OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 31695 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9265, kappa: 0.8165, kb_relative_information_score: 24976.6326, mean_absolute_error: 0.1144, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9287, predictive_accuracy: 0.9283, prior_entropy: 0.863, recall: 0.9283, relative_absolute_error: 0.2804, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.5077, scimark_benchmark: 1735.1328, usercpu_time_millis: 1192.499, usercpu_time_millis_testing: 4.541, usercpu_time_millis_training: 1187.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9488, kappa: 0.8744, kb_relative_information_score: 27016.4131, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9488, predictive_accuracy: 0.9489, prior_entropy: 0.863, recall: 0.9489, relative_absolute_error: 0.2267, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.199, root_relative_squared_error: 0.4406, scimark_benchmark: 1734.7321, usercpu_time_millis: 2213.372, usercpu_time_millis_testing: 17.382, usercpu_time_millis_training: 2195.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9597, kappa: 0.901, kb_relative_information_score: 28499.4762, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9596, predictive_accuracy: 0.9597, prior_entropy: 0.863, recall: 0.9597, relative_absolute_error: 0.1824, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.3945, scimark_benchmark: 1730.1287, usercpu_time_millis: 831.033, usercpu_time_millis_testing: 4.347, usercpu_time_millis_training: 826.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9276, kappa: 0.8192, kb_relative_information_score: 24727.3826, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9294, predictive_accuracy: 0.9292, prior_entropy: 0.863, recall: 0.9292, relative_absolute_error: 0.2971, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.5012, scimark_benchmark: 1732.0396, usercpu_time_millis: 1018.96, usercpu_time_millis_testing: 9.369, usercpu_time_millis_training: 1009.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9338, kappa: 0.8356, kb_relative_information_score: 25320.3538, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9344, predictive_accuracy: 0.9347, prior_entropy: 0.863, recall: 0.9347, relative_absolute_error: 0.2713, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.4964, scimark_benchmark: 1726.1218, usercpu_time_millis: 2304.359, usercpu_time_millis_testing: 10.227, usercpu_time_millis_training: 2294.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9498, kappa: 0.8769, kb_relative_information_score: 27896.3186, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9498, predictive_accuracy: 0.9498, prior_entropy: 0.863, recall: 0.9498, relative_absolute_error: 0.1963, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.194, root_relative_squared_error: 0.4295, scimark_benchmark: 1716.4871, usercpu_time_millis: 5178.793, usercpu_time_millis_testing: 13.017, usercpu_time_millis_training: 5165.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9611, kappa: 0.9046, kb_relative_information_score: 28858.5696, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9611, predictive_accuracy: 0.9611, prior_entropy: 0.863, recall: 0.9611, relative_absolute_error: 0.1712, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.3858, scimark_benchmark: 1754.0976, usercpu_time_millis: 2973.394, usercpu_time_millis_testing: 8.702, usercpu_time_millis_training: 2964.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9619, kappa: 0.9064, kb_relative_information_score: 30050.1664, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9618, predictive_accuracy: 0.9619, prior_entropy: 0.863, recall: 0.9619, relative_absolute_error: 0.1284, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.3754, scimark_benchmark: 1717.7351, usercpu_time_millis: 3280.777, usercpu_time_millis_testing: 6.775, usercpu_time_millis_training: 3274.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9499, kappa: 0.8762, kb_relative_information_score: 25931.7239, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9501, predictive_accuracy: 0.9503, prior_entropy: 0.863, recall: 0.9503, relative_absolute_error: 0.2704, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.4457, scimark_benchmark: 1728.354, usercpu_time_millis: 656.19, usercpu_time_millis_testing: 21.856, usercpu_time_millis_training: 634.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9602, kappa: 0.9024, kb_relative_information_score: 28671.554, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9602, predictive_accuracy: 0.9602, prior_entropy: 0.863, recall: 0.9602, relative_absolute_error: 0.177, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.176, root_relative_squared_error: 0.3896, scimark_benchmark: 1747.8131, usercpu_time_millis: 971.5, usercpu_time_millis_testing: 3.927, usercpu_time_millis_training: 967.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9516, kappa: 0.8812, kb_relative_information_score: 27414.3183, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9515, predictive_accuracy: 0.9516, prior_entropy: 0.863, recall: 0.9516, relative_absolute_error: 0.2144, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.4312, scimark_benchmark: 1728.4686, usercpu_time_millis: 986.085, usercpu_time_millis_testing: 6.358, usercpu_time_millis_training: 979.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.954, kappa: 0.8871, kb_relative_information_score: 27863.6879, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9539, predictive_accuracy: 0.954, prior_entropy: 0.863, recall: 0.954, relative_absolute_error: 0.2004, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.4195, scimark_benchmark: 1728.4686, usercpu_time_millis: 3496.97, usercpu_time_millis_testing: 15.852, usercpu_time_millis_training: 3481.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9609, kappa: 0.904, kb_relative_information_score: 28704.5574, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9608, predictive_accuracy: 0.9609, prior_entropy: 0.863, recall: 0.9609, relative_absolute_error: 0.1766, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.175, root_relative_squared_error: 0.3873, scimark_benchmark: 1742.7327, usercpu_time_millis: 769.119, usercpu_time_millis_testing: 4.563, usercpu_time_millis_training: 764.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -0.0566, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1767.0541, usercpu_time_millis: 41.635, usercpu_time_millis_testing: 5.066, usercpu_time_millis_training: 36.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: 5.4717, mean_absolute_error: 0.4079, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1758.286, usercpu_time_millis: 6.361, usercpu_time_millis_testing: 0.439, usercpu_time_millis_training: 5.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9532, kappa: 0.8853, kb_relative_information_score: 27950.128, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9532, predictive_accuracy: 0.9532, prior_entropy: 0.863, recall: 0.9532, relative_absolute_error: 0.197, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.4182, scimark_benchmark: 1748.3286, usercpu_time_millis: 656.528, usercpu_time_millis_testing: 1.946, usercpu_time_millis_training: 654.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9667, kappa: 0.9182, kb_relative_information_score: 29405.7707, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9666, predictive_accuracy: 0.9667, prior_entropy: 0.863, recall: 0.9667, relative_absolute_error: 0.157, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.358, scimark_benchmark: 1799.9047, usercpu_time_millis: 581.201, usercpu_time_millis_testing: 9.666, usercpu_time_millis_training: 571.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9414, kappa: 0.8548, kb_relative_information_score: 23387.4492, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.942, predictive_accuracy: 0.9422, prior_entropy: 0.863, recall: 0.9422, relative_absolute_error: 0.3555, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.4993, scimark_benchmark: 1700.872, usercpu_time_millis: 55.465, usercpu_time_millis_testing: 2.251, usercpu_time_millis_training: 53.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9273, kappa: 0.8189, kb_relative_information_score: 22961.7714, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9288, predictive_accuracy: 0.9288, prior_entropy: 0.863, recall: 0.9288, relative_absolute_error: 0.3642, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.235, root_relative_squared_error: 0.5202, scimark_benchmark: 1748.4319, usercpu_time_millis: 159.581, usercpu_time_millis_testing: 3.143, usercpu_time_millis_training: 156.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9664, kappa: 0.9175, kb_relative_information_score: 29561.477, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9663, predictive_accuracy: 0.9664, prior_entropy: 0.863, recall: 0.9664, relative_absolute_error: 0.1515, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.3548, scimark_benchmark: 1846.1643, usercpu_time_millis: 698.688, usercpu_time_millis_testing: 7.549, usercpu_time_millis_training: 691.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9566, kappa: 0.8934, kb_relative_information_score: 28764.7405, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9565, predictive_accuracy: 0.9567, prior_entropy: 0.863, recall: 0.9567, relative_absolute_error: 0.169, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.183, root_relative_squared_error: 0.4051, scimark_benchmark: 1683.5841, usercpu_time_millis: 15.842, usercpu_time_millis_testing: 0.527, usercpu_time_millis_training: 15.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.8592, kappa: 0.6534, kb_relative_information_score: 14766.7153, mean_absolute_error: 0.2471, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8587, predictive_accuracy: 0.8599, prior_entropy: 0.863, recall: 0.8599, relative_absolute_error: 0.6055, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.7204, scimark_benchmark: 1762.0199, usercpu_time_millis: 71.572, usercpu_time_millis_testing: 2.473, usercpu_time_millis_training: 69.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9366, kappa: 0.8428, kb_relative_information_score: 25137.3433, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.937, predictive_accuracy: 0.9374, prior_entropy: 0.863, recall: 0.9374, relative_absolute_error: 0.2884, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.4829, scimark_benchmark: 1727.8236, usercpu_time_millis: 329.904, usercpu_time_millis_testing: 7.111, usercpu_time_millis_training: 322.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9316, kappa: 0.8299, kb_relative_information_score: 25152.6376, mean_absolute_error: 0.1144, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9327, predictive_accuracy: 0.9328, prior_entropy: 0.863, recall: 0.9328, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.4976, scimark_benchmark: 1737.3308, usercpu_time_millis: 2961.074, usercpu_time_millis_testing: 20.766, usercpu_time_millis_training: 2940.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9582, kappa: 0.8974, kb_relative_information_score: 28321.5227, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9582, predictive_accuracy: 0.9583, prior_entropy: 0.863, recall: 0.9583, relative_absolute_error: 0.188, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.4015, scimark_benchmark: 1712.625, usercpu_time_millis: 3942.738, usercpu_time_millis_testing: 33.176, usercpu_time_millis_training: 3909.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.961, kappa: 0.9043, kb_relative_information_score: 28986.3065, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9609, predictive_accuracy: 0.961, prior_entropy: 0.863, recall: 0.961, relative_absolute_error: 0.1664, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.3832, scimark_benchmark: 1727.4365, usercpu_time_millis: 1314.053, usercpu_time_millis_testing: 4.527, usercpu_time_millis_training: 1309.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9649, kappa: 0.9139, kb_relative_information_score: 29489.3197, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9649, predictive_accuracy: 0.965, prior_entropy: 0.863, recall: 0.965, relative_absolute_error: 0.1525, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.3647, scimark_benchmark: 2002.3537, usercpu_time_millis: 1612.869, usercpu_time_millis_testing: 5.128, usercpu_time_millis_training: 1607.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9233, kappa: 0.808, kb_relative_information_score: 24825.2592, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9261, predictive_accuracy: 0.9253, prior_entropy: 0.863, recall: 0.9253, relative_absolute_error: 0.2858, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.5111, scimark_benchmark: 1729.8402, usercpu_time_millis: 3022.457, usercpu_time_millis_testing: 10.189, usercpu_time_millis_training: 3012.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9675, kappa: 0.9201, kb_relative_information_score: 29708.1643, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9674, predictive_accuracy: 0.9675, prior_entropy: 0.863, recall: 0.9675, relative_absolute_error: 0.1466, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.16, root_relative_squared_error: 0.3542, scimark_benchmark: 1736.4936, usercpu_time_millis: 993.19, usercpu_time_millis_testing: 3.779, usercpu_time_millis_training: 989.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9407, kappa: 0.8534, kb_relative_information_score: 26302.7089, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9407, predictive_accuracy: 0.9412, prior_entropy: 0.863, recall: 0.9412, relative_absolute_error: 0.2439, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.4687, scimark_benchmark: 1738.7868, usercpu_time_millis: 2419.402, usercpu_time_millis_testing: 11.843, usercpu_time_millis_training: 2407.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9315, kappa: 0.8296, kb_relative_information_score: 25130.1627, mean_absolute_error: 0.1127, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9325, predictive_accuracy: 0.9327, prior_entropy: 0.863, recall: 0.9327, relative_absolute_error: 0.2761, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.227, root_relative_squared_error: 0.5026, scimark_benchmark: 1724.1067, usercpu_time_millis: 3028.294, usercpu_time_millis_testing: 8.758, usercpu_time_millis_training: 3019.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9198, kappa: 0.7991, kb_relative_information_score: 24639.7867, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9232, predictive_accuracy: 0.9222, prior_entropy: 0.863, recall: 0.9222, relative_absolute_error: 0.2899, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2347, root_relative_squared_error: 0.5196, scimark_benchmark: 1744.3284, usercpu_time_millis: 3455.733, usercpu_time_millis_testing: 12.362, usercpu_time_millis_training: 3443.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.921, kappa: 0.8021, kb_relative_information_score: 24725.964, mean_absolute_error: 0.1175, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9241, predictive_accuracy: 0.9232, prior_entropy: 0.863, recall: 0.9232, relative_absolute_error: 0.288, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.5155, scimark_benchmark: 1736.1564, usercpu_time_millis: 3174.082, usercpu_time_millis_testing: 11.017, usercpu_time_millis_training: 3163.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.937, kappa: 0.844, kb_relative_information_score: 26073.0123, mean_absolute_error: 0.1027, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9372, predictive_accuracy: 0.9377, prior_entropy: 0.863, recall: 0.9377, relative_absolute_error: 0.2516, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4724, scimark_benchmark: 1740.1669, usercpu_time_millis: 2625.661, usercpu_time_millis_testing: 12.097, usercpu_time_millis_training: 2613.564,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9372, kappa: 0.8446, kb_relative_information_score: 25667.6163, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9374, predictive_accuracy: 0.9379, prior_entropy: 0.863, recall: 0.9379, relative_absolute_error: 0.2667, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.4792, scimark_benchmark: 1723.9607, usercpu_time_millis: 122.983, usercpu_time_millis_testing: 1.478, usercpu_time_millis_training: 121.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9592, kappa: 0.8999, kb_relative_information_score: 28214.3573, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9592, predictive_accuracy: 0.9593, prior_entropy: 0.863, recall: 0.9593, relative_absolute_error: 0.1932, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.3955, scimark_benchmark: 1779.5767, usercpu_time_millis: 142.249, usercpu_time_millis_testing: 2.564, usercpu_time_millis_training: 139.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -5.005, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1758.2697, usercpu_time_millis: 14.701, usercpu_time_millis_testing: 0.71, usercpu_time_millis_training: 13.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9164, kappa: 0.7896, kb_relative_information_score: 24377.1915, mean_absolute_error: 0.1238, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9214, predictive_accuracy: 0.9193, prior_entropy: 0.863, recall: 0.9193, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2354, root_relative_squared_error: 0.5212, scimark_benchmark: 1720.0545, usercpu_time_millis: 201.198, usercpu_time_millis_testing: 0.962, usercpu_time_millis_training: 200.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.93, kappa: 0.8254, kb_relative_information_score: 25021.7685, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9314, predictive_accuracy: 0.9314, prior_entropy: 0.863, recall: 0.9314, relative_absolute_error: 0.2819, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.503, scimark_benchmark: 1756.145, usercpu_time_millis: 278.438, usercpu_time_millis_testing: 1.221, usercpu_time_millis_training: 277.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9684, kappa: 0.9224, kb_relative_information_score: 29551.2601, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9684, predictive_accuracy: 0.9685, prior_entropy: 0.863, recall: 0.9685, relative_absolute_error: 0.1537, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.3481, scimark_benchmark: 1774.9409, usercpu_time_millis: 98.17, usercpu_time_millis_testing: 3.113, usercpu_time_millis_training: 95.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9627, kappa: 0.9084, kb_relative_information_score: 29246.5472, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9626, predictive_accuracy: 0.9627, prior_entropy: 0.863, recall: 0.9627, relative_absolute_error: 0.1569, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1736, root_relative_squared_error: 0.3843, scimark_benchmark: 1753.7111, usercpu_time_millis: 33.234, usercpu_time_millis_testing: 0.478, usercpu_time_millis_training: 32.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.6216, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1734.4458, usercpu_time_millis: 43.452, usercpu_time_millis_testing: 3.434, usercpu_time_millis_training: 40.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.7194, kappa: 0.2831, kb_relative_information_score: 8158.4718, mean_absolute_error: 0.3308, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8265, predictive_accuracy: 0.7759, prior_entropy: 0.863, recall: 0.7759, relative_absolute_error: 0.8106, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.8268, scimark_benchmark: 1756.7686, usercpu_time_millis: 49.821, usercpu_time_millis_testing: 4.914, usercpu_time_millis_training: 44.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9225, kappa: 0.806, kb_relative_information_score: 23510.9643, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9255, predictive_accuracy: 0.9246, prior_entropy: 0.863, recall: 0.9246, relative_absolute_error: 0.3435, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.5156, scimark_benchmark: 1756.7402, usercpu_time_millis: 404.699, usercpu_time_millis_testing: 6.744, usercpu_time_millis_training: 397.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9615, kappa: 0.9054, kb_relative_information_score: 28770.996, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9614, predictive_accuracy: 0.9615, prior_entropy: 0.863, recall: 0.9615, relative_absolute_error: 0.1746, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.3868, scimark_benchmark: 1723.9607, usercpu_time_millis: 1956.236, usercpu_time_millis_testing: 10.958, usercpu_time_millis_training: 1945.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9452, kappa: 0.865, kb_relative_information_score: 26732.5691, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9451, predictive_accuracy: 0.9455, prior_entropy: 0.863, recall: 0.9455, relative_absolute_error: 0.2326, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.4555, scimark_benchmark: 1764.5546, usercpu_time_millis: 1716.539, usercpu_time_millis_testing: 6.272, usercpu_time_millis_training: 1710.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9397, kappa: 0.8516, kb_relative_information_score: 26919.939, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9396, predictive_accuracy: 0.94, prior_entropy: 0.863, recall: 0.94, relative_absolute_error: 0.2217, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4724, scimark_benchmark: 1735.9375, usercpu_time_millis: 2637.023, usercpu_time_millis_testing: 4.909, usercpu_time_millis_training: 2632.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9167, kappa: 0.7903, kb_relative_information_score: 24038.0513, mean_absolute_error: 0.1303, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9219, predictive_accuracy: 0.9196, prior_entropy: 0.863, recall: 0.9196, relative_absolute_error: 0.3192, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.521, scimark_benchmark: 1753.8412, usercpu_time_millis: 298.147, usercpu_time_millis_testing: 3.272, usercpu_time_millis_training: 294.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9678, kappa: 0.921, kb_relative_information_score: 29706.6531, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9678, predictive_accuracy: 0.9679, prior_entropy: 0.863, recall: 0.9679, relative_absolute_error: 0.1468, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.3527, scimark_benchmark: 1852.5406, usercpu_time_millis: 444.176, usercpu_time_millis_testing: 3.038, usercpu_time_millis_training: 441.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9246, kappa: 0.8114, kb_relative_information_score: 24926.4119, mean_absolute_error: 0.1156, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9273, predictive_accuracy: 0.9266, prior_entropy: 0.863, recall: 0.9266, relative_absolute_error: 0.2833, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.5072, scimark_benchmark: 1759.7357, usercpu_time_millis: 2277.649, usercpu_time_millis_testing: 9.264, usercpu_time_millis_training: 2268.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9405, kappa: 0.8529, kb_relative_information_score: 25967.606, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9406, predictive_accuracy: 0.941, prior_entropy: 0.863, recall: 0.941, relative_absolute_error: 0.2597, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.4648, scimark_benchmark: 1750.3857, usercpu_time_millis: 356.262, usercpu_time_millis_testing: 6.72, usercpu_time_millis_training: 349.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9656, kappa: 0.9155, kb_relative_information_score: 29541.337, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9655, predictive_accuracy: 0.9656, prior_entropy: 0.863, recall: 0.9656, relative_absolute_error: 0.151, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.3622, scimark_benchmark: 1854.4951, usercpu_time_millis: 1700.766, usercpu_time_millis_testing: 5.121, usercpu_time_millis_training: 1695.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9144, kappa: 0.7846, kb_relative_information_score: 24357.5513, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9198, predictive_accuracy: 0.9175, prior_entropy: 0.863, recall: 0.9175, relative_absolute_error: 0.2993, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2397, root_relative_squared_error: 0.5306, scimark_benchmark: 1730.7008, usercpu_time_millis: 2492.647, usercpu_time_millis_testing: 7.056, usercpu_time_millis_training: 2485.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9254, kappa: 0.8136, kb_relative_information_score: 23485.5705, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9275, predictive_accuracy: 0.9272, prior_entropy: 0.863, recall: 0.9272, relative_absolute_error: 0.3442, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.5163, scimark_benchmark: 1849.8294, usercpu_time_millis: 30.154, usercpu_time_millis_testing: 0.601, usercpu_time_millis_training: 29.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 1.3916, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1853.9849, usercpu_time_millis: 40.812, usercpu_time_millis_testing: 4.994, usercpu_time_millis_training: 35.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9613, kappa: 0.9048, kb_relative_information_score: 28509.6471, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9612, predictive_accuracy: 0.9614, prior_entropy: 0.863, recall: 0.9614, relative_absolute_error: 0.1851, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1736, root_relative_squared_error: 0.3843, scimark_benchmark: 1844.3626, usercpu_time_millis: 232.006, usercpu_time_millis_testing: 4.832, usercpu_time_millis_training: 227.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.8489, kappa: 0.6133, kb_relative_information_score: 12019.2191, mean_absolute_error: 0.287, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8691, predictive_accuracy: 0.8608, prior_entropy: 0.863, recall: 0.8608, relative_absolute_error: 0.7032, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.742, scimark_benchmark: 1851.3986, usercpu_time_millis: 54.401, usercpu_time_millis_testing: 5.111, usercpu_time_millis_training: 49.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.8578, kappa: 0.6532, kb_relative_information_score: 15534.364, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8586, predictive_accuracy: 0.8572, prior_entropy: 0.863, recall: 0.8572, relative_absolute_error: 0.5755, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.7392, scimark_benchmark: 1844.6953, usercpu_time_millis: 253.167, usercpu_time_millis_testing: 5.581, usercpu_time_millis_training: 247.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9449, kappa: 0.8642, kb_relative_information_score: 26589.707, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9448, predictive_accuracy: 0.9451, prior_entropy: 0.863, recall: 0.9451, relative_absolute_error: 0.2391, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.204, root_relative_squared_error: 0.4516, scimark_benchmark: 1736.9559, usercpu_time_millis: 504.101, usercpu_time_millis_testing: 6.041, usercpu_time_millis_training: 498.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9535, kappa: 0.8858, kb_relative_information_score: 27614.5243, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9534, predictive_accuracy: 0.9535, prior_entropy: 0.863, recall: 0.9535, relative_absolute_error: 0.2093, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.191, root_relative_squared_error: 0.4229, scimark_benchmark: 1777.7891, usercpu_time_millis: 1535.702, usercpu_time_millis_testing: 15.555, usercpu_time_millis_training: 1520.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9563, kappa: 0.8928, kb_relative_information_score: 27954.3291, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9563, predictive_accuracy: 0.9564, prior_entropy: 0.863, recall: 0.9564, relative_absolute_error: 0.1997, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.4078, scimark_benchmark: 1731.6389, usercpu_time_millis: 830.542, usercpu_time_millis_testing: 16.692, usercpu_time_millis_training: 813.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9476, kappa: 0.871, kb_relative_information_score: 26707.2092, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9475, predictive_accuracy: 0.9478, prior_entropy: 0.863, recall: 0.9478, relative_absolute_error: 0.2373, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.201, root_relative_squared_error: 0.4449, scimark_benchmark: 1777.3147, usercpu_time_millis: 666.312, usercpu_time_millis_testing: 11.138, usercpu_time_millis_training: 655.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9669, kappa: 0.9187, kb_relative_information_score: 29457.4364, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9668, predictive_accuracy: 0.9669, prior_entropy: 0.863, recall: 0.9669, relative_absolute_error: 0.1553, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.357, scimark_benchmark: 1766.8165, usercpu_time_millis: 720.985, usercpu_time_millis_testing: 7.82, usercpu_time_millis_training: 713.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9344, kappa: 0.8373, kb_relative_information_score: 25353.6835, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9349, predictive_accuracy: 0.9353, prior_entropy: 0.863, recall: 0.9353, relative_absolute_error: 0.2706, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.4949, scimark_benchmark: 1855.0232, usercpu_time_millis: 3883.796, usercpu_time_millis_testing: 11.57, usercpu_time_millis_training: 3872.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9545, kappa: 0.8882, kb_relative_information_score: 28965.9347, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9544, predictive_accuracy: 0.9545, prior_entropy: 0.863, recall: 0.9545, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.4042, scimark_benchmark: 1753.0586, usercpu_time_millis: 4311.307, usercpu_time_millis_testing: 7.558, usercpu_time_millis_training: 4303.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9511, kappa: 0.8801, kb_relative_information_score: 27828.2666, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9511, predictive_accuracy: 0.9511, prior_entropy: 0.863, recall: 0.9511, relative_absolute_error: 0.1994, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.4276, scimark_benchmark: 1746.2858, usercpu_time_millis: 6775.986, usercpu_time_millis_testing: 16.415, usercpu_time_millis_training: 6759.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9192, kappa: 0.797, kb_relative_information_score: 24223.2855, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9235, predictive_accuracy: 0.9218, prior_entropy: 0.863, recall: 0.9218, relative_absolute_error: 0.3147, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.5141, scimark_benchmark: 1734.2107, usercpu_time_millis: 440.989, usercpu_time_millis_testing: 7.762, usercpu_time_millis_training: 433.227,

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