10559247
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)
8270240
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
19123.80231242732
17495
cache_size
200
17495
class_weight
null
17495
coef0
-0.09813781928359377
17495
decision_function_shape
"ovr"
17495
degree
3
17495
gamma
1.2226691292578007
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
22043459
description
https://api.openml.org/data/download/22043459/description.xml
-1
22043460
predictions
https://api.openml.org/data/download/22043460/predictions.arff
area_under_roc_curve
0.9996474407791537 [0.999932,0.999845,0.999899,0.998443,0.999999,0.999664,0.999309,0.999974,0.999944,0.999347]
average_cost
0
f_measure
0.994633083239666 [0.997808,0.990385,0.994755,0.991939,0.99738,0.994307,0.998106,0.993001,0.99527,0.993359]
kappa
0.9940349996209605
kb_relative_information_score
0.9894400708421768
mean_absolute_error
0.0035439552314009658
mean_prior_absolute_error
0.17996797657803554
weighted_recall
0.9946324599708879 [0.995626,0.991251,0.994755,0.991469,0.998252,0.993365,0.998106,0.99387,0.997156,0.992417]
number_of_instances
10992 [1143,1143,1144,1055,1144,1055,1056,1142,1055,1055]
precision
0.9946362475422672 [1,0.98952,0.994755,0.99241,0.99651,0.995252,0.998106,0.992133,0.99339,0.994302]
predictive_accuracy
0.9946324599708879
prior_entropy
3.320771739846944
relative_absolute_error
0.0196921435623536
root_mean_prior_squared_error
0.29997328837006915
root_mean_squared_error
0.03069824763005451
root_relative_squared_error
0.10233660402516537
total_cost
0
unweighted_recall
0.9946267679773492 [0.995626,0.991251,0.994755,0.991469,0.998252,0.993365,0.998106,0.99387,0.997156,0.992417]
area_under_roc_curve
0.9997112164572224 [1,0.999982,1,0.999952,1,0.997569,1,1,0.999535,0.999943]
area_under_roc_curve
0.9999068913562655 [0.999514,0.999849,0.99985,0.999962,0.999991,0.999971,1,0.999991,1,0.999972]
area_under_roc_curve
0.9987826131267025 [0.999991,0.99984,0.999152,0.994232,1,0.999914,1,0.999867,0.999875,0.994547]
area_under_roc_curve
0.9992985792077781 [1,0.999929,0.999991,0.999952,1,0.999487,0.993418,0.99992,0.999981,1]
area_under_roc_curve
0.9999861330523256 [1,0.999903,1,1,1,1,1,0.999964,1,1]
area_under_roc_curve
0.9999944619775377 [0.999982,0.999973,1,0.99999,1,1,1,1,1,1]
area_under_roc_curve
0.9999953885686526 [1,0.999973,1,1,1,0.99999,1,0.999991,1,1]
area_under_roc_curve
0.9999787615454067 [1,0.999813,0.999991,1,1,1,1,1,1,0.99999]
area_under_roc_curve
0.9990510154314615 [1,0.999305,1,0.991155,1,1,1,1,1,0.999753]
area_under_roc_curve
0.9999596299291525 [1,0.999911,1,0.999741,1,0.999943,1,0.999991,1,1]
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
0.9963590140357622 [1,0.995633,1,0.990476,1,0.990385,1,1,0.995305,0.990566]
f_measure
0.9918254651160756 [0.995633,0.982609,0.982609,0.990476,0.995595,0.985646,1,0.995633,1,0.990566]
f_measure
0.9927208246243248 [0.995633,0.991228,0.991304,0.990476,1,0.995261,1,0.991304,0.985782,0.985782]
f_measure
0.9936375541413284 [1,0.995633,0.995633,0.990476,1,0.990566,0.995215,0.982759,0.985646,1]
f_measure
0.9963717334855532 [1,0.995633,0.995633,1,0.995633,0.995261,1,0.987013,1,0.995215]
f_measure
0.9954584615212232 [0.995595,0.991379,0.995595,0.995261,0.995671,1,0.995215,0.995595,0.990566,1]
f_measure
0.9963602898203235 [0.995595,0.995633,1,0.995261,1,0.995261,0.995305,0.991228,0.995261,1]
f_measure
0.9963604417994634 [1,0.991228,0.995595,0.995305,0.995633,1,1,0.995595,1,0.990476]
f_measure
0.9954543964710194 [1,0.9869,0.995595,0.985782,1,1,1,0.995595,1,0.990654]
f_measure
0.9917948026478448 [0.995595,0.977778,0.995671,0.985782,0.991304,0.990566,0.995305,0.995595,1,0.990476]
kappa
0.9959588315145014
kappa
0.9909073876098002
kappa
0.9919102620607669
kappa
0.9929212839040872
kappa
0.9959551012558877
kappa
0.9949439370490258
kappa
0.9959552277944674
kappa
0.9959553208324899
kappa
0.9949441510406124
kappa
0.9908994048867739
kb_relative_information_score
0.9902091851484843
kb_relative_information_score
0.9860779718261168
kb_relative_information_score
0.9869028693557658
kb_relative_information_score
0.9888706081991766
kb_relative_information_score
0.9909296397561888
kb_relative_information_score
0.9905075486757514
kb_relative_information_score
0.9920233538879557
kb_relative_information_score
0.9923047618711327
kb_relative_information_score
0.9894816037175009
kb_relative_information_score
0.9870952787868877
mean_absolute_error
0.0034594292896572747
mean_absolute_error
0.004345219532639271
mean_absolute_error
0.00395794493310235
mean_absolute_error
0.0035481750856605045
mean_absolute_error
0.003347216667684488
mean_absolute_error
0.0032949401301755605
mean_absolute_error
0.0029476416773619417
mean_absolute_error
0.0027979066511328193
mean_absolute_error
0.003504002163918663
mean_absolute_error
0.0042364240094651074
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
0.9963800376786967 [1,0.991304,1,0.990476,1,1,1,1,0.990654,0.990566]
precision
0.9918643676413541 [1,0.974138,0.982609,0.990476,1,0.990385,1,0.991304,1,0.990566]
precision
0.9927377416535658 [1,0.991228,0.991304,0.990476,1,0.990566,1,0.991304,0.981132,0.990476]
precision
0.9936763988342499 [1,1,0.991304,0.990476,1,0.990566,1,0.974359,0.990385,1]
precision
0.996438233602454 [1,1,0.991304,1,1,1,1,0.974359,1,1]
precision
0.9955233775263088 [1,0.982906,1,1,0.991379,1,1,1,0.981308,1]
precision
0.9963853279425209 [1,0.991304,1,1,1,1,0.990654,0.991228,0.990566,1]
precision
0.9963767438094326 [1,0.991228,1,0.990654,0.991304,1,1,1,1,0.990476]
precision
0.9954912689097917 [1,0.982609,1,0.990476,1,1,1,1,1,0.981481]
precision
0.9918850530643675 [1,0.990991,0.991379,0.981132,0.982759,0.981308,0.990654,1,1,1]
predictive_accuracy
0.9963636363636365
predictive_accuracy
0.9918181818181818
predictive_accuracy
0.9927206551410372
predictive_accuracy
0.9936305732484076
predictive_accuracy
0.9963603275705186
predictive_accuracy
0.9954504094631482
predictive_accuracy
0.9963603275705186
predictive_accuracy
0.9963603275705186
predictive_accuracy
0.9954504094631482
predictive_accuracy
0.991810737033667
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
0.01922247008083018
relative_absolute_error
0.024144402289278236
relative_absolute_error
0.02199276078821883
relative_absolute_error
0.01971582910136244
relative_absolute_error
0.01859903259964841
relative_absolute_error
0.018308554533285917
relative_absolute_error
0.016378636555369155
relative_absolute_error
0.015546503380505075
relative_absolute_error
0.019469906712078013
relative_absolute_error
0.023539784254770102
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
0.02913799572219051
root_mean_squared_error
0.03735937679685302
root_mean_squared_error
0.038695780630141625
root_mean_squared_error
0.03333769078369726
root_mean_squared_error
0.024700149384569662
root_mean_squared_error
0.027440140065933104
root_mean_squared_error
0.0243912896537204
root_mean_squared_error
0.02300416471562036
root_mean_squared_error
0.03129526134056606
root_mean_squared_error
0.03321757025325169
root_relative_squared_error
0.09713529435293017
root_relative_squared_error
0.1245423362884459
root_relative_squared_error
0.12899897667921492
root_relative_squared_error
0.11113687140853791
root_relative_squared_error
0.08234149728804536
root_relative_squared_error
0.09147564995028393
root_relative_squared_error
0.08131121880822527
root_relative_squared_error
0.07668644818765237
root_relative_squared_error
0.10432556308739854
root_relative_squared_error
0.11073465821139004
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
0.9961994609164421 [1,1,1,0.990476,1,0.980952,1,1,1,0.990566]
unweighted_recall
0.991836379299356 [0.991304,0.991228,0.982609,0.990476,0.991228,0.980952,1,1,1,0.990566]
unweighted_recall
0.9927225570077779 [0.991304,0.991228,0.991304,0.990476,1,1,1,0.991304,0.990476,0.981132]
unweighted_recall
0.9935079495292787 [1,0.991304,1,0.990476,1,0.990566,0.990476,0.991304,0.980952,1]
unweighted_recall
0.9963650923864215 [1,0.991304,1,1,0.991304,0.990566,1,1,1,0.990476]
unweighted_recall
0.9954726438738355 [0.991228,1,0.991228,0.990566,1,1,0.990476,0.991228,1,1]
unweighted_recall
0.9963588215822575 [0.991228,1,1,0.990566,1,0.990566,1,0.991228,1,1]
unweighted_recall
0.9964160401002505 [1,0.991228,0.991228,1,1,1,1,0.991228,1,0.990476]
unweighted_recall
0.9954816285998014 [1,0.991228,0.991228,0.981132,1,1,1,0.991228,1,1]
unweighted_recall
0.9918976687000521 [0.991228,0.964912,1,0.990476,1,1,1,0.991228,1,0.981132]
usercpu_time_millis
2137.102000000027
usercpu_time_millis
2205.7819999999992
usercpu_time_millis
2143.9459999999144
usercpu_time_millis
2107.6379999999517
usercpu_time_millis
2144.0800000001445
usercpu_time_millis
2215.7379999999876
usercpu_time_millis
2145.7340000000613
usercpu_time_millis
2139.259999999922
usercpu_time_millis
2133.2040000000916
usercpu_time_millis
2116.158000000155
usercpu_time_millis_testing
40.2400000000398
usercpu_time_millis_testing
39.88400000002912
usercpu_time_millis_testing
40.79799999999523
usercpu_time_millis_testing
40.05999999992582
usercpu_time_millis_testing
42.024000000083106
usercpu_time_millis_testing
41.60999999999149
usercpu_time_millis_testing
40.05200000005971
usercpu_time_millis_testing
40.73399999992944
usercpu_time_millis_testing
40.58200000008583
usercpu_time_millis_testing
41.038000000071406
usercpu_time_millis_training
2096.8619999999873
usercpu_time_millis_training
2165.89799999997
usercpu_time_millis_training
2103.147999999919
usercpu_time_millis_training
2067.578000000026
usercpu_time_millis_training
2102.0560000000614
usercpu_time_millis_training
2174.127999999996
usercpu_time_millis_training
2105.6820000000016
usercpu_time_millis_training
2098.5259999999926
usercpu_time_millis_training
2092.6220000000058
usercpu_time_millis_training
2075.1200000000836
wall_clock_time_millis
1073.4007358551025
wall_clock_time_millis
1116.9331073760986
wall_clock_time_millis
1102.0705699920654
wall_clock_time_millis
1058.971881866455
wall_clock_time_millis
1086.2398147583008
wall_clock_time_millis
1111.9999885559082
wall_clock_time_millis
1076.6420364379883
wall_clock_time_millis
1073.636770248413
wall_clock_time_millis
1073.8823413848877
wall_clock_time_millis
1061.2058639526367
wall_clock_time_millis_testing
20.13683319091797
wall_clock_time_millis_testing
20.009994506835938
wall_clock_time_millis_testing
20.598649978637695
wall_clock_time_millis_testing
20.087003707885742
wall_clock_time_millis_testing
21.17466926574707
wall_clock_time_millis_testing
20.933866500854492
wall_clock_time_millis_testing
20.0350284576416
wall_clock_time_millis_testing
20.406007766723633
wall_clock_time_millis_testing
20.36905288696289
wall_clock_time_millis_testing
20.578861236572266
wall_clock_time_millis_training
1053.2639026641846
wall_clock_time_millis_training
1096.9231128692627
wall_clock_time_millis_training
1081.4719200134277
wall_clock_time_millis_training
1038.8848781585693
wall_clock_time_millis_training
1065.0651454925537
wall_clock_time_millis_training
1091.0661220550537
wall_clock_time_millis_training
1056.6070079803467
wall_clock_time_millis_training
1053.2307624816895
wall_clock_time_millis_training
1053.5132884979248
wall_clock_time_millis_training
1040.6270027160645
weighted_recall
0.9963636363636363 [1,1,1,0.990476,1,0.980952,1,1,1,0.990566]
weighted_recall
0.9918181818181818 [0.991304,0.991228,0.982609,0.990476,0.991228,0.980952,1,1,1,0.990566]
weighted_recall
0.9927206551410374 [0.991304,0.991228,0.991304,0.990476,1,1,1,0.991304,0.990476,0.981132]
weighted_recall
0.9936305732484076 [1,0.991304,1,0.990476,1,0.990566,0.990476,0.991304,0.980952,1]
weighted_recall
0.9963603275705186 [1,0.991304,1,1,0.991304,0.990566,1,1,1,0.990476]
weighted_recall
0.9954504094631483 [0.991228,1,0.991228,0.990566,1,1,0.990476,0.991228,1,1]
weighted_recall
0.9963603275705186 [0.991228,1,1,0.990566,1,0.990566,1,0.991228,1,1]
weighted_recall
0.9963603275705186 [1,0.991228,0.991228,1,1,1,1,0.991228,1,0.990476]
weighted_recall
0.9954504094631483 [1,0.991228,0.991228,0.981132,1,1,1,0.991228,1,1]
weighted_recall
0.991810737033667 [0.991228,0.964912,1,0.990476,1,1,1,0.991228,1,0.981132]