Task
Supervised Classification on sleuth_ex2016

Supervised Classification on sleuth_ex2016

Task 4280 Supervised Classification sleuth_ex2016 200 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7609, build_cpu_time: 0.139, build_memory: 1504920026.2897, f_measure: 0.7342, kappa: 0.4516, kb_relative_information_score: 390.3183, mean_absolute_error: 0.2638, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.734, predictive_accuracy: 0.7345, prior_entropy: 0.9794, recall: 0.7345, relative_absolute_error: 0.5434, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5066, root_relative_squared_error: 1.0286, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7537, build_cpu_time: 0.0625, build_memory: 1061243730.1149, f_measure: 0.7145, kappa: 0.4105, kb_relative_information_score: 354.2893, mean_absolute_error: 0.2838, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7141, predictive_accuracy: 0.7149, prior_entropy: 0.9794, recall: 0.7149, relative_absolute_error: 0.5847, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5241, root_relative_squared_error: 1.0641, scimark_benchmark: 941.5865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7417, build_cpu_time: 0.049, build_memory: 1537001555.0529, f_measure: 0.7148, kappa: 0.4102, kb_relative_information_score: 347.8892, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7143, predictive_accuracy: 0.7161, prior_entropy: 0.9794, recall: 0.7161, relative_absolute_error: 0.5929, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5205, root_relative_squared_error: 1.0568, scimark_benchmark: 944.2629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, build_cpu_time: 0.245, build_memory: 1652815149.2874, f_measure: 0.7399, kappa: 0.4632, kb_relative_information_score: 394.4819, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7396, predictive_accuracy: 0.7402, prior_entropy: 0.9794, recall: 0.7402, relative_absolute_error: 0.5396, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5086, root_relative_squared_error: 1.0326, scimark_benchmark: 909.9339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.731, build_cpu_time: 0.6064, build_memory: 958098212.0552, f_measure: 0.7265, kappa: 0.4366, kb_relative_information_score: 373.1503, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7267, predictive_accuracy: 0.7264, prior_entropy: 0.9794, recall: 0.7264, relative_absolute_error: 0.5634, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5218, root_relative_squared_error: 1.0595, scimark_benchmark: 935.2997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7597, build_cpu_time: 0.0364, build_memory: 1684414267.6966, f_measure: 0.7171, kappa: 0.4167, kb_relative_information_score: 230.6844, mean_absolute_error: 0.3668, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.717, predictive_accuracy: 0.7172, prior_entropy: 0.9794, recall: 0.7172, relative_absolute_error: 0.7555, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.8957, scimark_benchmark: 929.1607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7535, build_cpu_time: 0.015, build_memory: 2510302263.7241, f_measure: 0.7132, kappa: 0.4079, kb_relative_information_score: 229.8207, mean_absolute_error: 0.3667, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7128, predictive_accuracy: 0.7138, prior_entropy: 0.9794, recall: 0.7138, relative_absolute_error: 0.7553, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4456, root_relative_squared_error: 0.9047, scimark_benchmark: 939.5205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7685, build_cpu_time: 0.0897, build_memory: 856373802.2253, f_measure: 0.7195, kappa: 0.4219, kb_relative_information_score: 238.5597, mean_absolute_error: 0.363, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7195, predictive_accuracy: 0.7195, prior_entropy: 0.9794, recall: 0.7195, relative_absolute_error: 0.7477, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.8841, scimark_benchmark: 947.9538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7637, build_cpu_time: 0.0442, build_memory: 139081926.1241, f_measure: 0.7101, kappa: 0.402, kb_relative_information_score: 234.9656, mean_absolute_error: 0.3646, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7099, predictive_accuracy: 0.7103, prior_entropy: 0.9794, recall: 0.7103, relative_absolute_error: 0.751, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.8902, scimark_benchmark: 927.9241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7637, build_cpu_time: 0.0669, build_memory: 2582341569.223, f_measure: 0.7101, kappa: 0.402, kb_relative_information_score: 234.9656, mean_absolute_error: 0.3646, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7099, predictive_accuracy: 0.7103, prior_entropy: 0.9794, recall: 0.7103, relative_absolute_error: 0.751, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.8902, scimark_benchmark: 945.6782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7692, build_cpu_time: 0.3305, build_memory: 1327621810.6667, f_measure: 0.7098, kappa: 0.3992, kb_relative_information_score: 227.411, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7092, predictive_accuracy: 0.7115, prior_entropy: 0.9794, recall: 0.7115, relative_absolute_error: 0.7622, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.8818, scimark_benchmark: 940.6256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7071, f_measure: 0.6908, kappa: 0.3588, kb_relative_information_score: 315.1326, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.6907, predictive_accuracy: 0.6943, prior_entropy: 0.9794, recall: 0.6943, relative_absolute_error: 0.6301, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5229, root_relative_squared_error: 1.0616, scimark_benchmark: 1305.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7618, f_measure: 0.7219, kappa: 0.4227, kb_relative_information_score: 125.9049, mean_absolute_error: 0.4295, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7297, predictive_accuracy: 0.7299, prior_entropy: 0.9794, recall: 0.7299, relative_absolute_error: 0.8847, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.449, root_relative_squared_error: 0.9116, scimark_benchmark: 1351.6526, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7718, f_measure: 0.7336, kappa: 0.4493, kb_relative_information_score: 370.0656, mean_absolute_error: 0.2779, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7331, predictive_accuracy: 0.7345, prior_entropy: 0.9794, recall: 0.7345, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4878, root_relative_squared_error: 0.9904, scimark_benchmark: 1326.8946, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.7412, kappa: 0.4645, kb_relative_information_score: 233.5214, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7408, predictive_accuracy: 0.7425, prior_entropy: 0.9794, recall: 0.7425, relative_absolute_error: 0.7581, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8679, scimark_benchmark: 942.9708, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6692, f_measure: 0.6793, kappa: 0.3358, kb_relative_information_score: 187.0683, mean_absolute_error: 0.3896, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.6786, predictive_accuracy: 0.6816, prior_entropy: 0.9794, recall: 0.6816, relative_absolute_error: 0.8024, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4839, root_relative_squared_error: 0.9826, scimark_benchmark: 940.3347, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.7412, kappa: 0.4645, kb_relative_information_score: 233.5214, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7408, predictive_accuracy: 0.7425, prior_entropy: 0.9794, recall: 0.7425, relative_absolute_error: 0.7581, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8679, scimark_benchmark: 1304.9611, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4583, f_measure: 0.4333, kb_relative_information_score: -1.3383, mean_absolute_error: 0.4858, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.3436, predictive_accuracy: 0.5862, prior_entropy: 0.9794, recall: 0.5862, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4929, root_relative_squared_error: 1.0008, scimark_benchmark: 1466.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6621, f_measure: 0.6769, kappa: 0.3298, kb_relative_information_score: 289.6669, mean_absolute_error: 0.3195, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.6765, predictive_accuracy: 0.6805, prior_entropy: 0.9794, recall: 0.6805, relative_absolute_error: 0.6582, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5653, root_relative_squared_error: 1.1477, scimark_benchmark: 1341.2341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7684, f_measure: 0.7203, kappa: 0.4226, kb_relative_information_score: 326.2058, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7199, predictive_accuracy: 0.7207, prior_entropy: 0.9794, recall: 0.7207, relative_absolute_error: 0.6315, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.454, root_relative_squared_error: 0.9218, scimark_benchmark: 938.343, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7687, f_measure: 0.7331, kappa: 0.4494, kb_relative_information_score: 350.4512, mean_absolute_error: 0.2906, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7329, predictive_accuracy: 0.7333, prior_entropy: 0.9794, recall: 0.7333, relative_absolute_error: 0.5985, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4691, root_relative_squared_error: 0.9524, scimark_benchmark: 937.1527, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7713, f_measure: 0.7481, kappa: 0.4805, kb_relative_information_score: 385.8564, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.748, predictive_accuracy: 0.7483, prior_entropy: 0.9794, recall: 0.7483, relative_absolute_error: 0.5563, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4753, root_relative_squared_error: 0.9649, scimark_benchmark: 1304.9611, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6615, f_measure: 0.6592, kappa: 0.2964, kb_relative_information_score: 238.8126, mean_absolute_error: 0.3504, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.6587, predictive_accuracy: 0.6598, prior_entropy: 0.9794, recall: 0.6598, relative_absolute_error: 0.7218, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5547, root_relative_squared_error: 1.1262, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6366, f_measure: 0.6883, kappa: 0.3597, kb_relative_information_score: 183.9406, mean_absolute_error: 0.3933, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.6896, predictive_accuracy: 0.6874, prior_entropy: 0.9794, recall: 0.6874, relative_absolute_error: 0.8102, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4869, root_relative_squared_error: 0.9886, scimark_benchmark: 1321.6263, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5279, f_measure: 0.5384, kappa: 0.0602, kb_relative_information_score: 104.1473, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.5523, predictive_accuracy: 0.5782, prior_entropy: 0.9794, recall: 0.5782, relative_absolute_error: 0.8689, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.6495, root_relative_squared_error: 1.3187, scimark_benchmark: 1317.1452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.619, f_measure: 0.6321, kappa: 0.2395, kb_relative_information_score: 204.2028, mean_absolute_error: 0.3667, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.6312, predictive_accuracy: 0.6333, prior_entropy: 0.9794, recall: 0.6333, relative_absolute_error: 0.7553, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.6055, root_relative_squared_error: 1.2295, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6506, f_measure: 0.6637, kappa: 0.304, kb_relative_information_score: 262.5685, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.6628, predictive_accuracy: 0.6655, prior_entropy: 0.9794, recall: 0.6655, relative_absolute_error: 0.689, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5783, root_relative_squared_error: 1.1743, scimark_benchmark: 1321.9426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6476, f_measure: 0.6665, kappa: 0.3105, kb_relative_information_score: 159.4837, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.6657, predictive_accuracy: 0.6678, prior_entropy: 0.9794, recall: 0.6678, relative_absolute_error: 0.8341, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4947, root_relative_squared_error: 1.0044, scimark_benchmark: 1301.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6751, f_measure: 0.6302, kappa: 0.2418, kb_relative_information_score: 171.9414, mean_absolute_error: 0.3885, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.6325, predictive_accuracy: 0.6287, prior_entropy: 0.9794, recall: 0.6287, relative_absolute_error: 0.8003, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5277, root_relative_squared_error: 1.0714, scimark_benchmark: 1325.5087, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6382, f_measure: 0.7058, kappa: 0.3968, kb_relative_information_score: 160.7123, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7079, predictive_accuracy: 0.7046, prior_entropy: 0.9794, recall: 0.7046, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9409, scimark_benchmark: 1354.7191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6382, f_measure: 0.7058, kappa: 0.3968, kb_relative_information_score: 160.7123, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7079, predictive_accuracy: 0.7046, prior_entropy: 0.9794, recall: 0.7046, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9409, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6382, f_measure: 0.7058, kappa: 0.3968, kb_relative_information_score: 160.7123, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7079, predictive_accuracy: 0.7046, prior_entropy: 0.9794, recall: 0.7046, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9409, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.6557, kappa: 0.2876, kb_relative_information_score: 170.273, mean_absolute_error: 0.3938, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.6548, predictive_accuracy: 0.6575, prior_entropy: 0.9794, recall: 0.6575, relative_absolute_error: 0.8113, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4821, root_relative_squared_error: 0.9788, scimark_benchmark: 1280.6338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.7684, kappa: 0.5216, kb_relative_information_score: 329.8383, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7681, predictive_accuracy: 0.769, prior_entropy: 0.9794, recall: 0.769, relative_absolute_error: 0.6424, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.819, scimark_benchmark: 1371.9645, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.611, f_measure: 0.6561, kappa: 0.2933, kb_relative_information_score: 199.66, mean_absolute_error: 0.3768, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.6573, predictive_accuracy: 0.6552, prior_entropy: 0.9794, recall: 0.6552, relative_absolute_error: 0.7762, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5524, root_relative_squared_error: 1.1216, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6046, f_measure: 0.6155, kappa: 0.2086, kb_relative_information_score: 170.8509, mean_absolute_error: 0.3851, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.6161, predictive_accuracy: 0.6149, prior_entropy: 0.9794, recall: 0.6149, relative_absolute_error: 0.7932, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.6205, root_relative_squared_error: 1.2599, scimark_benchmark: 869.6028, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6559, f_measure: 0.6657, kappa: 0.3114, kb_relative_information_score: 262.5685, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.6659, predictive_accuracy: 0.6655, prior_entropy: 0.9794, recall: 0.6655, relative_absolute_error: 0.689, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5783, root_relative_squared_error: 1.1743, scimark_benchmark: 1333.5799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.7684, kappa: 0.5216, kb_relative_information_score: 329.8383, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7681, predictive_accuracy: 0.769, prior_entropy: 0.9794, recall: 0.769, relative_absolute_error: 0.6424, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.819, scimark_benchmark: 939.5205, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6937, f_measure: 0.6536, kappa: 0.2834, kb_relative_information_score: 168.8017, mean_absolute_error: 0.3945, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.6526, predictive_accuracy: 0.6552, prior_entropy: 0.9794, recall: 0.6552, relative_absolute_error: 0.8126, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4825, root_relative_squared_error: 0.9797, scimark_benchmark: 943.1756,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6486, f_measure: 0.7058, kappa: 0.3968, kb_relative_information_score: 176.2141, mean_absolute_error: 0.3996, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7079, predictive_accuracy: 0.7046, prior_entropy: 0.9794, recall: 0.7046, relative_absolute_error: 0.8232, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4568, root_relative_squared_error: 0.9274, scimark_benchmark: 986.8456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, f_measure: 0.726, kappa: 0.4432, kb_relative_information_score: 331.1482, mean_absolute_error: 0.2999, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7331, predictive_accuracy: 0.7241, prior_entropy: 0.9794, recall: 0.7241, relative_absolute_error: 0.6178, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.47, root_relative_squared_error: 0.9544, scimark_benchmark: 923.6051, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.7261, kappa: 0.4376, kb_relative_information_score: 335.1618, mean_absolute_error: 0.3004, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7275, predictive_accuracy: 0.7253, prior_entropy: 0.9794, recall: 0.7253, relative_absolute_error: 0.6188, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.8793, scimark_benchmark: 1276.5165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7478, f_measure: 0.7072, kappa: 0.3922, kb_relative_information_score: 311.2007, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7083, predictive_accuracy: 0.7115, prior_entropy: 0.9794, recall: 0.7115, relative_absolute_error: 0.6446, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.482, root_relative_squared_error: 0.9787, scimark_benchmark: 1329.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7478, f_measure: 0.7072, kappa: 0.3922, kb_relative_information_score: 311.2007, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7083, predictive_accuracy: 0.7115, prior_entropy: 0.9794, recall: 0.7115, relative_absolute_error: 0.6446, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.482, root_relative_squared_error: 0.9787, scimark_benchmark: 1227.9507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.737, kappa: 0.4563, kb_relative_information_score: 284.4196, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7365, predictive_accuracy: 0.7379, prior_entropy: 0.9794, recall: 0.7379, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8307, scimark_benchmark: 928.821, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7506, f_measure: 0.7057, kappa: 0.3902, kb_relative_information_score: 190.7214, mean_absolute_error: 0.3902, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7053, predictive_accuracy: 0.708, prior_entropy: 0.9794, recall: 0.708, relative_absolute_error: 0.8037, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.9021, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.7412, kappa: 0.4645, kb_relative_information_score: 233.5214, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7408, predictive_accuracy: 0.7425, prior_entropy: 0.9794, recall: 0.7425, relative_absolute_error: 0.7581, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8679, scimark_benchmark: 936.3213, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.7624, kappa: 0.511, kb_relative_information_score: 282.1517, mean_absolute_error: 0.341, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7628, predictive_accuracy: 0.7621, prior_entropy: 0.9794, recall: 0.7621, relative_absolute_error: 0.7025, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8237, scimark_benchmark: 933.9, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.7578, kappa: 0.5015, kb_relative_information_score: 282.617, mean_absolute_error: 0.3409, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7582, predictive_accuracy: 0.7575, prior_entropy: 0.9794, recall: 0.7575, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8161, scimark_benchmark: 933.4823, usercpu_time_millis: 210, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8465, f_measure: 0.7623, kappa: 0.5106, kb_relative_information_score: 289.4837, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7626, predictive_accuracy: 0.7621, prior_entropy: 0.9794, recall: 0.7621, relative_absolute_error: 0.6964, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.8071, scimark_benchmark: 904.5548, usercpu_time_millis: 560, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6382, f_measure: 0.7058, kappa: 0.3968, kb_relative_information_score: 160.7123, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7079, predictive_accuracy: 0.7046, prior_entropy: 0.9794, recall: 0.7046, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9409, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6382, f_measure: 0.7058, kappa: 0.3968, kb_relative_information_score: 160.7123, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7079, predictive_accuracy: 0.7046, prior_entropy: 0.9794, recall: 0.7046, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9409, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6288, f_measure: 0.7058, kappa: 0.3968, kb_relative_information_score: 160.1953, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7079, predictive_accuracy: 0.7046, prior_entropy: 0.9794, recall: 0.7046, relative_absolute_error: 0.8408, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.9414, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6382, f_measure: 0.7058, kappa: 0.3968, kb_relative_information_score: 160.7123, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7079, predictive_accuracy: 0.7046, prior_entropy: 0.9794, recall: 0.7046, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9409, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.6557, kappa: 0.2876, kb_relative_information_score: 170.273, mean_absolute_error: 0.3938, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.6548, predictive_accuracy: 0.6575, prior_entropy: 0.9794, recall: 0.6575, relative_absolute_error: 0.8113, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4821, root_relative_squared_error: 0.9788, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7699, f_measure: 0.7162, kappa: 0.4113, kb_relative_information_score: 345.1072, mean_absolute_error: 0.2913, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7167, predictive_accuracy: 0.7195, prior_entropy: 0.9794, recall: 0.7195, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.483, root_relative_squared_error: 0.9808, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7662, f_measure: 0.7233, kappa: 0.4281, kb_relative_information_score: 356.4686, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7228, predictive_accuracy: 0.7241, prior_entropy: 0.9794, recall: 0.7241, relative_absolute_error: 0.586, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4852, root_relative_squared_error: 0.9851, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7748, f_measure: 0.7252, kappa: 0.4335, kb_relative_information_score: 362.6879, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7252, predictive_accuracy: 0.7253, prior_entropy: 0.9794, recall: 0.7253, relative_absolute_error: 0.5762, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.495, root_relative_squared_error: 1.0051, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7514, f_measure: 0.7052, kappa: 0.3887, kb_relative_information_score: 316.3892, mean_absolute_error: 0.3085, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.705, predictive_accuracy: 0.708, prior_entropy: 0.9794, recall: 0.708, relative_absolute_error: 0.6354, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4922, root_relative_squared_error: 0.9994, scimark_benchmark: 929.0296,

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