Task
Supervised Classification on page-blocks

Supervised Classification on page-blocks

Task 4589 Supervised Classification page-blocks 205 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.9687, kappa: 0.8262, kb_relative_information_score: 38664.8954, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9684, predictive_accuracy: 0.9693, prior_entropy: 0.4768, recall: 0.9693, relative_absolute_error: 0.2457, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1619, root_relative_squared_error: 0.5342, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9603, kappa: 0.7783, kb_relative_information_score: 23939.2831, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9599, predictive_accuracy: 0.9613, prior_entropy: 0.4768, recall: 0.9613, relative_absolute_error: 0.4515, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.5784, scimark_benchmark: 972.587, usercpu_time_millis: 600, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9658, kappa: 0.8107, kb_relative_information_score: 34739.2153, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9655, predictive_accuracy: 0.9665, prior_entropy: 0.4768, recall: 0.9665, relative_absolute_error: 0.2984, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.5388, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5895, f_measure: 0.8871, kappa: 0.2755, kb_relative_information_score: 20500.4151, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9099, predictive_accuracy: 0.9135, prior_entropy: 0.4768, recall: 0.9135, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.9703, scimark_benchmark: 944.1067, usercpu_time_millis: 14740, usercpu_time_millis_testing: 2680, usercpu_time_millis_training: 12060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5895, f_measure: 0.8871, kappa: 0.2755, kb_relative_information_score: 20500.4151, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9099, predictive_accuracy: 0.9135, prior_entropy: 0.4768, recall: 0.9135, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.9703, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9666, kappa: 0.8142, kb_relative_information_score: 40776.1374, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9664, predictive_accuracy: 0.9674, prior_entropy: 0.4768, recall: 0.9674, relative_absolute_error: 0.2006, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.5189, scimark_benchmark: 941.6675, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9666, kappa: 0.8142, kb_relative_information_score: 40776.1374, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9664, predictive_accuracy: 0.9674, prior_entropy: 0.4768, recall: 0.9674, relative_absolute_error: 0.2006, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.5189, scimark_benchmark: 941.6675, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9749, kappa: 0.8622, kb_relative_information_score: 40441.8777, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9748, predictive_accuracy: 0.9752, prior_entropy: 0.4768, recall: 0.9752, relative_absolute_error: 0.2223, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1388, root_relative_squared_error: 0.4579, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9707, kappa: 0.8395, kb_relative_information_score: 40967.0202, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9706, predictive_accuracy: 0.9709, prior_entropy: 0.4768, recall: 0.9709, relative_absolute_error: 0.2017, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.5209, scimark_benchmark: 944.1067, usercpu_time_millis: 3060, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9783, kappa: 0.8813, kb_relative_information_score: 41695.2693, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9782, predictive_accuracy: 0.9784, prior_entropy: 0.4768, recall: 0.9784, relative_absolute_error: 0.196, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.4396, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5895, f_measure: 0.8871, kappa: 0.2755, kb_relative_information_score: 20500.4151, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9099, predictive_accuracy: 0.9135, prior_entropy: 0.4768, recall: 0.9135, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.9703, scimark_benchmark: 944.1783, usercpu_time_millis: 42080, usercpu_time_millis_testing: 8820, usercpu_time_millis_training: 33260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5895, f_measure: 0.8871, kappa: 0.2755, kb_relative_information_score: 20500.4151, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9099, predictive_accuracy: 0.9135, prior_entropy: 0.4768, recall: 0.9135, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.9703, scimark_benchmark: 944.1783, usercpu_time_millis: 41010, usercpu_time_millis_testing: 4230, usercpu_time_millis_training: 36780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9666, kappa: 0.8142, kb_relative_information_score: 40776.1374, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9664, predictive_accuracy: 0.9674, prior_entropy: 0.4768, recall: 0.9674, relative_absolute_error: 0.2006, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.5189, scimark_benchmark: 947.1781, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9783, kappa: 0.8813, kb_relative_information_score: 41695.2693, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9782, predictive_accuracy: 0.9784, prior_entropy: 0.4768, recall: 0.9784, relative_absolute_error: 0.196, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.4396, scimark_benchmark: 974.2014, usercpu_time_millis: 2060, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 1920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.9687, kappa: 0.8262, kb_relative_information_score: 38664.8954, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9684, predictive_accuracy: 0.9693, prior_entropy: 0.4768, recall: 0.9693, relative_absolute_error: 0.2457, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1619, root_relative_squared_error: 0.5342, scimark_benchmark: 942.2392, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9603, kappa: 0.7783, kb_relative_information_score: 23939.2831, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9599, predictive_accuracy: 0.9613, prior_entropy: 0.4768, recall: 0.9613, relative_absolute_error: 0.4515, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.5784, scimark_benchmark: 901.6243, usercpu_time_millis: 510, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9658, kappa: 0.8107, kb_relative_information_score: 34739.2153, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9655, predictive_accuracy: 0.9665, prior_entropy: 0.4768, recall: 0.9665, relative_absolute_error: 0.2984, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.5388, scimark_benchmark: 934.695, usercpu_time_millis: 980, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5895, f_measure: 0.8871, kappa: 0.2755, kb_relative_information_score: 20500.4151, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9099, predictive_accuracy: 0.9135, prior_entropy: 0.4768, recall: 0.9135, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.9703, scimark_benchmark: 941.7976, usercpu_time_millis: 37370, usercpu_time_millis_testing: 3030, usercpu_time_millis_training: 34340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5895, f_measure: 0.8871, kappa: 0.2755, kb_relative_information_score: 20500.4151, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9099, predictive_accuracy: 0.9135, prior_entropy: 0.4768, recall: 0.9135, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.9703, scimark_benchmark: 730.6551, usercpu_time_millis: 70660, usercpu_time_millis_testing: 11760, usercpu_time_millis_training: 58900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9607, kappa: 0.7765, kb_relative_information_score: 34314.1693, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9612, predictive_accuracy: 0.9626, prior_entropy: 0.4768, recall: 0.9626, relative_absolute_error: 0.3258, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1687, root_relative_squared_error: 0.5565, scimark_benchmark: 906.0979, usercpu_time_millis: 561040, usercpu_time_millis_testing: 4500, usercpu_time_millis_training: 556540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9368, kappa: 0.6822, kb_relative_information_score: 26306.2793, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9455, predictive_accuracy: 0.9323, prior_entropy: 0.4768, recall: 0.9323, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2418, root_relative_squared_error: 0.7977, scimark_benchmark: 930.404, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9666, kappa: 0.8142, kb_relative_information_score: 40776.1374, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9664, predictive_accuracy: 0.9674, prior_entropy: 0.4768, recall: 0.9674, relative_absolute_error: 0.2006, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.5189, scimark_benchmark: 938.1282, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9749, kappa: 0.8622, kb_relative_information_score: 40441.8777, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9748, predictive_accuracy: 0.9752, prior_entropy: 0.4768, recall: 0.9752, relative_absolute_error: 0.2223, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1388, root_relative_squared_error: 0.4579, scimark_benchmark: 930.404, usercpu_time_millis: 300, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9666, kappa: 0.8142, kb_relative_information_score: 40776.1374, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9664, predictive_accuracy: 0.9674, prior_entropy: 0.4768, recall: 0.9674, relative_absolute_error: 0.2006, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.5189, scimark_benchmark: 936.9595, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9783, kappa: 0.8813, kb_relative_information_score: 41695.2693, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9782, predictive_accuracy: 0.9784, prior_entropy: 0.4768, recall: 0.9784, relative_absolute_error: 0.196, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.4396, scimark_benchmark: 917.5013, usercpu_time_millis: 2630, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 2330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9787, kappa: 0.8833, kb_relative_information_score: 41287.9115, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9786, predictive_accuracy: 0.9788, prior_entropy: 0.4768, recall: 0.9788, relative_absolute_error: 0.2188, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1323, root_relative_squared_error: 0.4365, scimark_benchmark: 1051.249, usercpu_time_millis: 59630, usercpu_time_millis_testing: 18460, usercpu_time_millis_training: 41170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9784, kappa: 0.8818, kb_relative_information_score: 41285.4113, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9783, predictive_accuracy: 0.9786, prior_entropy: 0.4768, recall: 0.9786, relative_absolute_error: 0.2186, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1326, root_relative_squared_error: 0.4376, scimark_benchmark: 934.7923, usercpu_time_millis: 23050, usercpu_time_millis_testing: 2780, usercpu_time_millis_training: 20270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9784, kappa: 0.8819, kb_relative_information_score: 41209.7711, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9783, predictive_accuracy: 0.9786, prior_entropy: 0.4768, recall: 0.9786, relative_absolute_error: 0.2189, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1329, root_relative_squared_error: 0.4386, scimark_benchmark: 941.7976, usercpu_time_millis: 10960, usercpu_time_millis_testing: 1280, usercpu_time_millis_training: 9680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9772, kappa: 0.8753, kb_relative_information_score: 41107.9376, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9771, predictive_accuracy: 0.9774, prior_entropy: 0.4768, recall: 0.9774, relative_absolute_error: 0.2185, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.4425, scimark_benchmark: 910.2405, usercpu_time_millis: 5460, usercpu_time_millis_testing: 630, usercpu_time_millis_training: 4830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9768, kappa: 0.8726, kb_relative_information_score: 40858.1297, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9766, predictive_accuracy: 0.9769, prior_entropy: 0.4768, recall: 0.9769, relative_absolute_error: 0.2196, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.4498, scimark_benchmark: 928.821, usercpu_time_millis: 2950, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 2620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9556, kappa: 0.7535, kb_relative_information_score: 33818.9653, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9551, predictive_accuracy: 0.9565, prior_entropy: 0.4768, recall: 0.9565, relative_absolute_error: 0.3019, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.5965, scimark_benchmark: 936.1714, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9556, kappa: 0.7535, kb_relative_information_score: 33818.9653, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9551, predictive_accuracy: 0.9565, prior_entropy: 0.4768, recall: 0.9565, relative_absolute_error: 0.3019, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.5965, scimark_benchmark: 889.4922, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9556, kappa: 0.7535, kb_relative_information_score: 33818.9653, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9551, predictive_accuracy: 0.9565, prior_entropy: 0.4768, recall: 0.9565, relative_absolute_error: 0.3019, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.5965, scimark_benchmark: 941.9549, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9556, kappa: 0.7535, kb_relative_information_score: 33818.9653, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9551, predictive_accuracy: 0.9565, prior_entropy: 0.4768, recall: 0.9565, relative_absolute_error: 0.3019, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.5965, scimark_benchmark: 941.9549, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9469, kappa: 0.6999, kb_relative_information_score: 25741.5849, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9462, predictive_accuracy: 0.949, prior_entropy: 0.4768, recall: 0.949, relative_absolute_error: 0.4318, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.655, scimark_benchmark: 929.0296, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9666, kappa: 0.8142, kb_relative_information_score: 40776.1374, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9664, predictive_accuracy: 0.9674, prior_entropy: 0.4768, recall: 0.9674, relative_absolute_error: 0.2006, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.5189, scimark_benchmark: 929.0363, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9666, kappa: 0.8142, kb_relative_information_score: 40776.1374, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9664, predictive_accuracy: 0.9674, prior_entropy: 0.4768, recall: 0.9674, relative_absolute_error: 0.2006, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.5189, scimark_benchmark: 1362.9924, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9666, kappa: 0.8142, kb_relative_information_score: 40776.1374, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9664, predictive_accuracy: 0.9674, prior_entropy: 0.4768, recall: 0.9674, relative_absolute_error: 0.2006, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.5189, scimark_benchmark: 1278.9821, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9783, kappa: 0.8813, kb_relative_information_score: 41695.2693, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9782, predictive_accuracy: 0.9784, prior_entropy: 0.4768, recall: 0.9784, relative_absolute_error: 0.196, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.4396, scimark_benchmark: 1331.7953, usercpu_time_millis: 1980, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 1850,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9783, kappa: 0.8813, kb_relative_information_score: 41695.2693, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9782, predictive_accuracy: 0.9784, prior_entropy: 0.4768, recall: 0.9784, relative_absolute_error: 0.196, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.4396, scimark_benchmark: 1347.6543, usercpu_time_millis: 1850, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 1680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9607, kappa: 0.7765, kb_relative_information_score: 34314.1692, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9612, predictive_accuracy: 0.9626, prior_entropy: 0.4768, recall: 0.9626, relative_absolute_error: 0.3258, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1687, root_relative_squared_error: 0.5565, scimark_benchmark: 1308.685, usercpu_time_millis: 183980, usercpu_time_millis_testing: 4120, usercpu_time_millis_training: 179860,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9603, kappa: 0.7783, kb_relative_information_score: 23939.2831, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9599, predictive_accuracy: 0.9613, prior_entropy: 0.4768, recall: 0.9613, relative_absolute_error: 0.4515, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.5784, scimark_benchmark: 1350.7721, usercpu_time_millis: 400, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5895, f_measure: 0.8871, kappa: 0.2755, kb_relative_information_score: 20500.4151, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9099, predictive_accuracy: 0.9135, prior_entropy: 0.4768, recall: 0.9135, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.9703, scimark_benchmark: 1324.6442, usercpu_time_millis: 65620, usercpu_time_millis_testing: 14570, usercpu_time_millis_training: 51050,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9707, kappa: 0.8395, kb_relative_information_score: 40967.0202, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9706, predictive_accuracy: 0.9709, prior_entropy: 0.4768, recall: 0.9709, relative_absolute_error: 0.2017, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.5209, scimark_benchmark: 1322.1893, usercpu_time_millis: 2780, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9783, kappa: 0.8813, kb_relative_information_score: 41695.2693, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9782, predictive_accuracy: 0.9784, prior_entropy: 0.4768, recall: 0.9784, relative_absolute_error: 0.196, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.4396, scimark_benchmark: 1350.8432, usercpu_time_millis: 1800, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 1650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.9687, kappa: 0.8262, kb_relative_information_score: 38664.8954, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9684, predictive_accuracy: 0.9693, prior_entropy: 0.4768, recall: 0.9693, relative_absolute_error: 0.2457, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1619, root_relative_squared_error: 0.5342, scimark_benchmark: 1393.8432, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.9469, kappa: 0.6973, kb_relative_information_score: 27153.6866, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9465, predictive_accuracy: 0.9495, prior_entropy: 0.4768, recall: 0.9495, relative_absolute_error: 0.4292, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.6536, scimark_benchmark: 1320.1171, usercpu_time_millis: 38080, usercpu_time_millis_testing: 1320, usercpu_time_millis_training: 36760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9607, kappa: 0.7765, kb_relative_information_score: 34314.1692, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9612, predictive_accuracy: 0.9626, prior_entropy: 0.4768, recall: 0.9626, relative_absolute_error: 0.3258, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1687, root_relative_squared_error: 0.5565, scimark_benchmark: 1310.4278, usercpu_time_millis: 197840, usercpu_time_millis_testing: 4130, usercpu_time_millis_training: 193710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9658, kappa: 0.8107, kb_relative_information_score: 34739.2153, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9655, predictive_accuracy: 0.9665, prior_entropy: 0.4768, recall: 0.9665, relative_absolute_error: 0.2984, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.5388, scimark_benchmark: 1339.6197, usercpu_time_millis: 820, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.973, kappa: 0.8517, kb_relative_information_score: 41362.4901, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9728, predictive_accuracy: 0.9732, prior_entropy: 0.4768, recall: 0.9732, relative_absolute_error: 0.1931, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1488, root_relative_squared_error: 0.491, scimark_benchmark: 1318.6467, usercpu_time_millis: 7660, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 7650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9666, kappa: 0.8142, kb_relative_information_score: 40776.1374, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9664, predictive_accuracy: 0.9674, prior_entropy: 0.4768, recall: 0.9674, relative_absolute_error: 0.2006, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.5189, scimark_benchmark: 1342.9012, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9666, kappa: 0.8142, kb_relative_information_score: 40776.1374, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9664, predictive_accuracy: 0.9674, prior_entropy: 0.4768, recall: 0.9674, relative_absolute_error: 0.2006, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.5189, scimark_benchmark: 1334.9442, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9783, kappa: 0.8813, kb_relative_information_score: 41695.2693, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.1838, number_of_instances: 54730, precision: 0.9782, predictive_accuracy: 0.9784, prior_entropy: 0.4768, recall: 0.9784, relative_absolute_error: 0.196, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.4396, scimark_benchmark: 1322.0065, usercpu_time_millis: 2030, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 1880,
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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