10559257
8323
Heinrich Peters
32
Supervised Classification
17494
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(4)
8270444
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
memory
null
17494
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": "svc", "step_name": "svc"}}]
17494
verbose
false
17494
C
1770.5746268532694
17495
cache_size
200
17495
class_weight
null
17495
coef0
0.0
17495
decision_function_shape
"ovr"
17495
degree
3
17495
gamma
0.00018316061302407925
17495
kernel
"rbf"
17495
max_iter
-1
17495
probability
true
17495
random_state
1
17495
shrinking
true
17495
tol
0.001
17495
verbose
false
17495
openml-python
Sklearn_0.21.2.
32
pendigits
https://www.openml.org/data/download/32/dataset_32_pendigits.arff
-1
22043479
description
https://api.openml.org/data/download/22043479/description.xml
-1
22043480
predictions
https://api.openml.org/data/download/22043480/predictions.arff
area_under_roc_curve
0.999392619627246 [0.999297,0.99955,0.999371,0.998433,0.999993,0.999647,0.999132,0.999939,0.999542,0.998922]
average_cost
0
f_measure
0.9888034339389373 [0.990342,0.978462,0.987784,0.989603,0.99738,0.985231,0.998108,0.989078,0.982987,0.989125]
kappa
0.9875645809793964
kb_relative_information_score
0.9796700940045716
mean_absolute_error
0.006728216538459606
mean_prior_absolute_error
0.17996797657803554
weighted_recall
0.9888100436681223 [0.986877,0.973753,0.98951,0.992417,0.998252,0.980095,0.999053,0.991243,0.985782,0.991469]
number_of_instances
10992 [1143,1143,1144,1055,1144,1055,1056,1142,1055,1055]
precision
0.9888153585363121 [0.993833,0.983216,0.986063,0.986805,0.99651,0.990421,0.997164,0.986922,0.980207,0.986792]
predictive_accuracy
0.9888100436681222
prior_entropy
3.320771739846944
relative_absolute_error
0.03738563196848634
root_mean_prior_squared_error
0.29997328837006915
root_mean_squared_error
0.04511037596739251
root_relative_squared_error
0.15038130965761534
total_cost
0
unweighted_recall
0.9888451655074896 [0.986877,0.973753,0.98951,0.992417,0.998252,0.980095,0.999053,0.991243,0.985782,0.991469]
area_under_roc_curve
0.9998288961420708 [1,0.999831,1,0.999751,1,0.999435,1,0.999982,0.999563,0.999668]
area_under_roc_curve
0.9986859975917676 [0.995789,0.998817,0.99495,0.999646,0.999991,0.999904,1,0.999884,0.99851,0.999753]
area_under_roc_curve
0.9982145686038727 [0.999982,0.999635,0.999081,0.993274,1,0.999253,1,0.999965,0.999042,0.991288]
area_under_roc_curve
0.9988425082474135 [1,0.999152,0.999813,0.999233,1,0.99886,0.991406,0.999859,0.999684,1]
area_under_roc_curve
0.9999558883997914 [0.999884,0.999973,0.999991,1,0.999991,0.999905,1,0.999991,0.999818,1]
area_under_roc_curve
0.9996614652413462 [0.997462,0.99985,0.999973,0.999981,1,0.999981,1,0.999991,0.999463,0.99999]
area_under_roc_curve
0.9999055671026159 [0.999947,0.999955,1,1,1,0.99962,1,0.999982,0.999626,0.999895]
area_under_roc_curve
0.9998776612829898 [0.999973,0.999555,0.99992,1,1,0.999971,1,0.999938,0.999905,0.999511]
area_under_roc_curve
0.9992039321680786 [0.999955,0.999288,0.999964,0.992932,1,0.999914,0.99999,0.999955,0.999962,0.999848]
area_under_roc_curve
0.9998481349703993 [0.999938,0.999466,0.999912,0.999818,0.999955,0.999856,1,0.999902,0.99999,0.999648]
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
0.992722155884486 [0.995671,0.991228,1,0.990476,0.995595,0.985646,1,0.991304,0.985782,0.990566]
f_measure
0.9845387179245875 [0.973214,0.978166,0.978166,0.990476,1,0.990476,1,0.982609,0.972222,0.981132]
f_measure
0.9863771545216321 [0.995633,0.977778,0.991304,0.967442,1,0.975845,1,0.991304,0.985782,0.976526]
f_measure
0.9908857967899012 [1,0.969163,0.991228,0.981132,1,0.985915,0.995215,0.991379,0.995215,1]
f_measure
0.9899677972720192 [0.9869,0.978166,0.991304,1,0.995633,0.981132,1,0.991304,0.975845,1]
f_measure
0.9900046127147226 [0.977974,0.991379,0.99115,0.995261,0.995671,0.995261,1,0.99115,0.971698,0.990566]
f_measure
0.9909158642826155 [0.991228,0.982759,0.99115,1,1,0.985646,1,0.99115,0.976303,0.990566]
f_measure
0.9890426157552742 [0.995633,0.973214,0.982609,1,0.995633,0.985782,0.995305,0.991304,0.985782,0.985646]
f_measure
0.9872526967518459 [0.99115,0.977974,0.982609,0.981132,1,0.985507,0.995305,0.982301,0.986047,0.990654]
f_measure
0.9862918196463857 [0.995595,0.963964,0.978541,0.990476,0.991304,0.980952,0.995305,0.9869,0.995305,0.985782]
kappa
0.9919176036429564
kappa
0.9828258068426761
kappa
0.9848320902732156
kappa
0.9898878089670016
kappa
0.9888764261021668
kappa
0.9888768559659119
kappa
0.9898880880941668
kappa
0.9878656833834023
kappa
0.9858437922369955
kappa
0.984832160053145
kb_relative_information_score
0.9822767181311892
kb_relative_information_score
0.972306940586768
kb_relative_information_score
0.9789812098087803
kb_relative_information_score
0.9802941811424115
kb_relative_information_score
0.9819323623637272
kb_relative_information_score
0.9820145746885653
kb_relative_information_score
0.9810029860235647
kb_relative_information_score
0.9810163800403919
kb_relative_information_score
0.9799057550825288
kb_relative_information_score
0.9769741776503996
mean_absolute_error
0.006171110203813776
mean_absolute_error
0.008351486107042377
mean_absolute_error
0.0065848763868438425
mean_absolute_error
0.006271092409305351
mean_absolute_error
0.006432374199485292
mean_absolute_error
0.005946545070296355
mean_absolute_error
0.006520150813913942
mean_absolute_error
0.006447814370093443
mean_absolute_error
0.006826352687584653
mean_absolute_error
0.007729393014984938
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
0.9927490584128515 [0.991379,0.991228,1,0.990476,1,0.990385,1,0.982759,0.990476,0.990566]
precision
0.984765532196929 [1,0.973913,0.982456,0.990476,1,0.990476,1,0.974138,0.954545,0.981132]
precision
0.9865907131835306 [1,0.990991,0.991304,0.945455,1,0.990196,1,0.991304,0.981132,0.971963]
precision
0.990951212885129 [1,0.982143,0.991228,0.971963,1,0.981308,1,0.982906,1,1]
precision
0.9900267526817417 [0.982609,0.982456,0.982759,1,1,0.981132,1,0.982759,0.990196,1]
precision
0.9901157953971877 [0.982301,0.982906,1,1,0.991379,1,1,1,0.962617,0.981308]
precision
0.9910839656821668 [0.991228,0.966102,1,1,1,1,1,1,0.971698,0.981308]
precision
0.9891245835807694 [0.991304,0.990909,0.974138,1,0.991304,0.990476,0.990654,0.982759,0.990476,0.990385]
precision
0.9873931933747031 [1,0.982301,0.974138,0.981132,1,1,0.990654,0.991071,0.972477,0.981481]
precision
0.9864487545058492 [1,0.990741,0.966102,0.990476,0.982759,0.980952,0.990654,0.982609,0.990654,0.990476]
predictive_accuracy
0.9927272727272727
predictive_accuracy
0.9845454545454545
predictive_accuracy
0.986351228389445
predictive_accuracy
0.9909008189262967
predictive_accuracy
0.9899909008189263
predictive_accuracy
0.9899909008189263
predictive_accuracy
0.9909008189262967
predictive_accuracy
0.989080982711556
predictive_accuracy
0.9872611464968153
predictive_accuracy
0.986351228389445
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
0.034290043624527505
relative_absolute_error
0.04640539764840671
relative_absolute_error
0.036589597289402816
relative_absolute_error
0.03484602175365864
relative_absolute_error
0.03574191613718424
relative_absolute_error
0.03304237418673899
relative_absolute_error
0.036229363048925954
relative_absolute_error
0.03582713092337847
relative_absolute_error
0.037930470300389166
relative_absolute_error
0.042948544240746414
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
0.040219306325707985
root_mean_squared_error
0.056138807135824684
root_mean_squared_error
0.04854564349874287
root_mean_squared_error
0.04610867784692093
root_mean_squared_error
0.03910817321834996
root_mean_squared_error
0.041376347301011786
root_mean_squared_error
0.04171118331153264
root_mean_squared_error
0.042528454505515935
root_mean_squared_error
0.04455313550328005
root_mean_squared_error
0.04818765934593011
root_relative_squared_error
0.13407628293538018
root_relative_squared_error
0.1871460071499648
root_relative_squared_error
0.16183517250699522
root_relative_squared_error
0.15371113236183906
root_relative_squared_error
0.1303727151144627
root_relative_squared_error
0.13793399934673486
root_relative_squared_error
0.1390491114305104
root_relative_squared_error
0.14177242091835843
root_relative_squared_error
0.14852187678215395
root_relative_squared_error
0.16063920229554168
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
0.9925582824986996 [1,0.991228,1,0.990476,0.991228,0.980952,1,1,0.981132,0.990566]
unweighted_recall
0.9848073835121027 [0.947826,0.982456,0.973913,0.990476,1,0.990476,1,0.991228,0.990566,0.981132]
unweighted_recall
0.9862814542508858 [0.991304,0.964912,0.991304,0.990476,1,0.961905,1,0.991304,0.990476,0.981132]
unweighted_recall
0.9909744418470294 [1,0.956522,0.991228,0.990476,1,0.990566,0.990476,1,0.990476,1]
unweighted_recall
0.9899482298856246 [0.991228,0.973913,1,1,0.991304,0.981132,1,1,0.961905,1]
unweighted_recall
0.990068094765215 [0.973684,1,0.982456,0.990566,1,0.990566,1,0.982456,0.980952,1]
unweighted_recall
0.9908790845037121 [0.991228,1,0.982456,1,1,0.971698,1,0.982456,0.980952,1]
unweighted_recall
0.9890584952948409 [1,0.95614,0.991228,1,1,0.981132,1,1,0.981132,0.980952]
unweighted_recall
0.9873613278479217 [0.982456,0.973684,0.991228,0.981132,1,0.971429,1,0.973684,1,1]
unweighted_recall
0.9864917626305305 [0.991228,0.938596,0.991304,0.990476,1,0.980952,1,0.991228,1,0.981132]
usercpu_time_millis
3051.9799999997304
usercpu_time_millis
2859.6340000003693
usercpu_time_millis
2859.204000000318
usercpu_time_millis
2931.897999999819
usercpu_time_millis
2971.2620000000243
usercpu_time_millis
3030.485999999655
usercpu_time_millis
2964.2699999999422
usercpu_time_millis
2904.3900000001486
usercpu_time_millis
2794.06199999994
usercpu_time_millis
2959.3559999998433
usercpu_time_millis_testing
71.89199999993434
usercpu_time_millis_testing
66.0400000001573
usercpu_time_millis_testing
67.71800000024086
usercpu_time_millis_testing
69.08999999996013
usercpu_time_millis_testing
74.2299999997158
usercpu_time_millis_testing
68.55399999994916
usercpu_time_millis_testing
68.09800000019095
usercpu_time_millis_testing
67.27399999999761
usercpu_time_millis_testing
66.35599999981423
usercpu_time_millis_testing
67.39199999992707
usercpu_time_millis_training
2980.087999999796
usercpu_time_millis_training
2793.594000000212
usercpu_time_millis_training
2791.486000000077
usercpu_time_millis_training
2862.807999999859
usercpu_time_millis_training
2897.0320000003085
usercpu_time_millis_training
2961.931999999706
usercpu_time_millis_training
2896.1719999997513
usercpu_time_millis_training
2837.116000000151
usercpu_time_millis_training
2727.7060000001256
usercpu_time_millis_training
2891.9639999999163
wall_clock_time_millis
1537.9400253295898
wall_clock_time_millis
1436.4588260650635
wall_clock_time_millis
1438.4338855743408
wall_clock_time_millis
1488.722324371338
wall_clock_time_millis
1494.8248863220215
wall_clock_time_millis
1543.8008308410645
wall_clock_time_millis
1499.068260192871
wall_clock_time_millis
1457.0608139038086
wall_clock_time_millis
1401.4761447906494
wall_clock_time_millis
1488.5179996490479
wall_clock_time_millis_testing
36.29302978515625
wall_clock_time_millis_testing
33.1730842590332
wall_clock_time_millis_testing
34.028053283691406
wall_clock_time_millis_testing
34.86323356628418
wall_clock_time_millis_testing
37.7659797668457
wall_clock_time_millis_testing
34.301042556762695
wall_clock_time_millis_testing
38.0091667175293
wall_clock_time_millis_testing
33.70785713195801
wall_clock_time_millis_testing
33.19215774536133
wall_clock_time_millis_testing
33.718109130859375
wall_clock_time_millis_training
1501.6469955444336
wall_clock_time_millis_training
1403.2857418060303
wall_clock_time_millis_training
1404.4058322906494
wall_clock_time_millis_training
1453.8590908050537
wall_clock_time_millis_training
1457.0589065551758
wall_clock_time_millis_training
1509.4997882843018
wall_clock_time_millis_training
1461.0590934753418
wall_clock_time_millis_training
1423.3529567718506
wall_clock_time_millis_training
1368.283987045288
wall_clock_time_millis_training
1454.7998905181885
weighted_recall
0.9927272727272727 [1,0.991228,1,0.990476,0.991228,0.980952,1,1,0.981132,0.990566]
weighted_recall
0.9845454545454545 [0.947826,0.982456,0.973913,0.990476,1,0.990476,1,0.991228,0.990566,0.981132]
weighted_recall
0.986351228389445 [0.991304,0.964912,0.991304,0.990476,1,0.961905,1,0.991304,0.990476,0.981132]
weighted_recall
0.9909008189262967 [1,0.956522,0.991228,0.990476,1,0.990566,0.990476,1,0.990476,1]
weighted_recall
0.9899909008189263 [0.991228,0.973913,1,1,0.991304,0.981132,1,1,0.961905,1]
weighted_recall
0.9899909008189263 [0.973684,1,0.982456,0.990566,1,0.990566,1,0.982456,0.980952,1]
weighted_recall
0.9909008189262967 [0.991228,1,0.982456,1,1,0.971698,1,0.982456,0.980952,1]
weighted_recall
0.989080982711556 [1,0.95614,0.991228,1,1,0.981132,1,1,0.981132,0.980952]
weighted_recall
0.9872611464968153 [0.982456,0.973684,0.991228,0.981132,1,0.971429,1,0.973684,1,1]
weighted_recall
0.986351228389445 [0.991228,0.938596,0.991304,0.990476,1,0.980952,1,0.991228,1,0.981132]