Task
Supervised Classification on solar-flare

Supervised Classification on solar-flare

Task 2113 Supervised Classification solar-flare 366 runs submitted
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0 likes - 0 downloads - 0 reach - f_measure: 1, kappa: 1, kb_relative_information_score: -248.1655, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.0246, number_of_instances: 106, precision: 1, predictive_accuracy: 1, prior_entropy: 0.1666, recall: 1, relative_absolute_error: 1.3105, root_mean_prior_squared_error: 0.0246, root_mean_squared_error: 0.0323, root_relative_squared_error: 1.3105, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - f_measure: 1, kappa: 1, kb_relative_information_score: -281.278, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.0246, number_of_instances: 106, precision: 1, predictive_accuracy: 1, prior_entropy: 0.1666, recall: 1, relative_absolute_error: 1.4978, root_mean_prior_squared_error: 0.0246, root_mean_squared_error: 0.0726, root_relative_squared_error: 2.9478, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - f_measure: 0.9905, kb_relative_information_score: -154.6343, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.0246, number_of_instances: 106, precision: 1, predictive_accuracy: 0.9811, prior_entropy: 0.1666, recall: 0.9811, relative_absolute_error: 1.2593, root_mean_prior_squared_error: 0.0246, root_mean_squared_error: 0.0888, root_relative_squared_error: 3.6067, scimark_benchmark: 851.2074, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - f_measure: 1, kappa: 1, kb_relative_information_score: -113.8824, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0246, number_of_instances: 106, precision: 1, predictive_accuracy: 1, prior_entropy: 0.1666, recall: 1, relative_absolute_error: 0.664, root_mean_prior_squared_error: 0.0246, root_mean_squared_error: 0.055, root_relative_squared_error: 2.2357, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - f_measure: 1, kappa: 1, kb_relative_information_score: -113.8824, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0246, number_of_instances: 106, precision: 1, predictive_accuracy: 1, prior_entropy: 0.1666, recall: 1, relative_absolute_error: 0.664, root_mean_prior_squared_error: 0.0246, root_mean_squared_error: 0.055, root_relative_squared_error: 2.2357, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - f_measure: 1, kappa: 1, kb_relative_information_score: -20.3672, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.0246, number_of_instances: 106, precision: 1, predictive_accuracy: 1, prior_entropy: 0.1666, recall: 1, relative_absolute_error: 0.9715, root_mean_prior_squared_error: 0.0246, root_mean_squared_error: 0.024, root_relative_squared_error: 0.9752, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - f_measure: 1, kappa: 1, kb_relative_information_score: -73.479, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0246, number_of_instances: 106, precision: 1, predictive_accuracy: 1, prior_entropy: 0.1666, recall: 1, relative_absolute_error: 0.5699, root_mean_prior_squared_error: 0.0246, root_mean_squared_error: 0.0524, root_relative_squared_error: 2.1302, scimark_benchmark: 943.8235, usercpu_time_millis: 830, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 800,
0 likes - 0 downloads - 0 reach - f_measure: 1, kappa: 1, kb_relative_information_score: -113.8824, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0246, number_of_instances: 106, precision: 1, predictive_accuracy: 1, prior_entropy: 0.1666, recall: 1, relative_absolute_error: 0.664, root_mean_prior_squared_error: 0.0246, root_mean_squared_error: 0.055, root_relative_squared_error: 2.2357, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - f_measure: 0.9953, kb_relative_information_score: -138.671, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.0246, number_of_instances: 106, precision: 1, predictive_accuracy: 0.9906, prior_entropy: 0.1666, recall: 0.9906, relative_absolute_error: 0.8147, root_mean_prior_squared_error: 0.0246, root_mean_squared_error: 0.0727, root_relative_squared_error: 2.9529, scimark_benchmark: 931.771, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - f_measure: 1, kappa: 1, kb_relative_information_score: 22.8745, mean_prior_absolute_error: 0.0246, number_of_instances: 106, precision: 1, predictive_accuracy: 1, prior_entropy: 0.1666, recall: 1, root_mean_prior_squared_error: 0.0246, scimark_benchmark: 941.3847, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - f_measure: 1, kappa: 1, kb_relative_information_score: -113.8824, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0246, number_of_instances: 106, precision: 1, predictive_accuracy: 1, prior_entropy: 0.1666, recall: 1, relative_absolute_error: 0.664, root_mean_prior_squared_error: 0.0246, root_mean_squared_error: 0.055, root_relative_squared_error: 2.2357, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - f_measure: 1, kappa: 1, kb_relative_information_score: -113.8824, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0246, number_of_instances: 106, precision: 1, predictive_accuracy: 1, prior_entropy: 0.1666, recall: 1, relative_absolute_error: 0.664, root_mean_prior_squared_error: 0.0246, root_mean_squared_error: 0.055, root_relative_squared_error: 2.2357, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - f_measure: 1, kappa: 1, kb_relative_information_score: -113.8824, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0246, number_of_instances: 106, precision: 1, predictive_accuracy: 1, prior_entropy: 0.1666, recall: 1, relative_absolute_error: 0.664, root_mean_prior_squared_error: 0.0246, root_mean_squared_error: 0.055, root_relative_squared_error: 2.2357, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - f_measure: 1, kappa: 1, kb_relative_information_score: -113.8824, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0246, number_of_instances: 106, precision: 1, predictive_accuracy: 1, prior_entropy: 0.1666, recall: 1, relative_absolute_error: 0.664, root_mean_prior_squared_error: 0.0246, root_mean_squared_error: 0.055, root_relative_squared_error: 2.2357, scimark_benchmark: 947.1781, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - f_measure: 1, kappa: 1, kb_relative_information_score: -51.0106, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.0246, number_of_instances: 106, precision: 1, predictive_accuracy: 1, prior_entropy: 0.1666, recall: 1, relative_absolute_error: 0.3396, root_mean_prior_squared_error: 0.0246, root_mean_squared_error: 0.0414, root_relative_squared_error: 1.6812, scimark_benchmark: 936.3373, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - f_measure: 0.9953, kb_relative_information_score: -138.671, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.0246, number_of_instances: 106, precision: 1, predictive_accuracy: 0.9906, prior_entropy: 0.1666, recall: 0.9906, relative_absolute_error: 0.8147, root_mean_prior_squared_error: 0.0246, root_mean_squared_error: 0.0727, root_relative_squared_error: 2.9529, scimark_benchmark: 943.1009, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - f_measure: 1, kappa: 1, kb_relative_information_score: -248.1655, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.0246, number_of_instances: 106, precision: 1, predictive_accuracy: 1, prior_entropy: 0.1666, recall: 1, relative_absolute_error: 1.3105, root_mean_prior_squared_error: 0.0246, root_mean_squared_error: 0.0323, root_relative_squared_error: 1.3105, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - f_measure: 1, kappa: 1, kb_relative_information_score: -281.278, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.0246, number_of_instances: 106, precision: 1, predictive_accuracy: 1, prior_entropy: 0.1666, recall: 1, relative_absolute_error: 1.4978, root_mean_prior_squared_error: 0.0246, root_mean_squared_error: 0.0726, root_relative_squared_error: 2.9478, scimark_benchmark: 935.2002,
0 likes - 0 downloads - 0 reach - f_measure: 0.9905, kb_relative_information_score: -154.6343, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.0246, number_of_instances: 106, precision: 1, predictive_accuracy: 0.9811, prior_entropy: 0.1666, recall: 0.9811, relative_absolute_error: 1.2593, root_mean_prior_squared_error: 0.0246, root_mean_squared_error: 0.0888, root_relative_squared_error: 3.6067, scimark_benchmark: 944.0133, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - f_measure: 1, kappa: 1, kb_relative_information_score: 22.8745, mean_prior_absolute_error: 0.0246, number_of_instances: 106, precision: 1, predictive_accuracy: 1, prior_entropy: 0.1666, recall: 1, root_mean_prior_squared_error: 0.0246, scimark_benchmark: 934.5964, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - f_measure: 1, kappa: 1, kb_relative_information_score: -113.8824, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0246, number_of_instances: 106, precision: 1, predictive_accuracy: 1, prior_entropy: 0.1666, recall: 1, relative_absolute_error: 0.664, root_mean_prior_squared_error: 0.0246, root_mean_squared_error: 0.055, root_relative_squared_error: 2.2357, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - f_measure: 1, kappa: 1, kb_relative_information_score: -113.8824, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0246, number_of_instances: 106, precision: 1, predictive_accuracy: 1, prior_entropy: 0.1666, recall: 1, relative_absolute_error: 0.664, root_mean_prior_squared_error: 0.0246, root_mean_squared_error: 0.055, root_relative_squared_error: 2.2357, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - f_measure: 1, kappa: 1, kb_relative_information_score: -113.8824, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0246, number_of_instances: 106, precision: 1, predictive_accuracy: 1, prior_entropy: 0.1666, recall: 1, relative_absolute_error: 0.664, root_mean_prior_squared_error: 0.0246, root_mean_squared_error: 0.055, root_relative_squared_error: 2.2357, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - f_measure: 1, kappa: 1, kb_relative_information_score: -20.3672, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.0246, number_of_instances: 106, precision: 1, predictive_accuracy: 1, prior_entropy: 0.1666, recall: 1, relative_absolute_error: 0.9715, root_mean_prior_squared_error: 0.0246, root_mean_squared_error: 0.024, root_relative_squared_error: 0.9752, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - f_measure: 1, kappa: 1, kb_relative_information_score: -73.479, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0246, number_of_instances: 106, precision: 1, predictive_accuracy: 1, prior_entropy: 0.1666, recall: 1, relative_absolute_error: 0.5699, root_mean_prior_squared_error: 0.0246, root_mean_squared_error: 0.0524, root_relative_squared_error: 2.1302, scimark_benchmark: 906.0979, usercpu_time_millis: 930, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 900,
0 likes - 0 downloads - 0 reach - f_measure: 1, kappa: 1, kb_relative_information_score: -113.8824, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0246, number_of_instances: 106, precision: 1, predictive_accuracy: 1, prior_entropy: 0.1666, recall: 1, relative_absolute_error: 0.664, root_mean_prior_squared_error: 0.0246, root_mean_squared_error: 0.055, root_relative_squared_error: 2.2357, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - f_measure: 1, kappa: 1, kb_relative_information_score: -51.0106, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.0246, number_of_instances: 106, precision: 1, predictive_accuracy: 1, prior_entropy: 0.1666, recall: 1, relative_absolute_error: 0.3396, root_mean_prior_squared_error: 0.0246, root_mean_squared_error: 0.0414, root_relative_squared_error: 1.6812, scimark_benchmark: 936.3213, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - f_measure: 0.9953, kb_relative_information_score: -138.671, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.0246, number_of_instances: 106, precision: 1, predictive_accuracy: 0.9906, prior_entropy: 0.1666, recall: 0.9906, relative_absolute_error: 0.8147, root_mean_prior_squared_error: 0.0246, root_mean_squared_error: 0.0727, root_relative_squared_error: 2.9529, scimark_benchmark: 945.6228, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - f_measure: 1, kappa: 1, kb_relative_information_score: -240.9033, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.0246, number_of_instances: 106, precision: 1, predictive_accuracy: 1, prior_entropy: 0.1666, recall: 1, relative_absolute_error: 1.3023, root_mean_prior_squared_error: 0.0246, root_mean_squared_error: 0.0321, root_relative_squared_error: 1.3049, scimark_benchmark: 927.2882, usercpu_time_millis: 2320, usercpu_time_millis_testing: 1160, usercpu_time_millis_training: 1160,
0 likes - 0 downloads - 0 reach - f_measure: 1, kappa: 1, kb_relative_information_score: -248.1655, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.0246, number_of_instances: 106, precision: 1, predictive_accuracy: 1, prior_entropy: 0.1666, recall: 1, relative_absolute_error: 1.3105, root_mean_prior_squared_error: 0.0246, root_mean_squared_error: 0.0323, root_relative_squared_error: 1.3105, scimark_benchmark: 901.4991, usercpu_time_millis: 890, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - f_measure: 1, kappa: 1, kb_relative_information_score: -248.1655, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.0246, number_of_instances: 106, precision: 1, predictive_accuracy: 1, prior_entropy: 0.1666, recall: 1, relative_absolute_error: 1.3105, root_mean_prior_squared_error: 0.0246, root_mean_squared_error: 0.0323, root_relative_squared_error: 1.3105, scimark_benchmark: 891.6381, usercpu_time_millis: 530, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - f_measure: 1, kappa: 1, kb_relative_information_score: -248.1655, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.0246, number_of_instances: 106, precision: 1, predictive_accuracy: 1, prior_entropy: 0.1666, recall: 1, relative_absolute_error: 1.3105, root_mean_prior_squared_error: 0.0246, root_mean_squared_error: 0.0323, root_relative_squared_error: 1.3105, scimark_benchmark: 935.0213, usercpu_time_millis: 200, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - f_measure: 1, kappa: 1, kb_relative_information_score: -212.4656, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.0246, number_of_instances: 106, precision: 1, predictive_accuracy: 1, prior_entropy: 0.1666, recall: 1, relative_absolute_error: 1.2829, root_mean_prior_squared_error: 0.0246, root_mean_squared_error: 0.033, root_relative_squared_error: 1.3415, scimark_benchmark: 894.7131, usercpu_time_millis: 170, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - f_measure: 1, kappa: 1, kb_relative_information_score: -53.8451, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.0246, number_of_instances: 106, precision: 1, predictive_accuracy: 1, prior_entropy: 0.1666, recall: 1, relative_absolute_error: 0.3509, root_mean_prior_squared_error: 0.0246, root_mean_squared_error: 0.0357, root_relative_squared_error: 1.4498, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - f_measure: 1, kappa: 1, kb_relative_information_score: -53.8451, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.0246, number_of_instances: 106, precision: 1, predictive_accuracy: 1, prior_entropy: 0.1666, recall: 1, relative_absolute_error: 0.3509, root_mean_prior_squared_error: 0.0246, root_mean_squared_error: 0.0357, root_relative_squared_error: 1.4498, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - f_measure: 1, kappa: 1, kb_relative_information_score: -53.8451, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.0246, number_of_instances: 106, precision: 1, predictive_accuracy: 1, prior_entropy: 0.1666, recall: 1, relative_absolute_error: 0.3509, root_mean_prior_squared_error: 0.0246, root_mean_squared_error: 0.0357, root_relative_squared_error: 1.4498, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - f_measure: 1, kappa: 1, kb_relative_information_score: -53.8451, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.0246, number_of_instances: 106, precision: 1, predictive_accuracy: 1, prior_entropy: 0.1666, recall: 1, relative_absolute_error: 0.3509, root_mean_prior_squared_error: 0.0246, root_mean_squared_error: 0.0357, root_relative_squared_error: 1.4498, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - f_measure: 1, kappa: 1, kb_relative_information_score: -66.204, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.0246, number_of_instances: 106, precision: 1, predictive_accuracy: 1, prior_entropy: 0.1666, recall: 1, relative_absolute_error: 0.402, root_mean_prior_squared_error: 0.0246, root_mean_squared_error: 0.0346, root_relative_squared_error: 1.4043, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - f_measure: 1, kappa: 1, kb_relative_information_score: -362.3091, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.0246, number_of_instances: 106, precision: 1, predictive_accuracy: 1, prior_entropy: 0.1666, recall: 1, relative_absolute_error: 1.484, root_mean_prior_squared_error: 0.0246, root_mean_squared_error: 0.0365, root_relative_squared_error: 1.484, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - f_measure: 1, kappa: 1, kb_relative_information_score: 22.7813, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.0246, number_of_instances: 106, precision: 1, predictive_accuracy: 1, prior_entropy: 0.1666, recall: 1, relative_absolute_error: 0.0041, root_mean_prior_squared_error: 0.0246, root_mean_squared_error: 0.001, root_relative_squared_error: 0.0417, scimark_benchmark: 936.1714, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - f_measure: 1, kappa: 1, kb_relative_information_score: 22.8129, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.0246, number_of_instances: 106, precision: 1, predictive_accuracy: 1, prior_entropy: 0.1666, recall: 1, relative_absolute_error: 0.0027, root_mean_prior_squared_error: 0.0246, root_mean_squared_error: 0.0007, root_relative_squared_error: 0.0271, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - f_measure: 1, kappa: 1, kb_relative_information_score: 22.8599, mean_absolute_error: 0, mean_prior_absolute_error: 0.0246, number_of_instances: 106, precision: 1, predictive_accuracy: 1, prior_entropy: 0.1666, recall: 1, relative_absolute_error: 0.0006, root_mean_prior_squared_error: 0.0246, root_mean_squared_error: 0.0002, root_relative_squared_error: 0.0065, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - f_measure: 1, kappa: 1, kb_relative_information_score: 22.8718, mean_absolute_error: 0, mean_prior_absolute_error: 0.0246, number_of_instances: 106, precision: 1, predictive_accuracy: 1, prior_entropy: 0.1666, recall: 1, relative_absolute_error: 0.0001, root_mean_prior_squared_error: 0.0246, root_mean_squared_error: 0, root_relative_squared_error: 0.0012, scimark_benchmark: 941.9549,
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0 likes - 0 downloads - 0 reach - f_measure: 1, kappa: 1, kb_relative_information_score: -113.8824, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0246, number_of_instances: 106, precision: 1, predictive_accuracy: 1, prior_entropy: 0.1666, recall: 1, relative_absolute_error: 0.664, root_mean_prior_squared_error: 0.0246, root_mean_squared_error: 0.055, root_relative_squared_error: 2.2357, scimark_benchmark: 1327.3335,
0 likes - 0 downloads - 0 reach - f_measure: 1, kappa: 1, kb_relative_information_score: -20.3672, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.0246, number_of_instances: 106, precision: 1, predictive_accuracy: 1, prior_entropy: 0.1666, recall: 1, relative_absolute_error: 0.9715, root_mean_prior_squared_error: 0.0246, root_mean_squared_error: 0.024, root_relative_squared_error: 0.9752, scimark_benchmark: 1339.4412,
0 likes - 0 downloads - 0 reach - f_measure: 1, kappa: 1, kb_relative_information_score: -113.8824, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0246, number_of_instances: 106, precision: 1, predictive_accuracy: 1, prior_entropy: 0.1666, recall: 1, relative_absolute_error: 0.664, root_mean_prior_squared_error: 0.0246, root_mean_squared_error: 0.055, root_relative_squared_error: 2.2357, scimark_benchmark: 1318.4315,
0 likes - 0 downloads - 0 reach - f_measure: 0.9953, kb_relative_information_score: -138.671, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.0246, number_of_instances: 106, precision: 1, predictive_accuracy: 0.9906, prior_entropy: 0.1666, recall: 0.9906, relative_absolute_error: 0.8147, root_mean_prior_squared_error: 0.0246, root_mean_squared_error: 0.0727, root_relative_squared_error: 2.9529, scimark_benchmark: 1310.6554, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - f_measure: 1, kappa: 1, kb_relative_information_score: 22.8745, mean_prior_absolute_error: 0.0246, number_of_instances: 106, precision: 1, predictive_accuracy: 1, prior_entropy: 0.1666, recall: 1, root_mean_prior_squared_error: 0.0246, scimark_benchmark: 1319.688,
0 likes - 0 downloads - 0 reach - f_measure: 1, kappa: 1, kb_relative_information_score: -281.278, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.0246, number_of_instances: 106, precision: 1, predictive_accuracy: 1, prior_entropy: 0.1666, recall: 1, relative_absolute_error: 1.4978, root_mean_prior_squared_error: 0.0246, root_mean_squared_error: 0.0726, root_relative_squared_error: 2.9478, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - f_measure: 0.9905, kb_relative_information_score: -154.6343, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.0246, number_of_instances: 106, precision: 1, predictive_accuracy: 0.9811, prior_entropy: 0.1666, recall: 0.9811, relative_absolute_error: 1.2593, root_mean_prior_squared_error: 0.0246, root_mean_squared_error: 0.0888, root_relative_squared_error: 3.6067, scimark_benchmark: 1336.0954, usercpu_time_millis: 40, usercpu_time_millis_training: 40,

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 (1)
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