Task
Supervised Classification on meta_all.arff

Supervised Classification on meta_all.arff

Task 2352 Supervised Classification meta_all.arff 308 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6744, build_cpu_time: 0.044, build_memory: 65968648, f_measure: 0.5812, kappa: 0.2256, kb_relative_information_score: 3.3154, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.6221, predictive_accuracy: 0.5652, prior_entropy: 1.9094, recall: 0.5652, relative_absolute_error: 0.9703, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3153, root_relative_squared_error: 1.0801, scimark_benchmark: 886.1586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6884, build_cpu_time: 0.108, build_memory: 1099486160, f_measure: 0.5487, kappa: 0.1839, kb_relative_information_score: 3.5852, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.6087, predictive_accuracy: 0.5217, prior_entropy: 1.9094, recall: 0.5217, relative_absolute_error: 0.9636, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3133, root_relative_squared_error: 1.0733, scimark_benchmark: 897.4566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7156, build_cpu_time: 0.175, build_memory: 1534205416, f_measure: 0.5217, kappa: 0.1028, kb_relative_information_score: 3.4663, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5404, predictive_accuracy: 0.5217, prior_entropy: 1.9094, recall: 0.5217, relative_absolute_error: 0.9624, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3143, root_relative_squared_error: 1.0769, scimark_benchmark: 937.0358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, build_cpu_time: 0.518, build_memory: 1001255504, f_measure: 0.5217, kappa: 0.1028, kb_relative_information_score: 3.3897, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5404, predictive_accuracy: 0.5217, prior_entropy: 1.9094, recall: 0.5217, relative_absolute_error: 0.9684, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3137, root_relative_squared_error: 1.0748, scimark_benchmark: 942.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, build_cpu_time: 0.519, build_memory: 179068136, f_measure: 0.5217, kappa: 0.1028, kb_relative_information_score: 3.3897, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5404, predictive_accuracy: 0.5217, prior_entropy: 1.9094, recall: 0.5217, relative_absolute_error: 0.9684, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3137, root_relative_squared_error: 1.0748, scimark_benchmark: 938.5288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6558, build_cpu_time: 1.25, build_memory: 93028864, f_measure: 0.622, kappa: 0.1436, kb_relative_information_score: 3.9542, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5839, predictive_accuracy: 0.6957, prior_entropy: 1.9094, recall: 0.6957, relative_absolute_error: 0.8789, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.9727, scimark_benchmark: 937.1801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6894, build_cpu_time: 0.763, build_memory: 627010704, f_measure: 0.5602, kappa: 0.0372, kb_relative_information_score: 3.9286, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5195, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.8766, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2852, root_relative_squared_error: 0.9771, scimark_benchmark: 940.6415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7487, build_cpu_time: 22.201, build_memory: 441949232, f_measure: 0.6625, kappa: 0.4103, kb_relative_information_score: 3.9941, mean_absolute_error: 0.1753, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7246, predictive_accuracy: 0.6522, prior_entropy: 1.9094, recall: 0.6522, relative_absolute_error: 0.9168, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2979, root_relative_squared_error: 1.0207, scimark_benchmark: 944.0386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, build_cpu_time: 9.349, build_memory: 3685565416, f_measure: 0.623, kappa: 0.365, kb_relative_information_score: 4.0628, mean_absolute_error: 0.1742, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7107, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.9107, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2982, root_relative_squared_error: 1.0216, scimark_benchmark: 945.0883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, build_cpu_time: 5.113, build_memory: 239686008, f_measure: 0.623, kappa: 0.365, kb_relative_information_score: 4.1488, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7107, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.9079, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3022, root_relative_squared_error: 1.0354, scimark_benchmark: 941.5509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7404, build_cpu_time: 2.45, build_memory: 1383906040, f_measure: 0.623, kappa: 0.365, kb_relative_information_score: 4.2823, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7107, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.9001, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2991, root_relative_squared_error: 1.0249, scimark_benchmark: 942.7079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, build_cpu_time: 1.724, build_memory: 21639120, f_measure: 0.6625, kappa: 0.4103, kb_relative_information_score: 3.9618, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7246, predictive_accuracy: 0.6522, prior_entropy: 1.9094, recall: 0.6522, relative_absolute_error: 0.9174, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3098, root_relative_squared_error: 1.0613, scimark_benchmark: 942.6348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5954, build_cpu_time: 0.002, build_memory: 1415738912, f_measure: 0.5747, kappa: 0.0327, kb_relative_information_score: 0.4252, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5629, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 1.0511, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3134, root_relative_squared_error: 1.0736, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6334, build_cpu_time: 0.005, build_memory: 2392582032, f_measure: 0.5747, kappa: 0.0327, kb_relative_information_score: 1.553, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5629, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 1.0144, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3008, root_relative_squared_error: 1.0305, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, build_cpu_time: 0.008, build_memory: 19944616, f_measure: 0.5747, kappa: 0.0327, kb_relative_information_score: 2.034, mean_absolute_error: 0.1914, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5629, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2937, root_relative_squared_error: 1.0062, scimark_benchmark: 943.8359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6824, build_cpu_time: 0.011, build_memory: 132905024, f_measure: 0.6, kappa: 0.1442, kb_relative_information_score: 1.8822, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5561, predictive_accuracy: 0.6522, prior_entropy: 1.9094, recall: 0.6522, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2907, root_relative_squared_error: 0.9959, scimark_benchmark: 1024.2267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6782, build_cpu_time: 0.015, build_memory: 1727507048, f_measure: 0.6, kappa: 0.1442, kb_relative_information_score: 1.7058, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5561, predictive_accuracy: 0.6522, prior_entropy: 1.9094, recall: 0.6522, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.9992, scimark_benchmark: 915.2996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7281, build_cpu_time: 234.644, build_memory: 81478048, f_measure: 0.6542, kappa: 0.4121, kb_relative_information_score: 5.3406, mean_absolute_error: 0.1605, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7159, predictive_accuracy: 0.6522, prior_entropy: 1.9094, recall: 0.6522, relative_absolute_error: 0.8392, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.293, root_relative_squared_error: 1.0037, scimark_benchmark: 941.3226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7386, build_cpu_time: 118.584, build_memory: 1850452112, f_measure: 0.6542, kappa: 0.4121, kb_relative_information_score: 5.4038, mean_absolute_error: 0.1599, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.7159, predictive_accuracy: 0.6522, prior_entropy: 1.9094, recall: 0.6522, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2943, root_relative_squared_error: 1.0082, scimark_benchmark: 935.9032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5201, build_cpu_time: 0.085, build_memory: 273130184, f_measure: 0.5217, kappa: 0.0039, kb_relative_information_score: 3.2874, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5217, predictive_accuracy: 0.5217, prior_entropy: 1.9094, recall: 0.5217, relative_absolute_error: 0.9024, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3462, root_relative_squared_error: 1.1859, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, build_cpu_time: 0.092, build_memory: 183249776, f_measure: 0.6007, kappa: 0.266, kb_relative_information_score: 4.6231, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.6161, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.8997, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3115, root_relative_squared_error: 1.0671, scimark_benchmark: 934.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, build_cpu_time: 0.159, build_memory: 84579048, f_measure: 0.6007, kappa: 0.266, kb_relative_information_score: 4.6231, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.6161, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.8997, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3115, root_relative_squared_error: 1.0671, scimark_benchmark: 899.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, build_cpu_time: 0.152, build_memory: 270429616, f_measure: 0.6007, kappa: 0.266, kb_relative_information_score: 4.6231, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.6161, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.8997, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3115, root_relative_squared_error: 1.0671, scimark_benchmark: 937.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7158, build_cpu_time: 0.186, build_memory: 158424504, f_measure: 0.6122, kappa: 0.3077, kb_relative_information_score: 5.0274, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.6524, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.8616, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2939, root_relative_squared_error: 1.0068, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7237, build_cpu_time: 0.036, build_memory: 485584816, f_measure: 0.5858, kappa: 0.08, kb_relative_information_score: 4.1993, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5059, predictive_accuracy: 0.6957, prior_entropy: 1.9094, recall: 0.6957, relative_absolute_error: 0.7579, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.9683, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7237, build_cpu_time: 0.022, build_memory: 1528993944, f_measure: 0.5858, kappa: 0.08, kb_relative_information_score: 4.1993, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5059, predictive_accuracy: 0.6957, prior_entropy: 1.9094, recall: 0.6957, relative_absolute_error: 0.7579, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.9683, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5827, build_cpu_time: 0.011, build_memory: 226671960, f_measure: 0.5492, kappa: -0.0575, kb_relative_information_score: 3.3452, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.4743, predictive_accuracy: 0.6522, prior_entropy: 1.9094, recall: 0.6522, relative_absolute_error: 0.7958, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2936, root_relative_squared_error: 1.0058, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5827, build_cpu_time: 0.018, build_memory: 256501536, f_measure: 0.5492, kappa: -0.0575, kb_relative_information_score: 3.3452, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.4743, predictive_accuracy: 0.6522, prior_entropy: 1.9094, recall: 0.6522, relative_absolute_error: 0.7958, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2936, root_relative_squared_error: 1.0058, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5827, build_cpu_time: 0.019, build_memory: 177896504, f_measure: 0.5492, kappa: -0.0575, kb_relative_information_score: 3.3452, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.4743, predictive_accuracy: 0.6522, prior_entropy: 1.9094, recall: 0.6522, relative_absolute_error: 0.7958, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2936, root_relative_squared_error: 1.0058, scimark_benchmark: 926.9727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4001, build_cpu_time: 0.011, build_memory: 982042928, f_measure: 0.5264, kappa: -0.1011, kb_relative_information_score: 2.1605, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.4638, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.8716, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3171, root_relative_squared_error: 1.0865, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4001, build_cpu_time: 0.007, build_memory: 1137703328, f_measure: 0.5264, kappa: -0.1011, kb_relative_information_score: 2.1605, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.4638, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.8716, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3171, root_relative_squared_error: 1.0865, scimark_benchmark: 942.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7168, build_cpu_time: 0.218, build_memory: 2879455344, f_measure: 0.635, kappa: 0.2428, kb_relative_information_score: 3.578, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.6189, predictive_accuracy: 0.6522, prior_entropy: 1.9094, recall: 0.6522, relative_absolute_error: 0.9364, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2836, root_relative_squared_error: 0.9715, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, build_cpu_time: 0.449, build_memory: 233266072, f_measure: 0.6516, kappa: 0.3185, kb_relative_information_score: 3.6227, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.658, predictive_accuracy: 0.6522, prior_entropy: 1.9094, recall: 0.6522, relative_absolute_error: 0.9341, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2846, root_relative_squared_error: 0.9751, scimark_benchmark: 938.8142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7323, build_cpu_time: 1.196, build_memory: 327301664, f_measure: 0.6232, kappa: 0.2686, kb_relative_information_score: 3.678, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.648, predictive_accuracy: 0.6087, prior_entropy: 1.9094, recall: 0.6087, relative_absolute_error: 0.9358, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2848, root_relative_squared_error: 0.9756, scimark_benchmark: 904.7337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, build_cpu_time: 2.048, build_memory: 1247284224, f_measure: 0.7033, kappa: 0.4344, kb_relative_information_score: 3.6467, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.6743, predictive_accuracy: 0.7391, prior_entropy: 1.9094, recall: 0.7391, relative_absolute_error: 0.9359, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2832, root_relative_squared_error: 0.9701, scimark_benchmark: 922.5569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7197, build_cpu_time: 3.891, build_memory: 1860098352, f_measure: 0.6516, kappa: 0.3185, kb_relative_information_score: 3.414, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.658, predictive_accuracy: 0.6522, prior_entropy: 1.9094, recall: 0.6522, relative_absolute_error: 0.9479, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2858, root_relative_squared_error: 0.9791, scimark_benchmark: 902.9034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7385, build_cpu_time: 0.036, build_memory: 1360901456, f_measure: 0.7101, kappa: 0.4651, kb_relative_information_score: 4.3566, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.6957, predictive_accuracy: 0.7391, prior_entropy: 1.9094, recall: 0.7391, relative_absolute_error: 0.9057, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.2853, root_relative_squared_error: 0.9774, scimark_benchmark: 929.0404,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7271, build_cpu_time: 5.075, build_memory: 1894837944, f_measure: 0.5384, kappa: 0.2853, kb_relative_information_score: 5.1314, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.6821, predictive_accuracy: 0.5217, prior_entropy: 1.9094, recall: 0.5217, relative_absolute_error: 0.8374, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3959, root_relative_squared_error: 1.3563, scimark_benchmark: 932.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7438, build_cpu_time: 9.798, build_memory: 438149768, f_measure: 0.5384, kappa: 0.2853, kb_relative_information_score: 5.1745, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.6821, predictive_accuracy: 0.5217, prior_entropy: 1.9094, recall: 0.5217, relative_absolute_error: 0.8334, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3992, root_relative_squared_error: 1.3676, scimark_benchmark: 936.914,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7359, build_cpu_time: 2.309, build_memory: 1502850776, f_measure: 0.635, kappa: 0.2428, kb_relative_information_score: 7.8685, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.6189, predictive_accuracy: 0.6522, prior_entropy: 1.9094, recall: 0.6522, relative_absolute_error: 0.5891, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3092, root_relative_squared_error: 1.0592, scimark_benchmark: 943.8134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.653, build_cpu_time: 1.266, build_memory: 22291880, f_measure: 0.635, kappa: 0.2428, kb_relative_information_score: 6.2865, mean_absolute_error: 0.1298, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.6189, predictive_accuracy: 0.6522, prior_entropy: 1.9094, recall: 0.6522, relative_absolute_error: 0.6787, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3142, root_relative_squared_error: 1.0763, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5517, build_cpu_time: 0.048, build_memory: 1819416880, f_measure: 0.4608, kappa: -0.0136, kb_relative_information_score: -1.4328, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5033, predictive_accuracy: 0.4348, prior_entropy: 1.9094, recall: 0.4348, relative_absolute_error: 1.1521, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3609, root_relative_squared_error: 1.2365, scimark_benchmark: 943.5504,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5517, build_cpu_time: 0.045, build_memory: 923793776, f_measure: 0.4608, kappa: -0.0136, kb_relative_information_score: -1.4328, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5033, predictive_accuracy: 0.4348, prior_entropy: 1.9094, recall: 0.4348, relative_absolute_error: 1.1521, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3609, root_relative_squared_error: 1.2365, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5837, build_cpu_time: 0.004, build_memory: 797805952, f_measure: 0.6451, kappa: 0.2698, kb_relative_information_score: -3.008, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5735, predictive_accuracy: 0.7391, prior_entropy: 1.9094, recall: 0.7391, relative_absolute_error: 1.2203, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3209, root_relative_squared_error: 1.0996, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5837, build_cpu_time: 0.006, build_memory: 1027987856, f_measure: 0.6451, kappa: 0.2698, kb_relative_information_score: -3.008, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.5735, predictive_accuracy: 0.7391, prior_entropy: 1.9094, recall: 0.7391, relative_absolute_error: 1.2203, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3209, root_relative_squared_error: 1.0996, scimark_benchmark: 909.5718,

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