10557885
8323
Heinrich Peters
43
Supervised Classification
18591
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(1)
8275910
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
100000.0
17462
class_weight
null
17462
dual
false
17462
fit_intercept
true
17462
intercept_scaling
1
17462
l1_ratio
null
17462
max_iter
67
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.
44
spambase
https://www.openml.org/data/download/44/dataset_44_spambase.arff
-1
22040730
description
https://api.openml.org/data/download/22040730/description.xml
-1
22040731
predictions
https://api.openml.org/data/download/22040731/predictions.arff
area_under_roc_curve
0.9719986214657255 [0.971999,0.971999]
average_cost
0
f_measure
0.9278090368442123 [0.941343,0.906996]
kappa
0.848373495601288
kb_relative_information_score
0.7666773796614127
mean_absolute_error
0.11909700067274741
mean_prior_absolute_error
0.4775567355102225
weighted_recall
0.9280591175831341 [0.952654,0.890237]
number_of_instances
4601 [2788,1813]
precision
0.9279732146149066 [0.930298,0.924399]
predictive_accuracy
0.9280591175831341
prior_entropy
0.9673602435836202
relative_absolute_error
0.2493881706966272
root_mean_prior_squared_error
0.48864454562025317
root_mean_squared_error
0.2416089888990635
root_relative_squared_error
0.4944473259030876
total_cost
0
unweighted_recall
0.9214457041880695 [0.952654,0.890237]
area_under_roc_curve
0.975205797786443 [0.975206,0.975206]
area_under_roc_curve
0.973792394655704 [0.973792,0.973792]
area_under_roc_curve
0.9792869001502096 [0.979287,0.979287]
area_under_roc_curve
0.9862373512346779 [0.986237,0.986237]
area_under_roc_curve
0.9648507891245371 [0.964851,0.964851]
area_under_roc_curve
0.9731875878730272 [0.973188,0.973188]
area_under_roc_curve
0.9606724885641299 [0.960672,0.960672]
area_under_roc_curve
0.9756232796689044 [0.975623,0.975623]
area_under_roc_curve
0.9741579041169132 [0.974158,0.974158]
area_under_roc_curve
0.9614051763401256 [0.961405,0.961405]
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
0.9193592987183162 [0.934744,0.895775]
f_measure
0.9347826086956522 [0.946043,0.917582]
f_measure
0.9390096618357489 [0.95,0.922222]
f_measure
0.9519714988286536 [0.961131,0.937853]
f_measure
0.8992122819709026 [0.91958,0.867816]
f_measure
0.9282256752683523 [0.940966,0.908587]
f_measure
0.9304347826086956 [0.942652,0.911602]
f_measure
0.9213163864610588 [0.93662,0.897727]
f_measure
0.9324360186579844 [0.944938,0.913165]
f_measure
0.9210203743871352 [0.937282,0.895954]
kappa
0.8305870901741108
kappa
0.8636255830500436
kappa
0.8722323625109119
kappa
0.899016105534157
kappa
0.7876056451127216
kappa
0.8495540138751239
kappa
0.8542545396938552
kappa
0.8344298026355257
kappa
0.8581207466072351
kappa
0.8334506688122297
kb_relative_information_score
0.7572855294939715
kb_relative_information_score
0.7750443077886483
kb_relative_information_score
0.7973629301838575
kb_relative_information_score
0.7974939511140989
kb_relative_information_score
0.7290675130984277
kb_relative_information_score
0.7698292388308664
kb_relative_information_score
0.7618751409710662
kb_relative_information_score
0.7532348884086092
kb_relative_information_score
0.7662201446837245
kb_relative_information_score
0.7593340340231385
mean_absolute_error
0.12359933288560802
mean_absolute_error
0.11622383023908237
mean_absolute_error
0.10478105756973523
mean_absolute_error
0.10538291302266847
mean_absolute_error
0.13349733779925854
mean_absolute_error
0.11781674456274856
mean_absolute_error
0.12075279748264357
mean_absolute_error
0.1258081247913982
mean_absolute_error
0.12052666827970315
mean_absolute_error
0.12257141241590785
mean_prior_absolute_error
0.47771541996330835
mean_prior_absolute_error
0.4778972125929219
mean_prior_absolute_error
0.4778972125929219
mean_prior_absolute_error
0.4774367378552744
mean_prior_absolute_error
0.4774367378552744
mean_prior_absolute_error
0.4774367378552744
mean_prior_absolute_error
0.4774367378552744
mean_prior_absolute_error
0.4774367378552744
mean_prior_absolute_error
0.4774367378552744
mean_prior_absolute_error
0.4774367378552744
number_of_instances
461 [279,182]
number_of_instances
460 [278,182]
number_of_instances
460 [278,182]
number_of_instances
460 [279,181]
number_of_instances
460 [279,181]
number_of_instances
460 [279,181]
number_of_instances
460 [279,181]
number_of_instances
460 [279,181]
number_of_instances
460 [279,181]
number_of_instances
460 [279,181]
precision
0.9197189290684991 [0.920139,0.919075]
precision
0.9347826086956522 [0.946043,0.917582]
precision
0.9390375813766557 [0.943262,0.932584]
precision
0.9523791718368122 [0.947735,0.959538]
precision
0.9002002820297971 [0.897611,0.904192]
precision
0.9281996204278813 [0.939286,0.911111]
precision
0.9304347826086956 [0.942652,0.911602]
precision
0.9218165518102964 [0.920415,0.923977]
precision
0.9324947461448533 [0.93662,0.926136]
precision
0.9226966793952792 [0.911864,0.939394]
predictive_accuracy
0.9197396963123644
predictive_accuracy
0.9347826086956522
predictive_accuracy
0.9391304347826087
predictive_accuracy
0.9521739130434783
predictive_accuracy
0.9
predictive_accuracy
0.9282608695652174
predictive_accuracy
0.9304347826086956
predictive_accuracy
0.9217391304347826
predictive_accuracy
0.9326086956521739
predictive_accuracy
0.9217391304347826
prior_entropy
0.9678251482974407
prior_entropy
0.9683577540367926
prior_entropy
0.9683577540367926
prior_entropy
0.9670086812574452
prior_entropy
0.9670086812574452
prior_entropy
0.9670086812574452
prior_entropy
0.9670086812574452
prior_entropy
0.9670086812574452
prior_entropy
0.9670086812574452
prior_entropy
0.9670086812574452
relative_absolute_error
0.2587300466355079
relative_absolute_error
0.24319838487545875
relative_absolute_error
0.2192543810858945
relative_absolute_error
0.22072644324788687
relative_absolute_error
0.27961262134738707
relative_absolute_error
0.2467693313505807
relative_absolute_error
0.2529189480162028
relative_absolute_error
0.2635074237406809
relative_absolute_error
0.2524453162551526
relative_absolute_error
0.25672807033350453
root_mean_prior_squared_error
0.48880689072220973
root_mean_prior_squared_error
0.48899281083378704
root_mean_prior_squared_error
0.48899281083378704
root_mean_prior_squared_error
0.488521743947473
root_mean_prior_squared_error
0.488521743947473
root_mean_prior_squared_error
0.488521743947473
root_mean_prior_squared_error
0.488521743947473
root_mean_prior_squared_error
0.488521743947473
root_mean_prior_squared_error
0.488521743947473
root_mean_prior_squared_error
0.488521743947473
root_mean_squared_error
0.24487545823312587
root_mean_squared_error
0.2301380066425602
root_mean_squared_error
0.22097403669004492
root_mean_squared_error
0.21110490993528258
root_mean_squared_error
0.2711285861155021
root_mean_squared_error
0.23925455151650998
root_mean_squared_error
0.2549389880606202
root_mean_squared_error
0.2429612049708265
root_mean_squared_error
0.23720122220545306
root_mean_squared_error
0.25764583325916435
root_relative_squared_error
0.5009656428356065
root_relative_squared_error
0.47063678962917543
root_relative_squared_error
0.45189628925885367
root_relative_squared_error
0.4321300178564439
root_relative_squared_error
0.5549979903139266
root_relative_squared_error
0.489752103116694
root_relative_squared_error
0.5218580159822566
root_relative_squared_error
0.4973395923129068
root_relative_squared_error
0.4855489548709986
root_relative_squared_error
0.5273989058854809
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
0.9117235810784198 [0.949821,0.873626]
unweighted_recall
0.9318127915250217 [0.946043,0.917582]
unweighted_recall
0.9344612222310065 [0.956835,0.912088]
unweighted_recall
0.9460187330442187 [0.97491,0.917127]
unweighted_recall
0.8884532366977564 [0.942652,0.834254]
unweighted_recall
0.9243648389077012 [0.942652,0.906077]
unweighted_recall
0.9271272698469277 [0.942652,0.911602]
unweighted_recall
0.9131665973583636 [0.953405,0.872928]
unweighted_recall
0.9269787520544961 [0.953405,0.900552]
unweighted_recall
0.9102556486267055 [0.964158,0.856354]
usercpu_time_millis
585.8319999988453
usercpu_time_millis
717.6939999990282
usercpu_time_millis
1122.6859999997032
usercpu_time_millis
1028.6180000002787
usercpu_time_millis
797.7779999991981
usercpu_time_millis
952.9759999986709
usercpu_time_millis
1177.0660000001953
usercpu_time_millis
1129.6140000004016
usercpu_time_millis
762.2480000009091
usercpu_time_millis
791.9780000001992
usercpu_time_millis_testing
1.3499999995474354
usercpu_time_millis_testing
2.2139999991850345
usercpu_time_millis_testing
1.3339999995878316
usercpu_time_millis_testing
1.3399999998000567
usercpu_time_millis_testing
1.3739999994868413
usercpu_time_millis_testing
1.3039999994362006
usercpu_time_millis_testing
1.336000000264903
usercpu_time_millis_testing
1.4680000003863825
usercpu_time_millis_testing
1.3260000005175243
usercpu_time_millis_testing
1.352000000224507
usercpu_time_millis_training
584.4819999992978
usercpu_time_millis_training
715.4799999998431
usercpu_time_millis_training
1121.3520000001154
usercpu_time_millis_training
1027.2780000004786
usercpu_time_millis_training
796.4039999997112
usercpu_time_millis_training
951.6719999992347
usercpu_time_millis_training
1175.7299999999304
usercpu_time_millis_training
1128.1460000000152
usercpu_time_millis_training
760.9220000003916
usercpu_time_millis_training
790.6259999999747
wall_clock_time_millis
296.8630790710449
wall_clock_time_millis
199.4009017944336
wall_clock_time_millis
399.4929790496826
wall_clock_time_millis
357.48887062072754
wall_clock_time_millis
242.07806587219238
wall_clock_time_millis
322.4799633026123
wall_clock_time_millis
430.1419258117676
wall_clock_time_millis
407.9091548919678
wall_clock_time_millis
219.79808807373047
wall_clock_time_millis
234.33303833007812
wall_clock_time_millis_testing
0.6501674652099609
wall_clock_time_millis_testing
1.0378360748291016
wall_clock_time_millis_testing
0.6439685821533203
wall_clock_time_millis_testing
0.6477832794189453
wall_clock_time_millis_testing
0.6630420684814453
wall_clock_time_millis_testing
0.6270408630371094
wall_clock_time_millis_testing
0.6568431854248047
wall_clock_time_millis_testing
0.7121562957763672
wall_clock_time_millis_testing
0.6411075592041016
wall_clock_time_millis_testing
0.6520748138427734
wall_clock_time_millis_training
296.21291160583496
wall_clock_time_millis_training
198.3630657196045
wall_clock_time_millis_training
398.8490104675293
wall_clock_time_millis_training
356.8410873413086
wall_clock_time_millis_training
241.41502380371094
wall_clock_time_millis_training
321.8529224395752
wall_clock_time_millis_training
429.4850826263428
wall_clock_time_millis_training
407.1969985961914
wall_clock_time_millis_training
219.15698051452637
wall_clock_time_millis_training
233.68096351623535
weighted_recall
0.9197396963123644 [0.949821,0.873626]
weighted_recall
0.9347826086956522 [0.946043,0.917582]
weighted_recall
0.9391304347826087 [0.956835,0.912088]
weighted_recall
0.9521739130434783 [0.97491,0.917127]
weighted_recall
0.9 [0.942652,0.834254]
weighted_recall
0.9282608695652174 [0.942652,0.906077]
weighted_recall
0.9304347826086956 [0.942652,0.911602]
weighted_recall
0.9217391304347826 [0.953405,0.872928]
weighted_recall
0.9326086956521739 [0.953405,0.900552]
weighted_recall
0.9217391304347826 [0.964158,0.856354]