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: 0.5, 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: 1334.863, usercpu_time_millis: 200, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 110,
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: 1335.2021,
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: 1331.7953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 978.5543, mean_absolute_error: 0.0211, 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: 0.3143, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.6041, scimark_benchmark: 1364.991, usercpu_time_millis: 1010, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7548, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: -40523.6585, mean_absolute_error: 0.1319, 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: 1.9618, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.153, root_relative_squared_error: 0.8443, scimark_benchmark: 1331.7953, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 557.0441, mean_absolute_error: 0.0207, 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: 0.3084, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1057, root_relative_squared_error: 0.5832, scimark_benchmark: 1354.5533, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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: 1260.1387, usercpu_time_millis: 230, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 120,
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: 1260.1387,
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: 1297.2338, 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: 1384.4422,
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: 1341.5795,
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: 918.0213,
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: 918.0213,
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: 1288.1375, 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: 1288.1375,
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: 1312.2688,
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: 1350.907, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1315.933,
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: 1315.933, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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: 1350.073,
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: 1380.2233,
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: 1343.2125,
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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: 1345.7204,
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: 1346.3935, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.9595, kappa: 0.2481, kb_relative_information_score: 2483.1457, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9619, predictive_accuracy: 0.9691, prior_entropy: 0.222, recall: 0.9691, relative_absolute_error: 0.3866, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1217, root_relative_squared_error: 0.6714, scimark_benchmark: 1368.9272, usercpu_time_millis: 780, usercpu_time_millis_testing: 780,
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: 1328.941, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8498, f_measure: 0.9855, kappa: 0.7669, kb_relative_information_score: 3117.101, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9856, predictive_accuracy: 0.9864, prior_entropy: 0.222, recall: 0.9864, relative_absolute_error: 0.2962, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1107, root_relative_squared_error: 0.611, scimark_benchmark: 1151.6869, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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: 1327.2954, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
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: 1123.855, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 551.2599, mean_absolute_error: 0.0207, 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: 0.3084, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1057, root_relative_squared_error: 0.5834, scimark_benchmark: 918.0213, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
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: 1449.4352, 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: 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: 912.7324,
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: 916.5769, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8421, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 4076.4945, mean_absolute_error: 0.0107, 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: 0.1598, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.5717, scimark_benchmark: 1350.4702, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.9849, kappa: 0.7574, kb_relative_information_score: 3230.3647, mean_absolute_error: 0.0154, 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: 0.2296, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1157, root_relative_squared_error: 0.6384, scimark_benchmark: 1316.5986, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 2151.2446, 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: 0.3234, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1041, root_relative_squared_error: 0.5746, scimark_benchmark: 1302.224, usercpu_time_millis: 130, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 90,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.9864, kappa: 0.7791, kb_relative_information_score: 3207.8256, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9867, predictive_accuracy: 0.9873, prior_entropy: 0.222, recall: 0.9873, relative_absolute_error: 0.2229, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.111, root_relative_squared_error: 0.6127, scimark_benchmark: 1324.8395, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.9869, kappa: 0.7866, kb_relative_information_score: 3093.3666, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9874, predictive_accuracy: 0.9878, prior_entropy: 0.222, recall: 0.9878, relative_absolute_error: 0.2279, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1083, root_relative_squared_error: 0.5977, scimark_benchmark: 876.0664, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9225, f_measure: 0.9879, kappa: 0.8019, kb_relative_information_score: 2962.4441, mean_absolute_error: 0.016, 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: 0.238, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1069, root_relative_squared_error: 0.5897, scimark_benchmark: 930.5999, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.9881, kappa: 0.8045, kb_relative_information_score: 3150.6368, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.222, recall: 0.9891, relative_absolute_error: 0.2493, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1039, root_relative_squared_error: 0.5735, scimark_benchmark: 934.1747, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 734.5422, 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: 0.3346, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1118, root_relative_squared_error: 0.6171, scimark_benchmark: 883.2709, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, f_measure: 0.9878, kappa: 0.7993, kb_relative_information_score: 1751.2727, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9886, predictive_accuracy: 0.9887, prior_entropy: 0.222, recall: 0.9887, relative_absolute_error: 0.3093, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1113, root_relative_squared_error: 0.6144, scimark_benchmark: 1384.4418, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
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: 854.5188, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
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: 1335.643, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8421, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 4076.718, mean_absolute_error: 0.0107, 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: 0.1597, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.5717, scimark_benchmark: 1301.9956, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7548, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: -40523.6585, mean_absolute_error: 0.1319, 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: 1.9618, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.153, root_relative_squared_error: 0.8443, scimark_benchmark: 915.6729, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5265, f_measure: 0.946, kappa: 0.0697, kb_relative_information_score: -304.0878, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9395, predictive_accuracy: 0.9535, prior_entropy: 0.222, recall: 0.9535, relative_absolute_error: 0.692, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.2157, root_relative_squared_error: 1.1901, scimark_benchmark: 1280.6952, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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: 1386.5717, usercpu_time_millis: 2250, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 2150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 991.8239, mean_absolute_error: 0.02, 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: 0.2976, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1054, root_relative_squared_error: 0.5814, scimark_benchmark: 1307.4861,
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: 1319.6463, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.9827, kappa: 0.7364, kb_relative_information_score: 3266.2689, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9827, predictive_accuracy: 0.9826, prior_entropy: 0.222, recall: 0.9826, relative_absolute_error: 0.2582, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1317, root_relative_squared_error: 0.7269, scimark_benchmark: 1346.9602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8779, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 365.4407, mean_absolute_error: 0.0208, 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: 0.3092, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1066, root_relative_squared_error: 0.5884, scimark_benchmark: 1361.1055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 3673.4614, mean_absolute_error: 0.0212, 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: 0.3154, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1033, root_relative_squared_error: 0.5698, scimark_benchmark: 1325.942, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.9831, kappa: 0.7475, kb_relative_information_score: 3288.1729, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9835, predictive_accuracy: 0.9828, prior_entropy: 0.222, recall: 0.9828, relative_absolute_error: 0.2555, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.131, root_relative_squared_error: 0.7232, scimark_benchmark: 1372.2145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5038, f_measure: 0.9441, kappa: 0.0106, kb_relative_information_score: -282.1838, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9352, predictive_accuracy: 0.9537, prior_entropy: 0.222, recall: 0.9537, relative_absolute_error: 0.6893, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.2153, root_relative_squared_error: 1.1879, scimark_benchmark: 1072.3689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5087, f_measure: 0.9516, kappa: 0.0574, kb_relative_information_score: 69.1602, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9568, predictive_accuracy: 0.9665, prior_entropy: 0.222, recall: 0.9665, relative_absolute_error: 0.9537, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.9928, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8421, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 4076.718, mean_absolute_error: 0.0107, 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: 0.1597, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.5717, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, f_measure: 0.9872, kappa: 0.7916, kb_relative_information_score: 3945.2938, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.0672, number_of_instances: 5590, precision: 0.9879, predictive_accuracy: 0.9882, prior_entropy: 0.222, recall: 0.9882, relative_absolute_error: 0.1757, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1087, root_relative_squared_error: 0.5996, scimark_benchmark: 1341.2341,

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

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From your own software

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

OpenML APIs