Task
Supervised Classification on mfeat-morphological

Supervised Classification on mfeat-morphological

Task 1898 Supervised Classification mfeat-morphological 375 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.6888, kappa: 0.6727, kb_relative_information_score: 14607.442, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6971, predictive_accuracy: 0.7054, prior_entropy: 3.3219, recall: 0.7054, relative_absolute_error: 0.3989, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.196, root_relative_squared_error: 0.6533, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.6875, kappa: 0.6781, kb_relative_information_score: 14242.3885, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7038, predictive_accuracy: 0.7103, prior_entropy: 3.3219, recall: 0.7103, relative_absolute_error: 0.4297, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.647, scimark_benchmark: 851.2074, usercpu_time_millis: 330, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6002, f_measure: 0.2974, kappa: 0.2004, kb_relative_information_score: 4948.4124, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3827, predictive_accuracy: 0.2804, prior_entropy: 3.3219, recall: 0.2804, relative_absolute_error: 0.7996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3794, root_relative_squared_error: 1.2646, scimark_benchmark: 931.771, usercpu_time_millis: 1130, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6002, f_measure: 0.2974, kappa: 0.2004, kb_relative_information_score: 4948.4124, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3827, predictive_accuracy: 0.2804, prior_entropy: 3.3219, recall: 0.2804, relative_absolute_error: 0.7996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3794, root_relative_squared_error: 1.2646, scimark_benchmark: 941.6675, usercpu_time_millis: 1190, usercpu_time_millis_testing: 430, usercpu_time_millis_training: 760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.6885, kappa: 0.6582, kb_relative_information_score: 14835.0443, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6929, predictive_accuracy: 0.6924, prior_entropy: 3.3219, recall: 0.6924, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.6578, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.6885, kappa: 0.6582, kb_relative_information_score: 14835.0443, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6929, predictive_accuracy: 0.6924, prior_entropy: 3.3219, recall: 0.6924, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.6578, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.6885, kappa: 0.6582, kb_relative_information_score: 14835.0443, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6929, predictive_accuracy: 0.6924, prior_entropy: 3.3219, recall: 0.6924, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.6578, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.6885, kappa: 0.6582, kb_relative_information_score: 14835.0443, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6929, predictive_accuracy: 0.6924, prior_entropy: 3.3219, recall: 0.6924, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.6578, scimark_benchmark: 938.191, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.7094, kappa: 0.679, kb_relative_information_score: 15011.1374, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.71, predictive_accuracy: 0.7111, prior_entropy: 3.3219, recall: 0.7111, relative_absolute_error: 0.3769, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.6279, scimark_benchmark: 941.6675, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.6885, kappa: 0.6582, kb_relative_information_score: 14835.0443, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6929, predictive_accuracy: 0.6924, prior_entropy: 3.3219, recall: 0.6924, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.6578, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.6994, kappa: 0.6669, kb_relative_information_score: 14521.6676, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6997, predictive_accuracy: 0.7003, prior_entropy: 3.3219, recall: 0.7003, relative_absolute_error: 0.3822, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.203, root_relative_squared_error: 0.6766, scimark_benchmark: 931.771, usercpu_time_millis: 800, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6002, f_measure: 0.2974, kappa: 0.2004, kb_relative_information_score: 4948.4124, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3827, predictive_accuracy: 0.2804, prior_entropy: 3.3219, recall: 0.2804, relative_absolute_error: 0.7996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3794, root_relative_squared_error: 1.2646, scimark_benchmark: 941.3847, usercpu_time_millis: 1020, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.6735, kappa: 0.6506, kb_relative_information_score: 14562.9856, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6795, predictive_accuracy: 0.6855, prior_entropy: 3.3219, recall: 0.6855, relative_absolute_error: 0.3647, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.6948, scimark_benchmark: 974.2014, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.6885, kappa: 0.6582, kb_relative_information_score: 14835.0443, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6929, predictive_accuracy: 0.6924, prior_entropy: 3.3219, recall: 0.6924, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.6578, scimark_benchmark: 974.2014, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.6928, kappa: 0.669, kb_relative_information_score: 14300.9617, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6973, predictive_accuracy: 0.7021, prior_entropy: 3.3219, recall: 0.7021, relative_absolute_error: 0.4028, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2, root_relative_squared_error: 0.6666, scimark_benchmark: 947.1781, usercpu_time_millis: 800, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.6994, kappa: 0.6669, kb_relative_information_score: 14521.6676, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6997, predictive_accuracy: 0.7003, prior_entropy: 3.3219, recall: 0.7003, relative_absolute_error: 0.3822, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.203, root_relative_squared_error: 0.6766, scimark_benchmark: 943.1009, usercpu_time_millis: 870, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.6888, kappa: 0.6727, kb_relative_information_score: 14607.442, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6971, predictive_accuracy: 0.7054, prior_entropy: 3.3219, recall: 0.7054, relative_absolute_error: 0.3989, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.196, root_relative_squared_error: 0.6533, scimark_benchmark: 819.5729, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.6885, kappa: 0.6582, kb_relative_information_score: 14835.0443, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6929, predictive_accuracy: 0.6924, prior_entropy: 3.3219, recall: 0.6924, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.6578, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.6885, kappa: 0.6582, kb_relative_information_score: 14835.0443, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6929, predictive_accuracy: 0.6924, prior_entropy: 3.3219, recall: 0.6924, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.6578, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.6885, kappa: 0.6582, kb_relative_information_score: 14835.0443, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6929, predictive_accuracy: 0.6924, prior_entropy: 3.3219, recall: 0.6924, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.6578, scimark_benchmark: 933.3455, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.7094, kappa: 0.679, kb_relative_information_score: 15011.1374, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.71, predictive_accuracy: 0.7111, prior_entropy: 3.3219, recall: 0.7111, relative_absolute_error: 0.3769, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.6279, scimark_benchmark: 933.3455, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.6885, kappa: 0.6582, kb_relative_information_score: 14835.0443, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6929, predictive_accuracy: 0.6924, prior_entropy: 3.3219, recall: 0.6924, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.6578, scimark_benchmark: 944.0133, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.6928, kappa: 0.669, kb_relative_information_score: 14300.9617, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6973, predictive_accuracy: 0.7021, prior_entropy: 3.3219, recall: 0.7021, relative_absolute_error: 0.4028, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2, root_relative_squared_error: 0.6666, scimark_benchmark: 730.6551, usercpu_time_millis: 1600, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 1440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.6994, kappa: 0.6669, kb_relative_information_score: 14521.6676, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6997, predictive_accuracy: 0.7003, prior_entropy: 3.3219, recall: 0.7003, relative_absolute_error: 0.3822, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.203, root_relative_squared_error: 0.6766, scimark_benchmark: 1051.249, usercpu_time_millis: 960, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.7272, kappa: 0.7188, kb_relative_information_score: 15400.0257, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7388, predictive_accuracy: 0.747, prior_entropy: 3.3219, recall: 0.747, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.596, scimark_benchmark: 851.2074, usercpu_time_millis: 13370, usercpu_time_millis_testing: 4200, usercpu_time_millis_training: 9170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.7248, kappa: 0.7176, kb_relative_information_score: 15398.1842, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7363, predictive_accuracy: 0.7459, prior_entropy: 3.3219, recall: 0.7459, relative_absolute_error: 0.3566, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.5963, scimark_benchmark: 859.5223, usercpu_time_millis: 4150, usercpu_time_millis_testing: 640, usercpu_time_millis_training: 3510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.7231, kappa: 0.7161, kb_relative_information_score: 15393.0683, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7335, predictive_accuracy: 0.7445, prior_entropy: 3.3219, recall: 0.7445, relative_absolute_error: 0.3566, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.5973, scimark_benchmark: 944.235, usercpu_time_millis: 2060, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 1730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.7201, kappa: 0.7141, kb_relative_information_score: 15378.6092, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7308, predictive_accuracy: 0.7427, prior_entropy: 3.3219, recall: 0.7427, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.5996, scimark_benchmark: 899.0468, usercpu_time_millis: 1010, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.7153, kappa: 0.7093, kb_relative_information_score: 15357.8746, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7246, predictive_accuracy: 0.7384, prior_entropy: 3.3219, recall: 0.7384, relative_absolute_error: 0.3566, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.6038, scimark_benchmark: 929.0296, usercpu_time_millis: 570, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.5562, kappa: 0.5091, kb_relative_information_score: 9276.9897, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.5647, predictive_accuracy: 0.5582, prior_entropy: 3.3219, recall: 0.5582, relative_absolute_error: 0.7321, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2431, root_relative_squared_error: 0.8104, scimark_benchmark: 929.0296, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.0801, kappa: 0.1106, kb_relative_information_score: 5721.4405, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.0577, predictive_accuracy: 0.1995, prior_entropy: 3.3219, recall: 0.1995, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.9446, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.0801, kappa: 0.1106, kb_relative_information_score: 5721.4405, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.0577, predictive_accuracy: 0.1995, prior_entropy: 3.3219, recall: 0.1995, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.9446, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.0801, kappa: 0.1106, kb_relative_information_score: 5721.4405, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.0577, predictive_accuracy: 0.1995, prior_entropy: 3.3219, recall: 0.1995, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.9446, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.0801, kappa: 0.1106, kb_relative_information_score: 5721.4405, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.0577, predictive_accuracy: 0.1995, prior_entropy: 3.3219, recall: 0.1995, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.9446, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.0801, kappa: 0.1106, kb_relative_information_score: 5721.4405, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.0577, predictive_accuracy: 0.1995, prior_entropy: 3.3219, recall: 0.1995, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.9446, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.7344, kappa: 0.7104, kb_relative_information_score: 14621.3962, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7388, predictive_accuracy: 0.7394, prior_entropy: 3.3219, recall: 0.7394, relative_absolute_error: 0.4166, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.6217, scimark_benchmark: 926.5859, usercpu_time_millis: 620, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 370,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.6885, kappa: 0.6582, kb_relative_information_score: 14835.0443, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6929, predictive_accuracy: 0.6924, prior_entropy: 3.3219, recall: 0.6924, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.6578, scimark_benchmark: 1326.2019, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.6928, kappa: 0.669, kb_relative_information_score: 14300.9617, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6973, predictive_accuracy: 0.7021, prior_entropy: 3.3219, recall: 0.7021, relative_absolute_error: 0.4028, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2, root_relative_squared_error: 0.6666, scimark_benchmark: 1350.8432, usercpu_time_millis: 1130, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.6888, kappa: 0.6727, kb_relative_information_score: 14607.442, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6971, predictive_accuracy: 0.7054, prior_entropy: 3.3219, recall: 0.7054, relative_absolute_error: 0.3989, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.196, root_relative_squared_error: 0.6533, scimark_benchmark: 1310.3168, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.6875, kappa: 0.6781, kb_relative_information_score: 14242.3885, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7038, predictive_accuracy: 0.7103, prior_entropy: 3.3219, recall: 0.7103, relative_absolute_error: 0.4297, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.647, scimark_benchmark: 1331.0047, usercpu_time_millis: 360, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.6885, kappa: 0.6582, kb_relative_information_score: 14835.0443, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6929, predictive_accuracy: 0.6924, prior_entropy: 3.3219, recall: 0.6924, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.6578, scimark_benchmark: 1342.9012, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.6928, kappa: 0.669, kb_relative_information_score: 14300.9617, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6973, predictive_accuracy: 0.7021, prior_entropy: 3.3219, recall: 0.7021, relative_absolute_error: 0.4028, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2, root_relative_squared_error: 0.6666, scimark_benchmark: 1319.952, usercpu_time_millis: 1080, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.6994, kappa: 0.6669, kb_relative_information_score: 14521.6676, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6997, predictive_accuracy: 0.7003, prior_entropy: 3.3219, recall: 0.7003, relative_absolute_error: 0.3822, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.203, root_relative_squared_error: 0.6766, scimark_benchmark: 1322.0065, usercpu_time_millis: 870, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6002, f_measure: 0.2974, kappa: 0.2004, kb_relative_information_score: 4948.4124, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3827, predictive_accuracy: 0.2804, prior_entropy: 3.3219, recall: 0.2804, relative_absolute_error: 0.7996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3794, root_relative_squared_error: 1.2646, scimark_benchmark: 1322.7257, usercpu_time_millis: 3780, usercpu_time_millis_testing: 1320, usercpu_time_millis_training: 2460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.6885, kappa: 0.6582, kb_relative_information_score: 14835.0443, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6929, predictive_accuracy: 0.6924, prior_entropy: 3.3219, recall: 0.6924, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.6578, scimark_benchmark: 1347.1763, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.6885, kappa: 0.6582, kb_relative_information_score: 14835.0443, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6929, predictive_accuracy: 0.6924, prior_entropy: 3.3219, recall: 0.6924, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.6578, scimark_benchmark: 1344.0499, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.6888, kappa: 0.6727, kb_relative_information_score: 14607.442, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6971, predictive_accuracy: 0.7054, prior_entropy: 3.3219, recall: 0.7054, relative_absolute_error: 0.3989, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.196, root_relative_squared_error: 0.6533, scimark_benchmark: 1329.8008, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6002, f_measure: 0.2974, kappa: 0.2004, kb_relative_information_score: 4948.4124, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3827, predictive_accuracy: 0.2804, prior_entropy: 3.3219, recall: 0.2804, relative_absolute_error: 0.7996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3794, root_relative_squared_error: 1.2646, scimark_benchmark: 1329.8008, usercpu_time_millis: 3890, usercpu_time_millis_testing: 1410, usercpu_time_millis_training: 2480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.6885, kappa: 0.6582, kb_relative_information_score: 14835.0443, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6929, predictive_accuracy: 0.6924, prior_entropy: 3.3219, recall: 0.6924, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.6578, scimark_benchmark: 1260.1387, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.6994, kappa: 0.6669, kb_relative_information_score: 14521.6676, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6997, predictive_accuracy: 0.7003, prior_entropy: 3.3219, recall: 0.7003, relative_absolute_error: 0.3822, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.203, root_relative_squared_error: 0.6766, scimark_benchmark: 1326.8946, usercpu_time_millis: 770, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.6888, kappa: 0.6727, kb_relative_information_score: 14607.442, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6971, predictive_accuracy: 0.7054, prior_entropy: 3.3219, recall: 0.7054, relative_absolute_error: 0.3989, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.196, root_relative_squared_error: 0.6533, scimark_benchmark: 1341.5795, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.6735, kappa: 0.6506, kb_relative_information_score: 14562.9856, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6795, predictive_accuracy: 0.6855, prior_entropy: 3.3219, recall: 0.6855, relative_absolute_error: 0.3647, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.6948, scimark_benchmark: 918.0213, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.6928, kappa: 0.669, kb_relative_information_score: 14300.9617, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6973, predictive_accuracy: 0.7021, prior_entropy: 3.3219, recall: 0.7021, relative_absolute_error: 0.4028, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2, root_relative_squared_error: 0.6666, scimark_benchmark: 935.5075, usercpu_time_millis: 840, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.6643, kappa: 0.6676, kb_relative_information_score: 7409.4522, mean_absolute_error: 0.1518, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6984, predictive_accuracy: 0.7008, prior_entropy: 3.3219, recall: 0.7008, relative_absolute_error: 0.8436, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.269, root_relative_squared_error: 0.8968, scimark_benchmark: 926.6704, usercpu_time_millis: 12810, usercpu_time_millis_testing: 12810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.6885, kappa: 0.6582, kb_relative_information_score: 14835.0443, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6929, predictive_accuracy: 0.6924, prior_entropy: 3.3219, recall: 0.6924, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.6578, scimark_benchmark: 933.1165, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.6735, kappa: 0.6506, kb_relative_information_score: 14562.9856, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6795, predictive_accuracy: 0.6855, prior_entropy: 3.3219, recall: 0.6855, relative_absolute_error: 0.3647, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.6948, scimark_benchmark: 1350.073, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.6885, kappa: 0.6582, kb_relative_information_score: 14835.0443, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6929, predictive_accuracy: 0.6924, prior_entropy: 3.3219, recall: 0.6924, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.6578, scimark_benchmark: 1343.4596, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.6888, kappa: 0.6727, kb_relative_information_score: 14607.442, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6971, predictive_accuracy: 0.7054, prior_entropy: 3.3219, recall: 0.7054, relative_absolute_error: 0.3989, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.196, root_relative_squared_error: 0.6533, scimark_benchmark: 1345.7204, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, f_measure: 0.7376, kappa: 0.7094, kb_relative_information_score: 15343.4808, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7385, predictive_accuracy: 0.7385, prior_entropy: 3.3219, recall: 0.7385, relative_absolute_error: 0.3412, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.6228, scimark_benchmark: 1346.3935, usercpu_time_millis: 860, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.6952, kappa: 0.6651, kb_relative_information_score: 14911.6316, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6987, predictive_accuracy: 0.6986, prior_entropy: 3.3219, recall: 0.6986, relative_absolute_error: 0.3734, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.6471, scimark_benchmark: 944.0517, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.6932, kappa: 0.6714, kb_relative_information_score: 13991.6611, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6987, predictive_accuracy: 0.7043, prior_entropy: 3.3219, recall: 0.7043, relative_absolute_error: 0.4805, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.6436, scimark_benchmark: 1345.7582, usercpu_time_millis: 610, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.6924, kappa: 0.6715, kb_relative_information_score: 14008.9207, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6977, predictive_accuracy: 0.7044, prior_entropy: 3.3219, recall: 0.7044, relative_absolute_error: 0.4798, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.6429, scimark_benchmark: 1086.8793, usercpu_time_millis: 1130, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.7052, kappa: 0.6916, kb_relative_information_score: 14875.9276, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7172, predictive_accuracy: 0.7225, prior_entropy: 3.3219, recall: 0.7225, relative_absolute_error: 0.357, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.6637, scimark_benchmark: 916.5769, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs