Task
Supervised Classification on balance-scale

Supervised Classification on balance-scale

Task 4565 Supervised Classification balance-scale 197 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.812, kappa: 0.6239, kb_relative_information_score: 3093.4385, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8348, predictive_accuracy: 0.8168, prior_entropy: 0.9956, recall: 0.8168, relative_absolute_error: 0.5303, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3804, root_relative_squared_error: 0.7631, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8919, kappa: 0.7822, kb_relative_information_score: 3445.0125, mean_absolute_error: 0.2446, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.892, predictive_accuracy: 0.892, prior_entropy: 0.9956, recall: 0.892, relative_absolute_error: 0.4922, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.6091, scimark_benchmark: 972.587, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.883, kappa: 0.7642, kb_relative_information_score: 3991.2805, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8834, predictive_accuracy: 0.8832, prior_entropy: 0.9956, recall: 0.8832, relative_absolute_error: 0.3885, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2845, root_relative_squared_error: 0.5708, scimark_benchmark: 934.3687, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.9604, kappa: 0.9203, kb_relative_information_score: 5751.4417, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.9606, predictive_accuracy: 0.9605, prior_entropy: 0.9956, recall: 0.9605, relative_absolute_error: 0.0795, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.3988, scimark_benchmark: 901.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.9604, kappa: 0.9203, kb_relative_information_score: 5751.4417, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.9606, predictive_accuracy: 0.9605, prior_entropy: 0.9956, recall: 0.9605, relative_absolute_error: 0.0795, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.3988, scimark_benchmark: 931.771, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.8193, kappa: 0.6392, kb_relative_information_score: 2999.6532, mean_absolute_error: 0.2736, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8465, predictive_accuracy: 0.8245, prior_entropy: 0.9956, recall: 0.8245, relative_absolute_error: 0.5506, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.6925, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.8818, kappa: 0.7619, kb_relative_information_score: 3984.5893, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8819, predictive_accuracy: 0.8819, prior_entropy: 0.9956, recall: 0.8819, relative_absolute_error: 0.3912, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2857, root_relative_squared_error: 0.5732, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9588, kappa: 0.917, kb_relative_information_score: 5104.8929, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.9596, predictive_accuracy: 0.9589, prior_entropy: 0.9956, recall: 0.9589, relative_absolute_error: 0.2051, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.3862, scimark_benchmark: 944.1067, usercpu_time_millis: 1720, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.8109, kappa: 0.6199, kb_relative_information_score: 2861.6531, mean_absolute_error: 0.2864, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8227, predictive_accuracy: 0.8139, prior_entropy: 0.9956, recall: 0.8139, relative_absolute_error: 0.5763, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.7313, scimark_benchmark: 931.771, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.9604, kappa: 0.9203, kb_relative_information_score: 5751.4417, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.9606, predictive_accuracy: 0.9605, prior_entropy: 0.9956, recall: 0.9605, relative_absolute_error: 0.0795, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.3988, scimark_benchmark: 936.3373, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.9604, kappa: 0.9203, kb_relative_information_score: 5751.4417, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.9606, predictive_accuracy: 0.9605, prior_entropy: 0.9956, recall: 0.9605, relative_absolute_error: 0.0795, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.3988, scimark_benchmark: 947.1781, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.8193, kappa: 0.6392, kb_relative_information_score: 2999.6532, mean_absolute_error: 0.2736, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8465, predictive_accuracy: 0.8245, prior_entropy: 0.9956, recall: 0.8245, relative_absolute_error: 0.5506, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.6925, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.8835, kappa: 0.7656, kb_relative_information_score: 4622.738, mean_absolute_error: 0.1338, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8835, predictive_accuracy: 0.8835, prior_entropy: 0.9956, recall: 0.8835, relative_absolute_error: 0.2693, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.5247, scimark_benchmark: 947.1781, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.812, kappa: 0.6239, kb_relative_information_score: 3093.4385, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8348, predictive_accuracy: 0.8168, prior_entropy: 0.9956, recall: 0.8168, relative_absolute_error: 0.5303, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3804, root_relative_squared_error: 0.7631, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8919, kappa: 0.7822, kb_relative_information_score: 3445.0125, mean_absolute_error: 0.2446, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.892, predictive_accuracy: 0.892, prior_entropy: 0.9956, recall: 0.892, relative_absolute_error: 0.4922, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.6091, scimark_benchmark: 908.9569, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.883, kappa: 0.7642, kb_relative_information_score: 3991.2805, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8834, predictive_accuracy: 0.8832, prior_entropy: 0.9956, recall: 0.8832, relative_absolute_error: 0.3885, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2845, root_relative_squared_error: 0.5708, scimark_benchmark: 936.2574, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.9604, kappa: 0.9203, kb_relative_information_score: 5751.4417, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.9606, predictive_accuracy: 0.9605, prior_entropy: 0.9956, recall: 0.9605, relative_absolute_error: 0.0795, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.3988, scimark_benchmark: 908.9569, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.9604, kappa: 0.9203, kb_relative_information_score: 5751.4417, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.9606, predictive_accuracy: 0.9605, prior_entropy: 0.9956, recall: 0.9605, relative_absolute_error: 0.0795, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.3988, scimark_benchmark: 932.438, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.8193, kappa: 0.6392, kb_relative_information_score: 2753.2291, mean_absolute_error: 0.2971, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8465, predictive_accuracy: 0.8245, prior_entropy: 0.9956, recall: 0.8245, relative_absolute_error: 0.5978, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.352, root_relative_squared_error: 0.7061, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.8193, kappa: 0.6392, kb_relative_information_score: 2999.6532, mean_absolute_error: 0.2736, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8465, predictive_accuracy: 0.8245, prior_entropy: 0.9956, recall: 0.8245, relative_absolute_error: 0.5506, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.6925, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.8193, kappa: 0.6392, kb_relative_information_score: 2999.6532, mean_absolute_error: 0.2736, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8465, predictive_accuracy: 0.8245, prior_entropy: 0.9956, recall: 0.8245, relative_absolute_error: 0.5506, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.6925, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.8818, kappa: 0.7619, kb_relative_information_score: 3984.5893, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8819, predictive_accuracy: 0.8819, prior_entropy: 0.9956, recall: 0.8819, relative_absolute_error: 0.3912, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2857, root_relative_squared_error: 0.5732, scimark_benchmark: 933.3455, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9588, kappa: 0.917, kb_relative_information_score: 5104.8929, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.9596, predictive_accuracy: 0.9589, prior_entropy: 0.9956, recall: 0.9589, relative_absolute_error: 0.2051, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.3862, scimark_benchmark: 938.4601, usercpu_time_millis: 1370, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.8193, kappa: 0.6392, kb_relative_information_score: 2999.6532, mean_absolute_error: 0.2736, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8465, predictive_accuracy: 0.8245, prior_entropy: 0.9956, recall: 0.8245, relative_absolute_error: 0.5506, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.6925, scimark_benchmark: 944.0133, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.8109, kappa: 0.6199, kb_relative_information_score: 2861.6531, mean_absolute_error: 0.2864, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8227, predictive_accuracy: 0.8139, prior_entropy: 0.9956, recall: 0.8139, relative_absolute_error: 0.5763, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.7313, scimark_benchmark: 942.2392, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.8835, kappa: 0.7656, kb_relative_information_score: 4622.738, mean_absolute_error: 0.1338, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8835, predictive_accuracy: 0.8835, prior_entropy: 0.9956, recall: 0.8835, relative_absolute_error: 0.2693, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.5247, scimark_benchmark: 938.988, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9709, kappa: 0.9413, kb_relative_information_score: 5204.2704, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.971, predictive_accuracy: 0.9709, prior_entropy: 0.9956, recall: 0.9709, relative_absolute_error: 0.1883, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.3613, scimark_benchmark: 917.5013, usercpu_time_millis: 1280, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9696, kappa: 0.9388, kb_relative_information_score: 5207.3799, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.9697, predictive_accuracy: 0.9696, prior_entropy: 0.9956, recall: 0.9696, relative_absolute_error: 0.1875, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.3604, scimark_benchmark: 936.3373, usercpu_time_millis: 640, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9654, kappa: 0.9304, kb_relative_information_score: 5198.6736, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.9655, predictive_accuracy: 0.9654, prior_entropy: 0.9956, recall: 0.9654, relative_absolute_error: 0.1881, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.3664, scimark_benchmark: 939.8002, usercpu_time_millis: 320, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9611, kappa: 0.9217, kb_relative_information_score: 5186.0402, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.9612, predictive_accuracy: 0.9611, prior_entropy: 0.9956, recall: 0.9611, relative_absolute_error: 0.1887, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.3736, scimark_benchmark: 941.589, usercpu_time_millis: 160, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.955, kappa: 0.9095, kb_relative_information_score: 5180.4797, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.955, predictive_accuracy: 0.955, prior_entropy: 0.9956, recall: 0.955, relative_absolute_error: 0.188, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.3826, scimark_benchmark: 928.821, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 5942.5705, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.99, predictive_accuracy: 0.9898, prior_entropy: 0.9956, recall: 0.9898, relative_absolute_error: 0.0564, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.1891, scimark_benchmark: 936.1714, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9877, kappa: 0.9752, kb_relative_information_score: 5786.4946, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.9879, predictive_accuracy: 0.9877, prior_entropy: 0.9956, recall: 0.9877, relative_absolute_error: 0.085, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.1144, root_relative_squared_error: 0.2294, scimark_benchmark: 930.0565, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9782, kappa: 0.9562, kb_relative_information_score: 5524.5606, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.9784, predictive_accuracy: 0.9782, prior_entropy: 0.9956, recall: 0.9782, relative_absolute_error: 0.1302, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.148, root_relative_squared_error: 0.297, scimark_benchmark: 894.7131, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9691, kappa: 0.9377, kb_relative_information_score: 5226.4679, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.9693, predictive_accuracy: 0.9691, prior_entropy: 0.9956, recall: 0.9691, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.3514, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9112, kappa: 0.821, kb_relative_information_score: 4423.1837, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.9118, predictive_accuracy: 0.9114, prior_entropy: 0.9956, recall: 0.9114, relative_absolute_error: 0.3164, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2553, root_relative_squared_error: 0.5121, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4941, f_measure: 0.3778, kb_relative_information_score: -0.1974, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.2907, predictive_accuracy: 0.5392, prior_entropy: 0.9956, recall: 0.5392, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4985, root_relative_squared_error: 1, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9742, kappa: 0.9481, kb_relative_information_score: 5817.953, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.9743, predictive_accuracy: 0.9742, prior_entropy: 0.9956, recall: 0.9742, relative_absolute_error: 0.073, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.1347, root_relative_squared_error: 0.2702, scimark_benchmark: 941.9549, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8919, kappa: 0.7822, kb_relative_information_score: 3445.0125, mean_absolute_error: 0.2446, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.892, predictive_accuracy: 0.892, prior_entropy: 0.9956, recall: 0.892, relative_absolute_error: 0.4922, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.6091, scimark_benchmark: 1313.8988, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.9604, kappa: 0.9203, kb_relative_information_score: 5751.4417, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.9606, predictive_accuracy: 0.9605, prior_entropy: 0.9956, recall: 0.9605, relative_absolute_error: 0.0795, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.3988, scimark_benchmark: 1338.5214, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.8193, kappa: 0.6392, kb_relative_information_score: 2999.6532, mean_absolute_error: 0.2736, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8465, predictive_accuracy: 0.8245, prior_entropy: 0.9956, recall: 0.8245, relative_absolute_error: 0.5506, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.6925, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.8193, kappa: 0.6392, kb_relative_information_score: 2999.6532, mean_absolute_error: 0.2736, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8465, predictive_accuracy: 0.8245, prior_entropy: 0.9956, recall: 0.8245, relative_absolute_error: 0.5506, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.6925, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.8193, kappa: 0.6392, kb_relative_information_score: 2999.6532, mean_absolute_error: 0.2736, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8465, predictive_accuracy: 0.8245, prior_entropy: 0.9956, recall: 0.8245, relative_absolute_error: 0.5506, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.6925, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9588, kappa: 0.917, kb_relative_information_score: 5104.8929, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.9596, predictive_accuracy: 0.9589, prior_entropy: 0.9956, recall: 0.9589, relative_absolute_error: 0.2051, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.3862, scimark_benchmark: 1313.9976, usercpu_time_millis: 690, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.8193, kappa: 0.6392, kb_relative_information_score: 2999.6532, mean_absolute_error: 0.2736, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8465, predictive_accuracy: 0.8245, prior_entropy: 0.9956, recall: 0.8245, relative_absolute_error: 0.5506, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.6925, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8919, kappa: 0.7822, kb_relative_information_score: 3445.0125, mean_absolute_error: 0.2446, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.892, predictive_accuracy: 0.892, prior_entropy: 0.9956, recall: 0.892, relative_absolute_error: 0.4922, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.6091, scimark_benchmark: 1350.7721, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.8193, kappa: 0.6392, kb_relative_information_score: 2753.2291, mean_absolute_error: 0.2971, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8465, predictive_accuracy: 0.8245, prior_entropy: 0.9956, recall: 0.8245, relative_absolute_error: 0.5978, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.352, root_relative_squared_error: 0.7061, scimark_benchmark: 1333.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.8193, kappa: 0.6392, kb_relative_information_score: 2999.6532, mean_absolute_error: 0.2736, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8465, predictive_accuracy: 0.8245, prior_entropy: 0.9956, recall: 0.8245, relative_absolute_error: 0.5506, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.6925, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.8193, kappa: 0.6392, kb_relative_information_score: 2999.6532, mean_absolute_error: 0.2736, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8465, predictive_accuracy: 0.8245, prior_entropy: 0.9956, recall: 0.8245, relative_absolute_error: 0.5506, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.6925, scimark_benchmark: 1332.7986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.8109, kappa: 0.6199, kb_relative_information_score: 2861.6531, mean_absolute_error: 0.2864, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8227, predictive_accuracy: 0.8139, prior_entropy: 0.9956, recall: 0.8139, relative_absolute_error: 0.5763, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.7313, scimark_benchmark: 1322.1893, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.8835, kappa: 0.7656, kb_relative_information_score: 4622.738, mean_absolute_error: 0.1338, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8835, predictive_accuracy: 0.8835, prior_entropy: 0.9956, recall: 0.8835, relative_absolute_error: 0.2693, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.5247, scimark_benchmark: 1350.8432, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.812, kappa: 0.6239, kb_relative_information_score: 3093.4385, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8348, predictive_accuracy: 0.8168, prior_entropy: 0.9956, recall: 0.8168, relative_absolute_error: 0.5303, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3804, root_relative_squared_error: 0.7631, scimark_benchmark: 1309.4708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9519, kappa: 0.903, kb_relative_information_score: 5257.015, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.9533, predictive_accuracy: 0.952, prior_entropy: 0.9956, recall: 0.952, relative_absolute_error: 0.1718, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.206, root_relative_squared_error: 0.4133, scimark_benchmark: 1324.5762, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.883, kappa: 0.7642, kb_relative_information_score: 3991.2805, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8834, predictive_accuracy: 0.8832, prior_entropy: 0.9956, recall: 0.8832, relative_absolute_error: 0.3885, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2845, root_relative_squared_error: 0.5708, scimark_benchmark: 1321.8132, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.8193, kappa: 0.6392, kb_relative_information_score: 2753.2291, mean_absolute_error: 0.2971, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8465, predictive_accuracy: 0.8245, prior_entropy: 0.9956, recall: 0.8245, relative_absolute_error: 0.5978, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.352, root_relative_squared_error: 0.7061, scimark_benchmark: 1306.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.8193, kappa: 0.6392, kb_relative_information_score: 2999.6532, mean_absolute_error: 0.2736, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8465, predictive_accuracy: 0.8245, prior_entropy: 0.9956, recall: 0.8245, relative_absolute_error: 0.5506, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.6925, scimark_benchmark: 1329.8008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.8835, kappa: 0.7656, kb_relative_information_score: 4622.738, mean_absolute_error: 0.1338, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8835, predictive_accuracy: 0.8835, prior_entropy: 0.9956, recall: 0.8835, relative_absolute_error: 0.2693, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.5247, scimark_benchmark: 1344.3409, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.812, kappa: 0.6239, kb_relative_information_score: 3093.4385, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8348, predictive_accuracy: 0.8168, prior_entropy: 0.9956, recall: 0.8168, relative_absolute_error: 0.5303, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3804, root_relative_squared_error: 0.7631, scimark_benchmark: 1347.7267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.8109, kappa: 0.6199, kb_relative_information_score: 2861.6531, mean_absolute_error: 0.2864, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8227, predictive_accuracy: 0.8139, prior_entropy: 0.9956, recall: 0.8139, relative_absolute_error: 0.5763, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.7313, scimark_benchmark: 1350.0252, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.9604, kappa: 0.9203, kb_relative_information_score: 5751.4417, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.9606, predictive_accuracy: 0.9605, prior_entropy: 0.9956, recall: 0.9605, relative_absolute_error: 0.0795, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.3988, scimark_benchmark: 1333.7879, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.9604, kappa: 0.9203, kb_relative_information_score: 5751.4417, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.9606, predictive_accuracy: 0.9605, prior_entropy: 0.9956, recall: 0.9605, relative_absolute_error: 0.0795, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.3988, scimark_benchmark: 1320.2063, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.8109, kappa: 0.6199, kb_relative_information_score: 2861.6531, mean_absolute_error: 0.2864, mean_prior_absolute_error: 0.4969, number_of_instances: 6250, precision: 0.8227, predictive_accuracy: 0.8139, prior_entropy: 0.9956, recall: 0.8139, relative_absolute_error: 0.5763, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.7313, scimark_benchmark: 1297.2338, usercpu_time_millis: 130, usercpu_time_millis_training: 130,

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