10547420
8323
Heinrich Peters
15
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.
15
breast-w
https://www.openml.org/data/download/52350/openml_phpJNxH0q
-1
22019795
description
https://api.openml.org/data/download/22019795/description.xml
-1
22019796
predictions
https://api.openml.org/data/download/22019796/predictions.arff
area_under_roc_curve
0.9946547319212162 [0.994655,0.994655]
average_cost
0
f_measure
0.9656652360515021 [0.973799,0.950207]
kappa
0.9240065955172225
kb_relative_information_score
0.8953918422213378
mean_absolute_error
0.04976621940684805
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
0.11011446001732221
root_mean_prior_squared_error
0.47529612442517866
root_mean_squared_error
0.1610546756135254
root_relative_squared_error
0.3388512283964114
total_cost
0
unweighted_recall
0.9620032977586113 [0.973799,0.950207]
area_under_roc_curve
0.9963768115942029 [0.996377,0.996377]
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
0.9882246376811594 [0.988225,0.988225]
area_under_roc_curve
0.9902222222222223 [0.990222,0.990222]
area_under_roc_curve
0.9944444444444446 [0.994444,0.994444]
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
0.8845432896658757
kb_relative_information_score
0.9049723614592864
kb_relative_information_score
0.9216137278948424
kb_relative_information_score
0.9215835594147785
kb_relative_information_score
0.932734230636075
kb_relative_information_score
0.9189369280266306
kb_relative_information_score
0.8789015518876646
kb_relative_information_score
0.8522411275674798
kb_relative_information_score
0.8615292842199426
kb_relative_information_score
0.8771725677748542
mean_absolute_error
0.05459329968842671
mean_absolute_error
0.04566364807960407
mean_absolute_error
0.03645055771574779
mean_absolute_error
0.038137761314557726
mean_absolute_error
0.035281917508108995
mean_absolute_error
0.03848442039766261
mean_absolute_error
0.05870969220082263
mean_absolute_error
0.0672688691555652
mean_absolute_error
0.06536692729894507
mean_absolute_error
0.05782015695979676
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
0.1209541816737899
relative_absolute_error
0.10117009261631624
relative_absolute_error
0.08075803084304425
relative_absolute_error
0.08449611466973758
relative_absolute_error
0.07816885010488119
relative_absolute_error
0.0852641551793979
relative_absolute_error
0.1300742548444269
relative_absolute_error
0.14903753880547158
relative_absolute_error
0.14341851654635523
relative_absolute_error
0.1276683635528353
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
0.16108196863384228
root_mean_squared_error
0.17241794291625392
root_mean_squared_error
0.14011316104816587
root_mean_squared_error
0.11600555592961365
root_mean_squared_error
0.09980058027336411
root_mean_squared_error
0.14323367366549397
root_mean_squared_error
0.16161230154328612
root_mean_squared_error
0.20132963132332704
root_mean_squared_error
0.19931459633973492
root_mean_squared_error
0.18406711666369077
root_relative_squared_error
0.33935562013047826
root_relative_squared_error
0.36323741531225595
root_relative_squared_error
0.2951800816640401
root_relative_squared_error
0.24439195587782345
root_relative_squared_error
0.21025250743635143
root_relative_squared_error
0.30175414767130065
root_relative_squared_error
0.34047288641972395
root_relative_squared_error
0.4241464297203414
root_relative_squared_error
0.41584022829252787
root_relative_squared_error
0.3864621152233527
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
6.077555997762829
usercpu_time_millis
6.132047041319311
usercpu_time_millis
5.479412968270481
usercpu_time_millis
5.459442967548966
usercpu_time_millis
5.285934021230787
usercpu_time_millis
5.358521011658013
usercpu_time_millis
5.394231993705034
usercpu_time_millis
5.4770829738117754
usercpu_time_millis
5.312605935614556
usercpu_time_millis
5.391237966250628
usercpu_time_millis_testing
0.6674060132354498
usercpu_time_millis_testing
0.6975980359129608
usercpu_time_millis_testing
0.6512059480883181
usercpu_time_millis_testing
0.6508039659820497
usercpu_time_millis_testing
0.5800820072181523
usercpu_time_millis_testing
0.607181980740279
usercpu_time_millis_testing
0.5806820117868483
usercpu_time_millis_testing
0.6496179848909378
usercpu_time_millis_testing
0.5564089515246451
usercpu_time_millis_testing
0.6068740040063858
usercpu_time_millis_training
5.410149984527379
usercpu_time_millis_training
5.43444900540635
usercpu_time_millis_training
4.8282070201821625
usercpu_time_millis_training
4.808639001566917
usercpu_time_millis_training
4.705852014012635
usercpu_time_millis_training
4.751339030917734
usercpu_time_millis_training
4.813549981918186
usercpu_time_millis_training
4.827464988920838
usercpu_time_millis_training
4.756196984089911
usercpu_time_millis_training
4.784363962244242
wall_clock_time_millis
6.090641021728516
wall_clock_time_millis
6.140470504760742
wall_clock_time_millis
5.486249923706055
wall_clock_time_millis
5.4645538330078125
wall_clock_time_millis
5.298137664794922
wall_clock_time_millis
5.37109375
wall_clock_time_millis
5.404472351074219
wall_clock_time_millis
5.489349365234375
wall_clock_time_millis
5.321502685546875
wall_clock_time_millis
5.4035186767578125
wall_clock_time_millis_testing
0.6747245788574219
wall_clock_time_millis_testing
0.7028579711914062
wall_clock_time_millis_testing
0.6570816040039062
wall_clock_time_millis_testing
0.6561279296875
wall_clock_time_millis_testing
0.58746337890625
wall_clock_time_millis_testing
0.614166259765625
wall_clock_time_millis_testing
0.5860328674316406
wall_clock_time_millis_testing
0.6549358367919922
wall_clock_time_millis_testing
0.5617141723632812
wall_clock_time_millis_testing
0.6129741668701172
wall_clock_time_millis_training
5.415916442871094
wall_clock_time_millis_training
5.437612533569336
wall_clock_time_millis_training
4.829168319702148
wall_clock_time_millis_training
4.8084259033203125
wall_clock_time_millis_training
4.710674285888672
wall_clock_time_millis_training
4.756927490234375
wall_clock_time_millis_training
4.818439483642578
wall_clock_time_millis_training
4.834413528442383
wall_clock_time_millis_training
4.759788513183594
wall_clock_time_millis_training
4.790544509887695
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]