10398603 8323 Heinrich Peters 219 Supervised Classification 16374 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,columntransformer=sklearn.compose._column_transformer.ColumnTransformer(num=sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler),cat=sklearn.pipeline.Pipeline(onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),svc=sklearn.svm.classes.SVC)(2) 8236372 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 C 2.8860777764167715 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.37589166686673003 13389 decision_function_shape "ovr" 13389 degree 1 13389 gamma 0.0029457661260439048 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 1 13389 shrinking true 13389 tol 0.001 13389 verbose false 13389 categorical_features null 16348 categories null 16348 drop null 16348 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 16348 handle_unknown "ignore" 16348 n_values null 16348 sparse true 16348 memory null 16374 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}] 16374 verbose false 16374 n_jobs null 16375 remainder "drop" 16375 sparse_threshold 0.3 16375 transformer_weights null 16375 transformers [{"oml-python:serialized_object": "component_reference", "value": {"key": "num", "step_name": "num", "argument_1": [true, false, true, true, true, true, true, true]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "cat", "step_name": "cat", "argument_1": [false, true, false, false, false, false, false, false]}}] 16375 verbose false 16375 memory null 16376 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}] 16376 verbose false 16376 memory null 16377 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}] 16377 verbose false 16377 openml-python Sklearn_0.21.2. 151 electricity https://www.openml.org/data/download/2419/electricity-normalized.arff -1 21718989 description https://api.openml.org/data/download/21718989/description.xml -1 21718990 predictions https://api.openml.org/data/download/21718990/predictions.arff area_under_roc_curve 0.7495709525492457 [0.749571,0.749571] average_cost 0 f_measure 0.7640536009554004 [0.693957,0.815768] kappa 0.5146468058175456 kb_relative_information_score 0.5245045947475827 mean_absolute_error 0.2300052966101695 mean_prior_absolute_error 0.4886137014923867 number_of_instances 45312 [19237,26075] precision 0.773975916881289 [0.797462,0.756649] predictive_accuracy 0.7699947033898304 prior_entropy 0.9835093906388539 recall 0.7699947033898306 [0.614233,0.884909] relative_absolute_error 0.47073034568547256 root_mean_prior_squared_error 0.4942738102212943 root_mean_squared_error 0.4795886743973105 root_relative_squared_error 0.9702894721097826 total_cost 0 area_under_roc_curve 0.75043684552887 [0.750437,0.750437] area_under_roc_curve 0.7478763567720623 [0.747876,0.747876] area_under_roc_curve 0.7335171100993886 [0.733517,0.733517] area_under_roc_curve 0.753063378063378 [0.753063,0.753063] area_under_roc_curve 0.7494059851654788 [0.749406,0.749406] area_under_roc_curve 0.7471476522109433 [0.747148,0.747148] area_under_roc_curve 0.7601414152047062 [0.760141,0.760141] area_under_roc_curve 0.7561016704471861 [0.756102,0.756102] area_under_roc_curve 0.7449870234073167 [0.744987,0.744987] area_under_roc_curve 0.7530316933536237 [0.753032,0.753032] 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 0.7648785238812935 [0.695219,0.816269] f_measure 0.7621494091116849 [0.692398,0.813607] f_measure 0.748312156201451 [0.671602,0.804925] f_measure 0.7668947847949111 [0.700319,0.816028] f_measure 0.7641524181845176 [0.692853,0.816772] f_measure 0.7618846529747533 [0.6899,0.815011] f_measure 0.7741474902971378 [0.708964,0.822254] f_measure 0.7709435305969966 [0.701537,0.82212] f_measure 0.759894144810567 [0.686611,0.813929] f_measure 0.7671167718182076 [0.69968,0.816841] kappa 0.5163226474190648 kappa 0.510649059739509 kappa 0.48250702906259024 kappa 0.5203327002364146 kappa 0.515011542590254 kappa 0.5103481920382373 kappa 0.5352982562659353 kappa 0.5288904618928467 kappa 0.5062225380077372 kappa 0.520751091848207 kb_relative_information_score 0.526046397816919 kb_relative_information_score 0.5201162757491802 kb_relative_information_score 0.494024471262168 kb_relative_information_score 0.528699079182891 kb_relative_information_score 0.5255053652954563 kb_relative_information_score 0.5209429168848341 kb_relative_information_score 0.5437551589379429 kb_relative_information_score 0.5391473368668748 kb_relative_information_score 0.5172454281239092 kb_relative_information_score 0.5295652517918286 mean_absolute_error 0.2292586054721977 mean_absolute_error 0.2321270962047661 mean_absolute_error 0.2447583314941514 mean_absolute_error 0.2279849922754359 mean_absolute_error 0.2295299050982123 mean_absolute_error 0.23173692341646435 mean_absolute_error 0.22070183182520414 mean_absolute_error 0.22290885014345618 mean_absolute_error 0.233502538071066 mean_absolute_error 0.22754358861178547 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 0.7746657985696226 [0.79798,0.757466] precision 0.771195817197763 [0.791444,0.756258] precision 0.7590997314359276 [0.780454,0.74334] precision 0.77474785548563 [0.792515,0.761636] precision 0.7752655444814637 [0.802326,0.755295] precision 0.7728759308889369 [0.798906,0.753666] precision 0.7828814883473275 [0.805556,0.766148] precision 0.7824133403796406 [0.812457,0.760261] precision 0.771255876276814 [0.79766,0.751787] precision 0.7755881335200396 [0.795364,0.761006] predictive_accuracy 0.7707413945278023 predictive_accuracy 0.7678729037952339 predictive_accuracy 0.7552416685058486 predictive_accuracy 0.7720150077245641 predictive_accuracy 0.7704700949017876 predictive_accuracy 0.7682630765835357 predictive_accuracy 0.7792981681747959 predictive_accuracy 0.7770911498565438 predictive_accuracy 0.766497461928934 predictive_accuracy 0.7724564113882145 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 0.7707413945278023 [0.615904,0.884969] recall 0.7678729037952339 [0.615385,0.880368] recall 0.7552416685058486 [0.589397,0.877637] recall 0.7720150077245641 [0.627339,0.878788] recall 0.7704700949017876 [0.609667,0.889145] recall 0.7682630765835357 [0.607069,0.887227] recall 0.7792981681747958 [0.633056,0.887227] recall 0.7770911498565438 [0.617265,0.894939] recall 0.766497461928934 [0.602704,0.88727] recall 0.7724564113882145 [0.624545,0.881518] relative_absolute_error 0.4692034300613607 relative_absolute_error 0.47507411782921216 relative_absolute_error 0.5009108616319851 relative_absolute_error 0.4665833363984136 relative_absolute_error 0.4697450821436109 relative_absolute_error 0.47426186177960716 relative_absolute_error 0.4516779635996258 relative_absolute_error 0.4562258393036511 relative_absolute_error 0.4779078593893692 relative_absolute_error 0.4657117230911528 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 0.4788095711994464 root_mean_squared_error 0.4817956996536666 root_mean_squared_error 0.4947305645441278 root_mean_squared_error 0.4774777400836985 root_mean_squared_error 0.4790927938283066 root_mean_squared_error 0.48139061417570694 root_mean_squared_error 0.4697891354908116 root_mean_squared_error 0.4721322379836566 root_mean_squared_error 0.48322100334222434 root_mean_squared_error 0.4770152918007823 root_relative_squared_error 0.9687158303716714 root_relative_squared_error 0.9747572925293305 root_relative_squared_error 1.0008978326063573 root_relative_squared_error 0.9659933495475965 root_relative_squared_error 0.9692607922899115 root_relative_squared_error 0.9739095517769083 root_relative_squared_error 0.950438402624358 root_relative_squared_error 0.9552438825948876 root_relative_squared_error 0.9776792818795019 root_relative_squared_error 0.9651235453502031 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 106426.3014968019 usercpu_time_millis 106985.61546788551 usercpu_time_millis 106026.87058900483 usercpu_time_millis 107810.60644588433 usercpu_time_millis 97390.74858883396 usercpu_time_millis 109211.76015376113 usercpu_time_millis 89263.58919288032 usercpu_time_millis 106059.86464396119 usercpu_time_millis 70122.4761463236 usercpu_time_millis 70705.65990591422 usercpu_time_millis_testing 7443.120868876576 usercpu_time_millis_testing 7456.638899864629 usercpu_time_millis_testing 7409.651882946491 usercpu_time_millis_testing 7481.109720887616 usercpu_time_millis_testing 7411.53721883893 usercpu_time_millis_testing 7474.543349817395 usercpu_time_millis_testing 4429.497015895322 usercpu_time_millis_testing 5408.648838987574 usercpu_time_millis_testing 4398.282914189622 usercpu_time_millis_testing 4419.683323940262 usercpu_time_millis_training 98983.18062792532 usercpu_time_millis_training 99528.97656802088 usercpu_time_millis_training 98617.21870605834 usercpu_time_millis_training 100329.49672499672 usercpu_time_millis_training 89979.21136999503 usercpu_time_millis_training 101737.21680394374 usercpu_time_millis_training 84834.092176985 usercpu_time_millis_training 100651.21580497362 usercpu_time_millis_training 65724.19323213398 usercpu_time_millis_training 66285.97658197396 wall_clock_time_millis 106427.13022232056 wall_clock_time_millis 106986.44137382507 wall_clock_time_millis 106104.85553741455 wall_clock_time_millis 107810.99915504456 wall_clock_time_millis 97407.05823898315 wall_clock_time_millis 109212.5518321991 wall_clock_time_millis 89263.56530189514 wall_clock_time_millis 106066.93029403687 wall_clock_time_millis 70122.42197990417 wall_clock_time_millis 70706.3684463501 wall_clock_time_millis_testing 7443.121671676636 wall_clock_time_millis_testing 7456.650733947754 wall_clock_time_millis_testing 7411.213636398315 wall_clock_time_millis_testing 7481.369972229004 wall_clock_time_millis_testing 7411.775588989258 wall_clock_time_millis_testing 7474.545240402222 wall_clock_time_millis_testing 4429.496765136719 wall_clock_time_millis_testing 5408.646821975708 wall_clock_time_millis_testing 4398.282527923584 wall_clock_time_millis_testing 4419.684410095215 wall_clock_time_millis_training 98984.00855064392 wall_clock_time_millis_training 99529.79063987732 wall_clock_time_millis_training 98693.64190101624 wall_clock_time_millis_training 100329.62918281555 wall_clock_time_millis_training 89995.2826499939 wall_clock_time_millis_training 101738.00659179688 wall_clock_time_millis_training 84834.06853675842 wall_clock_time_millis_training 100658.28347206116 wall_clock_time_millis_training 65724.13945198059 wall_clock_time_millis_training 66286.68403625488