10558635
8323
Heinrich Peters
32
Supervised Classification
18591
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(1)
8275573
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
1.0
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.
32
pendigits
https://www.openml.org/data/download/32/dataset_32_pendigits.arff
-1
22042234
description
https://api.openml.org/data/download/22042234/description.xml
-1
22042235
predictions
https://api.openml.org/data/download/22042235/predictions.arff
area_under_roc_curve
0.9934754098193778 [0.988981,0.988328,0.998671,0.997852,0.999406,0.985574,0.999105,0.9934,0.990568,0.992735]
average_cost
0
f_measure
0.9303526308607069 [0.938577,0.877812,0.965041,0.969725,0.978686,0.854831,0.985822,0.94591,0.894938,0.887541]
kappa
0.9227613613845712
kb_relative_information_score
0.8916274556405682
mean_absolute_error
0.0340771735908037
mean_prior_absolute_error
0.17996797657803554
weighted_recall
0.9304949053857351 [0.929134,0.870516,0.977273,0.98673,0.983392,0.851185,0.987689,0.926445,0.888152,0.901422]
number_of_instances
10992 [1143,1143,1144,1055,1144,1055,1056,1142,1055,1055]
precision
0.9304757106496816 [0.948214,0.885231,0.953112,0.953297,0.974026,0.858509,0.983962,0.96621,0.901829,0.874081]
predictive_accuracy
0.9304949053857351
prior_entropy
3.320771739846944
relative_absolute_error
0.1893513181553584
root_mean_prior_squared_error
0.29997328837006915
root_mean_squared_error
0.11191156647588929
root_relative_squared_error
0.3730717727700706
total_cost
0
unweighted_recall
0.9301936758632248 [0.929134,0.870516,0.977273,0.98673,0.983392,0.851185,0.987689,0.926445,0.888152,0.901422]
area_under_roc_curve
0.9947008874546792 [0.991145,0.991895,0.999285,0.999675,0.999573,0.987566,0.999962,0.993746,0.992056,0.991914]
area_under_roc_curve
0.9900780574314957 [0.970355,0.987038,0.995639,0.997444,0.999582,0.977497,0.999962,0.990258,0.989873,0.993783]
area_under_roc_curve
0.993627520226145 [0.992939,0.993232,0.999417,0.999032,0.999599,0.980981,0.999981,0.99248,0.992373,0.985464]
area_under_roc_curve
0.9944279965509999 [0.992288,0.987619,0.998379,0.997499,0.999558,0.994062,0.991913,0.995705,0.99085,0.996292]
area_under_roc_curve
0.993713899751552 [0.988058,0.993779,0.999421,0.999477,0.999514,0.986737,0.999981,0.995173,0.984488,0.989834]
area_under_roc_curve
0.9932693894193373 [0.985662,0.987893,0.999795,0.999743,0.999903,0.984875,0.999818,0.989304,0.991674,0.994357]
area_under_roc_curve
0.9942924008560151 [0.989652,0.989491,0.999448,0.999325,0.999903,0.986889,0.999876,0.994675,0.988924,0.99451]
area_under_roc_curve
0.9947458948466114 [0.997863,0.983044,0.999252,0.999971,0.998068,0.984961,0.999848,0.998299,0.991345,0.994596]
area_under_roc_curve
0.9926851070823286 [0.993178,0.99056,0.998691,0.987868,0.999991,0.978902,0.999924,0.99235,0.991896,0.992504]
area_under_roc_curve
0.9938118114893052 [0.991166,0.980337,0.998065,0.999233,0.998539,0.993111,0.999981,0.992662,0.991564,0.994091]
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
0.9307856390812519 [0.925764,0.891775,0.970213,0.971963,0.977974,0.872549,0.980952,0.951111,0.889952,0.87037]
f_measure
0.9152909268578711 [0.9375,0.837838,0.932773,0.962963,0.982456,0.807512,0.985915,0.926606,0.907407,0.867925]
f_measure
0.9336249165287889 [0.92511,0.89083,0.969957,0.95814,0.986784,0.886792,0.990566,0.945455,0.86385,0.914286]
f_measure
0.9381600976638204 [0.943231,0.866953,0.964912,0.985782,0.982609,0.897196,0.985782,0.938053,0.908213,0.909091]
f_measure
0.9298572765485129 [0.939655,0.898678,0.970213,0.971698,0.978166,0.84507,0.995215,0.950673,0.878049,0.86385]
f_measure
0.9291489278464081 [0.945946,0.878261,0.977974,0.981132,0.978723,0.837209,0.971154,0.921053,0.90566,0.889952]
f_measure
0.9367905633240742 [0.951542,0.889908,0.978355,0.967742,0.982759,0.861244,0.985915,0.951111,0.884615,0.908257]
f_measure
0.9386309584737889 [0.951965,0.896861,0.982609,0.986047,0.973684,0.825243,0.986047,0.973684,0.932692,0.87037]
f_measure
0.9222689539200252 [0.924444,0.877637,0.956522,0.958525,0.991304,0.821782,0.985915,0.93578,0.868293,0.895928]
f_measure
0.9287343734806098 [0.940639,0.847926,0.947826,0.954128,0.95279,0.892019,0.990566,0.964602,0.909953,0.885845]
kappa
0.9232163883413821
kappa
0.9060539634115543
kappa
0.9261873217407306
kappa
0.9312364682640825
kappa
0.9221356991758382
kappa
0.9211262888447644
kappa
0.930232493950741
kappa
0.9322524966095426
kappa
0.9140493023837827
kappa
0.9211375359826897
kb_relative_information_score
0.8947065684174409
kb_relative_information_score
0.8812146274414299
kb_relative_information_score
0.891055559347267
kb_relative_information_score
0.9010853576768781
kb_relative_information_score
0.8915422881680481
kb_relative_information_score
0.890258386309846
kb_relative_information_score
0.8963561032225317
kb_relative_information_score
0.896296452555008
kb_relative_information_score
0.8833354164276909
kb_relative_information_score
0.8904309853150043
mean_absolute_error
0.03316905512034325
mean_absolute_error
0.03616016429527809
mean_absolute_error
0.03444790258218087
mean_absolute_error
0.03188919657163456
mean_absolute_error
0.03397751791479923
mean_absolute_error
0.03380955693803026
mean_absolute_error
0.03344596596774239
mean_absolute_error
0.03363788927447624
mean_absolute_error
0.035874797620487134
mean_absolute_error
0.03435862058554607
mean_prior_absolute_error
0.17996798929120086
mean_prior_absolute_error
0.17996798929120086
mean_prior_absolute_error
0.17996580653132724
mean_prior_absolute_error
0.17996580653132724
mean_prior_absolute_error
0.17996724559468558
mean_prior_absolute_error
0.17996724559468558
mean_prior_absolute_error
0.1799686846580439
mean_prior_absolute_error
0.1799701568033185
mean_prior_absolute_error
0.1799701568033185
mean_prior_absolute_error
0.1799686846580439
number_of_instances
1100 [115,114,115,105,114,105,106,114,106,106]
number_of_instances
1100 [115,114,115,105,114,105,106,114,106,106]
number_of_instances
1099 [115,114,115,105,114,105,105,115,105,106]
number_of_instances
1099 [114,115,114,105,115,106,105,115,105,105]
number_of_instances
1099 [114,115,114,106,115,106,105,114,105,105]
number_of_instances
1099 [114,115,114,106,115,106,105,114,105,105]
number_of_instances
1099 [114,114,114,106,115,106,106,114,105,105]
number_of_instances
1099 [114,114,114,106,114,106,106,114,106,105]
number_of_instances
1099 [114,114,114,106,114,105,106,114,106,106]
number_of_instances
1099 [114,114,115,105,114,105,106,114,106,106]
precision
0.9311470387330565 [0.929825,0.880342,0.95,0.954128,0.982301,0.89899,0.990385,0.963964,0.902913,0.854545]
precision
0.9162573219649843 [0.963303,0.861111,0.902439,0.936937,0.982456,0.796296,0.981308,0.971154,0.890909,0.867925]
precision
0.9343382424113961 [0.9375,0.886957,0.957627,0.936364,0.99115,0.878505,0.981308,0.990476,0.851852,0.923077]
precision
0.9383539747652055 [0.93913,0.855932,0.964912,0.981132,0.982609,0.888889,0.981132,0.954955,0.921569,0.913462]
precision
0.9302914928945958 [0.923729,0.910714,0.942149,0.971698,0.982456,0.841121,1,0.972477,0.9,0.851852]
precision
0.9295795328715639 [0.972222,0.878261,0.982301,0.981132,0.958333,0.825688,0.980583,0.921053,0.897196,0.894231]
precision
0.9372304755476569 [0.955752,0.932692,0.965812,0.945946,0.974359,0.873786,0.981308,0.963964,0.893204,0.876106]
precision
0.9387434323171089 [0.947826,0.917431,0.974138,0.972477,0.973684,0.85,0.972477,0.973684,0.95098,0.846847]
precision
0.9234496351139584 [0.936937,0.845528,0.948276,0.936937,0.982759,0.85567,0.981308,0.980769,0.89899,0.86087]
precision
0.9297908030770661 [0.980952,0.893204,0.947826,0.920354,0.932773,0.87963,0.990566,0.973214,0.914286,0.858407]
predictive_accuracy
0.9309090909090909
predictive_accuracy
0.9154545454545455
predictive_accuracy
0.9335759781619655
predictive_accuracy
0.9381255686988171
predictive_accuracy
0.9299363057324841
predictive_accuracy
0.9290263876251137
predictive_accuracy
0.9372156505914468
predictive_accuracy
0.9390354868061874
predictive_accuracy
0.9226569608735214
predictive_accuracy
0.9290263876251137
prior_entropy
3.3207726565016804
prior_entropy
3.3207726565016804
prior_entropy
3.320615093773185
prior_entropy
3.320615093773185
prior_entropy
3.3207190205874304
prior_entropy
3.3207190205874304
prior_entropy
3.320822852867135
prior_entropy
3.3209290746720725
prior_entropy
3.3209290746720725
prior_entropy
3.3208228528671353
relative_absolute_error
0.18430530479880727
relative_absolute_error
0.20092553368904068
relative_absolute_error
0.19141359820585924
relative_absolute_error
0.17719586396032128
relative_absolute_error
0.18879834384597916
relative_absolute_error
0.1878650574792631
relative_absolute_error
0.18584325395994652
relative_absolute_error
0.1869081511732949
relative_absolute_error
0.19933748048957436
relative_absolute_error
0.19091443964726657
root_mean_prior_squared_error
0.29997330956058954
root_mean_prior_squared_error
0.29997330956058954
root_mean_prior_squared_error
0.29996967128171426
root_mean_prior_squared_error
0.29996967128171426
root_mean_prior_squared_error
0.29997206995355086
root_mean_prior_squared_error
0.29997206995355086
root_mean_prior_squared_error
0.2999744686062071
root_mean_prior_squared_error
0.29997692238045737
root_mean_prior_squared_error
0.29997692238045737
root_mean_prior_squared_error
0.2999744686062071
root_mean_squared_error
0.11007311413754019
root_mean_squared_error
0.120494602186663
root_mean_squared_error
0.11213981491481437
root_mean_squared_error
0.1062005760659741
root_mean_squared_error
0.11202629526900826
root_mean_squared_error
0.11222371265228268
root_mean_squared_error
0.10909723959722724
root_mean_squared_error
0.10812087109966999
root_mean_squared_error
0.11656066103229056
root_mean_squared_error
0.11148467459678782
root_relative_squared_error
0.36694302669387086
root_relative_squared_error
0.4016844110669957
root_relative_squared_error
0.37383717639073955
root_relative_squared_error
0.3540377119200048
root_relative_squared_error
0.37345575301845585
root_relative_squared_error
0.37411387223370474
root_relative_squared_error
0.36368841689805664
root_relative_squared_error
0.3604306299353972
root_relative_squared_error
0.38856542732463256
root_relative_squared_error
0.371647210893604
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
0.9302777246644093 [0.921739,0.903509,0.991304,0.990476,0.973684,0.847619,0.971698,0.938596,0.877358,0.886792]
unweighted_recall
0.9155014073329344 [0.913043,0.815789,0.965217,0.990476,0.982456,0.819048,0.990566,0.885965,0.924528,0.867925]
unweighted_recall
0.9335234312195583 [0.913043,0.894737,0.982609,0.980952,0.982456,0.895238,1,0.904348,0.87619,0.90566]
unweighted_recall
0.9381502155717432 [0.947368,0.878261,0.964912,0.990476,0.982609,0.90566,0.990476,0.921739,0.895238,0.904762]
unweighted_recall
0.9291398718288748 [0.95614,0.886957,1,0.971698,0.973913,0.849057,0.990476,0.929825,0.857143,0.87619]
unweighted_recall
0.9286143784399474 [0.921053,0.878261,0.973684,0.981132,1,0.849057,0.961905,0.921053,0.914286,0.885714]
unweighted_recall
0.9368610821557587 [0.947368,0.850877,0.991228,0.990566,0.991304,0.849057,0.990566,0.938596,0.87619,0.942857]
unweighted_recall
0.938414905187497 [0.95614,0.877193,0.991228,1,0.973684,0.801887,1,0.973684,0.915094,0.895238]
unweighted_recall
0.9219969735659905 [0.912281,0.912281,0.964912,0.981132,1,0.790476,0.990566,0.894737,0.839623,0.933962]
unweighted_recall
0.929473581410458 [0.903509,0.807018,0.947826,0.990476,0.973684,0.904762,0.990566,0.95614,0.90566,0.915094]
usercpu_time_millis
615.9399999996822
usercpu_time_millis
898.6299999996845
usercpu_time_millis
896.9139999994695
usercpu_time_millis
886.8539999998575
usercpu_time_millis
838.2619999997587
usercpu_time_millis
898.0540000002293
usercpu_time_millis
881.8599999999606
usercpu_time_millis
863.5659999999916
usercpu_time_millis
903.4959999999046
usercpu_time_millis
880.402000000231
usercpu_time_millis_testing
1.4099999998506973
usercpu_time_millis_testing
1.467999999931635
usercpu_time_millis_testing
1.5359999997599516
usercpu_time_millis_testing
1.4519999999720312
usercpu_time_millis_testing
1.4080000000831205
usercpu_time_millis_testing
1.4439999999922293
usercpu_time_millis_testing
1.4240000000427244
usercpu_time_millis_testing
1.5260000000125729
usercpu_time_millis_testing
1.4059999998607964
usercpu_time_millis_testing
1.4220000002751476
usercpu_time_millis_training
614.5299999998315
usercpu_time_millis_training
897.1619999997529
usercpu_time_millis_training
895.3779999997096
usercpu_time_millis_training
885.4019999998854
usercpu_time_millis_training
836.8539999996756
usercpu_time_millis_training
896.610000000237
usercpu_time_millis_training
880.4359999999178
usercpu_time_millis_training
862.039999999979
usercpu_time_millis_training
902.0900000000438
usercpu_time_millis_training
878.9799999999559
wall_clock_time_millis
309.68379974365234
wall_clock_time_millis
330.13439178466797
wall_clock_time_millis
323.90618324279785
wall_clock_time_millis
325.38509368896484
wall_clock_time_millis
330.39069175720215
wall_clock_time_millis
325.1688480377197
wall_clock_time_millis
321.4991092681885
wall_clock_time_millis
316.73717498779297
wall_clock_time_millis
335.48808097839355
wall_clock_time_millis
319.91124153137207
wall_clock_time_millis_testing
0.6346702575683594
wall_clock_time_millis_testing
0.6651878356933594
wall_clock_time_millis_testing
0.7011890411376953
wall_clock_time_millis_testing
0.6511211395263672
wall_clock_time_millis_testing
0.637054443359375
wall_clock_time_millis_testing
0.6499290466308594
wall_clock_time_millis_testing
0.6430149078369141
wall_clock_time_millis_testing
0.6961822509765625
wall_clock_time_millis_testing
0.6380081176757812
wall_clock_time_millis_testing
0.6461143493652344
wall_clock_time_millis_training
309.049129486084
wall_clock_time_millis_training
329.4692039489746
wall_clock_time_millis_training
323.20499420166016
wall_clock_time_millis_training
324.7339725494385
wall_clock_time_millis_training
329.7536373138428
wall_clock_time_millis_training
324.51891899108887
wall_clock_time_millis_training
320.85609436035156
wall_clock_time_millis_training
316.0409927368164
wall_clock_time_millis_training
334.8500728607178
wall_clock_time_millis_training
319.26512718200684
weighted_recall
0.9309090909090909 [0.921739,0.903509,0.991304,0.990476,0.973684,0.847619,0.971698,0.938596,0.877358,0.886792]
weighted_recall
0.9154545454545454 [0.913043,0.815789,0.965217,0.990476,0.982456,0.819048,0.990566,0.885965,0.924528,0.867925]
weighted_recall
0.9335759781619655 [0.913043,0.894737,0.982609,0.980952,0.982456,0.895238,1,0.904348,0.87619,0.90566]
weighted_recall
0.9381255686988171 [0.947368,0.878261,0.964912,0.990476,0.982609,0.90566,0.990476,0.921739,0.895238,0.904762]
weighted_recall
0.9299363057324841 [0.95614,0.886957,1,0.971698,0.973913,0.849057,0.990476,0.929825,0.857143,0.87619]
weighted_recall
0.9290263876251137 [0.921053,0.878261,0.973684,0.981132,1,0.849057,0.961905,0.921053,0.914286,0.885714]
weighted_recall
0.9372156505914467 [0.947368,0.850877,0.991228,0.990566,0.991304,0.849057,0.990566,0.938596,0.87619,0.942857]
weighted_recall
0.9390354868061874 [0.95614,0.877193,0.991228,1,0.973684,0.801887,1,0.973684,0.915094,0.895238]
weighted_recall
0.9226569608735213 [0.912281,0.912281,0.964912,0.981132,1,0.790476,0.990566,0.894737,0.839623,0.933962]
weighted_recall
0.9290263876251137 [0.903509,0.807018,0.947826,0.990476,0.973684,0.904762,0.990566,0.95614,0.90566,0.915094]