10315237
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)
8174109
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-10
15084
kernel
"laplace"
15084
kernel_params
null
15084
n_components
1000
15084
n_epoch
2
15084
random_state
36252
15084
subsample_size
"auto"
15084
openml-python
Sklearn_0.21.2.
151
electricity
https://www.openml.org/data/download/2419/electricity-normalized.arff
-1
21552121
description
https://api.openml.org/data/download/21552121/description.xml
-1
21552122
predictions
https://api.openml.org/data/download/21552122/predictions.arff
area_under_roc_curve
0.8365684218217421 [0.836568,0.836568]
average_cost
0
f_measure
0.8425804547926488 [0.811075,0.865824]
kappa
0.6770131117199497
kb_relative_information_score
0.6756119428758778
mean_absolute_error
0.15691207627118645
mean_prior_absolute_error
0.4886137014923867
number_of_instances
45312 [19237,26075]
precision
0.8426667177222554 [0.829592,0.852313]
predictive_accuracy
0.8430879237288136
prior_entropy
0.9835093906388539
recall
0.8430879237288136 [0.793367,0.87977]
relative_absolute_error
0.32113728246245543
root_mean_prior_squared_error
0.4942738102212943
root_mean_squared_error
0.3961212898484332
root_relative_squared_error
0.8014207543609956
total_cost
0
area_under_roc_curve
0.8338607897656978 [0.833861,0.833861]
area_under_roc_curve
0.8329364788337181 [0.832936,0.832936]
area_under_roc_curve
0.8287551626159221 [0.828755,0.828755]
area_under_roc_curve
0.8389401395730508 [0.83894,0.83894]
area_under_roc_curve
0.8342614877425005 [0.834261,0.834261]
area_under_roc_curve
0.8362359216789597 [0.836236,0.836236]
area_under_roc_curve
0.8413404220366246 [0.84134,0.84134]
area_under_roc_curve
0.8453247178966913 [0.845325,0.845325]
area_under_roc_curve
0.8370701852613982 [0.83707,0.83707]
area_under_roc_curve
0.836959920114596 [0.83696,0.83696]
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
0.8388801215674857 [0.808309,0.861433]
f_measure
0.8392321847894095 [0.806709,0.863225]
f_measure
0.835536389231251 [0.801604,0.860579]
f_measure
0.8437322829465377 [0.814289,0.865461]
f_measure
0.8415655345374521 [0.807858,0.866442]
f_measure
0.8419765702133997 [0.810811,0.864977]
f_measure
0.8468710768894733 [0.816834,0.869039]
f_measure
0.8515600710681761 [0.821238,0.873918]
f_measure
0.8433834145347422 [0.811517,0.86688]
f_measure
0.843008711738812 [0.811486,0.866252]
kappa
0.6697758396866147
kappa
0.6700746521287809
kappa
0.6623808542542599
kappa
0.6797778389327265
kappa
0.6745855286584224
kappa
0.6758770543884829
kappa
0.6859499960236083
kappa
0.6953028724195889
kappa
0.67854261786382
kappa
0.6778546998373368
kb_relative_information_score
0.6674570009707165
kb_relative_information_score
0.6688254906786553
kb_relative_information_score
0.6614663279319875
kb_relative_information_score
0.6774348973691627
kb_relative_information_score
0.6742411834817248
kb_relative_information_score
0.6742411834817271
kb_relative_information_score
0.6842785699850945
kb_relative_information_score
0.6942858571295498
kb_relative_information_score
0.6774031358068491
kb_relative_information_score
0.6764905562758926
mean_absolute_error
0.16085613415710504
mean_absolute_error
0.16019417475728157
mean_absolute_error
0.16376075921430147
mean_absolute_error
0.15603619510041933
mean_absolute_error
0.15758110792319577
mean_absolute_error
0.15758110792319577
mean_absolute_error
0.15272566762304127
mean_absolute_error
0.1478702273228868
mean_absolute_error
0.15603619510041933
mean_absolute_error
0.15647759876406975
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
0.8387850264765444 [0.817988,0.854127]
precision
0.8393682882441521 [0.826965,0.848519]
precision
0.8358096787553689 [0.825441,0.843462]
precision
0.8436416070766237 [0.823155,0.858761]
precision
0.8421872156944453 [0.837612,0.845564]
precision
0.84199405134063 [0.827027,0.85304]
precision
0.846881585892587 [0.832255,0.857677]
precision
0.8518095487519338 [0.843288,0.858093]
precision
0.8435645495218415 [0.832604,0.851646]
precision
0.8431034888771876 [0.83025,0.852581]
predictive_accuracy
0.839143865842895
predictive_accuracy
0.8398058252427184
predictive_accuracy
0.8362392407856986
predictive_accuracy
0.8439638048995807
predictive_accuracy
0.8424188920768043
predictive_accuracy
0.8424188920768043
predictive_accuracy
0.8472743323769588
predictive_accuracy
0.8521297726771132
predictive_accuracy
0.8439638048995807
predictive_accuracy
0.8435224012359303
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
0.839143865842895 [0.798857,0.868865]
recall
0.8398058252427184 [0.787422,0.878451]
recall
0.8362392407856986 [0.779106,0.878404]
recall
0.8439638048995807 [0.805613,0.872267]
recall
0.8424188920768042 [0.780146,0.888377]
recall
0.8424188920768042 [0.795218,0.877254]
recall
0.8472743323769587 [0.801975,0.880706]
recall
0.8521297726771132 [0.800312,0.890337]
recall
0.8439638048995807 [0.791472,0.882669]
recall
0.8435224012359303 [0.793552,0.880368]
relative_absolute_error
0.32921010636644077
relative_absolute_error
0.3278553322661674
relative_absolute_error
0.3351450489909224
relative_absolute_error
0.31933632026493547
relative_absolute_error
0.3224980660101329
relative_absolute_error
0.3224980660101329
relative_absolute_error
0.3125611508109411
relative_absolute_error
0.3026448636964814
relative_absolute_error
0.31935808751255573
relative_absolute_error
0.3202615050161273
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
0.40106873994005693
root_mean_squared_error
0.40024264485094735
root_mean_squared_error
0.40467364531718825
root_mean_squared_error
0.39501417075899864
root_mean_squared_error
0.39696486988547963
root_mean_squared_error
0.39696486988547963
root_mean_squared_error
0.3908013147662649
root_mean_squared_error
0.3845389802385277
root_mean_squared_error
0.39501417075899864
root_mean_squared_error
0.3955724949539209
root_relative_squared_error
0.811432479250326
root_relative_squared_error
0.8097611438419544
root_relative_squared_error
0.8187021452456875
root_relative_squared_error
0.7991598977229032
root_relative_squared_error
0.8031063903548289
root_relative_squared_error
0.8031063903548289
root_relative_squared_error
0.7906367970001988
root_relative_squared_error
0.7780203911956662
root_relative_squared_error
0.7992143721583521
root_relative_squared_error
0.8003440043435676
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
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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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usercpu_time_millis_training
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wall_clock_time_millis
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