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: 0.7236, build_cpu_time: 26.4132, build_memory: 1029990990.0426, f_measure: 0.1944, kappa: 0.1304, kb_relative_information_score: 234.6838, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1685, predictive_accuracy: 0.2507, prior_entropy: 3.6268, recall: 0.2507, relative_absolute_error: 1.0457, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1782, root_relative_squared_error: 1.0142, scimark_benchmark: 919.3675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5891, build_cpu_time: 0.3029, build_memory: 462265265.9516, f_measure: 0.202, kappa: 0.1095, kb_relative_information_score: 784.0184, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.198, predictive_accuracy: 0.2071, prior_entropy: 3.6268, recall: 0.2071, relative_absolute_error: 0.9013, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.211, root_relative_squared_error: 1.2007, scimark_benchmark: 922.5645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6312, build_cpu_time: 0.0248, build_memory: 180673210.643, f_measure: 0.0877, kappa: 0.0778, kb_relative_information_score: 578.2535, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.0557, predictive_accuracy: 0.2109, prior_entropy: 3.6268, recall: 0.2109, relative_absolute_error: 0.9634, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.982, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7352, build_cpu_time: 0.5473, build_memory: 713651520.994, f_measure: 0.2308, kappa: 0.1419, kb_relative_information_score: 1041.5947, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2237, predictive_accuracy: 0.2428, prior_entropy: 3.6268, recall: 0.2428, relative_absolute_error: 0.8995, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.9778, scimark_benchmark: 940.7816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7352, build_cpu_time: 0.5722, build_memory: 816053253.6079, f_measure: 0.2308, kappa: 0.1419, kb_relative_information_score: 1041.5947, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2237, predictive_accuracy: 0.2428, prior_entropy: 3.6268, recall: 0.2428, relative_absolute_error: 0.8995, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.9778, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7067, build_cpu_time: 0.0081, build_memory: 158029132.4261, 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: 946.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, build_cpu_time: 3.1744, build_memory: 585645706.1872, 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: 942.9216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6424, build_cpu_time: 14.3314, build_memory: 892651501.5944, f_measure: 0.122, kappa: 0.0525, kb_relative_information_score: 188.2989, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.0887, predictive_accuracy: 0.1961, prior_entropy: 3.6268, recall: 0.1961, relative_absolute_error: 1.0483, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1786, root_relative_squared_error: 1.0165, scimark_benchmark: 932.1837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5551, build_cpu_time: 0.0014, build_memory: 220041899.4187, f_measure: 0.2032, kappa: 0.1103, kb_relative_information_score: 636.1005, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2022, predictive_accuracy: 0.2045, prior_entropy: 3.6268, recall: 0.2045, relative_absolute_error: 0.8894, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2333, root_relative_squared_error: 1.3279, scimark_benchmark: 932.1837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5614, build_cpu_time: 1.2542, build_memory: 166765445.129, f_measure: 0.0995, kappa: 0.0379, kb_relative_information_score: 252.3446, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2102, predictive_accuracy: 0.1896, prior_entropy: 3.6268, recall: 0.1896, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.9947, scimark_benchmark: 937.1859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7356, build_cpu_time: 3.71, build_memory: 845382012.1848, f_measure: 0.2312, kappa: 0.1411, kb_relative_information_score: 1051.0939, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2264, predictive_accuracy: 0.2413, prior_entropy: 3.6268, recall: 0.2413, relative_absolute_error: 0.8973, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.9776, scimark_benchmark: 933.1799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7409, build_cpu_time: 0.0267, build_memory: 440902541.1827, f_measure: 0.2303, kappa: 0.149, kb_relative_information_score: 1002.2476, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2219, predictive_accuracy: 0.255, prior_entropy: 3.6268, recall: 0.255, relative_absolute_error: 0.9006, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.9666, scimark_benchmark: 944.3832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6909, build_cpu_time: 81.3093, build_memory: 1777674562.8939, f_measure: 0.2317, kappa: 0.143, kb_relative_information_score: 108.0998, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2254, predictive_accuracy: 0.2452, prior_entropy: 3.6268, recall: 0.2452, relative_absolute_error: 1.0692, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1811, root_relative_squared_error: 1.0305, scimark_benchmark: 944.3832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.716, build_cpu_time: 161.3593, build_memory: 2148294771.8343, f_measure: 0.2321, kappa: 0.1435, kb_relative_information_score: 134.9572, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2279, predictive_accuracy: 0.2463, prior_entropy: 3.6268, recall: 0.2463, relative_absolute_error: 1.0631, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1801, root_relative_squared_error: 1.0252, scimark_benchmark: 933.1799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7208, build_cpu_time: 267.1386, build_memory: 2142861096.0153, f_measure: 0.2316, kappa: 0.1424, kb_relative_information_score: 174.998, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2267, predictive_accuracy: 0.2452, prior_entropy: 3.6268, recall: 0.2452, relative_absolute_error: 1.0549, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.179, root_relative_squared_error: 1.0187, scimark_benchmark: 936.7073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7733, build_cpu_time: 3435.4285, build_memory: 329813082.44, f_measure: 0.2505, kappa: 0.1705, kb_relative_information_score: 1095.0663, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2385, predictive_accuracy: 0.2717, prior_entropy: 3.6268, recall: 0.2717, relative_absolute_error: 0.9022, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.9564, scimark_benchmark: 939.7798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7198, build_cpu_time: 289.2645, build_memory: 2201891574.3663, f_measure: 0.2339, kappa: 0.1451, kb_relative_information_score: 185.2084, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2292, predictive_accuracy: 0.2475, prior_entropy: 3.6268, recall: 0.2475, relative_absolute_error: 1.0531, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1788, root_relative_squared_error: 1.0174, scimark_benchmark: 945.5918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6312, build_cpu_time: 0.0185, build_memory: 781760393.4537, f_measure: 0.0877, kappa: 0.0778, kb_relative_information_score: 578.2535, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.0557, predictive_accuracy: 0.2109, prior_entropy: 3.6268, recall: 0.2109, relative_absolute_error: 0.9634, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.982, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5551, build_cpu_time: 0.8683, build_memory: 173677904.6723, f_measure: 0.2032, kappa: 0.1103, kb_relative_information_score: 636.1005, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2022, predictive_accuracy: 0.2045, prior_entropy: 3.6268, recall: 0.2045, relative_absolute_error: 0.8894, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2333, root_relative_squared_error: 1.3279, scimark_benchmark: 934.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5551, build_cpu_time: 0.9474, build_memory: 887126301.5255, f_measure: 0.2032, kappa: 0.1103, kb_relative_information_score: 636.1005, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2022, predictive_accuracy: 0.2045, prior_entropy: 3.6268, recall: 0.2045, relative_absolute_error: 0.8894, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2333, root_relative_squared_error: 1.3279, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6009, build_cpu_time: 67.2458, build_memory: 1171891057.7429, f_measure: 0.2278, kappa: 0.1369, kb_relative_information_score: 765.4077, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2242, predictive_accuracy: 0.2332, prior_entropy: 3.6268, recall: 0.2332, relative_absolute_error: 0.8573, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.227, root_relative_squared_error: 1.2915, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6349, build_cpu_time: 26.071, build_memory: 1437925246.0465, f_measure: 0.2154, kappa: 0.1226, kb_relative_information_score: 749.5722, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2121, predictive_accuracy: 0.2205, prior_entropy: 3.6268, recall: 0.2205, relative_absolute_error: 0.8675, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.225, root_relative_squared_error: 1.2805, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6672, build_cpu_time: 14.6646, build_memory: 347394808.4386, f_measure: 0.2214, kappa: 0.1291, kb_relative_information_score: 793.5787, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2182, predictive_accuracy: 0.2262, prior_entropy: 3.6268, recall: 0.2262, relative_absolute_error: 0.8647, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2189, root_relative_squared_error: 1.2456, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6651, build_cpu_time: 7.42, build_memory: 789616069.0218, f_measure: 0.2192, kappa: 0.1274, kb_relative_information_score: 822.0292, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2159, predictive_accuracy: 0.2238, prior_entropy: 3.6268, recall: 0.2238, relative_absolute_error: 0.876, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2089, root_relative_squared_error: 1.1889, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6622, build_cpu_time: 3.6675, build_memory: 690691770.3672, f_measure: 0.2096, kappa: 0.1165, kb_relative_information_score: 754.9243, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2067, predictive_accuracy: 0.2133, prior_entropy: 3.6268, recall: 0.2133, relative_absolute_error: 0.9201, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1909, root_relative_squared_error: 1.0862, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5614, build_cpu_time: 1.581, build_memory: 879594914.2964, f_measure: 0.0995, kappa: 0.0379, kb_relative_information_score: 252.3446, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2102, predictive_accuracy: 0.1896, prior_entropy: 3.6268, recall: 0.1896, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.9947, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5614, build_cpu_time: 1.4904, build_memory: 976413827.9129, f_measure: 0.0995, kappa: 0.0379, kb_relative_information_score: 252.3446, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2102, predictive_accuracy: 0.1896, prior_entropy: 3.6268, recall: 0.1896, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.9947, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5614, build_cpu_time: 1.5403, build_memory: 309969673.741, f_measure: 0.0995, kappa: 0.0379, kb_relative_information_score: 252.3446, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2102, predictive_accuracy: 0.1896, prior_entropy: 3.6268, recall: 0.1896, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.9947, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5614, build_cpu_time: 1.3984, build_memory: 574495492.3361, f_measure: 0.0995, kappa: 0.0379, kb_relative_information_score: 252.3446, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2102, predictive_accuracy: 0.1896, prior_entropy: 3.6268, recall: 0.1896, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.9947, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5614, build_cpu_time: 1.2443, build_memory: 802677604.1848, f_measure: 0.0995, kappa: 0.0379, kb_relative_information_score: 252.3446, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2102, predictive_accuracy: 0.1896, prior_entropy: 3.6268, recall: 0.1896, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.9947, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7419, build_cpu_time: 2.8747, build_memory: 455316965.355, f_measure: 0.2243, kappa: 0.1478, kb_relative_information_score: 937.9674, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2215, predictive_accuracy: 0.2554, prior_entropy: 3.6268, recall: 0.2554, relative_absolute_error: 0.9175, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.9635, scimark_benchmark: 938.1146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7419, build_cpu_time: 2.8331, build_memory: 550001262.8547, f_measure: 0.2243, kappa: 0.1478, kb_relative_information_score: 937.9674, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2215, predictive_accuracy: 0.2554, prior_entropy: 3.6268, recall: 0.2554, relative_absolute_error: 0.9175, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.9635, scimark_benchmark: 924.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7419, build_cpu_time: 3.2853, build_memory: 1610907700.723, f_measure: 0.2243, kappa: 0.1478, kb_relative_information_score: 937.9674, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2215, predictive_accuracy: 0.2554, prior_entropy: 3.6268, recall: 0.2554, relative_absolute_error: 0.9175, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.9635, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7419, build_cpu_time: 3.0205, build_memory: 525931688.7699, f_measure: 0.2243, kappa: 0.1478, kb_relative_information_score: 937.9674, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2215, predictive_accuracy: 0.2554, prior_entropy: 3.6268, recall: 0.2554, relative_absolute_error: 0.9175, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.9635, scimark_benchmark: 937.6343,
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,
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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.716, f_measure: 0.2321, kappa: 0.1435, kb_relative_information_score: 134.9572, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2279, predictive_accuracy: 0.2463, prior_entropy: 3.6268, recall: 0.2463, relative_absolute_error: 1.0631, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1801, root_relative_squared_error: 1.0252, scimark_benchmark: 883.7187, usercpu_time_millis: 212420, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 212330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6009, f_measure: 0.2278, kappa: 0.1369, kb_relative_information_score: 765.4077, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2242, predictive_accuracy: 0.2332, prior_entropy: 3.6268, recall: 0.2332, relative_absolute_error: 0.8573, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.227, root_relative_squared_error: 1.2915, scimark_benchmark: 1146.4634, usercpu_time_millis: 77300, usercpu_time_millis_testing: 6190, usercpu_time_millis_training: 71110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6349, f_measure: 0.2154, kappa: 0.1226, kb_relative_information_score: 749.5722, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2121, predictive_accuracy: 0.2205, prior_entropy: 3.6268, recall: 0.2205, relative_absolute_error: 0.8675, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.225, root_relative_squared_error: 1.2805, scimark_benchmark: 940.3346, usercpu_time_millis: 45690, usercpu_time_millis_testing: 3160, usercpu_time_millis_training: 42530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6634, f_measure: 0.1316, kappa: 0.0901, kb_relative_information_score: 578.9166, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1243, predictive_accuracy: 0.2152, prior_entropy: 3.6268, recall: 0.2152, relative_absolute_error: 0.9632, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.98, scimark_benchmark: 901.0726, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7077, f_measure: 0.2239, kappa: 0.1333, kb_relative_information_score: 980.857, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2185, predictive_accuracy: 0.2315, prior_entropy: 3.6268, recall: 0.2315, relative_absolute_error: 0.9005, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1769, root_relative_squared_error: 1.0069, scimark_benchmark: 932.3943, usercpu_time_millis: 19110, usercpu_time_millis_testing: 420, usercpu_time_millis_training: 18690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7534, f_measure: 0.2317, kappa: 0.152, kb_relative_information_score: 839.1364, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2317, predictive_accuracy: 0.2619, prior_entropy: 3.6268, recall: 0.2619, relative_absolute_error: 0.9326, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.9596, scimark_benchmark: 943.2745, usercpu_time_millis: 4650, usercpu_time_millis_testing: 2120, usercpu_time_millis_training: 2530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0467, kb_relative_information_score: 359.2962, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.0272, predictive_accuracy: 0.165, prior_entropy: 3.6268, recall: 0.165, relative_absolute_error: 0.932, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.24, root_relative_squared_error: 1.3657, scimark_benchmark: 902.4773, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7469, f_measure: 0.2333, kappa: 0.1556, kb_relative_information_score: 959.8279, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2273, predictive_accuracy: 0.2595, prior_entropy: 3.6268, recall: 0.2595, relative_absolute_error: 0.913, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.9595, scimark_benchmark: 911.3823, usercpu_time_millis: 2230, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 2170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6973, f_measure: 0.2228, kappa: 0.1431, kb_relative_information_score: 802.1279, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2214, predictive_accuracy: 0.2483, prior_entropy: 3.6268, recall: 0.2483, relative_absolute_error: 0.9296, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.9777, scimark_benchmark: 923.3111, usercpu_time_millis: 2480, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 2270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.2206, kappa: 0.1307, kb_relative_information_score: 1008.6056, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2154, predictive_accuracy: 0.2282, prior_entropy: 3.6268, recall: 0.2282, relative_absolute_error: 0.8932, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1819, root_relative_squared_error: 1.0353, scimark_benchmark: 929.566, usercpu_time_millis: 720, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.0467, kb_relative_information_score: 1.1651, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.0272, predictive_accuracy: 0.165, prior_entropy: 3.6268, recall: 0.165, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1757, root_relative_squared_error: 1, scimark_benchmark: 940.2922, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7487, f_measure: 0.2385, kappa: 0.1606, kb_relative_information_score: 968.0963, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2351, predictive_accuracy: 0.2645, prior_entropy: 3.6268, recall: 0.2645, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.9592, scimark_benchmark: 938.9865, usercpu_time_millis: 2110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7571, f_measure: 0.2389, kappa: 0.1598, kb_relative_information_score: 1008.0032, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2345, predictive_accuracy: 0.2629, prior_entropy: 3.6268, recall: 0.2629, relative_absolute_error: 0.9054, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.9588, scimark_benchmark: 932.3943, usercpu_time_millis: 4190, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7575, f_measure: 0.2439, kappa: 0.1615, kb_relative_information_score: 1028.7672, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2406, predictive_accuracy: 0.2624, prior_entropy: 3.6268, recall: 0.2624, relative_absolute_error: 0.9012, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.169, root_relative_squared_error: 0.9619, scimark_benchmark: 933.1776, usercpu_time_millis: 8260, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 8240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7576, f_measure: 0.2428, kappa: 0.1591, kb_relative_information_score: 1041.6045, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2369, predictive_accuracy: 0.2583, prior_entropy: 3.6268, recall: 0.2583, relative_absolute_error: 0.8957, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.9663, scimark_benchmark: 933.1776, usercpu_time_millis: 17070, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 17050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6312, f_measure: 0.0877, kappa: 0.0778, kb_relative_information_score: 578.2535, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.0557, predictive_accuracy: 0.2109, prior_entropy: 3.6268, recall: 0.2109, relative_absolute_error: 0.9634, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.982, scimark_benchmark: 923.7642, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6312, f_measure: 0.0877, kappa: 0.0778, kb_relative_information_score: 578.2535, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.0557, predictive_accuracy: 0.2109, prior_entropy: 3.6268, recall: 0.2109, relative_absolute_error: 0.9634, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.982, scimark_benchmark: 938.4285, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6312, f_measure: 0.0877, kappa: 0.0778, kb_relative_information_score: 578.2535, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.0557, predictive_accuracy: 0.2109, prior_entropy: 3.6268, recall: 0.2109, relative_absolute_error: 0.9634, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.982, scimark_benchmark: 938.2848, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6312, f_measure: 0.0877, kappa: 0.0778, kb_relative_information_score: 578.2535, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.0557, predictive_accuracy: 0.2109, prior_entropy: 3.6268, recall: 0.2109, relative_absolute_error: 0.9634, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.982, scimark_benchmark: 943.2817, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6312, f_measure: 0.0877, kappa: 0.0778, kb_relative_information_score: 578.2535, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.0557, predictive_accuracy: 0.2109, prior_entropy: 3.6268, recall: 0.2109, relative_absolute_error: 0.9634, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.982, scimark_benchmark: 922.9039, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7067, 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: 941.7954, usercpu_time_millis: 430, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7067, 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: 942.6953, usercpu_time_millis: 440, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7067, 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: 945.6434, usercpu_time_millis: 430, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7067, 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: 940.2922, usercpu_time_millis: 460, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5891, f_measure: 0.202, kappa: 0.1095, kb_relative_information_score: 784.0184, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.198, predictive_accuracy: 0.2071, prior_entropy: 3.6268, recall: 0.2071, relative_absolute_error: 0.9013, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.211, root_relative_squared_error: 1.2007, scimark_benchmark: 1054.3694, usercpu_time_millis: 410, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 370,

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