Task
Supervised Data Stream Classification on page-blocks

Supervised Data Stream Classification on page-blocks

Task 2198 Supervised Data Stream Classification page-blocks 25 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.913, kappa: 0.5355, kb_relative_information_score: 4148.5254, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.32, number_of_instances: 5473, precision: 0.9154, predictive_accuracy: 0.9207, prior_entropy: 2.3219, ram_hours: 0, recall: 0.9207, relative_absolute_error: 0.2484, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.221, root_relative_squared_error: 0.5526, run_cpu_time: 0.0503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.9425, kappa: 0.7043, kb_relative_information_score: 5043.991, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.32, number_of_instances: 5473, precision: 0.944, predictive_accuracy: 0.9415, prior_entropy: 2.3219, ram_hours: 0, recall: 0.9415, relative_absolute_error: 0.1026, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.3352, run_cpu_time: 0.6511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8493, kb_relative_information_score: 4835.3577, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.32, number_of_instances: 5473, precision: 0.8058, predictive_accuracy: 0.8977, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8977, relative_absolute_error: 0.1279, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.5058, run_cpu_time: 0.0278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5344, f_measure: 0.8493, kb_relative_information_score: 4501.5202, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.32, number_of_instances: 5473, precision: 0.8058, predictive_accuracy: 0.8977, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8977, relative_absolute_error: 0.2432, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.195, root_relative_squared_error: 0.4875, run_cpu_time: 0.2633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5344, f_measure: 0.8493, kb_relative_information_score: 4501.5202, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.32, number_of_instances: 5473, precision: 0.8058, predictive_accuracy: 0.8977, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8977, relative_absolute_error: 0.2432, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.195, root_relative_squared_error: 0.4875, run_cpu_time: 0.0472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5502, f_measure: 0.8493, kb_relative_information_score: 4009.5707, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.32, number_of_instances: 5473, precision: 0.8058, predictive_accuracy: 0.8977, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8977, relative_absolute_error: 0.2757, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2429, root_relative_squared_error: 0.6071, run_cpu_time: 0.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.948, kappa: 0.7184, kb_relative_information_score: 4853.82, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.32, number_of_instances: 5473, precision: 0.9491, predictive_accuracy: 0.9483, prior_entropy: 2.3219, ram_hours: 0, recall: 0.9483, relative_absolute_error: 0.1717, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.3458, run_cpu_time: 0.6885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.933, kappa: 0.66, kb_relative_information_score: 5009.9967, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.32, number_of_instances: 5473, precision: 0.9429, predictive_accuracy: 0.9267, prior_entropy: 2.3219, ram_hours: 0, recall: 0.9267, relative_absolute_error: 0.096, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.4129, run_cpu_time: 0.1015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.678, f_measure: 0.8733, kappa: 0.3324, kb_relative_information_score: 4683.9177, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.32, number_of_instances: 5473, precision: 0.8732, predictive_accuracy: 0.8734, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8734, relative_absolute_error: 0.1583, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.5626, run_cpu_time: 0.0302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.933, kappa: 0.66, kb_relative_information_score: 5009.9967, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.32, number_of_instances: 5473, precision: 0.9429, predictive_accuracy: 0.9267, prior_entropy: 2.3219, ram_hours: 0, recall: 0.9267, relative_absolute_error: 0.096, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.4129, run_cpu_time: 0.1252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.933, kappa: 0.66, kb_relative_information_score: 5009.9967, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.32, number_of_instances: 5473, precision: 0.9429, predictive_accuracy: 0.9267, prior_entropy: 2.3219, ram_hours: 0, recall: 0.9267, relative_absolute_error: 0.096, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.4129, run_cpu_time: 0.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7462, f_measure: 0.8715, kappa: 0.2252, kb_relative_information_score: 4635.5841, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.32, number_of_instances: 5473, precision: 0.8712, predictive_accuracy: 0.8975, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8975, relative_absolute_error: 0.2002, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.469, run_cpu_time: 0.0718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.9269, kappa: 0.6295, kb_relative_information_score: 4657.8086, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.32, number_of_instances: 5473, precision: 0.9332, predictive_accuracy: 0.9222, prior_entropy: 2.3219, ram_hours: 0, recall: 0.9222, relative_absolute_error: 0.2215, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.156, root_relative_squared_error: 0.3901, run_cpu_time: 0.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.928, kappa: 0.6419, kb_relative_information_score: 4967.7218, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.32, number_of_instances: 5473, precision: 0.9391, predictive_accuracy: 0.9209, prior_entropy: 2.3219, ram_hours: 0, recall: 0.9209, relative_absolute_error: 0.11, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1615, root_relative_squared_error: 0.4037, run_cpu_time: 0.4717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.9326, kappa: 0.6203, kb_relative_information_score: 5102.8655, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.32, number_of_instances: 5473, precision: 0.934, predictive_accuracy: 0.9404, prior_entropy: 2.3219, ram_hours: 0, recall: 0.9404, relative_absolute_error: 0.0842, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1295, root_relative_squared_error: 0.3238, run_cpu_time: 1.0723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6127, f_measure: 0.8512, kappa: 0.2076, kb_relative_information_score: 4617.8762, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.32, number_of_instances: 5473, precision: 0.8408, predictive_accuracy: 0.8628, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8628, relative_absolute_error: 0.1715, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.5857, run_cpu_time: 0.0238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8678, f_measure: 0.8824, kappa: 0.4113, kb_relative_information_score: 3819.3396, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.32, number_of_instances: 5473, precision: 0.9004, predictive_accuracy: 0.8677, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8677, relative_absolute_error: 0.316, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2641, root_relative_squared_error: 0.6602, run_cpu_time: 0.1692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.9298, kappa: 0.6421, kb_relative_information_score: 4991.7464, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.32, number_of_instances: 5473, precision: 0.9408, predictive_accuracy: 0.9227, prior_entropy: 2.3219, ram_hours: 0, recall: 0.9227, relative_absolute_error: 0.099, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.17, root_relative_squared_error: 0.425, run_cpu_time: 0.1445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.917, kappa: 0.5449, kb_relative_information_score: 4142.2536, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.32, number_of_instances: 5473, precision: 0.9121, predictive_accuracy: 0.9244, prior_entropy: 2.3219, ram_hours: 0, recall: 0.9244, relative_absolute_error: 0.2553, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.5337, run_cpu_time: 0.0811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7574, f_measure: 0.8948, kappa: 0.4264, kb_relative_information_score: 1823.6119, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.32, number_of_instances: 5473, precision: 0.8886, predictive_accuracy: 0.913, prior_entropy: 2.3219, ram_hours: 0, recall: 0.913, relative_absolute_error: 0.8083, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.8478, run_cpu_time: 0.1027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8493, kb_relative_information_score: 4835.3577, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.32, number_of_instances: 5473, precision: 0.8058, predictive_accuracy: 0.8977, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8977, relative_absolute_error: 0.1279, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.5058, run_cpu_time: 0.1583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.9335, kappa: 0.6261, kb_relative_information_score: 5100.7272, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.32, number_of_instances: 5473, precision: 0.9346, predictive_accuracy: 0.9412, prior_entropy: 2.3219, ram_hours: 0, recall: 0.9412, relative_absolute_error: 0.0849, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.3231, run_cpu_time: 28.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.95, kappa: 0.7415, kb_relative_information_score: 5090.1443, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.32, number_of_instances: 5473, precision: 0.951, predictive_accuracy: 0.951, prior_entropy: 2.3219, ram_hours: 0, recall: 0.951, relative_absolute_error: 0.0941, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1237, root_relative_squared_error: 0.3092, run_cpu_time: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6566, f_measure: 0.8413, kappa: 0.2246, kb_relative_information_score: 4469.8521, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.32, number_of_instances: 5473, precision: 0.8483, predictive_accuracy: 0.839, prior_entropy: 2.3219, ram_hours: 0, recall: 0.839, relative_absolute_error: 0.2012, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2538, root_relative_squared_error: 0.6344, run_cpu_time: 0.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.9048, kappa: 0.4845, kb_relative_information_score: 4108.633, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.32, number_of_instances: 5473, precision: 0.8972, predictive_accuracy: 0.9136, prior_entropy: 2.3219, ram_hours: 0, recall: 0.9136, relative_absolute_error: 0.2558, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.5735, run_cpu_time: 0.06,

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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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