OpenML
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: 0.8726, 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: 0.2494, 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: 0.922, 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: 0.5, 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: 0.4995, 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: 0.4854, 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: 0.9717, 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: 0.4807, 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: 0.7553, 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: 0.4995, 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: 0.2494, 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: 0.2494, 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: 0.7509, 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: 0.7485, 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: 0.8047, 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: 0.7758, 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: 0.5606, 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: 0.5606, 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: 0.6035, 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: 0.4673, 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: 0.4501, 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: 0.8777, 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: 0.8735, 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: 0.8647, 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: 0.8509, 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: 0.854, 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: 0.8556, 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: 0.8571, 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: 0.8586, 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: 0.4995, 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: 0.4995, build_cpu_time: 0.0068, build_memory: 1090663959.4897, f_measure: 0.9925, kappa: -0.0009, kb_relative_information_score: 54.0779, 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: 0.4737, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0582, root_relative_squared_error: 1.0432, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, build_cpu_time: 0.0082, build_memory: 152093496.7054, f_measure: 0.9925, kappa: -0.0009, kb_relative_information_score: 54.0779, 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: 0.4737, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0582, root_relative_squared_error: 1.0432, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, build_cpu_time: 0.0087, build_memory: 159653943.197, f_measure: 0.9925, kappa: -0.0009, kb_relative_information_score: 54.0779, 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: 0.4737, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0582, root_relative_squared_error: 1.0432, scimark_benchmark: 926.9727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, build_cpu_time: 0.0095, build_memory: 603605213.0131, f_measure: 0.9925, kappa: -0.0009, kb_relative_information_score: 54.0779, 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: 0.4737, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0582, root_relative_squared_error: 1.0432, scimark_benchmark: 942.4281,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2429, f_measure: 0.9934, kappa: 0.1655, kb_relative_information_score: -962.3333, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9916, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0582, root_relative_squared_error: 1.0421, scimark_benchmark: 946.0279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.993, kb_relative_information_score: -2377.9336, 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: 0.7897, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0568, root_relative_squared_error: 1.0179, scimark_benchmark: 945.3152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7805, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -1503.9935, mean_absolute_error: 0.0058, 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: 0.7758, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.061, root_relative_squared_error: 1.0922, scimark_benchmark: 946.3146,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2494, 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: 942.2312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, 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: 943.9742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4958, f_measure: 0.9911, kappa: -0.0038, kb_relative_information_score: -295.0309, mean_absolute_error: 0.0054, 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: 0.7272, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0727, root_relative_squared_error: 1.3023, scimark_benchmark: 909.0821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4475, f_measure: 0.993, kb_relative_information_score: -1146.1198, mean_absolute_error: 0.0063, 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: 0.8393, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0561, root_relative_squared_error: 1.0051, scimark_benchmark: 908.4979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6968, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -29.501, 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: 0.5053, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0598, root_relative_squared_error: 1.0712, scimark_benchmark: 940.2956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2494, 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: 465.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9837, kappa: 0.2001, kb_relative_information_score: -5162.6749, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9947, predictive_accuracy: 0.9747, prior_entropy: 0.0626, recall: 0.9747, relative_absolute_error: 2.6172, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.1164, root_relative_squared_error: 2.0844, scimark_benchmark: 903.1613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4911, f_measure: 0.9911, kappa: -0.0038, kb_relative_information_score: -366.8803, mean_absolute_error: 0.0055, 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: 0.7395, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0728, root_relative_squared_error: 1.3037, scimark_benchmark: 940.5317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5674, f_measure: 0.993, kb_relative_information_score: -1272.6907, mean_absolute_error: 0.0056, 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: 0.748, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0571, root_relative_squared_error: 1.0225, scimark_benchmark: 925.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4688, f_measure: 0.993, kb_relative_information_score: -847.5299, 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: 0.8014, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0559, root_relative_squared_error: 1.0007, scimark_benchmark: 941.1031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5978, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -110.6477, mean_absolute_error: 0.0041, 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: 0.5441, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0608, root_relative_squared_error: 1.0897, scimark_benchmark: 945.3761,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.9911, kappa: -0.0038, kb_relative_information_score: -2401.5574, mean_absolute_error: 0.0093, 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: 1.2518, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0673, root_relative_squared_error: 1.2048, scimark_benchmark: 937.7244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.9911, kappa: -0.0038, kb_relative_information_score: -373.8309, mean_absolute_error: 0.0055, 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: 0.7438, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0729, root_relative_squared_error: 1.3051, scimark_benchmark: 943.1306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2494, 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: 902.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6207, f_measure: 0.992, kappa: -0.0024, kb_relative_information_score: -1470.0112, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9934, prior_entropy: 0.0626, recall: 0.9934, relative_absolute_error: 0.8831, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0681, root_relative_squared_error: 1.2192, scimark_benchmark: 921.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -95570.6357, 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: 29.7573, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.2658, root_relative_squared_error: 4.7612, scimark_benchmark: 919.7731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.9911, kappa: -0.0038, kb_relative_information_score: -329.437, mean_absolute_error: 0.0056, 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: 0.7563, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.075, root_relative_squared_error: 1.3439, scimark_benchmark: 940.7565,

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