Task
Supervised Classification on solar-flare

Supervised Classification on solar-flare

Task 2068 Supervised Classification solar-flare 1232 runs submitted
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  • at2 study_1 study_41 study_70 under100k under1m
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1232 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, build_cpu_time: 0.0033, build_memory: 236547494.1914, f_measure: 0.9925, kappa: -0.0009, kb_relative_information_score: 55.9234, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 0.4695, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0579, root_relative_squared_error: 1.0371, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, build_cpu_time: 0.3192, build_memory: 176790300.2026, f_measure: 0.993, kb_relative_information_score: -2218.5256, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.7751, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0576, root_relative_squared_error: 1.0314, scimark_benchmark: 942.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, build_cpu_time: 0.6003, build_memory: 255570161.9137, f_measure: 0.993, kb_relative_information_score: -2178.0939, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.7774, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0578, root_relative_squared_error: 1.0349, scimark_benchmark: 925.2506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8556, build_cpu_time: 1.193, build_memory: 425489736.1576, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -2425.9713, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 0.8235, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0588, root_relative_squared_error: 1.0527, scimark_benchmark: 921.6453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, build_cpu_time: 2.126, build_memory: 1982695444.6904, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -2426.4094, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 0.8176, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0585, root_relative_squared_error: 1.0478, scimark_benchmark: 941.6047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, build_cpu_time: 4.2636, build_memory: 1028202596.6829, f_measure: 0.993, kb_relative_information_score: -2392.2684, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.8004, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0581, root_relative_squared_error: 1.0412, scimark_benchmark: 941.6205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, build_cpu_time: 0.0973, build_memory: 528077567.8499, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -2107.984, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 0.8064, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0599, root_relative_squared_error: 1.0726, scimark_benchmark: 917.0415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8735, build_cpu_time: 0.0186, build_memory: 999046104.878, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -2105.0648, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 0.8351, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0613, root_relative_squared_error: 1.0976, scimark_benchmark: 941.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, build_cpu_time: 0.0092, build_memory: 3303237933.0882, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -1792.9067, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 0.7881, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0599, root_relative_squared_error: 1.0735, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4501, build_cpu_time: 0.0313, build_memory: 2504117135.2345, f_measure: 0.993, kb_relative_information_score: -884.4457, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.7706, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0558, root_relative_squared_error: 0.9999, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4673, build_cpu_time: 0.0623, build_memory: 2447206391.7298, f_measure: 0.993, kb_relative_information_score: -1004.274, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.8161, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0559, root_relative_squared_error: 1.0005, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6035, build_cpu_time: 0.1145, build_memory: 2111103062.1839, f_measure: 0.993, kb_relative_information_score: -1119.6891, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.819, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0558, root_relative_squared_error: 1.0001, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5606, build_cpu_time: 0.2142, build_memory: 160464230.5516, f_measure: 0.993, kb_relative_information_score: -989.2599, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.7924, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0559, root_relative_squared_error: 1.0016, scimark_benchmark: 941.3563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5606, build_cpu_time: 0.2237, build_memory: 184790851.3621, f_measure: 0.993, kb_relative_information_score: -989.2599, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.7924, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0559, root_relative_squared_error: 1.0016, scimark_benchmark: 946.5993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7758, build_cpu_time: 2.5085, build_memory: 2655372039.152, f_measure: 0.993, kb_relative_information_score: -95546.808, mean_absolute_error: 0.2217, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 29.7257, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.2657, root_relative_squared_error: 4.7595, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8047, build_cpu_time: 0.687, build_memory: 653705312.6829, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -95577.4705, mean_absolute_error: 0.222, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 29.7657, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.2661, root_relative_squared_error: 4.7663, scimark_benchmark: 929.8923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7485, build_cpu_time: 0.3292, build_memory: 820442702.7467, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -95315.0024, mean_absolute_error: 0.2197, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 29.4583, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.2632, root_relative_squared_error: 4.7152, scimark_benchmark: 901.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7509, build_cpu_time: 0.1851, build_memory: 241617954.8818, f_measure: 0.993, kb_relative_information_score: -94789.8318, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 28.8644, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.2622, root_relative_squared_error: 4.6975, scimark_benchmark: 943.6737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2494, build_cpu_time: 0.0001, build_memory: 504313224, f_measure: 0.993, kb_relative_information_score: -1277.503, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 1.0186, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0559, root_relative_squared_error: 1.0007, scimark_benchmark: 922.5645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2494, build_cpu_time: 0.0013, build_memory: 386965230.5591, f_measure: 0.993, kb_relative_information_score: 45.5083, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0558, root_relative_squared_error: 1.0004, scimark_benchmark: 946.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, build_cpu_time: 0.0006, build_memory: 360213795.9099, f_measure: 0.9925, kappa: -0.0009, kb_relative_information_score: 44.1457, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 0.5031, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0613, root_relative_squared_error: 1.0973, scimark_benchmark: 893.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, build_cpu_time: 0.0004, build_memory: 533664737.531, f_measure: 0.9925, kappa: -0.0009, kb_relative_information_score: 44.1457, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 0.5031, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0613, root_relative_squared_error: 1.0973, scimark_benchmark: 927.6633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, build_cpu_time: 0.0233, build_memory: 941615828.3452, f_measure: 0.9925, kappa: -0.0009, kb_relative_information_score: 44.1457, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 0.5031, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0613, root_relative_squared_error: 1.0973, scimark_benchmark: 946.8522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7553, build_cpu_time: 0.0156, build_memory: 126226310.364, f_measure: 0.993, kb_relative_information_score: -1150.8992, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.6366, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0556, root_relative_squared_error: 0.9968, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4807, build_cpu_time: 0.0134, build_memory: 96184529.9287, f_measure: 0.993, kb_relative_information_score: -887.9776, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.8134, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0563, root_relative_squared_error: 1.0087, scimark_benchmark: 945.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, build_cpu_time: 0.0009, build_memory: 187103241.3133, f_measure: 0.9832, kappa: 0.1942, kb_relative_information_score: -4801.7869, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9947, predictive_accuracy: 0.9737, prior_entropy: 0.0626, recall: 0.9737, relative_absolute_error: 2.6556, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.1251, root_relative_squared_error: 2.2403, scimark_benchmark: 946.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4854, build_cpu_time: 0.105, build_memory: 742752418.2364, f_measure: 0.9835, kappa: -0.0067, kb_relative_information_score: -2223.8451, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9765, prior_entropy: 0.0626, recall: 0.9765, relative_absolute_error: 2.0288, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.121, root_relative_squared_error: 2.1674, scimark_benchmark: 949.8157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, build_cpu_time: 0.0368, build_memory: 332272483.4897, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -95759.7371, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 29.9879, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.2748, root_relative_squared_error: 4.9232, scimark_benchmark: 948.6597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0723, build_memory: 903548944.0976, f_measure: 0.993, kb_relative_information_score: -95743.7557, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 29.9599, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.2745, root_relative_squared_error: 4.9164, scimark_benchmark: 945.4085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, build_cpu_time: 0.0002, build_memory: 742318286.5366, f_measure: 0.9911, kappa: -0.0038, kb_relative_information_score: -630.5576, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9916, prior_entropy: 0.0626, recall: 0.9916, relative_absolute_error: 0.8468, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0733, root_relative_squared_error: 1.3122, scimark_benchmark: 945.4085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2494, build_cpu_time: 0.0045, build_memory: 631033637.2083, f_measure: 0.993, kb_relative_information_score: 45.5083, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0558, root_relative_squared_error: 1.0004, scimark_benchmark: 906.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, build_cpu_time: 0.0317, build_memory: 209148215.6698, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -2026.6047, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 0.818, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0603, root_relative_squared_error: 1.0797, scimark_benchmark: 936.8525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, build_cpu_time: 0.0017, build_memory: 398124378.0188, f_measure: 0.9924, kappa: 0.1966, kb_relative_information_score: -2313.5654, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9923, predictive_accuracy: 0.9925, prior_entropy: 0.0626, recall: 0.9925, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0659, root_relative_squared_error: 1.1796, scimark_benchmark: 943.7068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, build_cpu_time: 0.0067, build_memory: 2169883480.3152, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -1651.2912, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 0.7676, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0596, root_relative_squared_error: 1.0668, scimark_benchmark: 940.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6758, build_cpu_time: 1.5791, build_memory: 745322008.8856, f_measure: 0.9911, kappa: -0.0038, kb_relative_information_score: -396.6799, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9916, prior_entropy: 0.0626, recall: 0.9916, relative_absolute_error: 0.7812, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0751, root_relative_squared_error: 1.3445, scimark_benchmark: 920.2722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.484, build_cpu_time: 2.6217, build_memory: 2975253432.7955, f_measure: 0.9901, kappa: -0.0046, kb_relative_information_score: -620.399, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9897, prior_entropy: 0.0626, recall: 0.9897, relative_absolute_error: 0.928, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0815, root_relative_squared_error: 1.46, scimark_benchmark: 933.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.484, build_cpu_time: 3.5707, build_memory: 1720935876.5629, f_measure: 0.9901, kappa: -0.0046, kb_relative_information_score: -625.7898, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9897, prior_entropy: 0.0626, recall: 0.9897, relative_absolute_error: 0.9455, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0829, root_relative_squared_error: 1.4856, scimark_benchmark: 906.4221,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, build_cpu_time: 4.4405, build_memory: 902803016.7655, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -665.1865, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 0.6245, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0604, root_relative_squared_error: 1.0812, scimark_benchmark: 937.5757,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6869, build_cpu_time: 1.5451, build_memory: 765589530.409, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -593.4569, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 0.5916, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0597, root_relative_squared_error: 1.0701, scimark_benchmark: 940.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6869, build_cpu_time: 0.7841, build_memory: 1290346070.1088, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -530.6568, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 0.5847, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0597, root_relative_squared_error: 1.0697, scimark_benchmark: 945.5885,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6955, build_cpu_time: 0.0271, build_memory: 209814265.9587, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -96.5143, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 0.5183, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0609, root_relative_squared_error: 1.0901, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, build_cpu_time: 0.0341, build_memory: 545624190.9493, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -61.2819, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 0.5144, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0608, root_relative_squared_error: 1.0895, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, build_cpu_time: 0.0897, build_memory: 1354506921.0206, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -52.9451, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 0.5121, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0608, root_relative_squared_error: 1.0892, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6957, build_cpu_time: 0.1559, build_memory: 579743141.4034, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -67.8321, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 0.5124, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0608, root_relative_squared_error: 1.0892, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8156, build_cpu_time: 0.0372, build_memory: 294644003.137, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -1566.4725, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 0.7867, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0612, root_relative_squared_error: 1.0964, scimark_benchmark: 940.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8156, build_cpu_time: 0.0548, build_memory: 969629686.6567, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -1566.4725, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 0.7867, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0612, root_relative_squared_error: 1.0964, scimark_benchmark: 941.8181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8156, build_cpu_time: 0.0159, build_memory: 111736927.6623, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -1566.4725, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 0.7867, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0612, root_relative_squared_error: 1.0964, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8156, build_cpu_time: 0.0162, build_memory: 264396463.3996, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -1566.4725, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 0.7867, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0612, root_relative_squared_error: 1.0964, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8156, build_cpu_time: 0.0151, build_memory: 980620092.2477, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -1566.4725, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 0.7867, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0612, root_relative_squared_error: 1.0964, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6858, build_cpu_time: 0.3155, build_memory: 598636205.6886, f_measure: 0.9892, kappa: -0.0052, kb_relative_information_score: -883.0138, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9878, prior_entropy: 0.0626, recall: 0.9878, relative_absolute_error: 1.1212, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0906, root_relative_squared_error: 1.6223, scimark_benchmark: 926.9332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5872, build_cpu_time: 0.6311, build_memory: 1454995561.8011, f_measure: 0.9892, kappa: -0.0052, kb_relative_information_score: -871.5338, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9878, prior_entropy: 0.0626, recall: 0.9878, relative_absolute_error: 1.1212, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0906, root_relative_squared_error: 1.6229, scimark_benchmark: 926.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5876, build_cpu_time: 1.137, build_memory: 419640171.4672, f_measure: 0.9892, kappa: -0.0052, kb_relative_information_score: -875.8258, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9878, prior_entropy: 0.0626, recall: 0.9878, relative_absolute_error: 1.1213, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0906, root_relative_squared_error: 1.6229, scimark_benchmark: 938.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.993, kb_relative_information_score: -95743.7557, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 29.9599, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.2745, root_relative_squared_error: 4.9164, scimark_benchmark: 921.8984, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -1651.2912, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 0.7676, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0596, root_relative_squared_error: 1.0668, scimark_benchmark: 915.2795, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6758, f_measure: 0.9911, kappa: -0.0038, kb_relative_information_score: -396.6799, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9916, prior_entropy: 0.0626, recall: 0.9916, relative_absolute_error: 0.7812, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0751, root_relative_squared_error: 1.3445, scimark_benchmark: 947.0793, usercpu_time_millis: 1660, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.484, f_measure: 0.9901, kappa: -0.0046, kb_relative_information_score: -620.399, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9897, prior_entropy: 0.0626, recall: 0.9897, relative_absolute_error: 0.928, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0815, root_relative_squared_error: 1.46, scimark_benchmark: 911.3823, usercpu_time_millis: 3180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5875, f_measure: 0.9906, kappa: -0.0042, kb_relative_information_score: -418.3223, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9906, prior_entropy: 0.0626, recall: 0.9906, relative_absolute_error: 0.8319, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0782, root_relative_squared_error: 1.4013, scimark_benchmark: 947.0793, usercpu_time_millis: 190, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5875, f_measure: 0.9906, kappa: -0.0042, kb_relative_information_score: -418.3591, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9906, prior_entropy: 0.0626, recall: 0.9906, relative_absolute_error: 0.832, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0782, root_relative_squared_error: 1.4015, scimark_benchmark: 915.2795, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5875, f_measure: 0.9906, kappa: -0.0042, kb_relative_information_score: -417.9914, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9906, prior_entropy: 0.0626, recall: 0.9906, relative_absolute_error: 0.8308, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0781, root_relative_squared_error: 1.3996, scimark_benchmark: 915.2795, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,

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

estimation_procedure 10-fold Crossvalidation
evaluation_measures predictive_accuracy
source_data solar-flare (2)
target_feature X-class_flares_production_by_this_region

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