10558346
8323
Heinrich Peters
9981
Supervised Classification
18591
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(1)
8275911
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
100
17462
class_weight
null
17462
dual
false
17462
fit_intercept
true
17462
intercept_scaling
1
17462
l1_ratio
null
17462
max_iter
10000
17462
multi_class
"warn"
17462
n_jobs
null
17462
penalty
"l2"
17462
random_state
1
17462
solver
"lbfgs"
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.
1468
cnae-9
https://www.openml.org/data/download/1586233/phpmcGu2X
-1
22041655
description
https://api.openml.org/data/download/22041655/description.xml
-1
22041656
predictions
https://api.openml.org/data/download/22041656/predictions.arff
area_under_roc_curve
0.9914207175925925 [0.999323,0.999549,0.986806,0.968976,0.999948,0.996641,0.997483,0.998984,0.975078]
average_cost
0
f_measure
0.9284540125658671 [0.958678,0.966102,0.923077,0.861925,0.987552,0.900398,0.928,0.983193,0.847162]
kappa
0.9197916666666668
kb_relative_information_score
0.9264089268926728
mean_absolute_error
0.01824152483385123
mean_prior_absolute_error
0.197530864197526
weighted_recall
0.9287037037037037 [0.966667,0.95,0.9,0.858333,0.991667,0.941667,0.966667,0.975,0.808333]
number_of_instances
1080 [120,120,120,120,120,120,120,120,120]
precision
0.9295889777228404 [0.95082,0.982759,0.947368,0.865546,0.983471,0.862595,0.892308,0.991525,0.889908]
predictive_accuracy
0.9287037037037037
prior_entropy
3.1699250014422624
relative_absolute_error
0.09234771947137413
root_mean_prior_squared_error
0.3142696805273506
root_mean_squared_error
0.11504509810782622
root_relative_squared_error
0.3660712605644245
total_cost
0
unweighted_recall
0.9287037037037036 [0.966667,0.95,0.9,0.858333,0.991667,0.941667,0.966667,0.975,0.808333]
area_under_roc_curve
0.9953703703703703 [1,1,0.993056,0.977431,1,0.996528,0.997396,0.996528,0.997396]
area_under_roc_curve
0.9845679012345678 [0.999132,1,0.977431,0.992188,1,0.997396,0.997396,1,0.897569]
area_under_roc_curve
0.995949074074074 [1,0.998264,0.990451,0.987847,1,0.999132,0.997396,0.999132,0.991319]
area_under_roc_curve
0.9931520061728394 [1,1,0.974826,0.977431,1,0.989583,0.996528,1,1]
area_under_roc_curve
0.9854359567901234 [1,1,0.949653,0.927951,1,0.998264,0.999132,1,0.993924]
area_under_roc_curve
0.9976851851851852 [1,1,0.999132,0.985243,1,1,1,1,0.994792]
area_under_roc_curve
0.9850501543209877 [0.998264,1,0.997396,0.972222,1,0.99566,0.99566,1,0.90625]
area_under_roc_curve
0.9975887345679013 [1,1,1,0.988715,1,0.997396,1,1,0.992188]
area_under_roc_curve
0.9929591049382716 [0.997396,0.999132,1,0.959201,1,0.997396,0.994792,1,0.988715]
area_under_roc_curve
0.9891010802469137 [1,0.999132,0.991319,0.923611,1,0.997396,0.998264,1,0.992188]
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
0.9267481579075783 [1,1,0.869565,0.8,1,0.916667,0.888889,0.956522,0.909091]
f_measure
0.8941775905896477 [0.96,1,0.909091,0.827586,0.956522,0.846154,0.916667,1,0.631579]
f_measure
0.9452988825452594 [1,0.956522,0.916667,0.88,1,0.956522,0.888889,1,0.909091]
f_measure
0.9361222030787248 [1,1,0.88,0.833333,1,0.846154,0.956522,1,0.909091]
f_measure
0.9251935021500239 [1,0.96,0.857143,0.916667,1,0.88,0.923077,0.956522,0.833333]
f_measure
0.9331169742763946 [0.96,1,0.923077,0.8,1,0.888889,0.956522,1,0.869565]
f_measure
0.9167847557702631 [0.869565,0.956522,0.956522,0.869565,0.96,0.888889,0.916667,1,0.833333]
f_measure
0.944689706428837 [0.96,0.956522,0.956522,0.88,1,0.923077,1,0.956522,0.869565]
f_measure
0.9353250453250453 [0.88,0.909091,1,0.909091,1,0.916667,0.923077,1,0.88]
f_measure
0.9264888573584226 [0.956522,0.916667,0.956522,0.909091,0.96,0.956522,0.923077,0.96,0.8]
kappa
0.9166666666666667
kappa
0.8854166666666666
kappa
0.9375
kappa
0.9270833333333335
kappa
0.9166666666666667
kappa
0.9270833333333335
kappa
0.9062500000000001
kappa
0.9375
kappa
0.9270833333333335
kappa
0.9166666666666667
kb_relative_information_score
0.9158393393723255
kb_relative_information_score
0.8990416067138163
kb_relative_information_score
0.9319440230004343
kb_relative_information_score
0.9343255156226971
kb_relative_information_score
0.9292342861540205
kb_relative_information_score
0.9312038262154071
kb_relative_information_score
0.9178868479591331
kb_relative_information_score
0.9479399187120384
kb_relative_information_score
0.9348850701437642
kb_relative_information_score
0.9217888350329256
mean_absolute_error
0.02105286277916867
mean_absolute_error
0.02444284685770653
mean_absolute_error
0.01688863651643891
mean_absolute_error
0.0163326455929104
mean_absolute_error
0.01659763030738934
mean_absolute_error
0.016968101402335938
mean_absolute_error
0.019840297484088717
mean_absolute_error
0.014564494278896674
mean_absolute_error
0.0165346922960191
mean_absolute_error
0.019193040823558168
mean_prior_absolute_error
0.1975308641975314
mean_prior_absolute_error
0.1975308641975314
mean_prior_absolute_error
0.1975308641975314
mean_prior_absolute_error
0.1975308641975314
mean_prior_absolute_error
0.1975308641975314
mean_prior_absolute_error
0.1975308641975314
mean_prior_absolute_error
0.1975308641975314
mean_prior_absolute_error
0.1975308641975314
mean_prior_absolute_error
0.1975308641975314
mean_prior_absolute_error
0.1975308641975314
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
precision
0.9327764827764826 [1,1,0.909091,0.769231,1,0.916667,0.8,1,1]
precision
0.9098314539491009 [0.923077,1,1,0.705882,1,0.785714,0.916667,1,0.857143]
precision
0.9514245014245014 [1,1,0.916667,0.846154,1,1,0.8,1,1]
precision
0.9405779405779405 [1,1,0.846154,0.833333,1,0.785714,1,1,1]
precision
0.9307081807081806 [1,0.923077,1,0.916667,1,0.846154,0.857143,1,0.833333]
precision
0.9432567432567432 [0.923077,1,0.857143,1,1,0.8,1,1,0.909091]
precision
0.9212509712509713 [0.909091,1,1,0.909091,0.923077,0.8,0.916667,1,0.833333]
precision
0.9483849483849484 [0.923077,1,1,0.846154,1,0.857143,1,1,0.909091]
precision
0.9406796906796907 [0.846154,1,1,1,1,0.916667,0.857143,1,0.846154]
precision
0.9321326821326822 [1,0.916667,1,1,0.923077,1,0.857143,0.923077,0.769231]
predictive_accuracy
0.9259259259259259
predictive_accuracy
0.8981481481481481
predictive_accuracy
0.9444444444444444
predictive_accuracy
0.9351851851851852
predictive_accuracy
0.9259259259259259
predictive_accuracy
0.9351851851851852
predictive_accuracy
0.9166666666666667
predictive_accuracy
0.9444444444444444
predictive_accuracy
0.9351851851851852
predictive_accuracy
0.9259259259259259
prior_entropy
3.169925001442319
prior_entropy
3.169925001442319
prior_entropy
3.169925001442319
prior_entropy
3.169925001442319
prior_entropy
3.169925001442319
prior_entropy
3.169925001442319
prior_entropy
3.169925001442319
prior_entropy
3.169925001442319
prior_entropy
3.169925001442319
prior_entropy
3.169925001442319
relative_absolute_error
0.10658011781954109
relative_absolute_error
0.12374191221713898
relative_absolute_error
0.08549872236447176
relative_absolute_error
0.08268401831410868
relative_absolute_error
0.0840255034311583
relative_absolute_error
0.08590101334932544
relative_absolute_error
0.10044150601319884
relative_absolute_error
0.07373275228691421
relative_absolute_error
0.08370687974859647
relative_absolute_error
0.09716476916926295
root_mean_prior_squared_error
0.3142696805273549
root_mean_prior_squared_error
0.3142696805273549
root_mean_prior_squared_error
0.3142696805273549
root_mean_prior_squared_error
0.3142696805273549
root_mean_prior_squared_error
0.3142696805273549
root_mean_prior_squared_error
0.3142696805273549
root_mean_prior_squared_error
0.3142696805273549
root_mean_prior_squared_error
0.3142696805273549
root_mean_prior_squared_error
0.3142696805273549
root_mean_prior_squared_error
0.3142696805273549
root_mean_squared_error
0.12517392062014662
root_mean_squared_error
0.13767441656693133
root_mean_squared_error
0.11140441699036302
root_mean_squared_error
0.11066816561716245
root_mean_squared_error
0.11253139605970253
root_mean_squared_error
0.107176702301266
root_mean_squared_error
0.12229175263599236
root_mean_squared_error
0.09669774029820508
root_mean_squared_error
0.1071117519959761
root_mean_squared_error
0.11464636857471855
root_relative_squared_error
0.3983009764419548
root_relative_squared_error
0.4380773109767036
root_relative_squared_error
0.3544866841860873
root_relative_squared_error
0.35214394666217125
root_relative_squared_error
0.3580727096259211
root_relative_squared_error
0.3410341784209663
root_relative_squared_error
0.38912997407444067
root_relative_squared_error
0.3076903255062438
root_relative_squared_error
0.34082750781506843
root_relative_squared_error
0.3648025109591806
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
0.925925925925926 [1,1,0.833333,0.833333,1,0.916667,1,0.916667,0.833333]
unweighted_recall
0.8981481481481483 [1,1,0.833333,1,0.916667,0.916667,0.916667,1,0.5]
unweighted_recall
0.9444444444444444 [1,0.916667,0.916667,0.916667,1,0.916667,1,1,0.833333]
unweighted_recall
0.9351851851851853 [1,1,0.916667,0.833333,1,0.916667,0.916667,1,0.833333]
unweighted_recall
0.925925925925926 [1,1,0.75,0.916667,1,0.916667,1,0.916667,0.833333]
unweighted_recall
0.9351851851851851 [1,1,1,0.666667,1,1,0.916667,1,0.833333]
unweighted_recall
0.9166666666666666 [0.833333,0.916667,0.916667,0.833333,1,1,0.916667,1,0.833333]
unweighted_recall
0.9444444444444444 [1,0.916667,0.916667,0.916667,1,1,1,0.916667,0.833333]
unweighted_recall
0.9351851851851853 [0.916667,0.833333,1,0.833333,1,0.916667,1,1,0.916667]
unweighted_recall
0.925925925925926 [0.916667,0.916667,0.916667,0.833333,1,0.916667,1,1,0.833333]
usercpu_time_millis
2339.110000000801
usercpu_time_millis
2375.23799999326
usercpu_time_millis
2568.4820000024047
usercpu_time_millis
2569.6099999986473
usercpu_time_millis
2070.822000001499
usercpu_time_millis
2439.333999995142
usercpu_time_millis
2069.517999996606
usercpu_time_millis
2504.741999990074
usercpu_time_millis
1981.6159999973024
usercpu_time_millis
2506.5900000045076
usercpu_time_millis_testing
7.929999999760184
usercpu_time_millis_testing
4.825999996683095
usercpu_time_millis_testing
8.368000002519693
usercpu_time_millis_testing
6.59799999993993
usercpu_time_millis_testing
7.0800000030430965
usercpu_time_millis_testing
8.591999998316169
usercpu_time_millis_testing
5.787999994936399
usercpu_time_millis_testing
4.755999994813465
usercpu_time_millis_testing
7.296000003407244
usercpu_time_millis_testing
6.584000002476387
usercpu_time_millis_training
2331.1800000010408
usercpu_time_millis_training
2370.411999996577
usercpu_time_millis_training
2560.113999999885
usercpu_time_millis_training
2563.0119999987073
usercpu_time_millis_training
2063.741999998456
usercpu_time_millis_training
2430.741999996826
usercpu_time_millis_training
2063.7300000016694
usercpu_time_millis_training
2499.9859999952605
usercpu_time_millis_training
1974.3199999938952
usercpu_time_millis_training
2500.006000002031
wall_clock_time_millis
1538.064956665039
wall_clock_time_millis
1730.7689189910889
wall_clock_time_millis
1816.3652420043945
wall_clock_time_millis
1857.1970462799072
wall_clock_time_millis
1850.4981994628906
wall_clock_time_millis
1948.030948638916
wall_clock_time_millis
1438.1439685821533
wall_clock_time_millis
2082.317113876343
wall_clock_time_millis
1756.805181503296
wall_clock_time_millis
2240.9021854400635
wall_clock_time_millis_testing
3.2567977905273438
wall_clock_time_millis_testing
3.2279491424560547
wall_clock_time_millis_testing
5.557060241699219
wall_clock_time_millis_testing
3.898143768310547
wall_clock_time_millis_testing
3.6759376525878906
wall_clock_time_millis_testing
3.0088424682617188
wall_clock_time_millis_testing
2.546072006225586
wall_clock_time_millis_testing
2.5870800018310547
wall_clock_time_millis_testing
6.259918212890625
wall_clock_time_millis_testing
2.8171539306640625
wall_clock_time_millis_training
1534.8081588745117
wall_clock_time_millis_training
1727.5409698486328
wall_clock_time_millis_training
1810.8081817626953
wall_clock_time_millis_training
1853.2989025115967
wall_clock_time_millis_training
1846.8222618103027
wall_clock_time_millis_training
1945.0221061706543
wall_clock_time_millis_training
1435.5978965759277
wall_clock_time_millis_training
2079.7300338745117
wall_clock_time_millis_training
1750.5452632904053
wall_clock_time_millis_training
2238.0850315093994
weighted_recall
0.9259259259259259 [1,1,0.833333,0.833333,1,0.916667,1,0.916667,0.833333]
weighted_recall
0.8981481481481481 [1,1,0.833333,1,0.916667,0.916667,0.916667,1,0.5]
weighted_recall
0.9444444444444444 [1,0.916667,0.916667,0.916667,1,0.916667,1,1,0.833333]
weighted_recall
0.9351851851851852 [1,1,0.916667,0.833333,1,0.916667,0.916667,1,0.833333]
weighted_recall
0.9259259259259259 [1,1,0.75,0.916667,1,0.916667,1,0.916667,0.833333]
weighted_recall
0.9351851851851852 [1,1,1,0.666667,1,1,0.916667,1,0.833333]
weighted_recall
0.9166666666666666 [0.833333,0.916667,0.916667,0.833333,1,1,0.916667,1,0.833333]
weighted_recall
0.9444444444444444 [1,0.916667,0.916667,0.916667,1,1,1,0.916667,0.833333]
weighted_recall
0.9351851851851852 [0.916667,0.833333,1,0.833333,1,0.916667,1,1,0.916667]
weighted_recall
0.9259259259259259 [0.916667,0.916667,0.916667,0.833333,1,0.916667,1,1,0.833333]