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Function: sql

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Function: require_once

OpenML
Task
Supervised Data Stream Classification on BNG(heart-h,nominal,1000000)

Supervised Data Stream Classification on BNG(heart-h,nominal,1000000)

Task 177 Supervised Data Stream Classification BNG(heart-h,nominal,1000000) 46 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
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46 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.8403, kappa: 0.6581, kb_relative_information_score: 786824.7802, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8384, predictive_accuracy: 0.8442, prior_entropy: 2.3219, recall: 0.8442, relative_absolute_error: 0.3044, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.5294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8471, f_measure: 0.8546, kappa: 0.6894, kb_relative_information_score: 469106.6699, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8527, predictive_accuracy: 0.8582, prior_entropy: 2.3219, recall: 0.8582, relative_absolute_error: 0.714, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.7784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.8602, kappa: 0.7016, kb_relative_information_score: 470700.5712, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.859, predictive_accuracy: 0.8629, prior_entropy: 2.3219, recall: 0.8629, relative_absolute_error: 0.7127, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3108, root_relative_squared_error: 0.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8529, kappa: 0.6855, kb_relative_information_score: 795251.0747, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.852, predictive_accuracy: 0.856, prior_entropy: 2.3219, recall: 0.856, relative_absolute_error: 0.2821, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.5171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.8643, kappa: 0.709, kb_relative_information_score: 832093.1585, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8637, predictive_accuracy: 0.8653, prior_entropy: 2.3219, recall: 0.8653, relative_absolute_error: 0.2213, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.4938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.8667, kappa: 0.7159, kb_relative_information_score: 830371.6345, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8659, predictive_accuracy: 0.8693, prior_entropy: 2.3219, recall: 0.8693, relative_absolute_error: 0.2316, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4931, kb_relative_information_score: 584236.7541, mean_absolute_error: 0.1461, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.4031, predictive_accuracy: 0.6349, prior_entropy: 2.3219, recall: 0.6349, relative_absolute_error: 0.4564, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3822, root_relative_squared_error: 0.9554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.8482, kappa: 0.676, kb_relative_information_score: 831133.349, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.846, predictive_accuracy: 0.8517, prior_entropy: 2.3219, recall: 0.8517, relative_absolute_error: 0.1854, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2435, root_relative_squared_error: 0.6087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8543, f_measure: 0.8157, kappa: 0.6065, kb_relative_information_score: 791881.2459, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8132, predictive_accuracy: 0.8186, prior_entropy: 2.3219, recall: 0.8186, relative_absolute_error: 0.2488, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2455, root_relative_squared_error: 0.6138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.8612, kappa: 0.705, kb_relative_information_score: 818405.202, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8596, predictive_accuracy: 0.864, prior_entropy: 2.3219, recall: 0.864, relative_absolute_error: 0.2479, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.4981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.7962, kappa: 0.5601, kb_relative_information_score: 701184.367, mean_absolute_error: 0.1262, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.7953, predictive_accuracy: 0.8021, prior_entropy: 2.3219, recall: 0.8021, relative_absolute_error: 0.3944, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2504, root_relative_squared_error: 0.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7766, f_measure: 0.7961, kappa: 0.5601, kb_relative_information_score: 775412.919, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.7951, predictive_accuracy: 0.802, prior_entropy: 2.3219, recall: 0.802, relative_absolute_error: 0.2481, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2794, root_relative_squared_error: 0.6986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9291, f_measure: 0.8575, kappa: 0.696, kb_relative_information_score: 813132.1575, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8561, predictive_accuracy: 0.8607, prior_entropy: 2.3219, recall: 0.8607, relative_absolute_error: 0.2569, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.5022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.8537, kappa: 0.6887, kb_relative_information_score: 837857.5718, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8519, predictive_accuracy: 0.8565, prior_entropy: 2.3219, recall: 0.8565, relative_absolute_error: 0.1866, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, f_measure: 0.8333, kappa: 0.6464, kb_relative_information_score: 769835.9651, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8329, predictive_accuracy: 0.834, prior_entropy: 2.3219, recall: 0.834, relative_absolute_error: 0.3055, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.23, root_relative_squared_error: 0.5749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8474, kappa: 0.675, kb_relative_information_score: 808785.5941, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8493, predictive_accuracy: 0.8467, prior_entropy: 2.3219, recall: 0.8467, relative_absolute_error: 0.2512, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.5289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8072, f_measure: 0.7778, kappa: 0.5347, kb_relative_information_score: 705468.8489, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.7827, predictive_accuracy: 0.7772, prior_entropy: 2.3219, recall: 0.7772, relative_absolute_error: 0.4035, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2541, root_relative_squared_error: 0.6353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.8711, kappa: 0.7238, kb_relative_information_score: 834407.5542, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8704, predictive_accuracy: 0.8723, prior_entropy: 2.3219, recall: 0.8723, relative_absolute_error: 0.2256, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.4806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4931, kb_relative_information_score: 584236.7541, mean_absolute_error: 0.1461, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.4031, predictive_accuracy: 0.6349, prior_entropy: 2.3219, recall: 0.6349, relative_absolute_error: 0.4564, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3822, root_relative_squared_error: 0.9554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8351, kappa: 0.647, kb_relative_information_score: 786865.8718, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8353, predictive_accuracy: 0.8351, prior_entropy: 2.3219, recall: 0.8351, relative_absolute_error: 0.2735, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.5707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.8713, kappa: 0.7244, kb_relative_information_score: 833567.0067, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8705, predictive_accuracy: 0.8726, prior_entropy: 2.3219, ram_hours: 0.0001, recall: 0.8726, relative_absolute_error: 0.2276, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.4783, run_cpu_time: 112.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.8611, kappa: 0.7029, kb_relative_information_score: 745906.5093, mean_absolute_error: 0.1251, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8604, predictive_accuracy: 0.8622, prior_entropy: 2.3219, ram_hours: 0.0001, recall: 0.8622, relative_absolute_error: 0.3909, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.552, run_cpu_time: 78.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, f_measure: 0.5338, kappa: 0.0025, kb_relative_information_score: 469212.9232, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.5338, predictive_accuracy: 0.5338, prior_entropy: 2.3219, ram_hours: 0, recall: 0.5338, relative_absolute_error: 0.5827, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4318, root_relative_squared_error: 1.0795, run_cpu_time: 6.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.4931, kappa: -0, kb_relative_information_score: 586353.7458, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.4991, predictive_accuracy: 0.6349, prior_entropy: 2.3219, ram_hours: 0, recall: 0.6349, relative_absolute_error: 0.5841, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.7643, run_cpu_time: 18.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4931, kb_relative_information_score: 584236.7541, mean_absolute_error: 0.1461, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.4031, predictive_accuracy: 0.6349, prior_entropy: 2.3219, ram_hours: 0, recall: 0.6349, relative_absolute_error: 0.4564, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3822, root_relative_squared_error: 0.9554, run_cpu_time: 7.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.7997, kappa: 0.5741, kb_relative_information_score: 760949.8698, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.7981, predictive_accuracy: 0.8015, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8015, relative_absolute_error: 0.3293, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.5746, run_cpu_time: 55.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.8625, kappa: 0.7051, kb_relative_information_score: 827950.1853, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8624, predictive_accuracy: 0.8629, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8629, relative_absolute_error: 0.2283, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.497, run_cpu_time: 20.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, f_measure: 0.8473, kappa: 0.675, kb_relative_information_score: 829224.6017, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8448, predictive_accuracy: 0.85, prior_entropy: 2.3219, ram_hours: 0, recall: 0.85, relative_absolute_error: 0.1875, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2449, root_relative_squared_error: 0.6123, run_cpu_time: 6.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4931, kb_relative_information_score: 583658.0535, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.4031, predictive_accuracy: 0.6349, prior_entropy: 2.3219, ram_hours: 0.002, recall: 0.6349, relative_absolute_error: 0.457, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3822, root_relative_squared_error: 0.9555, run_cpu_time: 80.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.8713, kappa: 0.7246, kb_relative_information_score: 833624.1579, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8706, predictive_accuracy: 0.8727, prior_entropy: 2.3219, ram_hours: 0.0001, recall: 0.8727, relative_absolute_error: 0.2275, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.4783, run_cpu_time: 80.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.831, kappa: 0.639, kb_relative_information_score: 749539.5117, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8301, predictive_accuracy: 0.8324, prior_entropy: 2.3219, ram_hours: 0.0217, recall: 0.8324, relative_absolute_error: 0.3652, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.5631, run_cpu_time: 1295.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.8711, kappa: 0.7238, kb_relative_information_score: 834372.7668, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8704, predictive_accuracy: 0.8723, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8723, relative_absolute_error: 0.2257, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.4807, run_cpu_time: 27.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.8292, kappa: 0.6332, kb_relative_information_score: 786634.9618, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8278, predictive_accuracy: 0.8331, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8331, relative_absolute_error: 0.2788, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.227, root_relative_squared_error: 0.5675, run_cpu_time: 8.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7716, f_measure: 0.7962, kappa: 0.5602, kb_relative_information_score: 774070.5559, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.7953, predictive_accuracy: 0.8021, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8021, relative_absolute_error: 0.2479, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.7035, run_cpu_time: 6.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.8187, kappa: 0.6097, kb_relative_information_score: 773754.1174, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8183, predictive_accuracy: 0.8226, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8226, relative_absolute_error: 0.3095, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.5592, run_cpu_time: 13.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8351, kappa: 0.647, kb_relative_information_score: 786865.8718, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8353, predictive_accuracy: 0.8351, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8351, relative_absolute_error: 0.2735, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.5707, run_cpu_time: 9.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.8706, kappa: 0.723, kb_relative_information_score: 833508.9676, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8699, predictive_accuracy: 0.8718, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8718, relative_absolute_error: 0.2264, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.4822, run_cpu_time: 38.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.8613, kappa: 0.7031, kb_relative_information_score: 404306.416, mean_absolute_error: 0.2459, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8603, predictive_accuracy: 0.8632, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8632, relative_absolute_error: 0.7685, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.8135, run_cpu_time: 12.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4931, kb_relative_information_score: 584236.7541, mean_absolute_error: 0.1461, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.4031, predictive_accuracy: 0.6349, prior_entropy: 2.3219, ram_hours: 0, recall: 0.6349, relative_absolute_error: 0.4564, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3822, root_relative_squared_error: 0.9554, run_cpu_time: 7.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.8411, kappa: 0.6581, kb_relative_information_score: 798167.4905, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8415, predictive_accuracy: 0.8463, prior_entropy: 2.3219, ram_hours: 0.0006, recall: 0.8463, relative_absolute_error: 0.2799, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.5256, run_cpu_time: 3963.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.8643, kappa: 0.709, kb_relative_information_score: 832082.8776, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8637, predictive_accuracy: 0.8653, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8653, relative_absolute_error: 0.2214, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.4938, run_cpu_time: 20.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.8711, kappa: 0.7238, kb_relative_information_score: 834372.7668, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8704, predictive_accuracy: 0.8723, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8723, relative_absolute_error: 0.2257, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.4807, run_cpu_time: 18.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8334, f_measure: 0.8483, kappa: 0.676, kb_relative_information_score: 831103.3691, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.846, predictive_accuracy: 0.8517, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8517, relative_absolute_error: 0.1854, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2436, root_relative_squared_error: 0.609, run_cpu_time: 6.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8711, kappa: 0.7242, kb_relative_information_score: 834687.3569, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8702, predictive_accuracy: 0.8727, prior_entropy: 2.3219, ram_hours: 0.0019, recall: 0.8727, relative_absolute_error: 0.2249, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.4794, run_cpu_time: 184.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.8405, kappa: 0.6567, kb_relative_information_score: 798139.691, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8412, predictive_accuracy: 0.8458, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8458, relative_absolute_error: 0.2799, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.5257, run_cpu_time: 293.84,

    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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