Task
Supervised Classification on madelon

Supervised Classification on madelon

Task 9976 Supervised Classification madelon 57199 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.592, f_measure: 0.5697, kappa: 0.1408, kb_relative_information_score: 61.111, mean_absolute_error: 0.4912, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5708, predictive_accuracy: 0.5704, prior_entropy: 1, recall: 0.5704, relative_absolute_error: 0.9825, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4944, root_relative_squared_error: 0.9888, scimark_benchmark: 1828.686, usercpu_time_millis: 589.154, usercpu_time_millis_testing: 8.107, usercpu_time_millis_training: 581.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, f_measure: 0.4505, kb_relative_information_score: -0.001, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1847.2753, usercpu_time_millis: 585.251, usercpu_time_millis_testing: 9.456, usercpu_time_millis_training: 575.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4973, f_measure: 0.3326, kappa: -0.0092, kb_relative_information_score: -0.1623, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.3113, predictive_accuracy: 0.4954, prior_entropy: 1, recall: 0.4954, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1829.1442, usercpu_time_millis: 586.654, usercpu_time_millis_testing: 9.432, usercpu_time_millis_training: 577.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5888, f_measure: 0.573, kappa: 0.1477, kb_relative_information_score: 54.1152, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5744, predictive_accuracy: 0.5738, prior_entropy: 1, recall: 0.5738, relative_absolute_error: 0.9846, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.495, root_relative_squared_error: 0.9899, scimark_benchmark: 1853.9849, usercpu_time_millis: 530.014, usercpu_time_millis_testing: 7.309, usercpu_time_millis_training: 522.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4792, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0001, scimark_benchmark: 1853.9849, usercpu_time_millis: 650.894, usercpu_time_millis_testing: 10.28, usercpu_time_millis_training: 640.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.603, f_measure: 0.579, kappa: 0.1585, kb_relative_information_score: 96.5422, mean_absolute_error: 0.4857, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5794, predictive_accuracy: 0.5792, prior_entropy: 1, recall: 0.5792, relative_absolute_error: 0.9714, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4924, root_relative_squared_error: 0.9849, scimark_benchmark: 1855.4813, usercpu_time_millis: 653.761, usercpu_time_millis_testing: 9.978, usercpu_time_millis_training: 643.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4905, f_measure: 0.4765, kappa: -0.0023, kb_relative_information_score: -0.3148, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.4986, predictive_accuracy: 0.4988, prior_entropy: 1, recall: 0.4988, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0001, scimark_benchmark: 1857.1082, usercpu_time_millis: 668.634, usercpu_time_millis_testing: 11.3, usercpu_time_millis_training: 657.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6123, f_measure: 0.5776, kappa: 0.1554, kb_relative_information_score: 141.5101, mean_absolute_error: 0.4781, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5778, predictive_accuracy: 0.5777, prior_entropy: 1, recall: 0.5777, relative_absolute_error: 0.9561, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4898, root_relative_squared_error: 0.9796, scimark_benchmark: 1834.5221, usercpu_time_millis: 542.671, usercpu_time_millis_testing: 8.816, usercpu_time_millis_training: 533.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1846.1643, usercpu_time_millis: 596.897, usercpu_time_millis_testing: 9.375, usercpu_time_millis_training: 587.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4908, f_measure: 0.4051, kappa: 0.0038, kb_relative_information_score: -0.3677, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5055, predictive_accuracy: 0.5019, prior_entropy: 1, recall: 0.5019, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0001, scimark_benchmark: 1857.5664, usercpu_time_millis: 668.498, usercpu_time_millis_testing: 10.757, usercpu_time_millis_training: 657.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4906, f_measure: 0.4048, kb_relative_information_score: -0.168, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0001, scimark_benchmark: 1855.4813, usercpu_time_millis: 669.007, usercpu_time_millis_testing: 10.74, usercpu_time_millis_training: 658.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5817, f_measure: 0.5674, kappa: 0.1362, kb_relative_information_score: 47.3757, mean_absolute_error: 0.4933, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5685, predictive_accuracy: 0.5681, prior_entropy: 1, recall: 0.5681, relative_absolute_error: 0.9865, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9916, scimark_benchmark: 1835.621, usercpu_time_millis: 596.83, usercpu_time_millis_testing: 6.477, usercpu_time_millis_training: 590.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6123, f_measure: 0.5776, kappa: 0.1554, kb_relative_information_score: 141.5101, mean_absolute_error: 0.4781, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5778, predictive_accuracy: 0.5777, prior_entropy: 1, recall: 0.5777, relative_absolute_error: 0.9561, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4898, root_relative_squared_error: 0.9796, scimark_benchmark: 1848.2722, usercpu_time_millis: 541.744, usercpu_time_millis_testing: 8.746, usercpu_time_millis_training: 532.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5964, f_measure: 0.5697, kappa: 0.14, kb_relative_information_score: 84.0884, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5702, predictive_accuracy: 0.57, prior_entropy: 1, recall: 0.57, relative_absolute_error: 0.9753, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4933, root_relative_squared_error: 0.9866, scimark_benchmark: 1844.2371, usercpu_time_millis: 629.151, usercpu_time_millis_testing: 10.381, usercpu_time_millis_training: 618.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3333, kb_relative_information_score: -0.0354, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1846.1643, usercpu_time_millis: 672.173, usercpu_time_millis_testing: 10.448, usercpu_time_millis_training: 661.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6123, f_measure: 0.5776, kappa: 0.1554, kb_relative_information_score: 141.5101, mean_absolute_error: 0.4781, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5778, predictive_accuracy: 0.5777, prior_entropy: 1, recall: 0.5777, relative_absolute_error: 0.9561, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4898, root_relative_squared_error: 0.9796, scimark_benchmark: 1852.0126, usercpu_time_millis: 641.622, usercpu_time_millis_testing: 10.297, usercpu_time_millis_training: 631.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.495, f_measure: 0.4792, kb_relative_information_score: -0.0001, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0001, scimark_benchmark: 1850.8185, usercpu_time_millis: 641.132, usercpu_time_millis_testing: 10.22, usercpu_time_millis_training: 630.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3333, kb_relative_information_score: -0.0354, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1854.4431, usercpu_time_millis: 644.811, usercpu_time_millis_testing: 10.191, usercpu_time_millis_training: 634.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4792, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0001, scimark_benchmark: 1849.8294, usercpu_time_millis: 675.93, usercpu_time_millis_testing: 10.485, usercpu_time_millis_training: 665.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4873, f_measure: 0.3991, kappa: -0.0223, kb_relative_information_score: -0.5515, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.4723, predictive_accuracy: 0.4888, prior_entropy: 1, recall: 0.4888, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002, scimark_benchmark: 1818.9423, usercpu_time_millis: 687.809, usercpu_time_millis_testing: 11.359, usercpu_time_millis_training: 676.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4792, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0001, scimark_benchmark: 1832.5979, usercpu_time_millis: 552.148, usercpu_time_millis_testing: 8.925, usercpu_time_millis_training: 543.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, f_measure: 0.4792, kb_relative_information_score: -0.0001, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0001, scimark_benchmark: 1857.5664, usercpu_time_millis: 622.774, usercpu_time_millis_testing: 10.211, usercpu_time_millis_training: 612.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4792, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0001, scimark_benchmark: 1821.3322, usercpu_time_millis: 552.855, usercpu_time_millis_testing: 8.977, usercpu_time_millis_training: 543.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6363, f_measure: 0.5952, kappa: 0.1908, kb_relative_information_score: 170.8974, mean_absolute_error: 0.4736, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5955, predictive_accuracy: 0.5954, prior_entropy: 1, recall: 0.5954, relative_absolute_error: 0.9473, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4859, root_relative_squared_error: 0.9718, scimark_benchmark: 1811.8028, usercpu_time_millis: 691.201, usercpu_time_millis_testing: 11.339, usercpu_time_millis_training: 679.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5897, f_measure: 0.5735, kappa: 0.1485, kb_relative_information_score: 54.713, mean_absolute_error: 0.4922, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5747, predictive_accuracy: 0.5742, prior_entropy: 1, recall: 0.5742, relative_absolute_error: 0.9844, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4949, root_relative_squared_error: 0.9898, scimark_benchmark: 1830.1853, usercpu_time_millis: 609.455, usercpu_time_millis_testing: 8.301, usercpu_time_millis_training: 601.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4977, f_measure: 0.4505, kb_relative_information_score: -0.0001, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1854.4431, usercpu_time_millis: 625.396, usercpu_time_millis_testing: 10.14, usercpu_time_millis_training: 615.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, f_measure: 0.4048, kb_relative_information_score: -0.1658, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002, scimark_benchmark: 1813.0755, usercpu_time_millis: 690.122, usercpu_time_millis_testing: 10.908, usercpu_time_millis_training: 679.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5648, f_measure: 0.4835, kappa: 0.0738, kb_relative_information_score: 11.3977, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.563, predictive_accuracy: 0.5369, prior_entropy: 1, recall: 0.5369, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4986, root_relative_squared_error: 0.9971, scimark_benchmark: 1820.7008, usercpu_time_millis: 692.136, usercpu_time_millis_testing: 10.62, usercpu_time_millis_training: 681.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4792, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0001, scimark_benchmark: 1808.3764, usercpu_time_millis: 694.813, usercpu_time_millis_testing: 10.774, usercpu_time_millis_training: 684.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6321, f_measure: 0.5949, kappa: 0.19, kb_relative_information_score: 168.7263, mean_absolute_error: 0.4742, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5951, predictive_accuracy: 0.595, prior_entropy: 1, recall: 0.595, relative_absolute_error: 0.9483, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4869, root_relative_squared_error: 0.9737, scimark_benchmark: 1857.6392, usercpu_time_millis: 668.724, usercpu_time_millis_testing: 10.462, usercpu_time_millis_training: 658.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4792, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0001, scimark_benchmark: 1810.1417, usercpu_time_millis: 696.356, usercpu_time_millis_testing: 10.513, usercpu_time_millis_training: 685.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1850.2758, usercpu_time_millis: 653.993, usercpu_time_millis_testing: 10.287, usercpu_time_millis_training: 643.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5849, f_measure: 0.5661, kappa: 0.1338, kb_relative_information_score: 49.1099, mean_absolute_error: 0.493, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5674, predictive_accuracy: 0.5669, prior_entropy: 1, recall: 0.5669, relative_absolute_error: 0.986, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.991, scimark_benchmark: 1835.1658, usercpu_time_millis: 593.785, usercpu_time_millis_testing: 7.175, usercpu_time_millis_training: 586.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6103, f_measure: 0.5855, kappa: 0.1715, kb_relative_information_score: 103.7214, mean_absolute_error: 0.4846, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.586, predictive_accuracy: 0.5858, prior_entropy: 1, recall: 0.5858, relative_absolute_error: 0.9692, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4909, root_relative_squared_error: 0.9819, scimark_benchmark: 1859.6666, usercpu_time_millis: 640.493, usercpu_time_millis_testing: 9.95, usercpu_time_millis_training: 630.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5648, f_measure: 0.4835, kappa: 0.0738, kb_relative_information_score: 11.3977, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.563, predictive_accuracy: 0.5369, prior_entropy: 1, recall: 0.5369, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4986, root_relative_squared_error: 0.9971, scimark_benchmark: 1856.6531, usercpu_time_millis: 641.693, usercpu_time_millis_testing: 10.04, usercpu_time_millis_training: 631.653,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6367, f_measure: 0.5956, kappa: 0.1915, kb_relative_information_score: 167.3562, mean_absolute_error: 0.4742, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5959, predictive_accuracy: 0.5958, prior_entropy: 1, recall: 0.5958, relative_absolute_error: 0.9485, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4857, root_relative_squared_error: 0.9714, scimark_benchmark: 1857.5664, usercpu_time_millis: 641.51, usercpu_time_millis_testing: 10.296, usercpu_time_millis_training: 631.214,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, f_measure: 0.4505, kb_relative_information_score: -0.0421, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1855.4813, usercpu_time_millis: 585.451, usercpu_time_millis_testing: 9.906, usercpu_time_millis_training: 575.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6364, f_measure: 0.596, kappa: 0.1923, kb_relative_information_score: 170.8523, mean_absolute_error: 0.4736, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5963, predictive_accuracy: 0.5962, prior_entropy: 1, recall: 0.5962, relative_absolute_error: 0.9472, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4856, root_relative_squared_error: 0.9713, scimark_benchmark: 1851.8567, usercpu_time_millis: 584.873, usercpu_time_millis_testing: 9.186, usercpu_time_millis_training: 575.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5425, f_measure: 0.4321, kappa: 0.0446, kb_relative_information_score: 4.33, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5611, predictive_accuracy: 0.5223, prior_entropy: 1, recall: 0.5223, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.9989, scimark_benchmark: 1854.4951, usercpu_time_millis: 586.666, usercpu_time_millis_testing: 9.264, usercpu_time_millis_training: 577.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6364, f_measure: 0.596, kappa: 0.1923, kb_relative_information_score: 170.8523, mean_absolute_error: 0.4736, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5963, predictive_accuracy: 0.5962, prior_entropy: 1, recall: 0.5962, relative_absolute_error: 0.9472, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4856, root_relative_squared_error: 0.9713, scimark_benchmark: 1853.9121, usercpu_time_millis: 586.735, usercpu_time_millis_testing: 9.169, usercpu_time_millis_training: 577.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4825, f_measure: 0.3826, kappa: -0.0362, kb_relative_information_score: -1.0957, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.4493, predictive_accuracy: 0.4819, prior_entropy: 1, recall: 0.4819, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0003, scimark_benchmark: 1852.9259, usercpu_time_millis: 638.557, usercpu_time_millis_testing: 10.621, usercpu_time_millis_training: 627.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6135, f_measure: 0.5825, kappa: 0.1654, kb_relative_information_score: 118.9703, mean_absolute_error: 0.4822, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5829, predictive_accuracy: 0.5827, prior_entropy: 1, recall: 0.5827, relative_absolute_error: 0.9644, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4905, root_relative_squared_error: 0.981, scimark_benchmark: 1849.8294, usercpu_time_millis: 676.738, usercpu_time_millis_testing: 10.567, usercpu_time_millis_training: 666.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5967, f_measure: 0.5679, kappa: 0.1369, kb_relative_information_score: 70.6966, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5688, predictive_accuracy: 0.5685, prior_entropy: 1, recall: 0.5685, relative_absolute_error: 0.9796, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9875, scimark_benchmark: 1853.454, usercpu_time_millis: 620.248, usercpu_time_millis_testing: 9.762, usercpu_time_millis_training: 610.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4792, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0001, scimark_benchmark: 1840.1194, usercpu_time_millis: 651.742, usercpu_time_millis_testing: 10.843, usercpu_time_millis_training: 640.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4894, f_measure: 0.3338, kappa: -0.0038, kb_relative_information_score: -0.4688, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.3606, predictive_accuracy: 0.4981, prior_entropy: 1, recall: 0.4981, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0001, scimark_benchmark: 1842.6679, usercpu_time_millis: 598.737, usercpu_time_millis_testing: 10.097, usercpu_time_millis_training: 588.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3333, kb_relative_information_score: -0.0354, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1851.3986, usercpu_time_millis: 639.852, usercpu_time_millis_testing: 10.495, usercpu_time_millis_training: 629.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4834, f_measure: 0.4505, kb_relative_information_score: -0.504, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002, scimark_benchmark: 1855.0232, usercpu_time_millis: 665.592, usercpu_time_millis_testing: 11.25, usercpu_time_millis_training: 654.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.495, f_measure: 0.4792, kb_relative_information_score: -0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0001, scimark_benchmark: 1843.1989, usercpu_time_millis: 599.134, usercpu_time_millis_testing: 9.81, usercpu_time_millis_training: 589.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4951, f_measure: 0.4792, kb_relative_information_score: -0.0194, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0001, scimark_benchmark: 1853.3841, usercpu_time_millis: 667.05, usercpu_time_millis_testing: 10.938, usercpu_time_millis_training: 656.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.495, f_measure: 0.4792, kb_relative_information_score: -0.0001, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0001, scimark_benchmark: 1839.0605, usercpu_time_millis: 651.541, usercpu_time_millis_testing: 9.89, usercpu_time_millis_training: 641.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4943, f_measure: 0.4792, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0001, scimark_benchmark: 1857.5664, usercpu_time_millis: 667.741, usercpu_time_millis_testing: 10.63, usercpu_time_millis_training: 657.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4792, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0001, scimark_benchmark: 1850.8706, usercpu_time_millis: 657.388, usercpu_time_millis_testing: 10.137, usercpu_time_millis_training: 647.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5838, f_measure: 0.5677, kappa: 0.1369, kb_relative_information_score: 46.431, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5689, predictive_accuracy: 0.5685, prior_entropy: 1, recall: 0.5685, relative_absolute_error: 0.9868, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4957, root_relative_squared_error: 0.9913, scimark_benchmark: 1853.3841, usercpu_time_millis: 669.636, usercpu_time_millis_testing: 8.031, usercpu_time_millis_training: 661.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6215, f_measure: 0.5857, kappa: 0.1738, kb_relative_information_score: 87.9188, mean_absolute_error: 0.4871, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.588, predictive_accuracy: 0.5869, prior_entropy: 1, recall: 0.5869, relative_absolute_error: 0.9741, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4909, root_relative_squared_error: 0.9817, scimark_benchmark: 1818.9456, usercpu_time_millis: 599.923, usercpu_time_millis_testing: 9.8, usercpu_time_millis_training: 590.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4792, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0001, scimark_benchmark: 1843.7819, usercpu_time_millis: 643.04, usercpu_time_millis_testing: 9.947, usercpu_time_millis_training: 633.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4792, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0001, scimark_benchmark: 1835.6968, usercpu_time_millis: 654.904, usercpu_time_millis_testing: 9.722, usercpu_time_millis_training: 645.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1849.8294, usercpu_time_millis: 646.378, usercpu_time_millis_testing: 10.504, usercpu_time_millis_training: 635.874,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4792, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0001, scimark_benchmark: 1848.2722, usercpu_time_millis: 671.721, usercpu_time_millis_testing: 10.501, usercpu_time_millis_training: 661.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5826, f_measure: 0.5052, kappa: 0.0962, kb_relative_information_score: 18.3435, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5735, predictive_accuracy: 0.5481, prior_entropy: 1, recall: 0.5481, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4977, root_relative_squared_error: 0.9955, scimark_benchmark: 1817.9594, usercpu_time_millis: 604.335, usercpu_time_millis_testing: 9.564, usercpu_time_millis_training: 594.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1845.3208, usercpu_time_millis: 674.746, usercpu_time_millis_testing: 10.435, usercpu_time_millis_training: 664.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4884, f_measure: 0.3333, kappa: -0.0031, kb_relative_information_score: -0.5216, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.3329, predictive_accuracy: 0.4985, prior_entropy: 1, recall: 0.4985, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0001, scimark_benchmark: 1805.2569, usercpu_time_millis: 678.32, usercpu_time_millis_testing: 12.019, usercpu_time_millis_training: 666.301,

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