10417275 4030 Gabriel Ferrettini 190405 Supervised Classification predictive_accuracy 7838 weka.kf.AdaBoostM1-NaiveBayes(1) 6833449 mDataExp Modelage 42169 epiparo_extract https://www.openml.org/data/download/21754583/epiparo_extract.arff -1 21756638 description https://api.openml.org/data/download/21756638/description5872551782690275201.xml -1 21756639 predictions https://api.openml.org/data/download/21756639/predictions4430709450441306607.arff area_under_roc_curve 0.7877346137058053 [0.787735,0.787735] average_cost 0 f_measure 0.7748103817783852 [0.694611,0.818505] kappa 0.5139550714771954 kb_relative_information_score 0.3565966550482624 mean_absolute_error 0.3015341116071428 mean_prior_absolute_error 0.45697692793931727 number_of_instances 224 [79,145] precision 0.7798146247135218 [0.659091,0.845588] predictive_accuracy 0.7723214285714286 prior_entropy 0.9364428886040052 recall 0.7723214285714286 [0.734177,0.793103] relative_absolute_error 0.6598453733033629 root_mean_prior_squared_error 0.47780550059011323 root_mean_squared_error 0.43174122516474417 root_relative_squared_error 0.9035919942979364 total_cost 0 area_under_roc_curve 0.8583333333333334 [0.858333,0.858333] area_under_roc_curve 0.8416666666666667 [0.841667,0.841667] area_under_roc_curve 0.9083333333333333 [0.908333,0.908333] area_under_roc_curve 0.775 [0.775,0.775] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.9285714285714287 [0.928571,0.928571] area_under_roc_curve 0.9285714285714287 [0.928571,0.928571] area_under_roc_curve 0.7142857142857143 [0.714286,0.714286] area_under_roc_curve 0.5758928571428572 [0.575893,0.575893] area_under_roc_curve 0.7276785714285713 [0.727679,0.727679] 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 0.8295376121463076 [0.777778,0.857143] f_measure 0.8673211781206172 [0.8,0.903226] f_measure 0.8260869565217391 [0.75,0.866667] f_measure 0.7391304347826086 [0.625,0.8] f_measure 0.7763845350052246 [0.666667,0.827586] f_measure 0.8651218062982768 [0.823529,0.888889] f_measure 0.9106449106449106 [0.888889,0.923077] f_measure 0.7168831168831169 [0.571429,0.8] f_measure 0.5454545454545454 [0.375,0.642857] f_measure 0.6363636363636364 [0.636364,0.636364] kappa 0.6377952755905513 kappa 0.7038626609442059 kappa 0.6166666666666667 kappa 0.4249999999999999 kappa 0.4954128440366973 kappa 0.7130434782608696 kappa 0.8135593220338982 kappa 0.37735849056603776 kappa 0.017857142857142797 kappa 0.32307692307692304 kb_relative_information_score 0.3795881679073034 kb_relative_information_score 0.46370866174841274 kb_relative_information_score 0.567385330309633 kb_relative_information_score 0.2362719859385678 kb_relative_information_score 0.27301781239256095 kb_relative_information_score 0.6377994172139224 kb_relative_information_score 0.4985106871196007 kb_relative_information_score 0.24758516897500976 kb_relative_information_score 0.028477328984300502 kb_relative_information_score 0.22345554847073162 mean_absolute_error 0.30315099999999995 mean_absolute_error 0.26818995652173916 mean_absolute_error 0.1957638695652174 mean_absolute_error 0.35728052173913044 mean_absolute_error 0.3361461363636364 mean_absolute_error 0.16571454545454548 mean_absolute_error 0.2637329545454546 mean_absolute_error 0.3551135454545454 mean_absolute_error 0.4295929545454545 mean_absolute_error 0.3443715909090909 mean_prior_absolute_error 0.45555983070411693 mean_prior_absolute_error 0.45555983070411693 mean_prior_absolute_error 0.45555983070411693 mean_prior_absolute_error 0.45555983070411693 mean_prior_absolute_error 0.4469026548672566 mean_prior_absolute_error 0.46017699115044247 mean_prior_absolute_error 0.46017699115044247 mean_prior_absolute_error 0.46017699115044247 mean_prior_absolute_error 0.46017699115044247 mean_prior_absolute_error 0.46017699115044247 number_of_instances 23 [8,15] number_of_instances 23 [8,15] number_of_instances 23 [8,15] number_of_instances 23 [8,15] number_of_instances 22 [7,15] number_of_instances 22 [8,14] number_of_instances 22 [8,14] number_of_instances 22 [8,14] number_of_instances 22 [8,14] number_of_instances 22 [8,14] precision 0.845484949832776 [0.7,0.923077] precision 0.8687888198757764 [0.857143,0.875] precision 0.8260869565217391 [0.75,0.866667] precision 0.7391304347826086 [0.625,0.8] precision 0.7832792207792206 [0.625,0.857143] precision 0.8702408702408703 [0.777778,0.923077] precision 0.9272727272727272 [0.8,1] precision 0.7196969696969696 [0.666667,0.75] precision 0.5454545454545454 [0.375,0.642857] precision 0.7386363636363636 [0.5,0.875] predictive_accuracy 0.826086956521739 predictive_accuracy 0.8695652173913043 predictive_accuracy 0.826086956521739 predictive_accuracy 0.7391304347826088 predictive_accuracy 0.7727272727272727 predictive_accuracy 0.8636363636363636 predictive_accuracy 0.9090909090909091 predictive_accuracy 0.7272727272727273 predictive_accuracy 0.5454545454545454 predictive_accuracy 0.6363636363636364 prior_entropy 0.9322314344891376 prior_entropy 0.9322314344891376 prior_entropy 0.9322314344891376 prior_entropy 0.9322314344891376 prior_entropy 0.9065032784419245 prior_entropy 0.9459531177143178 prior_entropy 0.9459531177143178 prior_entropy 0.9459531177143178 prior_entropy 0.9459531177143178 prior_entropy 0.9459531177143178 recall 0.8260869565217391 [0.875,0.8] recall 0.8695652173913043 [0.75,0.933333] recall 0.8260869565217391 [0.75,0.866667] recall 0.7391304347826086 [0.625,0.8] recall 0.7727272727272727 [0.714286,0.8] recall 0.8636363636363636 [0.875,0.857143] recall 0.9090909090909091 [1,0.857143] recall 0.7272727272727273 [0.5,0.857143] recall 0.5454545454545454 [0.375,0.642857] recall 0.6363636363636364 [0.875,0.5] relative_absolute_error 0.6654471697635134 relative_absolute_error 0.5887041359797299 relative_absolute_error 0.4297215346283785 relative_absolute_error 0.7842669560810811 relative_absolute_error 0.7521685823582358 relative_absolute_error 0.3601104545454546 relative_absolute_error 0.5731119973776225 relative_absolute_error 0.7716890506993005 relative_absolute_error 0.9335385358391606 relative_absolute_error 0.7483459571678321 root_mean_prior_squared_error 0.47632026952353035 root_mean_prior_squared_error 0.47632026952353035 root_mean_prior_squared_error 0.47632026952353035 root_mean_prior_squared_error 0.47632026952353035 root_mean_prior_squared_error 0.46714432814935075 root_mean_prior_squared_error 0.4811425564271925 root_mean_prior_squared_error 0.4811425564271925 root_mean_prior_squared_error 0.4811425564271925 root_mean_prior_squared_error 0.4811425564271925 root_mean_prior_squared_error 0.4811425564271925 root_mean_squared_error 0.38313834622467974 root_mean_squared_error 0.3468993078408752 root_mean_squared_error 0.388677704433165 root_mean_squared_error 0.44514967116231036 root_mean_squared_error 0.42644564156018977 root_mean_squared_error 0.31526896562156403 root_mean_squared_error 0.31919343299628594 root_mean_squared_error 0.4541636738676928 root_mean_squared_error 0.5874330913325364 root_mean_squared_error 0.5648358370580301 root_relative_squared_error 0.8043712828092288 root_relative_squared_error 0.7282900393633958 root_relative_squared_error 0.816000765245545 root_relative_squared_error 0.9345595802748424 root_relative_squared_error 0.9128777036630333 root_relative_squared_error 0.6552506349940201 root_relative_squared_error 0.663407193424153 root_relative_squared_error 0.9439274655731223 root_relative_squared_error 1.2209127700002733 root_relative_squared_error 1.173946950883573 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