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Supervised Data Stream Classification on BNG(letter,nominal,1000000)

Supervised Data Stream Classification on BNG(letter,nominal,1000000)

Task 124 Supervised Data Stream Classification BNG(letter,nominal,1000000) 42 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5155, f_measure: 0.0038, kappa: 0.0005, kb_relative_information_score: 45022.0427, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.0367, predictive_accuracy: 0.0389, prior_entropy: 4.7004, recall: 0.0389, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2658, root_relative_squared_error: 1.3819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.4844, kappa: 0.4662, kb_relative_information_score: 164844.8934, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.4909, predictive_accuracy: 0.4868, prior_entropy: 4.7004, recall: 0.4868, relative_absolute_error: 0.9709, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.9758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.4138, kappa: 0.3981, kb_relative_information_score: 461861.3812, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.4216, predictive_accuracy: 0.4213, prior_entropy: 4.7004, recall: 0.4213, relative_absolute_error: 0.7315, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.8727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.003, kb_relative_information_score: 27892.0339, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.0016, predictive_accuracy: 0.0395, prior_entropy: 4.7004, recall: 0.0395, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2718, root_relative_squared_error: 1.4135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0028, kb_relative_information_score: 26830.4061, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.0015, predictive_accuracy: 0.0384, prior_entropy: 4.7004, recall: 0.0384, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.5078, kappa: 0.4952, kb_relative_information_score: 499062.278, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.5145, predictive_accuracy: 0.5146, prior_entropy: 4.7004, recall: 0.5146, relative_absolute_error: 0.6891, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1557, root_relative_squared_error: 0.8095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0028, kb_relative_information_score: 26830.4061, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.0015, predictive_accuracy: 0.0384, prior_entropy: 4.7004, recall: 0.0384, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.5151, kappa: 0.5014, kb_relative_information_score: 561602.101, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.5188, predictive_accuracy: 0.5206, prior_entropy: 4.7004, recall: 0.5206, relative_absolute_error: 0.6337, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.7991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6457, f_measure: 0.0693, kappa: 0.056, kb_relative_information_score: 85164.9051, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.0708, predictive_accuracy: 0.0928, prior_entropy: 4.7004, recall: 0.0928, relative_absolute_error: 0.9832, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.9907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5657, f_measure: 0.0833, kappa: 0.0598, kb_relative_information_score: 118610.0287, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.0904, predictive_accuracy: 0.0962, prior_entropy: 4.7004, recall: 0.0962, relative_absolute_error: 0.9388, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2373, root_relative_squared_error: 1.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.4911, kappa: 0.48, kb_relative_information_score: 527724.2328, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.4999, predictive_accuracy: 0.5, prior_entropy: 4.7004, recall: 0.5, relative_absolute_error: 0.6823, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1564, root_relative_squared_error: 0.8133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, f_measure: 0.4311, kappa: 0.3869, kb_relative_information_score: 434307.8041, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.5435, predictive_accuracy: 0.4105, prior_entropy: 4.7004, recall: 0.4105, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.9353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7428, f_measure: 0.343, kappa: 0.301, kb_relative_information_score: 327129.7905, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.4821, predictive_accuracy: 0.3283, prior_entropy: 4.7004, recall: 0.3283, relative_absolute_error: 0.776, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.9273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.4482, kappa: 0.4403, kb_relative_information_score: 499107.9648, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.4712, predictive_accuracy: 0.4618, prior_entropy: 4.7004, recall: 0.4618, relative_absolute_error: 0.6947, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6417, f_measure: 0.0412, kappa: 0.0642, kb_relative_information_score: 122611.0859, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.0453, predictive_accuracy: 0.101, prior_entropy: 4.7004, recall: 0.101, relative_absolute_error: 0.9687, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.9842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.5039, kappa: 0.4899, kb_relative_information_score: 559147.6026, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.5121, predictive_accuracy: 0.5095, prior_entropy: 4.7004, recall: 0.5095, relative_absolute_error: 0.6172, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1551, root_relative_squared_error: 0.8067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.003, kb_relative_information_score: 27892.0339, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.0016, predictive_accuracy: 0.0395, prior_entropy: 4.7004, recall: 0.0395, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2718, root_relative_squared_error: 1.4135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7938, f_measure: 0.4203, kappa: 0.4046, kb_relative_information_score: 463151.5551, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.4365, predictive_accuracy: 0.4276, prior_entropy: 4.7004, recall: 0.4276, relative_absolute_error: 0.6855, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1791, root_relative_squared_error: 0.9312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.003, kb_relative_information_score: 27892.0339, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.0016, predictive_accuracy: 0.0395, prior_entropy: 4.7004, ram_hours: 0, recall: 0.0395, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2718, root_relative_squared_error: 1.4135, run_cpu_time: 11.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4976, f_measure: 0.0037, kappa: -0, kb_relative_information_score: 3876.0081, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.0114, predictive_accuracy: 0.0408, prior_entropy: 4.7004, ram_hours: 0, recall: 0.0408, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1, run_cpu_time: 35.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6665, f_measure: 0.4018, kappa: 0.3276, kb_relative_information_score: 374413.6781, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.5352, predictive_accuracy: 0.3537, prior_entropy: 4.7004, ram_hours: 0.0014, recall: 0.3537, relative_absolute_error: 0.7481, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2057, root_relative_squared_error: 1.0698, run_cpu_time: 374.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.0382, kappa: -0.0003, kb_relative_information_score: 26589.5411, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.0382, predictive_accuracy: 0.0382, prior_entropy: 4.7004, ram_hours: 0, recall: 0.0382, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4144, run_cpu_time: 16.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0028, kb_relative_information_score: 26830.4061, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.0015, predictive_accuracy: 0.0384, prior_entropy: 4.7004, ram_hours: 0, recall: 0.0384, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4143, run_cpu_time: 10.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.4044, kappa: 0.3851, kb_relative_information_score: 456974.0932, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.4447, predictive_accuracy: 0.4088, prior_entropy: 4.7004, ram_hours: 0, recall: 0.4088, relative_absolute_error: 0.7346, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.8799, run_cpu_time: 74.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7938, f_measure: 0.4203, kappa: 0.4046, kb_relative_information_score: 463151.5551, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.4365, predictive_accuracy: 0.4276, prior_entropy: 4.7004, ram_hours: 0, recall: 0.4276, relative_absolute_error: 0.6855, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1791, root_relative_squared_error: 0.9312, run_cpu_time: 22.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8152, f_measure: 0.2003, kappa: 0.221, kb_relative_information_score: 278106.9088, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.2167, predictive_accuracy: 0.251, prior_entropy: 4.7004, ram_hours: 0.0001, recall: 0.251, relative_absolute_error: 0.8895, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.9408, run_cpu_time: 95.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.3501, kappa: 0.3467, kb_relative_information_score: 434750.5143, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.3913, predictive_accuracy: 0.3719, prior_entropy: 4.7004, ram_hours: 0, recall: 0.3719, relative_absolute_error: 0.7651, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.9128, run_cpu_time: 27.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, f_measure: 0.512, kappa: 0.4968, kb_relative_information_score: 566889.15, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.5174, predictive_accuracy: 0.5161, prior_entropy: 4.7004, ram_hours: 0.0001, recall: 0.5161, relative_absolute_error: 0.6074, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1542, root_relative_squared_error: 0.8021, run_cpu_time: 210.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6051, f_measure: 0.3284, kappa: 0.2463, kb_relative_information_score: 292956.0343, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.5118, predictive_accuracy: 0.2757, prior_entropy: 4.7004, ram_hours: 0.0009, recall: 0.2757, relative_absolute_error: 0.8075, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2226, root_relative_squared_error: 1.1574, run_cpu_time: 341.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.517, kappa: 0.5037, kb_relative_information_score: 567745.0802, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.5252, predictive_accuracy: 0.5228, prior_entropy: 4.7004, ram_hours: 0.0015, recall: 0.5228, relative_absolute_error: 0.6176, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1525, root_relative_squared_error: 0.7928, run_cpu_time: 616.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5269, f_measure: 0.0278, kappa: 0.0538, kb_relative_information_score: 79291.3093, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.0188, predictive_accuracy: 0.0903, prior_entropy: 4.7004, ram_hours: 0, recall: 0.0903, relative_absolute_error: 0.9461, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2645, root_relative_squared_error: 1.3752, run_cpu_time: 16.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.3498, kappa: 0.3323, kb_relative_information_score: 405623.7559, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.4036, predictive_accuracy: 0.358, prior_entropy: 4.7004, ram_hours: 0, recall: 0.358, relative_absolute_error: 0.7916, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.8918, run_cpu_time: 58.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.5159, kappa: 0.5027, kb_relative_information_score: 565421.6039, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.5243, predictive_accuracy: 0.5218, prior_entropy: 4.7004, ram_hours: 0.0009, recall: 0.5218, relative_absolute_error: 0.621, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.7936, run_cpu_time: 435.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.5039, kappa: 0.4899, kb_relative_information_score: 559147.6026, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.5121, predictive_accuracy: 0.5095, prior_entropy: 4.7004, ram_hours: 0, recall: 0.5095, relative_absolute_error: 0.6172, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1551, root_relative_squared_error: 0.8067, run_cpu_time: 92.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.003, kb_relative_information_score: 27869.6625, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.0016, predictive_accuracy: 0.0395, prior_entropy: 4.7004, ram_hours: 0.002, recall: 0.0395, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2718, root_relative_squared_error: 1.4131, run_cpu_time: 72.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.4451, kappa: 0.4268, kb_relative_information_score: 167176.9945, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.4603, predictive_accuracy: 0.4488, prior_entropy: 4.7004, ram_hours: 0, recall: 0.4488, relative_absolute_error: 0.9706, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.9762, run_cpu_time: 128.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.851, f_measure: 0.3739, kappa: 0.3543, kb_relative_information_score: 414711.6167, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.3989, predictive_accuracy: 0.3791, prior_entropy: 4.7004, ram_hours: 0.0008, recall: 0.3791, relative_absolute_error: 0.8137, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.8967, run_cpu_time: 5156.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, f_measure: 0.435, kappa: 0.42, kb_relative_information_score: 479506.5297, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.443, predictive_accuracy: 0.4423, prior_entropy: 4.7004, ram_hours: 0.0001, recall: 0.4423, relative_absolute_error: 0.7186, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.8549, run_cpu_time: 568.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, f_measure: 0.3727, kappa: 0.3531, kb_relative_information_score: 414629.0297, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.3991, predictive_accuracy: 0.3779, prior_entropy: 4.7004, ram_hours: 0, recall: 0.3779, relative_absolute_error: 0.8137, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.8969, run_cpu_time: 338.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.5039, kappa: 0.4899, kb_relative_information_score: 559147.6026, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.5121, predictive_accuracy: 0.5095, prior_entropy: 4.7004, ram_hours: 0, recall: 0.5095, relative_absolute_error: 0.6172, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1551, root_relative_squared_error: 0.8067, run_cpu_time: 96.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0028, kb_relative_information_score: 26830.4061, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.0015, predictive_accuracy: 0.0384, prior_entropy: 4.7004, ram_hours: 0, recall: 0.0384, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4143, run_cpu_time: 11.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, f_measure: 0.4481, kappa: 0.4402, kb_relative_information_score: 499931.132, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.4711, predictive_accuracy: 0.4617, prior_entropy: 4.7004, ram_hours: 0, recall: 0.4617, relative_absolute_error: 0.6932, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.846, run_cpu_time: 71.7,

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    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.

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    evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
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