Task
Supervised Classification on irish

Supervised Classification on irish

Task 3543 Supervised Classification irish 13251 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 under100k under1m
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13251 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.0113, build_memory: 1501560614.4, f_measure: 1, kappa: 1, kb_relative_information_score: 491.2558, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0208, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0487, root_relative_squared_error: 0.0981, scimark_benchmark: 943.7756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.0347, build_memory: 2035263465.6, f_measure: 1, kappa: 1, kb_relative_information_score: 491.2003, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0209, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.049, root_relative_squared_error: 0.0987, scimark_benchmark: 937.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.0381, build_memory: 199192895.2, f_measure: 1, kappa: 1, kb_relative_information_score: 490.9575, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0215, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0494, root_relative_squared_error: 0.0995, scimark_benchmark: 933.4304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.099, build_memory: 144675858.4, f_measure: 1, kappa: 1, kb_relative_information_score: 490.7543, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0221, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0494, root_relative_squared_error: 0.0994, scimark_benchmark: 938.1673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.5622, build_memory: 330091564, f_measure: 1, kappa: 1, kb_relative_information_score: 499.6458, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0009, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0017, root_relative_squared_error: 0.0033, scimark_benchmark: 783.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.0053, build_memory: 1637630430.4, f_measure: 0.998, kappa: 0.996, kb_relative_information_score: 488.5483, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.991, recall: 0.998, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0469, root_relative_squared_error: 0.0945, scimark_benchmark: 897.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.0056, build_memory: 764365036, f_measure: 0.998, kappa: 0.996, kb_relative_information_score: 488.5483, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.991, recall: 0.998, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0469, root_relative_squared_error: 0.0945, scimark_benchmark: 909.9339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.0065, build_memory: 890343561.6, f_measure: 0.998, kappa: 0.996, kb_relative_information_score: 488.5483, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.991, recall: 0.998, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0469, root_relative_squared_error: 0.0945, scimark_benchmark: 938.4414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.0064, build_memory: 761771273.6, f_measure: 0.998, kappa: 0.996, kb_relative_information_score: 488.5483, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.991, recall: 0.998, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0469, root_relative_squared_error: 0.0945, scimark_benchmark: 942.4851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.0065, build_memory: 681087636.8, f_measure: 0.998, kappa: 0.996, kb_relative_information_score: 488.5483, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.991, recall: 0.998, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0469, root_relative_squared_error: 0.0945, scimark_benchmark: 938.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.0078, build_memory: 1108987544, f_measure: 0.998, kappa: 0.996, kb_relative_information_score: 488.5483, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.991, recall: 0.998, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0469, root_relative_squared_error: 0.0945, scimark_benchmark: 941.2105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.0164, build_memory: 828948084, f_measure: 0.998, kappa: 0.996, kb_relative_information_score: 488.5483, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.991, recall: 0.998, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0469, root_relative_squared_error: 0.0945, scimark_benchmark: 935.2997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, build_cpu_time: 17.4278, build_memory: 1485606188.8, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 440.0255, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.1506, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1279, root_relative_squared_error: 0.2573, scimark_benchmark: 940.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, build_cpu_time: 8.8335, build_memory: 107923778.4, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 439.9878, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.1507, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1282, root_relative_squared_error: 0.258, scimark_benchmark: 941.3226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, build_cpu_time: 4.9483, build_memory: 50216664.8, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 440.2292, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.15, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1284, root_relative_squared_error: 0.2584, scimark_benchmark: 941.6914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, build_cpu_time: 2.2445, build_memory: 40473950.4, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 442.375, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.1443, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1275, root_relative_squared_error: 0.2567, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, build_cpu_time: 1.2942, build_memory: 3303094560, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 444.7186, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.1379, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1272, root_relative_squared_error: 0.2561, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.0031, build_memory: 1928078836, f_measure: 0.8678, kappa: 0.733, kb_relative_information_score: 351.0845, mean_absolute_error: 0.1585, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.896, predictive_accuracy: 0.872, prior_entropy: 0.991, recall: 0.872, relative_absolute_error: 0.3211, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2517, root_relative_squared_error: 0.5065, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.0032, build_memory: 1723518931.2, f_measure: 0.8678, kappa: 0.733, kb_relative_information_score: 351.0845, mean_absolute_error: 0.1585, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.896, predictive_accuracy: 0.872, prior_entropy: 0.991, recall: 0.872, relative_absolute_error: 0.3211, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2517, root_relative_squared_error: 0.5065, scimark_benchmark: 942.6348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.0045, build_memory: 57895137.6, f_measure: 0.8678, kappa: 0.733, kb_relative_information_score: 350.4268, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.896, predictive_accuracy: 0.872, prior_entropy: 0.991, recall: 0.872, relative_absolute_error: 0.3231, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2509, root_relative_squared_error: 0.5049, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.007, build_memory: 92468248, f_measure: 0.8678, kappa: 0.733, kb_relative_information_score: 349.8979, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.896, predictive_accuracy: 0.872, prior_entropy: 0.991, recall: 0.872, relative_absolute_error: 0.3236, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2524, root_relative_squared_error: 0.5081, scimark_benchmark: 943.8359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.018, build_memory: 861913794.4, f_measure: 0.8678, kappa: 0.733, kb_relative_information_score: 348.9268, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.896, predictive_accuracy: 0.872, prior_entropy: 0.991, recall: 0.872, relative_absolute_error: 0.3259, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.253, root_relative_squared_error: 0.5092, scimark_benchmark: 928.9619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.034, build_memory: 167439712, f_measure: 0.8678, kappa: 0.733, kb_relative_information_score: 349.0004, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.896, predictive_accuracy: 0.872, prior_entropy: 0.991, recall: 0.872, relative_absolute_error: 0.326, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2525, root_relative_squared_error: 0.5082, scimark_benchmark: 1212.2248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, build_cpu_time: 0.5072, build_memory: 754116628, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 478.4951, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0485, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1118, root_relative_squared_error: 0.225, scimark_benchmark: 939.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 300.2032, build_memory: 357833963.2, f_measure: 1, kappa: 1, kb_relative_information_score: 498.1516, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.005, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0051, root_relative_squared_error: 0.0103, scimark_benchmark: 906.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 93.5671, build_memory: 1001757804, f_measure: 1, kappa: 1, kb_relative_information_score: 498.1318, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0051, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0054, root_relative_squared_error: 0.0109, scimark_benchmark: 945.5575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, build_cpu_time: 0.0801, build_memory: 1511233170.4, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 472.2894, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0637, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1065, root_relative_squared_error: 0.2144, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.0164, build_memory: 477068224.8, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.4291, build_memory: 1060280172, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 483.988, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0374, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0666, root_relative_squared_error: 0.1341, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.0024, build_memory: 979819924.8, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, build_cpu_time: 0.3387, build_memory: 1780134479.2, f_measure: 0.99, kappa: 0.9798, kb_relative_information_score: 469.351, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.99, predictive_accuracy: 0.99, prior_entropy: 0.991, recall: 0.99, relative_absolute_error: 0.0714, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0971, root_relative_squared_error: 0.1955, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, build_cpu_time: 1.386, build_memory: 1652775319.2, f_measure: 0.99, kappa: 0.9798, kb_relative_information_score: 468.9896, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.99, predictive_accuracy: 0.99, prior_entropy: 0.991, recall: 0.99, relative_absolute_error: 0.0729, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0961, root_relative_squared_error: 0.1934, scimark_benchmark: 938.7486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, build_cpu_time: 2.7595, build_memory: 3194718965.6, f_measure: 0.99, kappa: 0.9798, kb_relative_information_score: 468.2497, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.99, predictive_accuracy: 0.99, prior_entropy: 0.991, recall: 0.99, relative_absolute_error: 0.0745, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0977, root_relative_squared_error: 0.1967, scimark_benchmark: 945.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, build_cpu_time: 6.4318, build_memory: 826447140.8, f_measure: 0.99, kappa: 0.9798, kb_relative_information_score: 467.1827, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.99, predictive_accuracy: 0.99, prior_entropy: 0.991, recall: 0.99, relative_absolute_error: 0.0769, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0998, root_relative_squared_error: 0.2008, scimark_benchmark: 939.3341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, build_cpu_time: 0.0543, build_memory: 1102577790.4, f_measure: 0.988, kappa: 0.9757, kb_relative_information_score: 468.6019, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.988, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0715, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1044, root_relative_squared_error: 0.21, scimark_benchmark: 931.0999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.0318, build_memory: 1295604352, f_measure: 1, kappa: 1, kb_relative_information_score: 491.219, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0208, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.049, root_relative_squared_error: 0.0986, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.0484, build_memory: 314197090.4, f_measure: 1, kappa: 1, kb_relative_information_score: 490.883, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0217, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0495, root_relative_squared_error: 0.0996, scimark_benchmark: 946.5993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.0982, build_memory: 2048694330.4, f_measure: 1, kappa: 1, kb_relative_information_score: 490.6991, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0222, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0494, root_relative_squared_error: 0.0995, scimark_benchmark: 938.5838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.1091, build_memory: 1053348008, f_measure: 1, kappa: 1, kb_relative_information_score: 490.6991, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0222, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0494, root_relative_squared_error: 0.0995, scimark_benchmark: 949.2096,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, build_cpu_time: 9.5764, build_memory: 437691964.8, f_measure: 0.984, kappa: 0.9677, kb_relative_information_score: 483.6733, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9842, predictive_accuracy: 0.984, prior_entropy: 0.991, recall: 0.984, relative_absolute_error: 0.0324, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1265, root_relative_squared_error: 0.2546, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, build_cpu_time: 12.8201, build_memory: 66497388.8, f_measure: 0.984, kappa: 0.9677, kb_relative_information_score: 483.6733, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9842, predictive_accuracy: 0.984, prior_entropy: 0.991, recall: 0.984, relative_absolute_error: 0.0324, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1265, root_relative_squared_error: 0.2546, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 5.2268, build_memory: 34677966.4, f_measure: 1, kappa: 1, kb_relative_information_score: 498.9677, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0026, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0124, root_relative_squared_error: 0.0249, scimark_benchmark: 941.6106,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 5.2143, build_memory: 318170138.4, f_measure: 1, kappa: 1, kb_relative_information_score: 498.9677, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0026, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0124, root_relative_squared_error: 0.0249, scimark_benchmark: 943.6487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 4.9293, build_memory: 786645398.4, f_measure: 1, kappa: 1, kb_relative_information_score: 498.9677, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0026, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0124, root_relative_squared_error: 0.0249, scimark_benchmark: 939.0159,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 0.0231, build_memory: 1433834279.2, f_measure: 0.996, kappa: 0.9919, kb_relative_information_score: 493.0417, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 0.991, recall: 0.996, relative_absolute_error: 0.0155, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0603, root_relative_squared_error: 0.1213, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 0.0205, build_memory: 1261525373.6, f_measure: 0.996, kappa: 0.9919, kb_relative_information_score: 493.0417, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 0.991, recall: 0.996, relative_absolute_error: 0.0155, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0603, root_relative_squared_error: 0.1213, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 0.0167, build_memory: 1330348326.4, f_measure: 0.996, kappa: 0.9919, kb_relative_information_score: 493.0417, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 0.991, recall: 0.996, relative_absolute_error: 0.0155, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0603, root_relative_squared_error: 0.1213, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 0.0138, build_memory: 1551183992, f_measure: 0.996, kappa: 0.9919, kb_relative_information_score: 493.0417, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 0.991, recall: 0.996, relative_absolute_error: 0.0155, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0603, root_relative_squared_error: 0.1213, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 0.0105, build_memory: 919912340, f_measure: 0.996, kappa: 0.9919, kb_relative_information_score: 493.0415, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 0.991, recall: 0.996, relative_absolute_error: 0.0155, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0603, root_relative_squared_error: 0.1213, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.0051, build_memory: 537641128.8, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.0076, build_memory: 1006710852, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.0084, build_memory: 179442864.8, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.0064, build_memory: 238254544, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.0074, build_memory: 883060634.4, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, build_cpu_time: 0.051, build_memory: 116993814.4, f_measure: 0.988, kappa: 0.9757, kb_relative_information_score: 467.1695, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.988, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0751, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1053, root_relative_squared_error: 0.212, scimark_benchmark: 941.6106,

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