OpenML
Supervised Classification on sleuth_ex2016

Supervised Classification on sleuth_ex2016

Task 4280 Supervised Classification sleuth_ex2016 200 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6486, f_measure: 0.7058, kappa: 0.3968, kb_relative_information_score: 176.2141, mean_absolute_error: 0.3996, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7079, predictive_accuracy: 0.7046, prior_entropy: 0.9794, recall: 0.7046, relative_absolute_error: 0.8232, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4568, root_relative_squared_error: 0.9274, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.6557, kappa: 0.2876, kb_relative_information_score: 170.273, mean_absolute_error: 0.3938, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.6548, predictive_accuracy: 0.6575, prior_entropy: 0.9794, recall: 0.6575, relative_absolute_error: 0.8113, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4821, root_relative_squared_error: 0.9788, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6749, f_measure: 0.6301, kappa: 0.2412, kb_relative_information_score: 171.9866, mean_absolute_error: 0.3885, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.6322, predictive_accuracy: 0.6287, prior_entropy: 0.9794, recall: 0.6287, relative_absolute_error: 0.8002, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5274, root_relative_squared_error: 1.0708, scimark_benchmark: 934.3687, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6382, f_measure: 0.7058, kappa: 0.3968, kb_relative_information_score: 160.7123, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7079, predictive_accuracy: 0.7046, prior_entropy: 0.9794, recall: 0.7046, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9409, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7506, f_measure: 0.7057, kappa: 0.3902, kb_relative_information_score: 190.7214, mean_absolute_error: 0.3902, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7053, predictive_accuracy: 0.708, prior_entropy: 0.9794, recall: 0.708, relative_absolute_error: 0.8037, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.9021, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.7684, kappa: 0.5216, kb_relative_information_score: 329.8383, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7681, predictive_accuracy: 0.769, prior_entropy: 0.9794, recall: 0.769, relative_absolute_error: 0.6424, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.819, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6692, f_measure: 0.6793, kappa: 0.3358, kb_relative_information_score: 187.0683, mean_absolute_error: 0.3896, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.6786, predictive_accuracy: 0.6816, prior_entropy: 0.9794, recall: 0.6816, relative_absolute_error: 0.8024, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4839, root_relative_squared_error: 0.9826, scimark_benchmark: 927.2917, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6936, f_measure: 0.7055, kappa: 0.3906, kb_relative_information_score: 337.6101, mean_absolute_error: 0.2931, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7048, predictive_accuracy: 0.7069, prior_entropy: 0.9794, recall: 0.7069, relative_absolute_error: 0.6038, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5414, root_relative_squared_error: 1.0992, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6936, f_measure: 0.7055, kappa: 0.3906, kb_relative_information_score: 337.6101, mean_absolute_error: 0.2931, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7048, predictive_accuracy: 0.7069, prior_entropy: 0.9794, recall: 0.7069, relative_absolute_error: 0.6038, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5414, root_relative_squared_error: 1.0992, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6382, f_measure: 0.7058, kappa: 0.3968, kb_relative_information_score: 160.7123, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7079, predictive_accuracy: 0.7046, prior_entropy: 0.9794, recall: 0.7046, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9409, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6382, f_measure: 0.7058, kappa: 0.3968, kb_relative_information_score: 160.7123, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7079, predictive_accuracy: 0.7046, prior_entropy: 0.9794, recall: 0.7046, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9409, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6382, f_measure: 0.7058, kappa: 0.3968, kb_relative_information_score: 160.7123, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7079, predictive_accuracy: 0.7046, prior_entropy: 0.9794, recall: 0.7046, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9409, scimark_benchmark: 947.1781, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.7412, kappa: 0.4645, kb_relative_information_score: 233.5214, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7408, predictive_accuracy: 0.7425, prior_entropy: 0.9794, recall: 0.7425, relative_absolute_error: 0.7581, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8679, scimark_benchmark: 937.5117, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6486, f_measure: 0.7058, kappa: 0.3968, kb_relative_information_score: 176.2141, mean_absolute_error: 0.3996, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7079, predictive_accuracy: 0.7046, prior_entropy: 0.9794, recall: 0.7046, relative_absolute_error: 0.8232, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4568, root_relative_squared_error: 0.9274, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.6557, kappa: 0.2876, kb_relative_information_score: 170.273, mean_absolute_error: 0.3938, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.6548, predictive_accuracy: 0.6575, prior_entropy: 0.9794, recall: 0.6575, relative_absolute_error: 0.8113, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4821, root_relative_squared_error: 0.9788, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6749, f_measure: 0.6301, kappa: 0.2412, kb_relative_information_score: 171.9866, mean_absolute_error: 0.3885, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.6322, predictive_accuracy: 0.6287, prior_entropy: 0.9794, recall: 0.6287, relative_absolute_error: 0.8002, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5274, root_relative_squared_error: 1.0708, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6936, f_measure: 0.7055, kappa: 0.3906, kb_relative_information_score: 337.6101, mean_absolute_error: 0.2931, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7048, predictive_accuracy: 0.7069, prior_entropy: 0.9794, recall: 0.7069, relative_absolute_error: 0.6038, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5414, root_relative_squared_error: 1.0992, scimark_benchmark: 927.2882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6936, f_measure: 0.7055, kappa: 0.3906, kb_relative_information_score: 337.6101, mean_absolute_error: 0.2931, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7048, predictive_accuracy: 0.7069, prior_entropy: 0.9794, recall: 0.7069, relative_absolute_error: 0.6038, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5414, root_relative_squared_error: 1.0992, scimark_benchmark: 906.0979, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6382, f_measure: 0.7058, kappa: 0.3968, kb_relative_information_score: 160.7123, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7079, predictive_accuracy: 0.7046, prior_entropy: 0.9794, recall: 0.7046, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9409, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6382, f_measure: 0.7058, kappa: 0.3968, kb_relative_information_score: 160.7123, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7079, predictive_accuracy: 0.7046, prior_entropy: 0.9794, recall: 0.7046, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9409, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6382, f_measure: 0.7058, kappa: 0.3968, kb_relative_information_score: 160.7123, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7079, predictive_accuracy: 0.7046, prior_entropy: 0.9794, recall: 0.7046, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9409, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6382, f_measure: 0.7058, kappa: 0.3968, kb_relative_information_score: 160.7123, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7079, predictive_accuracy: 0.7046, prior_entropy: 0.9794, recall: 0.7046, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9409, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7506, f_measure: 0.7057, kappa: 0.3902, kb_relative_information_score: 190.7214, mean_absolute_error: 0.3902, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7053, predictive_accuracy: 0.708, prior_entropy: 0.9794, recall: 0.708, relative_absolute_error: 0.8037, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.9021, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.7684, kappa: 0.5216, kb_relative_information_score: 329.8383, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7681, predictive_accuracy: 0.769, prior_entropy: 0.9794, recall: 0.769, relative_absolute_error: 0.6424, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.819, scimark_benchmark: 905.2959, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6382, f_measure: 0.7058, kappa: 0.3968, kb_relative_information_score: 160.7123, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7079, predictive_accuracy: 0.7046, prior_entropy: 0.9794, recall: 0.7046, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9409, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.7412, kappa: 0.4645, kb_relative_information_score: 233.5214, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7408, predictive_accuracy: 0.7425, prior_entropy: 0.9794, recall: 0.7425, relative_absolute_error: 0.7581, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8679, scimark_benchmark: 936.3213, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8465, f_measure: 0.7623, kappa: 0.5106, kb_relative_information_score: 289.4837, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7626, predictive_accuracy: 0.7621, prior_entropy: 0.9794, recall: 0.7621, relative_absolute_error: 0.6964, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.8071, scimark_benchmark: 904.5548, usercpu_time_millis: 560, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.7578, kappa: 0.5015, kb_relative_information_score: 282.617, mean_absolute_error: 0.3409, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7582, predictive_accuracy: 0.7575, prior_entropy: 0.9794, recall: 0.7575, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8161, scimark_benchmark: 933.4823, usercpu_time_millis: 210, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, f_measure: 0.7742, kappa: 0.5337, kb_relative_information_score: 292.7667, mean_absolute_error: 0.3363, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7739, predictive_accuracy: 0.7747, prior_entropy: 0.9794, recall: 0.7747, relative_absolute_error: 0.6927, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.8114, scimark_benchmark: 938.8535, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.7624, kappa: 0.511, kb_relative_information_score: 282.1517, mean_absolute_error: 0.341, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7628, predictive_accuracy: 0.7621, prior_entropy: 0.9794, recall: 0.7621, relative_absolute_error: 0.7025, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8237, scimark_benchmark: 933.9, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.737, kappa: 0.4563, kb_relative_information_score: 284.4196, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7365, predictive_accuracy: 0.7379, prior_entropy: 0.9794, recall: 0.7379, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8307, scimark_benchmark: 928.821, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7533, f_measure: 0.7014, kappa: 0.385, kb_relative_information_score: 322.3258, mean_absolute_error: 0.3045, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7017, predictive_accuracy: 0.7011, prior_entropy: 0.9794, recall: 0.7011, relative_absolute_error: 0.6272, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4897, root_relative_squared_error: 0.9943, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7536, f_measure: 0.7025, kappa: 0.3871, kb_relative_information_score: 323.3439, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7027, predictive_accuracy: 0.7023, prior_entropy: 0.9794, recall: 0.7023, relative_absolute_error: 0.6263, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4891, root_relative_squared_error: 0.9931, scimark_benchmark: 889.4922, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7522, f_measure: 0.7037, kappa: 0.3897, kb_relative_information_score: 319.5006, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7039, predictive_accuracy: 0.7034, prior_entropy: 0.9794, recall: 0.7034, relative_absolute_error: 0.6313, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4881, root_relative_squared_error: 0.9911, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7561, f_measure: 0.7147, kappa: 0.4115, kb_relative_information_score: 318.3636, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7145, predictive_accuracy: 0.7149, prior_entropy: 0.9794, recall: 0.7149, relative_absolute_error: 0.6362, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4705, root_relative_squared_error: 0.9553, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7384, f_measure: 0.7056, kappa: 0.3911, kb_relative_information_score: 274.7639, mean_absolute_error: 0.3356, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.705, predictive_accuracy: 0.7069, prior_entropy: 0.9794, recall: 0.7069, relative_absolute_error: 0.6914, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4681, root_relative_squared_error: 0.9505, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4583, f_measure: 0.4333, kb_relative_information_score: -1.3383, mean_absolute_error: 0.4858, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.3436, predictive_accuracy: 0.5862, prior_entropy: 0.9794, recall: 0.5862, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4929, root_relative_squared_error: 1.0008, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7748, f_measure: 0.7252, kappa: 0.4335, kb_relative_information_score: 362.6879, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7252, predictive_accuracy: 0.7253, prior_entropy: 0.9794, recall: 0.7253, relative_absolute_error: 0.5762, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.495, root_relative_squared_error: 1.0051, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.7684, kappa: 0.5216, kb_relative_information_score: 329.8383, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7681, predictive_accuracy: 0.769, prior_entropy: 0.9794, recall: 0.769, relative_absolute_error: 0.6424, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.819, scimark_benchmark: 1319.952, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6692, f_measure: 0.6793, kappa: 0.3358, kb_relative_information_score: 187.0683, mean_absolute_error: 0.3896, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.6786, predictive_accuracy: 0.6816, prior_entropy: 0.9794, recall: 0.6816, relative_absolute_error: 0.8024, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4839, root_relative_squared_error: 0.9826, scimark_benchmark: 1317.6232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.7412, kappa: 0.4645, kb_relative_information_score: 233.5214, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7408, predictive_accuracy: 0.7425, prior_entropy: 0.9794, recall: 0.7425, relative_absolute_error: 0.7581, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8679, scimark_benchmark: 1313.5633, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.6557, kappa: 0.2876, kb_relative_information_score: 170.273, mean_absolute_error: 0.3938, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.6548, predictive_accuracy: 0.6575, prior_entropy: 0.9794, recall: 0.6575, relative_absolute_error: 0.8113, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4821, root_relative_squared_error: 0.9788, scimark_benchmark: 1350.1007, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7361, f_measure: 0.7276, kappa: 0.4356, kb_relative_information_score: 359.9362, mean_absolute_error: 0.2836, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7275, predictive_accuracy: 0.7299, prior_entropy: 0.9794, recall: 0.7299, relative_absolute_error: 0.5842, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4784, root_relative_squared_error: 0.9714, scimark_benchmark: 1256.2802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6091, f_measure: 0.6559, kappa: 0.2927, kb_relative_information_score: 199.1467, mean_absolute_error: 0.3771, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.657, predictive_accuracy: 0.6552, prior_entropy: 0.9794, recall: 0.6552, relative_absolute_error: 0.7768, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5532, root_relative_squared_error: 1.1232, scimark_benchmark: 1322.0065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6751, f_measure: 0.6302, kappa: 0.2418, kb_relative_information_score: 171.9414, mean_absolute_error: 0.3885, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.6325, predictive_accuracy: 0.6287, prior_entropy: 0.9794, recall: 0.6287, relative_absolute_error: 0.8003, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5277, root_relative_squared_error: 1.0714, scimark_benchmark: 1364.991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6382, f_measure: 0.7058, kappa: 0.3968, kb_relative_information_score: 160.7123, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7079, predictive_accuracy: 0.7046, prior_entropy: 0.9794, recall: 0.7046, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9409, scimark_benchmark: 1323.3376,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6382, f_measure: 0.7058, kappa: 0.3968, kb_relative_information_score: 160.7123, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7079, predictive_accuracy: 0.7046, prior_entropy: 0.9794, recall: 0.7046, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9409, scimark_benchmark: 1321.4561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.7412, kappa: 0.4645, kb_relative_information_score: 233.5214, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7408, predictive_accuracy: 0.7425, prior_entropy: 0.9794, recall: 0.7425, relative_absolute_error: 0.7581, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8679, scimark_benchmark: 1331.2559, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.6557, kappa: 0.2876, kb_relative_information_score: 170.273, mean_absolute_error: 0.3938, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.6548, predictive_accuracy: 0.6575, prior_entropy: 0.9794, recall: 0.6575, relative_absolute_error: 0.8113, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4821, root_relative_squared_error: 0.9788, scimark_benchmark: 1360.6367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.7412, kappa: 0.4645, kb_relative_information_score: 233.5214, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4855, number_of_instances: 870, precision: 0.7408, predictive_accuracy: 0.7425, prior_entropy: 0.9794, recall: 0.7425, relative_absolute_error: 0.7581, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8679, scimark_benchmark: 1260.1387, usercpu_time_millis: 20, usercpu_time_millis_training: 20,

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