10587914 31646 Hector Haffenden 3954 Supervised Classification 18994 sklearn.ensemble._forest.RandomForestClassifier(10) 8304024 Python_3.8.13. Sklearn_0.23.2. NumPy_1.20.0. SciPy_1.8.1. bootstrap true 18994 ccp_alpha 0.0 18994 class_weight null 18994 criterion "gini" 18994 max_depth null 18994 max_features "auto" 18994 max_leaf_nodes null 18994 max_samples null 18994 min_impurity_decrease 0.0 18994 min_impurity_split null 18994 min_samples_leaf 1 18994 min_samples_split 2 18994 min_weight_fraction_leaf 0.0 18994 n_estimators 100 18994 n_jobs null 18994 oob_score false 18994 random_state 3349 18994 verbose 0 18994 warm_start false 18994 openml-python Sklearn_0.23.2. 1120 MagicTelescope https://www.openml.org/data/download/54003/MagicTelescope.arff -1 22103364 description https://api.openml.org/data/download/22103364/description.xml -1 22103365 predictions https://api.openml.org/data/download/22103365/predictions.arff area_under_roc_curve 0.9358133542078259 [0.935813,0.935813] average_cost 0 f_measure 0.8798507604407318 [0.911788,0.820962] kappa 0.7333103000839196 kb_relative_information_score 0.5971489589699994 mean_absolute_error 0.1944652996845509 mean_prior_absolute_error 0.45597723417494307 weighted_recall 0.8818086225026288 [0.942102,0.770634] number_of_instances 19020 [12332,6688] precision 0.8815913079058451 [0.883364,0.878323] predictive_accuracy 0.8818086225026288 prior_entropy 0.9355152453166837 relative_absolute_error 0.4264802825878388 root_mean_prior_squared_error 0.47747911240123586 root_mean_squared_error 0.29925651826217214 root_relative_squared_error 0.6267426375097651 total_cost 0 unweighted_recall 0.8563679100701951 [0.942102,0.770634] area_under_roc_curve 0.9340134560700317 [0.934013,0.934013] area_under_roc_curve 0.9419279350537175 [0.941928,0.941928] area_under_roc_curve 0.9364790144470025 [0.936479,0.936479] area_under_roc_curve 0.9439783143426232 [0.943978,0.943978] area_under_roc_curve 0.9305490394325459 [0.930549,0.930549] area_under_roc_curve 0.9404996138818272 [0.9405,0.9405] area_under_roc_curve 0.9284341786714868 [0.928434,0.928434] area_under_roc_curve 0.9327342137070134 [0.932734,0.932734] area_under_roc_curve 0.9427157018561555 [0.942716,0.942716] area_under_roc_curve 0.9272206644142095 [0.927221,0.927221] 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 0.8748107794046082 [0.908379,0.8128] f_measure 0.8819722055211632 [0.912114,0.826291] f_measure 0.8780073111309118 [0.911708,0.815896] f_measure 0.8926555247516739 [0.919905,0.842434] f_measure 0.8742765586050937 [0.908949,0.810373] f_measure 0.8853563814186578 [0.916341,0.82825] f_measure 0.8730650329356736 [0.907313,0.809944] f_measure 0.876061064498073 [0.908877,0.81558] f_measure 0.8886726914282314 [0.917489,0.835563] f_measure 0.8733609427185024 [0.906949,0.811456] kappa 0.721823459262426 kappa 0.7386774072964656 kappa 0.7285477707486918 kappa 0.7625688277498656 kappa 0.7202761866333814 kappa 0.7452677508627132 kappa 0.7179895272235881 kappa 0.7250064500689877 kappa 0.7533955430821742 kappa 0.7189810918476126 kb_relative_information_score 0.5919163338018686 kb_relative_information_score 0.6044540801359034 kb_relative_information_score 0.5941218588411602 kb_relative_information_score 0.6072450692344468 kb_relative_information_score 0.5929060865426659 kb_relative_information_score 0.6007251380209067 kb_relative_information_score 0.5834934377346013 kb_relative_information_score 0.5950925160214583 kb_relative_information_score 0.6141715821157386 kb_relative_information_score 0.5873645152280844 mean_absolute_error 0.1962302839116715 mean_absolute_error 0.19048895899053606 mean_absolute_error 0.19538906414300705 mean_absolute_error 0.19131440588853801 mean_absolute_error 0.1959936908517352 mean_absolute_error 0.19425341745531013 mean_absolute_error 0.20009989484752866 mean_absolute_error 0.19495268138801244 mean_absolute_error 0.18749211356466847 mean_absolute_error 0.19843848580441636 mean_prior_absolute_error 0.455852435405734 mean_prior_absolute_error 0.455852435405734 mean_prior_absolute_error 0.45600843386719786 mean_prior_absolute_error 0.45600843386719786 mean_prior_absolute_error 0.45600843386719786 mean_prior_absolute_error 0.45600843386719786 mean_prior_absolute_error 0.45600843386719786 mean_prior_absolute_error 0.45600843386719786 mean_prior_absolute_error 0.45600843386719786 mean_prior_absolute_error 0.45600843386719786 number_of_instances 1902 [1234,668] number_of_instances 1902 [1234,668] number_of_instances 1902 [1233,669] number_of_instances 1902 [1233,669] number_of_instances 1902 [1233,669] number_of_instances 1902 [1233,669] number_of_instances 1902 [1233,669] number_of_instances 1902 [1233,669] number_of_instances 1902 [1233,669] number_of_instances 1902 [1233,669] precision 0.8767032252999277 [0.878788,0.872852] precision 0.8824858614142413 [0.891641,0.865574] precision 0.8815302433495652 [0.875934,0.891844] precision 0.8932363315937104 [0.899922,0.880914] precision 0.8775926641143906 [0.873598,0.884956] precision 0.8879585837972631 [0.884528,0.894281] precision 0.8752780356143469 [0.876133,0.873702] precision 0.877593254390057 [0.881188,0.870968] precision 0.8897004807238832 [0.893846,0.88206] precision 0.8748982502123185 [0.878995,0.867347] predictive_accuracy 0.8769716088328076 predictive_accuracy 0.8832807570977919 predictive_accuracy 0.880651945320715 predictive_accuracy 0.893796004206099 predictive_accuracy 0.8769716088328076 predictive_accuracy 0.8874868559411146 predictive_accuracy 0.8753943217665615 predictive_accuracy 0.8780231335436384 predictive_accuracy 0.8901156677181913 predictive_accuracy 0.8753943217665615 prior_entropy 0.9351439892378896 prior_entropy 0.9351439892378896 prior_entropy 0.9356080593363955 prior_entropy 0.9356080593363955 prior_entropy 0.9356080593363955 prior_entropy 0.9356080593363955 prior_entropy 0.9356080593363955 prior_entropy 0.9356080593363955 prior_entropy 0.9356080593363955 prior_entropy 0.9356080593363955 relative_absolute_error 0.43046887253550736 relative_absolute_error 0.41787417198065485 relative_absolute_error 0.42847686496936527 relative_absolute_error 0.419541376167297 relative_absolute_error 0.4298027762109636 relative_absolute_error 0.4259864577677571 relative_absolute_error 0.43880744299085317 relative_absolute_error 0.42751990294282144 relative_absolute_error 0.4111593111878087 relative_absolute_error 0.435164069492204 root_mean_prior_squared_error 0.4773484094561718 root_mean_prior_squared_error 0.4773484094561718 root_mean_prior_squared_error 0.4775117825476151 root_mean_prior_squared_error 0.4775117825476151 root_mean_prior_squared_error 0.4775117825476151 root_mean_prior_squared_error 0.4775117825476151 root_mean_prior_squared_error 0.4775117825476151 root_mean_prior_squared_error 0.4775117825476151 root_mean_prior_squared_error 0.4775117825476151 root_mean_prior_squared_error 0.4775117825476151 root_mean_squared_error 0.30091090240837604 root_mean_squared_error 0.2944474766557496 root_mean_squared_error 0.2996520063692815 root_mean_squared_error 0.2910552251015011 root_mean_squared_error 0.30351446504938917 root_mean_squared_error 0.29542969827795895 root_mean_squared_error 0.30673812201856226 root_mean_squared_error 0.30224032053395355 root_mean_squared_error 0.29097437744254373 root_mean_squared_error 0.30706704193702383 root_relative_squared_error 0.630380025254917 root_relative_squared_error 0.6168397565023931 root_relative_squared_error 0.6275279842741927 root_relative_squared_error 0.6095246981104148 root_relative_squared_error 0.635616703382862 root_relative_squared_error 0.6186856724284079 root_relative_squared_error 0.6423676508714753 root_relative_squared_error 0.6329484037471172 root_relative_squared_error 0.6093553878192088 root_relative_squared_error 0.6430564714000636 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 0.8502557284135133 [0.940032,0.760479] unweighted_recall 0.8619842972078533 [0.933549,0.790419] unweighted_recall 0.8511978149469557 [0.950527,0.751868] unweighted_recall 0.8739848486501625 [0.940795,0.807175] unweighted_recall 0.8473336024643674 [0.947283,0.747384] unweighted_recall 0.8609138089678825 [0.950527,0.7713] unweighted_recall 0.8478264032092058 [0.940795,0.754858] unweighted_recall 0.8525889314406876 [0.938362,0.766816] unweighted_recall 0.8680694212591695 [0.942417,0.793722] unweighted_recall 0.8495357489662094 [0.93674,0.762332] usercpu_time_millis 3592.3364860000006 usercpu_time_millis 3611.5992309999992 usercpu_time_millis 3575.197248999999 usercpu_time_millis 3569.5758779999946 usercpu_time_millis 3590.532314000008 usercpu_time_millis 3587.03409999999 usercpu_time_millis 3588.0357959999997 usercpu_time_millis 3596.166685 usercpu_time_millis 3590.5351560000013 usercpu_time_millis 3617.5308930000083 usercpu_time_millis_testing 25.196472000004633 usercpu_time_millis_testing 24.968614000002276 usercpu_time_millis_testing 25.104769000002136 usercpu_time_millis_testing 25.5203179999981 usercpu_time_millis_testing 25.68028800000377 usercpu_time_millis_testing 25.55305999999291 usercpu_time_millis_testing 25.980381000010766 usercpu_time_millis_testing 24.48257300000023 usercpu_time_millis_testing 25.82270499999595 usercpu_time_millis_testing 25.62387199999705 usercpu_time_millis_training 3567.140013999996 usercpu_time_millis_training 3586.630616999997 usercpu_time_millis_training 3550.0924799999966 usercpu_time_millis_training 3544.0555599999966 usercpu_time_millis_training 3564.852026000004 usercpu_time_millis_training 3561.481039999997 usercpu_time_millis_training 3562.055414999989 usercpu_time_millis_training 3571.684112 usercpu_time_millis_training 3564.7124510000053 usercpu_time_millis_training 3591.9070210000114 wall_clock_time_millis 3593.0161476135254 wall_clock_time_millis 3612.2968196868896 wall_clock_time_millis 3575.8678913116455 wall_clock_time_millis 3570.258855819702 wall_clock_time_millis 3591.2740230560303 wall_clock_time_millis 3587.7113342285156 wall_clock_time_millis 3588.752508163452 wall_clock_time_millis 3596.867322921753 wall_clock_time_millis 3591.336727142334 wall_clock_time_millis 3618.253469467163 wall_clock_time_millis_testing 25.214195251464844 wall_clock_time_millis_testing 24.98793601989746 wall_clock_time_millis_testing 25.12335777282715 wall_clock_time_millis_testing 25.534629821777344 wall_clock_time_millis_testing 25.69866180419922 wall_clock_time_millis_testing 25.572776794433594 wall_clock_time_millis_testing 25.99954605102539 wall_clock_time_millis_testing 24.49631690979004 wall_clock_time_millis_testing 25.84552764892578 wall_clock_time_millis_testing 25.641441345214844 wall_clock_time_millis_training 3567.8019523620605 wall_clock_time_millis_training 3587.308883666992 wall_clock_time_millis_training 3550.7445335388184 wall_clock_time_millis_training 3544.724225997925 wall_clock_time_millis_training 3565.575361251831 wall_clock_time_millis_training 3562.138557434082 wall_clock_time_millis_training 3562.7529621124268 wall_clock_time_millis_training 3572.371006011963 wall_clock_time_millis_training 3565.491199493408 wall_clock_time_millis_training 3592.6120281219482 weighted_recall 0.8769716088328076 [0.940032,0.760479] weighted_recall 0.8832807570977917 [0.933549,0.790419] weighted_recall 0.880651945320715 [0.950527,0.751868] weighted_recall 0.8937960042060988 [0.940795,0.807175] weighted_recall 0.8769716088328076 [0.947283,0.747384] weighted_recall 0.8874868559411146 [0.950527,0.7713] weighted_recall 0.8753943217665615 [0.940795,0.754858] weighted_recall 0.8780231335436383 [0.938362,0.766816] weighted_recall 0.8901156677181914 [0.942417,0.793722] weighted_recall 0.8753943217665615 [0.93674,0.762332]