10311398
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)
8171233
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
100000.0
15084
kernel
"rbf"
15084
kernel_params
"null"
15084
n_components
500
15084
n_epoch
2
15084
random_state
1136
15084
subsample_size
"auto"
15084
openml-python
Sklearn_0.21.2.
151
electricity
https://www.openml.org/data/download/2419/electricity-normalized.arff
-1
21544403
description
https://api.openml.org/data/download/21544403/description.xml
-1
21544404
predictions
https://api.openml.org/data/download/21544404/predictions.arff
area_under_roc_curve
0.7715423422753501 [0.771542,0.771542]
average_cost
0
f_measure
0.7812424518509783 [0.731259,0.818118]
kappa
0.5501950587562953
kb_relative_information_score
0.5515141207415041
mean_absolute_error
0.21694032485875706
mean_prior_absolute_error
0.4886137014923867
number_of_instances
45312 [19237,26075]
precision
0.7822581997517102 [0.771236,0.79039]
predictive_accuracy
0.7830596751412429
prior_entropy
0.9835093906388539
recall
0.783059675141243 [0.695223,0.847862]
relative_absolute_error
0.443991488974112
root_mean_prior_squared_error
0.4942738102212943
root_mean_squared_error
0.4657685314174381
root_relative_squared_error
0.9423289718888931
total_cost
0
area_under_roc_curve
0.7767005886254352 [0.776701,0.776701]
area_under_roc_curve
0.7684228441513717 [0.768423,0.768423]
area_under_roc_curve
0.7574897305909964 [0.75749,0.75749]
area_under_roc_curve
0.7713369849445798 [0.771337,0.771337]
area_under_roc_curve
0.767129138964582 [0.767129,0.767129]
area_under_roc_curve
0.7690595127303989 [0.76906,0.76906]
area_under_roc_curve
0.7784150220859082 [0.778415,0.778415]
area_under_roc_curve
0.7739065007385572 [0.773907,0.773907]
area_under_roc_curve
0.77049506059997 [0.770495,0.770495]
area_under_roc_curve
0.7824711914856961 [0.782471,0.782471]
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
0.7854838847578998 [0.738636,0.820045]
f_measure
0.7775877892092934 [0.728358,0.813906]
f_measure
0.7675526039829713 [0.713973,0.807095]
f_measure
0.7807257403562226 [0.731481,0.817069]
f_measure
0.7775200470600706 [0.724917,0.816342]
f_measure
0.7794883630681902 [0.727172,0.818098]
f_measure
0.7879405977365304 [0.739689,0.823551]
f_measure
0.7843633923110912 [0.732947,0.822275]
f_measure
0.7801598626789643 [0.730055,0.817105]
f_measure
0.7915051087840232 [0.745109,0.825715]
kappa
0.5591943949504291
kappa
0.542876869742844
kappa
0.5220165670658179
kappa
0.5492555739135278
kappa
0.5423823323560164
kappa
0.5464150906727688
kappa
0.5640108582226501
kappa
0.5563619688174947
kappa
0.5479504204703282
kappa
0.5714203313253315
kb_relative_information_score
0.559346314043463
kb_relative_information_score
0.5433806007841655
kb_relative_information_score
0.5236803859312179
kb_relative_information_score
0.550142586712821
kb_relative_information_score
0.5446676486200732
kb_relative_information_score
0.5487738521896331
kb_relative_information_score
0.56519866646787
kb_relative_information_score
0.5587677967824556
kb_relative_information_score
0.5491857117074103
kb_relative_information_score
0.5720001999813316
mean_absolute_error
0.21315092674315975
mean_absolute_error
0.220873786407767
mean_absolute_error
0.23041271242551314
mean_absolute_error
0.2176120061796513
mean_absolute_error
0.22026042816155375
mean_absolute_error
0.2182741116751269
mean_absolute_error
0.21032884572941957
mean_absolute_error
0.21341867137497242
mean_absolute_error
0.2180534098433017
mean_absolute_error
0.2070183182520415
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
0.7859385576707323 [0.770316,0.797464]
precision
0.7781227308739941 [0.762067,0.789968]
precision
0.7685522800758747 [0.754925,0.77861]
precision
0.7814974731775192 [0.768307,0.791232]
precision
0.7791149837594601 [0.771714,0.784577]
precision
0.7811831584949754 [0.774838,0.785866]
precision
0.7889907352422622 [0.779505,0.795991]
precision
0.7861783719269019 [0.781508,0.789622]
precision
0.7810941861770779 [0.769142,0.789907]
precision
0.7922232317161826 [0.780307,0.801009]
predictive_accuracy
0.7868490732568403
predictive_accuracy
0.779126213592233
predictive_accuracy
0.7695872875744868
predictive_accuracy
0.7823879938203487
predictive_accuracy
0.7797395718384463
predictive_accuracy
0.7817258883248731
predictive_accuracy
0.7896711542705804
predictive_accuracy
0.7865813286250275
predictive_accuracy
0.7819465901566983
predictive_accuracy
0.7929816817479585
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
0.7868490732568403 [0.709459,0.843942]
recall
0.779126213592233 [0.697505,0.83934]
recall
0.7695872875744869 [0.677235,0.837745]
recall
0.7823879938203487 [0.698025,0.844649]
recall
0.7797395718384462 [0.683472,0.850786]
recall
0.7817258883248731 [0.685031,0.853088]
recall
0.7896711542705804 [0.703742,0.853088]
recall
0.7865813286250276 [0.690068,0.857745]
recall
0.7819465901566983 [0.694748,0.846242]
recall
0.7929816817479585 [0.712949,0.851994]
relative_absolute_error
0.4362372602880408
relative_absolute_error
0.4520429581245641
relative_absolute_error
0.47155179399800945
relative_absolute_error
0.44535447210923107
relative_absolute_error
0.4507746076724266
relative_absolute_error
0.44670950600002995
relative_absolute_error
0.43044909931044345
relative_absolute_error
0.436802362976862
relative_absolute_error
0.4462882467643637
relative_absolute_error
0.4237028091750739
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
0.4616827121987131
root_mean_squared_error
0.46997211237239067
root_mean_squared_error
0.4800132419272547
root_mean_squared_error
0.4664890204277602
root_mean_squared_error
0.46931911122556447
root_mean_squared_error
0.4671981503335891
root_mean_squared_error
0.4586162292477443
root_mean_squared_error
0.4619725872548851
root_mean_squared_error
0.4669618933524466
root_mean_squared_error
0.4549926573605793
root_relative_squared_error
0.9340651875347032
root_relative_squared_error
0.9508360995121129
root_relative_squared_error
0.9711229665182466
root_relative_squared_error
0.9437618836245599
root_relative_squared_error
0.9494874885267184
root_relative_squared_error
0.9451965364167003
root_relative_squared_error
0.9278343056793781
root_relative_squared_error
0.9346883190743647
root_relative_squared_error
0.9447829572809046
root_relative_squared_error
0.9205661414383871
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
143425.18116999418
usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis_testing
6027.926665003179
usercpu_time_millis_testing
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usercpu_time_millis_training
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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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