OpenML
Supervised Classification on bank32nh

Supervised Classification on bank32nh

Task 3698 Supervised Classification bank32nh 544 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: 0.4995, f_measure: 0.5629, kb_relative_information_score: -0.2656, mean_absolute_error: 0.4281, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.4755, predictive_accuracy: 0.6896, prior_entropy: 0.8937, recall: 0.6896, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4627, root_relative_squared_error: 1, scimark_benchmark: 940.2922, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, f_measure: 0.8037, kappa: 0.5632, kb_relative_information_score: 2914.6787, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8228, predictive_accuracy: 0.7979, prior_entropy: 0.8937, recall: 0.7979, relative_absolute_error: 0.6447, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.7899, scimark_benchmark: 943.2745, usercpu_time_millis: 690, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.7908, kappa: 0.4995, kb_relative_information_score: 3156.034, mean_absolute_error: 0.2633, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7915, predictive_accuracy: 0.7981, prior_entropy: 0.8937, recall: 0.7981, relative_absolute_error: 0.615, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.8029, scimark_benchmark: 930.32, usercpu_time_millis: 1150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, f_measure: 0.7806, kappa: 0.4718, kb_relative_information_score: 2814.9932, mean_absolute_error: 0.2805, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.785, predictive_accuracy: 0.7919, prior_entropy: 0.8937, recall: 0.7919, relative_absolute_error: 0.6551, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3789, root_relative_squared_error: 0.819, scimark_benchmark: 934.5243, usercpu_time_millis: 1460, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 1400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, f_measure: 0.7811, kappa: 0.4767, kb_relative_information_score: 2978.5567, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.781, predictive_accuracy: 0.7885, prior_entropy: 0.8937, recall: 0.7885, relative_absolute_error: 0.6312, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3834, root_relative_squared_error: 0.8288, scimark_benchmark: 932.3943, usercpu_time_millis: 330, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.7929, kappa: 0.5045, kb_relative_information_score: 3048.0319, mean_absolute_error: 0.2706, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7937, predictive_accuracy: 0.8002, prior_entropy: 0.8937, recall: 0.8002, relative_absolute_error: 0.6321, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.795, scimark_benchmark: 911.0478, usercpu_time_millis: 1110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5629, kb_relative_information_score: 1863.9028, mean_absolute_error: 0.3104, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.4755, predictive_accuracy: 0.6896, prior_entropy: 0.8937, recall: 0.6896, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.5572, root_relative_squared_error: 1.2042, scimark_benchmark: 947.9494, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, f_measure: 0.7579, kappa: 0.4335, kb_relative_information_score: 3074.2751, mean_absolute_error: 0.2553, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7575, predictive_accuracy: 0.7583, prior_entropy: 0.8937, recall: 0.7583, relative_absolute_error: 0.5963, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4712, root_relative_squared_error: 1.0185, scimark_benchmark: 929.0255, usercpu_time_millis: 920, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.857, f_measure: 0.7899, kappa: 0.4997, kb_relative_information_score: 3409.3384, mean_absolute_error: 0.2457, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.789, predictive_accuracy: 0.7952, prior_entropy: 0.8937, recall: 0.7952, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3804, root_relative_squared_error: 0.8222, scimark_benchmark: 930.32, usercpu_time_millis: 66767300, usercpu_time_millis_testing: 22321010, usercpu_time_millis_training: 44446290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.7743, kappa: 0.463, kb_relative_information_score: 2525.0422, mean_absolute_error: 0.2932, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7727, predictive_accuracy: 0.7797, prior_entropy: 0.8937, recall: 0.7797, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.8373, scimark_benchmark: 918.4924, usercpu_time_millis: 132610, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 132550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7128, f_measure: 0.7353, kappa: 0.3585, kb_relative_information_score: 1412.3183, mean_absolute_error: 0.3619, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7456, predictive_accuracy: 0.7568, prior_entropy: 0.8937, recall: 0.7568, relative_absolute_error: 0.8454, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.9089, scimark_benchmark: 917.7039, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5629, kb_relative_information_score: 1863.9028, mean_absolute_error: 0.3104, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.4755, predictive_accuracy: 0.6896, prior_entropy: 0.8937, recall: 0.6896, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.5572, root_relative_squared_error: 1.2042, scimark_benchmark: 932.3943, usercpu_time_millis: 148290, usercpu_time_millis_testing: 27330, usercpu_time_millis_training: 120960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5732, f_measure: 0.658, kappa: 0.1907, kb_relative_information_score: 2767.136, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7954, predictive_accuracy: 0.7339, prior_entropy: 0.8937, recall: 0.7339, relative_absolute_error: 0.6216, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.5159, root_relative_squared_error: 1.115, scimark_benchmark: 941.8057, usercpu_time_millis: 219790, usercpu_time_millis_testing: 15100, usercpu_time_millis_training: 204690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.7981, kappa: 0.5144, kb_relative_information_score: 3029.0684, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8025, predictive_accuracy: 0.8076, prior_entropy: 0.8937, recall: 0.8076, relative_absolute_error: 0.6465, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.7848, scimark_benchmark: 945.6434, usercpu_time_millis: 429760, usercpu_time_millis_testing: 660, usercpu_time_millis_training: 429100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8155, f_measure: 0.788, kappa: 0.4967, kb_relative_information_score: 2998.1875, mean_absolute_error: 0.2729, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7867, predictive_accuracy: 0.7925, prior_entropy: 0.8937, recall: 0.7925, relative_absolute_error: 0.6373, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3908, root_relative_squared_error: 0.8446, scimark_benchmark: 941.7954, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7748, f_measure: 0.8024, kappa: 0.5274, kb_relative_information_score: 4312.4816, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8036, predictive_accuracy: 0.8092, prior_entropy: 0.8937, recall: 0.8092, relative_absolute_error: 0.4444, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4333, root_relative_squared_error: 0.9364, scimark_benchmark: 889.9795, usercpu_time_millis: 217090, usercpu_time_millis_testing: 1060, usercpu_time_millis_training: 216030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7661, f_measure: 0.8046, kappa: 0.5318, kb_relative_information_score: 4356.2292, mean_absolute_error: 0.1882, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8066, predictive_accuracy: 0.8119, prior_entropy: 0.8937, recall: 0.8119, relative_absolute_error: 0.4395, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.432, root_relative_squared_error: 0.9336, scimark_benchmark: 929.566, usercpu_time_millis: 446190, usercpu_time_millis_testing: 2660, usercpu_time_millis_training: 443530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.7642, kappa: 0.4436, kb_relative_information_score: 3476.3752, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7624, predictive_accuracy: 0.767, prior_entropy: 0.8937, recall: 0.767, relative_absolute_error: 0.5395, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4473, root_relative_squared_error: 0.9668, scimark_benchmark: 942.1229, usercpu_time_millis: 49250, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 49220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5098, f_measure: 0.1752, kappa: 0.0123, kb_relative_information_score: -5588.3932, mean_absolute_error: 0.676, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7873, predictive_accuracy: 0.324, prior_entropy: 0.8937, recall: 0.324, relative_absolute_error: 1.579, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.8222, root_relative_squared_error: 1.7771, scimark_benchmark: 917.1386, usercpu_time_millis: 960, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8592, f_measure: 0.7957, kappa: 0.5149, kb_relative_information_score: 3467.0808, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7946, predictive_accuracy: 0.7999, prior_entropy: 0.8937, recall: 0.7999, relative_absolute_error: 0.5698, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3804, root_relative_squared_error: 0.8221, scimark_benchmark: 945.6434, usercpu_time_millis: 19900, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 19840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.7895, kappa: 0.4928, kb_relative_information_score: 2852.8392, mean_absolute_error: 0.2851, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7956, predictive_accuracy: 0.8009, prior_entropy: 0.8937, recall: 0.8009, relative_absolute_error: 0.6658, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7913, scimark_benchmark: 904.3001, usercpu_time_millis: 2940, usercpu_time_millis_testing: 2340, usercpu_time_millis_training: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5732, f_measure: 0.658, kappa: 0.1907, kb_relative_information_score: 2767.136, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7954, predictive_accuracy: 0.7339, prior_entropy: 0.8937, recall: 0.7339, relative_absolute_error: 0.6216, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.5159, root_relative_squared_error: 1.115, scimark_benchmark: 943.2817, usercpu_time_millis: 231100, usercpu_time_millis_testing: 16420, usercpu_time_millis_training: 214680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.8136, kappa: 0.5587, kb_relative_information_score: 4454.1666, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8126, predictive_accuracy: 0.8167, prior_entropy: 0.8937, recall: 0.8167, relative_absolute_error: 0.4282, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.9255, scimark_benchmark: 947.4269, usercpu_time_millis: 1150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, build_cpu_time: 236937.5115, build_memory: 605070455.1572, f_measure: 0.7956, kappa: 0.5156, kb_relative_information_score: 3986.2372, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7943, predictive_accuracy: 0.7992, prior_entropy: 0.8937, recall: 0.7992, relative_absolute_error: 0.4856, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.8877, scimark_benchmark: 938.6131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, build_cpu_time: 121083.7452, build_memory: 644352379.3477, f_measure: 0.7978, kappa: 0.5213, kb_relative_information_score: 3903.4202, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7965, predictive_accuracy: 0.8011, prior_entropy: 0.8937, recall: 0.8011, relative_absolute_error: 0.5013, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.395, root_relative_squared_error: 0.8538, scimark_benchmark: 942.7834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, build_cpu_time: 33.0586, build_memory: 499282292.1787, f_measure: 0.81, kappa: 0.545, kb_relative_information_score: 3245.1952, mean_absolute_error: 0.2686, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8122, predictive_accuracy: 0.817, prior_entropy: 0.8937, recall: 0.817, relative_absolute_error: 0.6273, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3836, root_relative_squared_error: 0.829, scimark_benchmark: 941.8181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, build_cpu_time: 34.7931, build_memory: 1197253392.3115, f_measure: 0.81, kappa: 0.545, kb_relative_information_score: 3245.1952, mean_absolute_error: 0.2686, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8122, predictive_accuracy: 0.817, prior_entropy: 0.8937, recall: 0.817, relative_absolute_error: 0.6273, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3836, root_relative_squared_error: 0.829, scimark_benchmark: 925.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, build_cpu_time: 32.6229, build_memory: 879683807.2002, f_measure: 0.81, kappa: 0.545, kb_relative_information_score: 3245.1952, mean_absolute_error: 0.2686, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8122, predictive_accuracy: 0.817, prior_entropy: 0.8937, recall: 0.817, relative_absolute_error: 0.6273, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3836, root_relative_squared_error: 0.829, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, build_cpu_time: 33.4284, build_memory: 766680143.082, f_measure: 0.81, kappa: 0.545, kb_relative_information_score: 3245.1952, mean_absolute_error: 0.2686, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8122, predictive_accuracy: 0.817, prior_entropy: 0.8937, recall: 0.817, relative_absolute_error: 0.6273, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3836, root_relative_squared_error: 0.829, scimark_benchmark: 939.1359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, build_cpu_time: 6.2374, build_memory: 935308361.8428, f_measure: 0.7794, kappa: 0.4779, kb_relative_information_score: 3482.2638, mean_absolute_error: 0.2341, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7777, predictive_accuracy: 0.7828, prior_entropy: 0.8937, recall: 0.7828, relative_absolute_error: 0.5467, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4247, root_relative_squared_error: 0.918, scimark_benchmark: 923.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, build_cpu_time: 13.1668, build_memory: 1024191808.044, f_measure: 0.782, kappa: 0.4849, kb_relative_information_score: 3694.0051, mean_absolute_error: 0.222, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7804, predictive_accuracy: 0.785, prior_entropy: 0.8937, recall: 0.785, relative_absolute_error: 0.5184, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4319, root_relative_squared_error: 0.9336, scimark_benchmark: 941.7891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, build_cpu_time: 21.6271, build_memory: 345611485.8799, f_measure: 0.7877, kappa: 0.4968, kb_relative_information_score: 3857.0686, mean_absolute_error: 0.2134, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7862, predictive_accuracy: 0.7915, prior_entropy: 0.8937, recall: 0.7915, relative_absolute_error: 0.4984, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4352, root_relative_squared_error: 0.9407, scimark_benchmark: 943.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8168, build_cpu_time: 93.3955, build_memory: 88874998.1924, f_measure: 0.799, kappa: 0.5207, kb_relative_information_score: 4207.1917, mean_absolute_error: 0.1955, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7987, predictive_accuracy: 0.8046, prior_entropy: 0.8937, recall: 0.8046, relative_absolute_error: 0.4566, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4328, root_relative_squared_error: 0.9353, scimark_benchmark: 882.4531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, build_cpu_time: 48.3016, build_memory: 69627896.7178, f_measure: 0.789, kappa: 0.4971, kb_relative_information_score: 4003.6563, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7883, predictive_accuracy: 0.7947, prior_entropy: 0.8937, recall: 0.7947, relative_absolute_error: 0.4802, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.9455, scimark_benchmark: 925.181,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, build_cpu_time: 0.094, build_memory: 443759567.7158, f_measure: 0.788, kappa: 0.489, kb_relative_information_score: 2830.1883, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7946, predictive_accuracy: 0.7998, prior_entropy: 0.8937, recall: 0.7998, relative_absolute_error: 0.6692, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7921, scimark_benchmark: 936.8995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, build_cpu_time: 6.7288, build_memory: 768380167.1035, f_measure: 0.7963, kappa: 0.5103, kb_relative_information_score: 2763.6345, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8006, predictive_accuracy: 0.8059, prior_entropy: 0.8937, recall: 0.8059, relative_absolute_error: 0.6775, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.363, root_relative_squared_error: 0.7847, scimark_benchmark: 936.8995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7468, build_cpu_time: 3.6601, build_memory: 1671657701.5391, f_measure: 0.7853, kappa: 0.4896, kb_relative_information_score: 2570.3958, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7839, predictive_accuracy: 0.79, prior_entropy: 0.8937, recall: 0.79, relative_absolute_error: 0.7065, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.8679, scimark_benchmark: 928.1083,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.756, build_cpu_time: 11.0065, build_memory: 437417713.8535, f_measure: 0.81, kappa: 0.545, kb_relative_information_score: 4461.6314, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8122, predictive_accuracy: 0.817, prior_entropy: 0.8937, recall: 0.817, relative_absolute_error: 0.4274, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.9246, scimark_benchmark: 939.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, build_cpu_time: 1.1708, build_memory: 389250248.9717, f_measure: 0.8136, kappa: 0.5587, kb_relative_information_score: 4454.1666, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8126, predictive_accuracy: 0.8167, prior_entropy: 0.8937, recall: 0.8167, relative_absolute_error: 0.4282, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.9255, scimark_benchmark: 931.9838,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6478, build_cpu_time: 0.0995, build_memory: 348814670.876, f_measure: 0.7211, kappa: 0.3262, kb_relative_information_score: 2864.1776, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7228, predictive_accuracy: 0.7386, prior_entropy: 0.8937, recall: 0.7386, relative_absolute_error: 0.6104, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.5112, root_relative_squared_error: 1.105, scimark_benchmark: 947.5974,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, build_cpu_time: 11.8107, build_memory: 108789816.1006, f_measure: 0.8077, kappa: 0.539, kb_relative_information_score: 4433.9654, mean_absolute_error: 0.1847, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8106, predictive_accuracy: 0.8154, prior_entropy: 0.8937, recall: 0.8154, relative_absolute_error: 0.4315, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.89, scimark_benchmark: 926.9748,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, build_cpu_time: 234.6823, build_memory: 804589752.1689, f_measure: 0.8112, kappa: 0.5481, kb_relative_information_score: 4450.9226, mean_absolute_error: 0.1839, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8133, predictive_accuracy: 0.8181, prior_entropy: 0.8937, recall: 0.8181, relative_absolute_error: 0.4296, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.8873, scimark_benchmark: 929.8923,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8047, build_cpu_time: 428.0054, build_memory: 338158577.8584, f_measure: 0.8117, kappa: 0.5494, kb_relative_information_score: 4453.6875, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8137, predictive_accuracy: 0.8185, prior_entropy: 0.8937, recall: 0.8185, relative_absolute_error: 0.4294, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8857, scimark_benchmark: 935.7354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8094, build_cpu_time: 833.8213, build_memory: 188431019.6094, f_measure: 0.8116, kappa: 0.5491, kb_relative_information_score: 4451.998, mean_absolute_error: 0.1839, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8136, predictive_accuracy: 0.8184, prior_entropy: 0.8937, recall: 0.8184, relative_absolute_error: 0.4296, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.8851, scimark_benchmark: 946.5567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, build_cpu_time: 1589.0201, build_memory: 2208208097.0264, f_measure: 0.8115, kappa: 0.5487, kb_relative_information_score: 4452.6276, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8136, predictive_accuracy: 0.8184, prior_entropy: 0.8937, recall: 0.8184, relative_absolute_error: 0.4297, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.885, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, build_cpu_time: 35.4137, build_memory: 3580260368.5762, f_measure: 0.8014, kappa: 0.5271, kb_relative_information_score: 3117.3386, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.801, predictive_accuracy: 0.8065, prior_entropy: 0.8937, recall: 0.8065, relative_absolute_error: 0.6231, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.7788, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, build_cpu_time: 19.2696, build_memory: 782043294.7109, f_measure: 0.8009, kappa: 0.5257, kb_relative_information_score: 3117.2557, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8005, predictive_accuracy: 0.8062, prior_entropy: 0.8937, recall: 0.8062, relative_absolute_error: 0.6225, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.361, root_relative_squared_error: 0.7802, scimark_benchmark: 939.8999,

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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs