10311338
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)
8171222
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
10000000.0
15084
kernel
"laplace"
15084
kernel_params
"null"
15084
n_components
2000
15084
n_epoch
2
15084
random_state
32687
15084
subsample_size
"auto"
15084
openml-python
Sklearn_0.21.2.
151
electricity
https://www.openml.org/data/download/2419/electricity-normalized.arff
-1
21544283
description
https://api.openml.org/data/download/21544283/description.xml
-1
21544284
predictions
https://api.openml.org/data/download/21544284/predictions.arff
area_under_roc_curve
0.7019007285167889 [0.701901,0.701901]
average_cost
0
f_measure
0.674777883116019 [0.693909,0.660664]
kappa
0.3800421767072855
kb_relative_information_score
0.3346166772022306
mean_absolute_error
0.3218573446327684
mean_prior_absolute_error
0.4886137014923867
number_of_instances
45312 [19237,26075]
precision
0.7303701457437399 [0.581893,0.83991]
predictive_accuracy
0.6781426553672317
prior_entropy
0.9835093906388539
recall
0.6781426553672316 [0.859334,0.544468]
relative_absolute_error
0.6587153484433824
root_mean_prior_squared_error
0.4942738102212943
root_mean_squared_error
0.5673247259134475
root_relative_squared_error
1.1477944292849487
total_cost
0
area_under_roc_curve
0.49934393454332104 [0.499344,0.499344]
area_under_roc_curve
0.4879313451015905 [0.487931,0.487931]
area_under_roc_curve
0.8332469076139962 [0.833247,0.833247]
area_under_roc_curve
0.8348991640130882 [0.834899,0.834899]
area_under_roc_curve
0.8362101036151669 [0.83621,0.83621]
area_under_roc_curve
0.503516739276233 [0.503517,0.503517]
area_under_roc_curve
0.8383705472313068 [0.838371,0.838371]
area_under_roc_curve
0.8426769586120868 [0.842677,0.842677]
area_under_roc_curve
0.5057721710708919 [0.505772,0.505772]
area_under_roc_curve
0.8372099607910698 [0.83721,0.83721]
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
0.25362797472625875 [0.595349,0.00153]
f_measure
0.2852485633368707 [0.578753,0.068721]
f_measure
0.8403097428700494 [0.806763,0.865067]
f_measure
0.8413562481572919 [0.808965,0.865262]
f_measure
0.8442271983985907 [0.809873,0.869581]
f_measure
0.3218550462660486 [0.585977,0.12693]
f_measure
0.8439879235638348 [0.813344,0.866604]
f_measure
0.851678635422895 [0.817234,0.877076]
f_measure
0.2875538258482705 [0.595073,0.060806]
f_measure
0.8395731842802958 [0.813046,0.859133]
kappa
-0.001114482243102033
kappa
-0.020752551575529164
kappa
0.6720762413290164
kappa
0.6743898390073464
kappa
0.67987263969857
kappa
0.006081562302484822
kappa
0.6800283234616247
kappa
0.6949406985322885
kappa
0.009868853358797107
kappa
0.6722163659287737
kb_relative_information_score
-0.1905860459073458
kb_relative_information_score
-0.1992531473909621
kb_relative_information_score
0.6715037144353541
kb_relative_information_score
0.6733286937996016
kb_relative_information_score
0.6801723664155301
kb_relative_information_score
-0.1611431205028454
kb_relative_information_score
0.6783473870512872
kb_relative_information_score
0.6961110161914599
kb_relative_information_score
-0.16992695868637062
kb_relative_information_score
0.6678210507318084
mean_absolute_error
0.5759046778464254
mean_absolute_error
0.5800970873786407
mean_absolute_error
0.158905318914147
mean_absolute_error
0.15802251158684616
mean_absolute_error
0.1547119841094681
mean_absolute_error
0.5616861619951445
mean_absolute_error
0.15559479143676894
mean_absolute_error
0.14698741999558596
mean_absolute_error
0.5658794967998234
mean_absolute_error
0.16067093356874862
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
0.3719162026418053 [0.424216,0.333333]
precision
0.4372308922916447 [0.418346,0.451163]
precision
0.8407807879544806 [0.834073,0.845731]
precision
0.841577150861031 [0.83114,0.84928]
precision
0.8453789821120571 [0.846852,0.844292]
precision
0.5266892449595546 [0.426474,0.600649]
precision
0.8439948205373133 [0.828926,0.855116]
precision
0.8538883020691131 [0.865195,0.845552]
precision
0.572943708237957 [0.427308,0.680328]
precision
0.8400075062137475 [0.803146,0.867188]
predictive_accuracy
0.4240953221535746
predictive_accuracy
0.4199029126213592
predictive_accuracy
0.8410946810858531
predictive_accuracy
0.8419774884131539
predictive_accuracy
0.8452880158905319
predictive_accuracy
0.43831383800485546
predictive_accuracy
0.8444052085632311
predictive_accuracy
0.853012580004414
predictive_accuracy
0.43412050320017653
predictive_accuracy
0.8393290664312514
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
0.4240953221535746 [0.997921,0.000767]
recall
0.4199029126213592 [0.938669,0.037193]
recall
0.8410946810858531 [0.781185,0.885309]
recall
0.8419774884131538 [0.787942,0.881857]
recall
0.8452880158905319 [0.775988,0.896433]
recall
0.43831383800485546 [0.936071,0.070963]
recall
0.8444052085632311 [0.798337,0.878404]
recall
0.853012580004414 [0.774311,0.911043]
recall
0.4341205032001766 [0.979719,0.031825]
recall
0.8393290664312514 [0.823193,0.851227]
relative_absolute_error
1.1786534672378743
relative_absolute_error
1.1872337032062725
relative_absolute_error
0.32520813379173064
relative_absolute_error
0.32340142193733207
relative_absolute_error
0.3166262524833377
relative_absolute_error
1.1495204173610478
relative_absolute_error
0.31843296433773627
relative_absolute_error
0.30083802868933823
relative_absolute_error
1.1581812395787736
relative_absolute_error
0.32884397130005744
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
0.7588838368593874
root_mean_squared_error
0.7616410489060058
root_mean_squared_error
0.3986293001199824
root_mean_squared_error
0.39752045429995947
root_mean_squared_error
0.39333444307544196
root_mean_squared_error
0.749457244941394
root_mean_squared_error
0.394455056295098
root_mean_squared_error
0.3833893843021556
root_mean_squared_error
0.7522496239944713
root_mean_squared_error
0.4008377895966754
root_relative_squared_error
1.5353552443350398
root_relative_squared_error
1.5409335684077181
root_relative_squared_error
0.8064737275149524
root_relative_squared_error
0.8042304026478538
root_relative_squared_error
0.7957616120330147
root_relative_squared_error
1.5162397188542105
root_relative_squared_error
0.7980287437267625
root_relative_squared_error
0.7756944655389789
root_relative_squared_error
1.5219927674794735
root_relative_squared_error
0.8109970377374132
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
164879.71631297842
usercpu_time_millis
166098.41388801578
usercpu_time_millis
171252.6378199982
usercpu_time_millis
170611.0387800145
usercpu_time_millis
174498.77878904226
usercpu_time_millis
180926.05549198925
usercpu_time_millis
197173.04605001118
usercpu_time_millis
183481.35808299412
usercpu_time_millis
176869.16022800142
usercpu_time_millis
177501.76508899312
usercpu_time_millis_testing
7749.399138992885
usercpu_time_millis_testing
9795.858358003898
usercpu_time_millis_testing
9641.349801997421
usercpu_time_millis_testing
8121.348621993093
usercpu_time_millis_testing
8248.83857902023
usercpu_time_millis_testing
8971.54937000596
usercpu_time_millis_testing
7904.619929002365
usercpu_time_millis_testing
11762.095457001124
usercpu_time_millis_testing
8031.988369009923
usercpu_time_millis_testing
7859.935596003197
usercpu_time_millis_training
157130.31717398553
usercpu_time_millis_training
156302.5555300119
usercpu_time_millis_training
161611.28801800078
usercpu_time_millis_training
162489.6901580214
usercpu_time_millis_training
166249.94021002203
usercpu_time_millis_training
171954.5061219833
usercpu_time_millis_training
189268.42612100882
usercpu_time_millis_training
171719.262625993
usercpu_time_millis_training
168837.1718589915
usercpu_time_millis_training
169641.82949298993
wall_clock_time_millis
164920.01366615295
wall_clock_time_millis
166108.04772377014
wall_clock_time_millis
171476.06205940247
wall_clock_time_millis
170719.9478149414
wall_clock_time_millis
174674.13902282715
wall_clock_time_millis
181223.2928276062
wall_clock_time_millis
197192.8141117096
wall_clock_time_millis
183525.47025680542
wall_clock_time_millis
177033.02145004272
wall_clock_time_millis
177584.36560630798
wall_clock_time_millis_testing
7750.70333480835
wall_clock_time_millis_testing
9796.175479888916
wall_clock_time_millis_testing
9642.244100570679
wall_clock_time_millis_testing
8121.989011764526
wall_clock_time_millis_testing
8259.50288772583
wall_clock_time_millis_testing
8976.210832595825
wall_clock_time_millis_testing
7905.3544998168945
wall_clock_time_millis_testing
11764.951229095459
wall_clock_time_millis_testing
8037.669658660889
wall_clock_time_millis_testing
7860.2118492126465
wall_clock_time_millis_training
157169.3103313446
wall_clock_time_millis_training
156311.87224388123
wall_clock_time_millis_training
161833.8179588318
wall_clock_time_millis_training
162597.95880317688
wall_clock_time_millis_training
166414.63613510132
wall_clock_time_millis_training
172247.08199501038
wall_clock_time_millis_training
189287.4596118927
wall_clock_time_millis_training
171760.51902770996
wall_clock_time_millis_training
168995.35179138184
wall_clock_time_millis_training
169724.15375709534