Task
Supervised Data Stream Classification on BNG(credit-g,nominal,1000000)

Supervised Data Stream Classification on BNG(credit-g,nominal,1000000)

Task 166 Supervised Data Stream Classification BNG(credit-g,nominal,1000000) 47 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, f_measure: 0.7788, kappa: 0.4586, kb_relative_information_score: 438192.5955, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7795, predictive_accuracy: 0.7883, prior_entropy: 1, recall: 0.7883, relative_absolute_error: 0.5935, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3838, root_relative_squared_error: 0.7676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.7418, kappa: 0.3614, kb_relative_information_score: 380263.7529, mean_absolute_error: 0.3249, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.749, predictive_accuracy: 0.762, prior_entropy: 1, recall: 0.762, relative_absolute_error: 0.6497, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6704, f_measure: 0.7406, kappa: 0.3568, kb_relative_information_score: 530333.8584, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7547, predictive_accuracy: 0.7651, prior_entropy: 1, recall: 0.7651, relative_absolute_error: 0.4697, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4831, root_relative_squared_error: 0.9662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7141, f_measure: 0.7596, kappa: 0.4133, kb_relative_information_score: 536571.0947, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.758, predictive_accuracy: 0.7682, prior_entropy: 1, recall: 0.7682, relative_absolute_error: 0.4634, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.478, root_relative_squared_error: 0.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.774, kappa: 0.4502, kb_relative_information_score: 450868.8817, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7724, predictive_accuracy: 0.7808, prior_entropy: 1, recall: 0.7808, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.7773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.7766, kappa: 0.4539, kb_relative_information_score: 441906.2731, mean_absolute_error: 0.2928, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7763, predictive_accuracy: 0.7853, prior_entropy: 1, recall: 0.7853, relative_absolute_error: 0.5857, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3842, root_relative_squared_error: 0.7685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5759, kb_relative_information_score: 399174, mean_absolute_error: 0.3004, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.4894, predictive_accuracy: 0.6996, prior_entropy: 1, recall: 0.6996, relative_absolute_error: 0.6008, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5481, root_relative_squared_error: 1.0962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.652, f_measure: 0.7365, kappa: 0.3467, kb_relative_information_score: 522340.997, mean_absolute_error: 0.2388, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7492, predictive_accuracy: 0.7611, prior_entropy: 1, recall: 0.7611, relative_absolute_error: 0.4777, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4882, root_relative_squared_error: 0.9764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6284, f_measure: 0.6598, kappa: 0.1721, kb_relative_information_score: 300310.8151, mean_absolute_error: 0.3526, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6534, predictive_accuracy: 0.6701, prior_entropy: 1, recall: 0.6701, relative_absolute_error: 0.7053, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5114, root_relative_squared_error: 1.0227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, f_measure: 0.712, kappa: 0.2979, kb_relative_information_score: 346643.6564, mean_absolute_error: 0.3402, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7078, predictive_accuracy: 0.7217, prior_entropy: 1, recall: 0.7217, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.8686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.605, f_measure: 0.7028, kappa: 0.28, kb_relative_information_score: 373780.4124, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6987, predictive_accuracy: 0.7095, prior_entropy: 1, recall: 0.7095, relative_absolute_error: 0.6397, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5171, root_relative_squared_error: 1.0341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6712, f_measure: 0.5759, kb_relative_information_score: 268371.52, mean_absolute_error: 0.3767, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.4894, predictive_accuracy: 0.6996, prior_entropy: 1, recall: 0.6996, relative_absolute_error: 0.7534, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.8685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5598, f_measure: 0.6555, kappa: 0.1484, kb_relative_information_score: 423558, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6783, predictive_accuracy: 0.7118, prior_entropy: 1, recall: 0.7118, relative_absolute_error: 0.5764, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5369, root_relative_squared_error: 1.0737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6629, f_measure: 0.6979, kappa: 0.2649, kb_relative_information_score: 355230.2329, mean_absolute_error: 0.329, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6932, predictive_accuracy: 0.7071, prior_entropy: 1, recall: 0.7071, relative_absolute_error: 0.6581, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4879, root_relative_squared_error: 0.9758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7156, f_measure: 0.7459, kappa: 0.3729, kb_relative_information_score: 522841.7625, mean_absolute_error: 0.2387, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7497, predictive_accuracy: 0.7628, prior_entropy: 1, recall: 0.7628, relative_absolute_error: 0.4773, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6442, f_measure: 0.7141, kappa: 0.3036, kb_relative_information_score: 311523.8761, mean_absolute_error: 0.3607, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.71, predictive_accuracy: 0.7232, prior_entropy: 1, recall: 0.7232, relative_absolute_error: 0.7214, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.8982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.7738, kappa: 0.4495, kb_relative_information_score: 450370.8681, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7723, predictive_accuracy: 0.7807, prior_entropy: 1, recall: 0.7807, relative_absolute_error: 0.5743, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.7775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7064, f_measure: 0.576, kappa: 0.0001, kb_relative_information_score: 285833.2512, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6366, predictive_accuracy: 0.6996, prior_entropy: 1, recall: 0.6996, relative_absolute_error: 0.7375, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.8588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, f_measure: 0.7751, kappa: 0.4505, kb_relative_information_score: 442919.2898, mean_absolute_error: 0.293, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7747, predictive_accuracy: 0.7838, prior_entropy: 1, recall: 0.7838, relative_absolute_error: 0.5859, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.391, root_relative_squared_error: 0.7819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5759, kb_relative_information_score: 399174, mean_absolute_error: 0.3004, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.4894, predictive_accuracy: 0.6996, prior_entropy: 1, recall: 0.6996, relative_absolute_error: 0.6008, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5481, root_relative_squared_error: 1.0962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6806, f_measure: 0.7169, kappa: 0.31, kb_relative_information_score: 340269.13, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.713, predictive_accuracy: 0.7265, prior_entropy: 1, recall: 0.7265, relative_absolute_error: 0.6887, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4594, root_relative_squared_error: 0.9188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5759, kb_relative_information_score: 399174, mean_absolute_error: 0.3004, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.4894, predictive_accuracy: 0.6996, prior_entropy: 1, ram_hours: 0, recall: 0.6996, relative_absolute_error: 0.6008, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5481, root_relative_squared_error: 1.0962, run_cpu_time: 10.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.7749, kappa: 0.4514, kb_relative_information_score: 227535.7063, mean_absolute_error: 0.4065, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7736, predictive_accuracy: 0.7823, prior_entropy: 1, ram_hours: 0.001, recall: 0.7823, relative_absolute_error: 0.813, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8466, run_cpu_time: 142.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6577, f_measure: 0.7229, kappa: 0.3287, kb_relative_information_score: 458618, mean_absolute_error: 0.2707, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7194, predictive_accuracy: 0.7293, prior_entropy: 1, ram_hours: 0, recall: 0.7293, relative_absolute_error: 0.5414, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5203, root_relative_squared_error: 1.0406, run_cpu_time: 9.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.814, f_measure: 0.7752, kappa: 0.4507, kb_relative_information_score: 443363.111, mean_absolute_error: 0.2927, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7747, predictive_accuracy: 0.7838, prior_entropy: 1, ram_hours: 0, recall: 0.7838, relative_absolute_error: 0.5854, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.391, root_relative_squared_error: 0.782, run_cpu_time: 19.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, f_measure: 0.5804, kappa: 0.0017, kb_relative_information_score: 160734, mean_absolute_error: 0.4196, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.5804, predictive_accuracy: 0.5804, prior_entropy: 1, ram_hours: 0, recall: 0.5804, relative_absolute_error: 0.8393, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6478, root_relative_squared_error: 1.2956, run_cpu_time: 8.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, f_measure: 0.772, kappa: 0.4429, kb_relative_information_score: 438074.9544, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7714, predictive_accuracy: 0.7807, prior_entropy: 1, ram_hours: 0, recall: 0.7807, relative_absolute_error: 0.5903, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.7896, run_cpu_time: 35.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5629, f_measure: 0.6586, kappa: 0.1569, kb_relative_information_score: 432136, mean_absolute_error: 0.2839, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6876, predictive_accuracy: 0.7162, prior_entropy: 1, ram_hours: 0, recall: 0.7162, relative_absolute_error: 0.5679, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5326, root_relative_squared_error: 1.0652, run_cpu_time: 8.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5759, kb_relative_information_score: 398824, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.4894, predictive_accuracy: 0.6996, prior_entropy: 1, ram_hours: 0.0025, recall: 0.6996, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.548, root_relative_squared_error: 1.0961, run_cpu_time: 77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6806, f_measure: 0.7169, kappa: 0.31, kb_relative_information_score: 340269.13, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.713, predictive_accuracy: 0.7265, prior_entropy: 1, ram_hours: 0, recall: 0.7265, relative_absolute_error: 0.6887, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4594, root_relative_squared_error: 0.9188, run_cpu_time: 10.21,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, f_measure: 0.7384, kappa: 0.3575, kb_relative_information_score: 365377.5233, mean_absolute_error: 0.3316, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7377, predictive_accuracy: 0.7519, prior_entropy: 1, ram_hours: 0, recall: 0.7519, relative_absolute_error: 0.6632, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.8206, run_cpu_time: 12.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7228, f_measure: 0.7097, kappa: 0.2997, kb_relative_information_score: 285451.6758, mean_absolute_error: 0.3704, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7064, predictive_accuracy: 0.7144, prior_entropy: 1, ram_hours: 0.1418, recall: 0.7144, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.8709, run_cpu_time: 1489.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.7781, kappa: 0.4567, kb_relative_information_score: 437424.8354, mean_absolute_error: 0.2971, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7787, predictive_accuracy: 0.7876, prior_entropy: 1, ram_hours: 0.0011, recall: 0.7876, relative_absolute_error: 0.5942, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.7691, run_cpu_time: 152.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.7784, kappa: 0.4576, kb_relative_information_score: 438032.5428, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.779, predictive_accuracy: 0.7878, prior_entropy: 1, ram_hours: 0.0009, recall: 0.7878, relative_absolute_error: 0.5934, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.7691, run_cpu_time: 115.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8223, f_measure: 0.7733, kappa: 0.448, kb_relative_information_score: 436401.1213, mean_absolute_error: 0.2953, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7718, predictive_accuracy: 0.7804, prior_entropy: 1, ram_hours: 0, recall: 0.7804, relative_absolute_error: 0.5905, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.7773, run_cpu_time: 11.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7189, f_measure: 0.7022, kappa: 0.2656, kb_relative_information_score: 323007.8944, mean_absolute_error: 0.3525, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7002, predictive_accuracy: 0.7215, prior_entropy: 1, ram_hours: 0, recall: 0.7215, relative_absolute_error: 0.7049, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.8749, run_cpu_time: 9.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.576, kappa: 0.0001, kb_relative_information_score: 193182.4931, mean_absolute_error: 0.4204, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6366, predictive_accuracy: 0.6996, prior_entropy: 1, ram_hours: 0, recall: 0.6996, relative_absolute_error: 0.8409, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4584, root_relative_squared_error: 0.9169, run_cpu_time: 9.95,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.814, f_measure: 0.7752, kappa: 0.4507, kb_relative_information_score: 443363.111, mean_absolute_error: 0.2927, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7747, predictive_accuracy: 0.7838, prior_entropy: 1, ram_hours: 0, recall: 0.7838, relative_absolute_error: 0.5854, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.391, root_relative_squared_error: 0.782, run_cpu_time: 17.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.651, f_measure: 0.7366, kappa: 0.3471, kb_relative_information_score: 522446, mean_absolute_error: 0.2388, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7493, predictive_accuracy: 0.7612, prior_entropy: 1, ram_hours: 0, recall: 0.7612, relative_absolute_error: 0.4776, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4886, root_relative_squared_error: 0.9773, run_cpu_time: 9.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.7783, kappa: 0.4577, kb_relative_information_score: 438227.4839, mean_absolute_error: 0.2961, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7785, predictive_accuracy: 0.7874, prior_entropy: 1, ram_hours: 0.0153, recall: 0.7874, relative_absolute_error: 0.5922, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.7687, run_cpu_time: 418.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.774, kappa: 0.4502, kb_relative_information_score: 450855.5055, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7724, predictive_accuracy: 0.7808, prior_entropy: 1, ram_hours: 0, recall: 0.7808, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.7774, run_cpu_time: 11.59,

    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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