Task
Supervised Classification on solar-flare

Supervised Classification on solar-flare

Task 2933 Supervised Classification solar-flare 191 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2494, f_measure: 0.993, kb_relative_information_score: 455.0827, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, 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: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.9906, kappa: -0.004, kb_relative_information_score: -17924.6465, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9906, prior_entropy: 0.0626, recall: 0.9906, relative_absolute_error: 1.016, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0751, root_relative_squared_error: 1.3459, scimark_benchmark: 851.2074, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.993, kb_relative_information_score: 1602.3705, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0559, root_relative_squared_error: 1.0017, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.9923, kappa: 0.1651, kb_relative_information_score: -22196.762, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.992, predictive_accuracy: 0.9926, prior_entropy: 0.0626, recall: 0.9926, relative_absolute_error: 0.9666, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0648, root_relative_squared_error: 1.1607, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5794, f_measure: 0.993, kb_relative_information_score: -7866.7771, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.7944, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0561, root_relative_squared_error: 1.0043, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.9923, kappa: 0.1651, kb_relative_information_score: -22196.762, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.992, predictive_accuracy: 0.9926, prior_entropy: 0.0626, recall: 0.9926, relative_absolute_error: 0.9666, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0648, root_relative_squared_error: 1.1607, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.9925, kappa: -0.0013, kb_relative_information_score: -19882.4733, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9945, prior_entropy: 0.0626, recall: 0.9945, relative_absolute_error: 0.7729, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0593, root_relative_squared_error: 1.0619, 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: 0.993, kb_relative_information_score: 1602.3705, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0559, root_relative_squared_error: 1.0017, scimark_benchmark: 974.2014, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.9923, kappa: 0.1651, kb_relative_information_score: -22196.762, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.992, predictive_accuracy: 0.9926, prior_entropy: 0.0626, recall: 0.9926, relative_absolute_error: 0.9666, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0648, root_relative_squared_error: 1.1607, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.9926, kappa: 0.046, kb_relative_information_score: -8288.0272, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9909, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 0.5936, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0573, root_relative_squared_error: 1.0264, 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: 0.869, f_measure: 0.9925, kappa: -0.0013, kb_relative_information_score: -19882.4733, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9945, prior_entropy: 0.0626, recall: 0.9945, relative_absolute_error: 0.7729, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0593, root_relative_squared_error: 1.0619, 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: 0.2494, f_measure: 0.993, kb_relative_information_score: 455.0827, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, 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: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.9906, kappa: -0.004, kb_relative_information_score: -17924.6465, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9906, prior_entropy: 0.0626, recall: 0.9906, relative_absolute_error: 1.016, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0751, root_relative_squared_error: 1.3459, scimark_benchmark: 608.4057, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.993, kb_relative_information_score: 1602.3705, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0559, root_relative_squared_error: 1.0017, scimark_benchmark: 936.2574, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.9819, kappa: 0.1807, kb_relative_information_score: -48984.7786, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9947, predictive_accuracy: 0.9714, prior_entropy: 0.0626, recall: 0.9714, relative_absolute_error: 2.782, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.1292, root_relative_squared_error: 2.3152, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.9923, kappa: 0.1651, kb_relative_information_score: -22196.762, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.992, predictive_accuracy: 0.9926, prior_entropy: 0.0626, recall: 0.9926, relative_absolute_error: 0.9666, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0648, root_relative_squared_error: 1.1607, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.9923, kappa: 0.1651, kb_relative_information_score: -22196.762, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.992, predictive_accuracy: 0.9926, prior_entropy: 0.0626, recall: 0.9926, relative_absolute_error: 0.9666, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0648, root_relative_squared_error: 1.1607, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5794, f_measure: 0.993, kb_relative_information_score: -7866.7771, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.7944, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0561, root_relative_squared_error: 1.0043, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.9923, kappa: 0.1651, kb_relative_information_score: -22196.762, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.992, predictive_accuracy: 0.9926, prior_entropy: 0.0626, recall: 0.9926, relative_absolute_error: 0.9666, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0648, root_relative_squared_error: 1.1607, scimark_benchmark: 945.6228, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.9926, kappa: 0.046, kb_relative_information_score: -8288.0272, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9909, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 0.5936, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0573, root_relative_squared_error: 1.0264, 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: 0.869, f_measure: 0.9925, kappa: -0.0013, kb_relative_information_score: -19882.4733, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9945, prior_entropy: 0.0626, recall: 0.9945, relative_absolute_error: 0.7729, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0593, root_relative_squared_error: 1.0619, scimark_benchmark: 901.4991, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2517, f_measure: 0.993, kb_relative_information_score: -319.0094, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.836, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0559, root_relative_squared_error: 1.0005, scimark_benchmark: 901.6243, usercpu_time_millis: 6570, usercpu_time_millis_testing: 2840, usercpu_time_millis_training: 3730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2601, f_measure: 0.993, kb_relative_information_score: -145.4399, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.8347, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0559, root_relative_squared_error: 1.0005, scimark_benchmark: 935.2002, usercpu_time_millis: 2840, usercpu_time_millis_testing: 830, usercpu_time_millis_training: 2010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2685, f_measure: 0.993, kb_relative_information_score: 177.6608, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.8345, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0558, root_relative_squared_error: 1.0004, scimark_benchmark: 939.7883, usercpu_time_millis: 1390, usercpu_time_millis_testing: 420, usercpu_time_millis_training: 970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2482, f_measure: 0.993, kb_relative_information_score: 77.1198, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.8343, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0559, root_relative_squared_error: 1.0005, scimark_benchmark: 930.0399, usercpu_time_millis: 670, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2483, f_measure: 0.993, kb_relative_information_score: -28.7481, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.8365, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0559, root_relative_squared_error: 1.0011, scimark_benchmark: 935.6052, usercpu_time_millis: 350, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2494, f_measure: 0.993, kb_relative_information_score: -12775.0296, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, 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: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5827, f_measure: 0.9924, kappa: -0.0014, kb_relative_information_score: -714.2027, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9941, prior_entropy: 0.0626, recall: 0.9941, relative_absolute_error: 0.5339, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0616, root_relative_squared_error: 1.1038, scimark_benchmark: 936.1714, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5924, f_measure: 0.9928, kappa: -0.0005, kb_relative_information_score: 60.8976, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.995, prior_entropy: 0.0626, recall: 0.995, relative_absolute_error: 0.4662, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0577, root_relative_squared_error: 1.0328, scimark_benchmark: 938.3115, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5942, f_measure: 0.9929, kappa: -0.0002, kb_relative_information_score: 1393.4357, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9952, prior_entropy: 0.0626, recall: 0.9952, relative_absolute_error: 0.4288, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0564, root_relative_squared_error: 1.0108, scimark_benchmark: 935.6052, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5945, f_measure: 0.9929, kappa: -0.0003, kb_relative_information_score: 1315.1926, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9951, prior_entropy: 0.0626, recall: 0.9951, relative_absolute_error: 0.4314, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0563, root_relative_squared_error: 1.0094, scimark_benchmark: 935.6052, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5484, f_measure: 0.993, kb_relative_information_score: 1602.339, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0559, root_relative_squared_error: 1.0017, scimark_benchmark: 941.9549, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.993, kb_relative_information_score: 1602.3705, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0559, root_relative_squared_error: 1.0017, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2494, f_measure: 0.993, kb_relative_information_score: 455.0827, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, 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: 906.0884, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8514, f_measure: 0.993, kb_relative_information_score: -33411.9235, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.8606, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0562, root_relative_squared_error: 1.0066, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2494, f_measure: 0.993, kb_relative_information_score: 455.0827, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, 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: 926.4745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.9906, kappa: -0.004, kb_relative_information_score: -17924.6465, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9906, prior_entropy: 0.0626, recall: 0.9906, relative_absolute_error: 1.016, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0751, root_relative_squared_error: 1.3459, scimark_benchmark: 934.929, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.9923, kappa: 0.1651, kb_relative_information_score: -22196.762, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.992, predictive_accuracy: 0.9926, prior_entropy: 0.0626, recall: 0.9926, relative_absolute_error: 0.9666, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0648, root_relative_squared_error: 1.1607, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.9923, kappa: 0.1651, kb_relative_information_score: -22196.762, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.992, predictive_accuracy: 0.9926, prior_entropy: 0.0626, recall: 0.9926, relative_absolute_error: 0.9666, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0648, root_relative_squared_error: 1.1607, scimark_benchmark: 1318.4315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.9926, kappa: 0.046, kb_relative_information_score: -8288.0272, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9909, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 0.5936, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0573, root_relative_squared_error: 1.0264, scimark_benchmark: 1339.4412, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2494, f_measure: 0.993, kb_relative_information_score: 455.0827, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, 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: 1364.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.9906, kappa: -0.004, kb_relative_information_score: -17924.6465, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9906, prior_entropy: 0.0626, recall: 0.9906, relative_absolute_error: 1.016, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0751, root_relative_squared_error: 1.3459, scimark_benchmark: 1313.8988, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.993, kb_relative_information_score: 1602.3705, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0559, root_relative_squared_error: 1.0017, scimark_benchmark: 1352.9101, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.993, kb_relative_information_score: 1602.3705, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0559, root_relative_squared_error: 1.0017, scimark_benchmark: 1348.2804, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.9923, kappa: 0.1651, kb_relative_information_score: -22196.762, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.992, predictive_accuracy: 0.9926, prior_entropy: 0.0626, recall: 0.9926, relative_absolute_error: 0.9666, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0648, root_relative_squared_error: 1.1607, scimark_benchmark: 1332.3382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.9923, kappa: 0.1651, kb_relative_information_score: -22196.762, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.992, predictive_accuracy: 0.9926, prior_entropy: 0.0626, recall: 0.9926, relative_absolute_error: 0.9666, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0648, root_relative_squared_error: 1.1607, scimark_benchmark: 1324.2313,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5794, f_measure: 0.993, kb_relative_information_score: -7866.7771, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.7944, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0561, root_relative_squared_error: 1.0043, scimark_benchmark: 1332.7555, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.9926, kappa: 0.046, kb_relative_information_score: -8288.0272, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9909, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 0.5936, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0573, root_relative_squared_error: 1.0264, scimark_benchmark: 1321.4561, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.9918, kappa: -0.0028, kb_relative_information_score: -1299.9129, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.993, prior_entropy: 0.0626, recall: 0.993, relative_absolute_error: 0.6288, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0685, root_relative_squared_error: 1.2268, scimark_benchmark: 1342.6744, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.9923, kappa: 0.1651, kb_relative_information_score: -22196.762, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.992, predictive_accuracy: 0.9926, prior_entropy: 0.0626, recall: 0.9926, relative_absolute_error: 0.9666, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0648, root_relative_squared_error: 1.1607, scimark_benchmark: 1344.0499, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.9923, kappa: 0.1651, kb_relative_information_score: -22196.762, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.992, predictive_accuracy: 0.9926, prior_entropy: 0.0626, recall: 0.9926, relative_absolute_error: 0.9666, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0648, root_relative_squared_error: 1.1607, scimark_benchmark: 1335.9243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.9926, kappa: 0.046, kb_relative_information_score: -8288.0272, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9909, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 0.5936, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0573, root_relative_squared_error: 1.0264, scimark_benchmark: 1351.1238, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5477, f_measure: 0.993, kb_relative_information_score: -7535.7335, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.7994, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0559, root_relative_squared_error: 1.0022, scimark_benchmark: 1352.06, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.993, kb_relative_information_score: 1602.3705, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0559, root_relative_squared_error: 1.0017, scimark_benchmark: 1314.0283, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.9923, kappa: 0.1651, kb_relative_information_score: -22196.762, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.992, predictive_accuracy: 0.9926, prior_entropy: 0.0626, recall: 0.9926, relative_absolute_error: 0.9666, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0648, root_relative_squared_error: 1.1607, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.9926, kappa: 0.046, kb_relative_information_score: -8288.0272, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9909, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 0.5936, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0573, root_relative_squared_error: 1.0264, scimark_benchmark: 1322.7257, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.9925, kappa: -0.0013, kb_relative_information_score: -19882.4733, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9945, prior_entropy: 0.0626, recall: 0.9945, relative_absolute_error: 0.7729, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0593, root_relative_squared_error: 1.0619, scimark_benchmark: 1260.1387, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.9923, kappa: 0.1651, kb_relative_information_score: -22196.762, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.992, predictive_accuracy: 0.9926, prior_entropy: 0.0626, recall: 0.9926, relative_absolute_error: 0.9666, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0648, root_relative_squared_error: 1.1607, scimark_benchmark: 938.0414, 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

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs