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Supervised Classification on tecator

Supervised Classification on tecator

Task 4421 Supervised Classification tecator 208 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.8947, kappa: 0.7847, kb_relative_information_score: 1817.5188, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.8948, predictive_accuracy: 0.8946, prior_entropy: 0.984, recall: 0.8946, relative_absolute_error: 0.2493, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.303, root_relative_squared_error: 0.6129, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9164, kappa: 0.8292, kb_relative_information_score: 1783.3426, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9167, predictive_accuracy: 0.9163, prior_entropy: 0.984, recall: 0.9163, relative_absolute_error: 0.2761, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2518, root_relative_squared_error: 0.5093, scimark_benchmark: 972.587, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.9084, kappa: 0.8128, kb_relative_information_score: 1831.6992, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9086, predictive_accuracy: 0.9083, prior_entropy: 0.984, recall: 0.9083, relative_absolute_error: 0.2481, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2666, root_relative_squared_error: 0.5392, scimark_benchmark: 934.3687, usercpu_time_millis: 330, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.9176, kappa: 0.8315, kb_relative_information_score: 1990.4015, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9177, predictive_accuracy: 0.9175, prior_entropy: 0.984, recall: 0.9175, relative_absolute_error: 0.1688, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2872, root_relative_squared_error: 0.581, scimark_benchmark: 931.771, usercpu_time_millis: 290, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.9176, kappa: 0.8315, kb_relative_information_score: 1990.4015, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9177, predictive_accuracy: 0.9175, prior_entropy: 0.984, recall: 0.9175, relative_absolute_error: 0.1688, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2872, root_relative_squared_error: 0.581, scimark_benchmark: 944.1067, usercpu_time_millis: 140, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.8965, kappa: 0.7879, kb_relative_information_score: 1865.2808, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.8965, predictive_accuracy: 0.8967, prior_entropy: 0.984, recall: 0.8967, relative_absolute_error: 0.2232, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5882, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.9025, kappa: 0.8004, kb_relative_information_score: 1721.9271, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9025, predictive_accuracy: 0.9025, prior_entropy: 0.984, recall: 0.9025, relative_absolute_error: 0.3008, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2632, root_relative_squared_error: 0.5324, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8895, kappa: 0.7738, kb_relative_information_score: 1787.5652, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.8895, predictive_accuracy: 0.8896, prior_entropy: 0.984, recall: 0.8896, relative_absolute_error: 0.2613, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3109, root_relative_squared_error: 0.6289, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.9176, kappa: 0.8315, kb_relative_information_score: 1990.4015, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9177, predictive_accuracy: 0.9175, prior_entropy: 0.984, recall: 0.9175, relative_absolute_error: 0.1688, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2872, root_relative_squared_error: 0.581, scimark_benchmark: 937.5117, usercpu_time_millis: 140, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.9176, kappa: 0.8315, kb_relative_information_score: 1990.4015, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9177, predictive_accuracy: 0.9175, prior_entropy: 0.984, recall: 0.9175, relative_absolute_error: 0.1688, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2872, root_relative_squared_error: 0.581, scimark_benchmark: 974.2014, usercpu_time_millis: 230, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.8965, kappa: 0.7879, kb_relative_information_score: 1865.2808, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.8965, predictive_accuracy: 0.8967, prior_entropy: 0.984, recall: 0.8967, relative_absolute_error: 0.2232, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5882, scimark_benchmark: 974.2014, usercpu_time_millis: 80, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.8965, kappa: 0.7879, kb_relative_information_score: 1865.2808, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.8965, predictive_accuracy: 0.8967, prior_entropy: 0.984, recall: 0.8967, relative_absolute_error: 0.2232, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5882, scimark_benchmark: 974.2014, usercpu_time_millis: 80, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9037, kappa: 0.8028, kb_relative_information_score: 1506.9641, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9037, predictive_accuracy: 0.9038, prior_entropy: 0.984, recall: 0.9038, relative_absolute_error: 0.4114, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.5549, scimark_benchmark: 974.2014, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.8947, kappa: 0.7847, kb_relative_information_score: 1817.5188, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.8948, predictive_accuracy: 0.8946, prior_entropy: 0.984, recall: 0.8946, relative_absolute_error: 0.2493, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.303, root_relative_squared_error: 0.6129, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9164, kappa: 0.8292, kb_relative_information_score: 1783.3426, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9167, predictive_accuracy: 0.9163, prior_entropy: 0.984, recall: 0.9163, relative_absolute_error: 0.2761, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2518, root_relative_squared_error: 0.5093, scimark_benchmark: 908.9569, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.9084, kappa: 0.8128, kb_relative_information_score: 1831.6992, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9086, predictive_accuracy: 0.9083, prior_entropy: 0.984, recall: 0.9083, relative_absolute_error: 0.2481, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2666, root_relative_squared_error: 0.5392, scimark_benchmark: 936.2574, usercpu_time_millis: 300, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.9176, kappa: 0.8315, kb_relative_information_score: 1990.4015, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9177, predictive_accuracy: 0.9175, prior_entropy: 0.984, recall: 0.9175, relative_absolute_error: 0.1688, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2872, root_relative_squared_error: 0.581, scimark_benchmark: 926.5462, usercpu_time_millis: 130, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.6359, kappa: 0.2896, kb_relative_information_score: 596.3072, mean_absolute_error: 0.3637, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.6672, predictive_accuracy: 0.6363, prior_entropy: 0.984, recall: 0.6363, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.6011, root_relative_squared_error: 1.216, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.8965, kappa: 0.7879, kb_relative_information_score: 1865.2808, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.8965, predictive_accuracy: 0.8967, prior_entropy: 0.984, recall: 0.8967, relative_absolute_error: 0.2232, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5882, scimark_benchmark: 930.404, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.8965, kappa: 0.7879, kb_relative_information_score: 1865.2808, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.8965, predictive_accuracy: 0.8967, prior_entropy: 0.984, recall: 0.8967, relative_absolute_error: 0.2232, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5882, scimark_benchmark: 903.2737, usercpu_time_millis: 70, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.8965, kappa: 0.7879, kb_relative_information_score: 1865.2808, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.8965, predictive_accuracy: 0.8967, prior_entropy: 0.984, recall: 0.8967, relative_absolute_error: 0.2232, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5882, scimark_benchmark: 933.3455, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.9025, kappa: 0.8004, kb_relative_information_score: 1721.9271, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9025, predictive_accuracy: 0.9025, prior_entropy: 0.984, recall: 0.9025, relative_absolute_error: 0.3008, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2632, root_relative_squared_error: 0.5324, scimark_benchmark: 903.2737, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9346, kappa: 0.8657, kb_relative_information_score: 1907.5654, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9363, predictive_accuracy: 0.935, prior_entropy: 0.984, recall: 0.935, relative_absolute_error: 0.2248, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4274, scimark_benchmark: 938.4601, usercpu_time_millis: 2340, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 2260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.8965, kappa: 0.7879, kb_relative_information_score: 1865.2808, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.8965, predictive_accuracy: 0.8967, prior_entropy: 0.984, recall: 0.8967, relative_absolute_error: 0.2232, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5882, scimark_benchmark: 945.6228, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8895, kappa: 0.7738, kb_relative_information_score: 1787.5652, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.8895, predictive_accuracy: 0.8896, prior_entropy: 0.984, recall: 0.8896, relative_absolute_error: 0.2613, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3109, root_relative_squared_error: 0.6289, scimark_benchmark: 945.6228, usercpu_time_millis: 4770, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9037, kappa: 0.8028, kb_relative_information_score: 1506.9641, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9037, predictive_accuracy: 0.9038, prior_entropy: 0.984, recall: 0.9038, relative_absolute_error: 0.4114, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.5549, scimark_benchmark: 936.9595, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9289, kappa: 0.8543, kb_relative_information_score: 1930.6057, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9294, predictive_accuracy: 0.9292, prior_entropy: 0.984, recall: 0.9292, relative_absolute_error: 0.2088, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.4395, scimark_benchmark: 901.4991, usercpu_time_millis: 15980, usercpu_time_millis_testing: 7000, usercpu_time_millis_training: 8980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9306, kappa: 0.8577, kb_relative_information_score: 1937.1363, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.931, predictive_accuracy: 0.9308, prior_entropy: 0.984, recall: 0.9308, relative_absolute_error: 0.2061, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.4347, scimark_benchmark: 933.3455, usercpu_time_millis: 7680, usercpu_time_millis_testing: 3410, usercpu_time_millis_training: 4270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9294, kappa: 0.8552, kb_relative_information_score: 1936.6824, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9297, predictive_accuracy: 0.9296, prior_entropy: 0.984, recall: 0.9296, relative_absolute_error: 0.2057, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.4398, scimark_benchmark: 905.3417, usercpu_time_millis: 3880, usercpu_time_millis_testing: 1740, usercpu_time_millis_training: 2140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9298, kappa: 0.8561, kb_relative_information_score: 1936.2205, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9301, predictive_accuracy: 0.93, prior_entropy: 0.984, recall: 0.93, relative_absolute_error: 0.2051, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.4434, scimark_benchmark: 906.8974, usercpu_time_millis: 2130, usercpu_time_millis_testing: 890, usercpu_time_millis_training: 1240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9303, kappa: 0.8571, kb_relative_information_score: 1932.7512, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9304, predictive_accuracy: 0.9304, prior_entropy: 0.984, recall: 0.9304, relative_absolute_error: 0.2055, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.4522, scimark_benchmark: 930.0025, usercpu_time_millis: 790, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.9049, kappa: 0.8052, kb_relative_information_score: 1893.8019, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9049, predictive_accuracy: 0.905, prior_entropy: 0.984, recall: 0.905, relative_absolute_error: 0.2139, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2573, root_relative_squared_error: 0.5205, scimark_benchmark: 936.1714, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.9049, kappa: 0.8052, kb_relative_information_score: 1893.8019, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9049, predictive_accuracy: 0.905, prior_entropy: 0.984, recall: 0.905, relative_absolute_error: 0.2139, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2573, root_relative_squared_error: 0.5205, scimark_benchmark: 889.4922, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.9049, kappa: 0.8052, kb_relative_information_score: 1893.8019, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9049, predictive_accuracy: 0.905, prior_entropy: 0.984, recall: 0.905, relative_absolute_error: 0.2139, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2573, root_relative_squared_error: 0.5205, scimark_benchmark: 894.7131, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.9049, kappa: 0.8052, kb_relative_information_score: 1892.386, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9049, predictive_accuracy: 0.905, prior_entropy: 0.984, recall: 0.905, relative_absolute_error: 0.2146, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2577, root_relative_squared_error: 0.5213, scimark_benchmark: 936.1714, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.9044, kappa: 0.8039, kb_relative_information_score: 1860.1402, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9045, predictive_accuracy: 0.9046, prior_entropy: 0.984, recall: 0.9046, relative_absolute_error: 0.2296, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.5323, scimark_benchmark: 929.0296, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4864, f_measure: 0.4198, kb_relative_information_score: -0.7192, mean_absolute_error: 0.4889, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.3306, predictive_accuracy: 0.575, prior_entropy: 0.984, recall: 0.575, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4944, root_relative_squared_error: 1.0001, scimark_benchmark: 941.9549,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.8817, kappa: 0.7593, kb_relative_information_score: 1801.7114, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.8839, predictive_accuracy: 0.8813, prior_entropy: 0.984, recall: 0.8813, relative_absolute_error: 0.2472, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3223, root_relative_squared_error: 0.652, scimark_benchmark: 935.6052, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9205, kappa: 0.8375, kb_relative_information_score: 1766.8063, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9207, predictive_accuracy: 0.9204, prior_entropy: 0.984, recall: 0.9204, relative_absolute_error: 0.2877, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2419, root_relative_squared_error: 0.4894, scimark_benchmark: 938.3115, usercpu_time_millis: 1340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1330,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.9084, kappa: 0.8128, kb_relative_information_score: 1831.6992, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9086, predictive_accuracy: 0.9083, prior_entropy: 0.984, recall: 0.9083, relative_absolute_error: 0.2481, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2666, root_relative_squared_error: 0.5392, scimark_benchmark: 845.538, usercpu_time_millis: 300, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.9176, kappa: 0.8315, kb_relative_information_score: 1990.4015, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9177, predictive_accuracy: 0.9175, prior_entropy: 0.984, recall: 0.9175, relative_absolute_error: 0.1688, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2872, root_relative_squared_error: 0.581, scimark_benchmark: 939.3886, usercpu_time_millis: 130, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 70,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.8965, kappa: 0.7879, kb_relative_information_score: 1865.2808, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.8965, predictive_accuracy: 0.8967, prior_entropy: 0.984, recall: 0.8967, relative_absolute_error: 0.2232, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5882, scimark_benchmark: 922.5036, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.8965, kappa: 0.7879, kb_relative_information_score: 1865.2808, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.8965, predictive_accuracy: 0.8967, prior_entropy: 0.984, recall: 0.8967, relative_absolute_error: 0.2232, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5882, scimark_benchmark: 1362.9924, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.8965, kappa: 0.7879, kb_relative_information_score: 1865.2808, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.8965, predictive_accuracy: 0.8967, prior_entropy: 0.984, recall: 0.8967, relative_absolute_error: 0.2232, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5882, scimark_benchmark: 1349.1517, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9164, kappa: 0.8292, kb_relative_information_score: 1783.3426, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9167, predictive_accuracy: 0.9163, prior_entropy: 0.984, recall: 0.9163, relative_absolute_error: 0.2761, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2518, root_relative_squared_error: 0.5093, scimark_benchmark: 1339.6197, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.6359, kappa: 0.2896, kb_relative_information_score: 596.3072, mean_absolute_error: 0.3637, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.6672, predictive_accuracy: 0.6363, prior_entropy: 0.984, recall: 0.6363, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.6011, root_relative_squared_error: 1.216, scimark_benchmark: 1340.9749, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.8965, kappa: 0.7879, kb_relative_information_score: 1865.2808, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.8965, predictive_accuracy: 0.8967, prior_entropy: 0.984, recall: 0.8967, relative_absolute_error: 0.2232, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5882, scimark_benchmark: 1338.5214, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.8965, kappa: 0.7879, kb_relative_information_score: 1865.2808, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.8965, predictive_accuracy: 0.8967, prior_entropy: 0.984, recall: 0.8967, relative_absolute_error: 0.2232, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5882, scimark_benchmark: 1324.6442, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.8965, kappa: 0.7879, kb_relative_information_score: 1865.2808, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.8965, predictive_accuracy: 0.8967, prior_entropy: 0.984, recall: 0.8967, relative_absolute_error: 0.2232, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5882, scimark_benchmark: 1309.0674, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.8965, kappa: 0.7879, kb_relative_information_score: 1865.2808, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.8965, predictive_accuracy: 0.8967, prior_entropy: 0.984, recall: 0.8967, relative_absolute_error: 0.2232, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5882, scimark_benchmark: 1306.9281, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.6359, kappa: 0.2896, kb_relative_information_score: 596.3072, mean_absolute_error: 0.3637, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.6672, predictive_accuracy: 0.6363, prior_entropy: 0.984, recall: 0.6363, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.6011, root_relative_squared_error: 1.216, scimark_benchmark: 1310.6554, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.8965, kappa: 0.7879, kb_relative_information_score: 1865.2808, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.8965, predictive_accuracy: 0.8967, prior_entropy: 0.984, recall: 0.8967, relative_absolute_error: 0.2232, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5882, scimark_benchmark: 1313.11, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.8965, kappa: 0.7879, kb_relative_information_score: 1865.2808, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.8965, predictive_accuracy: 0.8967, prior_entropy: 0.984, recall: 0.8967, relative_absolute_error: 0.2232, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5882, scimark_benchmark: 1347.1763, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9346, kappa: 0.8657, kb_relative_information_score: 1907.572, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9363, predictive_accuracy: 0.935, prior_entropy: 0.984, recall: 0.935, relative_absolute_error: 0.2248, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4274, scimark_benchmark: 1332.7986, usercpu_time_millis: 1160, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.8965, kappa: 0.7879, kb_relative_information_score: 1865.2808, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.8965, predictive_accuracy: 0.8967, prior_entropy: 0.984, recall: 0.8967, relative_absolute_error: 0.2232, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5882, scimark_benchmark: 1331.4379, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9164, kappa: 0.8292, kb_relative_information_score: 1783.3426, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9167, predictive_accuracy: 0.9163, prior_entropy: 0.984, recall: 0.9163, relative_absolute_error: 0.2761, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2518, root_relative_squared_error: 0.5093, scimark_benchmark: 1350.7721, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.6359, kappa: 0.2896, kb_relative_information_score: 596.3072, mean_absolute_error: 0.3637, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.6672, predictive_accuracy: 0.6363, prior_entropy: 0.984, recall: 0.6363, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.6011, root_relative_squared_error: 1.216, scimark_benchmark: 1325.8468, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.8965, kappa: 0.7879, kb_relative_information_score: 1865.2808, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.8965, predictive_accuracy: 0.8967, prior_entropy: 0.984, recall: 0.8967, relative_absolute_error: 0.2232, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5882, scimark_benchmark: 1337.3324, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.8965, kappa: 0.7879, kb_relative_information_score: 1865.2808, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.8965, predictive_accuracy: 0.8967, prior_entropy: 0.984, recall: 0.8967, relative_absolute_error: 0.2232, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5882, scimark_benchmark: 1333.0982, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.9025, kappa: 0.8004, kb_relative_information_score: 1721.9271, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9025, predictive_accuracy: 0.9025, prior_entropy: 0.984, recall: 0.9025, relative_absolute_error: 0.3008, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2632, root_relative_squared_error: 0.5324, scimark_benchmark: 1337.3324, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8895, kappa: 0.7738, kb_relative_information_score: 1787.5652, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.8895, predictive_accuracy: 0.8896, prior_entropy: 0.984, recall: 0.8896, relative_absolute_error: 0.2613, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3109, root_relative_squared_error: 0.6289, scimark_benchmark: 1358.6198, usercpu_time_millis: 4990, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9037, kappa: 0.8028, kb_relative_information_score: 1506.9641, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9037, predictive_accuracy: 0.9038, prior_entropy: 0.984, recall: 0.9038, relative_absolute_error: 0.4114, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.5549, scimark_benchmark: 1310.6554, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.8947, kappa: 0.7847, kb_relative_information_score: 1817.5188, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.8948, predictive_accuracy: 0.8946, prior_entropy: 0.984, recall: 0.8946, relative_absolute_error: 0.2493, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.303, root_relative_squared_error: 0.6129, scimark_benchmark: 1393.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9164, kappa: 0.8292, kb_relative_information_score: 1783.3426, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9167, predictive_accuracy: 0.9163, prior_entropy: 0.984, recall: 0.9163, relative_absolute_error: 0.2761, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2518, root_relative_squared_error: 0.5093, scimark_benchmark: 1339.8573, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.9084, kappa: 0.8128, kb_relative_information_score: 1831.6992, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9086, predictive_accuracy: 0.9083, prior_entropy: 0.984, recall: 0.9083, relative_absolute_error: 0.2481, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2666, root_relative_squared_error: 0.5392, scimark_benchmark: 1346.0226, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.9176, kappa: 0.8315, kb_relative_information_score: 1990.4015, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9177, predictive_accuracy: 0.9175, prior_entropy: 0.984, recall: 0.9175, relative_absolute_error: 0.1688, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2872, root_relative_squared_error: 0.581, scimark_benchmark: 1310.3168, usercpu_time_millis: 160, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.9176, kappa: 0.8315, kb_relative_information_score: 1990.4015, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9177, predictive_accuracy: 0.9175, prior_entropy: 0.984, recall: 0.9175, relative_absolute_error: 0.1688, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2872, root_relative_squared_error: 0.581, scimark_benchmark: 1342.2332, usercpu_time_millis: 160, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.9176, kappa: 0.8315, kb_relative_information_score: 1990.4015, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.9177, predictive_accuracy: 0.9175, prior_entropy: 0.984, recall: 0.9175, relative_absolute_error: 0.1688, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2872, root_relative_squared_error: 0.581, scimark_benchmark: 1327.6635, usercpu_time_millis: 160, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.8965, kappa: 0.7879, kb_relative_information_score: 1865.2808, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.4888, number_of_instances: 2400, precision: 0.8965, predictive_accuracy: 0.8967, prior_entropy: 0.984, recall: 0.8967, relative_absolute_error: 0.2232, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5882, scimark_benchmark: 1325.8927, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,

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