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 132427.47580001014 usercpu_time_millis 133907.23859198624 usercpu_time_millis 147602.81037999084 usercpu_time_millis 133190.40334800957 usercpu_time_millis 141318.36631000624 usercpu_time_millis 129350.26895598276 usercpu_time_millis 135995.94985999283 usercpu_time_millis 143425.18116999418 usercpu_time_millis 131916.44178400747 usercpu_time_millis 130483.86923299404 usercpu_time_millis_testing 6027.926665003179 usercpu_time_millis_testing 6125.635968986899 usercpu_time_millis_testing 5929.912652994972 usercpu_time_millis_testing 6043.708578014048 usercpu_time_millis_testing 6155.5678870063275 usercpu_time_millis_testing 5342.678947985405 usercpu_time_millis_testing 6034.669541986659 usercpu_time_millis_testing 6051.004373002797 usercpu_time_millis_testing 6046.698918013135 usercpu_time_millis_testing 6016.401243017754 usercpu_time_millis_training 126399.54913500696 usercpu_time_millis_training 127781.60262299934 usercpu_time_millis_training 141672.89772699587 usercpu_time_millis_training 127146.69476999552 usercpu_time_millis_training 135162.7984229999 usercpu_time_millis_training 124007.59000799735 usercpu_time_millis_training 129961.28031800617 usercpu_time_millis_training 137374.17679699138 usercpu_time_millis_training 125869.74286599434 usercpu_time_millis_training 124467.46798997629 wall_clock_time_millis 132475.7115840912 wall_clock_time_millis 133929.34942245483 wall_clock_time_millis 147656.85057640076 wall_clock_time_millis 133197.52287864685 wall_clock_time_millis 141335.29019355774 wall_clock_time_millis 129369.0881729126 wall_clock_time_millis 136025.27475357056 wall_clock_time_millis 143441.66612625122 wall_clock_time_millis 131930.99975585938 wall_clock_time_millis 130504.86302375793 wall_clock_time_millis_testing 6031.907320022583 wall_clock_time_millis_testing 6125.822305679321 wall_clock_time_millis_testing 5933.485269546509 wall_clock_time_millis_testing 6045.252561569214 wall_clock_time_millis_testing 6155.771017074585 wall_clock_time_millis_testing 5344.41351890564 wall_clock_time_millis_testing 6034.89351272583 wall_clock_time_millis_testing 6051.2213706970215 wall_clock_time_millis_testing 6046.906471252441 wall_clock_time_millis_testing 6016.600608825684 wall_clock_time_millis_training 126443.8042640686 wall_clock_time_millis_training 127803.52711677551 wall_clock_time_millis_training 141723.36530685425 wall_clock_time_millis_training 127152.27031707764 wall_clock_time_millis_training 135179.51917648315 wall_clock_time_millis_training 124024.67465400696 wall_clock_time_millis_training 129990.38124084473 wall_clock_time_millis_training 137390.4447555542 wall_clock_time_millis_training 125884.09328460693 wall_clock_time_millis_training 124488.26241493225