Task
Supervised Classification on delta_ailerons

Supervised Classification on delta_ailerons

Task 3668 Supervised Classification delta_ailerons 565 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: 0.9485, f_measure: 0.942, kappa: 0.8836, kb_relative_information_score: 5852.197, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9422, predictive_accuracy: 0.9421, prior_entropy: 0.9973, recall: 0.9421, relative_absolute_error: 0.2005, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.4621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.9372, kappa: 0.8739, kb_relative_information_score: 5598.6838, mean_absolute_error: 0.1212, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9375, predictive_accuracy: 0.9373, prior_entropy: 0.9973, recall: 0.9373, relative_absolute_error: 0.2434, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.235, root_relative_squared_error: 0.4708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.929, kappa: 0.8575, kb_relative_information_score: 5671.4522, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.929, predictive_accuracy: 0.929, prior_entropy: 0.9973, recall: 0.929, relative_absolute_error: 0.2243, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2504, root_relative_squared_error: 0.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.9429, kappa: 0.8852, kb_relative_information_score: 5914.5432, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.943, predictive_accuracy: 0.9429, prior_entropy: 0.9973, recall: 0.9429, relative_absolute_error: 0.1883, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.4352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.929, kappa: 0.8575, kb_relative_information_score: 5350.2068, mean_absolute_error: 0.1383, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.929, predictive_accuracy: 0.929, prior_entropy: 0.9973, recall: 0.929, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2561, root_relative_squared_error: 0.5132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.9408, kappa: 0.8811, kb_relative_information_score: 5767.8495, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9409, predictive_accuracy: 0.9408, prior_entropy: 0.9973, recall: 0.9408, relative_absolute_error: 0.2042, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2499, root_relative_squared_error: 0.5007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.9346, kappa: 0.8688, kb_relative_information_score: 6205.8399, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9347, predictive_accuracy: 0.9346, prior_entropy: 0.9973, recall: 0.9346, relative_absolute_error: 0.129, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.4906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.9329, kappa: 0.8652, kb_relative_information_score: 5831.1336, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.933, predictive_accuracy: 0.933, prior_entropy: 0.9973, recall: 0.933, relative_absolute_error: 0.1973, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2429, root_relative_squared_error: 0.4867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9365, kappa: 0.8724, kb_relative_information_score: 5640.6732, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.937, predictive_accuracy: 0.9366, prior_entropy: 0.9973, recall: 0.9366, relative_absolute_error: 0.2329, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.4708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.9311, kappa: 0.8616, kb_relative_information_score: 5709.5958, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9319, predictive_accuracy: 0.9313, prior_entropy: 0.9973, recall: 0.9313, relative_absolute_error: 0.2128, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.239, root_relative_squared_error: 0.4789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9347, kappa: 0.8689, kb_relative_information_score: 5917.0995, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9349, predictive_accuracy: 0.9348, prior_entropy: 0.9973, recall: 0.9348, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2403, root_relative_squared_error: 0.4814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.9328, kappa: 0.865, kb_relative_information_score: 5897.8065, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9329, predictive_accuracy: 0.9328, prior_entropy: 0.9973, recall: 0.9328, relative_absolute_error: 0.1824, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.4882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9418, kappa: 0.883, kb_relative_information_score: 5945.9625, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9418, predictive_accuracy: 0.9418, prior_entropy: 0.9973, recall: 0.9418, relative_absolute_error: 0.1768, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.4586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.94, kappa: 0.8795, kb_relative_information_score: 6268.932, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9405, predictive_accuracy: 0.9401, prior_entropy: 0.9973, recall: 0.9401, relative_absolute_error: 0.1204, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2434, root_relative_squared_error: 0.4877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.944, kappa: 0.8875, kb_relative_information_score: 5976.6269, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9441, predictive_accuracy: 0.944, prior_entropy: 0.9973, recall: 0.944, relative_absolute_error: 0.1757, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.4317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9374, kappa: 0.8743, kb_relative_information_score: 4533.4107, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9374, predictive_accuracy: 0.9374, prior_entropy: 0.9973, recall: 0.9374, relative_absolute_error: 0.4148, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.5309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3679, kb_relative_information_score: -0.0082, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.2816, predictive_accuracy: 0.5306, prior_entropy: 0.9973, recall: 0.5306, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4991, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9408, kappa: 0.8811, kb_relative_information_score: 5929.8962, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9409, predictive_accuracy: 0.9408, prior_entropy: 0.9973, recall: 0.9408, relative_absolute_error: 0.1781, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.234, root_relative_squared_error: 0.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.944, kappa: 0.8875, kb_relative_information_score: 6015.4215, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9441, predictive_accuracy: 0.944, prior_entropy: 0.9973, recall: 0.944, relative_absolute_error: 0.1652, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.4479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.9335, kappa: 0.8663, kb_relative_information_score: 5684.6474, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9336, predictive_accuracy: 0.9335, prior_entropy: 0.9973, recall: 0.9335, relative_absolute_error: 0.2172, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2514, root_relative_squared_error: 0.5038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9406, kappa: 0.8808, kb_relative_information_score: 5897.2485, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9407, predictive_accuracy: 0.9407, prior_entropy: 0.9973, recall: 0.9407, relative_absolute_error: 0.1909, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.4636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.933, kappa: 0.8655, kb_relative_information_score: 5903.6869, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9332, predictive_accuracy: 0.9331, prior_entropy: 0.9973, recall: 0.9331, relative_absolute_error: 0.1812, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.4853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.9402, kappa: 0.8798, kb_relative_information_score: 5911.3421, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9406, predictive_accuracy: 0.9402, prior_entropy: 0.9973, recall: 0.9402, relative_absolute_error: 0.1875, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.4645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9329, kappa: 0.8652, kb_relative_information_score: 5904.6875, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.933, predictive_accuracy: 0.933, prior_entropy: 0.9973, recall: 0.933, relative_absolute_error: 0.1811, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.4853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, f_measure: 0.9402, kappa: 0.8798, kb_relative_information_score: 6272.3547, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9406, predictive_accuracy: 0.9402, prior_entropy: 0.9973, recall: 0.9402, relative_absolute_error: 0.12, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2445, root_relative_squared_error: 0.4898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9444, kappa: 0.8884, kb_relative_information_score: 5945.0729, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9445, predictive_accuracy: 0.9445, prior_entropy: 0.9973, recall: 0.9445, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.4266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.9425, kappa: 0.8844, kb_relative_information_score: 5908.6949, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9425, predictive_accuracy: 0.9425, prior_entropy: 0.9973, recall: 0.9425, relative_absolute_error: 0.1898, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.4624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9382, kappa: 0.876, kb_relative_information_score: 5907.9957, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9383, predictive_accuracy: 0.9383, prior_entropy: 0.9973, recall: 0.9383, relative_absolute_error: 0.1843, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.9329, kappa: 0.8652, kb_relative_information_score: 5898.9792, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.933, predictive_accuracy: 0.933, prior_entropy: 0.9973, recall: 0.933, relative_absolute_error: 0.1819, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.4859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.9409, kappa: 0.8812, kb_relative_information_score: 6282.4091, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9414, predictive_accuracy: 0.9409, prior_entropy: 0.9973, recall: 0.9409, relative_absolute_error: 0.1186, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.243, root_relative_squared_error: 0.4869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.9371, kappa: 0.8736, kb_relative_information_score: 6228.1153, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9374, predictive_accuracy: 0.9372, prior_entropy: 0.9973, recall: 0.9372, relative_absolute_error: 0.1262, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2507, root_relative_squared_error: 0.5023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9329, kappa: 0.8652, kb_relative_information_score: 5904.6875, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.933, predictive_accuracy: 0.933, prior_entropy: 0.9973, recall: 0.933, relative_absolute_error: 0.1811, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.4853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.9191, kappa: 0.8379, kb_relative_information_score: 5470.4563, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.92, predictive_accuracy: 0.9191, prior_entropy: 0.9973, recall: 0.9191, relative_absolute_error: 0.249, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.5181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.9396, kappa: 0.8787, kb_relative_information_score: 5893.1606, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9398, predictive_accuracy: 0.9397, prior_entropy: 0.9973, recall: 0.9397, relative_absolute_error: 0.1858, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.4495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.9116, kappa: 0.8226, kb_relative_information_score: 5862.1353, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9117, predictive_accuracy: 0.9116, prior_entropy: 0.9973, recall: 0.9116, relative_absolute_error: 0.1774, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2973, root_relative_squared_error: 0.5957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3679, kb_relative_information_score: 400.5879, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.2816, predictive_accuracy: 0.5306, prior_entropy: 0.9973, recall: 0.5306, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6851, root_relative_squared_error: 1.3728, scimark_benchmark: 1631.1992, usercpu_time_millis: 3109.375, usercpu_time_millis_testing: 1125, usercpu_time_millis_training: 1984.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3679, kb_relative_information_score: 400.5879, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.2816, predictive_accuracy: 0.5306, prior_entropy: 0.9973, recall: 0.5306, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6851, root_relative_squared_error: 1.3728, scimark_benchmark: 1697.6783, usercpu_time_millis: 8843.75, usercpu_time_millis_testing: 4187.5, usercpu_time_millis_training: 4656.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3679, kb_relative_information_score: 400.5879, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.2816, predictive_accuracy: 0.5306, prior_entropy: 0.9973, recall: 0.5306, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6851, root_relative_squared_error: 1.3728, scimark_benchmark: 1862.8608, usercpu_time_millis: 7125, usercpu_time_millis_testing: 2906.25, usercpu_time_millis_training: 4218.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3679, kb_relative_information_score: 400.5879, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.2816, predictive_accuracy: 0.5306, prior_entropy: 0.9973, recall: 0.5306, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6851, root_relative_squared_error: 1.3728, scimark_benchmark: 1393.8202, usercpu_time_millis: 15840, usercpu_time_millis_testing: 7050, usercpu_time_millis_training: 8790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3679, kb_relative_information_score: 400.5879, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.2816, predictive_accuracy: 0.5306, prior_entropy: 0.9973, recall: 0.5306, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6851, root_relative_squared_error: 1.3728, scimark_benchmark: 1388.9353, usercpu_time_millis: 11320, usercpu_time_millis_testing: 4880, usercpu_time_millis_training: 6440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3679, kb_relative_information_score: 400.5879, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.2816, predictive_accuracy: 0.5306, prior_entropy: 0.9973, recall: 0.5306, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6851, root_relative_squared_error: 1.3728, scimark_benchmark: 1413.4084, usercpu_time_millis: 4970, usercpu_time_millis_testing: 1720, usercpu_time_millis_training: 3250,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9395, kappa: 0.8784, kb_relative_information_score: 5873.7026, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9398, predictive_accuracy: 0.9395, prior_entropy: 0.9973, recall: 0.9395, relative_absolute_error: 0.1912, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.4593, scimark_benchmark: 1908.2191, usercpu_time_millis: 14515.625, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 14500,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.9332, kappa: 0.8659, kb_relative_information_score: 5692.9746, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9341, predictive_accuracy: 0.9334, prior_entropy: 0.9973, recall: 0.9334, relative_absolute_error: 0.2246, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2414, root_relative_squared_error: 0.4837, scimark_benchmark: 1788.6668, usercpu_time_millis: 1375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 1359.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.9339, kappa: 0.8672, kb_relative_information_score: 5587.637, mean_absolute_error: 0.1188, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.934, predictive_accuracy: 0.9339, prior_entropy: 0.9973, recall: 0.9339, relative_absolute_error: 0.2384, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2409, root_relative_squared_error: 0.4827, scimark_benchmark: 1788.6668, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.9374, kappa: 0.8742, kb_relative_information_score: 6232.1371, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9377, predictive_accuracy: 0.9374, prior_entropy: 0.9973, recall: 0.9374, relative_absolute_error: 0.1256, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2501, root_relative_squared_error: 0.5012, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, f_measure: 0.9402, kappa: 0.8798, kb_relative_information_score: 6272.3547, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9406, predictive_accuracy: 0.9402, prior_entropy: 0.9973, recall: 0.9402, relative_absolute_error: 0.12, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2445, root_relative_squared_error: 0.4898, scimark_benchmark: 1544.5109, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9382, kappa: 0.8759, kb_relative_information_score: 5733.5411, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9384, predictive_accuracy: 0.9383, prior_entropy: 0.9973, recall: 0.9383, relative_absolute_error: 0.2155, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.4597, scimark_benchmark: 1527.2067, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9382, kappa: 0.8759, kb_relative_information_score: 5733.5411, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9384, predictive_accuracy: 0.9383, prior_entropy: 0.9973, recall: 0.9383, relative_absolute_error: 0.2155, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.4597, scimark_benchmark: 1027.7712, usercpu_time_millis: 200, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.942, kappa: 0.8836, kb_relative_information_score: 5852.197, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9422, predictive_accuracy: 0.9421, prior_entropy: 0.9973, recall: 0.9421, relative_absolute_error: 0.2005, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.4621, scimark_benchmark: 893.0444, usercpu_time_millis: 550, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.9363, kappa: 0.8719, kb_relative_information_score: 6216.05, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9365, predictive_accuracy: 0.9363, prior_entropy: 0.9973, recall: 0.9363, relative_absolute_error: 0.1278, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2524, root_relative_squared_error: 0.5057, scimark_benchmark: 1860.4354, usercpu_time_millis: 187.5, usercpu_time_millis_training: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.9396, kappa: 0.8787, kb_relative_information_score: 6264.3111, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.94, predictive_accuracy: 0.9397, prior_entropy: 0.9973, recall: 0.9397, relative_absolute_error: 0.1211, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2456, root_relative_squared_error: 0.4921, scimark_benchmark: 1860.4354, usercpu_time_millis: 187.5, usercpu_time_millis_training: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.9343, kappa: 0.868, kb_relative_information_score: 5910.8456, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9345, predictive_accuracy: 0.9344, prior_entropy: 0.9973, recall: 0.9344, relative_absolute_error: 0.1813, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2412, root_relative_squared_error: 0.4834, scimark_benchmark: 1860.4354, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9329, kappa: 0.8652, kb_relative_information_score: 5904.6875, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.933, predictive_accuracy: 0.933, prior_entropy: 0.9973, recall: 0.933, relative_absolute_error: 0.1811, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.4853, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.918, kappa: 0.8352, kb_relative_information_score: 5359.3454, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9185, predictive_accuracy: 0.9181, prior_entropy: 0.9973, recall: 0.9181, relative_absolute_error: 0.2725, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2686, root_relative_squared_error: 0.5383, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.929, kappa: 0.8575, kb_relative_information_score: 5350.2068, mean_absolute_error: 0.1383, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.929, predictive_accuracy: 0.929, prior_entropy: 0.9973, recall: 0.929, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2561, root_relative_squared_error: 0.5132, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.9197, kappa: 0.8388, kb_relative_information_score: 5632.1086, mean_absolute_error: 0.1095, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9198, predictive_accuracy: 0.9198, prior_entropy: 0.9973, recall: 0.9198, relative_absolute_error: 0.2197, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2637, root_relative_squared_error: 0.5284, scimark_benchmark: 1860.4354, usercpu_time_millis: 1390.625, usercpu_time_millis_testing: 359.375, usercpu_time_millis_training: 1031.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9444, kappa: 0.8884, kb_relative_information_score: 5945.0729, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9445, predictive_accuracy: 0.9445, prior_entropy: 0.9973, recall: 0.9445, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.4266, scimark_benchmark: 1860.4354, usercpu_time_millis: 1531.25, usercpu_time_millis_testing: 312.5, usercpu_time_millis_training: 1218.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.936, kappa: 0.8714, kb_relative_information_score: 5686.591, mean_absolute_error: 0.1128, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9362, predictive_accuracy: 0.936, prior_entropy: 0.9973, recall: 0.936, relative_absolute_error: 0.2265, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2396, root_relative_squared_error: 0.48, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.9384, kappa: 0.8762, kb_relative_information_score: 5855.7003, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9386, predictive_accuracy: 0.9384, prior_entropy: 0.9973, recall: 0.9384, relative_absolute_error: 0.1955, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.4655, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.9106, kappa: 0.8203, kb_relative_information_score: 5662.7919, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9108, predictive_accuracy: 0.9106, prior_entropy: 0.9973, recall: 0.9106, relative_absolute_error: 0.2101, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.5881, scimark_benchmark: 1860.4354, usercpu_time_millis: 1609.375, usercpu_time_millis_testing: 1593.75, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.9139, kappa: 0.8271, kb_relative_information_score: 5892.9779, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9139, predictive_accuracy: 0.9139, prior_entropy: 0.9973, recall: 0.9139, relative_absolute_error: 0.1732, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.588, scimark_benchmark: 1860.4354, usercpu_time_millis: 1843.75, usercpu_time_millis_testing: 1843.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.9371, kappa: 0.8736, kb_relative_information_score: 5648.7635, mean_absolute_error: 0.1172, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9374, predictive_accuracy: 0.9372, prior_entropy: 0.9973, recall: 0.9372, relative_absolute_error: 0.2353, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2424, root_relative_squared_error: 0.4857, scimark_benchmark: 1860.4354, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.9425, kappa: 0.8844, kb_relative_information_score: 5908.6949, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9425, predictive_accuracy: 0.9425, prior_entropy: 0.9973, recall: 0.9425, relative_absolute_error: 0.1898, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.4624, scimark_benchmark: 1860.4354, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.9361, kappa: 0.8716, kb_relative_information_score: 5701.0821, mean_absolute_error: 0.1086, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9365, predictive_accuracy: 0.9362, prior_entropy: 0.9973, recall: 0.9362, relative_absolute_error: 0.218, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2427, root_relative_squared_error: 0.4863, scimark_benchmark: 1447.2612, usercpu_time_millis: 2000, usercpu_time_millis_testing: 1968.75, usercpu_time_millis_training: 31.25,

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