Task
Supervised Data Stream Classification on BNG(cmc,nominal,55296)

Supervised Data Stream Classification on BNG(cmc,nominal,55296)

Task 159 Supervised Data Stream Classification BNG(cmc,nominal,55296) 47 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6861, f_measure: 0.5086, kappa: 0.2382, kb_relative_information_score: 11403.0645, mean_absolute_error: 0.3845, mean_prior_absolute_error: 0.4444, number_of_instances: 55296, precision: 0.5081, predictive_accuracy: 0.5093, prior_entropy: 1.585, recall: 0.5093, relative_absolute_error: 0.8652, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.9361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5973, f_measure: 0.2019, kappa: 0.0552, kb_relative_information_score: 5357.1068, mean_absolute_error: 0.4499, mean_prior_absolute_error: 0.4444, number_of_instances: 55296, precision: 0.3426, predictive_accuracy: 0.2896, prior_entropy: 1.585, recall: 0.2896, relative_absolute_error: 1.0123, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5392, root_relative_squared_error: 1.1439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.657, f_measure: 0.486, kappa: 0.2023, kb_relative_information_score: 13730.0224, mean_absolute_error: 0.3769, mean_prior_absolute_error: 0.4444, number_of_instances: 55296, precision: 0.4943, predictive_accuracy: 0.4886, prior_entropy: 1.585, recall: 0.4886, relative_absolute_error: 0.8481, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.9833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6447, f_measure: 0.4675, kappa: 0.17, kb_relative_information_score: 13345.0012, mean_absolute_error: 0.3795, mean_prior_absolute_error: 0.4444, number_of_instances: 55296, precision: 0.4777, predictive_accuracy: 0.4794, prior_entropy: 1.585, recall: 0.4794, relative_absolute_error: 0.8539, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4661, root_relative_squared_error: 0.9888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2563, kb_relative_information_score: 11977.2483, mean_absolute_error: 0.3815, mean_prior_absolute_error: 0.4444, number_of_instances: 55296, precision: 0.183, predictive_accuracy: 0.4278, prior_entropy: 1.585, recall: 0.4278, relative_absolute_error: 0.8583, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6176, root_relative_squared_error: 1.3102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6715, f_measure: 0.4907, kappa: 0.2234, kb_relative_information_score: 12568.5564, mean_absolute_error: 0.3773, mean_prior_absolute_error: 0.4444, number_of_instances: 55296, precision: 0.5017, predictive_accuracy: 0.4882, prior_entropy: 1.585, recall: 0.4882, relative_absolute_error: 0.8489, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4516, root_relative_squared_error: 0.9581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6775, f_measure: 0.4979, kappa: 0.2171, kb_relative_information_score: 11329.4605, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.4444, number_of_instances: 55296, precision: 0.4998, predictive_accuracy: 0.501, prior_entropy: 1.585, recall: 0.501, relative_absolute_error: 0.8693, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4449, root_relative_squared_error: 0.9437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2563, kb_relative_information_score: 11977.2483, mean_absolute_error: 0.3815, mean_prior_absolute_error: 0.4444, number_of_instances: 55296, precision: 0.183, predictive_accuracy: 0.4278, prior_entropy: 1.585, recall: 0.4278, relative_absolute_error: 0.8583, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6176, root_relative_squared_error: 1.3102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5203, f_measure: 0.1542, kappa: 0.033, kb_relative_information_score: -567.48, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.4444, number_of_instances: 55296, precision: 0.3807, predictive_accuracy: 0.2621, prior_entropy: 1.585, recall: 0.2621, relative_absolute_error: 1.1069, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.7013, root_relative_squared_error: 1.4876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5362, f_measure: 0.2879, kappa: 0.0531, kb_relative_information_score: 5943.1579, mean_absolute_error: 0.4361, mean_prior_absolute_error: 0.4444, number_of_instances: 55296, precision: 0.2614, predictive_accuracy: 0.351, prior_entropy: 1.585, recall: 0.351, relative_absolute_error: 0.9811, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6262, root_relative_squared_error: 1.3284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6224, f_measure: 0.4242, kappa: 0.1143, kb_relative_information_score: 7742.8716, mean_absolute_error: 0.4116, mean_prior_absolute_error: 0.4444, number_of_instances: 55296, precision: 0.458, predictive_accuracy: 0.4608, prior_entropy: 1.585, recall: 0.4608, relative_absolute_error: 0.9261, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4608, root_relative_squared_error: 0.9774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5946, f_measure: 0.4534, kappa: 0.1534, kb_relative_information_score: 11668.8451, mean_absolute_error: 0.3847, mean_prior_absolute_error: 0.4444, number_of_instances: 55296, precision: 0.4528, predictive_accuracy: 0.4541, prior_entropy: 1.585, recall: 0.4541, relative_absolute_error: 0.8657, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.519, root_relative_squared_error: 1.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5899, f_measure: 0.4037, kappa: 0.1248, kb_relative_information_score: 6582.1356, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4444, number_of_instances: 55296, precision: 0.4192, predictive_accuracy: 0.4476, prior_entropy: 1.585, recall: 0.4476, relative_absolute_error: 0.9361, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4599, root_relative_squared_error: 0.9756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5548, f_measure: 0.428, kappa: 0.1104, kb_relative_information_score: 13151.9106, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4444, number_of_instances: 55296, precision: 0.4284, predictive_accuracy: 0.4433, prior_entropy: 1.585, recall: 0.4433, relative_absolute_error: 0.835, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6092, root_relative_squared_error: 1.2923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6383, f_measure: 0.4682, kappa: 0.1744, kb_relative_information_score: 11236.7733, mean_absolute_error: 0.3863, mean_prior_absolute_error: 0.4444, number_of_instances: 55296, precision: 0.467, predictive_accuracy: 0.4704, prior_entropy: 1.585, recall: 0.4704, relative_absolute_error: 0.8691, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4641, root_relative_squared_error: 0.9845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6139, f_measure: 0.4556, kappa: 0.1514, kb_relative_information_score: 14385.2395, mean_absolute_error: 0.3617, mean_prior_absolute_error: 0.4444, number_of_instances: 55296, precision: 0.4553, predictive_accuracy: 0.4604, prior_entropy: 1.585, recall: 0.4604, relative_absolute_error: 0.8138, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5694, root_relative_squared_error: 1.2079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5262, f_measure: 0.3458, kappa: 0.0503, kb_relative_information_score: 4973.581, mean_absolute_error: 0.4268, mean_prior_absolute_error: 0.4444, number_of_instances: 55296, precision: 0.4311, predictive_accuracy: 0.4446, prior_entropy: 1.585, recall: 0.4446, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6716, f_measure: 0.4896, kappa: 0.2221, kb_relative_information_score: 12488.2506, mean_absolute_error: 0.3775, mean_prior_absolute_error: 0.4444, number_of_instances: 55296, precision: 0.4989, predictive_accuracy: 0.4871, prior_entropy: 1.585, recall: 0.4871, relative_absolute_error: 0.8494, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4521, root_relative_squared_error: 0.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6044, f_measure: 0.3576, kappa: 0.1496, kb_relative_information_score: 6829.8956, mean_absolute_error: 0.4127, mean_prior_absolute_error: 0.4444, number_of_instances: 55296, precision: 0.4269, predictive_accuracy: 0.448, prior_entropy: 1.585, recall: 0.448, relative_absolute_error: 0.9287, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.9638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6832, f_measure: 0.5065, kappa: 0.2358, kb_relative_information_score: 11625.2803, mean_absolute_error: 0.3829, mean_prior_absolute_error: 0.4444, number_of_instances: 55296, precision: 0.5069, predictive_accuracy: 0.5063, prior_entropy: 1.585, recall: 0.5063, relative_absolute_error: 0.8615, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4425, root_relative_squared_error: 0.9387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2563, kb_relative_information_score: 11977.2483, mean_absolute_error: 0.3815, mean_prior_absolute_error: 0.4444, number_of_instances: 55296, precision: 0.183, predictive_accuracy: 0.4278, prior_entropy: 1.585, recall: 0.4278, relative_absolute_error: 0.8583, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6176, root_relative_squared_error: 1.3102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6454, f_measure: 0.4843, kappa: 0.204, kb_relative_information_score: 11150.7605, mean_absolute_error: 0.3883, mean_prior_absolute_error: 0.4444, number_of_instances: 55296, precision: 0.4881, predictive_accuracy: 0.482, prior_entropy: 1.585, recall: 0.482, relative_absolute_error: 0.8737, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4624, root_relative_squared_error: 0.9809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2563, kb_relative_information_score: 11977.2483, mean_absolute_error: 0.3815, mean_prior_absolute_error: 0.4444, number_of_instances: 55296, precision: 0.183, predictive_accuracy: 0.4278, prior_entropy: 1.585, ram_hours: 0, recall: 0.4278, relative_absolute_error: 0.8583, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6176, root_relative_squared_error: 1.3102, run_cpu_time: 0.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.257, kappa: 0.0001, kb_relative_information_score: 11960.205, mean_absolute_error: 0.3816, mean_prior_absolute_error: 0.4444, number_of_instances: 55296, precision: 0.3939, predictive_accuracy: 0.4277, prior_entropy: 1.585, ram_hours: 0, recall: 0.4277, relative_absolute_error: 0.8586, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6175, root_relative_squared_error: 1.3099, run_cpu_time: 1.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5751, f_measure: 0.3567, kappa: 0.1496, kb_relative_information_score: 13312.8822, mean_absolute_error: 0.3689, mean_prior_absolute_error: 0.4444, number_of_instances: 55296, precision: 0.2969, predictive_accuracy: 0.4481, prior_entropy: 1.585, ram_hours: 0, recall: 0.4481, relative_absolute_error: 0.8301, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6041, root_relative_squared_error: 1.2815, run_cpu_time: 0.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, f_measure: 0.4846, kappa: 0.2118, kb_relative_information_score: 12269.5254, mean_absolute_error: 0.3795, mean_prior_absolute_error: 0.4444, number_of_instances: 55296, precision: 0.4926, predictive_accuracy: 0.482, prior_entropy: 1.585, ram_hours: 0, recall: 0.482, relative_absolute_error: 0.8539, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4556, root_relative_squared_error: 0.9664, run_cpu_time: 0.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6328, f_measure: 0.4596, kappa: 0.1892, kb_relative_information_score: 12667.9376, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4444, number_of_instances: 55296, precision: 0.5151, predictive_accuracy: 0.4784, prior_entropy: 1.585, ram_hours: 0, recall: 0.4784, relative_absolute_error: 0.855, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4793, root_relative_squared_error: 1.0168, run_cpu_time: 0.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4941, f_measure: 0.2573, kappa: -0, kb_relative_information_score: 4284.4633, mean_absolute_error: 0.4309, mean_prior_absolute_error: 0.4444, number_of_instances: 55296, precision: 0.313, predictive_accuracy: 0.4277, prior_entropy: 1.585, ram_hours: 0, recall: 0.4277, relative_absolute_error: 0.9696, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4642, root_relative_squared_error: 0.9847, run_cpu_time: 0.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4973, f_measure: 0.3503, kappa: -0.0052, kb_relative_information_score: 6113.5205, mean_absolute_error: 0.4331, mean_prior_absolute_error: 0.4444, number_of_instances: 55296, precision: 0.3503, predictive_accuracy: 0.3503, prior_entropy: 1.585, ram_hours: 0, recall: 0.3503, relative_absolute_error: 0.9745, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6581, root_relative_squared_error: 1.3961, run_cpu_time: 0.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.679, f_measure: 0.5052, kappa: 0.2328, kb_relative_information_score: 11464.5594, mean_absolute_error: 0.3843, mean_prior_absolute_error: 0.4444, number_of_instances: 55296, precision: 0.5052, predictive_accuracy: 0.5055, prior_entropy: 1.585, ram_hours: 0, recall: 0.5055, relative_absolute_error: 0.8647, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4436, root_relative_squared_error: 0.941, run_cpu_time: 0.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6832, f_measure: 0.5065, kappa: 0.2358, kb_relative_information_score: 11625.2803, mean_absolute_error: 0.3829, mean_prior_absolute_error: 0.4444, number_of_instances: 55296, precision: 0.5069, predictive_accuracy: 0.5063, prior_entropy: 1.585, ram_hours: 0, recall: 0.5063, relative_absolute_error: 0.8615, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4425, root_relative_squared_error: 0.9387, run_cpu_time: 0.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.2563, kb_relative_information_score: 11775.4163, mean_absolute_error: 0.3825, mean_prior_absolute_error: 0.4444, number_of_instances: 55296, precision: 0.183, predictive_accuracy: 0.4278, prior_entropy: 1.585, ram_hours: 0, recall: 0.4278, relative_absolute_error: 0.8606, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6152, root_relative_squared_error: 1.305, run_cpu_time: 2.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2563, kb_relative_information_score: 11977.2483, mean_absolute_error: 0.3815, mean_prior_absolute_error: 0.4444, number_of_instances: 55296, precision: 0.183, predictive_accuracy: 0.4278, prior_entropy: 1.585, ram_hours: 0, recall: 0.4278, relative_absolute_error: 0.8583, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6176, root_relative_squared_error: 1.3102, run_cpu_time: 0.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, f_measure: 0.5027, kappa: 0.232, kb_relative_information_score: 11163.0557, mean_absolute_error: 0.3875, mean_prior_absolute_error: 0.4444, number_of_instances: 55296, precision: 0.5157, predictive_accuracy: 0.5042, prior_entropy: 1.585, ram_hours: 0, recall: 0.5042, relative_absolute_error: 0.872, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4422, root_relative_squared_error: 0.938, run_cpu_time: 3.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5877, f_measure: 0.3748, kappa: 0.0614, kb_relative_information_score: 6412.4611, mean_absolute_error: 0.4145, mean_prior_absolute_error: 0.4444, number_of_instances: 55296, precision: 0.3951, predictive_accuracy: 0.435, prior_entropy: 1.585, ram_hours: 0, recall: 0.435, relative_absolute_error: 0.9327, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4582, root_relative_squared_error: 0.9721, run_cpu_time: 1.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6384, f_measure: 0.461, kappa: 0.1671, kb_relative_information_score: 10362.4749, mean_absolute_error: 0.3954, mean_prior_absolute_error: 0.4444, number_of_instances: 55296, precision: 0.4596, predictive_accuracy: 0.4736, prior_entropy: 1.585, ram_hours: 0, recall: 0.4736, relative_absolute_error: 0.8897, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4589, root_relative_squared_error: 0.9736, run_cpu_time: 0.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5272, f_measure: 0.2844, kappa: 0.0508, kb_relative_information_score: 5841.0755, mean_absolute_error: 0.4355, mean_prior_absolute_error: 0.4444, number_of_instances: 55296, precision: 0.2608, predictive_accuracy: 0.3467, prior_entropy: 1.585, ram_hours: 0, recall: 0.3467, relative_absolute_error: 0.9799, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6599, root_relative_squared_error: 1.3999, run_cpu_time: 0.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5886, f_measure: 0.4381, kappa: 0.1239, kb_relative_information_score: 10301.5719, mean_absolute_error: 0.3932, mean_prior_absolute_error: 0.4444, number_of_instances: 55296, precision: 0.4386, predictive_accuracy: 0.4481, prior_entropy: 1.585, ram_hours: 0, recall: 0.4481, relative_absolute_error: 0.8848, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4904, root_relative_squared_error: 1.0404, run_cpu_time: 7.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.643, f_measure: 0.4702, kappa: 0.1749, kb_relative_information_score: 8780.6848, mean_absolute_error: 0.4026, mean_prior_absolute_error: 0.4444, number_of_instances: 55296, precision: 0.4702, predictive_accuracy: 0.477, prior_entropy: 1.585, ram_hours: 0, recall: 0.477, relative_absolute_error: 0.9057, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.9547, run_cpu_time: 0.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.5031, kappa: 0.233, kb_relative_information_score: 11230.4565, mean_absolute_error: 0.3871, mean_prior_absolute_error: 0.4444, number_of_instances: 55296, precision: 0.5163, predictive_accuracy: 0.5045, prior_entropy: 1.585, ram_hours: 0, recall: 0.5045, relative_absolute_error: 0.8709, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4422, root_relative_squared_error: 0.938, run_cpu_time: 1.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6454, f_measure: 0.4843, kappa: 0.204, kb_relative_information_score: 11150.7605, mean_absolute_error: 0.3883, mean_prior_absolute_error: 0.4444, number_of_instances: 55296, precision: 0.4881, predictive_accuracy: 0.482, prior_entropy: 1.585, ram_hours: 0, recall: 0.482, relative_absolute_error: 0.8737, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4624, root_relative_squared_error: 0.9809, run_cpu_time: 0.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6925, f_measure: 0.5136, kappa: 0.2447, kb_relative_information_score: 11575.8779, mean_absolute_error: 0.3838, mean_prior_absolute_error: 0.4444, number_of_instances: 55296, precision: 0.5167, predictive_accuracy: 0.5141, prior_entropy: 1.585, ram_hours: 0, recall: 0.5141, relative_absolute_error: 0.8635, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.932, run_cpu_time: 4.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6465, f_measure: 0.4718, kappa: 0.1791, kb_relative_information_score: 9548.0005, mean_absolute_error: 0.3983, mean_prior_absolute_error: 0.4444, number_of_instances: 55296, precision: 0.4707, predictive_accuracy: 0.4744, prior_entropy: 1.585, ram_hours: 0, recall: 0.4744, relative_absolute_error: 0.8963, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4515, root_relative_squared_error: 0.9578, run_cpu_time: 12.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6832, f_measure: 0.5065, kappa: 0.2358, kb_relative_information_score: 11625.2803, mean_absolute_error: 0.3829, mean_prior_absolute_error: 0.4444, number_of_instances: 55296, precision: 0.5069, predictive_accuracy: 0.5063, prior_entropy: 1.585, ram_hours: 0, recall: 0.5063, relative_absolute_error: 0.8615, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4425, root_relative_squared_error: 0.9387, run_cpu_time: 0.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6468, f_measure: 0.4726, kappa: 0.1806, kb_relative_information_score: 9552.8504, mean_absolute_error: 0.3983, mean_prior_absolute_error: 0.4444, number_of_instances: 55296, precision: 0.4719, predictive_accuracy: 0.4743, prior_entropy: 1.585, ram_hours: 0, recall: 0.4743, relative_absolute_error: 0.8962, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9576, run_cpu_time: 301.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6716, f_measure: 0.4889, kappa: 0.2213, kb_relative_information_score: 12492.3909, mean_absolute_error: 0.3775, mean_prior_absolute_error: 0.4444, number_of_instances: 55296, precision: 0.4983, predictive_accuracy: 0.4865, prior_entropy: 1.585, ram_hours: 0, recall: 0.4865, relative_absolute_error: 0.8493, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4521, root_relative_squared_error: 0.959, run_cpu_time: 0.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5201, f_measure: 0.1543, kappa: 0.033, kb_relative_information_score: -562.0661, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.4444, number_of_instances: 55296, precision: 0.3806, predictive_accuracy: 0.2622, prior_entropy: 1.585, ram_hours: 0, recall: 0.2622, relative_absolute_error: 1.1068, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.7014, root_relative_squared_error: 1.4878, run_cpu_time: 0.25,

    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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