10311880
8323
Heinrich Peters
9977
Supervised Classification
15083
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,fkceigenpro=sklearn_extra.fast_kernel.FKCEigenPro)(1)
8171580
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"most_frequent"
12737
verbose
0
12737
copy
true
13294
with_mean
true
13294
with_std
true
13294
memory
null
15083
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": "fkceigenpro", "step_name": "fkceigenpro"}}]
15083
verbose
false
15083
bandwidth
5
15084
batch_size
"auto"
15084
coef0
1
15084
degree
2
15084
gamma
0.001
15084
kernel
"laplace"
15084
kernel_params
"\"null\""
15084
n_components
500
15084
n_epoch
2
15084
random_state
35479
15084
subsample_size
"auto"
15084
openml-python
Sklearn_0.21.2.
1486
nomao
https://www.openml.org/data/download/1592278/phpDYCOet
-1
21545367
description
https://api.openml.org/data/download/21545367/description.xml
-1
21545368
predictions
https://api.openml.org/data/download/21545368/predictions.arff
area_under_roc_curve
0.9526871376570226 [0.952687,0.952687]
average_cost
0
f_measure
0.9627374824298215 [0.934505,0.974025]
kappa
0.9085316337623519
kb_relative_information_score
0.9011658871471058
mean_absolute_error
0.037197156535615845
mean_prior_absolute_error
0.4080904194746198
number_of_instances
34465 [9844,24621]
precision
0.9626976537565539 [0.939979,0.971781]
predictive_accuracy
0.9628028434643842
prior_entropy
0.8629999933345911
recall
0.9628028434643842 [0.929094,0.97628]
relative_absolute_error
0.09114930113650764
root_mean_prior_squared_error
0.4517106852187937
root_mean_squared_error
0.19286564374096243
root_relative_squared_error
0.42696719394084004
total_cost
0
area_under_roc_curve
0.9520463840448392 [0.952046,0.952046]
area_under_roc_curve
0.9555305620043959 [0.955531,0.955531]
area_under_roc_curve
0.9522813774447747 [0.952281,0.952281]
area_under_roc_curve
0.9604034110355577 [0.960403,0.960403]
area_under_roc_curve
0.9525861109163859 [0.952586,0.952586]
area_under_roc_curve
0.9525490710837248 [0.952549,0.952549]
area_under_roc_curve
0.9517375489555058 [0.951738,0.951738]
area_under_roc_curve
0.9523501119454737 [0.95235,0.95235]
area_under_roc_curve
0.950616030327647 [0.950616,0.950616]
area_under_roc_curve
0.9467549021550329 [0.946755,0.946755]
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
0.9627741843334428 [0.934426,0.9741]
f_measure
0.9642894973396782 [0.937405,0.975046]
f_measure
0.9605693376077407 [0.931104,0.972358]
f_measure
0.9661237752796257 [0.940998,0.976176]
f_measure
0.9614098430661416 [0.932453,0.972995]
f_measure
0.9638928767941054 [0.93628,0.974929]
f_measure
0.9619204388897644 [0.933061,0.973455]
f_measure
0.9594587514168397 [0.929364,0.971487]
f_measure
0.9649330410893913 [0.93763,0.975845]
f_measure
0.961998240998865 [0.932362,0.973843]
kappa
0.9085282117623643
kappa
0.9124504543384913
kappa
0.9034622392529893
kappa
0.9171758560347284
kappa
0.9054479554466871
kappa
0.9112132482805909
kappa
0.9065168924641713
kappa
0.9008530370898916
kappa
0.9134928697305377
kappa
0.9062259536283384
kb_relative_information_score
0.9013105729911799
kb_relative_information_score
0.9052077805346544
kb_relative_information_score
0.8951890906724609
kb_relative_information_score
0.9098317912402795
kb_relative_information_score
0.8975010960252753
kb_relative_information_score
0.9043790153289628
kb_relative_information_score
0.8989810565168885
kb_relative_information_score
0.8920408237585064
kb_relative_information_score
0.9074635632215781
kb_relative_information_score
0.8997521934900417
mean_absolute_error
0.03713373948360894
mean_absolute_error
0.03568320278503046
mean_absolute_error
0.03945459820133449
mean_absolute_error
0.033942558746736295
mean_absolute_error
0.03858427618218741
mean_absolute_error
0.035983749274521186
mean_absolute_error
0.03801508995937319
mean_absolute_error
0.04062681369704005
mean_absolute_error
0.034822983168891465
mean_absolute_error
0.03772489843296576
mean_prior_absolute_error
0.4080229059806574
mean_prior_absolute_error
0.4081472833897437
mean_prior_absolute_error
0.4081472833897437
mean_prior_absolute_error
0.4081472833897437
mean_prior_absolute_error
0.4081472833897437
mean_prior_absolute_error
0.40805842175852763
mean_prior_absolute_error
0.40805842175852763
mean_prior_absolute_error
0.40805842175852763
mean_prior_absolute_error
0.40805842175852763
mean_prior_absolute_error
0.40805842175852763
number_of_instances
3447 [984,2463]
number_of_instances
3447 [985,2462]
number_of_instances
3447 [985,2462]
number_of_instances
3447 [985,2462]
number_of_instances
3447 [985,2462]
number_of_instances
3446 [984,2462]
number_of_instances
3446 [984,2462]
number_of_instances
3446 [984,2462]
number_of_instances
3446 [984,2462]
number_of_instances
3446 [984,2462]
precision
0.9627325453074468 [0.942149,0.970956]
precision
0.9642670994467336 [0.939796,0.974058]
precision
0.9605963765195848 [0.929221,0.973149]
precision
0.9662229945905711 [0.93487,0.978767]
precision
0.9614041570721571 [0.932927,0.972797]
precision
0.9638654142994397 [0.946985,0.970612]
precision
0.9618797145284105 [0.938335,0.97129]
precision
0.9595820853752159 [0.922846,0.974265]
precision
0.9650786480582338 [0.959574,0.967279]
precision
0.9621457729527516 [0.955224,0.964912]
predictive_accuracy
0.962866260516391
predictive_accuracy
0.9643167972149694
predictive_accuracy
0.9605454017986655
predictive_accuracy
0.9660574412532636
predictive_accuracy
0.9614157238178126
predictive_accuracy
0.9640162507254789
predictive_accuracy
0.9619849100406267
predictive_accuracy
0.9593731863029599
predictive_accuracy
0.9651770168311086
predictive_accuracy
0.9622751015670343
prior_entropy
0.862791736866817
prior_entropy
0.863175399426382
prior_entropy
0.863175399426382
prior_entropy
0.863175399426382
prior_entropy
0.863175399426382
prior_entropy
0.862901291120622
prior_entropy
0.862901291120622
prior_entropy
0.862901291120622
prior_entropy
0.862901291120622
prior_entropy
0.862901291120622
recall
0.962866260516391 [0.926829,0.977263]
recall
0.9643167972149695 [0.935025,0.976036]
recall
0.9605454017986655 [0.932995,0.971568]
recall
0.9660574412532638 [0.947208,0.973599]
recall
0.9614157238178126 [0.93198,0.973193]
recall
0.9640162507254788 [0.925813,0.979285]
recall
0.9619849100406268 [0.927846,0.97563]
recall
0.95937318630296 [0.935976,0.968725]
recall
0.9651770168311086 [0.916667,0.984565]
recall
0.9622751015670342 [0.910569,0.982941]
relative_absolute_error
0.09100895792690934
relative_absolute_error
0.08742727009885849
relative_absolute_error
0.09666755067841264
relative_absolute_error
0.08316252521598737
relative_absolute_error
0.09453517823697707
relative_absolute_error
0.08818283695616237
relative_absolute_error
0.09316090033271993
relative_absolute_error
0.09956126753115108
relative_absolute_error
0.0853382293124152
relative_absolute_error
0.09244974842178313
root_mean_prior_squared_error
0.4516359481339797
root_mean_prior_squared_error
0.45177362368332785
root_mean_prior_squared_error
0.45177362368332785
root_mean_prior_squared_error
0.45177362368332785
root_mean_prior_squared_error
0.45177362368332785
root_mean_prior_squared_error
0.4516752654560011
root_mean_prior_squared_error
0.4516752654560011
root_mean_prior_squared_error
0.4516752654560011
root_mean_prior_squared_error
0.4516752654560011
root_mean_prior_squared_error
0.4516752654560011
root_mean_squared_error
0.19270116627464645
root_mean_squared_error
0.18889998090267363
root_mean_squared_error
0.19863181568251972
root_mean_squared_error
0.18423506383622065
root_mean_squared_error
0.19642880690516706
root_mean_squared_error
0.18969383035439288
root_mean_squared_error
0.19497458798359643
root_mean_squared_error
0.20156094288586776
root_mean_squared_error
0.18660917225284362
root_mean_squared_error
0.19422898453363174
root_relative_squared_error
0.4266736672995765
root_relative_squared_error
0.4181297247116039
root_relative_squared_error
0.4396711212643776
root_relative_squared_error
0.40780394024366684
root_relative_squared_error
0.4347947658025614
root_relative_squared_error
0.4199783447581135
root_relative_squared_error
0.4316698364847463
root_relative_squared_error
0.44625189444982427
root_relative_squared_error
0.4131489734432263
root_relative_squared_error
0.43001908536555034
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
usercpu_time_millis
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usercpu_time_millis
91175.25309699704
usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_training
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usercpu_time_millis_training
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wall_clock_time_millis
114438.94147872925
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