Task
Supervised Classification on tae

Supervised Classification on tae

Task 277 Supervised Classification tae 311 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6274, f_measure: 0.4213, kappa: 0.2314, kb_relative_information_score: 6.847, mean_absolute_error: 0.4108, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.4167, predictive_accuracy: 0.5102, prior_entropy: 1.5845, recall: 0.5102, relative_absolute_error: 0.9242, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.9549, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6453, f_measure: 0.4975, kappa: 0.2368, kb_relative_information_score: 12.5442, mean_absolute_error: 0.3722, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5127, predictive_accuracy: 0.4898, prior_entropy: 1.5845, recall: 0.4898, relative_absolute_error: 0.8375, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4752, root_relative_squared_error: 1.0079, scimark_benchmark: 851.2074, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5586, f_measure: 0.4017, kappa: 0.1179, kb_relative_information_score: 9.2673, mean_absolute_error: 0.3946, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.4169, predictive_accuracy: 0.4082, prior_entropy: 1.5845, recall: 0.4082, relative_absolute_error: 0.8877, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.6281, root_relative_squared_error: 1.3322, scimark_benchmark: 916.0735, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5586, f_measure: 0.4017, kappa: 0.1179, kb_relative_information_score: 9.2673, mean_absolute_error: 0.3946, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.4169, predictive_accuracy: 0.4082, prior_entropy: 1.5845, recall: 0.4082, relative_absolute_error: 0.8877, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.6281, root_relative_squared_error: 1.3322, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6321, f_measure: 0.3301, kappa: 0.1552, kb_relative_information_score: 6.1675, mean_absolute_error: 0.4154, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.3425, predictive_accuracy: 0.4082, prior_entropy: 1.5845, recall: 0.4082, relative_absolute_error: 0.9346, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.454, root_relative_squared_error: 0.9628, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6321, f_measure: 0.3301, kappa: 0.1552, kb_relative_information_score: 6.1675, mean_absolute_error: 0.4154, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.3425, predictive_accuracy: 0.4082, prior_entropy: 1.5845, recall: 0.4082, relative_absolute_error: 0.9346, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.454, root_relative_squared_error: 0.9628, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.5146, kappa: 0.2682, kb_relative_information_score: 9.3183, mean_absolute_error: 0.3926, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5267, predictive_accuracy: 0.5102, prior_entropy: 1.5845, recall: 0.5102, relative_absolute_error: 0.8833, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9712, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6321, f_measure: 0.3301, kappa: 0.1552, kb_relative_information_score: 6.1675, mean_absolute_error: 0.4154, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.3425, predictive_accuracy: 0.4082, prior_entropy: 1.5845, recall: 0.4082, relative_absolute_error: 0.9346, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.454, root_relative_squared_error: 0.9628, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.638, f_measure: 0.5099, kappa: 0.2571, kb_relative_information_score: 10.4351, mean_absolute_error: 0.3879, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5318, predictive_accuracy: 0.5102, prior_entropy: 1.5845, recall: 0.5102, relative_absolute_error: 0.8728, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4617, root_relative_squared_error: 0.9792, scimark_benchmark: 927.2917, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.5705, kappa: 0.3585, kb_relative_information_score: 16.8067, mean_absolute_error: 0.3298, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5753, predictive_accuracy: 0.5714, prior_entropy: 1.5845, recall: 0.5714, relative_absolute_error: 0.7421, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.9406, scimark_benchmark: 931.771, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5586, f_measure: 0.4017, kappa: 0.1179, kb_relative_information_score: 9.2673, mean_absolute_error: 0.3946, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.4169, predictive_accuracy: 0.4082, prior_entropy: 1.5845, recall: 0.4082, relative_absolute_error: 0.8877, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.6281, root_relative_squared_error: 1.3322, scimark_benchmark: 937.5117, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6321, f_measure: 0.3301, kappa: 0.1552, kb_relative_information_score: 6.0865, mean_absolute_error: 0.4148, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.3425, predictive_accuracy: 0.4082, prior_entropy: 1.5845, recall: 0.4082, relative_absolute_error: 0.9332, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.9636, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6321, f_measure: 0.3301, kappa: 0.1552, kb_relative_information_score: 6.1675, mean_absolute_error: 0.4154, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.3425, predictive_accuracy: 0.4082, prior_entropy: 1.5845, recall: 0.4082, relative_absolute_error: 0.9346, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.454, root_relative_squared_error: 0.9628, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.638, f_measure: 0.5099, kappa: 0.2571, kb_relative_information_score: 10.4351, mean_absolute_error: 0.3879, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5318, predictive_accuracy: 0.5102, prior_entropy: 1.5845, recall: 0.5102, relative_absolute_error: 0.8728, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4617, root_relative_squared_error: 0.9792, scimark_benchmark: 938.5498, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.5705, kappa: 0.3585, kb_relative_information_score: 16.8067, mean_absolute_error: 0.3298, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5753, predictive_accuracy: 0.5714, prior_entropy: 1.5845, recall: 0.5714, relative_absolute_error: 0.7421, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.9406, scimark_benchmark: 943.1009, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6274, f_measure: 0.4213, kappa: 0.2314, kb_relative_information_score: 6.847, mean_absolute_error: 0.4108, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.4167, predictive_accuracy: 0.5102, prior_entropy: 1.5845, recall: 0.5102, relative_absolute_error: 0.9242, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.9549, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6453, f_measure: 0.4975, kappa: 0.2368, kb_relative_information_score: 12.5442, mean_absolute_error: 0.3722, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5127, predictive_accuracy: 0.4898, prior_entropy: 1.5845, recall: 0.4898, relative_absolute_error: 0.8375, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4752, root_relative_squared_error: 1.0079, scimark_benchmark: 936.2574, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5586, f_measure: 0.4017, kappa: 0.1179, kb_relative_information_score: 9.2673, mean_absolute_error: 0.3946, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.4169, predictive_accuracy: 0.4082, prior_entropy: 1.5845, recall: 0.4082, relative_absolute_error: 0.8877, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.6281, root_relative_squared_error: 1.3322, scimark_benchmark: 927.2882, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6321, f_measure: 0.3301, kappa: 0.1552, kb_relative_information_score: 6.1675, mean_absolute_error: 0.4154, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.3425, predictive_accuracy: 0.4082, prior_entropy: 1.5845, recall: 0.4082, relative_absolute_error: 0.9346, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.454, root_relative_squared_error: 0.9628, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6321, f_measure: 0.3301, kappa: 0.1552, kb_relative_information_score: 6.1675, mean_absolute_error: 0.4154, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.3425, predictive_accuracy: 0.4082, prior_entropy: 1.5845, recall: 0.4082, relative_absolute_error: 0.9346, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.454, root_relative_squared_error: 0.9628, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6321, f_measure: 0.3301, kappa: 0.1552, kb_relative_information_score: 6.1675, mean_absolute_error: 0.4154, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.3425, predictive_accuracy: 0.4082, prior_entropy: 1.5845, recall: 0.4082, relative_absolute_error: 0.9346, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.454, root_relative_squared_error: 0.9628, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.5146, kappa: 0.2682, kb_relative_information_score: 9.3183, mean_absolute_error: 0.3926, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5267, predictive_accuracy: 0.5102, prior_entropy: 1.5845, recall: 0.5102, relative_absolute_error: 0.8833, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9712, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6321, f_measure: 0.3301, kappa: 0.1552, kb_relative_information_score: 6.1675, mean_absolute_error: 0.4154, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.3425, predictive_accuracy: 0.4082, prior_entropy: 1.5845, recall: 0.4082, relative_absolute_error: 0.9346, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.454, root_relative_squared_error: 0.9628, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.5705, kappa: 0.3585, kb_relative_information_score: 16.8067, mean_absolute_error: 0.3298, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5753, predictive_accuracy: 0.5714, prior_entropy: 1.5845, recall: 0.5714, relative_absolute_error: 0.7421, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.9406, scimark_benchmark: 901.4991, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7542, f_measure: 0.6182, kappa: 0.4185, kb_relative_information_score: 15.2789, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.6315, predictive_accuracy: 0.6122, prior_entropy: 1.5845, recall: 0.6122, relative_absolute_error: 0.7737, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.9038, scimark_benchmark: 763.3895, usercpu_time_millis: 800, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.6335, kappa: 0.4456, kb_relative_information_score: 15.487, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.6351, predictive_accuracy: 0.6327, prior_entropy: 1.5845, recall: 0.6327, relative_absolute_error: 0.7723, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.9012, scimark_benchmark: 859.5223, usercpu_time_millis: 270, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.6134, kappa: 0.4145, kb_relative_information_score: 14.8152, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.6177, predictive_accuracy: 0.6122, prior_entropy: 1.5845, recall: 0.6122, relative_absolute_error: 0.7811, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4291, root_relative_squared_error: 0.9101, scimark_benchmark: 935.0213, usercpu_time_millis: 140, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7545, f_measure: 0.6134, kappa: 0.4145, kb_relative_information_score: 16.067, mean_absolute_error: 0.3371, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.6177, predictive_accuracy: 0.6122, prior_entropy: 1.5845, recall: 0.6122, relative_absolute_error: 0.7585, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.9083, scimark_benchmark: 911.2316, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, f_measure: 0.6147, kappa: 0.4163, kb_relative_information_score: 16.7088, mean_absolute_error: 0.3319, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.618, predictive_accuracy: 0.6122, prior_entropy: 1.5845, recall: 0.6122, relative_absolute_error: 0.7467, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.9039, scimark_benchmark: 894.7131, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.127, kb_relative_information_score: 0.2845, mean_absolute_error: 0.4456, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.0816, predictive_accuracy: 0.2857, prior_entropy: 1.5845, recall: 0.2857, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4731, root_relative_squared_error: 1.0034, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4745, f_measure: 0.2501, kappa: -0.0189, kb_relative_information_score: 2.4444, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.205, predictive_accuracy: 0.3265, prior_entropy: 1.5845, recall: 0.3265, relative_absolute_error: 1.0133, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4986, root_relative_squared_error: 1.0575, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4745, f_measure: 0.2501, kappa: -0.0189, kb_relative_information_score: 2.4444, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.205, predictive_accuracy: 0.3265, prior_entropy: 1.5845, recall: 0.3265, relative_absolute_error: 1.0133, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4986, root_relative_squared_error: 1.0575, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4745, f_measure: 0.2501, kappa: -0.0189, kb_relative_information_score: 2.4444, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.205, predictive_accuracy: 0.3265, prior_entropy: 1.5845, recall: 0.3265, relative_absolute_error: 1.0133, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4986, root_relative_squared_error: 1.0575, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4745, f_measure: 0.2501, kappa: -0.0189, kb_relative_information_score: 2.4444, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.205, predictive_accuracy: 0.3265, prior_entropy: 1.5845, recall: 0.3265, relative_absolute_error: 1.0133, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4986, root_relative_squared_error: 1.0575, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4745, f_measure: 0.2501, kappa: -0.0189, kb_relative_information_score: 2.4444, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.205, predictive_accuracy: 0.3265, prior_entropy: 1.5845, recall: 0.3265, relative_absolute_error: 1.0133, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4986, root_relative_squared_error: 1.0575, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.127, kb_relative_information_score: 1.124, mean_absolute_error: 0.4762, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.0816, predictive_accuracy: 0.2857, prior_entropy: 1.5845, recall: 0.2857, relative_absolute_error: 1.0714, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.6901, root_relative_squared_error: 1.4635, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6222, f_measure: 0.4858, kappa: 0.2296, kb_relative_information_score: 8.7564, mean_absolute_error: 0.399, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5703, predictive_accuracy: 0.4898, prior_entropy: 1.5845, recall: 0.4898, relative_absolute_error: 0.8977, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4692, root_relative_squared_error: 0.9952, scimark_benchmark: 926.5859, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6966, f_measure: 0.5642, kappa: 0.3483, kb_relative_information_score: 8.3951, mean_absolute_error: 0.3937, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5645, predictive_accuracy: 0.5714, prior_entropy: 1.5845, recall: 0.5714, relative_absolute_error: 0.8858, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.9329, scimark_benchmark: 936.7184, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6453, f_measure: 0.4975, kappa: 0.2368, kb_relative_information_score: 12.5442, mean_absolute_error: 0.3722, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5127, predictive_accuracy: 0.4898, prior_entropy: 1.5845, recall: 0.4898, relative_absolute_error: 0.8375, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4752, root_relative_squared_error: 1.0079, scimark_benchmark: 1253.0071, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5586, f_measure: 0.4017, kappa: 0.1179, kb_relative_information_score: 9.2673, mean_absolute_error: 0.3946, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.4169, predictive_accuracy: 0.4082, prior_entropy: 1.5845, recall: 0.4082, relative_absolute_error: 0.8877, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.6281, root_relative_squared_error: 1.3322, scimark_benchmark: 1352.9931, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6321, f_measure: 0.3301, kappa: 0.1552, kb_relative_information_score: 6.1675, mean_absolute_error: 0.4154, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.3425, predictive_accuracy: 0.4082, prior_entropy: 1.5845, recall: 0.4082, relative_absolute_error: 0.9346, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.454, root_relative_squared_error: 0.9628, scimark_benchmark: 1299.6719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6321, f_measure: 0.3301, kappa: 0.1552, kb_relative_information_score: 6.1675, mean_absolute_error: 0.4154, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.3425, predictive_accuracy: 0.4082, prior_entropy: 1.5845, recall: 0.4082, relative_absolute_error: 0.9346, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.454, root_relative_squared_error: 0.9628, scimark_benchmark: 1343.7262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6321, f_measure: 0.3301, kappa: 0.1552, kb_relative_information_score: 6.1675, mean_absolute_error: 0.4154, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.3425, predictive_accuracy: 0.4082, prior_entropy: 1.5845, recall: 0.4082, relative_absolute_error: 0.9346, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.454, root_relative_squared_error: 0.9628, scimark_benchmark: 1345.0202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.5705, kappa: 0.3585, kb_relative_information_score: 16.8067, mean_absolute_error: 0.3298, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5753, predictive_accuracy: 0.5714, prior_entropy: 1.5845, recall: 0.5714, relative_absolute_error: 0.7421, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.9406, scimark_benchmark: 1348.2804, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6274, f_measure: 0.4213, kappa: 0.2314, kb_relative_information_score: 6.847, mean_absolute_error: 0.4108, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.4167, predictive_accuracy: 0.5102, prior_entropy: 1.5845, recall: 0.5102, relative_absolute_error: 0.9242, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.9549, scimark_benchmark: 1318.3027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6321, f_measure: 0.3301, kappa: 0.1552, kb_relative_information_score: 6.1675, mean_absolute_error: 0.4154, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.3425, predictive_accuracy: 0.4082, prior_entropy: 1.5845, recall: 0.4082, relative_absolute_error: 0.9346, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.454, root_relative_squared_error: 0.9628, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6321, f_measure: 0.3301, kappa: 0.1552, kb_relative_information_score: 6.1675, mean_absolute_error: 0.4154, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.3425, predictive_accuracy: 0.4082, prior_entropy: 1.5845, recall: 0.4082, relative_absolute_error: 0.9346, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.454, root_relative_squared_error: 0.9628, scimark_benchmark: 1340.9647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.5705, kappa: 0.3585, kb_relative_information_score: 16.8067, mean_absolute_error: 0.3298, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5753, predictive_accuracy: 0.5714, prior_entropy: 1.5845, recall: 0.5714, relative_absolute_error: 0.7421, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.9406, scimark_benchmark: 1260.1387, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6274, f_measure: 0.4213, kappa: 0.2314, kb_relative_information_score: 6.847, mean_absolute_error: 0.4108, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.4167, predictive_accuracy: 0.5102, prior_entropy: 1.5845, recall: 0.5102, relative_absolute_error: 0.9242, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.9549, scimark_benchmark: 1334.1324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5586, f_measure: 0.4017, kappa: 0.1179, kb_relative_information_score: 9.2673, mean_absolute_error: 0.3946, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.4169, predictive_accuracy: 0.4082, prior_entropy: 1.5845, recall: 0.4082, relative_absolute_error: 0.8877, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.6281, root_relative_squared_error: 1.3322, scimark_benchmark: 1317.5857, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6321, f_measure: 0.3301, kappa: 0.1552, kb_relative_information_score: 6.0865, mean_absolute_error: 0.4148, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.3425, predictive_accuracy: 0.4082, prior_entropy: 1.5845, recall: 0.4082, relative_absolute_error: 0.9332, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.9636, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6321, f_measure: 0.3301, kappa: 0.1552, kb_relative_information_score: 6.1675, mean_absolute_error: 0.4154, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.3425, predictive_accuracy: 0.4082, prior_entropy: 1.5845, recall: 0.4082, relative_absolute_error: 0.9346, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.454, root_relative_squared_error: 0.9628, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.5705, kappa: 0.3585, kb_relative_information_score: 16.8067, mean_absolute_error: 0.3298, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5753, predictive_accuracy: 0.5714, prior_entropy: 1.5845, recall: 0.5714, relative_absolute_error: 0.7421, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.9406, scimark_benchmark: 1347.993, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6321, f_measure: 0.3301, kappa: 0.1552, kb_relative_information_score: 6.0865, mean_absolute_error: 0.4148, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.3425, predictive_accuracy: 0.4082, prior_entropy: 1.5845, recall: 0.4082, relative_absolute_error: 0.9332, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.9636, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.5705, kappa: 0.3585, kb_relative_information_score: 16.8067, mean_absolute_error: 0.3298, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5753, predictive_accuracy: 0.5714, prior_entropy: 1.5845, recall: 0.5714, relative_absolute_error: 0.7421, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.9406, scimark_benchmark: 1322.7257, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6321, f_measure: 0.3301, kappa: 0.1552, kb_relative_information_score: 6.0865, mean_absolute_error: 0.4148, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.3425, predictive_accuracy: 0.4082, prior_entropy: 1.5845, recall: 0.4082, relative_absolute_error: 0.9332, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.9636, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6321, f_measure: 0.3301, kappa: 0.1552, kb_relative_information_score: 6.1675, mean_absolute_error: 0.4154, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.3425, predictive_accuracy: 0.4082, prior_entropy: 1.5845, recall: 0.4082, relative_absolute_error: 0.9346, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.454, root_relative_squared_error: 0.9628, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.638, f_measure: 0.5099, kappa: 0.2571, kb_relative_information_score: 10.4351, mean_absolute_error: 0.3879, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5318, predictive_accuracy: 0.5102, prior_entropy: 1.5845, recall: 0.5102, relative_absolute_error: 0.8728, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4617, root_relative_squared_error: 0.9792, scimark_benchmark: 1328.1857, usercpu_time_millis: 40, usercpu_time_millis_training: 40,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs