Task
Supervised Data Stream Classification on BNG(colic)

Supervised Data Stream Classification on BNG(colic)

Task 2153 Supervised Data Stream Classification BNG(colic) 47 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6234, f_measure: 0.6629, kappa: 0.2683, kb_relative_information_score: 387893.2171, mean_absolute_error: 0.3061, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6888, predictive_accuracy: 0.6939, prior_entropy: 1, recall: 0.6939, relative_absolute_error: 0.6121, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5528, root_relative_squared_error: 1.1057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.8824, kappa: 0.7467, kb_relative_information_score: 681889.924, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8823, predictive_accuracy: 0.8829, prior_entropy: 1, recall: 0.8829, relative_absolute_error: 0.3387, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.8835, kappa: 0.749, kb_relative_information_score: 669954.584, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8835, predictive_accuracy: 0.8841, prior_entropy: 1, recall: 0.8841, relative_absolute_error: 0.3538, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.5822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8592, kappa: 0.6962, kb_relative_information_score: 600306.4765, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8592, predictive_accuracy: 0.8602, prior_entropy: 1, recall: 0.8602, relative_absolute_error: 0.4307, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3192, root_relative_squared_error: 0.6384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.8515, kappa: 0.6815, kb_relative_information_score: 652724.1133, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8515, predictive_accuracy: 0.8515, prior_entropy: 1, recall: 0.8515, relative_absolute_error: 0.3599, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.333, root_relative_squared_error: 0.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4873, kb_relative_information_score: 260442, mean_absolute_error: 0.3698, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.3972, predictive_accuracy: 0.6302, prior_entropy: 1, recall: 0.6302, relative_absolute_error: 0.7396, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6081, root_relative_squared_error: 1.2162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.8233, kappa: 0.6183, kb_relative_information_score: 638282.3119, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.823, predictive_accuracy: 0.8247, prior_entropy: 1, recall: 0.8247, relative_absolute_error: 0.3646, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.7896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5038, f_measure: 0.5337, kappa: -0.0007, kb_relative_information_score: 68637.4213, mean_absolute_error: 0.4656, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.5336, predictive_accuracy: 0.5339, prior_entropy: 1, recall: 0.5339, relative_absolute_error: 0.9311, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6717, root_relative_squared_error: 1.3433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.8695, kappa: 0.7186, kb_relative_information_score: 637486.3185, mean_absolute_error: 0.1933, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8694, predictive_accuracy: 0.8702, prior_entropy: 1, recall: 0.8702, relative_absolute_error: 0.3866, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3084, root_relative_squared_error: 0.6169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, f_measure: 0.8818, kappa: 0.7455, kb_relative_information_score: 750541.2075, mean_absolute_error: 0.1263, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8817, predictive_accuracy: 0.8823, prior_entropy: 1, recall: 0.8823, relative_absolute_error: 0.2527, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3112, root_relative_squared_error: 0.6224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8112, f_measure: 0.8148, kappa: 0.6081, kb_relative_information_score: 456690.8871, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8196, predictive_accuracy: 0.8129, prior_entropy: 1, recall: 0.8129, relative_absolute_error: 0.584, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.7649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.8124, kappa: 0.6029, kb_relative_information_score: 577703.7512, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8171, predictive_accuracy: 0.8106, prior_entropy: 1, recall: 0.8106, relative_absolute_error: 0.429, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4208, root_relative_squared_error: 0.8415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.8707, kappa: 0.7212, kb_relative_information_score: 628428.3442, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8707, predictive_accuracy: 0.8715, prior_entropy: 1, recall: 0.8715, relative_absolute_error: 0.3995, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.6151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4874, kappa: 0.0002, kb_relative_information_score: -2.0924, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6462, predictive_accuracy: 0.6303, prior_entropy: 1, recall: 0.6303, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, f_measure: 0.8177, kappa: 0.6068, kb_relative_information_score: 502604.9734, mean_absolute_error: 0.2682, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8173, predictive_accuracy: 0.8189, prior_entropy: 1, recall: 0.8189, relative_absolute_error: 0.5364, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3875, root_relative_squared_error: 0.7749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, f_measure: 0.8332, kappa: 0.6424, kb_relative_information_score: 625037.6765, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8333, predictive_accuracy: 0.8331, prior_entropy: 1, recall: 0.8331, relative_absolute_error: 0.3853, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8111, f_measure: 0.8148, kappa: 0.6081, kb_relative_information_score: 456441.1602, mean_absolute_error: 0.2921, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8196, predictive_accuracy: 0.8129, prior_entropy: 1, recall: 0.8129, relative_absolute_error: 0.5843, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3822, root_relative_squared_error: 0.7645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.8825, kappa: 0.7474, kb_relative_information_score: 688781.0232, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8824, predictive_accuracy: 0.8827, prior_entropy: 1, recall: 0.8827, relative_absolute_error: 0.3325, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.6051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4873, kb_relative_information_score: 260442, mean_absolute_error: 0.3698, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.3972, predictive_accuracy: 0.6302, prior_entropy: 1, recall: 0.6302, relative_absolute_error: 0.7396, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6081, root_relative_squared_error: 1.2162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.8306, kappa: 0.6343, kb_relative_information_score: 583470.43, mean_absolute_error: 0.2208, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8303, predictive_accuracy: 0.8318, prior_entropy: 1, recall: 0.8318, relative_absolute_error: 0.4417, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.7604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.8822, kappa: 0.7465, kb_relative_information_score: 691145.9519, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.882, predictive_accuracy: 0.8825, prior_entropy: 1, ram_hours: 0, recall: 0.8825, relative_absolute_error: 0.3292, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.6071, run_cpu_time: 30.8285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8048, f_measure: 0.8219, kappa: 0.616, kb_relative_information_score: 645700, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8215, predictive_accuracy: 0.8229, prior_entropy: 1, ram_hours: 0, recall: 0.8229, relative_absolute_error: 0.3543, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.8418, run_cpu_time: 8.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4873, kb_relative_information_score: 260442, mean_absolute_error: 0.3698, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.3972, predictive_accuracy: 0.6302, prior_entropy: 1, ram_hours: 0.0015, recall: 0.6302, relative_absolute_error: 0.7396, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6081, root_relative_squared_error: 1.2162, run_cpu_time: 76.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8493, kappa: 0.673, kb_relative_information_score: 565869.7375, mean_absolute_error: 0.2316, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8511, predictive_accuracy: 0.8517, prior_entropy: 1, ram_hours: 0.0009, recall: 0.8517, relative_absolute_error: 0.4631, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.6627, run_cpu_time: 5811.2576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8493, kappa: 0.673, kb_relative_information_score: 565869.7375, mean_absolute_error: 0.2316, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8511, predictive_accuracy: 0.8517, prior_entropy: 1, ram_hours: 0.0008, recall: 0.8517, relative_absolute_error: 0.4631, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.6627, run_cpu_time: 5167.1906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8493, kappa: 0.673, kb_relative_information_score: 565869.7375, mean_absolute_error: 0.2316, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8511, predictive_accuracy: 0.8517, prior_entropy: 1, ram_hours: 0.0009, recall: 0.8517, relative_absolute_error: 0.4631, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.6627, run_cpu_time: 5880.2925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.8306, kappa: 0.6343, kb_relative_information_score: 583470.43, mean_absolute_error: 0.2208, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8303, predictive_accuracy: 0.8318, prior_entropy: 1, ram_hours: 0, recall: 0.8318, relative_absolute_error: 0.4417, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.7604, run_cpu_time: 6.3295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, f_measure: 0.8901, kappa: 0.7632, kb_relative_information_score: 418001.2622, mean_absolute_error: 0.3198, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.89, predictive_accuracy: 0.8906, prior_entropy: 1, ram_hours: 0.0008, recall: 0.8906, relative_absolute_error: 0.6397, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3479, root_relative_squared_error: 0.6959, run_cpu_time: 90.5003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.8485, kappa: 0.6711, kb_relative_information_score: 565819.4305, mean_absolute_error: 0.2316, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8508, predictive_accuracy: 0.8511, prior_entropy: 1, ram_hours: 0, recall: 0.8511, relative_absolute_error: 0.4631, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3315, root_relative_squared_error: 0.663, run_cpu_time: 270.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.8061, kappa: 0.5804, kb_relative_information_score: 492284.9449, mean_absolute_error: 0.2678, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.806, predictive_accuracy: 0.8082, prior_entropy: 1, ram_hours: 0, recall: 0.8082, relative_absolute_error: 0.5356, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.7393, run_cpu_time: 11.3327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, f_measure: 0.7725, kappa: 0.5255, kb_relative_information_score: 428706.362, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7854, predictive_accuracy: 0.7691, prior_entropy: 1, ram_hours: 0.0206, recall: 0.7691, relative_absolute_error: 0.5959, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3891, root_relative_squared_error: 0.7782, run_cpu_time: 432.8277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.8881, kappa: 0.7593, kb_relative_information_score: 690569.9695, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.888, predictive_accuracy: 0.8885, prior_entropy: 1, ram_hours: 0.0009, recall: 0.8885, relative_absolute_error: 0.3334, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.5793, run_cpu_time: 121.6497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8831, kappa: 0.7484, kb_relative_information_score: 691495.1096, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8829, predictive_accuracy: 0.8834, prior_entropy: 1, ram_hours: 0, recall: 0.8834, relative_absolute_error: 0.3293, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.302, root_relative_squared_error: 0.6039, run_cpu_time: 18.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4873, kb_relative_information_score: 260240, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.3972, predictive_accuracy: 0.6302, prior_entropy: 1, ram_hours: 0.0021, recall: 0.6302, relative_absolute_error: 0.7398, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.608, root_relative_squared_error: 1.2159, run_cpu_time: 61.6705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.4873, kappa: -0, kb_relative_information_score: 86970.2491, mean_absolute_error: 0.4661, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.3972, predictive_accuracy: 0.6302, prior_entropy: 1, ram_hours: 0, recall: 0.6302, relative_absolute_error: 0.9322, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4828, root_relative_squared_error: 0.9655, run_cpu_time: 9.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8518, kappa: 0.681, kb_relative_information_score: 509509.6475, mean_absolute_error: 0.2653, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8515, predictive_accuracy: 0.8522, prior_entropy: 1, ram_hours: 0.1133, recall: 0.8522, relative_absolute_error: 0.5307, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.6713, run_cpu_time: 907.0358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4873, kb_relative_information_score: 260442, mean_absolute_error: 0.3698, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.3972, predictive_accuracy: 0.6302, prior_entropy: 1, ram_hours: 0, recall: 0.6302, relative_absolute_error: 0.7396, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6081, root_relative_squared_error: 1.2162, run_cpu_time: 9.9413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8117, f_measure: 0.8148, kappa: 0.6081, kb_relative_information_score: 625666, mean_absolute_error: 0.1872, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8196, predictive_accuracy: 0.8129, prior_entropy: 1, ram_hours: 0, recall: 0.8129, relative_absolute_error: 0.3743, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4323, root_relative_squared_error: 0.8647, run_cpu_time: 8.6235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.8515, kappa: 0.6815, kb_relative_information_score: 652756.4334, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8515, predictive_accuracy: 0.8515, prior_entropy: 1, ram_hours: 0, recall: 0.8515, relative_absolute_error: 0.3599, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.333, root_relative_squared_error: 0.6659, run_cpu_time: 11.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.8274, kappa: 0.625, kb_relative_information_score: 574271.6146, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.83, predictive_accuracy: 0.8308, prior_entropy: 1, ram_hours: 0, recall: 0.8308, relative_absolute_error: 0.4453, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.7335, run_cpu_time: 10.1744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8584, f_measure: 0.8683, kappa: 0.7172, kb_relative_information_score: 736588, mean_absolute_error: 0.1317, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8682, predictive_accuracy: 0.8684, prior_entropy: 1, ram_hours: 0, recall: 0.8684, relative_absolute_error: 0.2634, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.7251, run_cpu_time: 12.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.893, kappa: 0.7696, kb_relative_information_score: 701442.4872, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.893, predictive_accuracy: 0.8935, prior_entropy: 1, ram_hours: 0.0214, recall: 0.8935, relative_absolute_error: 0.3211, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.5631, run_cpu_time: 416.9698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.8481, kappa: 0.6753, kb_relative_information_score: 648657.1821, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8489, predictive_accuracy: 0.8476, prior_entropy: 1, ram_hours: 0, recall: 0.8476, relative_absolute_error: 0.363, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.6754, run_cpu_time: 14.9007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.5336, kappa: -0.0007, kb_relative_information_score: 67212, mean_absolute_error: 0.4664, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.5336, predictive_accuracy: 0.5336, prior_entropy: 1, ram_hours: 0, recall: 0.5336, relative_absolute_error: 0.9328, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6829, root_relative_squared_error: 1.3659, run_cpu_time: 9.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.8882, kappa: 0.7594, kb_relative_information_score: 691605.0521, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.888, predictive_accuracy: 0.8885, prior_entropy: 1, ram_hours: 0.0011, recall: 0.8885, relative_absolute_error: 0.3321, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2896, root_relative_squared_error: 0.5792, run_cpu_time: 146.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8831, kappa: 0.7484, kb_relative_information_score: 691495.1096, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8829, predictive_accuracy: 0.8834, prior_entropy: 1, ram_hours: 0, recall: 0.8834, relative_absolute_error: 0.3293, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.302, root_relative_squared_error: 0.6039, run_cpu_time: 24.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6709, f_measure: 0.6927, kappa: 0.3413, kb_relative_information_score: 384944, mean_absolute_error: 0.3075, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.693, predictive_accuracy: 0.6925, prior_entropy: 1, ram_hours: 0, recall: 0.6925, relative_absolute_error: 0.6151, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5546, root_relative_squared_error: 1.1091, run_cpu_time: 10.21,

    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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