OpenML
Supervised Classification on fri_c0_250_50

Supervised Classification on fri_c0_250_50

Task 3598 Supervised Classification fri_c0_250_50 543 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: 0.8659, build_cpu_time: 0.1393, build_memory: 801521130.4, f_measure: 0.7664, kappa: 0.5307, kb_relative_information_score: 55.6252, mean_absolute_error: 0.4066, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7698, predictive_accuracy: 0.768, prior_entropy: 0.9971, recall: 0.768, relative_absolute_error: 0.8166, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.8485, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, build_cpu_time: 0.1193, build_memory: 756077032.8, f_measure: 0.7664, kappa: 0.5307, kb_relative_information_score: 55.6252, mean_absolute_error: 0.4066, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7698, predictive_accuracy: 0.768, prior_entropy: 0.9971, recall: 0.768, relative_absolute_error: 0.8166, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.8485, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, build_cpu_time: 0.136, build_memory: 310967216, f_measure: 0.7664, kappa: 0.5307, kb_relative_information_score: 55.6252, mean_absolute_error: 0.4066, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7698, predictive_accuracy: 0.768, prior_entropy: 0.9971, recall: 0.768, relative_absolute_error: 0.8166, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.8485, scimark_benchmark: 920.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, build_cpu_time: 0.1145, build_memory: 1997368904.8, f_measure: 0.7664, kappa: 0.5307, kb_relative_information_score: 55.6252, mean_absolute_error: 0.4066, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7698, predictive_accuracy: 0.768, prior_entropy: 0.9971, recall: 0.768, relative_absolute_error: 0.8166, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.8485, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, build_cpu_time: 0.1113, build_memory: 962970688.8, f_measure: 0.7664, kappa: 0.5307, kb_relative_information_score: 55.6252, mean_absolute_error: 0.4066, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7698, predictive_accuracy: 0.768, prior_entropy: 0.9971, recall: 0.768, relative_absolute_error: 0.8166, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.8485, scimark_benchmark: 892.8005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7107, build_cpu_time: 0.4641, build_memory: 591909528.8, f_measure: 0.6821, kappa: 0.3611, kb_relative_information_score: 88.8058, mean_absolute_error: 0.321, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6839, predictive_accuracy: 0.684, prior_entropy: 0.9971, recall: 0.684, relative_absolute_error: 0.6446, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5542, root_relative_squared_error: 1.1106, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6691, build_cpu_time: 0.241, build_memory: 830381504.8, f_measure: 0.6418, kappa: 0.2803, kb_relative_information_score: 72.0255, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6432, predictive_accuracy: 0.644, prior_entropy: 0.9971, recall: 0.644, relative_absolute_error: 0.7114, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5708, root_relative_squared_error: 1.1439, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6185, build_cpu_time: 0.1386, build_memory: 662757759.2, f_measure: 0.586, kappa: 0.1679, kb_relative_information_score: 38.4142, mean_absolute_error: 0.4208, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.5863, predictive_accuracy: 0.588, prior_entropy: 0.9971, recall: 0.588, relative_absolute_error: 0.845, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6069, root_relative_squared_error: 1.2163, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6043, build_cpu_time: 0.0556, build_memory: 1428524449.6, f_measure: 0.5799, kappa: 0.1561, kb_relative_information_score: 34.2015, mean_absolute_error: 0.4304, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.5798, predictive_accuracy: 0.58, prior_entropy: 0.9971, recall: 0.58, relative_absolute_error: 0.8644, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2024, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6267, build_cpu_time: 0.0282, build_memory: 357258348.8, f_measure: 0.5843, kappa: 0.1663, kb_relative_information_score: 38.3795, mean_absolute_error: 0.4217, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.5849, predictive_accuracy: 0.584, prior_entropy: 0.9971, recall: 0.584, relative_absolute_error: 0.8469, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5602, root_relative_squared_error: 1.1227, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, build_cpu_time: 0.1149, build_memory: 609939710.4, f_measure: 0.7641, kappa: 0.5268, kb_relative_information_score: 132.9592, mean_absolute_error: 0.2328, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7645, predictive_accuracy: 0.764, prior_entropy: 0.9971, recall: 0.764, relative_absolute_error: 0.4675, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.8903, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, build_cpu_time: 0.2288, build_memory: 1295682849.6, f_measure: 0.7722, kappa: 0.5442, kb_relative_information_score: 135.5073, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7745, predictive_accuracy: 0.772, prior_entropy: 0.9971, recall: 0.772, relative_absolute_error: 0.457, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4533, root_relative_squared_error: 0.9084, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8618, build_cpu_time: 0.3896, build_memory: 598745218.4, f_measure: 0.7762, kappa: 0.552, kb_relative_information_score: 137.574, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.778, predictive_accuracy: 0.776, prior_entropy: 0.9971, recall: 0.776, relative_absolute_error: 0.4488, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4565, root_relative_squared_error: 0.9148, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, build_cpu_time: 0.5533, build_memory: 681448648.8, f_measure: 0.7802, kappa: 0.5598, kb_relative_information_score: 139.3961, mean_absolute_error: 0.2198, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7817, predictive_accuracy: 0.78, prior_entropy: 0.9971, recall: 0.78, relative_absolute_error: 0.4414, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4532, root_relative_squared_error: 0.9083, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, build_cpu_time: 0.5728, build_memory: 2865700232.8, f_measure: 0.7802, kappa: 0.5598, kb_relative_information_score: 139.27, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7817, predictive_accuracy: 0.78, prior_entropy: 0.9971, recall: 0.78, relative_absolute_error: 0.4419, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.9087, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8059, build_cpu_time: 19.2906, build_memory: 767861906.4, f_measure: 0.7315, kappa: 0.4604, kb_relative_information_score: 111.5489, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7317, predictive_accuracy: 0.732, prior_entropy: 0.9971, recall: 0.732, relative_absolute_error: 0.5559, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4901, root_relative_squared_error: 0.9823, scimark_benchmark: 942.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, build_cpu_time: 38.6909, build_memory: 22099982.4, f_measure: 0.7155, kappa: 0.4282, kb_relative_information_score: 107.2238, mean_absolute_error: 0.2839, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7156, predictive_accuracy: 0.716, prior_entropy: 0.9971, recall: 0.716, relative_absolute_error: 0.5701, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5114, root_relative_squared_error: 1.0248, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, build_cpu_time: 75.8681, build_memory: 1214671890.4, f_measure: 0.7439, kappa: 0.4854, kb_relative_information_score: 121.8553, mean_absolute_error: 0.2548, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7438, predictive_accuracy: 0.744, prior_entropy: 0.9971, recall: 0.744, relative_absolute_error: 0.5116, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4885, root_relative_squared_error: 0.9789, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, build_cpu_time: 148.9861, build_memory: 31812558.4, f_measure: 0.7842, kappa: 0.5676, kb_relative_information_score: 140.994, mean_absolute_error: 0.217, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7853, predictive_accuracy: 0.784, prior_entropy: 0.9971, recall: 0.784, relative_absolute_error: 0.4358, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9239, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, build_cpu_time: 312.2334, build_memory: 34696330.4, f_measure: 0.7721, kappa: 0.5428, kb_relative_information_score: 135.1552, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7725, predictive_accuracy: 0.772, prior_entropy: 0.9971, recall: 0.772, relative_absolute_error: 0.4587, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.476, root_relative_squared_error: 0.954, scimark_benchmark: 937.9522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8191, build_cpu_time: 87.5079, build_memory: 1270318083.2, f_measure: 0.8082, kappa: 0.6156, kb_relative_information_score: 153.0681, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.8093, predictive_accuracy: 0.808, prior_entropy: 0.9971, recall: 0.808, relative_absolute_error: 0.3872, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.8755, scimark_benchmark: 931.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, build_cpu_time: 42.5796, build_memory: 1196715486.4, f_measure: 0.7882, kappa: 0.5753, kb_relative_information_score: 143.4374, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.789, predictive_accuracy: 0.788, prior_entropy: 0.9971, recall: 0.788, relative_absolute_error: 0.4248, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4556, root_relative_squared_error: 0.913, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, build_cpu_time: 22.3364, build_memory: 1518483342.4, f_measure: 0.7922, kappa: 0.5831, kb_relative_information_score: 146.0737, mean_absolute_error: 0.2067, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7927, predictive_accuracy: 0.792, prior_entropy: 0.9971, recall: 0.792, relative_absolute_error: 0.4152, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.8949, scimark_benchmark: 945.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8465, build_cpu_time: 10.1888, build_memory: 797732597.6, f_measure: 0.7757, kappa: 0.5492, kb_relative_information_score: 136.2234, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7758, predictive_accuracy: 0.776, prior_entropy: 0.9971, recall: 0.776, relative_absolute_error: 0.4551, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4625, root_relative_squared_error: 0.927, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, build_cpu_time: 1.0278, build_memory: 400551199.2, f_measure: 0.8042, kappa: 0.6074, kb_relative_information_score: 146.6521, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.805, predictive_accuracy: 0.804, prior_entropy: 0.9971, recall: 0.804, relative_absolute_error: 0.4154, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.8269, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8856, build_cpu_time: 2.0835, build_memory: 1853486492, f_measure: 0.8041, kappa: 0.607, kb_relative_information_score: 147.5372, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.8045, predictive_accuracy: 0.804, prior_entropy: 0.9971, recall: 0.804, relative_absolute_error: 0.4115, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.844, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, build_cpu_time: 3.9519, build_memory: 1469357625.6, f_measure: 0.7837, kappa: 0.5653, kb_relative_information_score: 138.41, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7838, predictive_accuracy: 0.784, prior_entropy: 0.9971, recall: 0.784, relative_absolute_error: 0.4474, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4588, root_relative_squared_error: 0.9195, scimark_benchmark: 874.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, build_cpu_time: 7.6601, build_memory: 124257540, f_measure: 0.7957, kappa: 0.5893, kb_relative_information_score: 147.1051, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.796, predictive_accuracy: 0.796, prior_entropy: 0.9971, recall: 0.796, relative_absolute_error: 0.4114, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4449, root_relative_squared_error: 0.8915, scimark_benchmark: 937.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8217, build_cpu_time: 15.1405, build_memory: 989849947.2, f_measure: 0.8038, kappa: 0.6058, kb_relative_information_score: 150.513, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.8039, predictive_accuracy: 0.804, prior_entropy: 0.9971, recall: 0.804, relative_absolute_error: 0.3976, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.8822, scimark_benchmark: 937.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, build_cpu_time: 3.2859, build_memory: 499331119.2, f_measure: 0.8121, kappa: 0.623, kb_relative_information_score: 155.2763, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.8125, predictive_accuracy: 0.812, prior_entropy: 0.9971, recall: 0.812, relative_absolute_error: 0.3781, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4237, root_relative_squared_error: 0.8492, scimark_benchmark: 914.1182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, build_cpu_time: 1.8877, build_memory: 124197632, f_measure: 0.808, kappa: 0.6144, kb_relative_information_score: 151.1599, mean_absolute_error: 0.1972, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.808, predictive_accuracy: 0.808, prior_entropy: 0.9971, recall: 0.808, relative_absolute_error: 0.396, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.8609, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8838, build_cpu_time: 1.3034, build_memory: 869092572.8, f_measure: 0.82, kappa: 0.6383, kb_relative_information_score: 155.3825, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.8199, predictive_accuracy: 0.82, prior_entropy: 0.9971, recall: 0.82, relative_absolute_error: 0.3794, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.8386, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8755, build_cpu_time: 0.6114, build_memory: 738150016, f_measure: 0.7801, kappa: 0.5584, kb_relative_information_score: 140.745, mean_absolute_error: 0.2173, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7801, predictive_accuracy: 0.78, prior_entropy: 0.9971, recall: 0.78, relative_absolute_error: 0.4364, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.431, root_relative_squared_error: 0.8639, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, build_cpu_time: 0.3576, build_memory: 616438760.8, f_measure: 0.7036, kappa: 0.4043, kb_relative_information_score: 105.0711, mean_absolute_error: 0.2863, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7036, predictive_accuracy: 0.704, prior_entropy: 0.9971, recall: 0.704, relative_absolute_error: 0.5749, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4897, root_relative_squared_error: 0.9815, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, build_cpu_time: 0.1934, build_memory: 209411204.8, f_measure: 0.7802, kappa: 0.5593, kb_relative_information_score: 134.5696, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.781, predictive_accuracy: 0.78, prior_entropy: 0.9971, recall: 0.78, relative_absolute_error: 0.4622, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4565, root_relative_squared_error: 0.9149, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8423, build_cpu_time: 0.421, build_memory: 562678023.2, f_measure: 0.7722, kappa: 0.5438, kb_relative_information_score: 133.1344, mean_absolute_error: 0.2328, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7737, predictive_accuracy: 0.772, prior_entropy: 0.9971, recall: 0.772, relative_absolute_error: 0.4675, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4681, root_relative_squared_error: 0.9382, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8471, build_cpu_time: 0.888, build_memory: 85389820.8, f_measure: 0.7962, kappa: 0.5922, kb_relative_information_score: 147.4831, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7985, predictive_accuracy: 0.796, prior_entropy: 0.9971, recall: 0.796, relative_absolute_error: 0.4097, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.8835, scimark_benchmark: 925.481,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8755, build_cpu_time: 0.4024, build_memory: 1192944185.6, f_measure: 0.7597, kappa: 0.517, kb_relative_information_score: 90.2625, mean_absolute_error: 0.3367, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7598, predictive_accuracy: 0.76, prior_entropy: 0.9971, recall: 0.76, relative_absolute_error: 0.676, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.7745, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, build_cpu_time: 0.2078, build_memory: 2639552488.8, f_measure: 0.7556, kappa: 0.5087, kb_relative_information_score: 85.9547, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7558, predictive_accuracy: 0.756, prior_entropy: 0.9971, recall: 0.756, relative_absolute_error: 0.6917, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3934, root_relative_squared_error: 0.7884, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, build_cpu_time: 0.1326, build_memory: 3086689960, f_measure: 0.7522, kappa: 0.503, kb_relative_information_score: 82.8722, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7528, predictive_accuracy: 0.752, prior_entropy: 0.9971, recall: 0.752, relative_absolute_error: 0.7029, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.7986, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, build_cpu_time: 0.1167, build_memory: 576378028, f_measure: 0.7522, kappa: 0.503, kb_relative_information_score: 82.8722, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7528, predictive_accuracy: 0.752, prior_entropy: 0.9971, recall: 0.752, relative_absolute_error: 0.7029, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.7986, scimark_benchmark: 941.5201,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, build_cpu_time: 0.0424, build_memory: 3050318562.4, f_measure: 0.7269, kappa: 0.4509, kb_relative_information_score: 57.2151, mean_absolute_error: 0.4002, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7281, predictive_accuracy: 0.728, prior_entropy: 0.9971, recall: 0.728, relative_absolute_error: 0.8037, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.8581, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, build_cpu_time: 0.0842, build_memory: 165284813.6, f_measure: 0.7423, kappa: 0.4822, kb_relative_information_score: 54.7434, mean_absolute_error: 0.407, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7453, predictive_accuracy: 0.744, prior_entropy: 0.9971, recall: 0.744, relative_absolute_error: 0.8173, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4271, root_relative_squared_error: 0.8559, scimark_benchmark: 946.5543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8491, build_cpu_time: 0.1552, build_memory: 2969909449.6, f_measure: 0.7499, kappa: 0.4978, kb_relative_information_score: 53.7919, mean_absolute_error: 0.4094, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7542, predictive_accuracy: 0.752, prior_entropy: 0.9971, recall: 0.752, relative_absolute_error: 0.8221, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.8551, scimark_benchmark: 941.3608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8491, build_cpu_time: 0.1459, build_memory: 2259694592, f_measure: 0.7499, kappa: 0.4978, kb_relative_information_score: 53.7919, mean_absolute_error: 0.4094, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7542, predictive_accuracy: 0.752, prior_entropy: 0.9971, recall: 0.752, relative_absolute_error: 0.8221, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.8551, scimark_benchmark: 874.7213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8718, build_cpu_time: 0.2519, build_memory: 234089194.4, f_measure: 0.7867, kappa: 0.5714, kb_relative_information_score: 54.7957, mean_absolute_error: 0.4088, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7898, predictive_accuracy: 0.788, prior_entropy: 0.9971, recall: 0.788, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.8494, scimark_benchmark: 917.0415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8853, build_cpu_time: 14.5933, build_memory: 809334628, f_measure: 0.7776, kappa: 0.5538, kb_relative_information_score: 49.6276, mean_absolute_error: 0.4188, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7845, predictive_accuracy: 0.78, prior_entropy: 0.9971, recall: 0.78, relative_absolute_error: 0.8411, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.8608, scimark_benchmark: 933.1125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8853, build_cpu_time: 7.178, build_memory: 775909979.2, f_measure: 0.7734, kappa: 0.5455, kb_relative_information_score: 49.8273, mean_absolute_error: 0.4185, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.781, predictive_accuracy: 0.776, prior_entropy: 0.9971, recall: 0.776, relative_absolute_error: 0.8405, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4292, root_relative_squared_error: 0.8602, scimark_benchmark: 901.2129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, build_cpu_time: 3.9379, build_memory: 372874040, f_measure: 0.7983, kappa: 0.595, kb_relative_information_score: 50.5704, mean_absolute_error: 0.4174, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.8034, predictive_accuracy: 0.8, prior_entropy: 0.9971, recall: 0.8, relative_absolute_error: 0.8382, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.428, root_relative_squared_error: 0.8578, scimark_benchmark: 912.7662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, build_cpu_time: 3.4951, build_memory: 899391148, f_measure: 0.7983, kappa: 0.595, kb_relative_information_score: 50.5704, mean_absolute_error: 0.4174, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.8034, predictive_accuracy: 0.8, prior_entropy: 0.9971, recall: 0.8, relative_absolute_error: 0.8382, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.428, root_relative_squared_error: 0.8578, scimark_benchmark: 922.9897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, build_cpu_time: 1.6904, build_memory: 2143893751.2, f_measure: 0.7783, kappa: 0.5548, kb_relative_information_score: 49.9073, mean_absolute_error: 0.4183, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7824, predictive_accuracy: 0.78, prior_entropy: 0.9971, recall: 0.78, relative_absolute_error: 0.8401, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4291, root_relative_squared_error: 0.8601, scimark_benchmark: 939.4327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, build_cpu_time: 0.9205, build_memory: 1205830671.2, f_measure: 0.7587, kappa: 0.515, kb_relative_information_score: 48.6354, mean_absolute_error: 0.4204, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7609, predictive_accuracy: 0.76, prior_entropy: 0.9971, recall: 0.76, relative_absolute_error: 0.8442, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.8642, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, build_cpu_time: 0.9486, build_memory: 1121169044.8, f_measure: 0.7587, kappa: 0.515, kb_relative_information_score: 48.6354, mean_absolute_error: 0.4204, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7609, predictive_accuracy: 0.76, prior_entropy: 0.9971, recall: 0.76, relative_absolute_error: 0.8442, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.8642, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, build_cpu_time: 0.9175, build_memory: 1323849828.8, f_measure: 0.7587, kappa: 0.515, kb_relative_information_score: 48.6354, mean_absolute_error: 0.4204, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7609, predictive_accuracy: 0.76, prior_entropy: 0.9971, recall: 0.76, relative_absolute_error: 0.8442, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.8642, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6308, build_cpu_time: 0.0289, build_memory: 1595368357.6, f_measure: 0.6233, kappa: 0.2448, kb_relative_information_score: 25.2589, mean_absolute_error: 0.4548, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6276, predictive_accuracy: 0.628, prior_entropy: 0.9971, recall: 0.628, relative_absolute_error: 0.9133, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.993, scimark_benchmark: 942.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, build_cpu_time: 0.0522, build_memory: 591652861.6, f_measure: 0.6488, kappa: 0.295, kb_relative_information_score: 33.8562, mean_absolute_error: 0.441, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6518, predictive_accuracy: 0.652, prior_entropy: 0.9971, recall: 0.652, relative_absolute_error: 0.8856, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.9496, scimark_benchmark: 926.9727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, build_cpu_time: 0.091, build_memory: 636164788.8, f_measure: 0.6488, kappa: 0.295, kb_relative_information_score: 33.8562, mean_absolute_error: 0.441, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6518, predictive_accuracy: 0.652, prior_entropy: 0.9971, recall: 0.652, relative_absolute_error: 0.8856, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.9496, scimark_benchmark: 942.4281,

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