Task
Supervised Classification on fri_c4_250_50

Supervised Classification on fri_c4_250_50

Task 4486 Supervised Classification fri_c4_250_50 217 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8166, f_measure: 0.7912, kappa: 0.5792, kb_relative_information_score: 1176.757, mean_absolute_error: 0.2766, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.7914, predictive_accuracy: 0.7916, prior_entropy: 0.9955, recall: 0.7916, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.8214, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8471, f_measure: 0.7793, kappa: 0.5554, kb_relative_information_score: 1055.1737, mean_absolute_error: 0.3001, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.7793, predictive_accuracy: 0.7796, prior_entropy: 0.9955, recall: 0.7796, relative_absolute_error: 0.6041, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.7978, scimark_benchmark: 972.587, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.7945, kappa: 0.5858, kb_relative_information_score: 1286.1329, mean_absolute_error: 0.2502, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.7953, predictive_accuracy: 0.7952, prior_entropy: 0.9955, recall: 0.7952, relative_absolute_error: 0.5036, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.7937, scimark_benchmark: 934.3687, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.606, f_measure: 0.6098, kappa: 0.2133, kb_relative_information_score: 540.0516, mean_absolute_error: 0.3884, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.6098, predictive_accuracy: 0.6116, prior_entropy: 0.9955, recall: 0.6116, relative_absolute_error: 0.7818, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6232, root_relative_squared_error: 1.2504, scimark_benchmark: 901.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.606, f_measure: 0.6098, kappa: 0.2133, kb_relative_information_score: 540.0516, mean_absolute_error: 0.3884, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.6098, predictive_accuracy: 0.6116, prior_entropy: 0.9955, recall: 0.6116, relative_absolute_error: 0.7818, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6232, root_relative_squared_error: 1.2504, scimark_benchmark: 904.0772, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.8022, kappa: 0.6016, kb_relative_information_score: 1321.746, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8022, predictive_accuracy: 0.8024, prior_entropy: 0.9955, recall: 0.8024, relative_absolute_error: 0.4871, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7722, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.8022, kappa: 0.6016, kb_relative_information_score: 1321.746, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8022, predictive_accuracy: 0.8024, prior_entropy: 0.9955, recall: 0.8024, relative_absolute_error: 0.4871, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7722, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.8022, kappa: 0.6016, kb_relative_information_score: 1321.746, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8022, predictive_accuracy: 0.8024, prior_entropy: 0.9955, recall: 0.8024, relative_absolute_error: 0.4871, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7722, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.8054, kappa: 0.6077, kb_relative_information_score: 1062.7331, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8073, predictive_accuracy: 0.8064, prior_entropy: 0.9955, recall: 0.8064, relative_absolute_error: 0.6098, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.7651, scimark_benchmark: 941.6675, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6024, f_measure: 0.5982, kappa: 0.1905, kb_relative_information_score: 269.7827, mean_absolute_error: 0.4487, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.5979, predictive_accuracy: 0.5988, prior_entropy: 0.9955, recall: 0.5988, relative_absolute_error: 0.9032, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5244, root_relative_squared_error: 1.0521, scimark_benchmark: 934.2976, usercpu_time_millis: 270, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.772, kappa: 0.5412, kb_relative_information_score: 1198.4043, mean_absolute_error: 0.2657, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.7721, predictive_accuracy: 0.772, prior_entropy: 0.9955, recall: 0.772, relative_absolute_error: 0.5349, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4291, root_relative_squared_error: 0.8609, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.606, f_measure: 0.6098, kappa: 0.2133, kb_relative_information_score: 540.0516, mean_absolute_error: 0.3884, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.6098, predictive_accuracy: 0.6116, prior_entropy: 0.9955, recall: 0.6116, relative_absolute_error: 0.7818, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6232, root_relative_squared_error: 1.2504, scimark_benchmark: 936.3373, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.606, f_measure: 0.6098, kappa: 0.2133, kb_relative_information_score: 540.0516, mean_absolute_error: 0.3884, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.6098, predictive_accuracy: 0.6116, prior_entropy: 0.9955, recall: 0.6116, relative_absolute_error: 0.7818, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6232, root_relative_squared_error: 1.2504, scimark_benchmark: 944.1783, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.8022, kappa: 0.6016, kb_relative_information_score: 1321.746, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8022, predictive_accuracy: 0.8024, prior_entropy: 0.9955, recall: 0.8024, relative_absolute_error: 0.4871, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7722, scimark_benchmark: 947.1781, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, f_measure: 0.782, kappa: 0.5605, kb_relative_information_score: 628.3587, mean_absolute_error: 0.3928, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.7829, predictive_accuracy: 0.7828, prior_entropy: 0.9955, recall: 0.7828, relative_absolute_error: 0.7907, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4159, root_relative_squared_error: 0.8346, scimark_benchmark: 937.5117, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8166, f_measure: 0.7912, kappa: 0.5792, kb_relative_information_score: 1176.757, mean_absolute_error: 0.2766, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.7914, predictive_accuracy: 0.7916, prior_entropy: 0.9955, recall: 0.7916, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.8214, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8471, f_measure: 0.7793, kappa: 0.5554, kb_relative_information_score: 1055.1737, mean_absolute_error: 0.3001, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.7793, predictive_accuracy: 0.7796, prior_entropy: 0.9955, recall: 0.7796, relative_absolute_error: 0.6041, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.7978, scimark_benchmark: 908.9569, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.7945, kappa: 0.5858, kb_relative_information_score: 1286.1329, mean_absolute_error: 0.2502, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.7953, predictive_accuracy: 0.7952, prior_entropy: 0.9955, recall: 0.7952, relative_absolute_error: 0.5036, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.7937, scimark_benchmark: 936.2574, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.606, f_measure: 0.6098, kappa: 0.2133, kb_relative_information_score: 540.0516, mean_absolute_error: 0.3884, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.6098, predictive_accuracy: 0.6116, prior_entropy: 0.9955, recall: 0.6116, relative_absolute_error: 0.7818, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6232, root_relative_squared_error: 1.2504, scimark_benchmark: 940.1221, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.8022, kappa: 0.6016, kb_relative_information_score: 1321.746, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8022, predictive_accuracy: 0.8024, prior_entropy: 0.9955, recall: 0.8024, relative_absolute_error: 0.4871, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7722, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.8022, kappa: 0.6016, kb_relative_information_score: 1321.746, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8022, predictive_accuracy: 0.8024, prior_entropy: 0.9955, recall: 0.8024, relative_absolute_error: 0.4871, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7722, scimark_benchmark: 938.1282, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.8022, kappa: 0.6016, kb_relative_information_score: 1321.746, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8022, predictive_accuracy: 0.8024, prior_entropy: 0.9955, recall: 0.8024, relative_absolute_error: 0.4871, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7722, scimark_benchmark: 903.2737, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.8054, kappa: 0.6077, kb_relative_information_score: 1062.7331, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8073, predictive_accuracy: 0.8064, prior_entropy: 0.9955, recall: 0.8064, relative_absolute_error: 0.6098, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.7651, scimark_benchmark: 941.4991, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6024, f_measure: 0.5982, kappa: 0.1905, kb_relative_information_score: 269.7827, mean_absolute_error: 0.4487, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.5979, predictive_accuracy: 0.5988, prior_entropy: 0.9955, recall: 0.5988, relative_absolute_error: 0.9032, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5244, root_relative_squared_error: 1.0521, scimark_benchmark: 919.3788, usercpu_time_millis: 230, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.8022, kappa: 0.6016, kb_relative_information_score: 1321.746, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8022, predictive_accuracy: 0.8024, prior_entropy: 0.9955, recall: 0.8024, relative_absolute_error: 0.4871, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7722, scimark_benchmark: 936.9595, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.772, kappa: 0.5412, kb_relative_information_score: 1198.4043, mean_absolute_error: 0.2657, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.7721, predictive_accuracy: 0.772, prior_entropy: 0.9955, recall: 0.772, relative_absolute_error: 0.5349, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4291, root_relative_squared_error: 0.8609, scimark_benchmark: 936.9595, usercpu_time_millis: 480, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, f_measure: 0.782, kappa: 0.5605, kb_relative_information_score: 628.3587, mean_absolute_error: 0.3928, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.7829, predictive_accuracy: 0.7828, prior_entropy: 0.9955, recall: 0.7828, relative_absolute_error: 0.7907, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4159, root_relative_squared_error: 0.8346, scimark_benchmark: 938.988, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.7735, kappa: 0.5433, kb_relative_information_score: 561.9376, mean_absolute_error: 0.4048, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.7755, predictive_accuracy: 0.7748, prior_entropy: 0.9955, recall: 0.7748, relative_absolute_error: 0.8148, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8571, scimark_benchmark: 908.9569, usercpu_time_millis: 7820, usercpu_time_millis_testing: 3710, usercpu_time_millis_training: 4110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.7688, kappa: 0.534, kb_relative_information_score: 565.3595, mean_absolute_error: 0.4038, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.7695, predictive_accuracy: 0.7696, prior_entropy: 0.9955, recall: 0.7696, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8577, scimark_benchmark: 934.695, usercpu_time_millis: 3440, usercpu_time_millis_testing: 1270, usercpu_time_millis_training: 2170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8195, f_measure: 0.7579, kappa: 0.512, kb_relative_information_score: 568.3976, mean_absolute_error: 0.4024, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.7594, predictive_accuracy: 0.7592, prior_entropy: 0.9955, recall: 0.7592, relative_absolute_error: 0.8099, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4289, root_relative_squared_error: 0.8606, scimark_benchmark: 921.466, usercpu_time_millis: 1690, usercpu_time_millis_testing: 590, usercpu_time_millis_training: 1100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, f_measure: 0.7319, kappa: 0.4595, kb_relative_information_score: 548.6959, mean_absolute_error: 0.4043, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.733, predictive_accuracy: 0.7332, prior_entropy: 0.9955, recall: 0.7332, relative_absolute_error: 0.8139, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.8759, scimark_benchmark: 921.2615, usercpu_time_millis: 670, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7642, f_measure: 0.6955, kappa: 0.3861, kb_relative_information_score: 539.8522, mean_absolute_error: 0.4031, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.6961, predictive_accuracy: 0.6968, prior_entropy: 0.9955, recall: 0.6968, relative_absolute_error: 0.8113, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4449, root_relative_squared_error: 0.8927, scimark_benchmark: 942.5233, usercpu_time_millis: 360, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, f_measure: 0.7806, kappa: 0.558, kb_relative_information_score: 1349.5591, mean_absolute_error: 0.2302, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.7805, predictive_accuracy: 0.7808, prior_entropy: 0.9955, recall: 0.7808, relative_absolute_error: 0.4634, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.8637, scimark_benchmark: 936.1714, usercpu_time_millis: 520, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, f_measure: 0.7822, kappa: 0.5614, kb_relative_information_score: 1353.2216, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.7822, predictive_accuracy: 0.7824, prior_entropy: 0.9955, recall: 0.7824, relative_absolute_error: 0.4625, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.428, root_relative_squared_error: 0.8587, scimark_benchmark: 938.3115, usercpu_time_millis: 360, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, f_measure: 0.7719, kappa: 0.5407, kb_relative_information_score: 1284.9675, mean_absolute_error: 0.2441, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.7718, predictive_accuracy: 0.772, prior_entropy: 0.9955, recall: 0.772, relative_absolute_error: 0.4913, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.8552, scimark_benchmark: 894.7131, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.7845, kappa: 0.5665, kb_relative_information_score: 1266.2543, mean_absolute_error: 0.2515, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.7847, predictive_accuracy: 0.7844, prior_entropy: 0.9955, recall: 0.7844, relative_absolute_error: 0.5061, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.8124, scimark_benchmark: 936.1714, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.7962, kappa: 0.5895, kb_relative_information_score: 1216.8806, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.7962, predictive_accuracy: 0.7964, prior_entropy: 0.9955, recall: 0.7964, relative_absolute_error: 0.5375, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.381, root_relative_squared_error: 0.7644, scimark_benchmark: 929.0296, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.7829, kappa: 0.5626, kb_relative_information_score: 1383.102, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.7829, predictive_accuracy: 0.7832, prior_entropy: 0.9955, recall: 0.7832, relative_absolute_error: 0.4484, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4231, root_relative_squared_error: 0.8489, scimark_benchmark: 941.9549, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.7593, kappa: 0.5151, kb_relative_information_score: 1237.3943, mean_absolute_error: 0.2533, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.7593, predictive_accuracy: 0.7596, prior_entropy: 0.9955, recall: 0.7596, relative_absolute_error: 0.5097, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.8943, scimark_benchmark: 929.0296, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.8007, kappa: 0.5988, kb_relative_information_score: 1315.2288, mean_absolute_error: 0.2432, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8007, predictive_accuracy: 0.8008, prior_entropy: 0.9955, recall: 0.8008, relative_absolute_error: 0.4895, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3863, root_relative_squared_error: 0.7751, scimark_benchmark: 908.2231, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.8022, kappa: 0.6016, kb_relative_information_score: 1321.746, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8022, predictive_accuracy: 0.8024, prior_entropy: 0.9955, recall: 0.8024, relative_absolute_error: 0.4871, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7722, scimark_benchmark: 908.2231, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.8022, kappa: 0.6016, kb_relative_information_score: 1321.746, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8022, predictive_accuracy: 0.8024, prior_entropy: 0.9955, recall: 0.8024, relative_absolute_error: 0.4871, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7722, scimark_benchmark: 1286.2211, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8166, f_measure: 0.7912, kappa: 0.5792, kb_relative_information_score: 1176.757, mean_absolute_error: 0.2766, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.7914, predictive_accuracy: 0.7916, prior_entropy: 0.9955, recall: 0.7916, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.8214, scimark_benchmark: 1322.3407, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.8007, kappa: 0.5988, kb_relative_information_score: 1315.2288, mean_absolute_error: 0.2432, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8007, predictive_accuracy: 0.8008, prior_entropy: 0.9955, recall: 0.8008, relative_absolute_error: 0.4895, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3863, root_relative_squared_error: 0.7751, scimark_benchmark: 1324.7884, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.8022, kappa: 0.6016, kb_relative_information_score: 1321.746, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8022, predictive_accuracy: 0.8024, prior_entropy: 0.9955, recall: 0.8024, relative_absolute_error: 0.4871, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7722, scimark_benchmark: 1324.8408, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.8022, kappa: 0.6016, kb_relative_information_score: 1321.746, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8022, predictive_accuracy: 0.8024, prior_entropy: 0.9955, recall: 0.8024, relative_absolute_error: 0.4871, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7722, scimark_benchmark: 1375.1578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.8022, kappa: 0.6016, kb_relative_information_score: 1321.746, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8022, predictive_accuracy: 0.8024, prior_entropy: 0.9955, recall: 0.8024, relative_absolute_error: 0.4871, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7722, scimark_benchmark: 930.5999, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.8022, kappa: 0.6016, kb_relative_information_score: 1321.746, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8022, predictive_accuracy: 0.8024, prior_entropy: 0.9955, recall: 0.8024, relative_absolute_error: 0.4871, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7722, scimark_benchmark: 930.5999, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8166, f_measure: 0.7912, kappa: 0.5792, kb_relative_information_score: 1176.757, mean_absolute_error: 0.2766, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.7914, predictive_accuracy: 0.7916, prior_entropy: 0.9955, recall: 0.7916, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.8214, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.8007, kappa: 0.5988, kb_relative_information_score: 1315.2288, mean_absolute_error: 0.2432, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8007, predictive_accuracy: 0.8008, prior_entropy: 0.9955, recall: 0.8008, relative_absolute_error: 0.4895, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3863, root_relative_squared_error: 0.7751, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.8022, kappa: 0.6016, kb_relative_information_score: 1321.746, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8022, predictive_accuracy: 0.8024, prior_entropy: 0.9955, recall: 0.8024, relative_absolute_error: 0.4871, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7722, scimark_benchmark: 1349.1517, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.8022, kappa: 0.6016, kb_relative_information_score: 1321.746, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8022, predictive_accuracy: 0.8024, prior_entropy: 0.9955, recall: 0.8024, relative_absolute_error: 0.4871, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7722, scimark_benchmark: 1317.5857, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8471, f_measure: 0.7793, kappa: 0.5554, kb_relative_information_score: 1055.1737, mean_absolute_error: 0.3001, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.7793, predictive_accuracy: 0.7796, prior_entropy: 0.9955, recall: 0.7796, relative_absolute_error: 0.6041, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.7978, scimark_benchmark: 1274.7011, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.8007, kappa: 0.5988, kb_relative_information_score: 1315.2288, mean_absolute_error: 0.2432, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8007, predictive_accuracy: 0.8008, prior_entropy: 0.9955, recall: 0.8008, relative_absolute_error: 0.4895, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3863, root_relative_squared_error: 0.7751, scimark_benchmark: 1329.8008, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.8022, kappa: 0.6016, kb_relative_information_score: 1321.746, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8022, predictive_accuracy: 0.8024, prior_entropy: 0.9955, recall: 0.8024, relative_absolute_error: 0.4871, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7722, scimark_benchmark: 1342.8584, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.8022, kappa: 0.6016, kb_relative_information_score: 1321.746, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8022, predictive_accuracy: 0.8024, prior_entropy: 0.9955, recall: 0.8024, relative_absolute_error: 0.4871, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7722, scimark_benchmark: 1324.7884, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.8054, kappa: 0.6077, kb_relative_information_score: 1062.7331, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8073, predictive_accuracy: 0.8064, prior_entropy: 0.9955, recall: 0.8064, relative_absolute_error: 0.6098, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.7651, scimark_benchmark: 1316.5668, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6024, f_measure: 0.5982, kappa: 0.1905, kb_relative_information_score: 269.7827, mean_absolute_error: 0.4487, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.5979, predictive_accuracy: 0.5988, prior_entropy: 0.9955, recall: 0.5988, relative_absolute_error: 0.9032, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5244, root_relative_squared_error: 1.0521, scimark_benchmark: 1325.8468, usercpu_time_millis: 150, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.8022, kappa: 0.6016, kb_relative_information_score: 1321.746, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8022, predictive_accuracy: 0.8024, prior_entropy: 0.9955, recall: 0.8024, relative_absolute_error: 0.4871, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7722, scimark_benchmark: 1310.3168, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.8007, kappa: 0.5988, kb_relative_information_score: 1315.2288, mean_absolute_error: 0.2432, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8007, predictive_accuracy: 0.8008, prior_entropy: 0.9955, recall: 0.8008, relative_absolute_error: 0.4895, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3863, root_relative_squared_error: 0.7751, scimark_benchmark: 1331.1314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.8022, kappa: 0.6016, kb_relative_information_score: 1321.746, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8022, predictive_accuracy: 0.8024, prior_entropy: 0.9955, recall: 0.8024, relative_absolute_error: 0.4871, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7722, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.8022, kappa: 0.6016, kb_relative_information_score: 1321.746, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8022, predictive_accuracy: 0.8024, prior_entropy: 0.9955, recall: 0.8024, relative_absolute_error: 0.4871, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7722, scimark_benchmark: 1317.5857, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.8022, kappa: 0.6016, kb_relative_information_score: 1321.746, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.8022, predictive_accuracy: 0.8024, prior_entropy: 0.9955, recall: 0.8024, relative_absolute_error: 0.4871, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7722, scimark_benchmark: 1332.9478, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.772, kappa: 0.5412, kb_relative_information_score: 1198.4043, mean_absolute_error: 0.2657, mean_prior_absolute_error: 0.4968, number_of_instances: 2500, precision: 0.7721, predictive_accuracy: 0.772, prior_entropy: 0.9955, recall: 0.772, relative_absolute_error: 0.5349, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4291, root_relative_squared_error: 0.8609, scimark_benchmark: 1324.8408, usercpu_time_millis: 440, usercpu_time_millis_training: 440,

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