OpenML
Supervised Classification on fri_c0_500_5

Supervised Classification on fri_c0_500_5

Task 3747 Supervised Classification fri_c0_500_5 564 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.856, kappa: 0.712, kb_relative_information_score: 331.6706, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8562, predictive_accuracy: 0.856, prior_entropy: 1, recall: 0.856, relative_absolute_error: 0.3483, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6475, scimark_benchmark: 941.9549, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.856, kappa: 0.712, kb_relative_information_score: 331.6706, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8562, predictive_accuracy: 0.856, prior_entropy: 1, recall: 0.856, relative_absolute_error: 0.3483, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6475, scimark_benchmark: 926.5859, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.854, kappa: 0.708, kb_relative_information_score: 329.8064, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8541, predictive_accuracy: 0.854, prior_entropy: 1, recall: 0.854, relative_absolute_error: 0.3524, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3242, root_relative_squared_error: 0.6485, scimark_benchmark: 894.7131, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8559, kappa: 0.7121, kb_relative_information_score: 324.8997, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8569, predictive_accuracy: 0.856, prior_entropy: 1, recall: 0.856, relative_absolute_error: 0.3649, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.6286, scimark_benchmark: 929.0296, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.8219, kappa: 0.6439, kb_relative_information_score: 282.4026, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8224, predictive_accuracy: 0.822, prior_entropy: 1, recall: 0.822, relative_absolute_error: 0.4549, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.6853, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.4022, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.49, predictive_accuracy: 0.498, prior_entropy: 1, recall: 0.498, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.86, kappa: 0.72, kb_relative_information_score: 358.3407, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8604, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.2857, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.6736, scimark_benchmark: 926.5859, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.862, kappa: 0.724, kb_relative_information_score: 344.8341, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.862, predictive_accuracy: 0.862, prior_entropy: 1, recall: 0.862, relative_absolute_error: 0.3152, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3401, root_relative_squared_error: 0.6801, scimark_benchmark: 935.6052, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.832, kappa: 0.664, kb_relative_information_score: 325.9995, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8321, predictive_accuracy: 0.832, prior_entropy: 1, recall: 0.832, relative_absolute_error: 0.3521, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7078, scimark_benchmark: 940.0055, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, f_measure: 0.7959, kappa: 0.5919, kb_relative_information_score: 286.5996, mean_absolute_error: 0.2169, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.7963, predictive_accuracy: 0.796, prior_entropy: 1, recall: 0.796, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4032, root_relative_squared_error: 0.8063, scimark_benchmark: 940.0055, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.7645, kappa: 0.5317, kb_relative_information_score: 256.4068, mean_absolute_error: 0.246, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.7725, predictive_accuracy: 0.766, prior_entropy: 1, recall: 0.766, relative_absolute_error: 0.4921, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.8322, scimark_benchmark: 935.6052, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.4022, kappa: -0.0072, kb_relative_information_score: -2.0115, mean_absolute_error: 0.502, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.49, predictive_accuracy: 0.498, prior_entropy: 1, recall: 0.498, relative_absolute_error: 1.004, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7085, root_relative_squared_error: 1.4171, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.8259, kappa: 0.6519, kb_relative_information_score: 299.2206, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8268, predictive_accuracy: 0.826, prior_entropy: 1, recall: 0.826, relative_absolute_error: 0.4171, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8006, scimark_benchmark: 942.6192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, f_measure: 0.8199, kappa: 0.6399, kb_relative_information_score: 115.2613, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8203, predictive_accuracy: 0.82, prior_entropy: 1, recall: 0.82, relative_absolute_error: 0.8155, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.8376, scimark_benchmark: 943.4741, usercpu_time_millis: 470, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.75, kappa: 0.5, kb_relative_information_score: 123.1501, mean_absolute_error: 0.3963, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.7501, predictive_accuracy: 0.75, prior_entropy: 1, recall: 0.75, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8445, scimark_benchmark: 931.7994, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.8109, kappa: 0.6238, kb_relative_information_score: 242.47, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8193, predictive_accuracy: 0.812, prior_entropy: 1, recall: 0.812, relative_absolute_error: 0.548, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7694, scimark_benchmark: 907.1091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.8, kappa: 0.6, kb_relative_information_score: 224.4139, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.5867, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3585, root_relative_squared_error: 0.7171, scimark_benchmark: 919.6941, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.83, kappa: 0.66, kb_relative_information_score: 280.9031, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8301, predictive_accuracy: 0.83, prior_entropy: 1, recall: 0.83, relative_absolute_error: 0.4616, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.6787, scimark_benchmark: 907.1091, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.8112, kappa: 0.6238, kb_relative_information_score: 226.2768, mean_absolute_error: 0.2903, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8171, predictive_accuracy: 0.812, prior_entropy: 1, recall: 0.812, relative_absolute_error: 0.5806, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.7327, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.8151, kappa: 0.6318, kb_relative_information_score: 237.1101, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8219, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.727, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.8151, kappa: 0.6318, kb_relative_information_score: 237.1101, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8219, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.727, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.8151, kappa: 0.6318, kb_relative_information_score: 237.1101, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8219, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.727, scimark_benchmark: 938.838, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.8151, kappa: 0.6318, kb_relative_information_score: 237.1101, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8219, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.727, scimark_benchmark: 935.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9225, f_measure: 0.838, kappa: 0.676, kb_relative_information_score: 283.4009, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.838, predictive_accuracy: 0.838, prior_entropy: 1, recall: 0.838, relative_absolute_error: 0.4618, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.6622, scimark_benchmark: 946.9304, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.866, kappa: 0.732, kb_relative_information_score: 289.223, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.866, predictive_accuracy: 0.866, prior_entropy: 1, recall: 0.866, relative_absolute_error: 0.4505, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3223, root_relative_squared_error: 0.6446, scimark_benchmark: 946.6409, usercpu_time_millis: 1760, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.8151, kappa: 0.6318, kb_relative_information_score: 237.1101, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8219, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.727, scimark_benchmark: 952.4682, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.8157, kappa: 0.6319, kb_relative_information_score: 240.3661, mean_absolute_error: 0.2756, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.818, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7239, scimark_benchmark: 928.8135, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9434, f_measure: 0.854, kappa: 0.708, kb_relative_information_score: 299.2445, mean_absolute_error: 0.2131, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.854, predictive_accuracy: 0.854, prior_entropy: 1, recall: 0.854, relative_absolute_error: 0.4262, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.625, scimark_benchmark: 935.627, usercpu_time_millis: 130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.8109, kappa: 0.6238, kb_relative_information_score: 242.47, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8193, predictive_accuracy: 0.812, prior_entropy: 1, recall: 0.812, relative_absolute_error: 0.548, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7694, scimark_benchmark: 936.4883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8899, kappa: 0.78, kb_relative_information_score: 389.9974, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8907, predictive_accuracy: 0.89, prior_entropy: 1, recall: 0.89, relative_absolute_error: 0.22, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.6633, scimark_benchmark: 1340.2044, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8899, kappa: 0.78, kb_relative_information_score: 389.9974, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8907, predictive_accuracy: 0.89, prior_entropy: 1, recall: 0.89, relative_absolute_error: 0.22, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.6633, scimark_benchmark: 1327.5842, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.8151, kappa: 0.6318, kb_relative_information_score: 237.1101, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8219, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.727, scimark_benchmark: 1327.5842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9225, f_measure: 0.838, kappa: 0.676, kb_relative_information_score: 283.4009, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.838, predictive_accuracy: 0.838, prior_entropy: 1, recall: 0.838, relative_absolute_error: 0.4618, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.6622, scimark_benchmark: 1327.5842, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.866, kappa: 0.732, kb_relative_information_score: 289.223, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.866, predictive_accuracy: 0.866, prior_entropy: 1, recall: 0.866, relative_absolute_error: 0.4505, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3223, root_relative_squared_error: 0.6446, scimark_benchmark: 1322.0065, usercpu_time_millis: 1940, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.8151, kappa: 0.6318, kb_relative_information_score: 237.1101, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8219, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.727, scimark_benchmark: 1327.5842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.8112, kappa: 0.6238, kb_relative_information_score: 226.2768, mean_absolute_error: 0.2903, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8171, predictive_accuracy: 0.812, prior_entropy: 1, recall: 0.812, relative_absolute_error: 0.5806, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.7327, scimark_benchmark: 1335.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.8151, kappa: 0.6318, kb_relative_information_score: 237.1101, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8219, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.727, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.8151, kappa: 0.6318, kb_relative_information_score: 237.1101, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8219, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.727, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.8151, kappa: 0.6318, kb_relative_information_score: 237.1101, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8219, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.727, scimark_benchmark: 1292.514,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.8157, kappa: 0.6319, kb_relative_information_score: 240.3661, mean_absolute_error: 0.2756, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.818, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7239, scimark_benchmark: 1321.4561, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9434, f_measure: 0.854, kappa: 0.708, kb_relative_information_score: 299.2445, mean_absolute_error: 0.2131, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.854, predictive_accuracy: 0.854, prior_entropy: 1, recall: 0.854, relative_absolute_error: 0.4262, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.625, scimark_benchmark: 1334.9442, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.8109, kappa: 0.6238, kb_relative_information_score: 242.47, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8193, predictive_accuracy: 0.812, prior_entropy: 1, recall: 0.812, relative_absolute_error: 0.548, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7694, scimark_benchmark: 940.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.83, kappa: 0.66, kb_relative_information_score: 280.9031, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8301, predictive_accuracy: 0.83, prior_entropy: 1, recall: 0.83, relative_absolute_error: 0.4616, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.6787, scimark_benchmark: 1299.6719, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.8112, kappa: 0.6238, kb_relative_information_score: 226.2768, mean_absolute_error: 0.2903, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8171, predictive_accuracy: 0.812, prior_entropy: 1, recall: 0.812, relative_absolute_error: 0.5806, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.7327, scimark_benchmark: 1359.7293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.8157, kappa: 0.6319, kb_relative_information_score: 240.3661, mean_absolute_error: 0.2756, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.818, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7239, scimark_benchmark: 1325.6322, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9434, f_measure: 0.854, kappa: 0.708, kb_relative_information_score: 299.2445, mean_absolute_error: 0.2131, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.854, predictive_accuracy: 0.854, prior_entropy: 1, recall: 0.854, relative_absolute_error: 0.4262, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.625, scimark_benchmark: 1371.174, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8899, kappa: 0.78, kb_relative_information_score: 389.9974, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8907, predictive_accuracy: 0.89, prior_entropy: 1, recall: 0.89, relative_absolute_error: 0.22, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.6633, scimark_benchmark: 1336.9926, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.8151, kappa: 0.6318, kb_relative_information_score: 237.1101, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8219, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.727, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9434, f_measure: 0.854, kappa: 0.708, kb_relative_information_score: 299.2445, mean_absolute_error: 0.2131, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.854, predictive_accuracy: 0.854, prior_entropy: 1, recall: 0.854, relative_absolute_error: 0.4262, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.625, scimark_benchmark: 1347.993, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.8151, kappa: 0.6318, kb_relative_information_score: 237.1101, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8219, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.727, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9434, f_measure: 0.854, kappa: 0.708, kb_relative_information_score: 299.2445, mean_absolute_error: 0.2131, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.854, predictive_accuracy: 0.854, prior_entropy: 1, recall: 0.854, relative_absolute_error: 0.4262, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.625, scimark_benchmark: 942.9708, usercpu_time_millis: 260, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.8112, kappa: 0.6238, kb_relative_information_score: 226.2768, mean_absolute_error: 0.2903, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8171, predictive_accuracy: 0.812, prior_entropy: 1, recall: 0.812, relative_absolute_error: 0.5806, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.7327, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.8151, kappa: 0.6318, kb_relative_information_score: 237.1101, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8219, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.727, scimark_benchmark: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.866, kappa: 0.732, kb_relative_information_score: 289.223, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.866, predictive_accuracy: 0.866, prior_entropy: 1, recall: 0.866, relative_absolute_error: 0.4505, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3223, root_relative_squared_error: 0.6446, scimark_benchmark: 1341.5795, usercpu_time_millis: 1070, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.8151, kappa: 0.6318, kb_relative_information_score: 237.1101, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8219, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.727, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, f_measure: 0.856, kappa: 0.712, kb_relative_information_score: 346.2812, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.856, predictive_accuracy: 0.856, prior_entropy: 1, recall: 0.856, relative_absolute_error: 0.3102, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.7474, scimark_benchmark: 1350.2369, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.8112, kappa: 0.6238, kb_relative_information_score: 226.2768, mean_absolute_error: 0.2903, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8171, predictive_accuracy: 0.812, prior_entropy: 1, recall: 0.812, relative_absolute_error: 0.5806, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.7327, scimark_benchmark: 935.5075,

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

OpenML bootcamp

From your own software

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

OpenML APIs