10311571
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)
8171285
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
3
15084
gamma
100.0
15084
kernel
"laplace"
15084
kernel_params
"\"null\""
15084
n_components
500
15084
n_epoch
2
15084
random_state
23553
15084
subsample_size
"auto"
15084
openml-python
Sklearn_0.21.2.
1486
nomao
https://www.openml.org/data/download/1592278/phpDYCOet
-1
21544749
description
https://api.openml.org/data/download/21544749/description.xml
-1
21544750
predictions
https://api.openml.org/data/download/21544750/predictions.arff
area_under_roc_curve
0.9528805843272345 [0.952881,0.952881]
average_cost
0
f_measure
0.9620525097482043 [0.933469,0.973481]
kappa
0.9069500288840489
kb_relative_information_score
0.899238544852783
mean_absolute_error
0.037922530103003046
mean_prior_absolute_error
0.4080904194746198
number_of_instances
34465 [9844,24621]
precision
0.9620311631546398 [0.935517,0.972632]
predictive_accuracy
0.962077469896997
prior_entropy
0.8629999933345911
recall
0.9620774698969969 [0.93143,0.974331]
relative_absolute_error
0.0929267836079684
root_mean_prior_squared_error
0.4517106852187937
root_mean_squared_error
0.19473707942506235
root_relative_squared_error
0.43111019021110414
total_cost
0
area_under_roc_curve
0.9515394917956488 [0.951539,0.951539]
area_under_roc_curve
0.9552260347124001 [0.955226,0.955226]
area_under_roc_curve
0.9538044262639841 [0.953804,0.953804]
area_under_roc_curve
0.9539062789940084 [0.953906,0.953906]
area_under_roc_curve
0.953195990218839 [0.953196,0.953196]
area_under_roc_curve
0.950010071790401 [0.95001,0.95001]
area_under_roc_curve
0.9511266370787185 [0.951127,0.951127]
area_under_roc_curve
0.9530654567309279 [0.953065,0.953065]
area_under_roc_curve
0.9545848936352889 [0.954585,0.954585]
area_under_roc_curve
0.9523468097191127 [0.952347,0.952347]
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
0.961646832856283 [0.932584,0.973258]
f_measure
0.9642785023566707 [0.937341,0.975056]
f_measure
0.9622860458369596 [0.93401,0.973599]
f_measure
0.9636751861572961 [0.936192,0.974671]
f_measure
0.9647600761053042 [0.937789,0.975551]
f_measure
0.9607454702301411 [0.930946,0.972655]
f_measure
0.9627281308842378 [0.934224,0.974121]
f_measure
0.9559168688541257 [0.924145,0.968615]
f_measure
0.9617525711665134 [0.933266,0.973138]
f_measure
0.9627750735370321 [0.934493,0.974079]
kappa
0.9058429424421932
kappa
0.9123970179765656
kappa
0.9076088525279682
kappa
0.9108637696366056
kappa
0.9133454458194782
kappa
0.9036034382082725
kappa
0.9083491595154488
kappa
0.8927863336016193
kappa
0.9064048612385689
kappa
0.9085737784701663
kb_relative_information_score
0.898226528397154
kb_relative_information_score
0.9052077805346542
kb_relative_information_score
0.8998131013780878
kb_relative_information_score
0.9036664436327783
kb_relative_information_score
0.906749117436529
kb_relative_information_score
0.8958965086242737
kb_relative_information_score
0.9012944674363493
kb_relative_information_score
0.8820160431075085
kb_relative_information_score
0.8982099195437349
kb_relative_information_score
0.9012944674363488
mean_absolute_error
0.038294168842471714
mean_absolute_error
0.03568320278503046
mean_absolute_error
0.037713954163040325
mean_absolute_error
0.03626341746446185
mean_absolute_error
0.03510298810559907
mean_absolute_error
0.0391758560650029
mean_absolute_error
0.0371445153801509
mean_absolute_error
0.044399303540336624
mean_absolute_error
0.038305281485780614
mean_absolute_error
0.0371445153801509
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
0.9616074317725175 [0.937372,0.97129]
precision
0.9642498265771242 [0.940695,0.973674]
precision
0.9622860458369596 [0.93401,0.973599]
precision
0.9636375774509384 [0.941478,0.972503]
precision
0.9647472630816305 [0.95,0.970647]
precision
0.9606999428431762 [0.937178,0.970101]
precision
0.9626965156690862 [0.944906,0.969807]
precision
0.9566845482694188 [0.902227,0.97845]
precision
0.961829805341066 [0.928571,0.975122]
precision
0.9627332482720911 [0.941237,0.971325]
predictive_accuracy
0.9617058311575284
predictive_accuracy
0.9643167972149694
predictive_accuracy
0.9622860458369596
predictive_accuracy
0.9637365825355382
predictive_accuracy
0.964897011894401
predictive_accuracy
0.960824143934997
predictive_accuracy
0.9628554846198492
predictive_accuracy
0.9556006964596634
predictive_accuracy
0.9616947185142193
predictive_accuracy
0.9628554846198492
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
0.9617058311575283 [0.927846,0.975233]
recall
0.9643167972149695 [0.93401,0.976442]
recall
0.9622860458369596 [0.93401,0.973599]
recall
0.9637365825355382 [0.930964,0.976848]
recall
0.9648970118944009 [0.925888,0.980504]
recall
0.960824143934997 [0.924797,0.975223]
recall
0.9628554846198492 [0.92378,0.978473]
recall
0.9556006964596634 [0.947154,0.958976]
recall
0.9616947185142194 [0.938008,0.971162]
recall
0.9628554846198492 [0.927846,0.976848]
relative_absolute_error
0.09385298786212525
relative_absolute_error
0.08742727009885849
relative_absolute_error
0.09240280579554148
relative_absolute_error
0.0888488517264822
relative_absolute_error
0.08600568847123478
relative_absolute_error
0.09600550797646709
relative_absolute_error
0.09102744459990955
relative_absolute_error
0.10880624237332938
relative_absolute_error
0.09387205224365673
relative_absolute_error
0.09102744459990955
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
0.19568895942917094
root_mean_squared_error
0.18889998090267363
root_mean_squared_error
0.19420080886299193
root_mean_squared_error
0.19042956037459585
root_mean_squared_error
0.18735791444611855
root_mean_squared_error
0.1979289166973914
root_mean_squared_error
0.19272912436928388
root_mean_squared_error
0.2107114224249284
root_mean_squared_error
0.19571735100849033
root_mean_squared_error
0.19272912436928388
root_relative_squared_error
0.4332891574235782
root_relative_squared_error
0.4181297247116039
root_relative_squared_error
0.42986309665372935
root_relative_squared_error
0.4215154457713053
root_relative_squared_error
0.4147163637367366
root_relative_squared_error
0.4382106611429494
root_relative_squared_error
0.4266984249728816
root_relative_squared_error
0.46651087305433675
root_relative_squared_error
0.4333142989596708
root_relative_squared_error
0.4266984249728816
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
94320.11674702517
usercpu_time_millis
89217.26892900188
usercpu_time_millis
83493.76291502267
usercpu_time_millis
121914.32056500344
usercpu_time_millis
90677.75029301993
usercpu_time_millis
96355.1892489777
usercpu_time_millis
104339.71573098097
usercpu_time_millis
110697.61706597637
usercpu_time_millis
104309.73551698844
usercpu_time_millis
83933.001597994
usercpu_time_millis_testing
4851.0949710034765
usercpu_time_millis_testing
4827.534042997286
usercpu_time_millis_testing
4755.218345002504
usercpu_time_millis_testing
4829.358666000189
usercpu_time_millis_testing
4986.6517200134695
usercpu_time_millis_testing
7249.19727499946
usercpu_time_millis_testing
5096.310077991802
usercpu_time_millis_testing
5155.62497798237
usercpu_time_millis_testing
7588.034221989801
usercpu_time_millis_testing
4836.484731000382
usercpu_time_millis_training
89469.02177602169
usercpu_time_millis_training
84389.73488600459
usercpu_time_millis_training
78738.54457002017
usercpu_time_millis_training
117084.96189900325
usercpu_time_millis_training
85691.09857300646
usercpu_time_millis_training
89105.99197397823
usercpu_time_millis_training
99243.40565298917
usercpu_time_millis_training
105541.992087994
usercpu_time_millis_training
96721.70129499864
usercpu_time_millis_training
79096.51686699362
wall_clock_time_millis
94344.55704689026
wall_clock_time_millis
89223.5631942749
wall_clock_time_millis
83497.73573875427
wall_clock_time_millis
121925.14038085938
wall_clock_time_millis
90682.82580375671
wall_clock_time_millis
96398.45633506775
wall_clock_time_millis
104346.28057479858
wall_clock_time_millis
110707.24558830261
wall_clock_time_millis
104339.50352668762
wall_clock_time_millis
83941.67423248291
wall_clock_time_millis_testing
4851.227521896362
wall_clock_time_millis_testing
4827.666759490967
wall_clock_time_millis_testing
4755.36322593689
wall_clock_time_millis_testing
4829.488754272461
wall_clock_time_millis_testing
4986.860036849976
wall_clock_time_millis_testing
7253.408670425415
wall_clock_time_millis_testing
5096.716403961182
wall_clock_time_millis_testing
5155.78031539917
wall_clock_time_millis_testing
7588.979244232178
wall_clock_time_millis_testing
4836.660146713257
wall_clock_time_millis_training
89493.3295249939
wall_clock_time_millis_training
84395.89643478394
wall_clock_time_millis_training
78742.37251281738
wall_clock_time_millis_training
117095.65162658691
wall_clock_time_millis_training
85695.96576690674
wall_clock_time_millis_training
89145.04766464233
wall_clock_time_millis_training
99249.5641708374
wall_clock_time_millis_training
105551.46527290344
wall_clock_time_millis_training
96750.52428245544
wall_clock_time_millis_training
79105.01408576965