Task
Supervised Data Stream Classification on BNG(bridges_version1)

Supervised Data Stream Classification on BNG(bridges_version1)

Task 2149 Supervised Data Stream Classification BNG(bridges_version1) 287 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8809, f_measure: 0.6645, kappa: 0.5701, kb_relative_information_score: 530633.694, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.6903, predictive_accuracy: 0.6974, prior_entropy: 2.585, recall: 0.6974, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2793, root_relative_squared_error: 0.7493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.6846, kappa: 0.5929, kb_relative_information_score: 637465.2855, mean_absolute_error: 0.1303, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7008, predictive_accuracy: 0.7136, prior_entropy: 2.585, recall: 0.7136, relative_absolute_error: 0.469, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2641, root_relative_squared_error: 0.7086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.6844, kappa: 0.5927, kb_relative_information_score: 649499.2494, mean_absolute_error: 0.1246, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7007, predictive_accuracy: 0.7135, prior_entropy: 2.585, recall: 0.7135, relative_absolute_error: 0.4484, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2654, root_relative_squared_error: 0.7121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.6846, kappa: 0.5928, kb_relative_information_score: 663040.9321, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.701, predictive_accuracy: 0.7137, prior_entropy: 2.585, recall: 0.7137, relative_absolute_error: 0.4243, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2673, root_relative_squared_error: 0.7172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8815, f_measure: 0.716, kappa: 0.6331, kb_relative_information_score: 691452.2971, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7188, predictive_accuracy: 0.736, prior_entropy: 2.585, recall: 0.736, relative_absolute_error: 0.3832, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2634, root_relative_squared_error: 0.7069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.7265, kappa: 0.6458, kb_relative_information_score: 710770.1387, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7247, predictive_accuracy: 0.7424, prior_entropy: 2.585, recall: 0.7424, relative_absolute_error: 0.3564, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2638, root_relative_squared_error: 0.7079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, f_measure: 0.7328, kappa: 0.6522, kb_relative_information_score: 718976.0014, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7283, predictive_accuracy: 0.7431, prior_entropy: 2.585, recall: 0.7431, relative_absolute_error: 0.3385, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2711, root_relative_squared_error: 0.7275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.7328, kappa: 0.6522, kb_relative_information_score: 716909.4078, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7283, predictive_accuracy: 0.7431, prior_entropy: 2.585, recall: 0.7431, relative_absolute_error: 0.3083, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2927, root_relative_squared_error: 0.7853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8809, f_measure: 0.6645, kappa: 0.5701, kb_relative_information_score: 530633.694, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.6903, predictive_accuracy: 0.6974, prior_entropy: 2.585, recall: 0.6974, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2793, root_relative_squared_error: 0.7493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8734, f_measure: 0.6572, kappa: 0.5596, kb_relative_information_score: 579988.1889, mean_absolute_error: 0.1523, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.6858, predictive_accuracy: 0.6933, prior_entropy: 2.585, recall: 0.6933, relative_absolute_error: 0.5482, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2748, root_relative_squared_error: 0.7374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.6496, kappa: 0.5481, kb_relative_information_score: 644565.4155, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.6847, predictive_accuracy: 0.6883, prior_entropy: 2.585, recall: 0.6883, relative_absolute_error: 0.4468, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.7336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.6827, kappa: 0.5923, kb_relative_information_score: 687471.108, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.6944, predictive_accuracy: 0.7109, prior_entropy: 2.585, recall: 0.7109, relative_absolute_error: 0.3878, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.265, root_relative_squared_error: 0.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.7092, kappa: 0.6254, kb_relative_information_score: 709401.4897, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7133, predictive_accuracy: 0.73, prior_entropy: 2.585, recall: 0.73, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2644, root_relative_squared_error: 0.7095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, f_measure: 0.6772, kappa: 0.5853, kb_relative_information_score: 718010.9786, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.6859, predictive_accuracy: 0.7017, prior_entropy: 2.585, recall: 0.7017, relative_absolute_error: 0.3396, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.7289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.7328, kappa: 0.6522, kb_relative_information_score: 716911.6113, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7283, predictive_accuracy: 0.7431, prior_entropy: 2.585, recall: 0.7431, relative_absolute_error: 0.3083, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2927, root_relative_squared_error: 0.7853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.7328, kappa: 0.6522, kb_relative_information_score: 716911.6113, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7283, predictive_accuracy: 0.7431, prior_entropy: 2.585, recall: 0.7431, relative_absolute_error: 0.3083, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2927, root_relative_squared_error: 0.7853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.7328, kappa: 0.6522, kb_relative_information_score: 716911.6113, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7283, predictive_accuracy: 0.7431, prior_entropy: 2.585, recall: 0.7431, relative_absolute_error: 0.3083, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2927, root_relative_squared_error: 0.7853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.7328, kappa: 0.6522, kb_relative_information_score: 716909.4078, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7283, predictive_accuracy: 0.7431, prior_entropy: 2.585, recall: 0.7431, relative_absolute_error: 0.3083, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2927, root_relative_squared_error: 0.7853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, f_measure: 0.7294, kappa: 0.6479, kb_relative_information_score: 713882.8852, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7248, predictive_accuracy: 0.7403, prior_entropy: 2.585, recall: 0.7403, relative_absolute_error: 0.3116, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.7895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8032, f_measure: 0.6992, kappa: 0.6083, kb_relative_information_score: 685971.0088, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.6952, predictive_accuracy: 0.715, prior_entropy: 2.585, recall: 0.715, relative_absolute_error: 0.342, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3082, root_relative_squared_error: 0.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.7328, kappa: 0.6522, kb_relative_information_score: 716909.4078, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7283, predictive_accuracy: 0.7431, prior_entropy: 2.585, recall: 0.7431, relative_absolute_error: 0.3083, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2927, root_relative_squared_error: 0.7853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.7328, kappa: 0.6522, kb_relative_information_score: 716911.6113, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7283, predictive_accuracy: 0.7431, prior_entropy: 2.585, recall: 0.7431, relative_absolute_error: 0.3083, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2927, root_relative_squared_error: 0.7853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.7328, kappa: 0.6522, kb_relative_information_score: 716899.492, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7283, predictive_accuracy: 0.743, prior_entropy: 2.585, recall: 0.743, relative_absolute_error: 0.3083, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2927, root_relative_squared_error: 0.7853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.7328, kappa: 0.6522, kb_relative_information_score: 716901.6955, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7283, predictive_accuracy: 0.743, prior_entropy: 2.585, recall: 0.743, relative_absolute_error: 0.3083, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2927, root_relative_squared_error: 0.7853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, f_measure: 0.6324, kappa: 0.5533, kb_relative_information_score: 549195.2704, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.6509, predictive_accuracy: 0.6797, prior_entropy: 2.585, recall: 0.6797, relative_absolute_error: 0.5607, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2707, root_relative_squared_error: 0.7265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.632, kappa: 0.5534, kb_relative_information_score: 547672.2588, mean_absolute_error: 0.1565, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.6521, predictive_accuracy: 0.6802, prior_entropy: 2.585, recall: 0.6802, relative_absolute_error: 0.5633, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2704, root_relative_squared_error: 0.7256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.6316, kappa: 0.5531, kb_relative_information_score: 543992.5322, mean_absolute_error: 0.1577, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.6572, predictive_accuracy: 0.6805, prior_entropy: 2.585, recall: 0.6805, relative_absolute_error: 0.5678, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2707, root_relative_squared_error: 0.7265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.6304, kappa: 0.5522, kb_relative_information_score: 538428.9664, mean_absolute_error: 0.1596, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.6474, predictive_accuracy: 0.6804, prior_entropy: 2.585, recall: 0.6804, relative_absolute_error: 0.5747, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.7294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7036, f_measure: 0.4232, kappa: 0.2261, kb_relative_information_score: 371627.9074, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.4124, predictive_accuracy: 0.4543, prior_entropy: 2.585, recall: 0.4543, relative_absolute_error: 0.7375, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.9485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.4702, kappa: 0.2951, kb_relative_information_score: 428172.3938, mean_absolute_error: 0.1846, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.467, predictive_accuracy: 0.51, prior_entropy: 2.585, recall: 0.51, relative_absolute_error: 0.6644, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.8954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.7328, kappa: 0.6522, kb_relative_information_score: 716909.4078, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7283, predictive_accuracy: 0.7431, prior_entropy: 2.585, recall: 0.7431, relative_absolute_error: 0.3083, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2927, root_relative_squared_error: 0.7853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.7251, kappa: 0.6422, kb_relative_information_score: 709880.2071, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7204, predictive_accuracy: 0.7367, prior_entropy: 2.585, recall: 0.7367, relative_absolute_error: 0.316, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2963, root_relative_squared_error: 0.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8483, f_measure: 0.6133, kappa: 0.489, kb_relative_information_score: 557293.231, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.612, predictive_accuracy: 0.6352, prior_entropy: 2.585, recall: 0.6352, relative_absolute_error: 0.5386, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.7856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.7049, kappa: 0.6155, kb_relative_information_score: 690888.1441, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7007, predictive_accuracy: 0.7194, prior_entropy: 2.585, recall: 0.7194, relative_absolute_error: 0.3367, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3058, root_relative_squared_error: 0.8206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.7328, kappa: 0.6522, kb_relative_information_score: 716901.6955, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7283, predictive_accuracy: 0.743, prior_entropy: 2.585, recall: 0.743, relative_absolute_error: 0.3083, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2927, root_relative_squared_error: 0.7853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.7002, kappa: 0.6122, kb_relative_information_score: 521524.2142, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7112, predictive_accuracy: 0.7137, prior_entropy: 2.585, recall: 0.7137, relative_absolute_error: 0.6427, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.7687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8723, f_measure: 0.7223, kappa: 0.6403, kb_relative_information_score: 666536.2516, mean_absolute_error: 0.1207, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7208, predictive_accuracy: 0.7374, prior_entropy: 2.585, recall: 0.7374, relative_absolute_error: 0.4344, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2603, root_relative_squared_error: 0.6984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8723, f_measure: 0.7222, kappa: 0.6405, kb_relative_information_score: 685008.8565, mean_absolute_error: 0.1117, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7203, predictive_accuracy: 0.7376, prior_entropy: 2.585, recall: 0.7376, relative_absolute_error: 0.4022, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2623, root_relative_squared_error: 0.7039,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5855, f_measure: 0.3253, kappa: 0.0802, kb_relative_information_score: 238933.065, mean_absolute_error: 0.2414, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.3727, predictive_accuracy: 0.4311, prior_entropy: 2.585, recall: 0.4311, relative_absolute_error: 0.869, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3511, root_relative_squared_error: 0.9422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.7328, kappa: 0.6522, kb_relative_information_score: 688978.9201, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7283, predictive_accuracy: 0.7431, prior_entropy: 2.585, recall: 0.7431, relative_absolute_error: 0.3877, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2441, root_relative_squared_error: 0.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.7328, kappa: 0.6522, kb_relative_information_score: 716909.4078, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7283, predictive_accuracy: 0.7431, prior_entropy: 2.585, recall: 0.7431, relative_absolute_error: 0.3083, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2927, root_relative_squared_error: 0.7853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.726, kappa: 0.6433, kb_relative_information_score: 710655.843, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7213, predictive_accuracy: 0.7374, prior_entropy: 2.585, recall: 0.7374, relative_absolute_error: 0.3151, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2959, root_relative_squared_error: 0.7939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8082, f_measure: 0.7053, kappa: 0.6162, kb_relative_information_score: 690993.9126, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7009, predictive_accuracy: 0.7195, prior_entropy: 2.585, recall: 0.7195, relative_absolute_error: 0.3366, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3058, root_relative_squared_error: 0.8204,

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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