Task
Supervised Classification on SPECTF

Supervised Classification on SPECTF

Task 4201 Supervised Classification SPECTF 205 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.8186, kappa: 0.5494, kb_relative_information_score: 1548.7663, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.8224, predictive_accuracy: 0.816, prior_entropy: 0.8464, recall: 0.816, relative_absolute_error: 0.5282, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3817, root_relative_squared_error: 0.8576, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.8352, kappa: 0.5871, kb_relative_information_score: 1368.5969, mean_absolute_error: 0.2404, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.8366, predictive_accuracy: 0.8341, prior_entropy: 0.8464, recall: 0.8341, relative_absolute_error: 0.6059, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3359, root_relative_squared_error: 0.7546, scimark_benchmark: 972.587, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.8232, kappa: 0.5497, kb_relative_information_score: 1492.8794, mean_absolute_error: 0.2241, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.822, predictive_accuracy: 0.8249, prior_entropy: 0.8464, recall: 0.8249, relative_absolute_error: 0.5647, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3419, root_relative_squared_error: 0.7681, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.9316, kappa: 0.8217, kb_relative_information_score: 2854.4861, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.9401, predictive_accuracy: 0.9347, prior_entropy: 0.8464, recall: 0.9347, relative_absolute_error: 0.1646, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2556, root_relative_squared_error: 0.5742, scimark_benchmark: 904.6764, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.9316, kappa: 0.8217, kb_relative_information_score: 2854.4861, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.9401, predictive_accuracy: 0.9347, prior_entropy: 0.8464, recall: 0.9347, relative_absolute_error: 0.1646, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2556, root_relative_squared_error: 0.5742, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.8211, kappa: 0.5802, kb_relative_information_score: 1649.7267, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.8478, predictive_accuracy: 0.8132, prior_entropy: 0.8464, recall: 0.8132, relative_absolute_error: 0.4819, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.8779, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.8211, kappa: 0.5802, kb_relative_information_score: 1649.7267, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.8478, predictive_accuracy: 0.8132, prior_entropy: 0.8464, recall: 0.8132, relative_absolute_error: 0.4819, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.8779, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.8211, kappa: 0.5802, kb_relative_information_score: 1649.7267, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.8478, predictive_accuracy: 0.8132, prior_entropy: 0.8464, recall: 0.8132, relative_absolute_error: 0.4819, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.8779, 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: 0.9102, f_measure: 0.8454, kappa: 0.6027, kb_relative_information_score: 1418.0133, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.8445, predictive_accuracy: 0.8487, prior_entropy: 0.8464, recall: 0.8487, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.7341, scimark_benchmark: 941.6675, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.8783, kappa: 0.6951, kb_relative_information_score: 1839.7891, mean_absolute_error: 0.1885, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.8795, predictive_accuracy: 0.8774, prior_entropy: 0.8464, recall: 0.8774, relative_absolute_error: 0.4751, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.304, root_relative_squared_error: 0.683, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.9316, kappa: 0.8217, kb_relative_information_score: 2854.4861, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.9401, predictive_accuracy: 0.9347, prior_entropy: 0.8464, recall: 0.9347, relative_absolute_error: 0.1646, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2556, root_relative_squared_error: 0.5742, scimark_benchmark: 947.1781, usercpu_time_millis: 160, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9127, kappa: 0.7798, kb_relative_information_score: 1913.3241, mean_absolute_error: 0.1876, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.9128, predictive_accuracy: 0.9126, prior_entropy: 0.8464, recall: 0.9126, relative_absolute_error: 0.4729, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2645, root_relative_squared_error: 0.5943, scimark_benchmark: 943.1009, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.8186, kappa: 0.5494, kb_relative_information_score: 1548.7663, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.8224, predictive_accuracy: 0.816, prior_entropy: 0.8464, recall: 0.816, relative_absolute_error: 0.5282, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3817, root_relative_squared_error: 0.8576, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.8352, kappa: 0.5871, kb_relative_information_score: 1368.5969, mean_absolute_error: 0.2404, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.8366, predictive_accuracy: 0.8341, prior_entropy: 0.8464, recall: 0.8341, relative_absolute_error: 0.6059, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3359, root_relative_squared_error: 0.7546, scimark_benchmark: 901.6243, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.8232, kappa: 0.5497, kb_relative_information_score: 1492.8794, mean_absolute_error: 0.2241, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.822, predictive_accuracy: 0.8249, prior_entropy: 0.8464, recall: 0.8249, relative_absolute_error: 0.5647, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3419, root_relative_squared_error: 0.7681, scimark_benchmark: 608.4057, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.9316, kappa: 0.8217, kb_relative_information_score: 2854.4861, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.9401, predictive_accuracy: 0.9347, prior_entropy: 0.8464, recall: 0.9347, relative_absolute_error: 0.1646, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2556, root_relative_squared_error: 0.5742, scimark_benchmark: 908.9569, usercpu_time_millis: 200, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.9316, kappa: 0.8217, kb_relative_information_score: 2854.4861, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.9401, predictive_accuracy: 0.9347, prior_entropy: 0.8464, recall: 0.9347, relative_absolute_error: 0.1646, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2556, root_relative_squared_error: 0.5742, scimark_benchmark: 934.5964, usercpu_time_millis: 180, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.8211, kappa: 0.5802, kb_relative_information_score: 1649.7267, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.8478, predictive_accuracy: 0.8132, prior_entropy: 0.8464, recall: 0.8132, relative_absolute_error: 0.4819, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.8779, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.8211, kappa: 0.5802, kb_relative_information_score: 1649.7267, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.8478, predictive_accuracy: 0.8132, prior_entropy: 0.8464, recall: 0.8132, relative_absolute_error: 0.4819, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.8779, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.8454, kappa: 0.6027, kb_relative_information_score: 1418.0133, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.8445, predictive_accuracy: 0.8487, prior_entropy: 0.8464, recall: 0.8487, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.7341, scimark_benchmark: 930.404, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.8211, kappa: 0.5802, kb_relative_information_score: 1649.7267, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.8478, predictive_accuracy: 0.8132, prior_entropy: 0.8464, recall: 0.8132, relative_absolute_error: 0.4819, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.8779, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8944, f_measure: 0.8775, kappa: 0.6971, kb_relative_information_score: 2085.9758, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.8818, predictive_accuracy: 0.8754, prior_entropy: 0.8464, recall: 0.8754, relative_absolute_error: 0.3893, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.741, scimark_benchmark: 932.438, usercpu_time_millis: 1920, usercpu_time_millis_training: 1920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9127, kappa: 0.7798, kb_relative_information_score: 1913.3241, mean_absolute_error: 0.1876, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.9128, predictive_accuracy: 0.9126, prior_entropy: 0.8464, recall: 0.9126, relative_absolute_error: 0.4729, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2645, root_relative_squared_error: 0.5943, scimark_benchmark: 938.988, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9105, kappa: 0.7736, kb_relative_information_score: 2236.3008, mean_absolute_error: 0.1432, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.9103, predictive_accuracy: 0.9106, prior_entropy: 0.8464, recall: 0.9106, relative_absolute_error: 0.3608, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2459, root_relative_squared_error: 0.5525, scimark_benchmark: 851.2074, usercpu_time_millis: 7830, usercpu_time_millis_testing: 3820, usercpu_time_millis_training: 4010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9159, kappa: 0.7873, kb_relative_information_score: 2244.3141, mean_absolute_error: 0.1424, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.9158, predictive_accuracy: 0.916, prior_entropy: 0.8464, recall: 0.916, relative_absolute_error: 0.3589, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.5507, scimark_benchmark: 945.6228, usercpu_time_millis: 3870, usercpu_time_millis_testing: 1600, usercpu_time_millis_training: 2270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9141, kappa: 0.7832, kb_relative_information_score: 2229.252, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.9141, predictive_accuracy: 0.914, prior_entropy: 0.8464, recall: 0.914, relative_absolute_error: 0.3617, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.5577, scimark_benchmark: 906.8974, usercpu_time_millis: 2060, usercpu_time_millis_testing: 860, usercpu_time_millis_training: 1200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9121, kappa: 0.7782, kb_relative_information_score: 2224.2277, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.9121, predictive_accuracy: 0.912, prior_entropy: 0.8464, recall: 0.912, relative_absolute_error: 0.3617, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2505, root_relative_squared_error: 0.5628, scimark_benchmark: 932.4744, usercpu_time_millis: 760, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.9043, kappa: 0.7583, kb_relative_information_score: 2226.2184, mean_absolute_error: 0.1422, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.9042, predictive_accuracy: 0.9043, prior_entropy: 0.8464, recall: 0.9043, relative_absolute_error: 0.3584, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2571, root_relative_squared_error: 0.5777, scimark_benchmark: 941.9549, usercpu_time_millis: 420, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.8507, kappa: 0.6261, kb_relative_information_score: 1841.2513, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.8521, predictive_accuracy: 0.8496, prior_entropy: 0.8464, recall: 0.8496, relative_absolute_error: 0.4522, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.33, root_relative_squared_error: 0.7413, scimark_benchmark: 894.7131, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.8507, kappa: 0.6261, kb_relative_information_score: 1841.2513, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.8521, predictive_accuracy: 0.8496, prior_entropy: 0.8464, recall: 0.8496, relative_absolute_error: 0.4522, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.33, root_relative_squared_error: 0.7413, scimark_benchmark: 926.5859, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.8507, kappa: 0.6261, kb_relative_information_score: 1841.2513, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.8521, predictive_accuracy: 0.8496, prior_entropy: 0.8464, recall: 0.8496, relative_absolute_error: 0.4522, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.33, root_relative_squared_error: 0.7413, scimark_benchmark: 936.7184, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.851, kappa: 0.6272, kb_relative_information_score: 1842.6919, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.8526, predictive_accuracy: 0.8499, prior_entropy: 0.8464, recall: 0.8499, relative_absolute_error: 0.452, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.7407, scimark_benchmark: 929.0296, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.8369, kappa: 0.5919, kb_relative_information_score: 1695.0062, mean_absolute_error: 0.1948, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.8386, predictive_accuracy: 0.8355, prior_entropy: 0.8464, recall: 0.8355, relative_absolute_error: 0.4909, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.7592, scimark_benchmark: 894.7131, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4822, f_measure: 0.6131, kb_relative_information_score: -6.2142, mean_absolute_error: 0.3969, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.5297, predictive_accuracy: 0.7278, prior_entropy: 0.8464, recall: 0.7278, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4451, root_relative_squared_error: 1.0001, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.85, kappa: 0.6196, kb_relative_information_score: 2006.1468, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.8494, predictive_accuracy: 0.8507, prior_entropy: 0.8464, recall: 0.8507, relative_absolute_error: 0.3917, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3562, root_relative_squared_error: 0.8004, scimark_benchmark: 894.7131, usercpu_time_millis: 440, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.829, kappa: 0.5638, kb_relative_information_score: 1824.7952, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.8277, predictive_accuracy: 0.8309, prior_entropy: 0.8464, recall: 0.8309, relative_absolute_error: 0.4406, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.8399, scimark_benchmark: 936.1714, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, f_measure: 0.8016, kappa: 0.4864, kb_relative_information_score: 1630.1621, mean_absolute_error: 0.1955, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.7999, predictive_accuracy: 0.808, prior_entropy: 0.8464, recall: 0.808, relative_absolute_error: 0.4927, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3877, root_relative_squared_error: 0.871, scimark_benchmark: 936.1714, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.842, f_measure: 0.7751, kappa: 0.423, kb_relative_information_score: 1307.474, mean_absolute_error: 0.2297, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.7725, predictive_accuracy: 0.7794, prior_entropy: 0.8464, recall: 0.7794, relative_absolute_error: 0.5788, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.92, scimark_benchmark: 935.6052, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.8211, kappa: 0.5802, kb_relative_information_score: 1649.7267, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.8478, predictive_accuracy: 0.8132, prior_entropy: 0.8464, recall: 0.8132, relative_absolute_error: 0.4819, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.8779, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.8454, kappa: 0.6027, kb_relative_information_score: 1418.0133, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.8445, predictive_accuracy: 0.8487, prior_entropy: 0.8464, recall: 0.8487, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.7341, scimark_benchmark: 1342.8584, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.8783, kappa: 0.6951, kb_relative_information_score: 1839.7891, mean_absolute_error: 0.1885, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.8795, predictive_accuracy: 0.8774, prior_entropy: 0.8464, recall: 0.8774, relative_absolute_error: 0.4751, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.304, root_relative_squared_error: 0.683, scimark_benchmark: 1319.952, usercpu_time_millis: 1650, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.8211, kappa: 0.5802, kb_relative_information_score: 1649.7267, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.8478, predictive_accuracy: 0.8132, prior_entropy: 0.8464, recall: 0.8132, relative_absolute_error: 0.4819, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.8779, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.8186, kappa: 0.5494, kb_relative_information_score: 1548.7663, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.8224, predictive_accuracy: 0.816, prior_entropy: 0.8464, recall: 0.816, relative_absolute_error: 0.5282, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3817, root_relative_squared_error: 0.8576, scimark_benchmark: 1335.2357, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.7938, kappa: 0.5266, kb_relative_information_score: 1415.5676, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.8322, predictive_accuracy: 0.7834, prior_entropy: 0.8464, recall: 0.7834, relative_absolute_error: 0.5395, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4361, root_relative_squared_error: 0.9798, scimark_benchmark: 1325.4787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.8211, kappa: 0.5802, kb_relative_information_score: 1649.7267, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.8478, predictive_accuracy: 0.8132, prior_entropy: 0.8464, recall: 0.8132, relative_absolute_error: 0.4819, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.8779, scimark_benchmark: 1338.5214, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.8211, kappa: 0.5802, kb_relative_information_score: 1649.7267, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.8478, predictive_accuracy: 0.8132, prior_entropy: 0.8464, recall: 0.8132, relative_absolute_error: 0.4819, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.8779, scimark_benchmark: 1337.1928, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.8211, kappa: 0.5802, kb_relative_information_score: 1649.7267, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.8478, predictive_accuracy: 0.8132, prior_entropy: 0.8464, recall: 0.8132, relative_absolute_error: 0.4819, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.8779, scimark_benchmark: 1346.4374, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8944, f_measure: 0.8775, kappa: 0.6971, kb_relative_information_score: 2085.9758, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.8818, predictive_accuracy: 0.8754, prior_entropy: 0.8464, recall: 0.8754, relative_absolute_error: 0.3893, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.741, scimark_benchmark: 1317.6232, usercpu_time_millis: 1910, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9127, kappa: 0.7798, kb_relative_information_score: 1913.3241, mean_absolute_error: 0.1876, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.9128, predictive_accuracy: 0.9126, prior_entropy: 0.8464, recall: 0.9126, relative_absolute_error: 0.4729, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2645, root_relative_squared_error: 0.5943, scimark_benchmark: 1367.3264, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.8413, kappa: 0.5957, kb_relative_information_score: 1228.9837, mean_absolute_error: 0.2548, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.8403, predictive_accuracy: 0.843, prior_entropy: 0.8464, recall: 0.843, relative_absolute_error: 0.642, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3436, root_relative_squared_error: 0.7719, scimark_benchmark: 1318.4315, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7648, f_measure: 0.7059, kappa: 0.2176, kb_relative_information_score: 465.904, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.7056, predictive_accuracy: 0.737, prior_entropy: 0.8464, recall: 0.737, relative_absolute_error: 0.8074, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.9193, scimark_benchmark: 1331.8682, usercpu_time_millis: 900, usercpu_time_millis_testing: 900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.8352, kappa: 0.5871, kb_relative_information_score: 1368.5969, mean_absolute_error: 0.2404, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.8366, predictive_accuracy: 0.8341, prior_entropy: 0.8464, recall: 0.8341, relative_absolute_error: 0.6059, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3359, root_relative_squared_error: 0.7546, scimark_benchmark: 1310.3168, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.8596, kappa: 0.6488, kb_relative_information_score: 2075.1234, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.8612, predictive_accuracy: 0.8585, prior_entropy: 0.8464, recall: 0.8585, relative_absolute_error: 0.3763, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.8216, scimark_benchmark: 1331.0047, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.8232, kappa: 0.5497, kb_relative_information_score: 1492.8794, mean_absolute_error: 0.2241, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.822, predictive_accuracy: 0.8249, prior_entropy: 0.8464, recall: 0.8249, relative_absolute_error: 0.5647, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3419, root_relative_squared_error: 0.7681, scimark_benchmark: 1322.3407, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.8662, kappa: 0.6688, kb_relative_information_score: 2066.7656, mean_absolute_error: 0.1518, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.8704, predictive_accuracy: 0.8639, prior_entropy: 0.8464, recall: 0.8639, relative_absolute_error: 0.3825, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.7652, scimark_benchmark: 1338.6772, usercpu_time_millis: 440, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.7938, kappa: 0.5266, kb_relative_information_score: 1415.5676, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.8322, predictive_accuracy: 0.7834, prior_entropy: 0.8464, recall: 0.7834, relative_absolute_error: 0.5395, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4361, root_relative_squared_error: 0.9798, scimark_benchmark: 1352.3373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.8211, kappa: 0.5802, kb_relative_information_score: 1649.7267, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.8478, predictive_accuracy: 0.8132, prior_entropy: 0.8464, recall: 0.8132, relative_absolute_error: 0.4819, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.8779, scimark_benchmark: 1343.7262, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.8211, kappa: 0.5802, kb_relative_information_score: 1649.7267, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.8478, predictive_accuracy: 0.8132, prior_entropy: 0.8464, recall: 0.8132, relative_absolute_error: 0.4819, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.8779, scimark_benchmark: 1347.7267, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.8211, kappa: 0.5802, kb_relative_information_score: 1649.7267, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.8478, predictive_accuracy: 0.8132, prior_entropy: 0.8464, recall: 0.8132, relative_absolute_error: 0.4819, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.8779, scimark_benchmark: 1338.6409, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.8211, kappa: 0.5802, kb_relative_information_score: 1649.7267, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.8478, predictive_accuracy: 0.8132, prior_entropy: 0.8464, recall: 0.8132, relative_absolute_error: 0.4819, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.8779, scimark_benchmark: 1342.6744, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8944, f_measure: 0.8775, kappa: 0.6971, kb_relative_information_score: 2085.9758, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.8818, predictive_accuracy: 0.8754, prior_entropy: 0.8464, recall: 0.8754, relative_absolute_error: 0.3893, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.741, scimark_benchmark: 1345.0202, usercpu_time_millis: 2150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.8186, kappa: 0.5494, kb_relative_information_score: 1548.7663, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.8224, predictive_accuracy: 0.816, prior_entropy: 0.8464, recall: 0.816, relative_absolute_error: 0.5282, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3817, root_relative_squared_error: 0.8576, scimark_benchmark: 1317.071, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8944, f_measure: 0.8775, kappa: 0.6971, kb_relative_information_score: 2085.9758, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.3968, number_of_instances: 3490, precision: 0.8818, predictive_accuracy: 0.8754, prior_entropy: 0.8464, recall: 0.8754, relative_absolute_error: 0.3893, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.741, scimark_benchmark: 1364.991, usercpu_time_millis: 1830, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1820,

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