OpenML
Supervised Classification on abalone

Supervised Classification on abalone

Task 2075 Supervised Classification abalone 3870 runs submitted
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  • at2 study_1 study_107 study_14 study_41 study_7 study_70 under100k under1m
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3870 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, build_cpu_time: 3.4688, build_memory: 1083917187.9493, f_measure: 0.1956, kappa: 0.1309, kb_relative_information_score: 231.9285, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1683, predictive_accuracy: 0.2507, prior_entropy: 3.6268, recall: 0.2507, relative_absolute_error: 1.0463, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1783, root_relative_squared_error: 1.0146, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7089, build_cpu_time: 0.0711, build_memory: 351198720.2566, f_measure: 0.2434, kappa: 0.1579, kb_relative_information_score: 1024.0787, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2363, predictive_accuracy: 0.2583, prior_entropy: 3.6268, recall: 0.2583, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.9889, scimark_benchmark: 940.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7089, build_cpu_time: 0.0846, build_memory: 298840862.5502, f_measure: 0.2434, kappa: 0.1579, kb_relative_information_score: 1024.0787, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2363, predictive_accuracy: 0.2583, prior_entropy: 3.6268, recall: 0.2583, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.9889, scimark_benchmark: 925.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7089, build_cpu_time: 0.0887, build_memory: 406296112.5056, f_measure: 0.2434, kappa: 0.1579, kb_relative_information_score: 1024.0787, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2363, predictive_accuracy: 0.2583, prior_entropy: 3.6268, recall: 0.2583, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.9889, scimark_benchmark: 926.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7089, build_cpu_time: 0.0667, build_memory: 498089303.3718, f_measure: 0.2434, kappa: 0.1579, kb_relative_information_score: 1024.0787, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2363, predictive_accuracy: 0.2583, prior_entropy: 3.6268, recall: 0.2583, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.9889, scimark_benchmark: 920.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7089, build_cpu_time: 0.0855, build_memory: 485085375.0117, f_measure: 0.2434, kappa: 0.1579, kb_relative_information_score: 1024.0787, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2363, predictive_accuracy: 0.2583, prior_entropy: 3.6268, recall: 0.2583, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.9889, scimark_benchmark: 877.9084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5602, build_cpu_time: 0.0874, build_memory: 291264148.926, f_measure: 0.2124, kappa: 0.121, kb_relative_information_score: 677.3953, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2124, predictive_accuracy: 0.2126, prior_entropy: 3.6268, recall: 0.2126, relative_absolute_error: 0.879, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.233, root_relative_squared_error: 1.3258, scimark_benchmark: 923.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5602, build_cpu_time: 0.1084, build_memory: 1056186234.4458, f_measure: 0.2124, kappa: 0.121, kb_relative_information_score: 677.3953, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2124, predictive_accuracy: 0.2126, prior_entropy: 3.6268, recall: 0.2126, relative_absolute_error: 0.879, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.233, root_relative_squared_error: 1.3258, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5602, build_cpu_time: 0.075, build_memory: 644019328.1839, f_measure: 0.2124, kappa: 0.121, kb_relative_information_score: 677.3953, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2124, predictive_accuracy: 0.2126, prior_entropy: 3.6268, recall: 0.2126, relative_absolute_error: 0.879, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.233, root_relative_squared_error: 1.3258, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5602, build_cpu_time: 0.1032, build_memory: 1241913338.0321, f_measure: 0.2124, kappa: 0.121, kb_relative_information_score: 677.3953, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2124, predictive_accuracy: 0.2126, prior_entropy: 3.6268, recall: 0.2126, relative_absolute_error: 0.879, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.233, root_relative_squared_error: 1.3258, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5602, build_cpu_time: 0.091, build_memory: 561942797.6347, f_measure: 0.2124, kappa: 0.121, kb_relative_information_score: 677.3953, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2124, predictive_accuracy: 0.2126, prior_entropy: 3.6268, recall: 0.2126, relative_absolute_error: 0.879, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.233, root_relative_squared_error: 1.3258, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7338, build_cpu_time: 3.9196, build_memory: 2469438249.0362, f_measure: 0.2352, kappa: 0.146, kb_relative_information_score: 1046.738, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2292, predictive_accuracy: 0.2456, prior_entropy: 3.6268, recall: 0.2456, relative_absolute_error: 0.8974, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.977, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7338, build_cpu_time: 3.7796, build_memory: 1414871094.5846, f_measure: 0.2352, kappa: 0.146, kb_relative_information_score: 1046.738, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2292, predictive_accuracy: 0.2456, prior_entropy: 3.6268, recall: 0.2456, relative_absolute_error: 0.8974, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.977, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7338, build_cpu_time: 3.766, build_memory: 965274911.8123, f_measure: 0.2352, kappa: 0.146, kb_relative_information_score: 1046.738, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2292, predictive_accuracy: 0.2456, prior_entropy: 3.6268, recall: 0.2456, relative_absolute_error: 0.8974, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.977, scimark_benchmark: 940.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7338, build_cpu_time: 4.0298, build_memory: 1400365813.0141, f_measure: 0.2352, kappa: 0.146, kb_relative_information_score: 1046.738, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2292, predictive_accuracy: 0.2456, prior_entropy: 3.6268, recall: 0.2456, relative_absolute_error: 0.8974, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.977, scimark_benchmark: 942.3945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7338, build_cpu_time: 4.2196, build_memory: 1041835633.1357, f_measure: 0.2352, kappa: 0.146, kb_relative_information_score: 1046.738, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2292, predictive_accuracy: 0.2456, prior_entropy: 3.6268, recall: 0.2456, relative_absolute_error: 0.8974, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.977, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5495, build_cpu_time: 0.022, build_memory: 906364608.8772, f_measure: 0.193, kappa: 0.1008, kb_relative_information_score: 632.4768, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1829, predictive_accuracy: 0.2128, prior_entropy: 3.6268, recall: 0.2128, relative_absolute_error: 0.8786, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.233, root_relative_squared_error: 1.3259, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5495, build_cpu_time: 0.0298, build_memory: 498577377.9478, f_measure: 0.193, kappa: 0.1008, kb_relative_information_score: 632.4768, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1829, predictive_accuracy: 0.2128, prior_entropy: 3.6268, recall: 0.2128, relative_absolute_error: 0.8786, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.233, root_relative_squared_error: 1.3259, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5495, build_cpu_time: 0.0349, build_memory: 480905832.2011, f_measure: 0.193, kappa: 0.1008, kb_relative_information_score: 632.4768, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1829, predictive_accuracy: 0.2128, prior_entropy: 3.6268, recall: 0.2128, relative_absolute_error: 0.8786, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.233, root_relative_squared_error: 1.3259, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5495, build_cpu_time: 0.019, build_memory: 1601989361.2526, f_measure: 0.193, kappa: 0.1008, kb_relative_information_score: 632.4768, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1829, predictive_accuracy: 0.2128, prior_entropy: 3.6268, recall: 0.2128, relative_absolute_error: 0.8786, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.233, root_relative_squared_error: 1.3259, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5495, build_cpu_time: 0.0198, build_memory: 862858737.4862, f_measure: 0.193, kappa: 0.1008, kb_relative_information_score: 632.4768, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1829, predictive_accuracy: 0.2128, prior_entropy: 3.6268, recall: 0.2128, relative_absolute_error: 0.8786, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.233, root_relative_squared_error: 1.3259, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7067, build_cpu_time: 0.2357, build_memory: 456856780.4568, f_measure: 0.2035, kappa: 0.1358, kb_relative_information_score: 893.5299, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1961, predictive_accuracy: 0.2349, prior_entropy: 3.6268, recall: 0.2349, relative_absolute_error: 0.9031, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1881, root_relative_squared_error: 1.0707, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7067, build_cpu_time: 0.2108, build_memory: 693915959.0481, f_measure: 0.2035, kappa: 0.1358, kb_relative_information_score: 893.5299, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1961, predictive_accuracy: 0.2349, prior_entropy: 3.6268, recall: 0.2349, relative_absolute_error: 0.9031, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1881, root_relative_squared_error: 1.0707, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7067, build_cpu_time: 0.254, build_memory: 1288606000.3505, f_measure: 0.2035, kappa: 0.1358, kb_relative_information_score: 893.5299, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1961, predictive_accuracy: 0.2349, prior_entropy: 3.6268, recall: 0.2349, relative_absolute_error: 0.9031, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1881, root_relative_squared_error: 1.0707, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7067, build_cpu_time: 0.2669, build_memory: 608884960.8753, f_measure: 0.2035, kappa: 0.1358, kb_relative_information_score: 893.5299, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1961, predictive_accuracy: 0.2349, prior_entropy: 3.6268, recall: 0.2349, relative_absolute_error: 0.9031, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1881, root_relative_squared_error: 1.0707, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7067, build_cpu_time: 0.2098, build_memory: 471337541.2363, f_measure: 0.2035, kappa: 0.1358, kb_relative_information_score: 893.5299, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1961, predictive_accuracy: 0.2349, prior_entropy: 3.6268, recall: 0.2349, relative_absolute_error: 0.9031, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1881, root_relative_squared_error: 1.0707, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6991, build_cpu_time: 52.7369, build_memory: 456567861.7821, f_measure: 0.1282, kappa: 0.0977, kb_relative_information_score: 654.7359, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1137, predictive_accuracy: 0.2219, prior_entropy: 3.6268, recall: 0.2219, relative_absolute_error: 0.9569, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.9779, scimark_benchmark: 872.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6991, build_cpu_time: 57.5822, build_memory: 643706698.4056, f_measure: 0.1282, kappa: 0.0977, kb_relative_information_score: 654.7359, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1137, predictive_accuracy: 0.2219, prior_entropy: 3.6268, recall: 0.2219, relative_absolute_error: 0.9569, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.9779, scimark_benchmark: 940.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6991, build_cpu_time: 59.4583, build_memory: 21982789.0103, f_measure: 0.1282, kappa: 0.0977, kb_relative_information_score: 654.7359, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1137, predictive_accuracy: 0.2219, prior_entropy: 3.6268, recall: 0.2219, relative_absolute_error: 0.9569, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.9779, scimark_benchmark: 943.0278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6991, build_cpu_time: 60.053, build_memory: 723827613.7074, f_measure: 0.1282, kappa: 0.0977, kb_relative_information_score: 654.7359, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1137, predictive_accuracy: 0.2219, prior_entropy: 3.6268, recall: 0.2219, relative_absolute_error: 0.9569, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.9779, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6991, build_cpu_time: 58.9418, build_memory: 514234044.3495, f_measure: 0.1282, kappa: 0.0977, kb_relative_information_score: 654.7359, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1137, predictive_accuracy: 0.2219, prior_entropy: 3.6268, recall: 0.2219, relative_absolute_error: 0.9569, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.9779, scimark_benchmark: 944.2203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6677, build_cpu_time: 85.026, build_memory: 918246389.7074, f_measure: 0.232, kappa: 0.1412, kb_relative_information_score: 793.668, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2295, predictive_accuracy: 0.2373, prior_entropy: 3.6268, recall: 0.2373, relative_absolute_error: 0.9286, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.188, root_relative_squared_error: 1.0697, scimark_benchmark: 907.4175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6677, build_cpu_time: 91.6812, build_memory: 1014010414.0484, f_measure: 0.232, kappa: 0.1412, kb_relative_information_score: 793.668, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2295, predictive_accuracy: 0.2373, prior_entropy: 3.6268, recall: 0.2373, relative_absolute_error: 0.9286, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.188, root_relative_squared_error: 1.0697, scimark_benchmark: 934.8107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6677, build_cpu_time: 91.5728, build_memory: 2049860064.1034, f_measure: 0.232, kappa: 0.1412, kb_relative_information_score: 793.668, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2295, predictive_accuracy: 0.2373, prior_entropy: 3.6268, recall: 0.2373, relative_absolute_error: 0.9286, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.188, root_relative_squared_error: 1.0697, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6677, build_cpu_time: 86.4645, build_memory: 475606600.2624, f_measure: 0.232, kappa: 0.1412, kb_relative_information_score: 793.668, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2295, predictive_accuracy: 0.2373, prior_entropy: 3.6268, recall: 0.2373, relative_absolute_error: 0.9286, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.188, root_relative_squared_error: 1.0697, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6677, build_cpu_time: 86.6638, build_memory: 124656195.5298, f_measure: 0.232, kappa: 0.1412, kb_relative_information_score: 793.668, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2295, predictive_accuracy: 0.2373, prior_entropy: 3.6268, recall: 0.2373, relative_absolute_error: 0.9286, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.188, root_relative_squared_error: 1.0697, scimark_benchmark: 939.6298,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6272, build_cpu_time: 0.1083, build_memory: 1600577977.4575, f_measure: 0.2095, kappa: 0.1251, kb_relative_information_score: 928.4847, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.195, predictive_accuracy: 0.2382, prior_entropy: 3.6268, recall: 0.2382, relative_absolute_error: 0.8759, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1896, root_relative_squared_error: 1.0792, scimark_benchmark: 942.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6272, build_cpu_time: 0.0689, build_memory: 925448573.7994, f_measure: 0.2095, kappa: 0.1251, kb_relative_information_score: 928.4847, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.195, predictive_accuracy: 0.2382, prior_entropy: 3.6268, recall: 0.2382, relative_absolute_error: 0.8759, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1896, root_relative_squared_error: 1.0792, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6493, build_cpu_time: 0.39, build_memory: 774727777.492, f_measure: 0.2105, kappa: 0.1256, kb_relative_information_score: 921.7742, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1988, predictive_accuracy: 0.2387, prior_entropy: 3.6268, recall: 0.2387, relative_absolute_error: 0.8763, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1868, root_relative_squared_error: 1.0631, scimark_benchmark: 785.9104,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7157, build_cpu_time: 4.3943, build_memory: 274005668.4721, f_measure: 0.2234, kappa: 0.1329, kb_relative_information_score: 1038.983, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2179, predictive_accuracy: 0.2322, prior_entropy: 3.6268, recall: 0.2322, relative_absolute_error: 0.8978, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1742, root_relative_squared_error: 0.9911, scimark_benchmark: 947.2295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7087, build_cpu_time: 1.1642, build_memory: 652062078.4467, f_measure: 0.2048, kappa: 0.1388, kb_relative_information_score: 904.721, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1868, predictive_accuracy: 0.2375, prior_entropy: 3.6268, recall: 0.2375, relative_absolute_error: 0.9061, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1869, root_relative_squared_error: 1.0639, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7087, build_cpu_time: 0.8505, build_memory: 1073324442.4305, f_measure: 0.2048, kappa: 0.1388, kb_relative_information_score: 904.721, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1868, predictive_accuracy: 0.2375, prior_entropy: 3.6268, recall: 0.2375, relative_absolute_error: 0.9061, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1869, root_relative_squared_error: 1.0639, scimark_benchmark: 932.5791,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7788, build_cpu_time: 5205.8111, build_memory: 2834791365.5906, f_measure: 0.2587, kappa: 0.1781, kb_relative_information_score: 1112.145, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2558, predictive_accuracy: 0.2789, prior_entropy: 3.6268, recall: 0.2789, relative_absolute_error: 0.8932, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.9517, scimark_benchmark: 926.0297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7796, build_cpu_time: 10085.6737, build_memory: 1078524290.7465, f_measure: 0.2552, kappa: 0.1744, kb_relative_information_score: 1113.2038, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.252, predictive_accuracy: 0.2758, prior_entropy: 3.6268, recall: 0.2758, relative_absolute_error: 0.8934, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.9514, scimark_benchmark: 1223.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, build_cpu_time: 0.1553, build_memory: 289862820.1791, f_measure: 0.1322, kappa: 0.099, kb_relative_information_score: 658.6297, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1195, predictive_accuracy: 0.2231, prior_entropy: 3.6268, recall: 0.2231, relative_absolute_error: 0.956, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.9761, scimark_benchmark: 909.6624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7066, build_cpu_time: 0.1156, build_memory: 99023663.5499, f_measure: 0.1331, kappa: 0.1, kb_relative_information_score: 658.2851, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.118, predictive_accuracy: 0.2241, prior_entropy: 3.6268, recall: 0.2241, relative_absolute_error: 0.9561, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.9761, scimark_benchmark: 872.1114,

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