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OpenML
Task
Supervised Data Stream Classification on BNG(optdigits)

Supervised Data Stream Classification on BNG(optdigits)

Task 163 Supervised Data Stream Classification BNG(optdigits) 193 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • ecmlpkdd2015 streamensembles streams streams-full study_11
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193 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9331, kappa: 0.9256, kb_relative_information_score: 914634.8513, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.9332, predictive_accuracy: 0.933, prior_entropy: 3.3219, recall: 0.933, relative_absolute_error: 0.1383, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.3392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9258, kappa: 0.9176, kb_relative_information_score: 876620.7754, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.9287, predictive_accuracy: 0.9258, prior_entropy: 3.3219, recall: 0.9258, relative_absolute_error: 0.2143, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1158, root_relative_squared_error: 0.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5771, f_measure: 0.1119, kappa: 0.0975, kb_relative_information_score: 151286.671, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.1076, predictive_accuracy: 0.1887, prior_entropy: 3.3219, recall: 0.1887, relative_absolute_error: 0.9087, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.398, root_relative_squared_error: 1.3267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9291, kappa: 0.9215, kb_relative_information_score: 908459.3549, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.9292, predictive_accuracy: 0.9293, prior_entropy: 3.3219, recall: 0.9293, relative_absolute_error: 0.1471, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1061, root_relative_squared_error: 0.3537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, f_measure: 0.3812, kappa: 0.3445, kb_relative_information_score: 312254.5919, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.4153, predictive_accuracy: 0.41, prior_entropy: 3.3219, recall: 0.41, relative_absolute_error: 0.8369, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2685, root_relative_squared_error: 0.8951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9365, kappa: 0.9293, kb_relative_information_score: 293716.3671, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.9368, predictive_accuracy: 0.9363, prior_entropy: 3.3219, recall: 0.9363, relative_absolute_error: 0.8922, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.9088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9372, kappa: 0.9301, kb_relative_information_score: 291250.7586, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.9374, predictive_accuracy: 0.9371, prior_entropy: 3.3219, recall: 0.9371, relative_absolute_error: 0.8934, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.9083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0177, kb_relative_information_score: 57426.3553, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.0097, predictive_accuracy: 0.0987, prior_entropy: 3.3219, recall: 0.0987, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4246, root_relative_squared_error: 1.4153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9066, kappa: 0.8958, kb_relative_information_score: 907680.8355, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.9077, predictive_accuracy: 0.9062, prior_entropy: 3.3219, recall: 0.9062, relative_absolute_error: 0.115, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1224, root_relative_squared_error: 0.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0177, kb_relative_information_score: 57426.3553, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.0097, predictive_accuracy: 0.0987, prior_entropy: 3.3219, recall: 0.0987, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4246, root_relative_squared_error: 1.4153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5503, f_measure: 0.1137, kappa: 0.1009, kb_relative_information_score: 154697.9292, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.1077, predictive_accuracy: 0.1917, prior_entropy: 3.3219, recall: 0.1917, relative_absolute_error: 0.8981, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4021, root_relative_squared_error: 1.3402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9053, kappa: 0.8944, kb_relative_information_score: 829668.7452, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.9059, predictive_accuracy: 0.905, prior_entropy: 3.3219, recall: 0.905, relative_absolute_error: 0.2869, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.135, root_relative_squared_error: 0.4499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5515, f_measure: 0.1135, kappa: 0.1028, kb_relative_information_score: 156540.583, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.1052, predictive_accuracy: 0.1934, prior_entropy: 3.3219, recall: 0.1934, relative_absolute_error: 0.8963, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4016, root_relative_squared_error: 1.3385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.8512, kappa: 0.8346, kb_relative_information_score: 762876.4159, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8515, predictive_accuracy: 0.8512, prior_entropy: 3.3219, recall: 0.8512, relative_absolute_error: 0.3717, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.5391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.1377, kappa: 0.1245, kb_relative_information_score: 181108.2767, mean_absolute_error: 0.1697, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.2018, predictive_accuracy: 0.2118, prior_entropy: 3.3219, recall: 0.2118, relative_absolute_error: 0.9429, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2914, root_relative_squared_error: 0.9712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6156, f_measure: 0.1964, kappa: 0.12, kb_relative_information_score: 214347.1049, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.2043, predictive_accuracy: 0.208, prior_entropy: 3.3219, recall: 0.208, relative_absolute_error: 0.8764, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3586, root_relative_squared_error: 1.1952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.8355, kappa: 0.8168, kb_relative_information_score: 733449.713, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8367, predictive_accuracy: 0.8351, prior_entropy: 3.3219, recall: 0.8351, relative_absolute_error: 0.4144, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.5641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9157, kappa: 0.9067, kb_relative_information_score: 909364.7202, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.9157, predictive_accuracy: 0.916, prior_entropy: 3.3219, recall: 0.916, relative_absolute_error: 0.1111, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1274, root_relative_squared_error: 0.4247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8835, f_measure: 0.7289, kappa: 0.697, kb_relative_information_score: 697405.66, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.7348, predictive_accuracy: 0.7273, prior_entropy: 3.3219, recall: 0.7273, relative_absolute_error: 0.3589, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.7215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.8439, kappa: 0.8264, kb_relative_information_score: 843926.6004, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8474, predictive_accuracy: 0.8437, prior_entropy: 3.3219, recall: 0.8437, relative_absolute_error: 0.1939, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.5175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7017, f_measure: 0.0973, kappa: 0.1182, kb_relative_information_score: 197056.5478, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.1532, predictive_accuracy: 0.2064, prior_entropy: 3.3219, recall: 0.2064, relative_absolute_error: 0.936, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.9675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9054, kappa: 0.8947, kb_relative_information_score: 901564.7806, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.9059, predictive_accuracy: 0.9052, prior_entropy: 3.3219, recall: 0.9052, relative_absolute_error: 0.1256, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1238, root_relative_squared_error: 0.4127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0177, kb_relative_information_score: 57426.3553, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.0097, predictive_accuracy: 0.0987, prior_entropy: 3.3219, recall: 0.0987, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4246, root_relative_squared_error: 1.4153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.6538, kappa: 0.6162, kb_relative_information_score: 632473.8528, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.6557, predictive_accuracy: 0.6546, prior_entropy: 3.3219, recall: 0.6546, relative_absolute_error: 0.4319, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.246, root_relative_squared_error: 0.8199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, f_measure: 0.6772, kappa: 0.6422, kb_relative_information_score: 649720.3935, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.6779, predictive_accuracy: 0.678, prior_entropy: 3.3219, ram_hours: 0, recall: 0.678, relative_absolute_error: 0.4839, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.6993, run_cpu_time: 48.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5513, f_measure: 0.1135, kappa: 0.1027, kb_relative_information_score: 156436.583, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.1053, predictive_accuracy: 0.1933, prior_entropy: 3.3219, ram_hours: 0, recall: 0.1933, relative_absolute_error: 0.8963, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4017, root_relative_squared_error: 1.3389, run_cpu_time: 27.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.6538, kappa: 0.6162, kb_relative_information_score: 632473.8528, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.6557, predictive_accuracy: 0.6546, prior_entropy: 3.3219, ram_hours: 0, recall: 0.6546, relative_absolute_error: 0.4319, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.246, root_relative_squared_error: 0.8199, run_cpu_time: 28.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9303, kappa: 0.9224, kb_relative_information_score: 914773.1991, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.9305, predictive_accuracy: 0.9302, prior_entropy: 3.3219, ram_hours: 0.0024, recall: 0.9302, relative_absolute_error: 0.1302, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1037, root_relative_squared_error: 0.3458, run_cpu_time: 483.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.8959, kappa: 0.8838, kb_relative_information_score: 896792.1863, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8972, predictive_accuracy: 0.8954, prior_entropy: 3.3219, ram_hours: 0, recall: 0.8954, relative_absolute_error: 0.1277, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1293, root_relative_squared_error: 0.431, run_cpu_time: 77.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, f_measure: 0.0333, kappa: -0.0001, kb_relative_information_score: 2249.0135, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.0822, predictive_accuracy: 0.1014, prior_entropy: 3.3219, ram_hours: 0, recall: 0.1014, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, run_cpu_time: 32.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.0993, kappa: -0.0008, kb_relative_information_score: 58089.3655, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.0993, predictive_accuracy: 0.0993, prior_entropy: 3.3219, ram_hours: 0, recall: 0.0993, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4244, root_relative_squared_error: 1.4148, run_cpu_time: 27.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0177, kb_relative_information_score: 57356.0337, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.0097, predictive_accuracy: 0.0987, prior_entropy: 3.3219, ram_hours: 0.0091, recall: 0.0987, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4245, root_relative_squared_error: 1.4149, run_cpu_time: 108.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.945, kappa: 0.9389, kb_relative_information_score: 893953.1155, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.945, predictive_accuracy: 0.945, prior_entropy: 3.3219, ram_hours: 0.0032, recall: 0.945, relative_absolute_error: 0.1952, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.102, root_relative_squared_error: 0.34, run_cpu_time: 564.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.907, kappa: 0.8962, kb_relative_information_score: 903923.3816, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.908, predictive_accuracy: 0.9065, prior_entropy: 3.3219, ram_hours: 0.0002, recall: 0.9065, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1204, root_relative_squared_error: 0.4015, run_cpu_time: 1120.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.8939, kappa: 0.8819, kb_relative_information_score: 894613.8679, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8946, predictive_accuracy: 0.8937, prior_entropy: 3.3219, ram_hours: 0, recall: 0.8937, relative_absolute_error: 0.1302, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1304, root_relative_squared_error: 0.4348, run_cpu_time: 196.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0177, kb_relative_information_score: 57426.3553, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.0097, predictive_accuracy: 0.0987, prior_entropy: 3.3219, ram_hours: 0, recall: 0.0987, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4246, root_relative_squared_error: 1.4153, run_cpu_time: 26.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9346, kappa: 0.9273, kb_relative_information_score: 836325.1482, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.9346, predictive_accuracy: 0.9346, prior_entropy: 3.3219, ram_hours: 0.0379, recall: 0.9346, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1311, root_relative_squared_error: 0.437, run_cpu_time: 899.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5579, f_measure: 0.0938, kappa: 0.1157, kb_relative_information_score: 167483.7093, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.0637, predictive_accuracy: 0.204, prior_entropy: 3.3219, ram_hours: 0, recall: 0.204, relative_absolute_error: 0.8845, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3989, root_relative_squared_error: 1.3296, run_cpu_time: 27.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0177, kb_relative_information_score: 57426.3553, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.0097, predictive_accuracy: 0.0987, prior_entropy: 3.3219, ram_hours: 0, recall: 0.0987, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4246, root_relative_squared_error: 1.4153, run_cpu_time: 32.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.8958, kappa: 0.8845, kb_relative_information_score: 290515.0803, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8962, predictive_accuracy: 0.8961, prior_entropy: 3.3219, ram_hours: 0, recall: 0.8961, relative_absolute_error: 0.8936, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2732, root_relative_squared_error: 0.9107, run_cpu_time: 75.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.6223, kappa: 0.5805, kb_relative_information_score: 596667.0562, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.6313, predictive_accuracy: 0.6224, prior_entropy: 3.3219, ram_hours: 0, recall: 0.6224, relative_absolute_error: 0.5036, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.7725, run_cpu_time: 29.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.77, f_measure: 0.2844, kappa: 0.2415, kb_relative_information_score: 262586.7989, mean_absolute_error: 0.1558, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.2982, predictive_accuracy: 0.3172, prior_entropy: 3.3219, ram_hours: 0.0002, recall: 0.3172, relative_absolute_error: 0.8654, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2795, root_relative_squared_error: 0.9315, run_cpu_time: 104.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9055, kappa: 0.8949, kb_relative_information_score: 901768.0467, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.9061, predictive_accuracy: 0.9054, prior_entropy: 3.3219, ram_hours: 0, recall: 0.9054, relative_absolute_error: 0.1254, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1237, root_relative_squared_error: 0.4123, run_cpu_time: 91.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.8915, kappa: 0.8799, kb_relative_information_score: 842313.3177, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8986, predictive_accuracy: 0.8919, prior_entropy: 3.3219, ram_hours: 0.0068, recall: 0.8919, relative_absolute_error: 0.2625, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.4515, run_cpu_time: 26471.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9055, kappa: 0.8949, kb_relative_information_score: 901768.0467, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.9061, predictive_accuracy: 0.9054, prior_entropy: 3.3219, ram_hours: 0, recall: 0.9054, relative_absolute_error: 0.1254, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1237, root_relative_squared_error: 0.4123, run_cpu_time: 93.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.8906, kappa: 0.8788, kb_relative_information_score: 842266.0591, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.8982, predictive_accuracy: 0.891, prior_entropy: 3.3219, ram_hours: 0.0002, recall: 0.891, relative_absolute_error: 0.2625, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.4517, run_cpu_time: 1320.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9507, kappa: 0.9452, kb_relative_information_score: 936003.8451, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.9509, predictive_accuracy: 0.9507, prior_entropy: 3.3219, ram_hours: 0.0216, recall: 0.9507, relative_absolute_error: 0.1041, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.088, root_relative_squared_error: 0.2935, run_cpu_time: 948.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5503, f_measure: 0.1137, kappa: 0.1009, kb_relative_information_score: 154689.1222, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.1077, predictive_accuracy: 0.1917, prior_entropy: 3.3219, ram_hours: 0, recall: 0.1917, relative_absolute_error: 0.8981, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4021, root_relative_squared_error: 1.3403, run_cpu_time: 27.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9067, kappa: 0.8959, kb_relative_information_score: 907729.1991, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.18, number_of_instances: 1000000, precision: 0.9078, predictive_accuracy: 0.9063, prior_entropy: 3.3219, ram_hours: 0, recall: 0.9063, relative_absolute_error: 0.1149, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1224, root_relative_squared_error: 0.408, run_cpu_time: 73.87,

    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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