Task
Supervised Classification on solar-flare

Supervised Classification on solar-flare

Task 2114 Supervised Classification solar-flare 311 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9957, kb_relative_information_score: 7.7358, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9972, prior_entropy: 0.0626, recall: 0.9972, relative_absolute_error: 0.8986, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.0436, root_relative_squared_error: 0.9992, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.9929, kappa: -0.0029, kb_relative_information_score: -595.6092, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9915, prior_entropy: 0.0626, recall: 0.9915, relative_absolute_error: 1.1848, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.0764, root_relative_squared_error: 1.7516, scimark_benchmark: 851.2074, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9847, kappa: 0.1776, kb_relative_information_score: -1518.3515, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9974, predictive_accuracy: 0.9744, prior_entropy: 0.0626, recall: 0.9744, relative_absolute_error: 3.0991, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.1242, root_relative_squared_error: 2.8494, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.9943, kappa: -0.0029, kb_relative_information_score: -757.4054, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 0.0626, recall: 0.9943, relative_absolute_error: 1.0412, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.0583, root_relative_squared_error: 1.3376, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.9943, kappa: -0.0029, kb_relative_information_score: -757.4054, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 0.0626, recall: 0.9943, relative_absolute_error: 1.0412, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.0583, root_relative_squared_error: 1.3376, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.01, f_measure: 0.9957, kb_relative_information_score: -39.1622, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9972, prior_entropy: 0.0626, recall: 0.9972, relative_absolute_error: 0.7074, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.0438, root_relative_squared_error: 1.0039, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.9943, kappa: -0.0029, kb_relative_information_score: -757.4054, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 0.0626, recall: 0.9943, relative_absolute_error: 1.0412, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.0583, root_relative_squared_error: 1.3376, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9957, kb_relative_information_score: -630.8948, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9972, prior_entropy: 0.0626, recall: 0.9972, relative_absolute_error: 0.6753, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.0462, root_relative_squared_error: 1.0593, scimark_benchmark: 931.771, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9957, kb_relative_information_score: 52.9074, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9972, prior_entropy: 0.0626, recall: 0.9972, relative_absolute_error: 0.3042, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.0436, root_relative_squared_error: 0.9996, scimark_benchmark: 941.3847, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9847, kappa: 0.1776, kb_relative_information_score: -1518.3515, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9974, predictive_accuracy: 0.9744, prior_entropy: 0.0626, recall: 0.9744, relative_absolute_error: 3.0991, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.1242, root_relative_squared_error: 2.8494, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.9943, kappa: -0.0029, kb_relative_information_score: -757.4054, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 0.0626, recall: 0.9943, relative_absolute_error: 1.0412, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.0583, root_relative_squared_error: 1.3376, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.9943, kappa: -0.0029, kb_relative_information_score: -394.5432, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 0.0626, recall: 0.9943, relative_absolute_error: 0.7448, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.0537, root_relative_squared_error: 1.2308, scimark_benchmark: 936.3373, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9957, kb_relative_information_score: -630.8948, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9972, prior_entropy: 0.0626, recall: 0.9972, relative_absolute_error: 0.6753, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.0462, root_relative_squared_error: 1.0593, scimark_benchmark: 943.1009, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9957, kb_relative_information_score: 7.7358, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9972, prior_entropy: 0.0626, recall: 0.9972, relative_absolute_error: 0.8986, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.0436, root_relative_squared_error: 0.9992, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.9929, kappa: -0.0029, kb_relative_information_score: -595.6092, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9915, prior_entropy: 0.0626, recall: 0.9915, relative_absolute_error: 1.1848, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.0764, root_relative_squared_error: 1.7516, scimark_benchmark: 944.0133, usercpu_time_millis: 340, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9957, kb_relative_information_score: 52.9074, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9972, prior_entropy: 0.0626, recall: 0.9972, relative_absolute_error: 0.3042, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.0436, root_relative_squared_error: 0.9996, scimark_benchmark: 927.2882, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9957, kb_relative_information_score: 52.9074, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9972, prior_entropy: 0.0626, recall: 0.9972, relative_absolute_error: 0.3042, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.0436, root_relative_squared_error: 0.9996, scimark_benchmark: 934.5964, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.9943, kappa: -0.0029, kb_relative_information_score: -757.4054, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 0.0626, recall: 0.9943, relative_absolute_error: 1.0412, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.0583, root_relative_squared_error: 1.3376, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.01, f_measure: 0.9957, kb_relative_information_score: -39.1622, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9972, prior_entropy: 0.0626, recall: 0.9972, relative_absolute_error: 0.7074, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.0438, root_relative_squared_error: 1.0039, scimark_benchmark: 941.4991, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.9943, kappa: -0.0029, kb_relative_information_score: -757.4054, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 0.0626, recall: 0.9943, relative_absolute_error: 1.0412, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.0583, root_relative_squared_error: 1.3376, scimark_benchmark: 945.6228, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.9943, kappa: -0.0029, kb_relative_information_score: -394.5432, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 0.0626, recall: 0.9943, relative_absolute_error: 0.7448, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.0537, root_relative_squared_error: 1.2308, scimark_benchmark: 936.3213, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9957, kb_relative_information_score: -630.8948, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9972, prior_entropy: 0.0626, recall: 0.9972, relative_absolute_error: 0.6753, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.0462, root_relative_squared_error: 1.0593, scimark_benchmark: 945.6228, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9957, kb_relative_information_score: 7.7358, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9972, prior_entropy: 0.0626, recall: 0.9972, relative_absolute_error: 0.8986, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.0436, root_relative_squared_error: 0.9992, scimark_benchmark: 927.2882, usercpu_time_millis: 7220, usercpu_time_millis_testing: 3280, usercpu_time_millis_training: 3940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0129, f_measure: 0.9957, kb_relative_information_score: 8.1524, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9972, prior_entropy: 0.0626, recall: 0.9972, relative_absolute_error: 0.893, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.0436, root_relative_squared_error: 0.9992, scimark_benchmark: 901.4991, usercpu_time_millis: 2970, usercpu_time_millis_testing: 1050, usercpu_time_millis_training: 1920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9957, kb_relative_information_score: 7.7358, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9972, prior_entropy: 0.0626, recall: 0.9972, relative_absolute_error: 0.8986, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.0436, root_relative_squared_error: 0.9992, scimark_benchmark: 891.6381, usercpu_time_millis: 2130, usercpu_time_millis_testing: 560, usercpu_time_millis_training: 1570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9957, kb_relative_information_score: 7.7358, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9972, prior_entropy: 0.0626, recall: 0.9972, relative_absolute_error: 0.8986, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.0436, root_relative_squared_error: 0.9992, scimark_benchmark: 935.0213, usercpu_time_millis: 690, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9957, kb_relative_information_score: 7.7358, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9972, prior_entropy: 0.0626, recall: 0.9972, relative_absolute_error: 0.8986, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.0436, root_relative_squared_error: 0.9992, scimark_benchmark: 894.7131, usercpu_time_millis: 350, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9957, kb_relative_information_score: -1964.2687, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9972, prior_entropy: 0.0626, recall: 0.9972, relative_absolute_error: 1.1923, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.0437, root_relative_squared_error: 1.0022, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.9943, kappa: -0.0014, kb_relative_information_score: -62.7385, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 0.0626, recall: 0.9943, relative_absolute_error: 0.6026, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.061, root_relative_squared_error: 1.4, scimark_benchmark: 926.5859, usercpu_time_millis: 290, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4971, f_measure: 0.9957, kb_relative_information_score: 52.8486, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9972, prior_entropy: 0.0626, recall: 0.9972, relative_absolute_error: 0.305, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.0436, root_relative_squared_error: 0.9996, scimark_benchmark: 936.1714, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4971, f_measure: 0.9957, kb_relative_information_score: 52.9062, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9972, prior_entropy: 0.0626, recall: 0.9972, relative_absolute_error: 0.3042, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.0436, root_relative_squared_error: 0.9996, scimark_benchmark: 935.6052, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9957, kb_relative_information_score: 52.9074, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9972, prior_entropy: 0.0626, recall: 0.9972, relative_absolute_error: 0.3042, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.0436, root_relative_squared_error: 0.9996, scimark_benchmark: 938.3115, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9957, kb_relative_information_score: 52.9074, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9972, prior_entropy: 0.0626, recall: 0.9972, relative_absolute_error: 0.3042, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.0436, root_relative_squared_error: 0.9996, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9957, kb_relative_information_score: 52.9074, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9972, prior_entropy: 0.0626, recall: 0.9972, relative_absolute_error: 0.3042, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.0436, root_relative_squared_error: 0.9996, scimark_benchmark: 941.9549,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9957, kb_relative_information_score: -1194.6406, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9972, prior_entropy: 0.0626, recall: 0.9972, relative_absolute_error: 0.8518, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.041, root_relative_squared_error: 0.9398, scimark_benchmark: 931.7994,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.9943, kappa: -0.0029, kb_relative_information_score: -757.4054, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 0.0626, recall: 0.9943, relative_absolute_error: 1.0412, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.0583, root_relative_squared_error: 1.3376, scimark_benchmark: 1323.3376, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.9943, kappa: -0.0029, kb_relative_information_score: -757.4054, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 0.0626, recall: 0.9943, relative_absolute_error: 1.0412, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.0583, root_relative_squared_error: 1.3376, scimark_benchmark: 1364.5528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.01, f_measure: 0.9957, kb_relative_information_score: -39.1622, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9972, prior_entropy: 0.0626, recall: 0.9972, relative_absolute_error: 0.7074, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.0438, root_relative_squared_error: 1.0039, scimark_benchmark: 1329.5628, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.9943, kappa: -0.0029, kb_relative_information_score: -757.4054, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 0.0626, recall: 0.9943, relative_absolute_error: 1.0412, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.0583, root_relative_squared_error: 1.3376, scimark_benchmark: 1347.7267, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.9943, kappa: -0.0029, kb_relative_information_score: -394.5432, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 0.0626, recall: 0.9943, relative_absolute_error: 0.7448, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.0537, root_relative_squared_error: 1.2308, scimark_benchmark: 1345.0202, usercpu_time_millis: 220, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9957, kb_relative_information_score: -630.8948, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9972, prior_entropy: 0.0626, recall: 0.9972, relative_absolute_error: 0.6753, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.0462, root_relative_squared_error: 1.0593, scimark_benchmark: 1325.6322, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9957, kb_relative_information_score: 7.7358, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9972, prior_entropy: 0.0626, recall: 0.9972, relative_absolute_error: 0.8986, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.0436, root_relative_squared_error: 0.9992, scimark_benchmark: 1371.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.9943, kappa: -0.0014, kb_relative_information_score: -452.9196, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 0.0626, recall: 0.9943, relative_absolute_error: 0.8427, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.0623, root_relative_squared_error: 1.4298, scimark_benchmark: 1323.4116, usercpu_time_millis: 780, usercpu_time_millis_testing: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.9943, kappa: -0.0029, kb_relative_information_score: -757.4054, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 0.0626, recall: 0.9943, relative_absolute_error: 1.0412, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.0583, root_relative_squared_error: 1.3376, scimark_benchmark: 1350.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9957, kb_relative_information_score: -630.8948, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9972, prior_entropy: 0.0626, recall: 0.9972, relative_absolute_error: 0.6753, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.0462, root_relative_squared_error: 1.0593, scimark_benchmark: 929.0363, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9957, kb_relative_information_score: 52.9074, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9972, prior_entropy: 0.0626, recall: 0.9972, relative_absolute_error: 0.3042, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.0436, root_relative_squared_error: 0.9996, scimark_benchmark: 1347.4442, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9847, kappa: 0.1776, kb_relative_information_score: -1518.3515, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9974, predictive_accuracy: 0.9744, prior_entropy: 0.0626, recall: 0.9744, relative_absolute_error: 3.0991, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.1242, root_relative_squared_error: 2.8494, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.9943, kappa: -0.0029, kb_relative_information_score: -757.4054, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 0.0626, recall: 0.9943, relative_absolute_error: 1.0412, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.0583, root_relative_squared_error: 1.3376, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.9943, kappa: -0.0029, kb_relative_information_score: -757.4054, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 0.0626, recall: 0.9943, relative_absolute_error: 1.0412, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.0583, root_relative_squared_error: 1.3376, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9957, kb_relative_information_score: -630.8948, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9972, prior_entropy: 0.0626, recall: 0.9972, relative_absolute_error: 0.6753, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.0462, root_relative_squared_error: 1.0593, scimark_benchmark: 1347.993, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9957, kb_relative_information_score: -630.8948, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9972, prior_entropy: 0.0626, recall: 0.9972, relative_absolute_error: 0.6753, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.0462, root_relative_squared_error: 1.0593, scimark_benchmark: 1326.8946, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9957, kb_relative_information_score: 52.9074, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9972, prior_entropy: 0.0626, recall: 0.9972, relative_absolute_error: 0.3042, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.0436, root_relative_squared_error: 0.9996, scimark_benchmark: 918.0213, usercpu_time_millis: 70, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9847, kappa: 0.1776, kb_relative_information_score: -1518.3515, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9974, predictive_accuracy: 0.9744, prior_entropy: 0.0626, recall: 0.9744, relative_absolute_error: 3.0991, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.1242, root_relative_squared_error: 2.8494, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.9943, kappa: -0.0029, kb_relative_information_score: -757.4054, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 0.0626, recall: 0.9943, relative_absolute_error: 1.0412, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.0583, root_relative_squared_error: 1.3376, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.01, f_measure: 0.9957, kb_relative_information_score: -39.1622, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9972, prior_entropy: 0.0626, recall: 0.9972, relative_absolute_error: 0.7074, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.0438, root_relative_squared_error: 1.0039, scimark_benchmark: 918.0213, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.9943, kappa: -0.0029, kb_relative_information_score: -757.4054, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 0.0626, recall: 0.9943, relative_absolute_error: 1.0412, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.0583, root_relative_squared_error: 1.3376, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.9943, kappa: -0.0029, kb_relative_information_score: -757.4054, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 0.0626, recall: 0.9943, relative_absolute_error: 1.0412, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.0583, root_relative_squared_error: 1.3376, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,

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 33% Holdout set
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