Task
Supervised Classification on socmob

Supervised Classification on socmob

Task 3797 Supervised Classification socmob 1666 runs submitted
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  • mythbusting_1 study_1 study_15 study_20 study_41 study_7 under100k under1m
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1666 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, build_cpu_time: 0.0354, build_memory: 1618399504.8997, f_measure: 0.9407, kappa: 0.8265, kb_relative_information_score: 826.193, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9404, predictive_accuracy: 0.9412, prior_entropy: 0.7637, recall: 0.9412, relative_absolute_error: 0.2956, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.5331, scimark_benchmark: 940.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, build_cpu_time: 0.0446, build_memory: 98917498.1453, f_measure: 0.9407, kappa: 0.8265, kb_relative_information_score: 826.193, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9404, predictive_accuracy: 0.9412, prior_entropy: 0.7637, recall: 0.9412, relative_absolute_error: 0.2956, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.5331, scimark_benchmark: 934.5377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, build_cpu_time: 0.0483, build_memory: 84143737.481, f_measure: 0.9407, kappa: 0.8265, kb_relative_information_score: 826.193, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9404, predictive_accuracy: 0.9412, prior_entropy: 0.7637, recall: 0.9412, relative_absolute_error: 0.2956, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.5331, scimark_benchmark: 938.8955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, build_cpu_time: 0.1108, build_memory: 1459626514.1938, f_measure: 0.9416, kappa: 0.8293, kb_relative_information_score: 826.9516, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9414, predictive_accuracy: 0.942, prior_entropy: 0.7637, recall: 0.942, relative_absolute_error: 0.2947, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.5266, scimark_benchmark: 927.4691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, build_cpu_time: 0.1655, build_memory: 1298062596.3253, f_measure: 0.9415, kappa: 0.8288, kb_relative_information_score: 826.0053, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9413, predictive_accuracy: 0.942, prior_entropy: 0.7637, recall: 0.942, relative_absolute_error: 0.2948, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.5255, scimark_benchmark: 936.1991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, build_cpu_time: 0.2636, build_memory: 998956810.3322, f_measure: 0.9408, kappa: 0.827, kb_relative_information_score: 827.1486, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9405, predictive_accuracy: 0.9412, prior_entropy: 0.7637, recall: 0.9412, relative_absolute_error: 0.2936, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.5239, scimark_benchmark: 945.6149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, build_cpu_time: 6.6308, build_memory: 264791641.7647, f_measure: 0.9409, kappa: 0.828, kb_relative_information_score: 847.801, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9407, predictive_accuracy: 0.9412, prior_entropy: 0.7637, recall: 0.9412, relative_absolute_error: 0.2691, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.5141, scimark_benchmark: 789.6774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, build_cpu_time: 0.1261, build_memory: 912650398.9481, f_measure: 0.9388, kappa: 0.8209, kb_relative_information_score: 929.9061, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9386, predictive_accuracy: 0.9394, prior_entropy: 0.7637, recall: 0.9394, relative_absolute_error: 0.1717, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.5572, scimark_benchmark: 897.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, build_cpu_time: 0.1217, build_memory: 500268731.5225, f_measure: 0.9388, kappa: 0.8209, kb_relative_information_score: 929.9061, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9386, predictive_accuracy: 0.9394, prior_entropy: 0.7637, recall: 0.9394, relative_absolute_error: 0.1717, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.5572, scimark_benchmark: 945.0342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, build_cpu_time: 0.2368, build_memory: 733315353.3633, f_measure: 0.9506, kappa: 0.8564, kb_relative_information_score: 963.4393, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9505, predictive_accuracy: 0.9507, prior_entropy: 0.7637, recall: 0.9507, relative_absolute_error: 0.1453, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.5211, scimark_benchmark: 941.5865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, build_cpu_time: 0.2675, build_memory: 581714932.7474, f_measure: 0.9506, kappa: 0.8564, kb_relative_information_score: 963.4393, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9505, predictive_accuracy: 0.9507, prior_entropy: 0.7637, recall: 0.9507, relative_absolute_error: 0.1453, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.5211, scimark_benchmark: 943.1654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, build_cpu_time: 0.5107, build_memory: 913466318.7197, f_measure: 0.954, kappa: 0.8661, kb_relative_information_score: 977.3922, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9539, predictive_accuracy: 0.9542, prior_entropy: 0.7637, recall: 0.9542, relative_absolute_error: 0.1347, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.5043, scimark_benchmark: 938.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, build_cpu_time: 0.8038, build_memory: 893026948.526, f_measure: 0.955, kappa: 0.8695, kb_relative_information_score: 981.6044, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.955, predictive_accuracy: 0.955, prior_entropy: 0.7637, recall: 0.955, relative_absolute_error: 0.1311, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.4968, scimark_benchmark: 941.2105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, build_cpu_time: 1.7938, build_memory: 1237832765.4325, f_measure: 0.9523, kappa: 0.8611, kb_relative_information_score: 972.4889, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9521, predictive_accuracy: 0.9524, prior_entropy: 0.7637, recall: 0.9524, relative_absolute_error: 0.1377, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.5171, scimark_benchmark: 935.2997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, build_cpu_time: 239.7243, build_memory: 225991876.7889, f_measure: 0.9461, kappa: 0.8427, kb_relative_information_score: 917.9672, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9459, predictive_accuracy: 0.9464, prior_entropy: 0.7637, recall: 0.9464, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.4603, scimark_benchmark: 941.0301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, build_cpu_time: 124.6979, build_memory: 55446732.7266, f_measure: 0.947, kappa: 0.8455, kb_relative_information_score: 918.6607, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9468, predictive_accuracy: 0.9472, prior_entropy: 0.7637, recall: 0.9472, relative_absolute_error: 0.1913, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.4599, scimark_benchmark: 942.5754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, build_cpu_time: 56.1509, build_memory: 49673097.308, f_measure: 0.9494, kappa: 0.852, kb_relative_information_score: 917.7715, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9492, predictive_accuracy: 0.9498, prior_entropy: 0.7637, recall: 0.9498, relative_absolute_error: 0.1905, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.4572, scimark_benchmark: 942.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, build_cpu_time: 28.141, build_memory: 960196199.218, f_measure: 0.9531, kappa: 0.8634, kb_relative_information_score: 919.5633, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.953, predictive_accuracy: 0.9533, prior_entropy: 0.7637, recall: 0.9533, relative_absolute_error: 0.1884, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.4573, scimark_benchmark: 942.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, build_cpu_time: 14.5967, build_memory: 3041348146.4083, f_measure: 0.9463, kappa: 0.844, kb_relative_information_score: 910.9771, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9462, predictive_accuracy: 0.9464, prior_entropy: 0.7637, recall: 0.9464, relative_absolute_error: 0.1933, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.4725, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, build_cpu_time: 0.0044, build_memory: 1897170974.0623, f_measure: 0.9308, kappa: 0.7993, kb_relative_information_score: 774.5488, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9308, predictive_accuracy: 0.9308, prior_entropy: 0.7637, recall: 0.9308, relative_absolute_error: 0.3392, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2389, root_relative_squared_error: 0.5753, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, build_cpu_time: 0.006, build_memory: 96917321.5571, f_measure: 0.9301, kappa: 0.7976, kb_relative_information_score: 775.577, mean_absolute_error: 0.1163, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9302, predictive_accuracy: 0.9299, prior_entropy: 0.7637, recall: 0.9299, relative_absolute_error: 0.3369, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2379, root_relative_squared_error: 0.5729, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, build_cpu_time: 3.7853, build_memory: 198132510.9619, f_measure: 0.9469, kappa: 0.845, kb_relative_information_score: 945.7796, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9467, predictive_accuracy: 0.9472, prior_entropy: 0.7637, recall: 0.9472, relative_absolute_error: 0.1577, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.5438, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, build_cpu_time: 0.0106, build_memory: 61768199.2318, f_measure: 0.931, kappa: 0.8004, kb_relative_information_score: 772.354, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9312, predictive_accuracy: 0.9308, prior_entropy: 0.7637, recall: 0.9308, relative_absolute_error: 0.3401, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2376, root_relative_squared_error: 0.5722, scimark_benchmark: 943.8359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, build_cpu_time: 7.1766, build_memory: 1645067155.5571, f_measure: 0.947, kappa: 0.8455, kb_relative_information_score: 951.9048, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9468, predictive_accuracy: 0.9472, prior_entropy: 0.7637, recall: 0.9472, relative_absolute_error: 0.1538, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.5365, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, build_cpu_time: 7.9587, build_memory: 403115040.8097, f_measure: 0.947, kappa: 0.8455, kb_relative_information_score: 951.9048, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9468, predictive_accuracy: 0.9472, prior_entropy: 0.7637, recall: 0.9472, relative_absolute_error: 0.1538, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.5365, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, build_cpu_time: 0.0227, build_memory: 240689155.8201, f_measure: 0.9294, kappa: 0.796, kb_relative_information_score: 770.5851, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9297, predictive_accuracy: 0.9291, prior_entropy: 0.7637, recall: 0.9291, relative_absolute_error: 0.3419, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2379, root_relative_squared_error: 0.5729, scimark_benchmark: 941.0301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, build_cpu_time: 0.0511, build_memory: 150484514.1384, f_measure: 0.9294, kappa: 0.796, kb_relative_information_score: 770.9245, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9297, predictive_accuracy: 0.9291, prior_entropy: 0.7637, recall: 0.9291, relative_absolute_error: 0.3415, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2375, root_relative_squared_error: 0.5721, scimark_benchmark: 1212.2248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, build_cpu_time: 1709.6365, build_memory: 175089481.9308, f_measure: 0.9341, kappa: 0.8062, kb_relative_information_score: 869.8082, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.934, predictive_accuracy: 0.9351, prior_entropy: 0.7637, recall: 0.9351, relative_absolute_error: 0.2299, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.5162, scimark_benchmark: 943.1529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, build_cpu_time: 1042.139, build_memory: 1201932753.0242, f_measure: 0.9332, kappa: 0.8033, kb_relative_information_score: 870.8168, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9331, predictive_accuracy: 0.9343, prior_entropy: 0.7637, recall: 0.9343, relative_absolute_error: 0.2297, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.5142, scimark_benchmark: 909.6624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, build_cpu_time: 0.1327, build_memory: 2026676002.692, f_measure: 0.9275, kappa: 0.7838, kb_relative_information_score: 862.2842, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9291, predictive_accuracy: 0.9299, prior_entropy: 0.7637, recall: 0.9299, relative_absolute_error: 0.2334, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.239, root_relative_squared_error: 0.5756, scimark_benchmark: 932.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, build_cpu_time: 1.3121, build_memory: 565440320.2491, f_measure: 0.9475, kappa: 0.846, kb_relative_information_score: 854.9163, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9474, predictive_accuracy: 0.9481, prior_entropy: 0.7637, recall: 0.9481, relative_absolute_error: 0.2653, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.4731, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, build_cpu_time: 0.0179, build_memory: 333883188.6228, f_measure: 0.9189, kappa: 0.7631, kb_relative_information_score: 833.2606, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9185, predictive_accuracy: 0.9196, prior_entropy: 0.7637, recall: 0.9196, relative_absolute_error: 0.2452, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2575, root_relative_squared_error: 0.6201, scimark_benchmark: 932.7461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, build_cpu_time: 5.2677, build_memory: 549433218.526, f_measure: 0.9518, kappa: 0.8583, kb_relative_information_score: 866.9686, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9518, predictive_accuracy: 0.9524, prior_entropy: 0.7637, recall: 0.9524, relative_absolute_error: 0.2574, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.4533, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, build_cpu_time: 0.0122, build_memory: 313392897.6125, f_measure: 0.923, kappa: 0.7742, kb_relative_information_score: 835.6847, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9226, predictive_accuracy: 0.9239, prior_entropy: 0.7637, recall: 0.9239, relative_absolute_error: 0.243, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.6224, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, build_cpu_time: 0.0149, build_memory: 454811491.2249, f_measure: 0.923, kappa: 0.7742, kb_relative_information_score: 835.6847, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9226, predictive_accuracy: 0.9239, prior_entropy: 0.7637, recall: 0.9239, relative_absolute_error: 0.243, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.6224, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, build_cpu_time: 0.0039, build_memory: 908007191.6401, f_measure: 0.9204, kappa: 0.7668, kb_relative_information_score: 835.9254, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.92, predictive_accuracy: 0.9213, prior_entropy: 0.7637, recall: 0.9213, relative_absolute_error: 0.2424, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2602, root_relative_squared_error: 0.6267, scimark_benchmark: 902.1764,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, build_cpu_time: 10.546, build_memory: 1221612467.9792, f_measure: 0.9494, kappa: 0.852, kb_relative_information_score: 959.6625, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9492, predictive_accuracy: 0.9498, prior_entropy: 0.7637, recall: 0.9498, relative_absolute_error: 0.147, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.5338, scimark_benchmark: 939.6177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, build_cpu_time: 23.1753, build_memory: 922619316.9965, f_measure: 0.9469, kappa: 0.845, kb_relative_information_score: 952.9301, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9467, predictive_accuracy: 0.9472, prior_entropy: 0.7637, recall: 0.9472, relative_absolute_error: 0.1523, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2284, root_relative_squared_error: 0.5501, scimark_benchmark: 934.2574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, build_cpu_time: 0.145, build_memory: 391989939.8201, f_measure: 0.9426, kappa: 0.8326, kb_relative_information_score: 910.1915, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9424, predictive_accuracy: 0.9429, prior_entropy: 0.7637, recall: 0.9429, relative_absolute_error: 0.1954, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.4824, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, build_cpu_time: 0.09, build_memory: 64858929.3426, f_measure: 0.9348, kappa: 0.81, kb_relative_information_score: 898.5835, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9346, predictive_accuracy: 0.9351, prior_entropy: 0.7637, recall: 0.9351, relative_absolute_error: 0.1934, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.6139, scimark_benchmark: 923.9118,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, build_cpu_time: 0.5005, build_memory: 1356052338.5882, f_measure: 0.9473, kappa: 0.8476, kb_relative_information_score: 951.3714, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9475, predictive_accuracy: 0.9472, prior_entropy: 0.7637, recall: 0.9472, relative_absolute_error: 0.1537, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.5535, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, build_cpu_time: 0.2953, build_memory: 557456910.6505, f_measure: 0.9456, kappa: 0.8426, kb_relative_information_score: 944.6731, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9457, predictive_accuracy: 0.9455, prior_entropy: 0.7637, recall: 0.9455, relative_absolute_error: 0.1588, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.5622, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, build_cpu_time: 0.1905, build_memory: 1582813498.1038, f_measure: 0.9503, kappa: 0.8548, kb_relative_information_score: 963.9404, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9502, predictive_accuracy: 0.9507, prior_entropy: 0.7637, recall: 0.9507, relative_absolute_error: 0.1447, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.5308, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, build_cpu_time: 0.072, build_memory: 1027018336.6159, f_measure: 0.9485, kappa: 0.8492, kb_relative_information_score: 953.1463, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9483, predictive_accuracy: 0.949, prior_entropy: 0.7637, recall: 0.949, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.5325, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, build_cpu_time: 0.0354, build_memory: 869003815.0242, f_measure: 0.9361, kappa: 0.8124, kb_relative_information_score: 922.7051, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9359, predictive_accuracy: 0.9369, prior_entropy: 0.7637, recall: 0.9369, relative_absolute_error: 0.1752, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.5572, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, build_cpu_time: 0.2458, build_memory: 1333615020.0692, f_measure: 0.9427, kappa: 0.833, kb_relative_information_score: 928.7214, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9425, predictive_accuracy: 0.9429, prior_entropy: 0.7637, recall: 0.9429, relative_absolute_error: 0.1707, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.5377, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, build_cpu_time: 0.2772, build_memory: 421148502.9204, f_measure: 0.9453, kappa: 0.8408, kb_relative_information_score: 941.5891, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9452, predictive_accuracy: 0.9455, prior_entropy: 0.7637, recall: 0.9455, relative_absolute_error: 0.1631, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.5355, scimark_benchmark: 919.5971,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, build_cpu_time: 15.7231, build_memory: 1269662421.9585, f_measure: 0.9471, kappa: 0.8463, kb_relative_information_score: 949.3597, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.947, predictive_accuracy: 0.9472, prior_entropy: 0.7637, recall: 0.9472, relative_absolute_error: 0.1565, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.224, root_relative_squared_error: 0.5395, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, build_cpu_time: 8.8828, build_memory: 260642215.7163, f_measure: 0.9497, kappa: 0.8537, kb_relative_information_score: 958.8908, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9496, predictive_accuracy: 0.9498, prior_entropy: 0.7637, recall: 0.9498, relative_absolute_error: 0.1504, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.5023, scimark_benchmark: 937.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, build_cpu_time: 3.591, build_memory: 1009508465.6332, f_measure: 0.9494, kappa: 0.852, kb_relative_information_score: 955.9862, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9492, predictive_accuracy: 0.9498, prior_entropy: 0.7637, recall: 0.9498, relative_absolute_error: 0.1505, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.4905, scimark_benchmark: 874.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, build_cpu_time: 2.1151, build_memory: 215115975.3841, f_measure: 0.9506, kappa: 0.8564, kb_relative_information_score: 950.9237, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9505, predictive_accuracy: 0.9507, prior_entropy: 0.7637, recall: 0.9507, relative_absolute_error: 0.1589, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.4803, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, build_cpu_time: 16.7358, build_memory: 90094457.2664, f_measure: 0.9437, kappa: 0.8367, kb_relative_information_score: 943.3605, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9437, predictive_accuracy: 0.9438, prior_entropy: 0.7637, recall: 0.9438, relative_absolute_error: 0.1597, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.5502, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, build_cpu_time: 32.3538, build_memory: 769891769.3841, f_measure: 0.9489, kappa: 0.8518, kb_relative_information_score: 959.7222, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9489, predictive_accuracy: 0.949, prior_entropy: 0.7637, recall: 0.949, relative_absolute_error: 0.1471, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.5366, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, build_cpu_time: 64.7399, build_memory: 1862931322.4914, f_measure: 0.9462, kappa: 0.8436, kb_relative_information_score: 948.6731, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9461, predictive_accuracy: 0.9464, prior_entropy: 0.7637, recall: 0.9464, relative_absolute_error: 0.1555, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2302, root_relative_squared_error: 0.5544, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, build_cpu_time: 133.1277, build_memory: 80978317.9654, f_measure: 0.9482, kappa: 0.8503, kb_relative_information_score: 955.2652, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9484, predictive_accuracy: 0.9481, prior_entropy: 0.7637, recall: 0.9481, relative_absolute_error: 0.1508, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.5454, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, build_cpu_time: 259.6646, build_memory: 84416704.0484, f_measure: 0.95, kappa: 0.8553, kb_relative_information_score: 961.5367, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9501, predictive_accuracy: 0.9498, prior_entropy: 0.7637, recall: 0.9498, relative_absolute_error: 0.1462, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.5399, scimark_benchmark: 925.7673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, build_cpu_time: 238.5523, build_memory: 66295208.7751, f_measure: 0.96, kappa: 0.8833, kb_relative_information_score: 999.1677, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9599, predictive_accuracy: 0.9602, prior_entropy: 0.7637, recall: 0.9602, relative_absolute_error: 0.1176, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.198, root_relative_squared_error: 0.4769, scimark_benchmark: 920.6725,

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