10557557 8323 Heinrich Peters 167140 Supervised Classification 18608 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2) 8275668 add_indicator false 17407 copy true 17407 fill_value null 17407 missing_values NaN 17407 strategy "most_frequent" 17407 verbose 0 17407 categorical_features null 17408 categories null 17408 drop null 17408 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 17408 handle_unknown "ignore" 17408 n_values null 17408 sparse true 17408 C 0.1 17462 class_weight null 17462 dual false 17462 fit_intercept true 17462 intercept_scaling 1 17462 l1_ratio null 17462 max_iter 10000 17462 multi_class "warn" 17462 n_jobs null 17462 penalty "l2" 17462 random_state 1 17462 solver "lbfgs" 17462 tol 0.0001 17462 verbose 0 17462 warm_start false 17462 memory null 18608 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "logisticregression", "step_name": "logisticregression"}}] 18608 verbose false 18608 openml-python Sklearn_0.21.2. 40670 dna https://www.openml.org/data/download/4965245/dna.arff -1 22040072 description https://api.openml.org/data/download/22040072/description.xml -1 22040073 predictions https://api.openml.org/data/download/22040073/predictions.arff area_under_roc_curve 0.9916676670366882 [0.993013,0.992019,0.990881] average_cost 0 f_measure 0.9549793417328721 [0.94201,0.935401,0.970049] kappa 0.9268675954444637 kb_relative_information_score 0.852511699872125 mean_absolute_error 0.07974456582997169 mean_prior_absolute_error 0.40995034786546497 weighted_recall 0.9548022598870056 [0.953064,0.946405,0.959492] number_of_instances 3186 [767,765,1654] precision 0.9554001249150402 [0.93121,0.924649,0.980841] predictive_accuracy 0.9548022598870056 prior_entropy 1.4797952488472281 relative_absolute_error 0.19452249826152554 root_mean_prior_squared_error 0.45272392144875906 root_mean_squared_error 0.16909247840079497 root_relative_squared_error 0.37350020705705844 total_cost 0 unweighted_recall 0.9529870847638223 [0.953064,0.946405,0.959492] area_under_roc_curve 0.9925695757022113 [0.991038,0.993286,0.992952] area_under_roc_curve 0.9960245049576497 [0.997048,0.995506,0.995787] area_under_roc_curve 0.9937018755099993 [0.998014,0.991228,0.992834] area_under_roc_curve 0.9915247753234853 [0.989643,0.992636,0.991889] area_under_roc_curve 0.9909934750345124 [0.995385,0.993024,0.987997] area_under_roc_curve 0.9893779631596673 [0.995653,0.982773,0.989532] area_under_roc_curve 0.9929248770122379 [0.987114,0.997844,0.993306] area_under_roc_curve 0.9926353804627702 [0.995759,0.990408,0.992236] area_under_roc_curve 0.9853606911930138 [0.985972,0.988953,0.983403] area_under_roc_curve 0.9937173315932027 [0.996874,0.994508,0.99188] 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 0.936907526420989 [0.910256,0.90411,0.964286] f_measure 0.9781804667157653 [0.980132,0.961538,0.984894] f_measure 0.9530542682310228 [0.954839,0.941935,0.957317] f_measure 0.9441978797854184 [0.911392,0.929936,0.965944] f_measure 0.9532006243007215 [0.941935,0.936709,0.966154] f_measure 0.9625916679669215 [0.95,0.941176,0.978462] f_measure 0.9655790756347495 [0.941935,0.967742,0.97546] f_measure 0.9405837741585762 [0.928105,0.904459,0.96319] f_measure 0.9531412728013317 [0.935065,0.936709,0.969136] f_measure 0.9623512154112388 [0.967742,0.928105,0.97561] kappa 0.8973253081850074 kappa 0.9643250842745994 kappa 0.9238772490812771 kappa 0.9092976969007676 kappa 0.9241896131056117 kappa 0.9393516904844894 kappa 0.9440758445378822 kappa 0.9034006427166771 kappa 0.9239525540462981 kappa 0.9388177197736127 kb_relative_information_score 0.8329114918027034 kb_relative_information_score 0.8634854982245931 kb_relative_information_score 0.8617570744687348 kb_relative_information_score 0.8511569133111984 kb_relative_information_score 0.8493596696329355 kb_relative_information_score 0.8553387164122725 kb_relative_information_score 0.8636014970116903 kb_relative_information_score 0.8509999183852256 kb_relative_information_score 0.846082144399796 kb_relative_information_score 0.8504269501568115 mean_absolute_error 0.08808453628802693 mean_absolute_error 0.07572971790891188 mean_absolute_error 0.07553223967872173 mean_absolute_error 0.07834631050488075 mean_absolute_error 0.08125447535706158 mean_absolute_error 0.0794719883273551 mean_absolute_error 0.0745348648154431 mean_absolute_error 0.07976924635748907 mean_absolute_error 0.08322400469450394 mean_absolute_error 0.08149842570982363 mean_prior_absolute_error 0.4097215054492773 mean_prior_absolute_error 0.4097215054492773 mean_prior_absolute_error 0.4097215054492773 mean_prior_absolute_error 0.4097215054492773 mean_prior_absolute_error 0.41030409849951244 mean_prior_absolute_error 0.41030409849951244 mean_prior_absolute_error 0.4100028070812083 mean_prior_absolute_error 0.4100028070812083 mean_prior_absolute_error 0.4100028070812083 mean_prior_absolute_error 0.4100014922890736 number_of_instances 319 [77,76,166] number_of_instances 319 [77,76,166] number_of_instances 319 [77,76,166] number_of_instances 319 [77,76,166] number_of_instances 319 [77,77,165] number_of_instances 319 [77,77,165] number_of_instances 318 [76,77,165] number_of_instances 318 [76,77,165] number_of_instances 318 [76,77,165] number_of_instances 318 [77,76,165] precision 0.9374542626859879 [0.898734,0.942857,0.952941] precision 0.9788021278616891 [1,0.9375,0.987879] precision 0.9534660606972551 [0.948718,0.924051,0.969136] precision 0.9463352563140248 [0.888889,0.901235,0.993631] precision 0.9539687510233488 [0.935897,0.91358,0.98125] precision 0.963705775916734 [0.915663,0.947368,0.99375] precision 0.9660900006249483 [0.924051,0.961538,0.987578] precision 0.94124541885514 [0.922078,0.8875,0.975155] precision 0.9541636901511906 [0.923077,0.91358,0.987421] precision 0.9625143830202287 [0.961538,0.922078,0.981595] predictive_accuracy 0.9373040752351097 predictive_accuracy 0.9780564263322884 predictive_accuracy 0.9529780564263324 predictive_accuracy 0.9435736677115988 predictive_accuracy 0.9529780564263324 predictive_accuracy 0.9623824451410659 predictive_accuracy 0.9654088050314464 predictive_accuracy 0.940251572327044 predictive_accuracy 0.9528301886792453 predictive_accuracy 0.9622641509433962 prior_entropy 1.4784259055653401 prior_entropy 1.4784259055653401 prior_entropy 1.4784259055653401 prior_entropy 1.4784259055653401 prior_entropy 1.4819099648749627 prior_entropy 1.4819099648749627 prior_entropy 1.4801111726842202 prior_entropy 1.4801111726842202 prior_entropy 1.4801111726842202 prior_entropy 1.4800993427508988 relative_absolute_error 0.21498636297218138 relative_absolute_error 0.18483217722699463 relative_absolute_error 0.18435019561860042 relative_absolute_error 0.19121844829445953 relative_absolute_error 0.1980347641035278 relative_absolute_error 0.19369045695128373 relative_absolute_error 0.18179110856838634 relative_absolute_error 0.19455780540958437 relative_absolute_error 0.20298398756577285 relative_absolute_error 0.19877592458215435 root_mean_prior_squared_error 0.4524711113825355 root_mean_prior_squared_error 0.4524711113825355 root_mean_prior_squared_error 0.4524711113825355 root_mean_prior_squared_error 0.4524711113825355 root_mean_prior_squared_error 0.45311444435813547 root_mean_prior_squared_error 0.45311444435813547 root_mean_prior_squared_error 0.4527818550556965 root_mean_prior_squared_error 0.4527818550556965 root_mean_prior_squared_error 0.4527818550556965 root_mean_prior_squared_error 0.4527804031487484 root_mean_squared_error 0.1785042336306731 root_mean_squared_error 0.15445112362134025 root_mean_squared_error 0.161827104766638 root_mean_squared_error 0.1781747539018791 root_mean_squared_error 0.17210991305471224 root_mean_squared_error 0.1668955341117467 root_mean_squared_error 0.1590748982028261 root_mean_squared_error 0.17149313515791453 root_mean_squared_error 0.18022754140720318 root_mean_squared_error 0.16612707428583898 root_relative_squared_error 0.39450968059651254 root_relative_squared_error 0.341350242558937 root_relative_squared_error 0.3576517941049799 root_relative_squared_error 0.39378150211062574 root_relative_squared_error 0.37983762203501714 root_relative_squared_error 0.3683297590483228 root_relative_squared_error 0.3513278997968202 root_relative_squared_error 0.37875443382513474 root_relative_squared_error 0.3980449733018419 root_relative_squared_error 0.36690429429045446 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 unweighted_recall 0.9221341963891109 [0.922078,0.868421,0.975904] unweighted_recall 0.9766029257151642 [0.961039,0.986842,0.981928] unweighted_recall 0.9557828031195182 [0.961039,0.960526,0.945783] unweighted_recall 0.9451167623329958 [0.935065,0.960526,0.939759] unweighted_recall 0.9535353535353536 [0.948052,0.961039,0.951515] unweighted_recall 0.9619047619047619 [0.987013,0.935065,0.963636] unweighted_recall 0.9660628844839371 [0.960526,0.974026,0.963636] unweighted_recall 0.9359345333029544 [0.934211,0.922078,0.951515] unweighted_recall 0.9533075112022481 [0.947368,0.961039,0.951515] unweighted_recall 0.9593111566795778 [0.974026,0.934211,0.969697] usercpu_time_millis 972.1600000048056 usercpu_time_millis 950.989999997546 usercpu_time_millis 1060.6799999950454 usercpu_time_millis 906.3679999962915 usercpu_time_millis 905.7240000111051 usercpu_time_millis 942.7439999999478 usercpu_time_millis 1189.3760000093607 usercpu_time_millis 1083.065999991959 usercpu_time_millis 1133.7700000149198 usercpu_time_millis 1228.1499999953667 usercpu_time_millis_testing 30.36600000632461 usercpu_time_millis_testing 30.404000004637055 usercpu_time_millis_testing 30.76199999486562 usercpu_time_millis_testing 30.186000003595836 usercpu_time_millis_testing 29.89200000592973 usercpu_time_millis_testing 31.210000001010485 usercpu_time_millis_testing 32.27399999741465 usercpu_time_millis_testing 33.309999998891726 usercpu_time_millis_testing 34.12400001252536 usercpu_time_millis_testing 35.5520000011893 usercpu_time_millis_training 941.793999998481 usercpu_time_millis_training 920.5859999929089 usercpu_time_millis_training 1029.9180000001797 usercpu_time_millis_training 876.1819999926956 usercpu_time_millis_training 875.8320000051754 usercpu_time_millis_training 911.5339999989374 usercpu_time_millis_training 1157.102000011946 usercpu_time_millis_training 1049.7559999930672 usercpu_time_millis_training 1099.6460000023944 usercpu_time_millis_training 1192.5979999941774 wall_clock_time_millis 493.4883117675781 wall_clock_time_millis 482.56778717041016 wall_clock_time_millis 538.0086898803711 wall_clock_time_millis 462.0804786682129 wall_clock_time_millis 458.6019515991211 wall_clock_time_millis 478.4090518951416 wall_clock_time_millis 608.1159114837646 wall_clock_time_millis 549.7691631317139 wall_clock_time_millis 576.6732692718506 wall_clock_time_millis 622.8480339050293 wall_clock_time_millis_testing 15.362262725830078 wall_clock_time_millis_testing 15.522003173828125 wall_clock_time_millis_testing 15.425920486450195 wall_clock_time_millis_testing 15.295267105102539 wall_clock_time_millis_testing 15.066862106323242 wall_clock_time_millis_testing 15.641927719116211 wall_clock_time_millis_testing 16.710758209228516 wall_clock_time_millis_testing 16.935110092163086 wall_clock_time_millis_testing 17.38429069519043 wall_clock_time_millis_testing 17.992019653320312 wall_clock_time_millis_training 478.12604904174805 wall_clock_time_millis_training 467.04578399658203 wall_clock_time_millis_training 522.5827693939209 wall_clock_time_millis_training 446.78521156311035 wall_clock_time_millis_training 443.53508949279785 wall_clock_time_millis_training 462.7671241760254 wall_clock_time_millis_training 591.4051532745361 wall_clock_time_millis_training 532.8340530395508 wall_clock_time_millis_training 559.2889785766602 wall_clock_time_millis_training 604.856014251709 weighted_recall 0.9373040752351097 [0.922078,0.868421,0.975904] weighted_recall 0.9780564263322884 [0.961039,0.986842,0.981928] weighted_recall 0.9529780564263323 [0.961039,0.960526,0.945783] weighted_recall 0.9435736677115988 [0.935065,0.960526,0.939759] weighted_recall 0.9529780564263323 [0.948052,0.961039,0.951515] weighted_recall 0.9623824451410659 [0.987013,0.935065,0.963636] weighted_recall 0.9654088050314465 [0.960526,0.974026,0.963636] weighted_recall 0.940251572327044 [0.934211,0.922078,0.951515] weighted_recall 0.9528301886792453 [0.947368,0.961039,0.951515] weighted_recall 0.9622641509433962 [0.974026,0.934211,0.969697]