OpenML
Supervised Classification on car

Supervised Classification on car

Task 4559 Supervised Classification car 204 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9509, kappa: 0.884, kb_relative_information_score: 14713.2221, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.952, predictive_accuracy: 0.9505, prior_entropy: 0.8813, recall: 0.9505, relative_absolute_error: 0.148, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.4359, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.957, kappa: 0.8986, kb_relative_information_score: 12221.2964, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.958, predictive_accuracy: 0.9567, prior_entropy: 0.8813, recall: 0.9567, relative_absolute_error: 0.3214, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.4601, scimark_benchmark: 972.587, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9622, kappa: 0.9112, kb_relative_information_score: 12944.3775, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.9643, predictive_accuracy: 0.9617, prior_entropy: 0.8813, recall: 0.9617, relative_absolute_error: 0.2837, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.4279, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9679, kappa: 0.9248, kb_relative_information_score: 15841.1983, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.9703, predictive_accuracy: 0.9675, prior_entropy: 0.8813, recall: 0.9675, relative_absolute_error: 0.0773, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.3933, scimark_benchmark: 941.3142, usercpu_time_millis: 340, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9804, kappa: 0.9536, kb_relative_information_score: 12154.8843, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.9806, predictive_accuracy: 0.9804, prior_entropy: 0.8813, recall: 0.9804, relative_absolute_error: 0.3277, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.4776, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9602, kappa: 0.906, kb_relative_information_score: 14468.2859, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.9612, predictive_accuracy: 0.9599, prior_entropy: 0.8813, recall: 0.9599, relative_absolute_error: 0.1707, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.3766, scimark_benchmark: 938.191, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9917, kappa: 0.9802, kb_relative_information_score: 15724.8595, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 0.8813, recall: 0.9917, relative_absolute_error: 0.1076, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1083, root_relative_squared_error: 0.2364, scimark_benchmark: 926.576, usercpu_time_millis: 34750, usercpu_time_millis_testing: 750, usercpu_time_millis_training: 34000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9627, kappa: 0.9115, kb_relative_information_score: 13353.4315, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.9631, predictive_accuracy: 0.9625, prior_entropy: 0.8813, recall: 0.9625, relative_absolute_error: 0.2555, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.421, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9767, kappa: 0.9448, kb_relative_information_score: 13791.9529, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.9772, predictive_accuracy: 0.9765, prior_entropy: 0.8813, recall: 0.9765, relative_absolute_error: 0.2354, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.359, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9679, kappa: 0.9248, kb_relative_information_score: 15841.1983, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.9703, predictive_accuracy: 0.9675, prior_entropy: 0.8813, recall: 0.9675, relative_absolute_error: 0.0773, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.3933, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9679, kappa: 0.9248, kb_relative_information_score: 15841.1983, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.9703, predictive_accuracy: 0.9675, prior_entropy: 0.8813, recall: 0.9675, relative_absolute_error: 0.0773, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.3933, scimark_benchmark: 941.3847, usercpu_time_millis: 330, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9804, kappa: 0.9536, kb_relative_information_score: 12154.8843, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.9806, predictive_accuracy: 0.9804, prior_entropy: 0.8813, recall: 0.9804, relative_absolute_error: 0.3277, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.4776, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9804, kappa: 0.9536, kb_relative_information_score: 12154.8843, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.9806, predictive_accuracy: 0.9804, prior_entropy: 0.8813, recall: 0.9804, relative_absolute_error: 0.3277, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.4776, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9767, kappa: 0.9448, kb_relative_information_score: 13791.9529, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.9772, predictive_accuracy: 0.9765, prior_entropy: 0.8813, recall: 0.9765, relative_absolute_error: 0.2354, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.359, scimark_benchmark: 974.2014, usercpu_time_millis: 160, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9509, kappa: 0.884, kb_relative_information_score: 14713.2221, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.952, predictive_accuracy: 0.9505, prior_entropy: 0.8813, recall: 0.9505, relative_absolute_error: 0.148, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.4359, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.957, kappa: 0.8986, kb_relative_information_score: 12221.2964, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.958, predictive_accuracy: 0.9567, prior_entropy: 0.8813, recall: 0.9567, relative_absolute_error: 0.3214, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.4601, scimark_benchmark: 908.9569, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9622, kappa: 0.9112, kb_relative_information_score: 12944.3775, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.9643, predictive_accuracy: 0.9617, prior_entropy: 0.8813, recall: 0.9617, relative_absolute_error: 0.2837, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.4279, scimark_benchmark: 934.695, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9679, kappa: 0.9248, kb_relative_information_score: 15841.1983, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.9703, predictive_accuracy: 0.9675, prior_entropy: 0.8813, recall: 0.9675, relative_absolute_error: 0.0773, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.3933, scimark_benchmark: 940.1221, usercpu_time_millis: 340, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9679, kappa: 0.9248, kb_relative_information_score: 15841.1983, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.9703, predictive_accuracy: 0.9675, prior_entropy: 0.8813, recall: 0.9675, relative_absolute_error: 0.0773, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.3933, scimark_benchmark: 859.5223, usercpu_time_millis: 330, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9401, kappa: 0.8569, kb_relative_information_score: 11154.1256, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.94, predictive_accuracy: 0.9403, prior_entropy: 0.8813, recall: 0.9403, relative_absolute_error: 0.3769, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2487, root_relative_squared_error: 0.5428, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9804, kappa: 0.9536, kb_relative_information_score: 12154.8843, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.9806, predictive_accuracy: 0.9804, prior_entropy: 0.8813, recall: 0.9804, relative_absolute_error: 0.3277, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.4776, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9602, kappa: 0.906, kb_relative_information_score: 14468.2859, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.9612, predictive_accuracy: 0.9599, prior_entropy: 0.8813, recall: 0.9599, relative_absolute_error: 0.1707, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.3766, scimark_benchmark: 903.2737, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9917, kappa: 0.9802, kb_relative_information_score: 15724.8595, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 0.8813, recall: 0.9917, relative_absolute_error: 0.1076, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1083, root_relative_squared_error: 0.2364, scimark_benchmark: 917.5013, usercpu_time_millis: 35300, usercpu_time_millis_testing: 670, usercpu_time_millis_training: 34630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9804, kappa: 0.9536, kb_relative_information_score: 12154.8843, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.9806, predictive_accuracy: 0.9804, prior_entropy: 0.8813, recall: 0.9804, relative_absolute_error: 0.3277, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.4776, scimark_benchmark: 944.0133, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9627, kappa: 0.9115, kb_relative_information_score: 13353.4315, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.9631, predictive_accuracy: 0.9625, prior_entropy: 0.8813, recall: 0.9625, relative_absolute_error: 0.2555, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.421, scimark_benchmark: 941.3057, usercpu_time_millis: 430, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9767, kappa: 0.9448, kb_relative_information_score: 13791.9529, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.9772, predictive_accuracy: 0.9765, prior_entropy: 0.8813, recall: 0.9765, relative_absolute_error: 0.2354, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.359, scimark_benchmark: 901.4991, usercpu_time_millis: 120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9961, kappa: 0.9908, kb_relative_information_score: 16165.6534, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.9962, predictive_accuracy: 0.9961, prior_entropy: 0.8813, recall: 0.9961, relative_absolute_error: 0.0785, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.0833, root_relative_squared_error: 0.1817, scimark_benchmark: 908.9569, usercpu_time_millis: 15030, usercpu_time_millis_testing: 5430, usercpu_time_millis_training: 9600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9958, kappa: 0.9901, kb_relative_information_score: 16174.704, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.9959, predictive_accuracy: 0.9958, prior_entropy: 0.8813, recall: 0.9958, relative_absolute_error: 0.0774, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.0835, root_relative_squared_error: 0.1822, scimark_benchmark: 859.5223, usercpu_time_millis: 4210, usercpu_time_millis_testing: 760, usercpu_time_millis_training: 3450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9958, kappa: 0.9901, kb_relative_information_score: 16165.1408, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.9959, predictive_accuracy: 0.9958, prior_entropy: 0.8813, recall: 0.9958, relative_absolute_error: 0.0776, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.0848, root_relative_squared_error: 0.1852, scimark_benchmark: 931.7096, usercpu_time_millis: 1940, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 1590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9953, kappa: 0.9887, kb_relative_information_score: 16143.9428, mean_absolute_error: 0.0331, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.9953, predictive_accuracy: 0.9953, prior_entropy: 0.8813, recall: 0.9953, relative_absolute_error: 0.0788, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1907, scimark_benchmark: 890.4736, usercpu_time_millis: 1020, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9941, kappa: 0.9859, kb_relative_information_score: 16081.7599, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.9941, predictive_accuracy: 0.994, prior_entropy: 0.8813, recall: 0.994, relative_absolute_error: 0.0814, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.0947, root_relative_squared_error: 0.2067, scimark_benchmark: 928.821, usercpu_time_millis: 470, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9465, kappa: 0.8739, kb_relative_information_score: 13805.3516, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.9479, predictive_accuracy: 0.9461, prior_entropy: 0.8813, recall: 0.9461, relative_absolute_error: 0.2086, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.4293, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9465, kappa: 0.8739, kb_relative_information_score: 13805.3516, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.9479, predictive_accuracy: 0.9461, prior_entropy: 0.8813, recall: 0.9461, relative_absolute_error: 0.2086, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.4293, scimark_benchmark: 889.4922, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9465, kappa: 0.8739, kb_relative_information_score: 13805.3516, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.9479, predictive_accuracy: 0.9461, prior_entropy: 0.8813, recall: 0.9461, relative_absolute_error: 0.2086, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.4293, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9478, kappa: 0.8771, kb_relative_information_score: 13768.3895, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.9494, predictive_accuracy: 0.9473, prior_entropy: 0.8813, recall: 0.9473, relative_absolute_error: 0.2112, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.197, root_relative_squared_error: 0.4299, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9327, kappa: 0.8417, kb_relative_information_score: 12975.7285, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.9349, predictive_accuracy: 0.9319, prior_entropy: 0.8813, recall: 0.9319, relative_absolute_error: 0.2578, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.4717, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9804, kappa: 0.9536, kb_relative_information_score: 12154.8843, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.9806, predictive_accuracy: 0.9804, prior_entropy: 0.8813, recall: 0.9804, relative_absolute_error: 0.3277, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.4776, scimark_benchmark: 1342.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9917, kappa: 0.9802, kb_relative_information_score: 15724.8595, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 0.8813, recall: 0.9917, relative_absolute_error: 0.1076, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1083, root_relative_squared_error: 0.2364, scimark_benchmark: 1308.685, usercpu_time_millis: 20920, usercpu_time_millis_testing: 580, usercpu_time_millis_training: 20340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9804, kappa: 0.9536, kb_relative_information_score: 12154.8843, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.9806, predictive_accuracy: 0.9804, prior_entropy: 0.8813, recall: 0.9804, relative_absolute_error: 0.3277, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.4776, scimark_benchmark: 1343.3311, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9401, kappa: 0.8569, kb_relative_information_score: 11154.1256, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.94, predictive_accuracy: 0.9403, prior_entropy: 0.8813, recall: 0.9403, relative_absolute_error: 0.3769, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2487, root_relative_squared_error: 0.5428, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9804, kappa: 0.9536, kb_relative_information_score: 12154.8843, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.9806, predictive_accuracy: 0.9804, prior_entropy: 0.8813, recall: 0.9804, relative_absolute_error: 0.3277, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.4776, scimark_benchmark: 1313.11, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9804, kappa: 0.9536, kb_relative_information_score: 12154.8843, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.9806, predictive_accuracy: 0.9804, prior_entropy: 0.8813, recall: 0.9804, relative_absolute_error: 0.3277, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.4776, scimark_benchmark: 1337.3324, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9804, kappa: 0.9536, kb_relative_information_score: 12154.8843, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.9806, predictive_accuracy: 0.9804, prior_entropy: 0.8813, recall: 0.9804, relative_absolute_error: 0.3277, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.4776, scimark_benchmark: 1337.1928, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9627, kappa: 0.9115, kb_relative_information_score: 13353.4315, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.9631, predictive_accuracy: 0.9625, prior_entropy: 0.8813, recall: 0.9625, relative_absolute_error: 0.2555, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.421, scimark_benchmark: 1333.6736, usercpu_time_millis: 350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9767, kappa: 0.9448, kb_relative_information_score: 13791.9529, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.9772, predictive_accuracy: 0.9765, prior_entropy: 0.8813, recall: 0.9765, relative_absolute_error: 0.2354, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.359, scimark_benchmark: 1350.8432, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9622, kappa: 0.9112, kb_relative_information_score: 12944.3775, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.9643, predictive_accuracy: 0.9617, prior_entropy: 0.8813, recall: 0.9617, relative_absolute_error: 0.2837, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.4279, scimark_benchmark: 1322.5413, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9401, kappa: 0.8569, kb_relative_information_score: 11154.1256, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.94, predictive_accuracy: 0.9403, prior_entropy: 0.8813, recall: 0.9403, relative_absolute_error: 0.3769, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2487, root_relative_squared_error: 0.5428, scimark_benchmark: 1325.6322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9804, kappa: 0.9536, kb_relative_information_score: 12154.8843, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.9806, predictive_accuracy: 0.9804, prior_entropy: 0.8813, recall: 0.9804, relative_absolute_error: 0.3277, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.4776, scimark_benchmark: 1311.7317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9602, kappa: 0.906, kb_relative_information_score: 14468.2859, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.9612, predictive_accuracy: 0.9599, prior_entropy: 0.8813, recall: 0.9599, relative_absolute_error: 0.1707, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.3766, scimark_benchmark: 1330.7859, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9804, kappa: 0.9536, kb_relative_information_score: 12154.8843, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.9806, predictive_accuracy: 0.9804, prior_entropy: 0.8813, recall: 0.9804, relative_absolute_error: 0.3277, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.4776, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9509, kappa: 0.884, kb_relative_information_score: 14713.2221, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.952, predictive_accuracy: 0.9505, prior_entropy: 0.8813, recall: 0.9505, relative_absolute_error: 0.148, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.4359, scimark_benchmark: 1362.1309, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9627, kappa: 0.9115, kb_relative_information_score: 13353.4315, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.9631, predictive_accuracy: 0.9625, prior_entropy: 0.8813, recall: 0.9625, relative_absolute_error: 0.2555, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.421, scimark_benchmark: 1359.6412, usercpu_time_millis: 340, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9679, kappa: 0.9248, kb_relative_information_score: 15841.1983, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.9703, predictive_accuracy: 0.9675, prior_entropy: 0.8813, recall: 0.9675, relative_absolute_error: 0.0773, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.3933, scimark_benchmark: 1307.3987, usercpu_time_millis: 350, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9679, kappa: 0.9248, kb_relative_information_score: 15841.1983, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.9703, predictive_accuracy: 0.9675, prior_entropy: 0.8813, recall: 0.9675, relative_absolute_error: 0.0773, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.3933, scimark_benchmark: 1303.9481, usercpu_time_millis: 340, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9804, kappa: 0.9536, kb_relative_information_score: 12154.8843, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.9806, predictive_accuracy: 0.9804, prior_entropy: 0.8813, recall: 0.9804, relative_absolute_error: 0.3277, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.4776, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9401, kappa: 0.8569, kb_relative_information_score: 11154.1256, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.94, predictive_accuracy: 0.9403, prior_entropy: 0.8813, recall: 0.9403, relative_absolute_error: 0.3769, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2487, root_relative_squared_error: 0.5428, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9627, kappa: 0.9115, kb_relative_information_score: 13353.4315, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.9631, predictive_accuracy: 0.9625, prior_entropy: 0.8813, recall: 0.9625, relative_absolute_error: 0.2555, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.421, scimark_benchmark: 940.3347, usercpu_time_millis: 420, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9767, kappa: 0.9448, kb_relative_information_score: 13791.9529, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.9772, predictive_accuracy: 0.9765, prior_entropy: 0.8813, recall: 0.9765, relative_absolute_error: 0.2354, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.359, scimark_benchmark: 1322.7257, usercpu_time_millis: 100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9804, kappa: 0.9536, kb_relative_information_score: 12154.8843, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.9806, predictive_accuracy: 0.9804, prior_entropy: 0.8813, recall: 0.9804, relative_absolute_error: 0.3277, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.4776, scimark_benchmark: 1341.5795, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9804, kappa: 0.9536, kb_relative_information_score: 12154.8843, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.4199, number_of_instances: 17280, precision: 0.9806, predictive_accuracy: 0.9804, prior_entropy: 0.8813, recall: 0.9804, relative_absolute_error: 0.3277, root_mean_prior_squared_error: 0.4582, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.4776, scimark_benchmark: 1288.1375,

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