10551182
8323
Heinrich Peters
10101
Supervised Classification
18601
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2)
8275614
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"median"
12737
verbose
0
12737
C
1.0
13106
class_weight
null
13106
dual
false
13106
fit_intercept
true
13106
intercept_scaling
1
13106
l1_ratio
null
13106
max_iter
100
13106
multi_class
"warn"
13106
n_jobs
null
13106
penalty
"l2"
13106
random_state
1
13106
solver
"liblinear"
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.
1464
blood-transfusion-service-center
https://www.openml.org/data/download/1586225/php0iVrYT
-1
22027319
description
https://api.openml.org/data/download/22027319/description.xml
-1
22027320
predictions
https://api.openml.org/data/download/22027320/predictions.arff
area_under_roc_curve
0.7521190616991917 [0.752119,0.752119]
average_cost
0
f_measure
0.7073906545881211 [0.866719,0.197183]
kappa
0.12907179431310603
kb_relative_information_score
0.09371578807816044
mean_absolute_error
0.3107479221210534
mean_prior_absolute_error
0.3630445632798566
weighted_recall
0.7713903743315508 [0.975439,0.117978]
number_of_instances
748 [570,178]
precision
0.7370161477825862 [0.779804,0.6]
predictive_accuracy
0.7713903743315508
prior_entropy
0.7916465694609683
relative_absolute_error
0.8559498021776192
root_mean_prior_squared_error
0.4258399633559147
root_mean_squared_error
0.39287918818165907
root_relative_squared_error
0.9225982105706992
total_cost
0
unweighted_recall
0.5467080622905579 [0.975439,0.117978]
area_under_roc_curve
0.7782651072124757 [0.778265,0.778265]
area_under_roc_curve
0.8396686159844056 [0.839669,0.839669]
area_under_roc_curve
0.6783625730994152 [0.678363,0.678363]
area_under_roc_curve
0.6885964912280701 [0.688596,0.688596]
area_under_roc_curve
0.7787524366471735 [0.778752,0.778752]
area_under_roc_curve
0.7373294346978557 [0.737329,0.737329]
area_under_roc_curve
0.7850877192982456 [0.785088,0.785088]
area_under_roc_curve
0.73635477582846 [0.736355,0.736355]
area_under_roc_curve
0.7352941176470589 [0.735294,0.735294]
area_under_roc_curve
0.7776057791537667 [0.777606,0.777606]
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
0.6880383430332078 [0.850394,0.173913]
f_measure
0.7144615384615385 [0.876923,0.2]
f_measure
0.6430769230769231 [0.846154,0]
f_measure
0.6630681818181817 [0.84375,0.090909]
f_measure
0.7755555555555557 [0.888889,0.416667]
f_measure
0.6787692307692308 [0.861538,0.1]
f_measure
0.7401993355481727 [0.883721,0.285714]
f_measure
0.720876412187607 [0.866142,0.26087]
f_measure
0.7199324324324324 [0.875,0.2]
f_measure
0.7199324324324324 [0.875,0.2]
kappa
0.07766990291262131
kappa
0.1596638655462184
kappa
-0.05042016806722702
kappa
0.003984063745019896
kappa
0.3371212121212121
kappa
0.0546218487394959
kappa
0.23312883435582848
kappa
0.17475728155339784
kappa
0.14078374455732942
kappa
0.14078374455732942
kb_relative_information_score
0.08256698030272172
kb_relative_information_score
0.17554349233564587
kb_relative_information_score
-0.008931529651517597
kb_relative_information_score
0.029437492863439618
kb_relative_information_score
0.1748381649109633
kb_relative_information_score
0.09792820884309428
kb_relative_information_score
0.1488871779982497
kb_relative_information_score
0.04209582804113756
kb_relative_information_score
0.08597941648374453
kb_relative_information_score
0.10907695016758877
mean_absolute_error
0.31550519105920716
mean_absolute_error
0.2907841984785091
mean_absolute_error
0.34121807832124396
mean_absolute_error
0.3312153386374196
mean_absolute_error
0.28762565786887334
mean_absolute_error
0.30963066627329267
mean_absolute_error
0.29459064173102534
mean_absolute_error
0.32514252664379006
mean_absolute_error
0.3046460549676565
mean_absolute_error
0.3069893953099891
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.35873873873873896
mean_prior_absolute_error
0.35873873873873896
number_of_instances
75 [57,18]
number_of_instances
75 [57,18]
number_of_instances
75 [57,18]
number_of_instances
75 [57,18]
number_of_instances
75 [57,18]
number_of_instances
75 [57,18]
number_of_instances
75 [57,18]
number_of_instances
75 [57,18]
number_of_instances
74 [57,17]
number_of_instances
74 [57,17]
precision
0.6822857142857144 [0.771429,0.4]
precision
0.8334246575342465 [0.780822,1]
precision
0.5726027397260274 [0.753425,0]
precision
0.6380281690140844 [0.760563,0.25]
precision
0.8168115942028985 [0.811594,0.833333]
precision
0.703013698630137 [0.767123,0.5]
precision
0.8416666666666667 [0.791667,1]
precision
0.7411428571428571 [0.785714,0.6]
precision
0.7606902677325212 [0.788732,0.666667]
precision
0.7606902677325212 [0.788732,0.666667]
predictive_accuracy
0.7466666666666667
predictive_accuracy
0.7866666666666667
predictive_accuracy
0.7333333333333333
predictive_accuracy
0.7333333333333333
predictive_accuracy
0.8133333333333332
predictive_accuracy
0.76
predictive_accuracy
0.8
predictive_accuracy
0.7733333333333333
predictive_accuracy
0.7837837837837838
predictive_accuracy
0.7837837837837838
prior_entropy
0.7950473279640615
prior_entropy
0.7950473279640615
prior_entropy
0.7950473279640615
prior_entropy
0.7950473279640615
prior_entropy
0.7950473279640615
prior_entropy
0.7950473279640615
prior_entropy
0.7950473279640615
prior_entropy
0.7950473279640615
prior_entropy
0.7778597106646706
prior_entropy
0.7778597106646706
relative_absolute_error
0.8665185780518722
relative_absolute_error
0.798623659216646
relative_absolute_error
0.9371376839788078
relative_absolute_error
0.9096656803063737
relative_absolute_error
0.7899488919058696
relative_absolute_error
0.850384501629447
relative_absolute_error
0.8090778573980844
relative_absolute_error
0.8929870183933002
relative_absolute_error
0.8492142667355563
relative_absolute_error
0.855746430924379
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4207539065176338
root_mean_prior_squared_error
0.4207539065176338
root_mean_squared_error
0.3942599161516437
root_mean_squared_error
0.36926201113794127
root_mean_squared_error
0.4165361389553551
root_mean_squared_error
0.42696555801625613
root_mean_squared_error
0.3754634870763546
root_mean_squared_error
0.39676344262826785
root_mean_squared_error
0.3759549882307727
root_mean_squared_error
0.3970041823143406
root_mean_squared_error
0.3900244291081942
root_mean_squared_error
0.38254287654870345
root_relative_squared_error
0.9231411101301533
root_relative_squared_error
0.864609687482558
root_relative_squared_error
0.9752998414798937
root_relative_squared_error
0.9997198372630554
root_relative_squared_error
0.8791301526571874
root_relative_squared_error
0.9290030000058215
root_relative_squared_error
0.880280979567893
root_relative_squared_error
0.9295666806944971
root_relative_squared_error
0.9269656753426918
root_relative_squared_error
0.90918437267717
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
0.5292397660818713 [0.947368,0.111111]
unweighted_recall
0.5555555555555556 [1,0.111111]
unweighted_recall
0.4824561403508772 [0.964912,0]
unweighted_recall
0.5014619883040935 [0.947368,0.055556]
unweighted_recall
0.6301169590643274 [0.982456,0.277778]
unweighted_recall
0.5190058479532164 [0.982456,0.055556]
unweighted_recall
0.5833333333333334 [1,0.166667]
unweighted_recall
0.5657894736842105 [0.964912,0.166667]
unweighted_recall
0.5500515995872033 [0.982456,0.117647]
unweighted_recall
0.5500515995872033 [0.982456,0.117647]
usercpu_time_millis
4.873350961133838
usercpu_time_millis
4.7878960613161325
usercpu_time_millis
4.752772976644337
usercpu_time_millis
4.7591550392098725
usercpu_time_millis
4.766490019392222
usercpu_time_millis
4.717970034107566
usercpu_time_millis
4.836072970647365
usercpu_time_millis
4.737331997603178
usercpu_time_millis
4.385843989439309
usercpu_time_millis
4.055567958857864
usercpu_time_millis_testing
0.6068979855626822
usercpu_time_millis_testing
0.5672310362569988
usercpu_time_millis_testing
0.5648409714922309
usercpu_time_millis_testing
0.5692330305464566
usercpu_time_millis_testing
0.5606880295090377
usercpu_time_millis_testing
0.5958520341664553
usercpu_time_millis_testing
0.612750998698175
usercpu_time_millis_testing
0.6197930197231472
usercpu_time_millis_testing
0.5187219940125942
usercpu_time_millis_testing
0.47496898332610726
usercpu_time_millis_training
4.2664529755711555
usercpu_time_millis_training
4.220665025059134
usercpu_time_millis_training
4.187932005152106
usercpu_time_millis_training
4.189922008663416
usercpu_time_millis_training
4.205801989883184
usercpu_time_millis_training
4.122117999941111
usercpu_time_millis_training
4.22332197194919
usercpu_time_millis_training
4.117538977880031
usercpu_time_millis_training
3.8671219954267144
usercpu_time_millis_training
3.580598975531757
wall_clock_time_millis
4.881381988525391
wall_clock_time_millis
4.793882369995117
wall_clock_time_millis
4.759311676025391
wall_clock_time_millis
4.764556884765625
wall_clock_time_millis
4.772424697875977
wall_clock_time_millis
4.723072052001953
wall_clock_time_millis
4.842042922973633
wall_clock_time_millis
4.7454833984375
wall_clock_time_millis
4.393577575683594
wall_clock_time_millis
4.061698913574219
wall_clock_time_millis_testing
0.6110668182373047
wall_clock_time_millis_testing
0.5710124969482422
wall_clock_time_millis_testing
0.5681514739990234
wall_clock_time_millis_testing
0.5731582641601562
wall_clock_time_millis_testing
0.5648136138916016
wall_clock_time_millis_testing
0.5998611450195312
wall_clock_time_millis_testing
0.6158351898193359
wall_clock_time_millis_testing
0.6248950958251953
wall_clock_time_millis_testing
0.5221366882324219
wall_clock_time_millis_testing
0.47898292541503906
wall_clock_time_millis_training
4.270315170288086
wall_clock_time_millis_training
4.222869873046875
wall_clock_time_millis_training
4.191160202026367
wall_clock_time_millis_training
4.191398620605469
wall_clock_time_millis_training
4.207611083984375
wall_clock_time_millis_training
4.123210906982422
wall_clock_time_millis_training
4.226207733154297
wall_clock_time_millis_training
4.120588302612305
wall_clock_time_millis_training
3.871440887451172
wall_clock_time_millis_training
3.5827159881591797
weighted_recall
0.7466666666666667 [0.947368,0.111111]
weighted_recall
0.7866666666666666 [1,0.111111]
weighted_recall
0.7333333333333333 [0.964912,0]
weighted_recall
0.7333333333333333 [0.947368,0.055556]
weighted_recall
0.8133333333333334 [0.982456,0.277778]
weighted_recall
0.76 [0.982456,0.055556]
weighted_recall
0.8 [1,0.166667]
weighted_recall
0.7733333333333333 [0.964912,0.166667]
weighted_recall
0.7837837837837838 [0.982456,0.117647]
weighted_recall
0.7837837837837838 [0.982456,0.117647]