10309441
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)
8170932
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
1000000000.0
15084
kernel
"laplace"
15084
kernel_params
"null"
15084
n_components
4000
15084
n_epoch
2
15084
random_state
26608
15084
subsample_size
"auto"
15084
openml-python
Sklearn_0.21.2.
1486
nomao
https://www.openml.org/data/download/1592278/phpDYCOet
-1
21540488
description
https://api.openml.org/data/download/21540488/description.xml
-1
21540489
predictions
https://api.openml.org/data/download/21540489/predictions.arff
area_under_roc_curve
0.9454572645977795 [0.945457,0.945457]
average_cost
0
f_measure
0.9531362925979938 [0.918544,0.966967]
kappa
0.8855156300907983
kb_relative_information_score
0.8751082193278568
mean_absolute_error
0.04700420716669085
mean_prior_absolute_error
0.4080904194746198
number_of_instances
34465 [9844,24621]
precision
0.953352839202217 [0.909399,0.970927]
predictive_accuracy
0.9529957928333092
prior_entropy
0.8629999933345911
recall
0.9529957928333092 [0.927875,0.96304]
relative_absolute_error
0.11518086415065706
root_mean_prior_squared_error
0.4517106852187937
root_mean_squared_error
0.21680453677608053
root_relative_squared_error
0.47996326823897817
total_cost
0
area_under_roc_curve
0.9532668865056494 [0.953267,0.953267]
area_under_roc_curve
0.9526877574667948 [0.952688,0.952688]
area_under_roc_curve
0.9524842581863615 [0.952484,0.952484]
area_under_roc_curve
0.9553266503647317 [0.955327,0.955327]
area_under_roc_curve
0.9558355016556224 [0.955836,0.955836]
area_under_roc_curve
0.9554958953326332 [0.955496,0.955496]
area_under_roc_curve
0.9546868498741852 [0.954687,0.954687]
area_under_roc_curve
0.9587485882982307 [0.958749,0.958749]
area_under_roc_curve
0.9518378540812215 [0.951838,0.951838]
area_under_roc_curve
0.8641847958893887 [0.864185,0.864185]
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
0.9628205817438489 [0.934694,0.974058]
f_measure
0.9619668630203076 [0.933333,0.973423]
f_measure
0.9600255496687176 [0.930303,0.971917]
f_measure
0.9606862182018011 [0.931795,0.972245]
f_measure
0.9659681051510518 [0.940092,0.976321]
f_measure
0.9659473508373717 [0.939969,0.97633]
f_measure
0.9614800819400164 [0.932862,0.972918]
f_measure
0.9671731062216202 [0.942376,0.977084]
f_measure
0.9633105038391716 [0.935252,0.974525]
f_measure
0.8643139969502084 [0.781264,0.897507]
kappa
0.9087520412164408
kappa
0.9067561749458727
kappa
0.9022210071717667
kappa
0.9040459408365995
kappa
0.9164152520470854
kappa
0.9163025151469733
kappa
0.9057817668257124
kappa
0.9194605025574628
kappa
0.9097812038980199
kappa
0.6804235656497064
kb_relative_information_score
0.9013105729911799
kb_relative_information_score
0.8990424329271522
kb_relative_information_score
0.8936477537705849
kb_relative_information_score
0.8951890906724613
kb_relative_information_score
0.9098317912402802
kb_relative_information_score
0.9097769741410374
kb_relative_information_score
0.8974387825705812
kb_relative_information_score
0.9128615220336519
kb_relative_information_score
0.9028367413826563
kb_relative_information_score
0.6290831159131246
mean_absolute_error
0.03713373948360894
mean_absolute_error
0.03800406150275602
mean_absolute_error
0.04003481288076589
mean_absolute_error
0.03945459820133449
mean_absolute_error
0.033942558746736295
mean_absolute_error
0.033952408589669185
mean_absolute_error
0.03859547301218805
mean_absolute_error
0.032791642484039464
mean_absolute_error
0.03656413232733604
mean_absolute_error
0.1395821242019733
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
0.9627874530041208 [0.938525,0.972481]
precision
0.9619426720749032 [0.935714,0.972436]
precision
0.9601052240132623 [0.925628,0.973899]
precision
0.9609375116329447 [0.920714,0.97703]
precision
0.9659359907995086 [0.948347,0.972973]
precision
0.9659187437375478 [0.949223,0.972592]
precision
0.9615883221766816 [0.92678,0.9755]
precision
0.9671475262555984 [0.945752,0.975699]
precision
0.9632809649842631 [0.945946,0.970209]
precision
0.87630334416496 [0.706996,0.943971]
predictive_accuracy
0.962866260516391
predictive_accuracy
0.961995938497244
predictive_accuracy
0.9599651871192342
predictive_accuracy
0.9605454017986655
predictive_accuracy
0.9660574412532636
predictive_accuracy
0.9660475914103308
predictive_accuracy
0.9614045269878119
predictive_accuracy
0.9672083575159606
predictive_accuracy
0.963435867672664
predictive_accuracy
0.8604178757980268
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 [0.930894,0.975639]
recall
0.961995938497244 [0.930964,0.974411]
recall
0.9599651871192341 [0.935025,0.969943]
recall
0.9605454017986655 [0.943147,0.967506]
recall
0.9660574412532638 [0.93198,0.979691]
recall
0.9660475914103308 [0.930894,0.980097]
recall
0.961404526987812 [0.939024,0.970349]
recall
0.9672083575159606 [0.939024,0.978473]
recall
0.963435867672664 [0.924797,0.978879]
recall
0.8604178757980266 [0.872967,0.855402]
relative_absolute_error
0.09100895792690934
relative_absolute_error
0.09311359660935337
relative_absolute_error
0.09808913230603636
relative_absolute_error
0.09666755067841264
relative_absolute_error
0.08316252521598737
relative_absolute_error
0.08320477357960483
relative_absolute_error
0.09458320415459352
relative_absolute_error
0.08036016593585765
relative_absolute_error
0.08960514077803597
relative_absolute_error
0.3420640691605976
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
0.19494630415259487
root_mean_squared_error
0.20008701327364023
root_mean_squared_error
0.19863181568251972
root_mean_squared_error
0.18423506383622065
root_mean_squared_error
0.184261793624368
root_mean_squared_error
0.19645730582543386
root_mean_squared_error
0.18108462796173358
root_mean_squared_error
0.19121750005513627
root_mean_squared_error
0.373606911341283
root_relative_squared_error
0.4266736672995765
root_relative_squared_error
0.43151324896568793
root_relative_squared_error
0.4428921981817421
root_relative_squared_error
0.4396711212643776
root_relative_squared_error
0.40780394024366684
root_relative_squared_error
0.40795192412925574
root_relative_squared_error
0.4349525441183834
root_relative_squared_error
0.4009177429251404
root_relative_squared_error
0.423351718987949
root_relative_squared_error
0.8271582260854996
total_cost
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total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
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total_cost
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total_cost
0
total_cost
0
usercpu_time_millis
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147851.8125289993
usercpu_time_millis
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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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