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Supervised Classification on chscase_census4

Supervised Classification on chscase_census4

Task 4475 Supervised Classification chscase_census4 217 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4766, f_measure: 0.4828, kappa: -0.0329, kb_relative_information_score: -60.4446, mean_absolute_error: 0.5058, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4837, predictive_accuracy: 0.486, prior_entropy: 0.9994, recall: 0.486, relative_absolute_error: 1.0126, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5417, root_relative_squared_error: 1.0839, scimark_benchmark: 1324.6608, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.494, f_measure: 0.4559, kappa: -0.0058, kb_relative_information_score: -2.3843, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.496, predictive_accuracy: 0.5063, prior_entropy: 0.9994, recall: 0.5063, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0032, scimark_benchmark: 1318.6467, usercpu_time_millis: 300, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 1335.2363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4851, f_measure: 0.4828, kappa: -0.0354, kb_relative_information_score: -33.8321, mean_absolute_error: 0.5027, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4827, predictive_accuracy: 0.4835, prior_entropy: 0.9994, recall: 0.4835, relative_absolute_error: 1.0063, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5219, root_relative_squared_error: 1.0442, scimark_benchmark: 1335.2363, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 1321.4561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4903, f_measure: 0.4939, kappa: -0.0123, kb_relative_information_score: -25.1515, mean_absolute_error: 0.5021, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4943, predictive_accuracy: 0.4958, prior_entropy: 0.9994, recall: 0.4958, relative_absolute_error: 1.005, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5184, root_relative_squared_error: 1.0373, scimark_benchmark: 1325.6322, usercpu_time_millis: 150, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3697, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 1317.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4596, f_measure: 0.4696, kappa: -0.0561, kb_relative_information_score: -78.4456, mean_absolute_error: 0.5078, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4715, predictive_accuracy: 0.4753, prior_entropy: 0.9994, recall: 0.4753, relative_absolute_error: 1.0165, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5235, root_relative_squared_error: 1.0474, scimark_benchmark: 1335.3438, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, f_measure: 0.4566, kappa: -0.02, kb_relative_information_score: -17.1882, mean_absolute_error: 0.5015, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4865, predictive_accuracy: 0.4985, prior_entropy: 0.9994, recall: 0.4985, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.7082, root_relative_squared_error: 1.417, scimark_benchmark: 1350.1007, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3972, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 1336.584, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, f_measure: 0.4566, kappa: -0.02, kb_relative_information_score: -17.1882, mean_absolute_error: 0.5015, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4865, predictive_accuracy: 0.4985, prior_entropy: 0.9994, recall: 0.4985, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.7082, root_relative_squared_error: 1.417, scimark_benchmark: 1346.1733, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, f_measure: 0.4566, kappa: -0.02, kb_relative_information_score: -17.1882, mean_absolute_error: 0.5015, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4865, predictive_accuracy: 0.4985, prior_entropy: 0.9994, recall: 0.4985, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.7082, root_relative_squared_error: 1.417, scimark_benchmark: 1260.1387, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3972, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 940.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 1449.4352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 1312.2688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4596, f_measure: 0.4696, kappa: -0.0561, kb_relative_information_score: -78.4456, mean_absolute_error: 0.5078, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4715, predictive_accuracy: 0.4753, prior_entropy: 0.9994, recall: 0.4753, relative_absolute_error: 1.0165, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5235, root_relative_squared_error: 1.0474, scimark_benchmark: 942.9708, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 1315.933, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4903, f_measure: 0.4939, kappa: -0.0123, kb_relative_information_score: -25.1515, mean_absolute_error: 0.5021, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4943, predictive_accuracy: 0.4958, prior_entropy: 0.9994, recall: 0.4958, relative_absolute_error: 1.005, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5184, root_relative_squared_error: 1.0373, scimark_benchmark: 1315.933, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3697, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 1329.8902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4903, f_measure: 0.4939, kappa: -0.0123, kb_relative_information_score: -25.1515, mean_absolute_error: 0.5021, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4943, predictive_accuracy: 0.4958, prior_entropy: 0.9994, recall: 0.4958, relative_absolute_error: 1.005, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5184, root_relative_squared_error: 1.0373, scimark_benchmark: 1357.5655, usercpu_time_millis: 150, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4818, f_measure: 0.4842, kappa: -0.0324, kb_relative_information_score: -34.447, mean_absolute_error: 0.5029, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4842, predictive_accuracy: 0.4853, prior_entropy: 0.9994, recall: 0.4853, relative_absolute_error: 1.0067, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5124, root_relative_squared_error: 1.0252, scimark_benchmark: 1064.8317, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4591, f_measure: 0.4656, kappa: -0.0691, kb_relative_information_score: -254.3684, mean_absolute_error: 0.5297, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4659, predictive_accuracy: 0.4655, prior_entropy: 0.9994, recall: 0.4655, relative_absolute_error: 1.0604, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6542, root_relative_squared_error: 1.3089, scimark_benchmark: 1368.9272, usercpu_time_millis: 2650, usercpu_time_millis_testing: 2650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4817, f_measure: 0.4822, kappa: -0.0367, kb_relative_information_score: -144.7939, mean_absolute_error: 0.5174, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4821, predictive_accuracy: 0.4825, prior_entropy: 0.9994, recall: 0.4825, relative_absolute_error: 1.0357, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.7174, root_relative_squared_error: 1.4354, scimark_benchmark: 1323.4648, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4596, f_measure: 0.4696, kappa: -0.0561, kb_relative_information_score: -78.4456, mean_absolute_error: 0.5078, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4715, predictive_accuracy: 0.4753, prior_entropy: 0.9994, recall: 0.4753, relative_absolute_error: 1.0165, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5235, root_relative_squared_error: 1.0474, scimark_benchmark: 1327.5791, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.474, f_measure: 0.4674, kappa: -0.0362, kb_relative_information_score: -116.3452, mean_absolute_error: 0.5136, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4795, predictive_accuracy: 0.488, prior_entropy: 0.9994, recall: 0.488, relative_absolute_error: 1.0281, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5941, root_relative_squared_error: 1.1888, scimark_benchmark: 1339.0817, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4794, f_measure: 0.4757, kappa: -0.049, kb_relative_information_score: -36.7653, mean_absolute_error: 0.5031, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4758, predictive_accuracy: 0.4773, prior_entropy: 0.9994, recall: 0.4773, relative_absolute_error: 1.0071, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.512, root_relative_squared_error: 1.0244, scimark_benchmark: 1309.4998, usercpu_time_millis: 340, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.505, f_measure: 0.5056, kappa: 0.0101, kb_relative_information_score: 40.8865, mean_absolute_error: 0.4943, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.5055, predictive_accuracy: 0.5058, prior_entropy: 0.9994, recall: 0.5058, relative_absolute_error: 0.9894, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.703, root_relative_squared_error: 1.4067, scimark_benchmark: 1320.9026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4859, f_measure: 0.4871, kappa: -0.0247, kb_relative_information_score: -21.9786, mean_absolute_error: 0.5017, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4879, predictive_accuracy: 0.49, prior_entropy: 0.9994, recall: 0.49, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5068, root_relative_squared_error: 1.014, scimark_benchmark: 1320.9026, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4863, f_measure: 0.49, kappa: -0.0194, kb_relative_information_score: -24.4674, mean_absolute_error: 0.502, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4906, predictive_accuracy: 0.4925, prior_entropy: 0.9994, recall: 0.4925, relative_absolute_error: 1.0049, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5083, root_relative_squared_error: 1.0172, scimark_benchmark: 1324.5988, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4707, f_measure: 0.4859, kappa: -0.0293, kb_relative_information_score: -107.6583, mean_absolute_error: 0.5121, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4858, predictive_accuracy: 0.4865, prior_entropy: 0.9994, recall: 0.4865, relative_absolute_error: 1.0252, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5552, root_relative_squared_error: 1.1108, scimark_benchmark: 1324.5988, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 937.1527, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3697, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 912.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4592, f_measure: 0.4739, kappa: -0.0518, kb_relative_information_score: -93.1901, mean_absolute_error: 0.5094, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4743, predictive_accuracy: 0.4763, prior_entropy: 0.9994, recall: 0.4763, relative_absolute_error: 1.0197, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5242, root_relative_squared_error: 1.0488, scimark_benchmark: 1333.5799, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4622, f_measure: 0.4711, kappa: -0.0558, kb_relative_information_score: -69.8552, mean_absolute_error: 0.5067, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.472, predictive_accuracy: 0.4748, prior_entropy: 0.9994, recall: 0.4748, relative_absolute_error: 1.0143, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5167, root_relative_squared_error: 1.0338, scimark_benchmark: 937.1527, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4388, f_measure: 0.4535, kappa: -0.092, kb_relative_information_score: -90.7617, mean_absolute_error: 0.5084, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4538, predictive_accuracy: 0.4565, prior_entropy: 0.9994, recall: 0.4565, relative_absolute_error: 1.0177, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5152, root_relative_squared_error: 1.0308, scimark_benchmark: 938.9967, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4309, f_measure: 0.4514, kappa: -0.0882, kb_relative_information_score: -89.7812, mean_absolute_error: 0.5082, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4541, predictive_accuracy: 0.46, prior_entropy: 0.9994, recall: 0.46, relative_absolute_error: 1.0173, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5128, root_relative_squared_error: 1.0261, scimark_benchmark: 935.5075, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4202, f_measure: 0.4348, kappa: -0.1038, kb_relative_information_score: -85.3556, mean_absolute_error: 0.5076, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4416, predictive_accuracy: 0.4543, prior_entropy: 0.9994, recall: 0.4543, relative_absolute_error: 1.0161, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.511, root_relative_squared_error: 1.0225, scimark_benchmark: 933.3136, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5034, kappa: 0.0064, kb_relative_information_score: -12.9854, mean_absolute_error: 0.5017, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.5037, predictive_accuracy: 0.5033, prior_entropy: 0.9994, recall: 0.5033, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.551, root_relative_squared_error: 1.1024, scimark_benchmark: 937.1527, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4852, f_measure: 0.5012, kappa: 0.0036, kb_relative_information_score: -75.2731, mean_absolute_error: 0.5101, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.5023, predictive_accuracy: 0.5013, prior_entropy: 0.9994, recall: 0.5013, relative_absolute_error: 1.0212, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.587, root_relative_squared_error: 1.1745, scimark_benchmark: 942.9518, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5014, f_measure: 0.5013, kappa: 0.0028, kb_relative_information_score: 4.8401, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.5019, predictive_accuracy: 0.5013, prior_entropy: 0.9994, recall: 0.5013, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.7062, root_relative_squared_error: 1.4131, scimark_benchmark: 1312.3073, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3501, kb_relative_information_score: 114.9817, mean_absolute_error: 0.485, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 0.9709, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6964, root_relative_squared_error: 1.3935, scimark_benchmark: 1287.514, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5024, f_measure: 0.4146, kappa: 0.0049, kb_relative_information_score: 112.9791, mean_absolute_error: 0.4853, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.5077, predictive_accuracy: 0.5148, prior_entropy: 0.9994, recall: 0.5148, relative_absolute_error: 0.9714, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6966, root_relative_squared_error: 1.3938, scimark_benchmark: 825.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.494, f_measure: 0.4559, kappa: -0.0058, kb_relative_information_score: -2.3843, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.496, predictive_accuracy: 0.5063, prior_entropy: 0.9994, recall: 0.5063, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0032, scimark_benchmark: 915.6729, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, f_measure: 0.5011, kappa: 0.005, kb_relative_information_score: 6.8427, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.503, predictive_accuracy: 0.5015, prior_entropy: 0.9994, recall: 0.5015, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.706, root_relative_squared_error: 1.4127, scimark_benchmark: 923.988, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.494, kappa: -0.0105, kb_relative_information_score: 7.4489, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4951, predictive_accuracy: 0.4973, prior_entropy: 0.9994, recall: 0.4973, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0202, scimark_benchmark: 926.6704, usercpu_time_millis: 6570, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 6560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3836, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 1337.7959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4903, f_measure: 0.4939, kappa: -0.0123, kb_relative_information_score: -25.1515, mean_absolute_error: 0.5021, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4943, predictive_accuracy: 0.4958, prior_entropy: 0.9994, recall: 0.4958, relative_absolute_error: 1.005, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5184, root_relative_squared_error: 1.0373, scimark_benchmark: 1341.5768, usercpu_time_millis: 150, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4948, f_measure: 0.4952, kappa: -0.0104, kb_relative_information_score: -43.2216, mean_absolute_error: 0.5048, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4952, predictive_accuracy: 0.4953, prior_entropy: 0.9994, recall: 0.4953, relative_absolute_error: 1.0104, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.7105, root_relative_squared_error: 1.4216, scimark_benchmark: 1315.0767, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4879, f_measure: 0.4912, kappa: -0.0175, kb_relative_information_score: -39.5732, mean_absolute_error: 0.5037, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4916, predictive_accuracy: 0.4933, prior_entropy: 0.9994, recall: 0.4933, relative_absolute_error: 1.0082, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5593, root_relative_squared_error: 1.119, scimark_benchmark: 1318.5526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4825, f_measure: 0.4534, kappa: -0.0178, kb_relative_information_score: -48.2329, mean_absolute_error: 0.5052, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4875, predictive_accuracy: 0.5, prior_entropy: 0.9994, recall: 0.5, relative_absolute_error: 1.0113, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5497, root_relative_squared_error: 1.0998, scimark_benchmark: 1301.9956, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5082, f_measure: 0.5087, kappa: 0.0163, kb_relative_information_score: 66.9199, mean_absolute_error: 0.491, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.5086, predictive_accuracy: 0.509, prior_entropy: 0.9994, recall: 0.509, relative_absolute_error: 0.9829, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.7007, root_relative_squared_error: 1.4021, scimark_benchmark: 1280.6952, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4839, f_measure: 0.411, kappa: -0.0328, kb_relative_information_score: -43.2216, mean_absolute_error: 0.5048, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.4643, predictive_accuracy: 0.4953, prior_entropy: 0.9994, recall: 0.4953, relative_absolute_error: 1.0104, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.7105, root_relative_squared_error: 1.4216, scimark_benchmark: 1072.3689, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.3501, kb_relative_information_score: -0.3697, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4996, number_of_instances: 4000, precision: 0.2652, predictive_accuracy: 0.515, prior_entropy: 0.9994, recall: 0.515, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001, scimark_benchmark: 1330.0803,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs