10228048
6138
Felix Neutatz
10101
Supervised Classification
9826
fastsklearnfeature.feature_selection.openml_wrapper.ComplexPipelineWrapper.ComplexPipelineWrapper(my_pipeline=sklearn.pipeline.Pipeline(features=sklearn.pipeline.Pipeline(V2=sklearn.compose._column_transformer.ColumnTransformer(identity=sklearn.preprocessing._function_transformer.FunctionTransformer)),classifier=sklearn.linear_model.logistic.LogisticRegression))(1)
8153374
n_jobs
null
9799
remainder
"drop"
9799
sparse_threshold
0.3
9799
transformer_weights
null
9799
transformers
[{"oml-python:serialized_object": "component_reference", "value": {"key": "identity", "step_name": "identity", "argument_1": [1]}}]
9799
accept_sparse
false
9800
check_inverse
true
9800
func
{"oml-python:serialized_object": "function", "value": "fastsklearnfeature.candidates.Identity.identity"}
9800
inv_kw_args
null
9800
inverse_func
null
9800
kw_args
null
9800
pass_y
"deprecated"
9800
validate
false
9800
C
0.001
9801
class_weight
"balanced"
9801
dual
false
9801
fit_intercept
true
9801
intercept_scaling
1
9801
max_iter
10000
9801
multi_class
"auto"
9801
n_jobs
null
9801
penalty
"l2"
9801
random_state
35360
9801
solver
"lbfgs"
9801
tol
0.0001
9801
verbose
0
9801
warm_start
false
9801
memory
null
9827
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "features", "step_name": "features"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "classifier", "step_name": "classifier"}}]
9827
memory
null
9828
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "V2", "step_name": "V2"}}]
9828
openml-python
Sklearn_0.20.3.
1464
blood-transfusion-service-center
https://www.openml.org/data/download/1586225/php0iVrYT
-1
21377069
description
https://api.openml.org/data/download/21377069/description.xml
-1
21377070
predictions
https://api.openml.org/data/download/21377070/predictions.arff
area_under_roc_curve
0.593317563571851 [0.593318,0.593318]
average_cost
0
f_measure
0.679856586479265 [0.769373,0.393204]
kappa
0.1684158098829556
kb_relative_information_score
-28.92358622296051
mean_absolute_error
0.3342245989304813
mean_prior_absolute_error
0.3630445632798566
number_of_instances
748 [570,178]
precision
0.7005979829280355 [0.811284,0.346154]
predictive_accuracy
0.6657754010695187
prior_entropy
0.7928159530865964
recall
0.6657754010695188 [0.731579,0.455056]
relative_absolute_error
0.9206159043148674
root_mean_prior_squared_error
0.4258399633559147
root_mean_squared_error
0.5781216125786004
root_relative_squared_error
1.357603001894422
total_cost
0
area_under_roc_curve
0.5365497076023392 [0.53655,0.53655]
area_under_roc_curve
0.6345029239766082 [0.634503,0.634503]
area_under_roc_curve
0.4970760233918129 [0.497076,0.497076]
area_under_roc_curve
0.5614035087719299 [0.561404,0.561404]
area_under_roc_curve
0.6578947368421053 [0.657895,0.657895]
area_under_roc_curve
0.5716374269005848 [0.571637,0.571637]
area_under_roc_curve
0.6622807017543859 [0.662281,0.662281]
area_under_roc_curve
0.6301169590643276 [0.630117,0.630117]
area_under_roc_curve
0.6862745098039216 [0.686275,0.686275]
area_under_roc_curve
0.4979360165118679 [0.497936,0.497936]
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
0.6321582264725061 [0.728972,0.325581]
f_measure
0.7333333333333333 [0.824561,0.444444]
f_measure
0.6364223602484471 [0.765217,0.228571]
f_measure
0.68 [0.789474,0.333333]
f_measure
0.6776 [0.74,0.48]
f_measure
0.674982674982675 [0.774775,0.358974]
f_measure
0.7489691461372878 [0.831858,0.486486]
f_measure
0.6645867852091332 [0.732673,0.44898]
f_measure
0.7002702702702702 [0.76,0.5]
f_measure
0.6242410370850738 [0.733945,0.25641]
kappa
0.06451612903225794
kappa
0.26900584795321625
kappa
-0.005961251862891171
kappa
0.12280701754385981
kappa
0.24942263279445723
kappa
0.13554633471645922
kappa
0.3185078909612627
kappa
0.20867526377491205
kappa
0.2890312249799839
kappa
-0.0037418147801682507
kb_relative_information_score
-14.784068412227553
kb_relative_information_score
13.145462567878619
kb_relative_information_score
-8.577505972203964
kb_relative_information_score
0.7323376878314225
kb_relative_information_score
-5.4742247521921605
kb_relative_information_score
-2.370943532180369
kb_relative_information_score
16.24874378789043
kb_relative_information_score
-8.577505972203953
kb_relative_information_score
-1.8747377627469581
kb_relative_information_score
-17.391143862805947
mean_absolute_error
0.38666666666666666
mean_absolute_error
0.26666666666666666
mean_absolute_error
0.36
mean_absolute_error
0.32
mean_absolute_error
0.3466666666666667
mean_absolute_error
0.3333333333333333
mean_absolute_error
0.25333333333333335
mean_absolute_error
0.36
mean_absolute_error
0.32432432432432434
mean_absolute_error
0.3918918918918919
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
0.66 [0.78,0.28]
precision
0.7333333333333333 [0.824561,0.444444]
precision
0.6330223123732251 [0.758621,0.235294]
precision
0.68 [0.789474,0.333333]
precision
0.743953488372093 [0.860465,0.375]
precision
0.6851851851851851 [0.796296,0.333333]
precision
0.7515413533834586 [0.839286,0.473684]
precision
0.7242521994134898 [0.840909,0.354839]
precision
0.7696315970884613 [0.883721,0.387097]
precision
0.6447268947268948 [0.769231,0.227273]
predictive_accuracy
0.6133333333333334
predictive_accuracy
0.7333333333333333
predictive_accuracy
0.64
predictive_accuracy
0.68
predictive_accuracy
0.6533333333333333
predictive_accuracy
0.6666666666666667
predictive_accuracy
0.7466666666666667
predictive_accuracy
0.64
predictive_accuracy
0.6756756756756757
predictive_accuracy
0.6081081081081081
prior_entropy
0.7928159530865964
prior_entropy
0.7928159530865964
prior_entropy
0.7928159530865964
prior_entropy
0.7928159530865964
prior_entropy
0.7928159530865964
prior_entropy
0.7928159530865964
prior_entropy
0.7928159530865964
prior_entropy
0.7928159530865964
prior_entropy
0.7928159530865964
prior_entropy
0.7928159530865964
recall
0.6133333333333333 [0.684211,0.388889]
recall
0.7333333333333333 [0.824561,0.444444]
recall
0.64 [0.77193,0.222222]
recall
0.68 [0.789474,0.333333]
recall
0.6533333333333333 [0.649123,0.666667]
recall
0.6666666666666666 [0.754386,0.388889]
recall
0.7466666666666667 [0.824561,0.5]
recall
0.64 [0.649123,0.611111]
recall
0.6756756756756757 [0.666667,0.705882]
recall
0.6081081081081081 [0.701754,0.294118]
relative_absolute_error
1.0619598652409545
relative_absolute_error
0.732386113959279
relative_absolute_error
0.9887212538450265
relative_absolute_error
0.8788633367511348
relative_absolute_error
0.9521019481470627
relative_absolute_error
0.9154826424490986
relative_absolute_error
0.6957668082613151
relative_absolute_error
0.9887212538450265
relative_absolute_error
0.904068307383224
relative_absolute_error
1.0924158714213954
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
0.621825270205921
root_mean_squared_error
0.5163977794943222
root_mean_squared_error
0.6
root_mean_squared_error
0.565685424949238
root_mean_squared_error
0.5887840577551898
root_mean_squared_error
0.5773502691896257
root_mean_squared_error
0.5033222956847166
root_mean_squared_error
0.6
root_mean_squared_error
0.5694947974514994
root_mean_squared_error
0.6260126930757011
root_relative_squared_error
1.4559747180184737
root_relative_squared_error
1.2091211911275788
root_relative_squared_error
1.4048718710350763
root_relative_squared_error
1.3245259022761806
root_relative_squared_error
1.3786102680902632
root_relative_squared_error
1.351838588198391
root_relative_squared_error
1.1785055587870965
root_relative_squared_error
1.4048718710350763
root_relative_squared_error
1.3535104217211396
root_relative_squared_error
1.487835723872156
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
7.536203999999991
usercpu_time_millis
5.759265000000013
usercpu_time_millis
8.26082699999997
usercpu_time_millis
5.2574019999998
usercpu_time_millis
6.85828600000038
usercpu_time_millis
6.72546400000007
usercpu_time_millis
6.037579000000015
usercpu_time_millis
5.465136000000204
usercpu_time_millis
5.960464999999804
usercpu_time_millis
6.243525000000361
usercpu_time_millis_testing
0.7274719999998958
usercpu_time_millis_testing
0.7355530000001664
usercpu_time_millis_testing
0.6577489999997077
usercpu_time_millis_testing
0.41981999999984865
usercpu_time_millis_testing
0.5541570000002771
usercpu_time_millis_testing
0.48216100000031403
usercpu_time_millis_testing
0.4515099999999883
usercpu_time_millis_testing
0.4670990000001929
usercpu_time_millis_testing
0.5853909999999907
usercpu_time_millis_testing
0.5613100000001481
usercpu_time_millis_training
6.808732000000095
usercpu_time_millis_training
5.023711999999847
usercpu_time_millis_training
7.603078000000263
usercpu_time_millis_training
4.837581999999951
usercpu_time_millis_training
6.304129000000103
usercpu_time_millis_training
6.243302999999756
usercpu_time_millis_training
5.586069000000027
usercpu_time_millis_training
4.998037000000011
usercpu_time_millis_training
5.375073999999813
usercpu_time_millis_training
5.6822150000002125