10311271
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)
8171384
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
0.0001
15084
kernel
"rbf"
15084
kernel_params
"\"null\""
15084
n_components
1000
15084
n_epoch
2
15084
random_state
18458
15084
subsample_size
"auto"
15084
openml-python
Sklearn_0.21.2.
1486
nomao
https://www.openml.org/data/download/1592278/phpDYCOet
-1
21544149
description
https://api.openml.org/data/download/21544149/description.xml
-1
21544150
predictions
https://api.openml.org/data/download/21544150/predictions.arff
area_under_roc_curve
0.9471003410483919 [0.9471,0.9471]
average_cost
0
f_measure
0.9588078875192674 [0.927459,0.971342]
kappa
0.8988038113688531
kb_relative_information_score
0.8908353324495404
mean_absolute_error
0.04108515885681126
mean_prior_absolute_error
0.4080904194746198
number_of_instances
34465 [9844,24621]
precision
0.958756225534156 [0.935511,0.96805]
predictive_accuracy
0.9589148411431887
prior_entropy
0.8629999933345911
recall
0.9589148411431887 [0.919545,0.974656]
relative_absolute_error
0.10067660718353728
root_mean_prior_squared_error
0.4517106852187937
root_mean_squared_error
0.20269474304187382
root_relative_squared_error
0.4487269167513609
total_cost
0
area_under_roc_curve
0.9440184238931305 [0.944018,0.944018]
area_under_roc_curve
0.9365443059375606 [0.936544,0.936544]
area_under_roc_curve
0.9438548165619961 [0.943855,0.943855]
area_under_roc_curve
0.9504544198724162 [0.950454,0.950454]
area_under_roc_curve
0.949642072187607 [0.949642,0.949642]
area_under_roc_curve
0.9434035551769002 [0.943404,0.943404]
area_under_roc_curve
0.9530605033913864 [0.953061,0.953061]
area_under_roc_curve
0.9545824169655182 [0.954582,0.954582]
area_under_roc_curve
0.94817981282981 [0.94818,0.94818]
area_under_roc_curve
0.9472622066797436 [0.947262,0.947262]
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
0.957742964042489 [0.925219,0.970737]
f_measure
0.9472642763729476 [0.907988,0.962978]
f_measure
0.9549851045958045 [0.921039,0.968566]
f_measure
0.9613262935251776 [0.931969,0.973071]
f_measure
0.9601880040283964 [0.930066,0.972239]
f_measure
0.9577034871411277 [0.925065,0.970748]
f_measure
0.9608656834957463 [0.931646,0.972544]
f_measure
0.964245908270542 [0.937149,0.975076]
f_measure
0.9606710608413646 [0.93052,0.972722]
f_measure
0.9631307452176604 [0.934238,0.974678]
kappa
0.8959649213734467
kappa
0.8709667467167534
kappa
0.8896059982631518
kappa
0.9050429941269494
kappa
0.9023066915217198
kappa
0.8958248635134126
kappa
0.9041902873446985
kappa
0.912225784527428
kappa
0.9032478652387367
kappa
0.9089422778481491
kb_relative_information_score
0.8882033834665704
kb_relative_information_score
0.8597383419293226
kb_relative_information_score
0.8805463901046435
kb_relative_information_score
0.8975010960252757
kb_relative_information_score
0.8944184222215245
kb_relative_information_score
0.8881851388927386
kb_relative_information_score
0.8958965086242741
kb_relative_information_score
0.9051501523021167
kb_relative_information_score
0.8958965086242746
kb_relative_information_score
0.9028367413826563
mean_absolute_error
0.042065564258775744
mean_absolute_error
0.05279953582825646
mean_absolute_error
0.044966637655932694
mean_absolute_error
0.03858427618218741
mean_absolute_error
0.03974470554105019
mean_absolute_error
0.04207777132907719
mean_absolute_error
0.0391758560650029
mean_absolute_error
0.03569355774811375
mean_absolute_error
0.0391758560650029
mean_absolute_error
0.03656413232733604
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
0.957717198509684 [0.939267,0.965088]
precision
0.9473402201684393 [0.90433,0.964548]
precision
0.9549463287725215 [0.924335,0.967193]
precision
0.9612810419480959 [0.939175,0.970125]
precision
0.960144373629045 [0.935318,0.970077]
precision
0.9576999235760307 [0.941115,0.964329]
precision
0.9609167234177459 [0.928355,0.973931]
precision
0.9642092063481456 [0.942446,0.972907]
precision
0.9606414383494385 [0.942649,0.967833]
precision
0.9633710137341669 [0.9603,0.964598]
predictive_accuracy
0.9579344357412242
predictive_accuracy
0.9472004641717436
predictive_accuracy
0.9550333623440673
predictive_accuracy
0.9614157238178126
predictive_accuracy
0.9602552944589497
predictive_accuracy
0.9579222286709228
predictive_accuracy
0.960824143934997
predictive_accuracy
0.9643064422518863
predictive_accuracy
0.960824143934997
predictive_accuracy
0.963435867672664
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
0.9579344357412243 [0.911585,0.976451]
recall
0.9472004641717435 [0.911675,0.961413]
recall
0.9550333623440673 [0.917766,0.969943]
recall
0.9614157238178126 [0.924873,0.976036]
recall
0.9602552944589499 [0.924873,0.974411]
recall
0.9579222286709228 [0.909553,0.977254]
recall
0.960824143934997 [0.934959,0.971162]
recall
0.9643064422518862 [0.931911,0.977254]
recall
0.960824143934997 [0.918699,0.97766]
recall
0.963435867672664 [0.909553,0.984972]
relative_absolute_error
0.10309608515157699
relative_absolute_error
0.12936392811375808
relative_absolute_error
0.11017257614083792
relative_absolute_error
0.09453517823697707
relative_absolute_error
0.09737834149222449
relative_absolute_error
0.10311702708583503
relative_absolute_error
0.09600550797646709
relative_absolute_error
0.08747168504522557
relative_absolute_error
0.09600550797646709
relative_absolute_error
0.08960514077803597
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
0.20509891335347377
root_mean_squared_error
0.22978149583518787
root_mean_squared_error
0.21205338397661258
root_mean_squared_error
0.19642880690516706
root_mean_squared_error
0.19936074222637262
root_mean_squared_error
0.20512867017820105
root_mean_squared_error
0.1979289166973914
root_mean_squared_error
0.1889273875014254
root_mean_squared_error
0.1979289166973914
root_mean_squared_error
0.19121750005513627
root_relative_squared_error
0.4541244207882015
root_relative_squared_error
0.5086208751227449
root_relative_squared_error
0.46937973546957684
root_relative_squared_error
0.4347947658025614
root_relative_squared_error
0.4412845986912135
root_relative_squared_error
0.45415077128721626
root_relative_squared_error
0.4382106611429494
root_relative_squared_error
0.41828145561765173
root_relative_squared_error
0.4382106611429494
root_relative_squared_error
0.423351718987949
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
97484.92991001694
usercpu_time_millis
99638.89762799954
usercpu_time_millis
94544.47009900468
usercpu_time_millis
74977.69502500887
usercpu_time_millis
79064.03216303443
usercpu_time_millis
90281.88203601167
usercpu_time_millis
76090.07399799884
usercpu_time_millis
79942.15126900235
usercpu_time_millis
89280.31652900972
usercpu_time_millis
84733.69932200876
usercpu_time_millis_testing
5244.929689011769
usercpu_time_millis_testing
5341.986785992049
usercpu_time_millis_testing
3788.6474020197056
usercpu_time_millis_testing
3844.781095016515
usercpu_time_millis_testing
3951.162588025909
usercpu_time_millis_testing
3904.8986659909133
usercpu_time_millis_testing
3942.933868995169
usercpu_time_millis_testing
4612.562661000993
usercpu_time_millis_testing
3865.348285995424
usercpu_time_millis_testing
5000.677970005199
usercpu_time_millis_training
92240.00022100518
usercpu_time_millis_training
94296.91084200749
usercpu_time_millis_training
90755.82269698498
usercpu_time_millis_training
71132.91392999236
usercpu_time_millis_training
75112.86957500852
usercpu_time_millis_training
86376.98337002075
usercpu_time_millis_training
72147.14012900367
usercpu_time_millis_training
75329.58860800136
usercpu_time_millis_training
85414.9682430143
usercpu_time_millis_training
79733.02135200356
wall_clock_time_millis
97494.3311214447
wall_clock_time_millis
99653.77306938171
wall_clock_time_millis
94547.25551605225
wall_clock_time_millis
74980.02886772156
wall_clock_time_millis
79068.42756271362
wall_clock_time_millis
90310.02998352051
wall_clock_time_millis
76094.54846382141
wall_clock_time_millis
79947.52216339111
wall_clock_time_millis
89287.93096542358
wall_clock_time_millis
84738.3279800415
wall_clock_time_millis_testing
5245.115041732788
wall_clock_time_millis_testing
5343.733549118042
wall_clock_time_millis_testing
3788.7721061706543
wall_clock_time_millis_testing
3844.8712825775146
wall_clock_time_millis_testing
3952.5864124298096
wall_clock_time_millis_testing
3905.0207138061523
wall_clock_time_millis_testing
3943.0599212646484
wall_clock_time_millis_testing
4612.664461135864
wall_clock_time_millis_testing
3865.480899810791
wall_clock_time_millis_testing
5000.833511352539
wall_clock_time_millis_training
92249.21607971191
wall_clock_time_millis_training
94310.03952026367
wall_clock_time_millis_training
90758.48340988159
wall_clock_time_millis_training
71135.15758514404
wall_clock_time_millis_training
75115.84115028381
wall_clock_time_millis_training
86405.00926971436
wall_clock_time_millis_training
72151.48854255676
wall_clock_time_millis_training
75334.85770225525
wall_clock_time_millis_training
85422.4500656128
wall_clock_time_millis_training
79737.49446868896