10311858
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)
8171283
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
1.0
15084
kernel
"rbf"
15084
kernel_params
"null"
15084
n_components
4000
15084
n_epoch
2
15084
random_state
64032
15084
subsample_size
"auto"
15084
openml-python
Sklearn_0.21.2.
151
electricity
https://www.openml.org/data/download/2419/electricity-normalized.arff
-1
21545323
description
https://api.openml.org/data/download/21545323/description.xml
-1
21545324
predictions
https://api.openml.org/data/download/21545324/predictions.arff
area_under_roc_curve
0.7710827463713837 [0.771083,0.771083]
average_cost
0
f_measure
0.781264826869496 [0.729983,0.819098]
kappa
0.55010333704642
kb_relative_information_score
0.5521072353325919
mean_absolute_error
0.21665342514124294
mean_prior_absolute_error
0.4886137014923867
number_of_instances
45312 [19237,26075]
precision
0.7827285844397773 [0.775117,0.788344]
predictive_accuracy
0.7833465748587571
prior_entropy
0.9835093906388539
recall
0.783346574858757 [0.689816,0.852349]
relative_absolute_error
0.4434043181341666
root_mean_prior_squared_error
0.4942738102212943
root_mean_squared_error
0.46546044422833927
root_relative_squared_error
0.9417056590960083
total_cost
0
area_under_roc_curve
0.7705915271099321 [0.770592,0.770592]
area_under_roc_curve
0.7658794944071019 [0.765879,0.765879]
area_under_roc_curve
0.7569325987047506 [0.756933,0.756933]
area_under_roc_curve
0.7689798654988529 [0.76898,0.76898]
area_under_roc_curve
0.7706187642896504 [0.770619,0.770619]
area_under_roc_curve
0.7687124142820345 [0.768712,0.768712]
area_under_roc_curve
0.7800979810473482 [0.780098,0.780098]
area_under_roc_curve
0.7774100611263715 [0.77741,0.77741]
area_under_roc_curve
0.7675584784127562 [0.767558,0.767558]
area_under_roc_curve
0.7840469063547818 [0.784047,0.784047]
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
0.7807876100657837 [0.729373,0.818718]
f_measure
0.7754129798640806 [0.724796,0.812755]
f_measure
0.767475047918739 [0.712435,0.808096]
f_measure
0.7780296627421605 [0.729195,0.81407]
f_measure
0.7809014989406196 [0.729276,0.819002]
f_measure
0.7801636164183074 [0.725035,0.820849]
f_measure
0.789532053280182 [0.741812,0.82475]
f_measure
0.7876073250546585 [0.737538,0.824526]
f_measure
0.7790527464386726 [0.723559,0.819971]
f_measure
0.7935104783057477 [0.746448,0.828212]
kappa
0.5491174629263251
kappa
0.5382895332501096
kappa
0.5217152105099258
kappa
0.5438470629102343
kappa
0.5493537983664736
kappa
0.5476030791210853
kappa
0.5673028157298399
kappa
0.5630878916144976
kappa
0.5452452080688758
kappa
0.5754028240854905
kb_relative_information_score
0.5511353757958223
kb_relative_information_score
0.5392751316603452
kb_relative_information_score
0.5241366307722787
kb_relative_information_score
0.544211403779014
kb_relative_information_score
0.5515113212360058
kb_relative_information_score
0.5515113212360042
kb_relative_information_score
0.568392380355305
kb_relative_information_score
0.5651558534991541
kb_relative_information_score
0.5491857117074074
kb_relative_information_score
0.5765630976361149
mean_absolute_error
0.21712268314210062
mean_absolute_error
0.2228596646072374
mean_absolute_error
0.23019201059368793
mean_absolute_error
0.22048112999337893
mean_absolute_error
0.2169499006841757
mean_absolute_error
0.2169499006841757
mean_absolute_error
0.20878393290664313
mean_absolute_error
0.21032884572941957
mean_absolute_error
0.2180534098433017
mean_absolute_error
0.20481129993378944
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
0.7822499918244117 [0.774533,0.787943]
precision
0.7761564660879571 [0.761741,0.786791]
precision
0.7689368990522136 [0.758661,0.776521]
precision
0.7785140998034237 [0.76204,0.790672]
precision
0.7824799103384116 [0.77563,0.787535]
precision
0.7832329241370761 [0.784979,0.781944]
precision
0.7905448340164699 [0.781034,0.797564]
precision
0.7892360280219001 [0.783958,0.793128]
precision
0.782061352435694 [0.783162,0.78125]
precision
0.7946045146943179 [0.786413,0.800644]
predictive_accuracy
0.7828773168578994
predictive_accuracy
0.7771403353927626
predictive_accuracy
0.769807989406312
predictive_accuracy
0.7795188700066211
predictive_accuracy
0.7830500993158244
predictive_accuracy
0.7830500993158244
predictive_accuracy
0.7912160670933569
predictive_accuracy
0.7896711542705804
predictive_accuracy
0.7819465901566983
predictive_accuracy
0.7951887000662106
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
0.7828773168578994 [0.689189,0.851994]
recall
0.7771403353927626 [0.691268,0.840491]
recall
0.7698079894063121 [0.671518,0.842348]
recall
0.779518870006621 [0.699064,0.838895]
recall
0.7830500993158244 [0.68815,0.853088]
recall
0.7830500993158244 [0.673597,0.863828]
recall
0.7912160670933569 [0.706341,0.853855]
recall
0.7896711542705804 [0.696308,0.858512]
recall
0.7819465901566983 [0.672387,0.86273]
recall
0.7951887000662106 [0.710348,0.857745]
relative_absolute_error
0.44436590488968136
relative_absolute_error
0.45610728042538434
relative_absolute_error
0.4711001160344098
relative_absolute_error
0.4512262856360262
relative_absolute_error
0.44399943821843224
relative_absolute_error
0.44399943821843224
relative_absolute_error
0.4272873535652461
relative_absolute_error
0.4304784404518609
relative_absolute_error
0.4462882467643637
relative_absolute_error
0.419185721657216
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
0.46596425092715066
root_mean_squared_error
0.47208014638113877
root_mean_squared_error
0.47978329545086074
root_mean_squared_error
0.4695541821700441
root_mean_squared_error
0.4657788109008134
root_mean_squared_error
0.4657788109008134
root_mean_squared_error
0.45692880507431693
root_mean_squared_error
0.4586162292477443
root_mean_squared_error
0.4669618933524466
root_mean_squared_error
0.45256082456813407
root_relative_squared_error
0.9427274921210484
root_relative_squared_error
0.9551010224336004
root_relative_squared_error
0.9706577578848358
root_relative_squared_error
0.949963064558806
root_relative_squared_error
0.9423250466325449
root_relative_squared_error
0.9423250466325449
root_relative_squared_error
0.9244204490897266
root_relative_squared_error
0.9278975511577062
root_relative_squared_error
0.9447829572809046
root_relative_squared_error
0.9156459237290484
total_cost
0
total_cost
0
total_cost
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total_cost
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total_cost
0
total_cost
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total_cost
0
total_cost
0
total_cost
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total_cost
0
usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis_testing
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wall_clock_time_millis
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