10309831
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)
8171070
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
10.0
15084
kernel
"rbf"
15084
kernel_params
"null"
15084
n_components
1000
15084
n_epoch
2
15084
random_state
22481
15084
subsample_size
"auto"
15084
openml-python
Sklearn_0.21.2.
1486
nomao
https://www.openml.org/data/download/1592278/phpDYCOet
-1
21541268
description
https://api.openml.org/data/download/21541268/description.xml
-1
21541269
predictions
https://api.openml.org/data/download/21541269/predictions.arff
area_under_roc_curve
0.9478717223073349 [0.947872,0.947872]
average_cost
0
f_measure
0.9604698166779198 [0.93017,0.972584]
kappa
0.9027610994199133
kb_relative_information_score
0.8953838602641401
mean_absolute_error
0.039373277237777456
mean_prior_absolute_error
0.4080904194746198
number_of_instances
34465 [9844,24621]
precision
0.9604413014168502 [0.942538,0.967599]
predictive_accuracy
0.9606267227622226
prior_entropy
0.8629999933345911
recall
0.9606267227622225 [0.918123,0.977621]
relative_absolute_error
0.09648174855088991
root_mean_prior_squared_error
0.4517106852187937
root_mean_squared_error
0.19842700732959073
root_relative_squared_error
0.4392789761736083
total_cost
0
area_under_roc_curve
0.9502181060178446 [0.950218,0.950218]
area_under_roc_curve
0.9503527733220073 [0.950353,0.950353]
area_under_roc_curve
0.925175149583311 [0.925175,0.925175]
area_under_roc_curve
0.9503529795016228 [0.950353,0.950353]
area_under_roc_curve
0.9482212884576527 [0.948221,0.948221]
area_under_roc_curve
0.9486871173545204 [0.948687,0.948687]
area_under_roc_curve
0.9538711999630151 [0.953871,0.953871]
area_under_roc_curve
0.9514316802388169 [0.951432,0.951432]
area_under_roc_curve
0.952040941002424 [0.952041,0.952041]
area_under_roc_curve
0.9483820741944218 [0.948382,0.948382]
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
0.9610414382363945 [0.931423,0.972874]
f_measure
0.9607692010498796 [0.931087,0.972644]
f_measure
0.9460848521581894 [0.903564,0.963097]
f_measure
0.9615990083984044 [0.932377,0.97329]
f_measure
0.9615133063067397 [0.931889,0.973366]
f_measure
0.9617996278500901 [0.93237,0.973562]
f_measure
0.9636645409253476 [0.936127,0.974671]
f_measure
0.9627399348483644 [0.934292,0.97411]
f_measure
0.9635959099243926 [0.935733,0.974732]
f_measure
0.961787288382674 [0.9323,0.973573]
kappa
0.9042991597599741
kappa
0.9037328712075341
kappa
0.8667144681822213
kappa
0.9056703832899974
kappa
0.9052642624960544
kappa
0.9059411201154811
kappa
0.9107985615116139
kappa
0.9084054176627235
kappa
0.9104697309747919
kappa
0.9058831525534969
kb_relative_information_score
0.8966845061001409
kb_relative_information_score
0.8959597591234008
kb_relative_information_score
0.8581970050274486
kb_relative_information_score
0.8982717644762144
kb_relative_information_score
0.8982717644762142
kb_relative_information_score
0.898981056516888
kb_relative_information_score
0.9036078783558099
kb_relative_information_score
0.9012944674363496
kb_relative_information_score
0.9036078783558095
kb_relative_information_score
0.898981056516888
mean_absolute_error
0.0388743835219031
mean_absolute_error
0.0391644908616188
mean_absolute_error
0.05337975050768785
mean_absolute_error
0.038294168842471714
mean_absolute_error
0.038294168842471714
mean_absolute_error
0.03801508995937319
mean_absolute_error
0.03627394080092861
mean_absolute_error
0.0371445153801509
mean_absolute_error
0.03627394080092861
mean_absolute_error
0.03801508995937319
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
0.9609957262834515 [0.938144,0.970125]
precision
0.9607265742660273 [0.936345,0.970481]
precision
0.9463080610635481 [0.933911,0.951268]
precision
0.9615559447041107 [0.941055,0.969758]
precision
0.9615239966321154 [0.947534,0.967121]
precision
0.9618052168904336 [0.947534,0.967509]
precision
0.9636268333932118 [0.941418,0.972503]
precision
0.9627034130474863 [0.943983,0.970185]
precision
0.9635706053159487 [0.94693,0.970221]
precision
0.9618062256763968 [0.948475,0.967134]
predictive_accuracy
0.9611256164780968
predictive_accuracy
0.9608355091383812
predictive_accuracy
0.946620249492312
predictive_accuracy
0.9617058311575284
predictive_accuracy
0.9617058311575284
predictive_accuracy
0.9619849100406267
predictive_accuracy
0.9637260591990714
predictive_accuracy
0.9628554846198492
predictive_accuracy
0.9637260591990714
predictive_accuracy
0.9619849100406267
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
0.9611256164780969 [0.924797,0.975639]
recall
0.9608355091383812 [0.925888,0.974817]
recall
0.9466202494923122 [0.875127,0.975223]
recall
0.9617058311575283 [0.923858,0.976848]
recall
0.9617058311575283 [0.916751,0.979691]
recall
0.9619849100406268 [0.917683,0.979691]
recall
0.9637260591990714 [0.930894,0.976848]
recall
0.9628554846198492 [0.924797,0.978067]
recall
0.9637260591990714 [0.924797,0.979285]
recall
0.9619849100406268 [0.916667,0.980097]
relative_absolute_error
0.09527500282973321
relative_absolute_error
0.09595675986460078
relative_absolute_error
0.1307855097413818
relative_absolute_error
0.09382438742316519
relative_absolute_error
0.09382438742316519
relative_absolute_error
0.09316090033271993
relative_absolute_error
0.08889398886709918
relative_absolute_error
0.09102744459990955
relative_absolute_error
0.08889398886709918
relative_absolute_error
0.09316090033271993
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
0.1971658781886539
root_mean_squared_error
0.19790020429908303
root_mean_squared_error
0.23104058194976884
root_mean_squared_error
0.19568895942917094
root_mean_squared_error
0.19568895942917094
root_mean_squared_error
0.19497458798359643
root_mean_squared_error
0.1904571888927499
root_mean_squared_error
0.19272912436928388
root_mean_squared_error
0.1904571888927499
root_mean_squared_error
0.19497458798359643
root_relative_squared_error
0.4365593106644464
root_relative_squared_error
0.43805170095056684
root_relative_squared_error
0.5114078596844278
root_relative_squared_error
0.43315711491457004
root_relative_squared_error
0.43315711491457004
root_relative_squared_error
0.4316698364847463
root_relative_squared_error
0.4216684052877428
root_relative_squared_error
0.4266984249728816
root_relative_squared_error
0.4216684052877428
root_relative_squared_error
0.4316698364847463
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
84050.58366600133
usercpu_time_millis
82963.5783709964
usercpu_time_millis
85609.23263100267
usercpu_time_millis
88492.700073999
usercpu_time_millis
82232.32607700629
usercpu_time_millis
102427.07710999821
usercpu_time_millis
86843.53014201042
usercpu_time_millis
96686.40511800186
usercpu_time_millis
83990.15103001148
usercpu_time_millis
82458.39917598641
usercpu_time_millis_testing
4420.901965000667
usercpu_time_millis_testing
4180.0589749909705
usercpu_time_millis_testing
4155.333233997226
usercpu_time_millis_testing
4743.114081007661
usercpu_time_millis_testing
4069.0587730059633
usercpu_time_millis_testing
6289.216787001351
usercpu_time_millis_testing
3951.205197008676
usercpu_time_millis_testing
4128.778598998906
usercpu_time_millis_testing
4879.126719999476
usercpu_time_millis_testing
3958.218109997688
usercpu_time_millis_training
79629.68170100066
usercpu_time_millis_training
78783.51939600543
usercpu_time_millis_training
81453.89939700544
usercpu_time_millis_training
83749.58599299134
usercpu_time_millis_training
78163.26730400033
usercpu_time_millis_training
96137.86032299686
usercpu_time_millis_training
82892.32494500175
usercpu_time_millis_training
92557.62651900295
usercpu_time_millis_training
79111.024310012
usercpu_time_millis_training
78500.18106598873
wall_clock_time_millis
84056.7901134491
wall_clock_time_millis
82968.06025505066
wall_clock_time_millis
85613.73138427734
wall_clock_time_millis
88506.60538673401
wall_clock_time_millis
82236.52768135071
wall_clock_time_millis
102436.0568523407
wall_clock_time_millis
86853.45578193665
wall_clock_time_millis
96703.19867134094
wall_clock_time_millis
83993.41344833374
wall_clock_time_millis
82493.07441711426
wall_clock_time_millis_testing
4422.478199005127
wall_clock_time_millis_testing
4180.219411849976
wall_clock_time_millis_testing
4155.486106872559
wall_clock_time_millis_testing
4743.367433547974
wall_clock_time_millis_testing
4069.185256958008
wall_clock_time_millis_testing
6289.538383483887
wall_clock_time_millis_testing
3951.3657093048096
wall_clock_time_millis_testing
4129.0435791015625
wall_clock_time_millis_testing
4879.325151443481
wall_clock_time_millis_testing
3958.3423137664795
wall_clock_time_millis_training
79634.31191444397
wall_clock_time_millis_training
78787.84084320068
wall_clock_time_millis_training
81458.24527740479
wall_clock_time_millis_training
83763.23795318604
wall_clock_time_millis_training
78167.3424243927
wall_clock_time_millis_training
96146.51846885681
wall_clock_time_millis_training
82902.09007263184
wall_clock_time_millis_training
92574.15509223938
wall_clock_time_millis_training
79114.08829689026
wall_clock_time_millis_training
78534.73210334778