10309870
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)
8171071
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
10.0
15084
kernel
"rbf"
15084
kernel_params
"null"
15084
n_components
500
15084
n_epoch
2
15084
random_state
41130
15084
subsample_size
"auto"
15084
openml-python
Sklearn_0.21.2.
1486
nomao
https://www.openml.org/data/download/1592278/phpDYCOet
-1
21541346
description
https://api.openml.org/data/download/21541346/description.xml
-1
21541347
predictions
https://api.openml.org/data/download/21541347/predictions.arff
area_under_roc_curve
0.949832815750904 [0.949833,0.949833]
average_cost
0
f_measure
0.9606881596169836 [0.930844,0.97262]
kappa
0.9034663882124044
kb_relative_information_score
0.8957693287230063
mean_absolute_error
0.03922820252430002
mean_prior_absolute_error
0.4080904194746198
number_of_instances
34465 [9844,24621]
precision
0.9606418713960844 [0.937461,0.96991]
predictive_accuracy
0.9607717974757
prior_entropy
0.8629999933345911
recall
0.9607717974757 [0.924319,0.975346]
relative_absolute_error
0.09612625205659775
root_mean_prior_squared_error
0.4517106852187937
root_mean_squared_error
0.19806110805582205
root_relative_squared_error
0.43846894602435144
total_cost
0
area_under_roc_curve
0.9518458552429616 [0.951846,0.951846]
area_under_roc_curve
0.9521797308943659 [0.95218,0.95218]
area_under_roc_curve
0.9465957683695728 [0.946596,0.946596]
area_under_roc_curve
0.9459873323244279 [0.945987,0.945987]
area_under_roc_curve
0.9396930810244652 [0.939693,0.939693]
area_under_roc_curve
0.9500084206772205 [0.950008,0.950008]
area_under_roc_curve
0.9516380693863803 [0.951638,0.951638]
area_under_roc_curve
0.9570202855765357 [0.95702,0.95702]
area_under_roc_curve
0.9561059816528303 [0.956106,0.956106]
area_under_roc_curve
0.9472638577929241 [0.947264,0.947264]
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
0.9608295282282293 [0.931368,0.9726]
f_measure
0.9600135721948723 [0.930233,0.971928]
f_measure
0.9559304361498278 [0.922999,0.969106]
f_measure
0.9583792413594568 [0.926629,0.971082]
f_measure
0.9553397430005571 [0.920766,0.969172]
f_measure
0.9624070020873161 [0.933539,0.973945]
f_measure
0.9597061481919165 [0.92962,0.971731]
f_measure
0.966836158522885 [0.941598,0.976923]
f_measure
0.9659687634324657 [0.940092,0.976311]
f_measure
0.9614642946863051 [0.931606,0.973398]
kappa
0.9039675341358998
kappa
0.902161599158857
kappa
0.8921048556356939
kappa
0.8977156217012929
kappa
0.889955779162477
kappa
0.9074910879839176
kappa
0.9013514810438009
kappa
0.9185236006212089
kappa
0.9164051099657767
kappa
0.9050183627156273
kb_relative_information_score
0.895913494951635
kb_relative_information_score
0.893647753770587
kb_relative_information_score
0.8828583954574559
kb_relative_information_score
0.8897944115158986
kb_relative_information_score
0.8820877270065202
kb_relative_information_score
0.9005233304631948
kb_relative_information_score
0.8928119607316601
kb_relative_information_score
0.9120903850604988
kb_relative_information_score
0.9097769741410374
kb_relative_information_score
0.8982099195437349
mean_absolute_error
0.0391644908616188
mean_absolute_error
0.04003481288076589
mean_absolute_error
0.04409631563678561
mean_absolute_error
0.041485349579344355
mean_absolute_error
0.044386422976501305
mean_absolute_error
0.03743470690655833
mean_absolute_error
0.040336622170632615
mean_absolute_error
0.0330818340104469
mean_absolute_error
0.033952408589669185
mean_absolute_error
0.038305281485780614
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
0.9608237420089161 [0.931841,0.972403]
precision
0.9600743306867475 [0.926485,0.973513]
precision
0.9559602689479758 [0.921132,0.969894]
precision
0.9583303387681757 [0.936722,0.966975]
precision
0.9553661464774486 [0.939746,0.961615]
precision
0.9623932824920448 [0.946708,0.968662]
precision
0.9597584020296556 [0.926337,0.973116]
precision
0.9668049262755882 [0.94938,0.973769]
precision
0.9659344757238691 [0.947368,0.973355]
precision
0.9615217790887863 [0.950317,0.966]
predictive_accuracy
0.9608355091383812
predictive_accuracy
0.9599651871192342
predictive_accuracy
0.9559036843632144
predictive_accuracy
0.9585146504206556
predictive_accuracy
0.9556135770234987
predictive_accuracy
0.9625652930934417
predictive_accuracy
0.9596633778293673
predictive_accuracy
0.9669181659895532
predictive_accuracy
0.9660475914103308
predictive_accuracy
0.9616947185142193
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
0.9608355091383812 [0.930894,0.972797]
recall
0.9599651871192341 [0.93401,0.970349]
recall
0.9559036843632144 [0.924873,0.968318]
recall
0.9585146504206556 [0.916751,0.975223]
recall
0.9556135770234987 [0.902538,0.976848]
recall
0.9625652930934416 [0.920732,0.979285]
recall
0.9596633778293674 [0.932927,0.970349]
recall
0.9669181659895532 [0.933943,0.980097]
recall
0.9660475914103308 [0.932927,0.979285]
recall
0.9616947185142194 [0.913618,0.98091]
relative_absolute_error
0.0959860103135372
relative_absolute_error
0.09808913230603636
relative_absolute_error
0.10804020369940234
relative_absolute_error
0.10164308637509563
relative_absolute_error
0.1087509945132142
relative_absolute_error
0.09173859651084633
relative_absolute_error
0.09885011562021427
relative_absolute_error
0.08107131784679444
relative_absolute_error
0.08320477357960483
relative_absolute_error
0.09387205224365673
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
0.19790020429908303
root_mean_squared_error
0.20008701327364023
root_mean_squared_error
0.20999122752340302
root_mean_squared_error
0.20367952665730632
root_mean_squared_error
0.2106808557427592
root_mean_squared_error
0.19348050782070614
root_mean_squared_error
0.20083979229881865
root_mean_squared_error
0.18188412248034982
root_mean_squared_error
0.184261793624368
root_mean_squared_error
0.19571735100849033
root_relative_squared_error
0.4381852355126858
root_relative_squared_error
0.4428921981817421
root_relative_squared_error
0.46481515634165715
root_relative_squared_error
0.45084421927225243
root_relative_squared_error
0.46634164700690145
root_relative_squared_error
0.42836197289965083
root_relative_squared_error
0.44465528147983785
root_relative_squared_error
0.4026878077920068
root_relative_squared_error
0.40795192412925574
root_relative_squared_error
0.4333142989596708
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
91534.11322900502
usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis_testing
4125.461938005174
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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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usercpu_time_millis_training
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usercpu_time_millis_training
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wall_clock_time_millis
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wall_clock_time_millis_testing
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