10559256
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)
8270480
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
1.0167588209539864
17495
cache_size
200
17495
class_weight
null
17495
coef0
-0.6354734369237474
17495
decision_function_shape
"ovr"
17495
degree
3
17495
gamma
0.0003345572257968965
17495
kernel
"poly"
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
22043477
description
https://api.openml.org/data/download/22043477/description.xml
-1
22043478
predictions
https://api.openml.org/data/download/22043478/predictions.arff
area_under_roc_curve
0.990770012316289 [0.988889,0.964826,0.993275,0.997942,0.997867,0.98969,0.999213,0.994039,0.987012,0.996181]
average_cost
0
f_measure
0.895794897839583 [0.923814,0.713722,0.868191,0.960682,0.970097,0.858423,0.98142,0.910014,0.854808,0.924436]
kappa
0.8836325678946193
kb_relative_information_score
0.8766760657159541
mean_absolute_error
0.03497204022515257
mean_prior_absolute_error
0.17996797657803554
weighted_recall
0.8952874818049491 [0.928259,0.712161,0.912587,0.961137,0.964161,0.908057,0.975379,0.863398,0.842654,0.892891]
number_of_instances
10992 [1143,1143,1144,1055,1144,1055,1056,1142,1055,1055]
precision
0.8980535859848612 [0.919411,0.71529,0.827914,0.960227,0.976106,0.813934,0.987536,0.961951,0.867317,0.958291]
predictive_accuracy
0.895287481804949
prior_entropy
3.320771739846944
relative_absolute_error
0.19432368408047537
root_mean_prior_squared_error
0.29997328837006915
root_mean_squared_error
0.12399241939373147
root_relative_squared_error
0.4133448683629633
total_cost
0
unweighted_recall
0.8960683871787612 [0.928259,0.712161,0.912587,0.961137,0.964161,0.908057,0.975379,0.863398,0.842654,0.892891]
area_under_roc_curve
0.9929035985483696 [0.994138,0.97396,0.993882,0.999311,0.998986,0.993204,0.999934,0.995703,0.986978,0.993575]
area_under_roc_curve
0.988047083873806 [0.975652,0.955767,0.988665,0.997875,0.999377,0.987203,0.999801,0.988986,0.99328,0.99646]
area_under_roc_curve
0.9912027149459943 [0.990836,0.969142,0.99483,0.996915,0.997649,0.984699,0.999904,0.994821,0.990457,0.993435]
area_under_roc_curve
0.9912016628920322 [0.991219,0.970979,0.992332,0.99749,0.995095,0.995202,0.993705,0.993081,0.984929,0.999224]
area_under_roc_curve
0.9905372054509992 [0.982527,0.973604,0.995057,0.999677,0.996677,0.989901,0.999933,0.995191,0.980646,0.993006]
area_under_roc_curve
0.991254142425626 [0.988788,0.960401,0.995031,0.99962,0.99932,0.988067,0.999847,0.991424,0.994395,0.997643]
area_under_roc_curve
0.9906578765443257 [0.987684,0.960326,0.993597,0.999259,0.999797,0.989844,0.999819,0.993107,0.98581,0.998697]
area_under_roc_curve
0.9913853726069576 [0.99805,0.959462,0.993481,0.999477,0.994942,0.986775,0.999876,0.996322,0.990984,0.995631]
area_under_roc_curve
0.9909186987051067 [0.991059,0.970042,0.992867,0.991155,0.999858,0.991156,0.999724,0.99528,0.983175,0.995288]
area_under_roc_curve
0.9898036818918321 [0.99203,0.953691,0.993717,0.999013,0.996999,0.990275,0.99981,0.995948,0.979061,0.998803]
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
0.9014719984432262 [0.909091,0.738197,0.881633,0.966184,0.96,0.900474,0.990566,0.916667,0.862745,0.897561]
f_measure
0.8799845341867879 [0.920354,0.678571,0.819672,0.966825,0.977778,0.824561,0.980769,0.886792,0.849057,0.904762]
f_measure
0.8991885689699658 [0.919643,0.740426,0.89916,0.951923,0.973214,0.846847,0.985782,0.903226,0.86385,0.912621]
f_measure
0.8958729717546268 [0.926407,0.717949,0.865546,0.961538,0.974138,0.88,0.980769,0.891892,0.835821,0.934673]
f_measure
0.9041921251441338 [0.917749,0.756522,0.903766,0.962617,0.968889,0.837838,0.980769,0.949772,0.846154,0.920792]
f_measure
0.8950680786321428 [0.938596,0.715517,0.863248,0.976303,0.956897,0.862069,0.966507,0.888889,0.879227,0.913706]
f_measure
0.9002123386804501 [0.938053,0.678571,0.852459,0.95283,0.973684,0.875,0.981308,0.910798,0.894231,0.956098]
f_measure
0.8963202558970763 [0.92827,0.690909,0.866667,0.962617,0.96861,0.837004,0.985782,0.926606,0.879227,0.925373]
f_measure
0.8977005526116852 [0.9163,0.738197,0.869198,0.95814,0.974138,0.894009,0.976077,0.895238,0.826291,0.936585]
f_measure
0.8876348428374612 [0.924444,0.675926,0.861789,0.947867,0.973684,0.830357,0.985646,0.928571,0.811594,0.942308]
kappa
0.8898624796649761
kappa
0.8656463256611845
kappa
0.8867517966449134
kappa
0.8836970685238081
kappa
0.8928109723051612
kappa
0.8826990157442278
kappa
0.888773881321391
kappa
0.8847265376649593
kappa
0.8857385494269308
kappa
0.8756257722957114
kb_relative_information_score
0.8815774681042566
kb_relative_information_score
0.8638781380968785
kb_relative_information_score
0.8789930726070093
kb_relative_information_score
0.8818232953161059
kb_relative_information_score
0.8799915801690404
kb_relative_information_score
0.8778109593106812
kb_relative_information_score
0.8770605348005794
kb_relative_information_score
0.8770806381918451
kb_relative_information_score
0.8749571833435152
kb_relative_information_score
0.8735955011137219
mean_absolute_error
0.03316126765811662
mean_absolute_error
0.03731411991572016
mean_absolute_error
0.03443536667789697
mean_absolute_error
0.034132657757959595
mean_absolute_error
0.03416927918350041
mean_absolute_error
0.035237582500649914
mean_absolute_error
0.03480906231390005
mean_absolute_error
0.03522560798236465
mean_absolute_error
0.03554273524225962
mean_absolute_error
0.03569223957318629
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
0.9043917883138991 [0.866142,0.722689,0.830769,0.980392,0.972973,0.896226,0.990566,0.970588,0.897959,0.929293]
precision
0.8837155854968881 [0.936937,0.690909,0.775194,0.962264,0.990991,0.764228,1,0.959184,0.849057,0.913462]
precision
0.9021981497661592 [0.944954,0.719008,0.869919,0.961165,0.990909,0.803419,0.981132,0.960784,0.851852,0.94]
precision
0.8985094242302716 [0.91453,0.705882,0.830645,0.970874,0.965812,0.831933,0.990291,0.925234,0.875,0.989362]
precision
0.9063527362559579 [0.905983,0.756522,0.864,0.953704,0.990909,0.801724,0.990291,0.990476,0.854369,0.958763]
precision
0.8984538949749709 [0.938596,0.709402,0.841667,0.980952,0.948718,0.793651,0.971154,0.941176,0.892157,0.978261]
precision
0.9029238799606311 [0.946429,0.690909,0.8,0.95283,0.982301,0.830508,0.972222,0.979798,0.902913,0.98]
precision
0.898978965732419 [0.894309,0.716981,0.825397,0.953704,0.990826,0.785124,0.990476,0.971154,0.90099,0.96875]
precision
0.9004583940365268 [0.920354,0.722689,0.837398,0.944954,0.957627,0.866071,0.990291,0.979167,0.82243,0.969697]
precision
0.8893096267522597 [0.936937,0.715686,0.80916,0.943396,0.973684,0.781513,1,0.945455,0.831683,0.960784]
predictive_accuracy
0.9009090909090909
predictive_accuracy
0.879090909090909
predictive_accuracy
0.8980891719745223
predictive_accuracy
0.8953594176524113
predictive_accuracy
0.9035486806187443
predictive_accuracy
0.8944494995450409
predictive_accuracy
0.8999090081892629
predictive_accuracy
0.8962693357597815
predictive_accuracy
0.8971792538671519
predictive_accuracy
0.8880800727934486
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
0.18426203342450725
relative_absolute_error
0.20733753854049727
relative_absolute_error
0.19134394106084088
relative_absolute_error
0.18966190531320745
relative_absolute_error
0.18986387812177213
relative_absolute_error
0.19579997673582486
relative_absolute_error
0.193417329131678
relative_absolute_error
0.19573027333004536
relative_absolute_error
0.19749238359059007
relative_absolute_error
0.19832472322062386
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
0.12221215134740468
root_mean_squared_error
0.13295000580555194
root_mean_squared_error
0.12260539436583606
root_mean_squared_error
0.12174660243006667
root_mean_squared_error
0.12182039182662863
root_mean_squared_error
0.1216970848470595
root_mean_squared_error
0.1233373196457402
root_mean_squared_error
0.12219654328014572
root_mean_squared_error
0.1245638765027836
root_mean_squared_error
0.12634490916335014
root_relative_squared_error
0.40741008433858644
root_relative_squared_error
0.4432061172385681
root_relative_squared_error
0.4087259683352859
root_relative_squared_error
0.40586303911947574
root_relative_squared_error
0.4061057812665422
root_relative_squared_error
0.40569471973141924
root_relative_squared_error
0.4111593903934933
root_relative_squared_error
0.40735314673695205
root_relative_squared_error
0.41524486455261594
root_relative_squared_error
0.4211855420576143
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
0.901164971493541 [0.956522,0.754386,0.93913,0.952381,0.947368,0.904762,0.990566,0.868421,0.830189,0.867925]
unweighted_recall
0.8804267230833442 [0.904348,0.666667,0.869565,0.971429,0.964912,0.895238,0.962264,0.824561,0.849057,0.896226]
unweighted_recall
0.8989113472771347 [0.895652,0.763158,0.930435,0.942857,0.95614,0.895238,0.990476,0.852174,0.87619,0.886792]
unweighted_recall
0.8959504380310909 [0.938596,0.730435,0.903509,0.952381,0.982609,0.933962,0.971429,0.86087,0.8,0.885714]
unweighted_recall
0.9038116209309164 [0.929825,0.756522,0.947368,0.971698,0.947826,0.877358,0.971429,0.912281,0.838095,0.885714]
unweighted_recall
0.8954431813742726 [0.938596,0.721739,0.885965,0.971698,0.965217,0.943396,0.961905,0.842105,0.866667,0.857143]
unweighted_recall
0.9011838661460873 [0.929825,0.666667,0.912281,0.95283,0.965217,0.924528,0.990566,0.850877,0.885714,0.933333]
unweighted_recall
0.8970454437981747 [0.964912,0.666667,0.912281,0.971698,0.947368,0.896226,0.981132,0.885965,0.858491,0.885714]
unweighted_recall
0.8979585756844944 [0.912281,0.754386,0.903509,0.971698,0.991228,0.92381,0.962264,0.824561,0.830189,0.90566]
unweighted_recall
0.8887110105041109 [0.912281,0.640351,0.921739,0.952381,0.973684,0.885714,0.971698,0.912281,0.792453,0.924528]
usercpu_time_millis
16708.513999999923
usercpu_time_millis
16705.850000000282
usercpu_time_millis
16600.864
usercpu_time_millis
16746.557999999823
usercpu_time_millis
16713.69199999981
usercpu_time_millis
16663.864000000103
usercpu_time_millis
16609.989999999925
usercpu_time_millis
16678.472000000056
usercpu_time_millis
16675.127999999404
usercpu_time_millis
16591.942000000017
usercpu_time_millis_testing
430.95199999970646
usercpu_time_millis_testing
426.1300000002848
usercpu_time_millis_testing
432.20000000019354
usercpu_time_millis_testing
427.4619999996503
usercpu_time_millis_testing
427.8079999999136
usercpu_time_millis_testing
469.97800000008283
usercpu_time_millis_testing
440.92799999998533
usercpu_time_millis_testing
432.9760000000533
usercpu_time_millis_testing
432.74799999971947
usercpu_time_millis_testing
428.2459999999446
usercpu_time_millis_training
16277.562000000216
usercpu_time_millis_training
16279.719999999998
usercpu_time_millis_training
16168.663999999808
usercpu_time_millis_training
16319.096000000172
usercpu_time_millis_training
16285.883999999896
usercpu_time_millis_training
16193.88600000002
usercpu_time_millis_training
16169.06199999994
usercpu_time_millis_training
16245.496000000003
usercpu_time_millis_training
16242.379999999685
usercpu_time_millis_training
16163.696000000073
wall_clock_time_millis
8425.803184509277
wall_clock_time_millis
8435.147762298584
wall_clock_time_millis
8356.05001449585
wall_clock_time_millis
8473.749160766602
wall_clock_time_millis
8424.545288085938
wall_clock_time_millis
8422.69492149353
wall_clock_time_millis
8383.059978485107
wall_clock_time_millis
8394.726753234863
wall_clock_time_millis
8420.418977737427
wall_clock_time_millis
8365.783214569092
wall_clock_time_millis_testing
224.8551845550537
wall_clock_time_millis_testing
213.48977088928223
wall_clock_time_millis_testing
216.8290615081787
wall_clock_time_millis_testing
223.88100624084473
wall_clock_time_millis_testing
214.54906463623047
wall_clock_time_millis_testing
235.5809211730957
wall_clock_time_millis_testing
222.8679656982422
wall_clock_time_millis_testing
216.98689460754395
wall_clock_time_millis_testing
216.8738842010498
wall_clock_time_millis_testing
214.59102630615234
wall_clock_time_millis_training
8200.947999954224
wall_clock_time_millis_training
8221.657991409302
wall_clock_time_millis_training
8139.220952987671
wall_clock_time_millis_training
8249.868154525757
wall_clock_time_millis_training
8209.996223449707
wall_clock_time_millis_training
8187.114000320435
wall_clock_time_millis_training
8160.192012786865
wall_clock_time_millis_training
8177.739858627319
wall_clock_time_millis_training
8203.545093536377
wall_clock_time_millis_training
8151.192188262939
weighted_recall
0.9009090909090909 [0.956522,0.754386,0.93913,0.952381,0.947368,0.904762,0.990566,0.868421,0.830189,0.867925]
weighted_recall
0.8790909090909091 [0.904348,0.666667,0.869565,0.971429,0.964912,0.895238,0.962264,0.824561,0.849057,0.896226]
weighted_recall
0.8980891719745223 [0.895652,0.763158,0.930435,0.942857,0.95614,0.895238,0.990476,0.852174,0.87619,0.886792]
weighted_recall
0.8953594176524113 [0.938596,0.730435,0.903509,0.952381,0.982609,0.933962,0.971429,0.86087,0.8,0.885714]
weighted_recall
0.9035486806187443 [0.929825,0.756522,0.947368,0.971698,0.947826,0.877358,0.971429,0.912281,0.838095,0.885714]
weighted_recall
0.8944494995450409 [0.938596,0.721739,0.885965,0.971698,0.965217,0.943396,0.961905,0.842105,0.866667,0.857143]
weighted_recall
0.899909008189263 [0.929825,0.666667,0.912281,0.95283,0.965217,0.924528,0.990566,0.850877,0.885714,0.933333]
weighted_recall
0.8962693357597816 [0.964912,0.666667,0.912281,0.971698,0.947368,0.896226,0.981132,0.885965,0.858491,0.885714]
weighted_recall
0.8971792538671519 [0.912281,0.754386,0.903509,0.971698,0.991228,0.92381,0.962264,0.824561,0.830189,0.90566]
weighted_recall
0.8880800727934486 [0.912281,0.640351,0.921739,0.952381,0.973684,0.885714,0.971698,0.912281,0.792453,0.924528]