10309941
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)
8170763
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
1e-06
15084
kernel
"rbf"
15084
kernel_params
"null"
15084
n_components
500
15084
n_epoch
2
15084
random_state
11150
15084
subsample_size
"auto"
15084
openml-python
Sklearn_0.21.2.
151
electricity
https://www.openml.org/data/download/2419/electricity-normalized.arff
-1
21541488
description
https://api.openml.org/data/download/21541488/description.xml
-1
21541489
predictions
https://api.openml.org/data/download/21541489/predictions.arff
area_under_roc_curve
0.7728348170130558 [0.772835,0.772835]
average_cost
0
f_measure
0.78280024642474 [0.732406,0.819979]
kappa
0.5533143815295645
kb_relative_information_score
0.5550271840886826
mean_absolute_error
0.21524099576271186
mean_prior_absolute_error
0.4886137014923867
number_of_instances
45312 [19237,26075]
precision
0.7840938546658477 [0.775537,0.790406]
predictive_accuracy
0.7847590042372882
prior_entropy
0.9835093906388539
recall
0.7847590042372882 [0.693819,0.85185]
relative_absolute_error
0.4405136309221276
root_mean_prior_squared_error
0.4942738102212943
root_mean_squared_error
0.46394072440637485
root_relative_squared_error
0.938631007373547
total_cost
0
area_under_roc_curve
0.7796616519776027 [0.779662,0.779662]
area_under_roc_curve
0.7708808974146397 [0.770881,0.770881]
area_under_roc_curve
0.7577429270467245 [0.757743,0.757743]
area_under_roc_curve
0.7705333354067532 [0.770533,0.770533]
area_under_roc_curve
0.7694987188658075 [0.769499,0.769499]
area_under_roc_curve
0.7712373013005924 [0.771237,0.771237]
area_under_roc_curve
0.7803022328338785 [0.780302,0.780302]
area_under_roc_curve
0.7791486812846747 [0.779149,0.779149]
area_under_roc_curve
0.7660247360814678 [0.766025,0.766025]
area_under_roc_curve
0.7833113401223165 [0.783311,0.783311]
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
0.7892753629535695 [0.741045,0.824857]
f_measure
0.7791222143057881 [0.732546,0.813483]
f_measure
0.7685969713792323 [0.712822,0.80976]
f_measure
0.7786722279801923 [0.732296,0.812898]
f_measure
0.7800679574818322 [0.727474,0.818883]
f_measure
0.781826868706899 [0.729535,0.820419]
f_measure
0.7895990884637287 [0.742234,0.824555]
f_measure
0.7893662588674064 [0.739598,0.826063]
f_measure
0.7773753527450834 [0.721943,0.818248]
f_measure
0.7938437646694085 [0.744186,0.830459]
kappa
0.5667006564401198
kappa
0.5463795357303073
kappa
0.5239400944187179
kappa
0.5455236379190848
kappa
0.5475720344810335
kappa
0.5511807626239709
kappa
0.5674817424780746
kappa
0.5666955044176002
kappa
0.5418180444788826
kappa
0.5758246287415358
kb_relative_information_score
0.5680134155270817
kb_relative_information_score
0.545661416964067
kb_relative_information_score
0.5268740998186512
kb_relative_information_score
0.5446676486200768
kb_relative_information_score
0.5501425867128188
kb_relative_information_score
0.5537925454413163
kb_relative_information_score
0.5683923803553046
kb_relative_information_score
0.5688061716229814
kb_relative_information_score
0.5455353935835794
kb_relative_information_score
0.5783882566980272
mean_absolute_error
0.20895851721094438
mean_absolute_error
0.21977052074139453
mean_absolute_error
0.2288677996027367
mean_absolute_error
0.22026042816155375
mean_absolute_error
0.2176120061796513
mean_absolute_error
0.21584639152504967
mean_absolute_error
0.20878393290664313
mean_absolute_error
0.20856323107481792
mean_absolute_error
0.21981902449790333
mean_absolute_error
0.20392849260648863
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
0.7904163926875034 [0.781881,0.796713]
precision
0.7792104415632823 [0.757778,0.795022]
precision
0.7704455761100579 [0.762893,0.77602]
precision
0.7787236120084009 [0.756652,0.795013]
precision
0.7819397905675227 [0.77686,0.785689]
precision
0.7837774742009055 [0.779551,0.786897]
precision
0.7905035980572199 [0.780069,0.798205]
precision
0.7910679561499401 [0.786635,0.794336]
precision
0.7801078236288616 [0.779385,0.780641]
precision
0.7960439753556601 [0.795737,0.79627]
predictive_accuracy
0.7910414827890555
predictive_accuracy
0.7802294792586055
predictive_accuracy
0.7711322003972633
predictive_accuracy
0.7797395718384463
predictive_accuracy
0.7823879938203487
predictive_accuracy
0.7841536084749504
predictive_accuracy
0.7912160670933569
predictive_accuracy
0.791436768925182
predictive_accuracy
0.7801809755020966
predictive_accuracy
0.7960715073935114
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
0.7910414827890556 [0.704262,0.855061]
recall
0.7802294792586054 [0.70894,0.832822]
recall
0.7711322003972633 [0.668919,0.846567]
recall
0.7797395718384462 [0.709459,0.831607]
recall
0.7823879938203487 [0.683992,0.855006]
recall
0.7841536084749503 [0.685551,0.856924]
recall
0.7912160670933569 [0.7079,0.852704]
recall
0.7914367689251821 [0.697868,0.860429]
recall
0.7801809755020966 [0.672387,0.859663]
recall
0.7960715073935114 [0.698908,0.867715]
relative_absolute_error
0.4276570243196425
relative_absolute_error
0.4497850012907751
relative_absolute_error
0.468390048252812
relative_absolute_error
0.4507746076724266
relative_absolute_error
0.44535447210923107
relative_absolute_error
0.4417410484004341
relative_absolute_error
0.4272873535652461
relative_absolute_error
0.4268647704375745
relative_absolute_error
0.44990191677865
relative_absolute_error
0.41737888665007283
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
0.4571198061897388
root_mean_squared_error
0.4687968864459261
root_mean_squared_error
0.4784012955696679
root_mean_squared_error
0.46931911122556447
root_mean_squared_error
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root_mean_squared_error
0.46459271574686756
root_mean_squared_error
0.45692880507431693
root_mean_squared_error
0.4566872355067721
root_mean_squared_error
0.4688486157576914
root_mean_squared_error
0.4515844246721632
root_relative_squared_error
0.9248336275382758
root_relative_squared_error
0.9484584111205098
root_relative_squared_error
0.9678618103835472
root_relative_squared_error
0.9494874885267184
root_relative_squared_error
0.9437618836245599
root_relative_squared_error
0.9399254373220848
root_relative_squared_error
0.9244204490897266
root_relative_squared_error
0.9239947050430307
root_relative_squared_error
0.9486002777067704
root_relative_squared_error
0.9136704178166036
total_cost
0
total_cost
0
total_cost
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total_cost
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total_cost
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total_cost
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total_cost
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total_cost
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total_cost
0
usercpu_time_millis
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usercpu_time_millis_training
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