OpenML
Supervised Classification on boston

Supervised Classification on boston

Task 4441 Supervised Classification boston 217 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8458, kappa: 0.6803, kb_relative_information_score: 3063.4557, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.847, predictive_accuracy: 0.847, prior_entropy: 0.9782, recall: 0.847, relative_absolute_error: 0.416, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6922, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8491, kappa: 0.6874, kb_relative_information_score: 2757.6817, mean_absolute_error: 0.2346, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8496, predictive_accuracy: 0.85, prior_entropy: 0.9782, recall: 0.85, relative_absolute_error: 0.4838, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.332, root_relative_squared_error: 0.6743, scimark_benchmark: 972.587, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9213, f_measure: 0.8645, kappa: 0.7195, kb_relative_information_score: 3265.6402, mean_absolute_error: 0.1805, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8649, predictive_accuracy: 0.8652, prior_entropy: 0.9782, recall: 0.8652, relative_absolute_error: 0.3722, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.6494, scimark_benchmark: 934.3687, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5981, f_measure: 0.6024, kappa: 0.2191, kb_relative_information_score: 1473.6745, mean_absolute_error: 0.3391, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.7078, predictive_accuracy: 0.6609, prior_entropy: 0.9782, recall: 0.6609, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.5823, root_relative_squared_error: 1.1827, scimark_benchmark: 931.771, usercpu_time_millis: 130, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5981, f_measure: 0.6024, kappa: 0.2191, kb_relative_information_score: 1473.6745, mean_absolute_error: 0.3391, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.7078, predictive_accuracy: 0.6609, prior_entropy: 0.9782, recall: 0.6609, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.5823, root_relative_squared_error: 1.1827, scimark_benchmark: 944.1067, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8601, kappa: 0.7103, kb_relative_information_score: 3442.1797, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8606, predictive_accuracy: 0.8609, prior_entropy: 0.9782, recall: 0.8609, relative_absolute_error: 0.3249, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6566, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.8679, kappa: 0.7263, kb_relative_information_score: 3141.1108, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8688, predictive_accuracy: 0.8688, prior_entropy: 0.9782, recall: 0.8688, relative_absolute_error: 0.4038, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.6325, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.8937, kappa: 0.7799, kb_relative_information_score: 3345.6467, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8944, predictive_accuracy: 0.8943, prior_entropy: 0.9782, recall: 0.8943, relative_absolute_error: 0.3627, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.29, root_relative_squared_error: 0.589, scimark_benchmark: 934.2976, usercpu_time_millis: 4490, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 4390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, f_measure: 0.8372, kappa: 0.6636, kb_relative_information_score: 3168.2428, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8371, predictive_accuracy: 0.8375, prior_entropy: 0.9782, recall: 0.8375, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.366, root_relative_squared_error: 0.7434, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5981, f_measure: 0.6024, kappa: 0.2191, kb_relative_information_score: 1473.6745, mean_absolute_error: 0.3391, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.7078, predictive_accuracy: 0.6609, prior_entropy: 0.9782, recall: 0.6609, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.5823, root_relative_squared_error: 1.1827, scimark_benchmark: 937.5117, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5981, f_measure: 0.6024, kappa: 0.2191, kb_relative_information_score: 1473.6745, mean_absolute_error: 0.3391, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.7078, predictive_accuracy: 0.6609, prior_entropy: 0.9782, recall: 0.6609, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.5823, root_relative_squared_error: 1.1827, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8601, kappa: 0.7103, kb_relative_information_score: 3442.1797, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8606, predictive_accuracy: 0.8609, prior_entropy: 0.9782, recall: 0.8609, relative_absolute_error: 0.3249, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6566, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8601, kappa: 0.7103, kb_relative_information_score: 3442.1797, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8606, predictive_accuracy: 0.8609, prior_entropy: 0.9782, recall: 0.8609, relative_absolute_error: 0.3249, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6566, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8601, kappa: 0.7103, kb_relative_information_score: 3442.1797, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8606, predictive_accuracy: 0.8609, prior_entropy: 0.9782, recall: 0.8609, relative_absolute_error: 0.3249, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6566, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.8827, kappa: 0.7572, kb_relative_information_score: 3309.9864, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8831, predictive_accuracy: 0.8832, prior_entropy: 0.9782, recall: 0.8832, relative_absolute_error: 0.368, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2898, root_relative_squared_error: 0.5886, scimark_benchmark: 974.2014, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8458, kappa: 0.6803, kb_relative_information_score: 3063.4557, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.847, predictive_accuracy: 0.847, prior_entropy: 0.9782, recall: 0.847, relative_absolute_error: 0.416, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6922, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8491, kappa: 0.6874, kb_relative_information_score: 2757.6817, mean_absolute_error: 0.2346, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8496, predictive_accuracy: 0.85, prior_entropy: 0.9782, recall: 0.85, relative_absolute_error: 0.4838, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.332, root_relative_squared_error: 0.6743, scimark_benchmark: 908.9569, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9213, f_measure: 0.8645, kappa: 0.7195, kb_relative_information_score: 3265.6402, mean_absolute_error: 0.1805, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8649, predictive_accuracy: 0.8652, prior_entropy: 0.9782, recall: 0.8652, relative_absolute_error: 0.3722, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.6494, scimark_benchmark: 936.2574, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5981, f_measure: 0.6024, kappa: 0.2191, kb_relative_information_score: 1473.6745, mean_absolute_error: 0.3391, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.7078, predictive_accuracy: 0.6609, prior_entropy: 0.9782, recall: 0.6609, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.5823, root_relative_squared_error: 1.1827, scimark_benchmark: 926.5462, usercpu_time_millis: 120, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, f_measure: 0.7948, kappa: 0.5818, kb_relative_information_score: 2873.8314, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8003, predictive_accuracy: 0.7935, prior_entropy: 0.9782, recall: 0.7935, relative_absolute_error: 0.4264, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.8743, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8601, kappa: 0.7103, kb_relative_information_score: 3442.1797, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8606, predictive_accuracy: 0.8609, prior_entropy: 0.9782, recall: 0.8609, relative_absolute_error: 0.3249, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6566, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8601, kappa: 0.7103, kb_relative_information_score: 3442.1797, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8606, predictive_accuracy: 0.8609, prior_entropy: 0.9782, recall: 0.8609, relative_absolute_error: 0.3249, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6566, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8601, kappa: 0.7103, kb_relative_information_score: 3442.1797, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8606, predictive_accuracy: 0.8609, prior_entropy: 0.9782, recall: 0.8609, relative_absolute_error: 0.3249, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6566, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.8679, kappa: 0.7263, kb_relative_information_score: 3141.1108, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8688, predictive_accuracy: 0.8688, prior_entropy: 0.9782, recall: 0.8688, relative_absolute_error: 0.4038, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.6325, scimark_benchmark: 903.2737, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.8937, kappa: 0.7799, kb_relative_information_score: 3345.6467, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8944, predictive_accuracy: 0.8943, prior_entropy: 0.9782, recall: 0.8943, relative_absolute_error: 0.3627, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.29, root_relative_squared_error: 0.589, scimark_benchmark: 936.3213, usercpu_time_millis: 2670, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 2610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8601, kappa: 0.7103, kb_relative_information_score: 3442.1797, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8606, predictive_accuracy: 0.8609, prior_entropy: 0.9782, recall: 0.8609, relative_absolute_error: 0.3249, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6566, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, f_measure: 0.8372, kappa: 0.6636, kb_relative_information_score: 3168.2428, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8371, predictive_accuracy: 0.8375, prior_entropy: 0.9782, recall: 0.8375, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.366, root_relative_squared_error: 0.7434, scimark_benchmark: 936.9595, usercpu_time_millis: 400, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.8827, kappa: 0.7572, kb_relative_information_score: 3309.9864, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8831, predictive_accuracy: 0.8832, prior_entropy: 0.9782, recall: 0.8832, relative_absolute_error: 0.368, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2898, root_relative_squared_error: 0.5886, scimark_benchmark: 936.9595, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.8871, kappa: 0.7661, kb_relative_information_score: 3311.0225, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8879, predictive_accuracy: 0.8877, prior_entropy: 0.9782, recall: 0.8877, relative_absolute_error: 0.3703, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.5831, scimark_benchmark: 901.4991, usercpu_time_millis: 4840, usercpu_time_millis_testing: 1860, usercpu_time_millis_training: 2980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.8867, kappa: 0.7652, kb_relative_information_score: 3310.0443, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8875, predictive_accuracy: 0.8874, prior_entropy: 0.9782, recall: 0.8874, relative_absolute_error: 0.3705, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.288, root_relative_squared_error: 0.5848, scimark_benchmark: 933.3455, usercpu_time_millis: 1850, usercpu_time_millis_testing: 420, usercpu_time_millis_training: 1430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.8854, kappa: 0.7627, kb_relative_information_score: 3310.2662, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8859, predictive_accuracy: 0.886, prior_entropy: 0.9782, recall: 0.886, relative_absolute_error: 0.3699, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2883, root_relative_squared_error: 0.5855, scimark_benchmark: 939.7241, usercpu_time_millis: 940, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.881, kappa: 0.7535, kb_relative_information_score: 3292.893, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.882, predictive_accuracy: 0.8818, prior_entropy: 0.9782, recall: 0.8818, relative_absolute_error: 0.3724, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.5961, scimark_benchmark: 931.6751, usercpu_time_millis: 500, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, f_measure: 0.8779, kappa: 0.7473, kb_relative_information_score: 3278.9394, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8783, predictive_accuracy: 0.8785, prior_entropy: 0.9782, recall: 0.8785, relative_absolute_error: 0.373, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.606, scimark_benchmark: 914.3583, usercpu_time_millis: 230, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8306, kappa: 0.6513, kb_relative_information_score: 2946.2923, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8311, predictive_accuracy: 0.8302, prior_entropy: 0.9782, recall: 0.8302, relative_absolute_error: 0.4293, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7288, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8306, kappa: 0.6513, kb_relative_information_score: 2946.2923, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8311, predictive_accuracy: 0.8302, prior_entropy: 0.9782, recall: 0.8302, relative_absolute_error: 0.4293, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7288, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8306, kappa: 0.6513, kb_relative_information_score: 2946.2923, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8311, predictive_accuracy: 0.8302, prior_entropy: 0.9782, recall: 0.8302, relative_absolute_error: 0.4293, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7288, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, f_measure: 0.7948, kappa: 0.5818, kb_relative_information_score: 2873.8314, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8003, predictive_accuracy: 0.7935, prior_entropy: 0.9782, recall: 0.7935, relative_absolute_error: 0.4264, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.8743, scimark_benchmark: 1324.7884,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5981, f_measure: 0.6024, kappa: 0.2191, kb_relative_information_score: 1473.6745, mean_absolute_error: 0.3391, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.7078, predictive_accuracy: 0.6609, prior_entropy: 0.9782, recall: 0.6609, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.5823, root_relative_squared_error: 1.1827, scimark_benchmark: 1309.0674, usercpu_time_millis: 180, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, f_measure: 0.7948, kappa: 0.5818, kb_relative_information_score: 2873.8314, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8003, predictive_accuracy: 0.7935, prior_entropy: 0.9782, recall: 0.7935, relative_absolute_error: 0.4264, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.8743, scimark_benchmark: 1335.6555, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8601, kappa: 0.7103, kb_relative_information_score: 3442.1797, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8606, predictive_accuracy: 0.8609, prior_entropy: 0.9782, recall: 0.8609, relative_absolute_error: 0.3249, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6566, scimark_benchmark: 1349.1517, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, f_measure: 0.7948, kappa: 0.5818, kb_relative_information_score: 2873.8314, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8003, predictive_accuracy: 0.7935, prior_entropy: 0.9782, recall: 0.7935, relative_absolute_error: 0.4264, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.8743, scimark_benchmark: 1329.8008, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8601, kappa: 0.7103, kb_relative_information_score: 3442.1797, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8606, predictive_accuracy: 0.8609, prior_entropy: 0.9782, recall: 0.8609, relative_absolute_error: 0.3249, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6566, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8601, kappa: 0.7103, kb_relative_information_score: 3442.1797, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8606, predictive_accuracy: 0.8609, prior_entropy: 0.9782, recall: 0.8609, relative_absolute_error: 0.3249, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6566, scimark_benchmark: 1319.4538, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.8937, kappa: 0.7799, kb_relative_information_score: 3345.6469, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8944, predictive_accuracy: 0.8943, prior_entropy: 0.9782, recall: 0.8943, relative_absolute_error: 0.3627, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.29, root_relative_squared_error: 0.589, scimark_benchmark: 1332.7986, usercpu_time_millis: 4170, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 4120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8601, kappa: 0.7103, kb_relative_information_score: 3442.1797, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8606, predictive_accuracy: 0.8609, prior_entropy: 0.9782, recall: 0.8609, relative_absolute_error: 0.3249, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6566, scimark_benchmark: 1354.5533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.8827, kappa: 0.7572, kb_relative_information_score: 3309.9864, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8831, predictive_accuracy: 0.8832, prior_entropy: 0.9782, recall: 0.8832, relative_absolute_error: 0.368, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2898, root_relative_squared_error: 0.5886, scimark_benchmark: 1338.1299, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8491, kappa: 0.6874, kb_relative_information_score: 2757.6817, mean_absolute_error: 0.2346, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8496, predictive_accuracy: 0.85, prior_entropy: 0.9782, recall: 0.85, relative_absolute_error: 0.4838, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.332, root_relative_squared_error: 0.6743, scimark_benchmark: 1350.7721, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9213, f_measure: 0.8645, kappa: 0.7195, kb_relative_information_score: 3265.6402, mean_absolute_error: 0.1805, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8649, predictive_accuracy: 0.8652, prior_entropy: 0.9782, recall: 0.8652, relative_absolute_error: 0.3722, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.6494, scimark_benchmark: 1334.863, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, f_measure: 0.8372, kappa: 0.6636, kb_relative_information_score: 3168.2428, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8371, predictive_accuracy: 0.8375, prior_entropy: 0.9782, recall: 0.8375, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.366, root_relative_squared_error: 0.7434, scimark_benchmark: 1309.2287, usercpu_time_millis: 360, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.8827, kappa: 0.7572, kb_relative_information_score: 3309.9864, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8831, predictive_accuracy: 0.8832, prior_entropy: 0.9782, recall: 0.8832, relative_absolute_error: 0.368, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2898, root_relative_squared_error: 0.5886, scimark_benchmark: 1310.6554, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.8755, kappa: 0.7424, kb_relative_information_score: 3264.8115, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8756, predictive_accuracy: 0.8759, prior_entropy: 0.9782, recall: 0.8759, relative_absolute_error: 0.3739, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3053, root_relative_squared_error: 0.62, scimark_benchmark: 1417.3093, usercpu_time_millis: 210, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8491, kappa: 0.6874, kb_relative_information_score: 2757.6817, mean_absolute_error: 0.2346, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8496, predictive_accuracy: 0.85, prior_entropy: 0.9782, recall: 0.85, relative_absolute_error: 0.4838, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.332, root_relative_squared_error: 0.6743, scimark_benchmark: 1320.8283, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9213, f_measure: 0.8645, kappa: 0.7195, kb_relative_information_score: 3265.6402, mean_absolute_error: 0.1805, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8649, predictive_accuracy: 0.8652, prior_entropy: 0.9782, recall: 0.8652, relative_absolute_error: 0.3722, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.6494, scimark_benchmark: 1330.4755, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.8751, kappa: 0.7417, kb_relative_information_score: 3101.1582, mean_absolute_error: 0.1995, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8752, predictive_accuracy: 0.8755, prior_entropy: 0.9782, recall: 0.8755, relative_absolute_error: 0.4115, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.63, scimark_benchmark: 1337.1928, usercpu_time_millis: 410, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8601, kappa: 0.7103, kb_relative_information_score: 3442.1797, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8606, predictive_accuracy: 0.8609, prior_entropy: 0.9782, recall: 0.8609, relative_absolute_error: 0.3249, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6566, scimark_benchmark: 1367.3264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.8679, kappa: 0.7263, kb_relative_information_score: 3141.1108, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8688, predictive_accuracy: 0.8688, prior_entropy: 0.9782, recall: 0.8688, relative_absolute_error: 0.4038, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.6325, scimark_benchmark: 1371.174, usercpu_time_millis: 30, usercpu_time_millis_training: 30,

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