Task
Supervised Data Stream Classification on BNG(hypothyroid,nominal,1000000)

Supervised Data Stream Classification on BNG(hypothyroid,nominal,1000000)

Task 183 Supervised Data Stream Classification BNG(hypothyroid,nominal,1000000) 45 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5771, f_measure: 0.8854, kb_relative_information_score: 841949.1864, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8512, predictive_accuracy: 0.9226, prior_entropy: 2, recall: 0.9226, relative_absolute_error: 0.2149, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.8854, kb_relative_information_score: 473047.4724, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8512, predictive_accuracy: 0.9226, prior_entropy: 2, recall: 0.9226, relative_absolute_error: 0.6856, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.7497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5331, f_measure: 0.8922, kappa: 0.0842, kb_relative_information_score: 473758.5894, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8821, predictive_accuracy: 0.9238, prior_entropy: 2, recall: 0.9238, relative_absolute_error: 0.685, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.3243, root_relative_squared_error: 0.7489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5549, f_measure: 0.8927, kappa: 0.0844, kb_relative_information_score: 864717.931, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8821, predictive_accuracy: 0.9252, prior_entropy: 2, recall: 0.9252, relative_absolute_error: 0.1799, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.4317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7489, f_measure: 0.8932, kappa: 0.1133, kb_relative_information_score: 861234.2207, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8953, predictive_accuracy: 0.9231, prior_entropy: 2, recall: 0.9231, relative_absolute_error: 0.1826, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.4271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7432, f_measure: 0.8933, kappa: 0.0935, kb_relative_information_score: 868831.819, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8885, predictive_accuracy: 0.9248, prior_entropy: 2, recall: 0.9248, relative_absolute_error: 0.1709, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.4236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8854, kb_relative_information_score: 906511.4834, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8512, predictive_accuracy: 0.9226, prior_entropy: 2, recall: 0.9226, relative_absolute_error: 0.1032, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.4544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, f_measure: 0.8855, kappa: 0.0025, kb_relative_information_score: 906507.3288, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.855, predictive_accuracy: 0.9226, prior_entropy: 2, recall: 0.9226, relative_absolute_error: 0.1032, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.4544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5501, f_measure: 0.8862, kappa: 0.0548, kb_relative_information_score: 892697.5514, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8601, predictive_accuracy: 0.9166, prior_entropy: 2, recall: 0.9166, relative_absolute_error: 0.1228, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.4648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5696, f_measure: 0.893, kappa: 0.0864, kb_relative_information_score: 866337.5902, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8826, predictive_accuracy: 0.9255, prior_entropy: 2, recall: 0.9255, relative_absolute_error: 0.1773, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.4315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5418, f_measure: 0.8929, kappa: 0.0844, kb_relative_information_score: 866554.604, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8753, predictive_accuracy: 0.9257, prior_entropy: 2, recall: 0.9257, relative_absolute_error: 0.1771, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.187, root_relative_squared_error: 0.4318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5242, f_measure: 0.8922, kappa: 0.0761, kb_relative_information_score: 909790.5075, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8807, predictive_accuracy: 0.9253, prior_entropy: 2, recall: 0.9253, relative_absolute_error: 0.0997, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.4459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6724, f_measure: 0.8929, kappa: 0.084, kb_relative_information_score: 866113.3821, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8838, predictive_accuracy: 0.9255, prior_entropy: 2, recall: 0.9255, relative_absolute_error: 0.1775, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.4294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.8936, kappa: 0.0934, kb_relative_information_score: 872976.183, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8894, predictive_accuracy: 0.9255, prior_entropy: 2, recall: 0.9255, relative_absolute_error: 0.1646, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.8854, kb_relative_information_score: 865663.1367, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8512, predictive_accuracy: 0.9226, prior_entropy: 2, recall: 0.9226, relative_absolute_error: 0.1756, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.4421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7447, f_measure: 0.8932, kappa: 0.1137, kb_relative_information_score: 859403.7729, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8949, predictive_accuracy: 0.9231, prior_entropy: 2, recall: 0.9231, relative_absolute_error: 0.1856, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.4275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5686, f_measure: 0.8854, kb_relative_information_score: 856287.9328, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8512, predictive_accuracy: 0.9226, prior_entropy: 2, recall: 0.9226, relative_absolute_error: 0.1918, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.4384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7486, f_measure: 0.8925, kappa: 0.0838, kb_relative_information_score: 864888.2844, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8942, predictive_accuracy: 0.9244, prior_entropy: 2, recall: 0.9244, relative_absolute_error: 0.1771, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.4239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8854, kb_relative_information_score: 906511.4834, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8512, predictive_accuracy: 0.9226, prior_entropy: 2, recall: 0.9226, relative_absolute_error: 0.1032, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.4544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.8854, kb_relative_information_score: 865663.1367, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8512, predictive_accuracy: 0.9226, prior_entropy: 2, recall: 0.9226, relative_absolute_error: 0.1756, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.4421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8854, kb_relative_information_score: 906511.4834, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8512, predictive_accuracy: 0.9226, prior_entropy: 2, ram_hours: 0, recall: 0.9226, relative_absolute_error: 0.1032, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.4544, run_cpu_time: 9.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7261, f_measure: 0.8893, kappa: 0.043, kb_relative_information_score: 862069.9911, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.889, predictive_accuracy: 0.9239, prior_entropy: 2, ram_hours: 0, recall: 0.9239, relative_absolute_error: 0.1813, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.4278, run_cpu_time: 14.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.8854, kb_relative_information_score: 865663.1367, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8512, predictive_accuracy: 0.9226, prior_entropy: 2, ram_hours: 0, recall: 0.9226, relative_absolute_error: 0.1756, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.4421, run_cpu_time: 11.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.525, f_measure: 0.8874, kappa: 0.0485, kb_relative_information_score: 905213.4007, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8586, predictive_accuracy: 0.9215, prior_entropy: 2, ram_hours: 0, recall: 0.9215, relative_absolute_error: 0.1047, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.4575, run_cpu_time: 8.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8545, kappa: 0.0003, kb_relative_information_score: 824284.2866, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8545, predictive_accuracy: 0.8545, prior_entropy: 2, ram_hours: 0, recall: 0.8545, relative_absolute_error: 0.194, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.2697, root_relative_squared_error: 0.6229, run_cpu_time: 8.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.8928, kappa: 0.0868, kb_relative_information_score: 865125.3163, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8942, predictive_accuracy: 0.9244, prior_entropy: 2, ram_hours: 0, recall: 0.9244, relative_absolute_error: 0.1767, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.4237, run_cpu_time: 19.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7648, f_measure: 0.8918, kappa: 0.0705, kb_relative_information_score: 864637.4379, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.9022, predictive_accuracy: 0.9248, prior_entropy: 2, ram_hours: 0.0003, recall: 0.9248, relative_absolute_error: 0.1779, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.4208, run_cpu_time: 128.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.8854, kb_relative_information_score: 905585.142, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8512, predictive_accuracy: 0.9226, prior_entropy: 2, ram_hours: 0.004, recall: 0.9226, relative_absolute_error: 0.1041, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.4553, run_cpu_time: 90.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.8854, kb_relative_information_score: 865663.1367, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8512, predictive_accuracy: 0.9226, prior_entropy: 2, ram_hours: 0, recall: 0.9226, relative_absolute_error: 0.1756, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.4421, run_cpu_time: 13.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7094, f_measure: 0.8932, kappa: 0.0879, kb_relative_information_score: 865503.1601, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8895, predictive_accuracy: 0.9257, prior_entropy: 2, ram_hours: 0, recall: 0.9257, relative_absolute_error: 0.1772, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.4255, run_cpu_time: 66.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7161, f_measure: 0.8887, kappa: 0.0865, kb_relative_information_score: 868437.5504, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8691, predictive_accuracy: 0.9171, prior_entropy: 2, ram_hours: 0, recall: 0.9171, relative_absolute_error: 0.1652, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.4444, run_cpu_time: 18.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7488, f_measure: 0.8931, kappa: 0.0898, kb_relative_information_score: 865368.5666, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8951, predictive_accuracy: 0.9245, prior_entropy: 2, ram_hours: 0, recall: 0.9245, relative_absolute_error: 0.1764, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.4236, run_cpu_time: 48.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7763, f_measure: 0.8925, kappa: 0.0829, kb_relative_information_score: 802826.5947, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8936, predictive_accuracy: 0.9241, prior_entropy: 2, ram_hours: 0.0003, recall: 0.9241, relative_absolute_error: 0.2748, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.444, run_cpu_time: 133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6577, f_measure: 0.8832, kappa: 0.1081, kb_relative_information_score: 758815.4225, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8714, predictive_accuracy: 0.8975, prior_entropy: 2, ram_hours: 0.016, recall: 0.8975, relative_absolute_error: 0.3303, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.2213, root_relative_squared_error: 0.5111, run_cpu_time: 1418.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7648, f_measure: 0.8916, kappa: 0.0692, kb_relative_information_score: 864531.0734, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.9021, predictive_accuracy: 0.9248, prior_entropy: 2, ram_hours: 0.0003, recall: 0.9248, relative_absolute_error: 0.1781, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.4208, run_cpu_time: 131.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5273, f_measure: 0.8923, kappa: 0.0764, kb_relative_information_score: 471132.7197, mean_absolute_error: 0.2583, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.875, predictive_accuracy: 0.9254, prior_entropy: 2, ram_hours: 0, recall: 0.9254, relative_absolute_error: 0.6888, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.75, run_cpu_time: 14.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8854, kb_relative_information_score: 906511.4834, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8512, predictive_accuracy: 0.9226, prior_entropy: 2, ram_hours: 0, recall: 0.9226, relative_absolute_error: 0.1032, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.4544, run_cpu_time: 11.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.8854, kb_relative_information_score: 855529.103, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8512, predictive_accuracy: 0.9226, prior_entropy: 2, ram_hours: 0, recall: 0.9226, relative_absolute_error: 0.1937, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.4405, run_cpu_time: 14.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5259, f_measure: 0.8933, kappa: 0.0891, kb_relative_information_score: 909614.6321, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8755, predictive_accuracy: 0.9259, prior_entropy: 2, ram_hours: 0, recall: 0.9259, relative_absolute_error: 0.0997, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.4454, run_cpu_time: 9.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6519, f_measure: 0.8854, kappa: 0.0001, kb_relative_information_score: 860725.5675, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8626, predictive_accuracy: 0.9226, prior_entropy: 2, ram_hours: 0.0022, recall: 0.9226, relative_absolute_error: 0.1825, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.4391, run_cpu_time: 12307.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.8928, kappa: 0.0868, kb_relative_information_score: 865125.3163, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8942, predictive_accuracy: 0.9244, prior_entropy: 2, ram_hours: 0, recall: 0.9244, relative_absolute_error: 0.1767, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.4237, run_cpu_time: 20.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7488, f_measure: 0.8932, kappa: 0.1134, kb_relative_information_score: 861206.836, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8952, predictive_accuracy: 0.9231, prior_entropy: 2, ram_hours: 0, recall: 0.9231, relative_absolute_error: 0.1826, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.185, root_relative_squared_error: 0.4272, run_cpu_time: 18.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7807, f_measure: 0.8954, kappa: 0.111, kb_relative_information_score: 868768.5866, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.9026, predictive_accuracy: 0.9261, prior_entropy: 2, ram_hours: 0.0035, recall: 0.9261, relative_absolute_error: 0.1716, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.4161, run_cpu_time: 271.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6517, f_measure: 0.8854, kappa: 0.0001, kb_relative_information_score: 860722.7951, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.862, predictive_accuracy: 0.9226, prior_entropy: 2, ram_hours: 0, recall: 0.9226, relative_absolute_error: 0.1825, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.4392, run_cpu_time: 486.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, f_measure: 0.8855, kappa: 0.0026, kb_relative_information_score: 906507.8608, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8549, predictive_accuracy: 0.9226, prior_entropy: 2, ram_hours: 0, recall: 0.9226, relative_absolute_error: 0.1032, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.4544, run_cpu_time: 8.96,

    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)

    How to submit runs

    Using your favorite machine learning environment

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    From your own software

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

    OpenML APIs