Task
Supervised Classification on analcatdata_dmft

Supervised Classification on analcatdata_dmft

Task 3560 Supervised Classification analcatdata_dmft 19445 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 78.8119, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.2774, number_of_instances: 797, predictive_accuracy: 0.1945, prior_entropy: 2.5803, recall: 0.1945, relative_absolute_error: 0.9679, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5182, root_relative_squared_error: 1.3913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.52, f_measure: 0.2022, kappa: 0.0409, kb_relative_information_score: 99.6468, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.224, predictive_accuracy: 0.2095, prior_entropy: 2.5803, recall: 0.2095, relative_absolute_error: 0.9498, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5133, root_relative_squared_error: 1.3783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5189, build_cpu_time: 0.0022, build_memory: 1046263696, f_measure: 0.1938, kappa: 0.038, kb_relative_information_score: 93.288, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.1982, predictive_accuracy: 0.1995, prior_entropy: 2.5803, recall: 0.1995, relative_absolute_error: 0.9619, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5166, root_relative_squared_error: 1.387, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5189, build_cpu_time: 0.0026, build_memory: 1344269104, f_measure: 0.1938, kappa: 0.038, kb_relative_information_score: 93.288, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.1982, predictive_accuracy: 0.1995, prior_entropy: 2.5803, recall: 0.1995, relative_absolute_error: 0.9619, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5166, root_relative_squared_error: 1.387, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5189, build_cpu_time: 0.0033, build_memory: 830321966.7854, f_measure: 0.1938, kappa: 0.038, kb_relative_information_score: 93.288, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.1982, predictive_accuracy: 0.1995, prior_entropy: 2.5803, recall: 0.1995, relative_absolute_error: 0.9619, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5166, root_relative_squared_error: 1.387, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5127, build_cpu_time: 0.7259, build_memory: 300945117.3802, f_measure: 0.2074, kappa: 0.0464, kb_relative_information_score: 11.5503, mean_absolute_error: 0.2777, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2084, predictive_accuracy: 0.207, prior_entropy: 2.5803, recall: 0.207, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3726, root_relative_squared_error: 1.0004, scimark_benchmark: 941.6106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5127, build_cpu_time: 0.7406, build_memory: 309929655.5784, f_measure: 0.2074, kappa: 0.0464, kb_relative_information_score: 11.5503, mean_absolute_error: 0.2777, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2084, predictive_accuracy: 0.207, prior_entropy: 2.5803, recall: 0.207, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3726, root_relative_squared_error: 1.0004, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5783, build_cpu_time: 0.0045, build_memory: 2904390763.8344, f_measure: 0.2097, kappa: 0.058, kb_relative_information_score: 73.3608, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2094, predictive_accuracy: 0.2158, prior_entropy: 2.5803, recall: 0.2158, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3723, root_relative_squared_error: 0.9997, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5783, build_cpu_time: 0.0027, build_memory: 1620093821.2397, f_measure: 0.2097, kappa: 0.058, kb_relative_information_score: 73.3608, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2094, predictive_accuracy: 0.2158, prior_entropy: 2.5803, recall: 0.2158, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3723, root_relative_squared_error: 0.9997, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5783, build_cpu_time: 0.0023, build_memory: 1236134585.2748, f_measure: 0.2097, kappa: 0.058, kb_relative_information_score: 73.3608, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2094, predictive_accuracy: 0.2158, prior_entropy: 2.5803, recall: 0.2158, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3723, root_relative_squared_error: 0.9997, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5189, build_cpu_time: 0.0014, build_memory: 898078895.4881, f_measure: 0.1938, kappa: 0.038, kb_relative_information_score: 93.288, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.1982, predictive_accuracy: 0.1995, prior_entropy: 2.5803, recall: 0.1995, relative_absolute_error: 0.9619, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5166, root_relative_squared_error: 1.387, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5783, build_cpu_time: 0.0049, build_memory: 125763447.3576, f_measure: 0.2097, kappa: 0.058, kb_relative_information_score: 73.3608, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2094, predictive_accuracy: 0.2158, prior_entropy: 2.5803, recall: 0.2158, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3723, root_relative_squared_error: 0.9997, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5783, build_cpu_time: 0.002, build_memory: 380777210.4893, f_measure: 0.2097, kappa: 0.058, kb_relative_information_score: 73.3608, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2094, predictive_accuracy: 0.2158, prior_entropy: 2.5803, recall: 0.2158, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3723, root_relative_squared_error: 0.9997, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5189, build_cpu_time: 0.0025, build_memory: 202805448.532, f_measure: 0.1938, kappa: 0.038, kb_relative_information_score: 93.288, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.1982, predictive_accuracy: 0.1995, prior_entropy: 2.5803, recall: 0.1995, relative_absolute_error: 0.9619, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5166, root_relative_squared_error: 1.387, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5326, f_measure: 0.2062, kappa: 0.0453, kb_relative_information_score: 88.8108, mean_absolute_error: 0.2721, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2087, predictive_accuracy: 0.2058, prior_entropy: 2.5803, recall: 0.2058, relative_absolute_error: 0.9809, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.4023, root_relative_squared_error: 1.0801, scimark_benchmark: 945.3151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5299, f_measure: 0.1978, kappa: 0.0331, kb_relative_information_score: 50.6176, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2, predictive_accuracy: 0.197, prior_entropy: 2.5803, recall: 0.197, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3759, root_relative_squared_error: 1.0094, scimark_benchmark: 933.8635, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5731, f_measure: 0.1849, kappa: 0.0364, kb_relative_information_score: 33.1444, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2103, predictive_accuracy: 0.2083, prior_entropy: 2.5803, recall: 0.2083, relative_absolute_error: 0.9919, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.9952, scimark_benchmark: 904.3001, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5489, f_measure: 0.2085, kappa: 0.0454, kb_relative_information_score: 88.1991, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2114, predictive_accuracy: 0.207, prior_entropy: 2.5803, recall: 0.207, relative_absolute_error: 0.9772, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3867, root_relative_squared_error: 1.0383, scimark_benchmark: 923.9763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5096, f_measure: 0.1885, kappa: 0.0228, kb_relative_information_score: 95.0738, mean_absolute_error: 0.2728, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.1939, predictive_accuracy: 0.1882, prior_entropy: 2.5803, recall: 0.1882, relative_absolute_error: 0.9832, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.4352, root_relative_squared_error: 1.1685, scimark_benchmark: 922.5647, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5326, f_measure: 0.2062, kappa: 0.0453, kb_relative_information_score: 88.8108, mean_absolute_error: 0.2721, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2087, predictive_accuracy: 0.2058, prior_entropy: 2.5803, recall: 0.2058, relative_absolute_error: 0.9809, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.4023, root_relative_squared_error: 1.0801, scimark_benchmark: 1109.8407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.0633, kb_relative_information_score: 0.5912, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.0378, predictive_accuracy: 0.1945, prior_entropy: 2.5803, recall: 0.1945, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3724, root_relative_squared_error: 1, scimark_benchmark: 910.8389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5125, f_measure: 0.2026, kappa: 0.043, kb_relative_information_score: 99.7552, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2123, predictive_accuracy: 0.2033, prior_entropy: 2.5803, recall: 0.2033, relative_absolute_error: 0.9832, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.4319, root_relative_squared_error: 1.1597, scimark_benchmark: 902.4773, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5715, build_cpu_time: 0.1716, build_memory: 790232081.054, f_measure: 0.2116, kappa: 0.0587, kb_relative_information_score: 101.7472, mean_absolute_error: 0.2691, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2207, predictive_accuracy: 0.2158, prior_entropy: 2.5803, recall: 0.2158, relative_absolute_error: 0.9699, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3773, root_relative_squared_error: 1.013, scimark_benchmark: 928.6837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5426, f_measure: 0.0633, kb_relative_information_score: 80.7621, mean_absolute_error: 0.2721, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.0378, predictive_accuracy: 0.1945, prior_entropy: 2.5803, recall: 0.1945, relative_absolute_error: 0.9809, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3816, root_relative_squared_error: 1.0245, scimark_benchmark: 947.0793, usercpu_time_millis: 1080, usercpu_time_millis_testing: 740, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5843, f_measure: 0.2068, kappa: 0.0532, kb_relative_information_score: 59.8743, mean_absolute_error: 0.2725, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2103, predictive_accuracy: 0.2146, prior_entropy: 2.5803, recall: 0.2146, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.37, root_relative_squared_error: 0.9935, scimark_benchmark: 947.9494, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5646, f_measure: 0.1829, kappa: 0.0519, kb_relative_information_score: 26.0368, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2073, predictive_accuracy: 0.2233, prior_entropy: 2.5803, recall: 0.2233, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.9969, scimark_benchmark: 901.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0633, kb_relative_information_score: 78.8119, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.0378, predictive_accuracy: 0.1945, prior_entropy: 2.5803, recall: 0.1945, relative_absolute_error: 0.9679, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5182, root_relative_squared_error: 1.3913, scimark_benchmark: 929.0255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5313, build_cpu_time: 85.2752, build_memory: 256769068.1656, f_measure: 0.1925, kappa: 0.0281, kb_relative_information_score: 97.0273, mean_absolute_error: 0.2722, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.1936, predictive_accuracy: 0.192, prior_entropy: 2.5803, recall: 0.192, relative_absolute_error: 0.9813, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.4053, root_relative_squared_error: 1.0882, scimark_benchmark: 942.5754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5302, build_cpu_time: 34.4438, build_memory: 246606108.1455, f_measure: 0.1961, kappa: 0.033, kb_relative_information_score: 97.1395, mean_absolute_error: 0.2722, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.1966, predictive_accuracy: 0.1957, prior_entropy: 2.5803, recall: 0.1957, relative_absolute_error: 0.9813, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.4057, root_relative_squared_error: 1.0893, scimark_benchmark: 1035.3076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5256, build_cpu_time: 0.0654, build_memory: 2096256237.0991, f_measure: 0.1935, kappa: 0.0297, kb_relative_information_score: 89.5207, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.1941, predictive_accuracy: 0.1932, prior_entropy: 2.5803, recall: 0.1932, relative_absolute_error: 0.9858, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3997, root_relative_squared_error: 1.0732, scimark_benchmark: 943.7064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5284, build_cpu_time: 0.0876, build_memory: 307485486.0226, f_measure: 0.1952, kappa: 0.031, kb_relative_information_score: 91.253, mean_absolute_error: 0.2728, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.1967, predictive_accuracy: 0.1945, prior_entropy: 2.5803, recall: 0.1945, relative_absolute_error: 0.9832, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3981, root_relative_squared_error: 1.0689, scimark_benchmark: 611.5971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5284, build_cpu_time: 0.0703, build_memory: 215761178.6299, f_measure: 0.1952, kappa: 0.031, kb_relative_information_score: 91.253, mean_absolute_error: 0.2728, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.1967, predictive_accuracy: 0.1945, prior_entropy: 2.5803, recall: 0.1945, relative_absolute_error: 0.9832, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3981, root_relative_squared_error: 1.0689, scimark_benchmark: 942.2431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5284, build_cpu_time: 0.0884, build_memory: 154132982.7654, f_measure: 0.1952, kappa: 0.031, kb_relative_information_score: 91.253, mean_absolute_error: 0.2728, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.1967, predictive_accuracy: 0.1945, prior_entropy: 2.5803, recall: 0.1945, relative_absolute_error: 0.9832, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3981, root_relative_squared_error: 1.0689, scimark_benchmark: 904.9888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.515, build_cpu_time: 0.0089, build_memory: 2252277165.9222, f_measure: 0.1995, kappa: 0.0404, kb_relative_information_score: 102.108, mean_absolute_error: 0.2718, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2112, predictive_accuracy: 0.2008, prior_entropy: 2.5803, recall: 0.2008, relative_absolute_error: 0.9798, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.4348, root_relative_squared_error: 1.1675, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.515, build_cpu_time: 0.0253, build_memory: 34226266.8105, f_measure: 0.1995, kappa: 0.0404, kb_relative_information_score: 102.108, mean_absolute_error: 0.2718, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2112, predictive_accuracy: 0.2008, prior_entropy: 2.5803, recall: 0.2008, relative_absolute_error: 0.9798, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.4348, root_relative_squared_error: 1.1675, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5461, build_cpu_time: 0.0079, build_memory: 315814992.793, f_measure: 0.1808, kappa: 0.0177, kb_relative_information_score: 71.9704, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.1837, predictive_accuracy: 0.1844, prior_entropy: 2.5803, recall: 0.1844, relative_absolute_error: 0.9839, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3848, root_relative_squared_error: 1.0331, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5461, build_cpu_time: 0.0032, build_memory: 914159925.9222, f_measure: 0.1808, kappa: 0.0177, kb_relative_information_score: 71.9704, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.1837, predictive_accuracy: 0.1844, prior_entropy: 2.5803, recall: 0.1844, relative_absolute_error: 0.9839, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3848, root_relative_squared_error: 1.0331, scimark_benchmark: 935.1201,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.517, build_cpu_time: 0.0573, build_memory: 3023486503.468, f_measure: 0.2035, kappa: 0.0416, kb_relative_information_score: 97.8239, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2046, predictive_accuracy: 0.2033, prior_entropy: 2.5803, recall: 0.2033, relative_absolute_error: 0.9832, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.4137, root_relative_squared_error: 1.1108, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5098, build_cpu_time: 0.0174, build_memory: 879179211.6939, f_measure: 0.2045, kappa: 0.0426, kb_relative_information_score: 97.0184, mean_absolute_error: 0.2731, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2066, predictive_accuracy: 0.2045, prior_entropy: 2.5803, recall: 0.2045, relative_absolute_error: 0.9845, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.4182, root_relative_squared_error: 1.123, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5098, build_cpu_time: 0.0177, build_memory: 354188641.5558, f_measure: 0.2045, kappa: 0.0426, kb_relative_information_score: 97.0184, mean_absolute_error: 0.2731, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2066, predictive_accuracy: 0.2045, prior_entropy: 2.5803, recall: 0.2045, relative_absolute_error: 0.9845, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.4182, root_relative_squared_error: 1.123, scimark_benchmark: 943.4766,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5409, build_cpu_time: 0.0836, build_memory: 879210691.2422, f_measure: 0.1905, kappa: 0.0254, kb_relative_information_score: 81.0986, mean_absolute_error: 0.2728, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.1923, predictive_accuracy: 0.1907, prior_entropy: 2.5803, recall: 0.1907, relative_absolute_error: 0.9834, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3858, root_relative_squared_error: 1.0359, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5749, build_cpu_time: 3.4418, build_memory: 426251562.9812, f_measure: 0.2022, kappa: 0.047, kb_relative_information_score: 83.2199, mean_absolute_error: 0.2707, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2074, predictive_accuracy: 0.2058, prior_entropy: 2.5803, recall: 0.2058, relative_absolute_error: 0.9758, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3728, root_relative_squared_error: 1.001, scimark_benchmark: 941.7913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5749, build_cpu_time: 3.4357, build_memory: 1002118580.798, f_measure: 0.2022, kappa: 0.047, kb_relative_information_score: 83.2199, mean_absolute_error: 0.2707, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2074, predictive_accuracy: 0.2058, prior_entropy: 2.5803, recall: 0.2058, relative_absolute_error: 0.9758, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3728, root_relative_squared_error: 1.001, scimark_benchmark: 938.2568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5379, f_measure: 0.1894, kappa: 0.0239, kb_relative_information_score: 101.8029, mean_absolute_error: 0.2696, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.1954, predictive_accuracy: 0.1895, prior_entropy: 2.5803, recall: 0.1895, relative_absolute_error: 0.9718, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.4031, root_relative_squared_error: 1.0824, scimark_benchmark: 868.2731, usercpu_time_millis: 5260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5203, f_measure: 0.1581, kappa: 0.0219, kb_relative_information_score: 34.8328, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.1483, predictive_accuracy: 0.1832, prior_entropy: 2.5803, recall: 0.1832, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.998, scimark_benchmark: 894.7455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.582, f_measure: 0.2221, kappa: 0.0676, kb_relative_information_score: 77.5781, mean_absolute_error: 0.2703, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2249, predictive_accuracy: 0.2246, prior_entropy: 2.5803, recall: 0.2246, relative_absolute_error: 0.9745, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.9995, scimark_benchmark: 938.2848, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5819, f_measure: 0.2222, kappa: 0.0676, kb_relative_information_score: 77.6724, mean_absolute_error: 0.2703, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2249, predictive_accuracy: 0.2246, prior_entropy: 2.5803, recall: 0.2246, relative_absolute_error: 0.9745, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.9995, scimark_benchmark: 945.6434, usercpu_time_millis: 290, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5321, build_cpu_time: 143.7624, build_memory: 546912081.4053, f_measure: 0.197, kappa: 0.0347, kb_relative_information_score: 97.4322, mean_absolute_error: 0.2721, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.1971, predictive_accuracy: 0.197, prior_entropy: 2.5803, recall: 0.197, relative_absolute_error: 0.981, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.4052, root_relative_squared_error: 1.0879, scimark_benchmark: 930.1205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5783, f_measure: 0.2097, kappa: 0.058, kb_relative_information_score: 73.3608, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2094, predictive_accuracy: 0.2158, prior_entropy: 2.5803, recall: 0.2158, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3723, root_relative_squared_error: 0.9997, scimark_benchmark: 936.7115, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5783, f_measure: 0.2097, kappa: 0.058, kb_relative_information_score: 73.3608, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2094, predictive_accuracy: 0.2158, prior_entropy: 2.5803, recall: 0.2158, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3723, root_relative_squared_error: 0.9997, scimark_benchmark: 942.6953, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5823, f_measure: 0.2209, kappa: 0.0659, kb_relative_information_score: 76.9589, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.224, predictive_accuracy: 0.2233, prior_entropy: 2.5803, recall: 0.2233, relative_absolute_error: 0.9748, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.372, root_relative_squared_error: 0.9989, scimark_benchmark: 924.6116, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5203, f_measure: 0.1581, kappa: 0.0219, kb_relative_information_score: 34.8328, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.1483, predictive_accuracy: 0.1832, prior_entropy: 2.5803, recall: 0.1832, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.998, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5203, f_measure: 0.1581, kappa: 0.0219, kb_relative_information_score: 34.8328, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.1483, predictive_accuracy: 0.1832, prior_entropy: 2.5803, recall: 0.1832, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.998, scimark_benchmark: 922.9039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5203, f_measure: 0.1581, kappa: 0.0219, kb_relative_information_score: 34.8328, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.1483, predictive_accuracy: 0.1832, prior_entropy: 2.5803, recall: 0.1832, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.998, scimark_benchmark: 943.2817, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5203, f_measure: 0.1581, kappa: 0.0219, kb_relative_information_score: 34.8328, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.1483, predictive_accuracy: 0.1832, prior_entropy: 2.5803, recall: 0.1832, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.998, scimark_benchmark: 911.3823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5783, f_measure: 0.2097, kappa: 0.058, kb_relative_information_score: 73.3608, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2094, predictive_accuracy: 0.2158, prior_entropy: 2.5803, recall: 0.2158, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3723, root_relative_squared_error: 0.9997, scimark_benchmark: 926.6717, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5831, f_measure: 0.2249, kappa: 0.0717, kb_relative_information_score: 74.4807, mean_absolute_error: 0.2707, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2276, predictive_accuracy: 0.2284, prior_entropy: 2.5803, recall: 0.2284, relative_absolute_error: 0.9758, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.997, scimark_benchmark: 902.4773, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.0633, kb_relative_information_score: 0.5912, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.0378, predictive_accuracy: 0.1945, prior_entropy: 2.5803, recall: 0.1945, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3724, root_relative_squared_error: 1, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.2163, kappa: 0.0638, kb_relative_information_score: 69.4149, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2181, predictive_accuracy: 0.2221, prior_entropy: 2.5803, recall: 0.2221, relative_absolute_error: 0.9777, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.9942, scimark_benchmark: 902.4773, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5224, build_cpu_time: 0.0016, build_memory: 645729094.5947, f_measure: 0.1623, kappa: 0.0035, kb_relative_information_score: 91.5053, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.1719, predictive_accuracy: 0.1757, prior_entropy: 2.5803, recall: 0.1757, relative_absolute_error: 0.9896, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.4155, root_relative_squared_error: 1.1157, scimark_benchmark: 942.4281,

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