OpenML
Supervised Classification on chscase_census6

Supervised Classification on chscase_census6

Task 3763 Supervised Classification chscase_census6 585 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.4842, kappa: 0.0038, kb_relative_information_score: 0.9128, mean_absolute_error: 0.4828, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5194, predictive_accuracy: 0.5725, prior_entropy: 0.978, recall: 0.5725, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4994, root_relative_squared_error: 1.0145, scimark_benchmark: 763.3895, usercpu_time_millis: 1490, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.0512, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 944.0133, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.1035, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 934.695, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4697, f_measure: 0.4865, kappa: -0.0571, kb_relative_information_score: -9.3489, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4828, predictive_accuracy: 0.52, prior_entropy: 0.978, recall: 0.52, relative_absolute_error: 1.0113, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5143, root_relative_squared_error: 1.0447, scimark_benchmark: 936.3213, usercpu_time_millis: 190, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4658, f_measure: 0.4348, kb_relative_information_score: -0.0845, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4924, root_relative_squared_error: 1.0002, scimark_benchmark: 936.9595, usercpu_time_millis: 590, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4681, f_measure: 0.4348, kb_relative_information_score: -0.1498, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4924, root_relative_squared_error: 1.0003, scimark_benchmark: 941.4991, usercpu_time_millis: 300, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4819, f_measure: 0.4348, kb_relative_information_score: -0.0243, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 945.2015, usercpu_time_millis: 150, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: 0.0012, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 924.2305, usercpu_time_millis: 110, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.0581, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4924, root_relative_squared_error: 1.0002, scimark_benchmark: 889.4922, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4426, f_measure: 0.467, kappa: -0.0849, kb_relative_information_score: -20.3572, mean_absolute_error: 0.5037, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4618, predictive_accuracy: 0.515, prior_entropy: 0.978, recall: 0.515, relative_absolute_error: 1.039, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5362, root_relative_squared_error: 1.0892, scimark_benchmark: 926.5859, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4426, f_measure: 0.467, kappa: -0.0849, kb_relative_information_score: -20.3572, mean_absolute_error: 0.5037, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4618, predictive_accuracy: 0.515, prior_entropy: 0.978, recall: 0.515, relative_absolute_error: 1.039, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5362, root_relative_squared_error: 1.0892, scimark_benchmark: 935.6052, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4379, f_measure: 0.4595, kappa: -0.0982, kb_relative_information_score: -21.614, mean_absolute_error: 0.5049, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4524, predictive_accuracy: 0.51, prior_entropy: 0.978, recall: 0.51, relative_absolute_error: 1.0416, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5365, root_relative_squared_error: 1.0897, scimark_benchmark: 894.7131, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4222, f_measure: 0.454, kappa: -0.1094, kb_relative_information_score: -23.1712, mean_absolute_error: 0.5065, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4453, predictive_accuracy: 0.505, prior_entropy: 0.978, recall: 0.505, relative_absolute_error: 1.0449, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5363, root_relative_squared_error: 1.0894, scimark_benchmark: 926.5859, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4177, f_measure: 0.47, kappa: -0.0709, kb_relative_information_score: -23.4281, mean_absolute_error: 0.5072, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4676, predictive_accuracy: 0.525, prior_entropy: 0.978, recall: 0.525, relative_absolute_error: 1.0463, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5323, root_relative_squared_error: 1.0812, scimark_benchmark: 929.0296, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.1035, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4412, f_measure: 0.4775, kappa: -0.0427, kb_relative_information_score: 5.7309, mean_absolute_error: 0.4753, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4831, predictive_accuracy: 0.5425, prior_entropy: 0.978, recall: 0.5425, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5868, root_relative_squared_error: 1.1919, scimark_benchmark: 926.5859, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4314, f_measure: 0.4677, kappa: -0.0511, kb_relative_information_score: 3.5442, mean_absolute_error: 0.4781, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4725, predictive_accuracy: 0.5425, prior_entropy: 0.978, recall: 0.5425, relative_absolute_error: 0.9863, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5824, root_relative_squared_error: 1.1831, scimark_benchmark: 935.6052, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4395, f_measure: 0.451, kappa: -0.0566, kb_relative_information_score: 7.7009, mean_absolute_error: 0.4729, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4519, predictive_accuracy: 0.5475, prior_entropy: 0.978, recall: 0.5475, relative_absolute_error: 0.9756, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5734, root_relative_squared_error: 1.1647, scimark_benchmark: 940.0055, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4291, f_measure: 0.4435, kappa: -0.073, kb_relative_information_score: 2.9982, mean_absolute_error: 0.479, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4354, predictive_accuracy: 0.54, prior_entropy: 0.978, recall: 0.54, relative_absolute_error: 0.988, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5696, root_relative_squared_error: 1.1571, scimark_benchmark: 935.6052, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4365, f_measure: 0.4575, kappa: -0.0176, kb_relative_information_score: 11.973, mean_absolute_error: 0.4686, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4863, predictive_accuracy: 0.57, prior_entropy: 0.978, recall: 0.57, relative_absolute_error: 0.9667, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5695, root_relative_squared_error: 1.1569, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4348, kb_relative_information_score: 54.9977, mean_absolute_error: 0.4125, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6423, root_relative_squared_error: 1.3047, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: 0.0012, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 942.6192, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4389, f_measure: 0.4337, kappa: -0.0353, kb_relative_information_score: -14.3445, mean_absolute_error: 0.4956, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4094, predictive_accuracy: 0.5675, prior_entropy: 0.978, recall: 0.5675, relative_absolute_error: 1.0223, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4965, root_relative_squared_error: 1.0085, scimark_benchmark: 943.4741, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4409, f_measure: 0.4656, kappa: -0.0459, kb_relative_information_score: -8.413, mean_absolute_error: 0.4911, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4731, predictive_accuracy: 0.5475, prior_entropy: 0.978, recall: 0.5475, relative_absolute_error: 1.0131, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0184, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: 0.0012, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 899.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4599, f_measure: 0.4854, kappa: -0.0493, kb_relative_information_score: -22.4867, mean_absolute_error: 0.5057, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4847, predictive_accuracy: 0.53, prior_entropy: 0.978, recall: 0.53, relative_absolute_error: 1.0433, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5259, root_relative_squared_error: 1.0682, scimark_benchmark: 926.4745, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4826, f_measure: 0.4976, kappa: -0.0119, kb_relative_information_score: -13.3913, mean_absolute_error: 0.4972, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5071, predictive_accuracy: 0.5525, prior_entropy: 0.978, recall: 0.5525, relative_absolute_error: 1.0257, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5335, root_relative_squared_error: 1.0838, scimark_benchmark: 934.929, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.0512, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.0512, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4528, f_measure: 0.4925, kappa: -0.0519, kb_relative_information_score: -14.1394, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4878, predictive_accuracy: 0.515, prior_entropy: 0.978, recall: 0.515, relative_absolute_error: 1.0228, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5211, root_relative_squared_error: 1.0586, scimark_benchmark: 922.5036, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.4842, kappa: 0.0038, kb_relative_information_score: 0.9157, mean_absolute_error: 0.4828, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5194, predictive_accuracy: 0.5725, prior_entropy: 0.978, recall: 0.5725, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4994, root_relative_squared_error: 1.0145, scimark_benchmark: 946.6409, usercpu_time_millis: 1020, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.0512, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 942.3809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.1035, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 952.4682, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4697, f_measure: 0.4865, kappa: -0.0571, kb_relative_information_score: -9.3489, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4828, predictive_accuracy: 0.52, prior_entropy: 0.978, recall: 0.52, relative_absolute_error: 1.0113, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5143, root_relative_squared_error: 1.0447, scimark_benchmark: 942.3809, usercpu_time_millis: 180, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: 0.0012, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 946.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4811, f_measure: 0.4413, kappa: -0.0434, kb_relative_information_score: 32.0035, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4377, predictive_accuracy: 0.56, prior_entropy: 0.978, recall: 0.56, relative_absolute_error: 0.9077, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3474, scimark_benchmark: 1340.2044, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4811, f_measure: 0.4413, kappa: -0.0434, kb_relative_information_score: 32.0035, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4377, predictive_accuracy: 0.56, prior_entropy: 0.978, recall: 0.56, relative_absolute_error: 0.9077, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3474, scimark_benchmark: 1327.5842, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4528, f_measure: 0.4925, kappa: -0.0519, kb_relative_information_score: -14.1394, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4878, predictive_accuracy: 0.515, prior_entropy: 0.978, recall: 0.515, relative_absolute_error: 1.0228, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5211, root_relative_squared_error: 1.0586, scimark_benchmark: 1339.4412, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.1035, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 1309.0674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4697, f_measure: 0.4865, kappa: -0.0571, kb_relative_information_score: -9.3489, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4828, predictive_accuracy: 0.52, prior_entropy: 0.978, recall: 0.52, relative_absolute_error: 1.0113, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5143, root_relative_squared_error: 1.0447, scimark_benchmark: 1323.5075, usercpu_time_millis: 170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 150,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4826, f_measure: 0.4976, kappa: -0.0119, kb_relative_information_score: -13.3913, mean_absolute_error: 0.4972, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5071, predictive_accuracy: 0.5525, prior_entropy: 0.978, recall: 0.5525, relative_absolute_error: 1.0257, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5335, root_relative_squared_error: 1.0838, scimark_benchmark: 1336.0954, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4811, f_measure: 0.4413, kappa: -0.0434, kb_relative_information_score: 32.0035, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4377, predictive_accuracy: 0.56, prior_entropy: 0.978, recall: 0.56, relative_absolute_error: 0.9077, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3474, scimark_benchmark: 1318.6467, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.0512, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 1317.2327,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: 0.0012, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4599, f_measure: 0.4854, kappa: -0.0493, kb_relative_information_score: -22.4867, mean_absolute_error: 0.5057, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4847, predictive_accuracy: 0.53, prior_entropy: 0.978, recall: 0.53, relative_absolute_error: 1.0433, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5259, root_relative_squared_error: 1.0682, scimark_benchmark: 1318.3027, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.1035, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 1350.8432, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4697, f_measure: 0.4865, kappa: -0.0571, kb_relative_information_score: -9.3489, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4828, predictive_accuracy: 0.52, prior_entropy: 0.978, recall: 0.52, relative_absolute_error: 1.0113, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5143, root_relative_squared_error: 1.0447, scimark_benchmark: 1322.7257, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.0512, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4697, f_measure: 0.4865, kappa: -0.0571, kb_relative_information_score: -9.3489, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4828, predictive_accuracy: 0.52, prior_entropy: 0.978, recall: 0.52, relative_absolute_error: 1.0113, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5143, root_relative_squared_error: 1.0447, scimark_benchmark: 942.9708, usercpu_time_millis: 170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 150,

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