OpenML
Supervised Classification on tae

Supervised Classification on tae

Task 3818 Supervised Classification tae 803 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: 0.7999, build_cpu_time: 2.2747, build_memory: 67703573.8278, f_measure: 0.8065, kappa: 0.5688, kb_relative_information_score: 74.8225, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.8058, predictive_accuracy: 0.8079, prior_entropy: 0.9308, recall: 0.8079, relative_absolute_error: 0.4942, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.9288, scimark_benchmark: 935.1241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, build_cpu_time: 2.2587, build_memory: 2171329027.9735, f_measure: 0.8065, kappa: 0.5688, kb_relative_information_score: 74.7677, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.8058, predictive_accuracy: 0.8079, prior_entropy: 0.9308, recall: 0.8079, relative_absolute_error: 0.4947, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4412, root_relative_squared_error: 0.9285, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7898, build_cpu_time: 1.5528, build_memory: 1221323262.7285, f_measure: 0.7871, kappa: 0.5264, kb_relative_information_score: 71.5632, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7863, predictive_accuracy: 0.7881, prior_entropy: 0.9308, recall: 0.7881, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.447, root_relative_squared_error: 0.9408, scimark_benchmark: 907.4175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7858, build_cpu_time: 0.6467, build_memory: 155094161.2185, f_measure: 0.792, kappa: 0.5347, kb_relative_information_score: 70.6117, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7913, predictive_accuracy: 0.7947, prior_entropy: 0.9308, recall: 0.7947, relative_absolute_error: 0.5227, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.9165, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, build_cpu_time: 0.1092, build_memory: 223916217.1656, f_measure: 0.7312, kappa: 0.4121, kb_relative_information_score: 57.8544, mean_absolute_error: 0.2682, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7355, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.5932, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4778, root_relative_squared_error: 1.0056, scimark_benchmark: 922.3661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, build_cpu_time: 0.2095, build_memory: 396500043.1258, f_measure: 0.7434, kappa: 0.4358, kb_relative_information_score: 60.4973, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7456, predictive_accuracy: 0.7417, prior_entropy: 0.9308, recall: 0.7417, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4874, root_relative_squared_error: 1.0258, scimark_benchmark: 937.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7613, build_cpu_time: 0.3033, build_memory: 937242137.9073, f_measure: 0.7513, kappa: 0.4576, kb_relative_information_score: 61.1563, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7566, predictive_accuracy: 0.7483, prior_entropy: 0.9308, recall: 0.7483, relative_absolute_error: 0.5721, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4883, root_relative_squared_error: 1.0276, scimark_benchmark: 924.2473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7616, build_cpu_time: 0.2953, build_memory: 667890741.5629, f_measure: 0.7513, kappa: 0.4576, kb_relative_information_score: 61.2849, mean_absolute_error: 0.2583, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7566, predictive_accuracy: 0.7483, prior_entropy: 0.9308, recall: 0.7483, relative_absolute_error: 0.5712, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4879, root_relative_squared_error: 1.0269, scimark_benchmark: 944.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, build_cpu_time: 0.0197, build_memory: 319642124.6623, f_measure: 0.6954, kappa: 0.3254, kb_relative_information_score: 31.5386, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6954, predictive_accuracy: 0.6954, prior_entropy: 0.9308, recall: 0.6954, relative_absolute_error: 0.7834, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4704, root_relative_squared_error: 0.9901, scimark_benchmark: 945.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, build_cpu_time: 0.0177, build_memory: 1687574931.5497, f_measure: 0.6954, kappa: 0.3254, kb_relative_information_score: 31.5386, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6954, predictive_accuracy: 0.6954, prior_entropy: 0.9308, recall: 0.6954, relative_absolute_error: 0.7834, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4704, root_relative_squared_error: 0.9901, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, build_cpu_time: 0.0183, build_memory: 716380875.5497, f_measure: 0.6954, kappa: 0.3254, kb_relative_information_score: 31.5386, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6954, predictive_accuracy: 0.6954, prior_entropy: 0.9308, recall: 0.6954, relative_absolute_error: 0.7834, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4704, root_relative_squared_error: 0.9901, scimark_benchmark: 943.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, build_cpu_time: 0.0252, build_memory: 1066928007.3113, f_measure: 0.6954, kappa: 0.3254, kb_relative_information_score: 31.5386, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6954, predictive_accuracy: 0.6954, prior_entropy: 0.9308, recall: 0.6954, relative_absolute_error: 0.7834, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4704, root_relative_squared_error: 0.9901, scimark_benchmark: 933.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6701, build_cpu_time: 0.0143, build_memory: 461356128.6887, f_measure: 0.6806, kappa: 0.2896, kb_relative_information_score: 29.2685, mean_absolute_error: 0.3603, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6793, predictive_accuracy: 0.6821, prior_entropy: 0.9308, recall: 0.6821, relative_absolute_error: 0.7969, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9982, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7387, build_cpu_time: 0.0099, build_memory: 190210957.9338, f_measure: 0.7309, kappa: 0.3968, kb_relative_information_score: 44.7956, mean_absolute_error: 0.3136, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7291, predictive_accuracy: 0.7351, prior_entropy: 0.9308, recall: 0.7351, relative_absolute_error: 0.6936, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9637, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7366, build_cpu_time: 0.0121, build_memory: 967362030.9934, f_measure: 0.7309, kappa: 0.3968, kb_relative_information_score: 44.6826, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7291, predictive_accuracy: 0.7351, prior_entropy: 0.9308, recall: 0.7351, relative_absolute_error: 0.6946, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4564, root_relative_squared_error: 0.9605, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7366, build_cpu_time: 0.0083, build_memory: 1923652565.457, f_measure: 0.7309, kappa: 0.3968, kb_relative_information_score: 44.6826, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7291, predictive_accuracy: 0.7351, prior_entropy: 0.9308, recall: 0.7351, relative_absolute_error: 0.6946, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4564, root_relative_squared_error: 0.9605, scimark_benchmark: 934.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7366, build_cpu_time: 0.0104, build_memory: 698723269.8278, f_measure: 0.7309, kappa: 0.3968, kb_relative_information_score: 44.6826, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7291, predictive_accuracy: 0.7351, prior_entropy: 0.9308, recall: 0.7351, relative_absolute_error: 0.6946, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4564, root_relative_squared_error: 0.9605, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7366, build_cpu_time: 0.0161, build_memory: 170068510.4636, f_measure: 0.7309, kappa: 0.3968, kb_relative_information_score: 44.6826, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7291, predictive_accuracy: 0.7351, prior_entropy: 0.9308, recall: 0.7351, relative_absolute_error: 0.6946, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4564, root_relative_squared_error: 0.9605, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7369, build_cpu_time: 0.473, build_memory: 441519527.6291, f_measure: 0.7544, kappa: 0.4549, kb_relative_information_score: 66.0816, mean_absolute_error: 0.245, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7539, predictive_accuracy: 0.755, prior_entropy: 0.9308, recall: 0.755, relative_absolute_error: 0.5419, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4871, root_relative_squared_error: 1.0252, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7369, build_cpu_time: 0.3382, build_memory: 572591912.3179, f_measure: 0.7544, kappa: 0.4549, kb_relative_information_score: 66.0788, mean_absolute_error: 0.245, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7539, predictive_accuracy: 0.755, prior_entropy: 0.9308, recall: 0.755, relative_absolute_error: 0.5419, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4872, root_relative_squared_error: 1.0252, scimark_benchmark: 945.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7412, build_cpu_time: 0.1185, build_memory: 234479972.9801, f_measure: 0.7544, kappa: 0.4549, kb_relative_information_score: 66.0725, mean_absolute_error: 0.245, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7539, predictive_accuracy: 0.755, prior_entropy: 0.9308, recall: 0.755, relative_absolute_error: 0.5419, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4872, root_relative_squared_error: 1.0253, scimark_benchmark: 939.7233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7046, build_cpu_time: 0.0374, build_memory: 817163417.1656, f_measure: 0.6762, kappa: 0.265, kb_relative_information_score: 31.4923, mean_absolute_error: 0.3635, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6789, predictive_accuracy: 0.6954, prior_entropy: 0.9308, recall: 0.6954, relative_absolute_error: 0.8038, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4515, root_relative_squared_error: 0.9501, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7677, build_cpu_time: 0.2662, build_memory: 1611389988.8742, f_measure: 0.7616, kappa: 0.472, kb_relative_information_score: 66.6124, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7616, predictive_accuracy: 0.7616, prior_entropy: 0.9308, recall: 0.7616, relative_absolute_error: 0.5363, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4691, root_relative_squared_error: 0.9872, scimark_benchmark: 937.8022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7718, build_cpu_time: 0.2563, build_memory: 789295168.5828, f_measure: 0.7677, kappa: 0.4843, kb_relative_information_score: 67.5255, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7672, predictive_accuracy: 0.7682, prior_entropy: 0.9308, recall: 0.7682, relative_absolute_error: 0.5312, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4654, root_relative_squared_error: 0.9795, scimark_benchmark: 939.6177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7561, build_cpu_time: 0.1176, build_memory: 697273662.6755, f_measure: 0.7616, kappa: 0.472, kb_relative_information_score: 68.1877, mean_absolute_error: 0.2387, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7616, predictive_accuracy: 0.7616, prior_entropy: 0.9308, recall: 0.7616, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4622, root_relative_squared_error: 0.9727, scimark_benchmark: 939.4513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7528, build_cpu_time: 0.0653, build_memory: 2442565111.3642, f_measure: 0.7592, kappa: 0.4622, kb_relative_information_score: 62.5236, mean_absolute_error: 0.2576, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7579, predictive_accuracy: 0.7616, prior_entropy: 0.9308, recall: 0.7616, relative_absolute_error: 0.5697, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4618, root_relative_squared_error: 0.9718, scimark_benchmark: 892.0716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0253, build_memory: 2167157504.6887, f_measure: 0.1764, kb_relative_information_score: -77.2279, mean_absolute_error: 0.6556, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.1186, predictive_accuracy: 0.3444, prior_entropy: 0.9308, recall: 0.3444, relative_absolute_error: 1.4499, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.8097, root_relative_squared_error: 1.7041, scimark_benchmark: 933.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7398, build_cpu_time: 0.0355, build_memory: 2076613429.5629, f_measure: 0.7626, kappa: 0.4768, kb_relative_information_score: 59.2733, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7639, predictive_accuracy: 0.7616, prior_entropy: 0.9308, recall: 0.7616, relative_absolute_error: 0.5995, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9638, scimark_benchmark: 909.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5967, build_cpu_time: 0.0006, build_memory: 1944141088.9007, f_measure: 0.7215, kappa: 0.3729, kb_relative_information_score: 21.5404, mean_absolute_error: 0.3959, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7201, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.8756, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.9473, scimark_benchmark: 918.4301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, build_cpu_time: 0.04, build_memory: 110988039.2583, f_measure: 0.7881, kappa: 0.5307, kb_relative_information_score: 53.2564, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7881, predictive_accuracy: 0.7881, prior_entropy: 0.9308, recall: 0.7881, relative_absolute_error: 0.6544, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8665, scimark_benchmark: 946.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6123, build_cpu_time: 0.0024, build_memory: 556722727.4702, f_measure: 0.6943, kappa: 0.3118, kb_relative_information_score: 22.1719, mean_absolute_error: 0.3901, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6919, predictive_accuracy: 0.702, prior_entropy: 0.9308, recall: 0.702, relative_absolute_error: 0.8627, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.9787, scimark_benchmark: 936.8995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7012, build_memory: 42476792, f_measure: 0.7687, kappa: 0.489, kb_relative_information_score: 65.2687, mean_absolute_error: 0.2485, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7693, predictive_accuracy: 0.7682, prior_entropy: 0.9308, recall: 0.7682, relative_absolute_error: 0.5495, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4843, root_relative_squared_error: 1.0192, scimark_benchmark: 920.2722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0059, build_memory: 1126782961.8013, f_measure: 0.5193, kb_relative_information_score: 30.9792, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.4299, predictive_accuracy: 0.6556, prior_entropy: 0.9308, recall: 0.6556, relative_absolute_error: 0.7616, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5868, root_relative_squared_error: 1.235, scimark_benchmark: 935.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5351, build_cpu_time: 0.0066, build_memory: 128008180.9272, f_measure: 0.5938, kappa: 0.08, kb_relative_information_score: 24.0724, mean_absolute_error: 0.3642, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.5938, predictive_accuracy: 0.6358, prior_entropy: 0.9308, recall: 0.6358, relative_absolute_error: 0.8055, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.6035, root_relative_squared_error: 1.2701, scimark_benchmark: 946.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5447, build_cpu_time: 0.0087, build_memory: 490383936, f_measure: 0.6035, kappa: 0.1014, kb_relative_information_score: 26.3747, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6048, predictive_accuracy: 0.6424, prior_entropy: 0.9308, recall: 0.6424, relative_absolute_error: 0.7908, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.598, root_relative_squared_error: 1.2585, scimark_benchmark: 948.6597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6439, build_cpu_time: 0.0018, build_memory: 288685440, f_measure: 0.693, kappa: 0.3039, kb_relative_information_score: 17.6834, mean_absolute_error: 0.4031, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.695, predictive_accuracy: 0.7086, prior_entropy: 0.9308, recall: 0.7086, relative_absolute_error: 0.8914, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9664, scimark_benchmark: 945.7844,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, build_cpu_time: 0.0203, build_memory: 712132123.7086, f_measure: 0.6735, kappa: 0.26, kb_relative_information_score: 18.8265, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6728, predictive_accuracy: 0.6887, prior_entropy: 0.9308, recall: 0.6887, relative_absolute_error: 0.8874, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.446, root_relative_squared_error: 0.9385, scimark_benchmark: 940.8364,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, build_cpu_time: 0.0057, build_memory: 26164145.1656, f_measure: 0.693, kappa: 0.3039, kb_relative_information_score: 19.6402, mean_absolute_error: 0.3982, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.695, predictive_accuracy: 0.7086, prior_entropy: 0.9308, recall: 0.7086, relative_absolute_error: 0.8805, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4468, root_relative_squared_error: 0.9402, scimark_benchmark: 942.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6702, build_cpu_time: 0.0019, build_memory: 1873895836.3974, f_measure: 0.6735, kappa: 0.26, kb_relative_information_score: 20.4435, mean_absolute_error: 0.3946, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6728, predictive_accuracy: 0.6887, prior_entropy: 0.9308, recall: 0.6887, relative_absolute_error: 0.8727, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4505, root_relative_squared_error: 0.9481, scimark_benchmark: 944.9147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7397, build_cpu_time: 0.2808, build_memory: 2463068117.245, f_measure: 0.7274, kappa: 0.3853, kb_relative_information_score: 37.2104, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7266, predictive_accuracy: 0.7351, prior_entropy: 0.9308, recall: 0.7351, relative_absolute_error: 0.7657, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.9009, scimark_benchmark: 821.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7486, build_cpu_time: 0.6904, build_memory: 1057228727.6291, f_measure: 0.7232, kappa: 0.3733, kb_relative_information_score: 38.2493, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7255, predictive_accuracy: 0.7351, prior_entropy: 0.9308, recall: 0.7351, relative_absolute_error: 0.7607, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.8941, scimark_benchmark: 942.3742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7558, build_cpu_time: 1.4892, build_memory: 103485678.7815, f_measure: 0.7174, kappa: 0.3608, kb_relative_information_score: 35.1211, mean_absolute_error: 0.3525, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7183, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.7796, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.8967, scimark_benchmark: 1212.2248,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.765, build_cpu_time: 4.8554, build_memory: 403237596.2384, f_measure: 0.7037, kappa: 0.3296, kb_relative_information_score: 34.7667, mean_absolute_error: 0.3531, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7036, predictive_accuracy: 0.7152, prior_entropy: 0.9308, recall: 0.7152, relative_absolute_error: 0.7808, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.893, scimark_benchmark: 943.3898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, build_cpu_time: 0.3374, build_memory: 219026180.4503, f_measure: 0.7423, kappa: 0.4306, kb_relative_information_score: 60.5191, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7429, predictive_accuracy: 0.7417, prior_entropy: 0.9308, recall: 0.7417, relative_absolute_error: 0.5737, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5033, root_relative_squared_error: 1.0591, scimark_benchmark: 909.9339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7815, build_cpu_time: 0.2154, build_memory: 1110087098.2252, f_measure: 0.7411, kappa: 0.4254, kb_relative_information_score: 62.2128, mean_absolute_error: 0.2552, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7406, predictive_accuracy: 0.7417, prior_entropy: 0.9308, recall: 0.7417, relative_absolute_error: 0.5643, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4943, root_relative_squared_error: 1.0402, scimark_benchmark: 945.8914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7845, build_cpu_time: 0.0869, build_memory: 860143422.3576, f_measure: 0.7338, kappa: 0.408, kb_relative_information_score: 59.2372, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7328, predictive_accuracy: 0.7351, prior_entropy: 0.9308, recall: 0.7351, relative_absolute_error: 0.5783, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.497, root_relative_squared_error: 1.046, scimark_benchmark: 938.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7659, build_cpu_time: 0.0448, build_memory: 220093018.8609, f_measure: 0.7683, kappa: 0.4775, kb_relative_information_score: 69.0117, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7693, predictive_accuracy: 0.7748, prior_entropy: 0.9308, recall: 0.7748, relative_absolute_error: 0.5255, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4593, root_relative_squared_error: 0.9667, scimark_benchmark: 943.8925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, build_cpu_time: 0.0284, build_memory: 366103773.7748, f_measure: 0.745, kappa: 0.4231, kb_relative_information_score: 64.101, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7477, predictive_accuracy: 0.755, prior_entropy: 0.9308, recall: 0.755, relative_absolute_error: 0.5483, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4652, root_relative_squared_error: 0.979, scimark_benchmark: 945.0342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, build_cpu_time: 0.0231, build_memory: 1192081622.3046, f_measure: 0.745, kappa: 0.4231, kb_relative_information_score: 64.101, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7477, predictive_accuracy: 0.755, prior_entropy: 0.9308, recall: 0.755, relative_absolute_error: 0.5483, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4652, root_relative_squared_error: 0.979, scimark_benchmark: 942.6202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7541, build_cpu_time: 0.5613, build_memory: 131360316.6093, f_measure: 0.7254, kappa: 0.3794, kb_relative_information_score: 34.1612, mean_absolute_error: 0.3534, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7259, predictive_accuracy: 0.7351, prior_entropy: 0.9308, recall: 0.7351, relative_absolute_error: 0.7816, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.9001, scimark_benchmark: 919.5447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7677, build_cpu_time: 0.1494, build_memory: 366752801.9073, f_measure: 0.7546, kappa: 0.4468, kb_relative_information_score: 39.2139, mean_absolute_error: 0.339, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7551, predictive_accuracy: 0.7616, prior_entropy: 0.9308, recall: 0.7616, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4229, root_relative_squared_error: 0.89, scimark_benchmark: 937.2988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7677, build_cpu_time: 0.144, build_memory: 1160813269.8808, f_measure: 0.7546, kappa: 0.4468, kb_relative_information_score: 39.2139, mean_absolute_error: 0.339, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7551, predictive_accuracy: 0.7616, prior_entropy: 0.9308, recall: 0.7616, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4229, root_relative_squared_error: 0.89, scimark_benchmark: 943.7049,

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