Task
Supervised Classification on fri_c4_250_50

Supervised Classification on fri_c4_250_50

Task 3781 Supervised Classification fri_c4_250_50 600 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, build_cpu_time: 1.1341, build_memory: 174589012, f_measure: 0.8034, kappa: 0.6037, kb_relative_information_score: 151.1588, mean_absolute_error: 0.1955, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8041, predictive_accuracy: 0.804, prior_entropy: 0.9955, recall: 0.804, relative_absolute_error: 0.3935, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.8626, scimark_benchmark: 944.5683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8435, build_cpu_time: 2.4016, build_memory: 947728722.4, f_measure: 0.8079, kappa: 0.613, kb_relative_information_score: 152.8204, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8078, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.388, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.8726, scimark_benchmark: 942.9632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, build_cpu_time: 0.055, build_memory: 1060521674.4, f_measure: 0.7919, kappa: 0.5808, kb_relative_information_score: 137.9371, mean_absolute_error: 0.225, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7918, predictive_accuracy: 0.792, prior_entropy: 0.9955, recall: 0.792, relative_absolute_error: 0.453, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.876, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, build_cpu_time: 0.251, build_memory: 710447668, f_measure: 0.7717, kappa: 0.5402, kb_relative_information_score: 135.4303, mean_absolute_error: 0.2272, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7717, predictive_accuracy: 0.772, prior_entropy: 0.9955, recall: 0.772, relative_absolute_error: 0.4574, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4661, root_relative_squared_error: 0.9352, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, build_cpu_time: 0.13, build_memory: 705550244.8, f_measure: 0.827, kappa: 0.6513, kb_relative_information_score: 72.7809, mean_absolute_error: 0.3756, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8294, predictive_accuracy: 0.828, prior_entropy: 0.9955, recall: 0.828, relative_absolute_error: 0.7561, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4006, root_relative_squared_error: 0.8037, scimark_benchmark: 915.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, build_cpu_time: 0.1116, build_memory: 355701456.8, f_measure: 0.827, kappa: 0.6513, kb_relative_information_score: 72.7809, mean_absolute_error: 0.3756, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8294, predictive_accuracy: 0.828, prior_entropy: 0.9955, recall: 0.828, relative_absolute_error: 0.7561, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4006, root_relative_squared_error: 0.8037, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6128, build_cpu_time: 0.2691, build_memory: 1610734880.8, f_measure: 0.5961, kappa: 0.1873, kb_relative_information_score: 38.556, mean_absolute_error: 0.4217, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.5963, predictive_accuracy: 0.596, prior_entropy: 0.9955, recall: 0.596, relative_absolute_error: 0.8488, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5807, root_relative_squared_error: 1.1652, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6128, build_cpu_time: 0.249, build_memory: 1516025369.6, f_measure: 0.5961, kappa: 0.1873, kb_relative_information_score: 38.556, mean_absolute_error: 0.4217, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.5963, predictive_accuracy: 0.596, prior_entropy: 0.9955, recall: 0.596, relative_absolute_error: 0.8488, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5807, root_relative_squared_error: 1.1652, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6168, build_cpu_time: 0.1879, build_memory: 842789820.8, f_measure: 0.6039, kappa: 0.2024, kb_relative_information_score: 39.7398, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6038, predictive_accuracy: 0.604, prior_entropy: 0.9955, recall: 0.604, relative_absolute_error: 0.8454, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.577, root_relative_squared_error: 1.1577, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, build_cpu_time: 0.0276, build_memory: 355813688.8, f_measure: 0.7838, kappa: 0.5647, kb_relative_information_score: 124.951, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7838, predictive_accuracy: 0.784, prior_entropy: 0.9955, recall: 0.784, relative_absolute_error: 0.5086, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.8917, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6128, build_cpu_time: 0.2288, build_memory: 817903007.2, f_measure: 0.5961, kappa: 0.1873, kb_relative_information_score: 38.556, mean_absolute_error: 0.4217, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.5963, predictive_accuracy: 0.596, prior_entropy: 0.9955, recall: 0.596, relative_absolute_error: 0.8488, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5807, root_relative_squared_error: 1.1652, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6227, build_cpu_time: 0.1119, build_memory: 811108947.2, f_measure: 0.6162, kappa: 0.228, kb_relative_information_score: 42.8617, mean_absolute_error: 0.4153, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6165, predictive_accuracy: 0.616, prior_entropy: 0.9955, recall: 0.616, relative_absolute_error: 0.836, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5569, root_relative_squared_error: 1.1175, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, build_cpu_time: 0.1602, build_memory: 989939764.8, f_measure: 0.7481, kappa: 0.4931, kb_relative_information_score: 121.8887, mean_absolute_error: 0.2537, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7482, predictive_accuracy: 0.748, prior_entropy: 0.9955, recall: 0.748, relative_absolute_error: 0.5106, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4834, root_relative_squared_error: 0.97, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8098, build_cpu_time: 0.4604, build_memory: 766328159.2, f_measure: 0.7557, kappa: 0.5079, kb_relative_information_score: 125.4687, mean_absolute_error: 0.2467, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7557, predictive_accuracy: 0.756, prior_entropy: 0.9955, recall: 0.756, relative_absolute_error: 0.4965, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4855, root_relative_squared_error: 0.974, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5319, f_measure: 0.5318, kappa: 0.0574, kb_relative_information_score: 11.4564, mean_absolute_error: 0.4748, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.5317, predictive_accuracy: 0.532, prior_entropy: 0.9955, recall: 0.532, relative_absolute_error: 0.9556, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5911, root_relative_squared_error: 1.186, scimark_benchmark: 945.6434, usercpu_time_millis: 1340, usercpu_time_millis_testing: 1340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3787, kb_relative_information_score: 17.8777, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.2916, predictive_accuracy: 0.54, prior_entropy: 0.9955, recall: 0.54, relative_absolute_error: 0.9259, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6782, root_relative_squared_error: 1.3608, scimark_benchmark: 941.8057, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6276, f_measure: 0.5992, kappa: 0.1965, kb_relative_information_score: 16.8758, mean_absolute_error: 0.4692, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6062, predictive_accuracy: 0.608, prior_entropy: 0.9955, recall: 0.608, relative_absolute_error: 0.9443, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.486, root_relative_squared_error: 0.9751, scimark_benchmark: 901.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.7912, kappa: 0.5792, kb_relative_information_score: 68.217, mean_absolute_error: 0.3833, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7921, predictive_accuracy: 0.792, prior_entropy: 0.9955, recall: 0.792, relative_absolute_error: 0.7716, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.8173, scimark_benchmark: 947.9494, usercpu_time_millis: 540, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, f_measure: 0.7754, kappa: 0.5474, kb_relative_information_score: 136.3338, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7758, predictive_accuracy: 0.776, prior_entropy: 0.9955, recall: 0.776, relative_absolute_error: 0.4548, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.9262, scimark_benchmark: 929.0255, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5662, build_cpu_time: 0.242, build_memory: 1216202879.2, f_measure: 0.5606, kappa: 0.1177, kb_relative_information_score: 18.8985, mean_absolute_error: 0.4609, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.5618, predictive_accuracy: 0.56, prior_entropy: 0.9955, recall: 0.56, relative_absolute_error: 0.9277, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5601, root_relative_squared_error: 1.1238, scimark_benchmark: 941.7891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5507, f_measure: 0.5418, kappa: 0.0995, kb_relative_information_score: 19.896, mean_absolute_error: 0.456, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.5556, predictive_accuracy: 0.544, prior_entropy: 0.9955, recall: 0.544, relative_absolute_error: 0.9178, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6753, root_relative_squared_error: 1.3549, scimark_benchmark: 947.4269, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3787, kb_relative_information_score: 17.8777, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.2916, predictive_accuracy: 0.54, prior_entropy: 0.9955, recall: 0.54, relative_absolute_error: 0.9259, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6782, root_relative_squared_error: 1.3608, scimark_benchmark: 934.6252, usercpu_time_millis: 80, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.752, kappa: 0.5008, kb_relative_information_score: 128.7762, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.752, predictive_accuracy: 0.752, prior_entropy: 0.9955, recall: 0.752, relative_absolute_error: 0.4822, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.456, root_relative_squared_error: 0.9149, scimark_benchmark: 931.4202, usercpu_time_millis: 660, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.8029, kappa: 0.6027, kb_relative_information_score: 150.1055, mean_absolute_error: 0.1983, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.805, predictive_accuracy: 0.804, prior_entropy: 0.9955, recall: 0.804, relative_absolute_error: 0.399, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4422, root_relative_squared_error: 0.8872, scimark_benchmark: 915.2795, usercpu_time_millis: 4700, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 4670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.8273, kappa: 0.6518, kb_relative_information_score: 120.6795, mean_absolute_error: 0.2741, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8287, predictive_accuracy: 0.828, prior_entropy: 0.9955, recall: 0.828, relative_absolute_error: 0.5518, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.7285, scimark_benchmark: 911.0478, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8122, f_measure: 0.7244, kappa: 0.4491, kb_relative_information_score: 76.7891, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7287, predictive_accuracy: 0.724, prior_entropy: 0.9955, recall: 0.724, relative_absolute_error: 0.7222, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.8438, scimark_benchmark: 902.4773, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8077, kappa: 0.6125, kb_relative_information_score: 134.2251, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8078, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3854, root_relative_squared_error: 0.7733, scimark_benchmark: 915.2795, usercpu_time_millis: 330, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5642, f_measure: 0.5407, kappa: 0.0818, kb_relative_information_score: 15.1748, mean_absolute_error: 0.4689, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.5443, predictive_accuracy: 0.54, prior_entropy: 0.9955, recall: 0.54, relative_absolute_error: 0.9438, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5469, root_relative_squared_error: 1.0973, scimark_benchmark: 902.4773, usercpu_time_millis: 360, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8154, f_measure: 0.7482, kappa: 0.4937, kb_relative_information_score: 115.8974, mean_absolute_error: 0.2681, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7486, predictive_accuracy: 0.748, prior_entropy: 0.9955, recall: 0.748, relative_absolute_error: 0.5395, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4846, root_relative_squared_error: 0.9724, scimark_benchmark: 918.4924, usercpu_time_millis: 660, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3787, kb_relative_information_score: 17.8777, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.2916, predictive_accuracy: 0.54, prior_entropy: 0.9955, recall: 0.54, relative_absolute_error: 0.9259, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6782, root_relative_squared_error: 1.3608, scimark_benchmark: 933.8635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4799, f_measure: 0.3787, kb_relative_information_score: -0.0764, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.2916, predictive_accuracy: 0.54, prior_entropy: 0.9955, recall: 0.54, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.0002, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.7868, kappa: 0.5702, kb_relative_information_score: 142.9607, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7888, predictive_accuracy: 0.788, prior_entropy: 0.9955, recall: 0.788, relative_absolute_error: 0.4269, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4576, root_relative_squared_error: 0.9182, scimark_benchmark: 889.9795, usercpu_time_millis: 2430, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, build_cpu_time: 0.5708, build_memory: 1160886705.6, f_measure: 0.7959, kappa: 0.5891, kb_relative_information_score: 146.7453, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7959, predictive_accuracy: 0.796, prior_entropy: 0.9955, recall: 0.796, relative_absolute_error: 0.4129, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4264, root_relative_squared_error: 0.8555, scimark_benchmark: 940.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, build_cpu_time: 4.4136, build_memory: 1737656893.6, f_measure: 0.7995, kappa: 0.5959, kb_relative_information_score: 149.1772, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7999, predictive_accuracy: 0.8, prior_entropy: 0.9955, recall: 0.8, relative_absolute_error: 0.4019, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.8891, scimark_benchmark: 909.9339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, build_cpu_time: 11.3661, build_memory: 1665833107.2, f_measure: 0.8029, kappa: 0.6027, kb_relative_information_score: 151.8288, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.805, predictive_accuracy: 0.804, prior_entropy: 0.9955, recall: 0.804, relative_absolute_error: 0.3914, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8792, scimark_benchmark: 945.9825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8723, build_cpu_time: 26.9002, build_memory: 79207817.6, f_measure: 0.7956, kappa: 0.588, kb_relative_information_score: 104.2967, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7958, predictive_accuracy: 0.796, prior_entropy: 0.9955, recall: 0.796, relative_absolute_error: 0.6156, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.7657, scimark_benchmark: 937.9492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, build_cpu_time: 15.0072, build_memory: 68386905.6, f_measure: 0.7713, kappa: 0.539, kb_relative_information_score: 102.5743, mean_absolute_error: 0.3082, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7718, predictive_accuracy: 0.772, prior_entropy: 0.9955, recall: 0.772, relative_absolute_error: 0.6203, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3862, root_relative_squared_error: 0.7748, scimark_benchmark: 927.6413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, build_cpu_time: 0.2282, build_memory: 102553402.4, f_measure: 0.8431, kappa: 0.6838, kb_relative_information_score: 122.6751, mean_absolute_error: 0.2703, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8456, predictive_accuracy: 0.844, prior_entropy: 0.9955, recall: 0.844, relative_absolute_error: 0.5441, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.715, scimark_benchmark: 941.6082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, build_cpu_time: 0.4468, build_memory: 3755976260.8, f_measure: 0.8353, kappa: 0.668, kb_relative_information_score: 123.8493, mean_absolute_error: 0.2695, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8368, predictive_accuracy: 0.836, prior_entropy: 0.9955, recall: 0.836, relative_absolute_error: 0.5424, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7081, scimark_benchmark: 924.9924,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, build_cpu_time: 4.962, build_memory: 387140377.6, f_measure: 0.8343, kappa: 0.6662, kb_relative_information_score: 110.4667, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8406, predictive_accuracy: 0.836, prior_entropy: 0.9955, recall: 0.836, relative_absolute_error: 0.5997, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.7237, scimark_benchmark: 928.5258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, build_cpu_time: 0.4588, build_memory: 466427155.2, f_measure: 0.819, kappa: 0.6351, kb_relative_information_score: 108.3684, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8212, predictive_accuracy: 0.82, prior_entropy: 0.9955, recall: 0.82, relative_absolute_error: 0.609, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.7281, scimark_benchmark: 938.2576,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5751, build_cpu_time: 5.1382, build_memory: 3393539224.8, f_measure: 0.5683, kappa: 0.1316, kb_relative_information_score: 20.4227, mean_absolute_error: 0.459, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.5686, predictive_accuracy: 0.568, prior_entropy: 0.9955, recall: 0.568, relative_absolute_error: 0.9239, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5455, root_relative_squared_error: 1.0945, scimark_benchmark: 945.7067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.571, build_cpu_time: 2.4654, build_memory: 1256991164, f_measure: 0.5603, kappa: 0.1155, kb_relative_information_score: 18.8864, mean_absolute_error: 0.4622, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.5606, predictive_accuracy: 0.56, prior_entropy: 0.9955, recall: 0.56, relative_absolute_error: 0.9303, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5487, root_relative_squared_error: 1.1009, scimark_benchmark: 937.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.548, build_cpu_time: 0.3374, build_memory: 370698293.6, f_measure: 0.5517, kappa: 0.0971, kb_relative_information_score: 14.9504, mean_absolute_error: 0.4692, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.5514, predictive_accuracy: 0.552, prior_entropy: 0.9955, recall: 0.552, relative_absolute_error: 0.9444, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5759, root_relative_squared_error: 1.1555, scimark_benchmark: 926.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.55, build_cpu_time: 0.5134, build_memory: 97074354.4, f_measure: 0.5407, kappa: 0.0806, kb_relative_information_score: 13.0249, mean_absolute_error: 0.4704, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.5435, predictive_accuracy: 0.54, prior_entropy: 0.9955, recall: 0.54, relative_absolute_error: 0.9468, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5594, root_relative_squared_error: 1.1225, scimark_benchmark: 926.9748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.55, build_cpu_time: 0.569, build_memory: 394739822.4, f_measure: 0.5407, kappa: 0.0806, kb_relative_information_score: 13.0249, mean_absolute_error: 0.4704, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.5435, predictive_accuracy: 0.54, prior_entropy: 0.9955, recall: 0.54, relative_absolute_error: 0.9468, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5594, root_relative_squared_error: 1.1225, scimark_benchmark: 921.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5773, build_cpu_time: 0.0533, build_memory: 115555860.8, f_measure: 0.5711, kappa: 0.1521, kb_relative_information_score: 34.024, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.5819, predictive_accuracy: 0.572, prior_entropy: 0.9955, recall: 0.572, relative_absolute_error: 0.8615, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6542, root_relative_squared_error: 1.3126, scimark_benchmark: 939.7937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5773, build_cpu_time: 0.0735, build_memory: 773750172, f_measure: 0.5711, kappa: 0.1521, kb_relative_information_score: 34.024, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.5819, predictive_accuracy: 0.572, prior_entropy: 0.9955, recall: 0.572, relative_absolute_error: 0.8615, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6542, root_relative_squared_error: 1.3126, scimark_benchmark: 937.2747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5773, build_cpu_time: 0.0676, build_memory: 1400632192, f_measure: 0.5711, kappa: 0.1521, kb_relative_information_score: 34.024, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.5819, predictive_accuracy: 0.572, prior_entropy: 0.9955, recall: 0.572, relative_absolute_error: 0.8615, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6542, root_relative_squared_error: 1.3126, scimark_benchmark: 938.6729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6554, build_cpu_time: 0.003, build_memory: 499695061.6, f_measure: 0.6404, kappa: 0.2772, kb_relative_information_score: 44.7054, mean_absolute_error: 0.4161, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6411, predictive_accuracy: 0.64, prior_entropy: 0.9955, recall: 0.64, relative_absolute_error: 0.8375, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.504, root_relative_squared_error: 1.0112, scimark_benchmark: 946.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, build_cpu_time: 0.1476, build_memory: 761858415.2, f_measure: 0.8155, kappa: 0.6282, kb_relative_information_score: 67.6771, mean_absolute_error: 0.3853, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.816, predictive_accuracy: 0.816, prior_entropy: 0.9955, recall: 0.816, relative_absolute_error: 0.7755, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.8152, scimark_benchmark: 941.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, build_cpu_time: 0.1882, build_memory: 27540480.8, f_measure: 0.8155, kappa: 0.6282, kb_relative_information_score: 67.6771, mean_absolute_error: 0.3853, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.816, predictive_accuracy: 0.816, prior_entropy: 0.9955, recall: 0.816, relative_absolute_error: 0.7755, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.8152, scimark_benchmark: 931.0999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8834, build_cpu_time: 0.1104, build_memory: 1965061369.6, f_measure: 0.7835, kappa: 0.5635, kb_relative_information_score: 106.0543, mean_absolute_error: 0.3048, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7838, predictive_accuracy: 0.784, prior_entropy: 0.9955, recall: 0.784, relative_absolute_error: 0.6135, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7486, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, build_cpu_time: 0.0434, build_memory: 3380894347.2, f_measure: 0.7799, kappa: 0.5569, kb_relative_information_score: 65.8479, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7799, predictive_accuracy: 0.78, prior_entropy: 0.9955, recall: 0.78, relative_absolute_error: 0.7769, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4151, root_relative_squared_error: 0.8329, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, build_cpu_time: 0.0433, build_memory: 741824504, f_measure: 0.7799, kappa: 0.5569, kb_relative_information_score: 65.8479, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7799, predictive_accuracy: 0.78, prior_entropy: 0.9955, recall: 0.78, relative_absolute_error: 0.7769, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4151, root_relative_squared_error: 0.8329, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, build_cpu_time: 0.0219, build_memory: 597458246.4, f_measure: 0.7363, kappa: 0.474, kb_relative_information_score: 69.4407, mean_absolute_error: 0.3764, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7426, predictive_accuracy: 0.736, prior_entropy: 0.9955, recall: 0.736, relative_absolute_error: 0.7576, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8353, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, build_cpu_time: 0.0346, build_memory: 2236204433.6, f_measure: 0.7363, kappa: 0.474, kb_relative_information_score: 69.4407, mean_absolute_error: 0.3764, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7426, predictive_accuracy: 0.736, prior_entropy: 0.9955, recall: 0.736, relative_absolute_error: 0.7576, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8353, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8987, build_cpu_time: 0.2062, build_memory: 1176404433.6, f_measure: 0.8151, kappa: 0.6272, kb_relative_information_score: 108.8176, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8169, predictive_accuracy: 0.816, prior_entropy: 0.9955, recall: 0.816, relative_absolute_error: 0.6055, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7292, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5562, build_cpu_time: 0.6304, build_memory: 849728615.2, f_measure: 0.5641, kappa: 0.1229, kb_relative_information_score: 15.2804, mean_absolute_error: 0.4682, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.5643, predictive_accuracy: 0.564, prior_entropy: 0.9955, recall: 0.564, relative_absolute_error: 0.9424, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5595, root_relative_squared_error: 1.1226, scimark_benchmark: 919.3675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, build_cpu_time: 0.8118, build_memory: 691160194.4, f_measure: 0.8149, kappa: 0.6267, kb_relative_information_score: 110.8925, mean_absolute_error: 0.2969, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8175, predictive_accuracy: 0.816, prior_entropy: 0.9955, recall: 0.816, relative_absolute_error: 0.5975, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.7241, scimark_benchmark: 946.7087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5557, build_cpu_time: 1.2923, build_memory: 189869436, f_measure: 0.5677, kappa: 0.1293, kb_relative_information_score: 15.1942, mean_absolute_error: 0.4686, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.5675, predictive_accuracy: 0.568, prior_entropy: 0.9955, recall: 0.568, relative_absolute_error: 0.9432, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5557, root_relative_squared_error: 1.115, scimark_benchmark: 934.1538,

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