.795653997163754
usercpu_time_millis
7.495286001358181
usercpu_time_millis
7.7488800015999
usercpu_time_millis
7.567472006485332
usercpu_time_millis
6.976242002565414
usercpu_time_millis
6.9437339989235625
usercpu_time_millis_testing
0.481434995890595
usercpu_time_millis_testing
0.5303280049702153
usercpu_time_millis_testing
0.48180999874603003
usercpu_time_millis_testing
0.4849679971812293
usercpu_time_millis_testing
0.48182000318774953
usercpu_time_millis_testing
0.48069599870359525
usercpu_time_millis_testing
0.514715000463184
usercpu_time_millis_testing
0.43261400423943996
usercpu_time_millis_testing
0.4334420009399764
usercpu_time_millis_testing
0.44793100096285343
usercpu_time_millis_training
7.389548001810908
usercpu_time_millis_training
7.366835001448635
usercpu_time_millis_training
7.31163800082868
usercpu_time_millis_training
7.351116997597273
usercpu_time_millis_training
7.313833993976004
usercpu_time_millis_training
7.014590002654586
usercpu_time_millis_training
7.2341650011367165
usercpu_time_millis_training
7.134858002245892
usercpu_time_millis_training
6.542800001625437
usercpu_time_millis_training
6.495802997960709
wall_clock_time_millis
7.87663459777832
wall_clock_time_millis
7.904529571533203
wall_clock_time_millis
7.799625396728516
wall_clock_time_millis
7.840156555175781
wall_clock_time_millis
7.799625396728516
wall_clock_time_millis
7.500886917114258
wall_clock_time_millis
7.75599479675293
wall_clock_time_millis
7.570505142211914
wall_clock_time_millis
6.979227066040039
wall_clock_time_millis
6.947755813598633
wall_clock_time_millis_testing
0.48661231994628906
wall_clock_time_millis_testing
0.5335807800292969
wall_clock_time_millis_testing
0.4868507385253906
wall_clock_time_millis_testing
0.48851966857910156
wall_clock_time_millis_testing
0.4856586456298828
wall_clock_time_millis_testing
0.4837512969970703
wall_clock_time_millis_testing
0.5185604095458984
wall_clock_time_millis_testing
0.4353523254394531
wall_clock_time_millis_testing
0.4367828369140625
wall_clock_time_millis_testing
0.4508495330810547
wall_clock_time_millis_training
7.390022277832031
wall_clock_time_millis_training
7.370948791503906
wall_clock_time_millis_training
7.312774658203125
wall_clock_time_millis_training
7.35163688659668
wall_clock_time_millis_training
7.313966751098633
wall_clock_time_millis_training
7.0171356201171875
wall_clock_time_millis_training
7.237434387207031
wall_clock_time_millis_training
7.135152816772461
wall_clock_time_millis_training
6.542444229125977
wall_clock_time_millis_training
6.496906280517578
weighted_recall
0.8571428571428571 [0.88,0.814815]
weighted_recall
0.6883116883116883 [0.84,0.407407]
weighted_recall
0.7922077922077922 [0.9,0.592593]
weighted_recall
0.7272727272727273 [0.92,0.37037]
weighted_recall
0.7792207792207793 [0.9,0.555556]
weighted_recall
0.8311688311688312 [0.88,0.740741]
weighted_recall
0.7792207792207793 [0.88,0.592593]
weighted_recall
0.8051948051948052 [0.94,0.555556]
weighted_recall
0.7894736842105263 [0.92,0.538462]
weighted_recall
0.6973684210526315 [0.82,0.461538]