10154750 287 Hugo Spee 218 Supervised Classification predictive_accuracy 8935 sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=scripts.machineLearningAlgorithms.WithoutOutliersClassifier(classifier=sklearn.naive_bayes.MultinomialNB,outlierCLF=sklearn.ensemble.iforest.IsolationForest))(1) 8080328 alpha 1.0 8869 class_prior null 8869 fit_prior true 8869 copy true 8877 fill_value null 8877 missing_values NaN 8877 strategy "mean" 8877 verbose 0 8877 behaviour "new" 8934 bootstrap false 8934 contamination "auto" 8934 max_features 1.0 8934 max_samples "auto" 8934 n_estimators 100 8934 n_jobs null 8934 random_state 43790 8934 verbose 0 8934 memory null 8935 auto-jupyter-notebook openml-python Sklearn_0.20.1. 150 covertype https://www.openml.org/data/download/2418/covtype-normalized.arff -1 21230078 description https://api.openml.org/data/download/21230078/description.xml -1 21230079 predictions https://api.openml.org/data/download/21230079/predictions.arff area_under_roc_curve 0.6922921910902576 [0.664585,0.694828,0.940455,0.557377,0.500021,0.514992,0.768021] average_cost 0 f_measure 0.6169250981772765 [0.546995,0.718992,0.696353,0.195969,0.000417,0.058283,0.60568] kappa 0.40551309067620933 kb_relative_information_score 256433.71057674932 mean_absolute_error 0.10226491510914398 mean_prior_absolute_error 0.17802774347935615 number_of_instances 581012 [211840,283301,35754,2747,9493,17367,20510] precision 0.631600654898105 [0.660754,0.647621,0.556736,0.661088,0.020408,0.439935,0.680952] predictive_accuracy 0.6420727971195087 prior_entropy 1.7387099106676458 recall 0.6420727971195087 [0.466654,0.808042,0.929434,0.115035,0.000211,0.031209,0.545392] relative_absolute_error 0.5744324626627786 root_mean_prior_squared_error 0.2983512509121354 root_mean_squared_error 0.319788860201765 root_relative_squared_error 1.0718535927839732 total_cost 0 area_under_roc_curve 0.691364782697223 [0.663529,0.69406,0.940286,0.554632,0.499948,0.514365,0.764591] area_under_roc_curve 0.6919390188112436 [0.664867,0.69411,0.939156,0.554572,0.5,0.51452,0.768048] area_under_roc_curve 0.6929224107424753 [0.664275,0.695808,0.941966,0.565333,0.500334,0.513483,0.77284] area_under_roc_curve 0.692667372072027 [0.664831,0.695759,0.941737,0.563446,0.499974,0.516,0.759242] area_under_roc_curve 0.6921347028829523 [0.66458,0.694064,0.940134,0.548979,0.499939,0.516146,0.774776] area_under_roc_curve 0.6914383651300148 [0.663114,0.693144,0.942564,0.556191,0.500369,0.513422,0.780008] area_under_roc_curve 0.6918509525637004 [0.66396,0.694953,0.941338,0.556199,0.499781,0.511389,0.762099] area_under_roc_curve 0.6915804079787633 [0.66309,0.694126,0.942168,0.55258,0.499939,0.517288,0.768815] area_under_roc_curve 0.6926870655603863 [0.666025,0.695594,0.935541,0.552667,0.499956,0.513935,0.763936] area_under_roc_curve 0.694336844999442 [0.667581,0.696663,0.939664,0.569196,0.499974,0.519374,0.765854] 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 0.6156971897643091 [0.545891,0.718012,0.696665,0.189274,0,0.056004,0.598429] f_measure 0.6174841070897155 [0.546336,0.719874,0.697334,0.221538,0.002058,0.052802,0.614637] f_measure 0.6176165561903516 [0.547386,0.720178,0.699423,0.210843,0,0.061957,0.594342] f_measure 0.6165323985510904 [0.547079,0.717916,0.693511,0.171429,0,0.062466,0.613205] f_measure 0.6162448994374258 [0.544482,0.717664,0.701146,0.190184,0.002066,0.052603,0.627251] f_measure 0.6159082362645931 [0.545998,0.71916,0.698206,0.190769,0,0.04521,0.593657] f_measure 0.6161545950521107 [0.544497,0.718563,0.698952,0.180685,0,0.066595,0.606323] f_measure 0.6179523607969691 [0.549721,0.71978,0.695026,0.186495,0,0.054487,0.602792] f_measure 0.619704049275186 [0.551684,0.720443,0.694651,0.231003,0,0.074154,0.601137] kappa 0.4035097173705301 kappa 0.4044017033280672 kappa 0.4067728030671195 kappa 0.4063874285292571 kappa 0.4051620220820343 kappa 0.40460142338305594 kappa 0.4042626895849104 kappa 0.40440467242711303 kappa 0.40620724906844413 kappa 0.40942277847241015 kb_relative_information_score 25527.731311069037 kb_relative_information_score 25563.447135574264 kb_relative_information_score 25736.76841610484 kb_relative_information_score 25670.68792562769 kb_relative_information_score 25644.841127752577 kb_relative_information_score 25688.66158248674 kb_relative_information_score 25535.072518776742 kb_relative_information_score 25622.98309428968 kb_relative_information_score 25616.791789773637 kb_relative_information_score 25826.72567471719 mean_absolute_error 0.1026126467247586 mean_absolute_error 0.10255855466006442 mean_absolute_error 0.10208823551110056 mean_absolute_error 0.10199971969996369 mean_absolute_error 0.10242754612045862 mean_absolute_error 0.10241771103033231 mean_absolute_error 0.10247672157109024 mean_absolute_error 0.10243738121058495 mean_absolute_error 0.10200955479009001 mean_absolute_error 0.10162106873010035 mean_prior_absolute_error 0.17802710522729806 mean_prior_absolute_error 0.17802920034394012 mean_prior_absolute_error 0.17802755102463602 mean_prior_absolute_error 0.17802755102463602 mean_prior_absolute_error 0.17802755102463602 mean_prior_absolute_error 0.17802770664588263 mean_prior_absolute_error 0.17802770664588263 mean_prior_absolute_error 0.17802770664588263 mean_prior_absolute_error 0.17802770664588263 mean_prior_absolute_error 0.17802764955005787 number_of_instances 58102 [21184,28331,3575,274,950,1737,2051] number_of_instances 58102 [21184,28330,3576,274,950,1737,2051] number_of_instances 58101 [21184,28330,3576,275,949,1736,2051] number_of_instances 58101 [21184,28330,3576,275,949,1736,2051] number_of_instances 58101 [21184,28330,3576,275,949,1736,2051] number_of_instances 58101 [21184,28330,3575,275,949,1737,2051] number_of_instances 58101 [21184,28330,3575,275,949,1737,2051] number_of_instances 58101 [21184,28330,3575,275,949,1737,2051] number_of_instances 58101 [21184,28330,3575,275,949,1737,2051] number_of_instances 58101 [21184,28330,3575,274,950,1737,2051] precision 0.6294826591414979 [0.657035,0.647316,0.557308,0.697674,0,0.433333,0.67296] precision 0.6320804514412822 [0.66097,0.648437,0.556854,0.72,0.043478,0.408333,0.688862] precision 0.6347727273404238 [0.661098,0.648002,0.559926,0.614035,0,0.548077,0.680503] precision 0.6319787054483412 [0.660391,0.647416,0.553078,0.675,0,0.479339,0.678698] precision 0.6299848961346092 [0.65935,0.646007,0.561637,0.607843,0.052632,0.388889,0.698802] precision 0.6276788681691439 [0.659888,0.647663,0.558577,0.62,0,0.347107,0.668498] precision 0.6319065643405207 [0.659109,0.646808,0.558927,0.630435,0,0.496,0.68] precision 0.6308142913322211 [0.661029,0.648148,0.558979,0.805556,0,0.377778,0.687266] precision 0.6370920363252698 [0.665223,0.649382,0.555035,0.690909,0,0.556452,0.676005] predictive_accuracy 0.6408557364634607 predictive_accuracy 0.6410450586898903 predictive_accuracy 0.6426911757112614 predictive_accuracy 0.6430009810502401 predictive_accuracy 0.6415035885785099 predictive_accuracy 0.6415380113939518 predictive_accuracy 0.6413314745012993 predictive_accuracy 0.6414691657630678 predictive_accuracy 0.642966558234798 predictive_accuracy 0.64432625944476 prior_entropy 1.7387099106676458 prior_entropy 1.7387099106676458 prior_entropy 1.7387099106676458 prior_entropy 1.7387099106676458 prior_entropy 1.7387099106676458 prior_entropy 1.7387099106676458 prior_entropy 1.7387099106676458 prior_entropy 1.7387099106676458 prior_entropy 1.7387099106676458 prior_entropy 1.7387099106676458 recall 0.6408557364634608 [0.466909,0.806043,0.928951,0.109489,0,0.029937,0.538762] recall 0.6410450586898901 [0.465115,0.807271,0.928691,0.109489,0,0.030512,0.545588] recall 0.6426911757112614 [0.465587,0.809001,0.932606,0.130909,0.001054,0.028226,0.554851] recall 0.6430009810502401 [0.467051,0.810448,0.931488,0.127273,0,0.032834,0.527548] recall 0.6415035885785099 [0.466956,0.805648,0.92953,0.098182,0,0.03341,0.559239] recall 0.641538011393952 [0.463699,0.807201,0.932867,0.112727,0.001054,0.02821,0.568991] recall 0.6413314745012995 [0.465634,0.808401,0.930909,0.112727,0,0.02418,0.533886] recall 0.6414691657630678 [0.463841,0.808224,0.932587,0.105455,0,0.035694,0.54705] recall 0.642966558234798 [0.470497,0.809213,0.918601,0.105455,0,0.029361,0.536811] recall 0.64432625944476 [0.471252,0.808966,0.928112,0.138686,0,0.039724,0.541199] relative_absolute_error 0.5763877730514507 relative_absolute_error 0.5760771517365036 relative_absolute_error 0.5734406552442732 relative_absolute_error 0.5729434523640031 relative_absolute_error 0.575346599618642 relative_absolute_error 0.5752908519686365 relative_absolute_error 0.5756223202657331 relative_absolute_error 0.5754013414010021 relative_absolute_error 0.5729981962470518 relative_absolute_error 0.5708162130260923 root_mean_prior_squared_error 0.29835018127719537 root_mean_prior_squared_error 0.2983536924269204 root_mean_prior_squared_error 0.29835092838044475 root_mean_prior_squared_error 0.29835092838044475 root_mean_prior_squared_error 0.29835092838044475 root_mean_prior_squared_error 0.29835118918268094 root_mean_prior_squared_error 0.29835118918268094 root_mean_prior_squared_error 0.29835118918268094 root_mean_prior_squared_error 0.29835118918268094 root_mean_prior_squared_error 0.2983510934970662 root_mean_squared_error 0.32033208819092507 root_mean_squared_error 0.3202476458306359 root_mean_squared_error 0.31951249664308995 root_mean_squared_error 0.3193739496263959 root_mean_squared_error 0.3200430379190565 root_mean_squared_error 0.3200276722884012 root_mean_squared_error 0.32011985500916723 root_mean_squared_error 0.32005840281202574 root_mean_squared_error 0.3193893467072595 root_mean_squared_error 0.3187805965395327 root_relative_squared_error 1.0736782086728696 root_relative_squared_error 1.0733825454802384 root_relative_squared_error 1.0709284478433425 root_relative_squared_error 1.0704640718233112 root_relative_squared_error 1.0727066936119967 root_relative_squared_error 1.072654254085938 root_relative_squared_error 1.072963227953341 root_relative_squared_error 1.0727572552628688 root_relative_squared_error 1.0705147433204862 root_relative_squared_error 1.0684747047614471 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