10557725
8323
Heinrich Peters
15
Supervised Classification
18591
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(1)
8275919
copy
true
17405
with_mean
true
17405
with_std
true
17405
add_indicator
false
17407
copy
true
17407
fill_value
null
17407
missing_values
NaN
17407
strategy
"median"
17407
verbose
0
17407
C
25.0
17462
class_weight
null
17462
dual
false
17462
fit_intercept
true
17462
intercept_scaling
1
17462
l1_ratio
null
17462
max_iter
100
17462
multi_class
"warn"
17462
n_jobs
null
17462
penalty
"l2"
17462
random_state
1
17462
solver
"liblinear"
17462
tol
0.0001
17462
verbose
0
17462
warm_start
false
17462
memory
null
18591
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"}}]
18591
verbose
false
18591
openml-python
Sklearn_0.21.2.
15
breast-w
https://www.openml.org/data/download/52350/openml_phpJNxH0q
-1
22040410
description
https://api.openml.org/data/download/22040410/description.xml
-1
22040411
predictions
https://api.openml.org/data/download/22040411/predictions.arff
area_under_roc_curve
0.9943376397470511 [0.994338,0.994338]
average_cost
0
f_measure
0.9656652360515021 [0.973799,0.950207]
kappa
0.9240065955172225
kb_relative_information_score
0.8984135873146648
mean_absolute_error
0.04774310529692332
mean_prior_absolute_error
0.4519499019385762
weighted_recall
0.9656652360515021 [0.973799,0.950207]
number_of_instances
699 [458,241]
precision
0.9656652360515021 [0.973799,0.950207]
predictive_accuracy
0.9656652360515021
prior_entropy
0.92931856324281
relative_absolute_error
0.1056380476954103
root_mean_prior_squared_error
0.47529612442517866
root_mean_squared_error
0.16366065596593807
root_relative_squared_error
0.34433408470112953
total_cost
0
unweighted_recall
0.9620032977586113 [0.973799,0.950207]
area_under_roc_curve
0.9972826086956522 [0.997283,0.997283]
area_under_roc_curve
0.9873188405797103 [0.987319,0.987319]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.9972826086956522 [0.997283,0.997283]
area_under_roc_curve
0.9981884057971013 [0.998188,0.998188]
area_under_roc_curve
0.986413043478261 [0.986413,0.986413]
area_under_roc_curve
0.9893333333333333 [0.989333,0.989333]
area_under_roc_curve
0.9953703703703703 [0.99537,0.99537]
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
0.9569173448377291 [0.967742,0.93617]
f_measure
0.9716825396825397 [0.977778,0.96]
f_measure
0.9711114047839302 [0.978723,0.956522]
f_measure
0.9716825396825397 [0.977778,0.96]
f_measure
0.9856391149459097 [0.989247,0.978723]
f_measure
0.9714285714285714 [0.978261,0.958333]
f_measure
0.9711114047839302 [0.978723,0.956522]
f_measure
0.9573446961202065 [0.967033,0.938776]
f_measure
0.9428571428571428 [0.955556,0.92]
f_measure
0.956721134961068 [0.966292,0.938776]
kappa
0.9039341262580056
kappa
0.9378330373001776
kappa
0.9353049907578558
kappa
0.9378330373001776
kappa
0.9679780420860019
kappa
0.9365942028985507
kappa
0.9353049907578558
kappa
0.9058295964125561
kappa
0.8755555555555555
kappa
0.9050894085281982
kb_relative_information_score
0.885741046508758
kb_relative_information_score
0.9086365153642317
kb_relative_information_score
0.9248739063126306
kb_relative_information_score
0.9228106274369198
kb_relative_information_score
0.9405062248174545
kb_relative_information_score
0.921826774040112
kb_relative_information_score
0.8825904335110196
kb_relative_information_score
0.8582759266689437
kb_relative_information_score
0.858226665361368
kb_relative_information_score
0.8810560202685425
mean_absolute_error
0.052932154146821106
mean_absolute_error
0.043541079862311344
mean_absolute_error
0.0344255039690489
mean_absolute_error
0.036595646633139224
mean_absolute_error
0.03100670645807229
mean_absolute_error
0.03648379166606586
mean_absolute_error
0.05655547490779017
mean_absolute_error
0.06511961432140885
mean_absolute_error
0.06557529092333203
mean_absolute_error
0.055303800005653596
mean_prior_absolute_error
0.45135520684736086
mean_prior_absolute_error
0.45135520684736086
mean_prior_absolute_error
0.45135520684736086
mean_prior_absolute_error
0.45135520684736086
mean_prior_absolute_error
0.45135520684736086
mean_prior_absolute_error
0.45135520684736086
mean_prior_absolute_error
0.45135520684736086
mean_prior_absolute_error
0.45135520684736086
mean_prior_absolute_error
0.45577746077032805
mean_prior_absolute_error
0.45289338212491465
number_of_instances
70 [46,24]
number_of_instances
70 [46,24]
number_of_instances
70 [46,24]
number_of_instances
70 [46,24]
number_of_instances
70 [46,24]
number_of_instances
70 [46,24]
number_of_instances
70 [46,24]
number_of_instances
70 [46,24]
number_of_instances
70 [45,25]
number_of_instances
69 [45,24]
precision
0.9571296418659971 [0.957447,0.956522]
precision
0.9736263736263737 [1,0.923077]
precision
0.9726190476190477 [0.958333,1]
precision
0.9736263736263737 [1,0.923077]
precision
0.9860182370820668 [0.978723,1]
precision
0.9714285714285714 [0.978261,0.958333]
precision
0.9726190476190477 [0.958333,1]
precision
0.9579682539682539 [0.977778,0.92]
precision
0.9428571428571428 [0.955556,0.92]
precision
0.9573517786561265 [0.977273,0.92]
predictive_accuracy
0.9571428571428571
predictive_accuracy
0.9714285714285714
predictive_accuracy
0.9714285714285714
predictive_accuracy
0.9714285714285714
predictive_accuracy
0.9857142857142857
predictive_accuracy
0.9714285714285714
predictive_accuracy
0.9714285714285714
predictive_accuracy
0.9571428571428571
predictive_accuracy
0.942857142857143
predictive_accuracy
0.9565217391304348
prior_entropy
0.9275444412731174
prior_entropy
0.9275444412731174
prior_entropy
0.9275444412731174
prior_entropy
0.9275444412731174
prior_entropy
0.9275444412731174
prior_entropy
0.9275444412731174
prior_entropy
0.9275444412731174
prior_entropy
0.9275444412731174
prior_entropy
0.9407371142179634
prior_entropy
0.9321331970800204
relative_absolute_error
0.11727383077408851
relative_absolute_error
0.09646743673666325
relative_absolute_error
0.07627142314255146
relative_absolute_error
0.08107948258479962
relative_absolute_error
0.06869690653321327
relative_absolute_error
0.08083166231957069
relative_absolute_error
0.12530147885701934
relative_absolute_error
0.1442757573935133
relative_absolute_error
0.14387567742490065
relative_absolute_error
0.1221121839894759
root_mean_prior_squared_error
0.47467010734022363
root_mean_prior_squared_error
0.47467010734022363
root_mean_prior_squared_error
0.47467010734022363
root_mean_prior_squared_error
0.47467010734022363
root_mean_prior_squared_error
0.47467010734022363
root_mean_prior_squared_error
0.47467010734022363
root_mean_prior_squared_error
0.47467010734022363
root_mean_prior_squared_error
0.47467010734022363
root_mean_prior_squared_error
0.4793057111336632
root_mean_prior_squared_error
0.4762876085727333
root_mean_squared_error
0.1676591476901049
root_mean_squared_error
0.17207834187968712
root_mean_squared_error
0.1432817050793233
root_mean_squared_error
0.12223255596775155
root_mean_squared_error
0.09493545262373763
root_mean_squared_error
0.146197617521938
root_mean_squared_error
0.16299640614515612
root_mean_squared_error
0.19870965279498867
root_mean_squared_error
0.20688715681405995
root_mean_squared_error
0.1885206991450673
root_relative_squared_error
0.35321193624256153
root_relative_squared_error
0.36252196887626753
root_relative_squared_error
0.3018553367141466
root_relative_squared_error
0.25751054064194606
root_relative_squared_error
0.20000301505334078
root_relative_squared_error
0.30799836615190446
root_relative_squared_error
0.34338881598947446
root_relative_squared_error
0.4186268520435013
root_relative_squared_error
0.4316392482049221
root_relative_squared_error
0.3958127311142896
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
0.947463768115942 [0.978261,0.916667]
unweighted_recall
0.9782608695652174 [0.956522,1]
unweighted_recall
0.9583333333333333 [1,0.916667]
unweighted_recall
0.9782608695652174 [0.956522,1]
unweighted_recall
0.9791666666666667 [1,0.958333]
unweighted_recall
0.9682971014492754 [0.978261,0.958333]
unweighted_recall
0.9583333333333333 [1,0.916667]
unweighted_recall
0.957427536231884 [0.956522,0.958333]
unweighted_recall
0.9377777777777778 [0.955556,0.92]
unweighted_recall
0.9569444444444445 [0.955556,0.958333]
usercpu_time_millis
6.2359999997170235
usercpu_time_millis
5.31200000023091
usercpu_time_millis
5.384000000049127
usercpu_time_millis
5.650000000059663
usercpu_time_millis
5.812000000332773
usercpu_time_millis
5.760000000009313
usercpu_time_millis
5.3339999999479915
usercpu_time_millis
5.719999999655556
usercpu_time_millis
6.008000000292668
usercpu_time_millis
5.251999999927648
usercpu_time_millis_testing
0.6419999999707215
usercpu_time_millis_testing
0.49600000011196244
usercpu_time_millis_testing
0.6039999998392886
usercpu_time_millis_testing
0.5099999998492422
usercpu_time_millis_testing
0.5420000002231973
usercpu_time_millis_testing
0.5059999998593412
usercpu_time_millis_testing
0.5679999999301799
usercpu_time_millis_testing
0.5479999999806751
usercpu_time_millis_testing
0.5140000002938905
usercpu_time_millis_testing
0.5019999998694402
usercpu_time_millis_training
5.593999999746302
usercpu_time_millis_training
4.816000000118947
usercpu_time_millis_training
4.780000000209839
usercpu_time_millis_training
5.140000000210421
usercpu_time_millis_training
5.270000000109576
usercpu_time_millis_training
5.254000000149972
usercpu_time_millis_training
4.7660000000178115
usercpu_time_millis_training
5.171999999674881
usercpu_time_millis_training
5.493999999998778
usercpu_time_millis_training
4.750000000058208
wall_clock_time_millis
3.1337738037109375
wall_clock_time_millis
2.6733875274658203
wall_clock_time_millis
2.748250961303711
wall_clock_time_millis
2.8581619262695312
wall_clock_time_millis
2.950906753540039
wall_clock_time_millis
2.9370784759521484
wall_clock_time_millis
2.6891231536865234
wall_clock_time_millis
2.875804901123047
wall_clock_time_millis
3.027677536010742
wall_clock_time_millis
2.6400089263916016
wall_clock_time_millis_testing
0.3237724304199219
wall_clock_time_millis_testing
0.2522468566894531
wall_clock_time_millis_testing
0.34618377685546875
wall_clock_time_millis_testing
0.2579689025878906
wall_clock_time_millis_testing
0.2739429473876953
wall_clock_time_millis_testing
0.2560615539550781
wall_clock_time_millis_testing
0.2932548522949219
wall_clock_time_millis_testing
0.2758502960205078
wall_clock_time_millis_testing
0.2598762512207031
wall_clock_time_millis_testing
0.2529621124267578
wall_clock_time_millis_training
2.8100013732910156
wall_clock_time_millis_training
2.421140670776367
wall_clock_time_millis_training
2.402067184448242
wall_clock_time_millis_training
2.6001930236816406
wall_clock_time_millis_training
2.6769638061523438
wall_clock_time_millis_training
2.6810169219970703
wall_clock_time_millis_training
2.3958683013916016
wall_clock_time_millis_training
2.599954605102539
wall_clock_time_millis_training
2.767801284790039
wall_clock_time_millis_training
2.3870468139648438
weighted_recall
0.9571428571428572 [0.978261,0.916667]
weighted_recall
0.9714285714285714 [0.956522,1]
weighted_recall
0.9714285714285714 [1,0.916667]
weighted_recall
0.9714285714285714 [0.956522,1]
weighted_recall
0.9857142857142858 [1,0.958333]
weighted_recall
0.9714285714285714 [0.978261,0.958333]
weighted_recall
0.9714285714285714 [1,0.916667]
weighted_recall
0.9571428571428572 [0.956522,0.958333]
weighted_recall
0.9428571428571428 [0.955556,0.92]
weighted_recall
0.9565217391304348 [0.955556,0.958333]