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OpenML
Task
Supervised Data Stream Classification on BNG(dermatology)

Supervised Data Stream Classification on BNG(dermatology)

Task 2159 Supervised Data Stream Classification BNG(dermatology) 290 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • ecmlpkdd2015 streamensembles streams study_11 study_16
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Metric:

290 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6797, f_measure: 0.3658, kappa: 0.3279, kb_relative_information_score: 407472.4236, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.3412, predictive_accuracy: 0.4678, prior_entropy: 2.585, recall: 0.4678, relative_absolute_error: 0.6523, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4174, root_relative_squared_error: 1.1201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9832, kappa: 0.979, kb_relative_information_score: 972694.824, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9832, predictive_accuracy: 0.9832, prior_entropy: 2.585, recall: 0.9832, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0689, root_relative_squared_error: 0.1849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.984, kappa: 0.98, kb_relative_information_score: 976938.4464, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.984, predictive_accuracy: 0.984, prior_entropy: 2.585, recall: 0.984, relative_absolute_error: 0.0347, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0648, root_relative_squared_error: 0.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.959, kappa: 0.9488, kb_relative_information_score: 921860.4135, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9593, predictive_accuracy: 0.9591, prior_entropy: 2.585, recall: 0.9591, relative_absolute_error: 0.1231, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.2945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9862, kappa: 0.9827, kb_relative_information_score: 982758.1914, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9861, predictive_accuracy: 0.9862, prior_entropy: 2.585, recall: 0.9862, relative_absolute_error: 0.0243, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0592, root_relative_squared_error: 0.1587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1422, kb_relative_information_score: 233827.0376, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0928, predictive_accuracy: 0.3046, prior_entropy: 2.585, recall: 0.3046, relative_absolute_error: 0.8345, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4815, root_relative_squared_error: 1.2919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6813, f_measure: 0.3667, kappa: 0.3287, kb_relative_information_score: 414452.7297, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.3423, predictive_accuracy: 0.4685, prior_entropy: 2.585, recall: 0.4685, relative_absolute_error: 0.6378, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4209, root_relative_squared_error: 1.1293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, f_measure: 0.3608, kappa: 0.3195, kb_relative_information_score: 406177.1901, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.3378, predictive_accuracy: 0.461, prior_entropy: 2.585, recall: 0.461, relative_absolute_error: 0.6476, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4232, root_relative_squared_error: 1.1357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9408, kappa: 0.9266, kb_relative_information_score: 910879.0791, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9413, predictive_accuracy: 0.9413, prior_entropy: 2.585, recall: 0.9413, relative_absolute_error: 0.1293, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1224, root_relative_squared_error: 0.3285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9846, kappa: 0.9808, kb_relative_information_score: 383696.3343, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9846, predictive_accuracy: 0.9846, prior_entropy: 2.585, recall: 0.9846, relative_absolute_error: 0.802, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3096, root_relative_squared_error: 0.8308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.3373, kappa: 0.3209, kb_relative_information_score: 403393.2484, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.2627, predictive_accuracy: 0.4894, prior_entropy: 2.585, recall: 0.4894, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.659, f_measure: 0.3564, kappa: 0.2958, kb_relative_information_score: 435443.1483, mean_absolute_error: 0.1752, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.401, predictive_accuracy: 0.4934, prior_entropy: 2.585, recall: 0.4934, relative_absolute_error: 0.6306, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3972, root_relative_squared_error: 1.0658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9331, kappa: 0.9169, kb_relative_information_score: 898138.0591, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9333, predictive_accuracy: 0.9337, prior_entropy: 2.585, recall: 0.9337, relative_absolute_error: 0.1469, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1286, root_relative_squared_error: 0.3451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7501, f_measure: 0.528, kappa: 0.413, kb_relative_information_score: 481292.6411, mean_absolute_error: 0.1582, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.5587, predictive_accuracy: 0.5329, prior_entropy: 2.585, recall: 0.5329, relative_absolute_error: 0.5696, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3912, root_relative_squared_error: 1.0496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.8768, kappa: 0.8475, kb_relative_information_score: 846427.6997, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.877, predictive_accuracy: 0.8785, prior_entropy: 2.585, recall: 0.8785, relative_absolute_error: 0.1877, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.5197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.6212, kappa: 0.5053, kb_relative_information_score: 556016.1157, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.6966, predictive_accuracy: 0.5967, prior_entropy: 2.585, recall: 0.5967, relative_absolute_error: 0.5167, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.9009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.3374, kappa: 0.3209, kb_relative_information_score: 399066.9669, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.263, predictive_accuracy: 0.4893, prior_entropy: 2.585, recall: 0.4893, relative_absolute_error: 0.7504, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.8664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9783, kappa: 0.9728, kb_relative_information_score: 972225.6098, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9783, predictive_accuracy: 0.9783, prior_entropy: 2.585, recall: 0.9783, relative_absolute_error: 0.0381, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.076, root_relative_squared_error: 0.2039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1422, kb_relative_information_score: 233827.0376, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0928, predictive_accuracy: 0.3046, prior_entropy: 2.585, recall: 0.3046, relative_absolute_error: 0.8345, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4815, root_relative_squared_error: 1.2919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1422, kb_relative_information_score: 233827.0376, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0928, predictive_accuracy: 0.3046, prior_entropy: 2.585, recall: 0.3046, relative_absolute_error: 0.8345, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4815, root_relative_squared_error: 1.2919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1422, kb_relative_information_score: 233827.0376, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0928, predictive_accuracy: 0.3046, prior_entropy: 2.585, recall: 0.3046, relative_absolute_error: 0.8345, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4815, root_relative_squared_error: 1.2919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8979, kappa: 0.8739, kb_relative_information_score: 872933.9536, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8979, predictive_accuracy: 0.8993, prior_entropy: 2.585, recall: 0.8993, relative_absolute_error: 0.1585, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.4644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.2001, kappa: -0.0005, kb_relative_information_score: 118702.3917, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.2001, predictive_accuracy: 0.2001, prior_entropy: 2.585, ram_hours: 0, recall: 0.2001, relative_absolute_error: 0.9599, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.3856, run_cpu_time: 9.3398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8979, kappa: 0.8739, kb_relative_information_score: 872933.9536, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8979, predictive_accuracy: 0.8993, prior_entropy: 2.585, ram_hours: 0, recall: 0.8993, relative_absolute_error: 0.1585, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.4644, run_cpu_time: 11.2144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9783, kappa: 0.9728, kb_relative_information_score: 972225.6098, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9783, predictive_accuracy: 0.9783, prior_entropy: 2.585, ram_hours: 0, recall: 0.9783, relative_absolute_error: 0.0381, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.076, root_relative_squared_error: 0.2039, run_cpu_time: 28.9584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.1422, kappa: -0, kb_relative_information_score: 111964.1886, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0928, predictive_accuracy: 0.3046, prior_entropy: 2.585, ram_hours: 0, recall: 0.3046, relative_absolute_error: 0.9593, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.365, root_relative_squared_error: 0.9795, run_cpu_time: 12.3846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9857, kappa: 0.9822, kb_relative_information_score: 977541.1662, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9857, predictive_accuracy: 0.9858, prior_entropy: 2.585, ram_hours: 0, recall: 0.9858, relative_absolute_error: 0.0347, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0615, root_relative_squared_error: 0.165, run_cpu_time: 192.8279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1422, kb_relative_information_score: 233827.0376, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0928, predictive_accuracy: 0.3046, prior_entropy: 2.585, ram_hours: 0.0001, recall: 0.3046, relative_absolute_error: 0.8345, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4815, root_relative_squared_error: 1.2919, run_cpu_time: 23.2673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.8355, kappa: 0.7944, kb_relative_information_score: 795254.6023, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8446, predictive_accuracy: 0.8361, prior_entropy: 2.585, ram_hours: 0, recall: 0.8361, relative_absolute_error: 0.2709, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.194, root_relative_squared_error: 0.5207, run_cpu_time: 18.7449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9821, kappa: 0.9777, kb_relative_information_score: 977906.357, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9821, predictive_accuracy: 0.9822, prior_entropy: 2.585, ram_hours: 0, recall: 0.9822, relative_absolute_error: 0.0305, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0667, root_relative_squared_error: 0.1789, run_cpu_time: 40.9347,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.8953, kappa: 0.8696, kb_relative_information_score: 846750.7007, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8973, predictive_accuracy: 0.8961, prior_entropy: 2.585, ram_hours: 0, recall: 0.8961, relative_absolute_error: 0.2045, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.173, root_relative_squared_error: 0.4642, run_cpu_time: 10.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6758, f_measure: 0.3605, kappa: 0.3189, kb_relative_information_score: 405522.4266, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.3378, predictive_accuracy: 0.4604, prior_entropy: 2.585, ram_hours: 0, recall: 0.4604, relative_absolute_error: 0.6475, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4241, root_relative_squared_error: 1.138, run_cpu_time: 8.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9862, kappa: 0.9827, kb_relative_information_score: 982754.7395, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9861, predictive_accuracy: 0.9862, prior_entropy: 2.585, ram_hours: 0, recall: 0.9862, relative_absolute_error: 0.0243, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0592, root_relative_squared_error: 0.1587, run_cpu_time: 27.5209,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9853, kappa: 0.9816, kb_relative_information_score: 976141.7923, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9853, predictive_accuracy: 0.9853, prior_entropy: 2.585, ram_hours: 0.0023, recall: 0.9853, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.063, root_relative_squared_error: 0.1691, run_cpu_time: 256.1447,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1422, kb_relative_information_score: 233563.0104, mean_absolute_error: 0.2319, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0928, predictive_accuracy: 0.3046, prior_entropy: 2.585, ram_hours: 0.0046, recall: 0.3046, relative_absolute_error: 0.8347, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.2917, run_cpu_time: 92.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9783, kappa: 0.9728, kb_relative_information_score: 972225.6098, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9783, predictive_accuracy: 0.9783, prior_entropy: 2.585, ram_hours: 0, recall: 0.9783, relative_absolute_error: 0.0381, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.076, root_relative_squared_error: 0.2039, run_cpu_time: 27.3975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9728, kappa: 0.966, kb_relative_information_score: 382810.9416, mean_absolute_error: 0.2229, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9728, predictive_accuracy: 0.9728, prior_entropy: 2.585, ram_hours: 0, recall: 0.9728, relative_absolute_error: 0.8025, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3109, root_relative_squared_error: 0.8343, run_cpu_time: 19.1385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9634, kappa: 0.9543, kb_relative_information_score: 933130.8133, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9649, predictive_accuracy: 0.9635, prior_entropy: 2.585, ram_hours: 0.0001, recall: 0.9635, relative_absolute_error: 0.1067, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1043, root_relative_squared_error: 0.2799, run_cpu_time: 702.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9846, kappa: 0.9807, kb_relative_information_score: 975895.2597, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9846, predictive_accuracy: 0.9846, prior_entropy: 2.585, ram_hours: 0.0005, recall: 0.9846, relative_absolute_error: 0.0367, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.064, root_relative_squared_error: 0.1718, run_cpu_time: 172.3306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9731, kappa: 0.9664, kb_relative_information_score: 966908.9745, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9731, predictive_accuracy: 0.9732, prior_entropy: 2.585, ram_hours: 0, recall: 0.9732, relative_absolute_error: 0.0442, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0844, root_relative_squared_error: 0.2266, run_cpu_time: 45.9071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9846, kappa: 0.9807, kb_relative_information_score: 926167.6489, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9845, predictive_accuracy: 0.9846, prior_entropy: 2.585, ram_hours: 0.0013, recall: 0.9846, relative_absolute_error: 0.1321, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0969, root_relative_squared_error: 0.26, run_cpu_time: 233.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6812, f_measure: 0.3667, kappa: 0.3287, kb_relative_information_score: 414414.696, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.3423, predictive_accuracy: 0.4685, prior_entropy: 2.585, ram_hours: 0, recall: 0.4685, relative_absolute_error: 0.6378, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4209, root_relative_squared_error: 1.1294, run_cpu_time: 8.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9755, kappa: 0.9694, kb_relative_information_score: 887751.4617, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9756, predictive_accuracy: 0.9755, prior_entropy: 2.585, ram_hours: 0.0186, recall: 0.9755, relative_absolute_error: 0.1966, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1185, root_relative_squared_error: 0.3179, run_cpu_time: 517.57,

    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

    Given a dataset with a nominal target, various data samples of increasing size are defined. A model is build for each individual data sample; from this a learning curve can be drawn.

    Given inputs

    Expected outputs

    evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
    predictions The desired output format Predictions (optional)

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