10309719
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)
8170756
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
1000000000.0
15084
kernel
"laplace"
15084
kernel_params
"null"
15084
n_components
2000
15084
n_epoch
2
15084
random_state
39135
15084
subsample_size
"auto"
15084
openml-python
Sklearn_0.21.2.
151
electricity
https://www.openml.org/data/download/2419/electricity-normalized.arff
-1
21541044
description
https://api.openml.org/data/download/21541044/description.xml
-1
21541045
predictions
https://api.openml.org/data/download/21541045/predictions.arff
area_under_roc_curve
0.836564233265124 [0.836564,0.836564]
average_cost
0
f_measure
0.8428264366787961 [0.810975,0.866325]
kappa
0.6774412329938766
kb_relative_information_score
0.6762506816662791
mean_absolute_error
0.15660310734463276
mean_prior_absolute_error
0.4886137014923867
number_of_instances
45312 [19237,26075]
precision
0.8429912583881223 [0.831667,0.851346]
predictive_accuracy
0.8433968926553672
prior_entropy
0.9835093906388539
recall
0.8433968926553672 [0.791288,0.881841]
relative_absolute_error
0.3205049446348218
root_mean_prior_squared_error
0.4942738102212943
root_mean_squared_error
0.3957311048485231
root_relative_squared_error
0.8006313437310141
total_cost
0
area_under_roc_curve
0.8378226917337347 [0.837823,0.837823]
area_under_roc_curve
0.8370944829917223 [0.837094,0.837094]
area_under_roc_curve
0.8309761142039624 [0.830976,0.830976]
area_under_roc_curve
0.8350851736927686 [0.835085,0.835085]
area_under_roc_curve
0.8309885746594606 [0.830989,0.830989]
area_under_roc_curve
0.8445817354045202 [0.844582,0.844582]
area_under_roc_curve
0.8329256272294248 [0.832926,0.832926]
area_under_roc_curve
0.8406313706535992 [0.840631,0.840631]
area_under_roc_curve
0.8385907675570826 [0.838591,0.838591]
area_under_roc_curve
0.836946760078992 [0.836947,0.836947]
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
0.8413772233464554 [0.813392,0.862023]
f_measure
0.8428829561763229 [0.811771,0.865835]
f_measure
0.8382602239994167 [0.80398,0.86356]
f_measure
0.840688240482631 [0.809524,0.863688]
f_measure
0.8380918226321337 [0.804079,0.863193]
f_measure
0.8517585779513704 [0.82014,0.875093]
f_measure
0.8390244864594568 [0.806803,0.862804]
f_measure
0.8476197420713198 [0.815471,0.871324]
f_measure
0.8452730832306533 [0.813169,0.868945]
f_measure
0.8431825420936433 [0.811401,0.866616]
kappa
0.6754152105129154
kappa
0.6776994270603791
kappa
0.6678175543355449
kappa
0.6732874712126596
kappa
0.6675217446808083
kappa
0.6955087687246975
kappa
0.6697270546350941
kappa
0.6870338191412062
kappa
0.6823071540403042
kappa
0.6781543094512201
kb_relative_information_score
0.6720186333305175
kb_relative_information_score
0.676124102454333
kb_relative_information_score
0.6673975108657944
kb_relative_information_score
0.6715037144353544
kb_relative_information_score
0.6669412660247311
kb_relative_information_score
0.6952284461705815
kb_relative_information_score
0.668310000547919
kb_relative_information_score
0.6865289311164162
kb_relative_information_score
0.6815097436961537
kb_relative_information_score
0.6769468460413701
mean_absolute_error
0.1586496028243601
mean_absolute_error
0.15666372462488967
mean_absolute_error
0.16089163540057383
mean_absolute_error
0.158905318914147
mean_absolute_error
0.16111233723239904
mean_absolute_error
0.14742882365923637
mean_absolute_error
0.1604502317369234
mean_absolute_error
0.15162215846391525
mean_absolute_error
0.1540498786139925
mean_absolute_error
0.15625689693224454
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
0.8414061259466973 [0.812338,0.862851]
precision
0.8429151302688118 [0.828463,0.853577]
precision
0.8388141878403935 [0.832869,0.843202]
precision
0.8406691095602159 [0.824353,0.85271]
precision
0.8385483916484056 [0.831299,0.843899]
precision
0.8524864455392791 [0.850838,0.853703]
precision
0.8391045237737265 [0.825449,0.849183]
precision
0.8481506447184581 [0.843333,0.851703]
precision
0.8456218096897975 [0.837838,0.851361]
precision
0.8433356727629292 [0.831786,0.851852]
predictive_accuracy
0.8413503971756399
predictive_accuracy
0.8433362753751104
predictive_accuracy
0.8391083645994262
predictive_accuracy
0.8410946810858531
predictive_accuracy
0.838887662767601
predictive_accuracy
0.8525711763407636
predictive_accuracy
0.8395497682630766
predictive_accuracy
0.8483778415360849
predictive_accuracy
0.8459501213860076
predictive_accuracy
0.8437431030677555
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
0.8413503971756399 [0.814449,0.861196]
recall
0.8433362753751104 [0.795738,0.878451]
recall
0.8391083645994262 [0.777027,0.884925]
recall
0.8410946810858531 [0.795218,0.874952]
recall
0.838887662767601 [0.778586,0.883391]
recall
0.8525711763407636 [0.79158,0.897583]
recall
0.8395497682630766 [0.788981,0.87687]
recall
0.8483778415360848 [0.789392,0.891871]
recall
0.8459501213860076 [0.789912,0.88727]
recall
0.8437431030677555 [0.791992,0.881902]
relative_absolute_error
0.32469419269886274
relative_absolute_error
0.3206298703980424
relative_absolute_error
0.3292732354641273
relative_absolute_error
0.32520813379173064
relative_absolute_error
0.3297249134277269
relative_absolute_error
0.3017208796845501
relative_absolute_error
0.32836987953692803
relative_absolute_error
0.3103239124768399
relative_absolute_error
0.31529270874648363
relative_absolute_error
0.3198097962643416
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
0.3983084267553978
root_mean_squared_error
0.39580768641461433
root_mean_squared_error
0.40111299580115056
root_mean_squared_error
0.3986293001199824
root_mean_squared_error
0.40138801331429796
root_mean_squared_error
0.38396461250906494
root_mean_squared_error
0.4005623943119516
root_mean_squared_error
0.38938690073487997
root_mean_squared_error
0.39249188350078335
root_mean_squared_error
0.3952934314306836
root_relative_squared_error
0.8058478810309032
root_relative_squared_error
0.800788444249601
root_relative_squared_error
0.8114985345559843
root_relative_squared_error
0.8064737275149524
root_relative_squared_error
0.8120549271716128
root_relative_squared_error
0.7768053482040004
root_relative_squared_error
0.8103846033039767
root_relative_squared_error
0.7878289702861863
root_relative_squared_error
0.7941111420043447
root_relative_squared_error
0.7997793876917452
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
156348.5646629997
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usercpu_time_millis
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usercpu_time_millis
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159157.57096100424
usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis_testing
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usercpu_time_millis_training
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wall_clock_time_millis
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wall_clock_time_millis
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