Task
Supervised Data Stream Classification on optdigits

Supervised Data Stream Classification on optdigits

Task 2196 Supervised Data Stream Classification optdigits 25 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5109, f_measure: 0.0488, kappa: 0.0219, kb_relative_information_score: 453.958, mean_absolute_error: 0.1758, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.0399, predictive_accuracy: 0.121, prior_entropy: 3.3219, ram_hours: 0, recall: 0.121, relative_absolute_error: 0.9767, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4193, root_relative_squared_error: 1.3976, run_cpu_time: 0.0751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4959, f_measure: 0.0927, kappa: -0.0081, kb_relative_information_score: 287.6826, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.0927, predictive_accuracy: 0.0927, prior_entropy: 3.3219, ram_hours: 0, recall: 0.0927, relative_absolute_error: 1.0081, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.426, root_relative_squared_error: 1.4199, run_cpu_time: 0.1422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.882, kappa: 0.8681, kb_relative_information_score: 4939.5621, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8854, predictive_accuracy: 0.8813, prior_entropy: 3.3219, recall: 0.8813, relative_absolute_error: 0.132, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.15, root_relative_squared_error: 0.4999, run_cpu_time: 1.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.8279, kappa: 0.7806, kb_relative_information_score: 1369.3396, mean_absolute_error: 0.1639, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8969, predictive_accuracy: 0.8025, prior_entropy: 3.3219, recall: 0.8025, relative_absolute_error: 0.9104, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2774, root_relative_squared_error: 0.9248, run_cpu_time: 1.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.8837, kappa: 0.8701, kb_relative_information_score: 4956.6113, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8871, predictive_accuracy: 0.8831, prior_entropy: 3.3219, ram_hours: 0, recall: 0.8831, relative_absolute_error: 0.14, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.4754, run_cpu_time: 13.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, f_measure: 0.0177, kb_relative_information_score: 269.6488, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.0097, predictive_accuracy: 0.0986, prior_entropy: 3.3219, recall: 0.0986, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.405, root_relative_squared_error: 1.3501, run_cpu_time: 0.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.7704, kappa: 0.7211, kb_relative_information_score: 4101.099, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8412, predictive_accuracy: 0.7489, prior_entropy: 3.3219, recall: 0.7489, relative_absolute_error: 0.2792, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.6058, run_cpu_time: 1.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.8945, kappa: 0.8824, kb_relative_information_score: 4692.3671, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.896, predictive_accuracy: 0.8941, prior_entropy: 3.3219, ram_hours: 0, recall: 0.8941, relative_absolute_error: 0.2706, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.141, root_relative_squared_error: 0.4702, run_cpu_time: 8.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.8821, kappa: 0.8681, kb_relative_information_score: 4961.4484, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8856, predictive_accuracy: 0.8813, prior_entropy: 3.3219, ram_hours: 0, recall: 0.8813, relative_absolute_error: 0.1394, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.4726, run_cpu_time: 10.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9537, kappa: 0.9488, kb_relative_information_score: 5291.7828, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9542, predictive_accuracy: 0.9539, prior_entropy: 3.3219, ram_hours: 0, recall: 0.9539, relative_absolute_error: 0.0978, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0859, root_relative_squared_error: 0.2863, run_cpu_time: 5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4575, f_measure: 0.0536, kappa: -0.0278, kb_relative_information_score: 30.6223, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.0615, predictive_accuracy: 0.0762, prior_entropy: 3.3219, recall: 0.0762, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0008, run_cpu_time: 0.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5831, f_measure: 0.199, kappa: 0.1403, kb_relative_information_score: 1019.457, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.1904, predictive_accuracy: 0.2262, prior_entropy: 3.3219, recall: 0.2262, relative_absolute_error: 0.8586, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3722, root_relative_squared_error: 1.2407, run_cpu_time: 0.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6231, f_measure: 0.1707, kappa: 0.0898, kb_relative_information_score: 720.7246, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.1745, predictive_accuracy: 0.181, prior_entropy: 3.3219, recall: 0.181, relative_absolute_error: 0.9338, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.972, run_cpu_time: 1.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.882, kappa: 0.8681, kb_relative_information_score: 4939.5621, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8854, predictive_accuracy: 0.8813, prior_entropy: 3.3219, recall: 0.8813, relative_absolute_error: 0.132, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.15, root_relative_squared_error: 0.4999, run_cpu_time: 1.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.8837, kappa: 0.8701, kb_relative_information_score: 4945.5206, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8869, predictive_accuracy: 0.8831, prior_entropy: 3.3219, ram_hours: 0, recall: 0.8831, relative_absolute_error: 0.1312, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1495, root_relative_squared_error: 0.4982, run_cpu_time: 1.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.882, kappa: 0.8681, kb_relative_information_score: 4939.5621, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8854, predictive_accuracy: 0.8813, prior_entropy: 3.3219, ram_hours: 0, recall: 0.8813, relative_absolute_error: 0.132, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.15, root_relative_squared_error: 0.4999, run_cpu_time: 0.7354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9542, kappa: 0.9494, kb_relative_information_score: 5291.6621, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9547, predictive_accuracy: 0.9544, prior_entropy: 3.3219, ram_hours: 0, recall: 0.9544, relative_absolute_error: 0.0979, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0859, root_relative_squared_error: 0.2863, run_cpu_time: 109.4065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0177, kb_relative_information_score: 322.1926, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.0097, predictive_accuracy: 0.0986, prior_entropy: 3.3219, ram_hours: 0, recall: 0.0986, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4246, root_relative_squared_error: 1.4153, run_cpu_time: 0.1897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0177, kb_relative_information_score: 322.1926, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.0097, predictive_accuracy: 0.0986, prior_entropy: 3.3219, ram_hours: 0, recall: 0.0986, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4246, root_relative_squared_error: 1.4153, run_cpu_time: 0.0876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.6443, kappa: 0.6232, kb_relative_information_score: 3786.1232, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.6475, predictive_accuracy: 0.6609, prior_entropy: 3.3219, ram_hours: 0, recall: 0.6609, relative_absolute_error: 0.4095, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.7474, run_cpu_time: 0.2934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5505, f_measure: 0.1144, kappa: 0.1013, kb_relative_information_score: 873.3068, mean_absolute_error: 0.1615, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.1088, predictive_accuracy: 0.1923, prior_entropy: 3.3219, ram_hours: 0, recall: 0.1923, relative_absolute_error: 0.8974, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4019, root_relative_squared_error: 1.3397, run_cpu_time: 0.0733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.8821, kappa: 0.8681, kb_relative_information_score: 4961.4484, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8856, predictive_accuracy: 0.8813, prior_entropy: 3.3219, ram_hours: 0, recall: 0.8813, relative_absolute_error: 0.1394, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.4726, run_cpu_time: 6.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8852, f_measure: 0.6406, kappa: 0.5879, kb_relative_information_score: 3303.1246, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.6969, predictive_accuracy: 0.629, prior_entropy: 3.3219, ram_hours: 0, recall: 0.629, relative_absolute_error: 0.4625, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.226, root_relative_squared_error: 0.7535, run_cpu_time: 0.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.8941, kappa: 0.8824, kb_relative_information_score: 4797.6654, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8954, predictive_accuracy: 0.8941, prior_entropy: 3.3219, ram_hours: 0, recall: 0.8941, relative_absolute_error: 0.2369, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.4469, run_cpu_time: 7.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.6922, kappa: 0.6407, kb_relative_information_score: 3662.0159, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.751, predictive_accuracy: 0.6765, prior_entropy: 3.3219, ram_hours: 0, recall: 0.6765, relative_absolute_error: 0.3708, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.7113, run_cpu_time: 0.28,

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    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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