OpenML
Supervised Classification on arsenic-female-lung

Supervised Classification on arsenic-female-lung

Task 4518 Supervised Classification arsenic-female-lung 215 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4763, f_measure: 0.9493, kb_relative_information_score: 52.2901, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9332, predictive_accuracy: 0.966, prior_entropy: 0.222, recall: 0.966, relative_absolute_error: 0.977, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1812, root_relative_squared_error: 1.0001, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.9871, kappa: 0.7891, kb_relative_information_score: -460.5758, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9876, predictive_accuracy: 0.988, prior_entropy: 0.222, recall: 0.988, relative_absolute_error: 0.5194, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1168, root_relative_squared_error: 0.6447, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.9813, kappa: 0.7018, kb_relative_information_score: 1136.2262, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9809, predictive_accuracy: 0.9821, prior_entropy: 0.222, recall: 0.9821, relative_absolute_error: 0.4012, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1224, root_relative_squared_error: 0.6757, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9493, kb_relative_information_score: 1229.1942, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9332, predictive_accuracy: 0.966, prior_entropy: 0.222, recall: 0.966, relative_absolute_error: 0.5057, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1844, root_relative_squared_error: 1.0174, scimark_benchmark: 916.0735, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 1866.2368, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.2688, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1042, root_relative_squared_error: 0.5753, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 1866.2368, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.2688, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1042, root_relative_squared_error: 0.5753, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 524.8105, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.3231, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1077, root_relative_squared_error: 0.5943, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.9861, kappa: 0.7681, kb_relative_information_score: 793.7092, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9876, predictive_accuracy: 0.9875, prior_entropy: 0.222, recall: 0.9875, relative_absolute_error: 0.3564, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1116, root_relative_squared_error: 0.6157, scimark_benchmark: 934.3687, usercpu_time_millis: 3440, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 3230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 3950.2013, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.2114, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1033, root_relative_squared_error: 0.5701, scimark_benchmark: 944.1067, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9493, kb_relative_information_score: 1229.1942, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9332, predictive_accuracy: 0.966, prior_entropy: 0.222, recall: 0.966, relative_absolute_error: 0.5057, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1844, root_relative_squared_error: 1.0174, scimark_benchmark: 941.3847, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9493, kb_relative_information_score: 1229.1942, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9332, predictive_accuracy: 0.966, prior_entropy: 0.222, recall: 0.966, relative_absolute_error: 0.5057, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1844, root_relative_squared_error: 1.0174, scimark_benchmark: 944.1783, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 3975.2245, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.2011, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1033, root_relative_squared_error: 0.5703, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 1866.2368, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.2688, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1042, root_relative_squared_error: 0.5753, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8873, f_measure: 0.9858, kappa: 0.7772, kb_relative_information_score: 2167.9896, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9856, predictive_accuracy: 0.9862, prior_entropy: 0.222, recall: 0.9862, relative_absolute_error: 0.2752, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1084, root_relative_squared_error: 0.5981, scimark_benchmark: 937.5117, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4763, f_measure: 0.9493, kb_relative_information_score: 52.2901, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9332, predictive_accuracy: 0.966, prior_entropy: 0.222, recall: 0.966, relative_absolute_error: 0.977, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1812, root_relative_squared_error: 1.0001, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.9871, kappa: 0.7891, kb_relative_information_score: -460.5758, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9876, predictive_accuracy: 0.988, prior_entropy: 0.222, recall: 0.988, relative_absolute_error: 0.5194, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1168, root_relative_squared_error: 0.6447, scimark_benchmark: 908.9569, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.9813, kappa: 0.7018, kb_relative_information_score: 1136.2262, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9809, predictive_accuracy: 0.9821, prior_entropy: 0.222, recall: 0.9821, relative_absolute_error: 0.4012, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1224, root_relative_squared_error: 0.6757, scimark_benchmark: 940.1541, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9493, kb_relative_information_score: 1229.1942, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9332, predictive_accuracy: 0.966, prior_entropy: 0.222, recall: 0.966, relative_absolute_error: 0.5057, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1844, root_relative_squared_error: 1.0174, scimark_benchmark: 927.2882, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 1866.2368, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.2688, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1042, root_relative_squared_error: 0.5753, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 1866.2368, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.2688, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1042, root_relative_squared_error: 0.5753, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 524.8105, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.3231, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1077, root_relative_squared_error: 0.5943, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.9861, kappa: 0.7681, kb_relative_information_score: 793.7092, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9876, predictive_accuracy: 0.9875, prior_entropy: 0.222, recall: 0.9875, relative_absolute_error: 0.3564, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1116, root_relative_squared_error: 0.6157, scimark_benchmark: 931.7096, usercpu_time_millis: 2010, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 1880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 1866.2368, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.2688, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1042, root_relative_squared_error: 0.5753, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 3950.2013, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.2114, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1033, root_relative_squared_error: 0.5701, scimark_benchmark: 730.6551, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8873, f_measure: 0.9858, kappa: 0.7772, kb_relative_information_score: 2167.9896, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9856, predictive_accuracy: 0.9862, prior_entropy: 0.222, recall: 0.9862, relative_absolute_error: 0.2752, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1084, root_relative_squared_error: 0.5981, scimark_benchmark: 941.4991, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.817, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 3317.3221, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.3352, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1045, root_relative_squared_error: 0.5766, scimark_benchmark: 819.5729, usercpu_time_millis: 6910, usercpu_time_millis_testing: 2290, usercpu_time_millis_training: 4620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8135, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 3256.5674, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.3378, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1047, root_relative_squared_error: 0.578, scimark_benchmark: 904.5548, usercpu_time_millis: 3470, usercpu_time_millis_testing: 820, usercpu_time_millis_training: 2650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 3292.5783, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.335, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1044, root_relative_squared_error: 0.5763, scimark_benchmark: 901.6243, usercpu_time_millis: 1560, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 1260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8158, f_measure: 0.9881, kappa: 0.8034, kb_relative_information_score: 3224.4498, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9892, predictive_accuracy: 0.9891, prior_entropy: 0.222, recall: 0.9891, relative_absolute_error: 0.3362, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1051, root_relative_squared_error: 0.58, scimark_benchmark: 939.682, usercpu_time_millis: 1040, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 3218.928, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.3365, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.105, root_relative_squared_error: 0.5797, scimark_benchmark: 933.9243, usercpu_time_millis: 370, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.9846, kappa: 0.7504, kb_relative_information_score: 1960.2064, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9848, predictive_accuracy: 0.9857, prior_entropy: 0.222, recall: 0.9857, relative_absolute_error: 0.3208, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.117, root_relative_squared_error: 0.6456, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.9846, kappa: 0.7504, kb_relative_information_score: 1960.2064, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9848, predictive_accuracy: 0.9857, prior_entropy: 0.222, recall: 0.9857, relative_absolute_error: 0.3208, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.117, root_relative_squared_error: 0.6456, scimark_benchmark: 930.0565, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.9846, kappa: 0.7504, kb_relative_information_score: 1960.2064, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9848, predictive_accuracy: 0.9857, prior_entropy: 0.222, recall: 0.9857, relative_absolute_error: 0.3208, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.117, root_relative_squared_error: 0.6456, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.9846, kappa: 0.7504, kb_relative_information_score: 1970.191, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9848, predictive_accuracy: 0.9857, prior_entropy: 0.222, recall: 0.9857, relative_absolute_error: 0.3199, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1168, root_relative_squared_error: 0.6445, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.9851, kappa: 0.7576, kb_relative_information_score: 1977.6364, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9855, predictive_accuracy: 0.9862, prior_entropy: 0.222, recall: 0.9862, relative_absolute_error: 0.3168, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1157, root_relative_squared_error: 0.6385, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4763, f_measure: 0.9493, kb_relative_information_score: -178.4947, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9332, predictive_accuracy: 0.966, prior_entropy: 0.222, recall: 0.966, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1812, root_relative_squared_error: 1.0001, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, f_measure: 0.9879, kappa: 0.8019, kb_relative_information_score: 4018.8838, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 0.222, recall: 0.9889, relative_absolute_error: 0.1655, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.5786, scimark_benchmark: 938.3115, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8873, f_measure: 0.9858, kappa: 0.7772, kb_relative_information_score: 2167.9896, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9856, predictive_accuracy: 0.9862, prior_entropy: 0.222, recall: 0.9862, relative_absolute_error: 0.2752, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1084, root_relative_squared_error: 0.5981, scimark_benchmark: 1317.2327, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9493, kb_relative_information_score: 1229.1942, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9332, predictive_accuracy: 0.966, prior_entropy: 0.222, recall: 0.966, relative_absolute_error: 0.5057, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1844, root_relative_squared_error: 1.0174, scimark_benchmark: 1338.6772, usercpu_time_millis: 210, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 110,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4763, f_measure: 0.9493, kb_relative_information_score: 52.2901, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9332, predictive_accuracy: 0.966, prior_entropy: 0.222, recall: 0.966, relative_absolute_error: 0.977, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1812, root_relative_squared_error: 1.0001, scimark_benchmark: 1306.9281,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 3975.2245, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.2011, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1033, root_relative_squared_error: 0.5703, scimark_benchmark: 1313.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 1866.2368, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.2688, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1042, root_relative_squared_error: 0.5753, scimark_benchmark: 1333.0982,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 524.8105, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.3231, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1077, root_relative_squared_error: 0.5943, scimark_benchmark: 1326.2019, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 3950.2013, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.2114, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1033, root_relative_squared_error: 0.5701, scimark_benchmark: 1313.11, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8873, f_measure: 0.9858, kappa: 0.7772, kb_relative_information_score: 2167.9896, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9856, predictive_accuracy: 0.9862, prior_entropy: 0.222, recall: 0.9862, relative_absolute_error: 0.2752, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1084, root_relative_squared_error: 0.5981, scimark_benchmark: 1335.5309, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4763, f_measure: 0.9493, kb_relative_information_score: 52.2901, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9332, predictive_accuracy: 0.966, prior_entropy: 0.222, recall: 0.966, relative_absolute_error: 0.977, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1812, root_relative_squared_error: 1.0001, scimark_benchmark: 1309.4708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.9813, kappa: 0.7018, kb_relative_information_score: 1136.2262, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9809, predictive_accuracy: 0.9821, prior_entropy: 0.222, recall: 0.9821, relative_absolute_error: 0.4012, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1224, root_relative_squared_error: 0.6757, scimark_benchmark: 1347.1763, usercpu_time_millis: 170, usercpu_time_millis_training: 170,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs