10311890
8323
Heinrich Peters
219
Supervised Classification
15083
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,fkceigenpro=sklearn_extra.fast_kernel.FKCEigenPro)(1)
8171308
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
4
15084
gamma
100.0
15084
kernel
"laplace"
15084
kernel_params
"null"
15084
n_components
500
15084
n_epoch
2
15084
random_state
65513
15084
subsample_size
"auto"
15084
openml-python
Sklearn_0.21.2.
151
electricity
https://www.openml.org/data/download/2419/electricity-normalized.arff
-1
21545387
description
https://api.openml.org/data/download/21545387/description.xml
-1
21545388
predictions
https://api.openml.org/data/download/21545388/predictions.arff
area_under_roc_curve
0.837601514060547 [0.837602,0.837602]
average_cost
0
f_measure
0.8443358698595805 [0.812015,0.868181]
kappa
0.680397220035912
kb_relative_information_score
0.6796268724155361
mean_absolute_error
0.1549699858757062
mean_prior_absolute_error
0.4886137014923867
number_of_instances
45312 [19237,26075]
precision
0.8447040135435928 [0.837114,0.850303]
predictive_accuracy
0.8450300141242938
prior_entropy
0.9835093906388539
recall
0.8450300141242938 [0.788377,0.886826]
relative_absolute_error
0.31716258754590176
root_mean_prior_squared_error
0.4942738102212943
root_mean_squared_error
0.3936622738791542
root_relative_squared_error
0.7964457467469405
total_cost
0
area_under_roc_curve
0.8402982825912274 [0.840298,0.840298]
area_under_roc_curve
0.8375377058275831 [0.837538,0.837538]
area_under_roc_curve
0.8339402073579288 [0.83394,0.83394]
area_under_roc_curve
0.8356912502482121 [0.835691,0.835691]
area_under_roc_curve
0.8364699788750422 [0.83647,0.83647]
area_under_roc_curve
0.836161158945969 [0.836161,0.836161]
area_under_roc_curve
0.8399231199864111 [0.839923,0.839923]
area_under_roc_curve
0.8442032236504184 [0.844203,0.844203]
area_under_roc_curve
0.8374561132752059 [0.837456,0.837456]
area_under_roc_curve
0.834333496039228 [0.834333,0.834333]
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
0.8463450767450306 [0.815426,0.869155]
f_measure
0.844379124270543 [0.811897,0.868342]
f_measure
0.8402837059866952 [0.807887,0.864193]
f_measure
0.8418688880593207 [0.810005,0.865385]
f_measure
0.8444573298561381 [0.810195,0.869743]
f_measure
0.843015029742422 [0.810289,0.867167]
f_measure
0.8464179998352549 [0.814854,0.869712]
f_measure
0.8508080624754215 [0.819813,0.873662]
f_measure
0.8446847688207249 [0.811625,0.869061]
f_measure
0.8410685632620015 [0.808135,0.865352]
kappa
0.6847033179247493
kappa
0.68045527227146
kappa
0.6722283698231268
kappa
0.675521796509742
kappa
0.6803513162467035
kappa
0.6776744113142135
kappa
0.684741327352623
kappa
0.6936647588542597
kappa
0.6809577965416659
kappa
0.6736818083062541
kb_relative_information_score
0.6834227142300117
kb_relative_information_score
0.6797734083421699
kb_relative_information_score
0.6710474695942927
kb_relative_information_score
0.674241183481726
kb_relative_information_score
0.6806286112565932
kb_relative_information_score
0.6769786525280981
kb_relative_information_score
0.6838223251440303
kb_relative_information_score
0.6929169878331138
kb_relative_information_score
0.6805971641651969
kb_relative_information_score
0.672840238152064
mean_absolute_error
0.1531332744924978
mean_absolute_error
0.15489849955869373
mean_absolute_error
0.15912602074597218
mean_absolute_error
0.15758110792319577
mean_absolute_error
0.15449128227764292
mean_absolute_error
0.15625689693224454
mean_absolute_error
0.15294636945486648
mean_absolute_error
0.1485323328183624
mean_absolute_error
0.15449128227764292
mean_absolute_error
0.15824321341867137
mean_prior_absolute_error
0.48861238171727794
mean_prior_absolute_error
0.48861238171727794
mean_prior_absolute_error
0.48862652068817236
mean_prior_absolute_error
0.48862652068817236
mean_prior_absolute_error
0.48862652068817236
mean_prior_absolute_error
0.48862652068817236
mean_prior_absolute_error
0.48862652068817236
mean_prior_absolute_error
0.4885932162099533
mean_prior_absolute_error
0.4885932162099533
mean_prior_absolute_error
0.4885932162099533
number_of_instances
4532 [1924,2608]
number_of_instances
4532 [1924,2608]
number_of_instances
4531 [1924,2607]
number_of_instances
4531 [1924,2607]
number_of_instances
4531 [1924,2607]
number_of_instances
4531 [1924,2607]
number_of_instances
4531 [1924,2607]
number_of_instances
4531 [1923,2608]
number_of_instances
4531 [1923,2608]
number_of_instances
4531 [1923,2608]
precision
0.8464783176211322 [0.834967,0.85497]
precision
0.8447966375126854 [0.837942,0.849853]
precision
0.8404518675595772 [0.828868,0.849001]
precision
0.8420004655432235 [0.82988,0.850945]
precision
0.8455914098965731 [0.846939,0.844597]
precision
0.8434253100459642 [0.836283,0.848696]
precision
0.8467175338198979 [0.838373,0.852876]
precision
0.8512004780620709 [0.844923,0.855829]
precision
0.8452969480218488 [0.841049,0.84843]
precision
0.841381996957181 [0.832415,0.847994]
predictive_accuracy
0.8468667255075022
predictive_accuracy
0.8451015004413063
predictive_accuracy
0.8408739792540278
predictive_accuracy
0.8424188920768043
predictive_accuracy
0.8455087177223571
predictive_accuracy
0.8437431030677555
predictive_accuracy
0.8470536305451336
predictive_accuracy
0.8514676671816376
predictive_accuracy
0.8455087177223571
predictive_accuracy
0.8417567865813287
prior_entropy
0.9835055532661361
prior_entropy
0.9835055532661361
prior_entropy
0.98354666368022
prior_entropy
0.98354666368022
prior_entropy
0.98354666368022
prior_entropy
0.98354666368022
prior_entropy
0.98354666368022
prior_entropy
0.9834498277152368
prior_entropy
0.9834498277152368
prior_entropy
0.9834498277152368
recall
0.8468667255075022 [0.796778,0.883819]
recall
0.8451015004413063 [0.787422,0.887653]
recall
0.8408739792540278 [0.787942,0.879939]
recall
0.8424188920768042 [0.79106,0.880322]
recall
0.8455087177223571 [0.776507,0.896433]
recall
0.8437431030677555 [0.785863,0.88646]
recall
0.8470536305451335 [0.79262,0.887227]
recall
0.8514676671816376 [0.796152,0.892255]
recall
0.8455087177223571 [0.784191,0.890721]
recall
0.8417567865813286 [0.785231,0.883436]
relative_absolute_error
0.3134044085299175
relative_absolute_error
0.31701713946397997
relative_absolute_error
0.32565981175533026
relative_absolute_error
0.3224980660101329
relative_absolute_error
0.3161745745197381
relative_absolute_error
0.3197879982285351
relative_absolute_error
0.31301282877454073
relative_absolute_error
0.3039999899518388
relative_absolute_error
0.3161961262500552
relative_absolute_error
0.32387517503041363
root_mean_prior_squared_error
0.49427247515480305
root_mean_prior_squared_error
0.49427247515480305
root_mean_prior_squared_error
0.4942867777581652
root_mean_prior_squared_error
0.4942867777581652
root_mean_prior_squared_error
0.4942867777581652
root_mean_prior_squared_error
0.4942867777581652
root_mean_prior_squared_error
0.4942867777581652
root_mean_prior_squared_error
0.494253087181386
root_mean_prior_squared_error
0.494253087181386
root_mean_prior_squared_error
0.494253087181386
root_mean_squared_error
0.39132246867832393
root_mean_squared_error
0.3935714669011128
root_mean_squared_error
0.3989060299694305
root_mean_squared_error
0.39696486988547963
root_mean_squared_error
0.3930537905651629
root_mean_squared_error
0.3952934314306836
root_mean_squared_error
0.39108358371947355
root_mean_squared_error
0.3853989268515967
root_mean_squared_error
0.3930537905651629
root_mean_squared_error
0.39779795552349356
root_relative_squared_error
0.7917140612690686
root_relative_squared_error
0.7962641795456011
root_relative_squared_error
0.8070335843873195
root_relative_squared_error
0.8031063903548289
root_relative_squared_error
0.7951938191586998
root_relative_squared_error
0.7997248747448488
root_relative_squared_error
0.7912078601277398
root_relative_squared_error
0.7797602824282595
root_relative_squared_error
0.7952480232478872
root_relative_squared_error
0.8048466784336051
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
157515.58568398468
usercpu_time_millis
158414.0369130182
usercpu_time_millis
173787.56013303064
usercpu_time_millis
177238.38862299453
usercpu_time_millis
184238.85166100808
usercpu_time_millis
248432.33930601855
usercpu_time_millis
142766.05668204138
usercpu_time_millis
171748.3441339864
usercpu_time_millis
136814.23396003083
usercpu_time_millis
185000.61438197736
usercpu_time_millis_testing
7700.742849992821
usercpu_time_millis_testing
11675.290362007217
usercpu_time_millis_testing
11634.491499018623
usercpu_time_millis_testing
10115.23912899429
usercpu_time_millis_testing
12871.001655003056
usercpu_time_millis_testing
12203.043924993835
usercpu_time_millis_testing
8355.980590014951
usercpu_time_millis_testing
10398.871254990809
usercpu_time_millis_testing
7734.351835009875
usercpu_time_millis_testing
8669.59569498431
usercpu_time_millis_training
149814.84283399186
usercpu_time_millis_training
146738.746551011
usercpu_time_millis_training
162153.06863401202
usercpu_time_millis_training
167123.14949400024
usercpu_time_millis_training
171367.85000600503
usercpu_time_millis_training
236229.2953810247
usercpu_time_millis_training
134410.07609202643
usercpu_time_millis_training
161349.47287899558
usercpu_time_millis_training
129079.88212502096
usercpu_time_millis_training
176331.01868699305
wall_clock_time_millis
157533.73384475708
wall_clock_time_millis
158427.57725715637
wall_clock_time_millis
173822.56031036377
wall_clock_time_millis
177350.43692588806
wall_clock_time_millis
184300.5392551422
wall_clock_time_millis
248508.71396064758
wall_clock_time_millis
142775.7465839386
wall_clock_time_millis
171768.1906223297
wall_clock_time_millis
136824.83911514282
wall_clock_time_millis
185030.23195266724
wall_clock_time_millis_testing
7701.016426086426
wall_clock_time_millis_testing
11675.755500793457
wall_clock_time_millis_testing
11636.677265167236
wall_clock_time_millis_testing
10119.202136993408
wall_clock_time_millis_testing
12875.155687332153
wall_clock_time_millis_testing
12206.59613609314
wall_clock_time_millis_testing
8356.29677772522
wall_clock_time_millis_testing
10399.37710762024
wall_clock_time_millis_testing
7736.422538757324
wall_clock_time_millis_testing
8671.342134475708
wall_clock_time_millis_training
149832.71741867065
wall_clock_time_millis_training
146751.82175636292
wall_clock_time_millis_training
162185.88304519653
wall_clock_time_millis_training
167231.23478889465
wall_clock_time_millis_training
171425.38356781006
wall_clock_time_millis_training
236302.11782455444
wall_clock_time_millis_training
134419.44980621338
wall_clock_time_millis_training
161368.81351470947
wall_clock_time_millis_training
129088.4165763855
wall_clock_time_millis_training
176358.88981819153