Task
Supervised Data Stream Classification on mfeat-pixel

Supervised Data Stream Classification on mfeat-pixel

Task 2188 Supervised Data Stream Classification mfeat-pixel 25 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9495, kappa: 0.9439, kb_relative_information_score: 1896.8038, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.952, predictive_accuracy: 0.9495, prior_entropy: 3.3219, ram_hours: 0, recall: 0.9495, relative_absolute_error: 0.0559, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0984, root_relative_squared_error: 0.3279, run_cpu_time: 0.4357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4418, f_measure: 0.0275, kb_relative_information_score: -45.7575, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0159, predictive_accuracy: 0.1, prior_entropy: 3.3219, ram_hours: 0, recall: 0.1, relative_absolute_error: 1.0556, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3793, root_relative_squared_error: 1.2643, run_cpu_time: 0.5967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9485, kappa: 0.9428, kb_relative_information_score: 1892.2834, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.951, predictive_accuracy: 0.9485, prior_entropy: 3.3219, ram_hours: 0, recall: 0.9485, relative_absolute_error: 0.0582, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0999, root_relative_squared_error: 0.3329, run_cpu_time: 0.3696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4444, f_measure: 0.0182, kb_relative_information_score: -45.7575, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, ram_hours: 0, recall: 0.1, relative_absolute_error: 1.0556, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3808, root_relative_squared_error: 1.2693, run_cpu_time: 0.1468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9485, kappa: 0.9428, kb_relative_information_score: 1892.2834, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.951, predictive_accuracy: 0.9485, prior_entropy: 3.3219, ram_hours: 0, recall: 0.9485, relative_absolute_error: 0.0582, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0999, root_relative_squared_error: 0.3329, run_cpu_time: 0.3463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4444, f_measure: 0.0276, kb_relative_information_score: -45.7575, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.016, predictive_accuracy: 0.1, prior_entropy: 3.3219, ram_hours: 0, recall: 0.1, relative_absolute_error: 1.0556, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3808, root_relative_squared_error: 1.2693, run_cpu_time: 0.1545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9493, kappa: 0.9439, kb_relative_information_score: 1902.3639, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9518, predictive_accuracy: 0.9495, prior_entropy: 3.3219, ram_hours: 0, recall: 0.9495, relative_absolute_error: 0.0618, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.3045, run_cpu_time: 2.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.82, kappa: 0.8278, kb_relative_information_score: 1554.8007, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8169, predictive_accuracy: 0.845, prior_entropy: 3.3219, ram_hours: 0, recall: 0.845, relative_absolute_error: 0.322, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.6076, run_cpu_time: 2.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5536, f_measure: 0.1176, kappa: 0.1072, kb_relative_information_score: 319.4677, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.1074, predictive_accuracy: 0.1965, prior_entropy: 3.3219, recall: 0.1965, relative_absolute_error: 0.8928, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4009, root_relative_squared_error: 1.3362, run_cpu_time: 0.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.947, kappa: 0.9411, kb_relative_information_score: 1889.2973, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9495, predictive_accuracy: 0.947, prior_entropy: 3.3219, ram_hours: 0, recall: 0.947, relative_absolute_error: 0.0622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1002, root_relative_squared_error: 0.3342, run_cpu_time: 5.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9485, kappa: 0.9428, kb_relative_information_score: 1892.2834, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.951, predictive_accuracy: 0.9485, prior_entropy: 3.3219, recall: 0.9485, relative_absolute_error: 0.0582, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0999, root_relative_squared_error: 0.3329, run_cpu_time: 0.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9955, kappa: 0.995, kb_relative_information_score: 1990.5882, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9955, predictive_accuracy: 0.9955, prior_entropy: 3.3219, recall: 0.9955, relative_absolute_error: 0.005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.03, root_relative_squared_error: 0.1, run_cpu_time: 0.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4324, f_measure: 0.0262, kb_relative_information_score: -45.7575, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0151, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1.0556, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3717, root_relative_squared_error: 1.2391, run_cpu_time: 0.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2222, f_measure: 0.0265, kb_relative_information_score: -45.7575, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0153, predictive_accuracy: 0.1, prior_entropy: 3.3219, ram_hours: 0, recall: 0.1, relative_absolute_error: 1.0556, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3247, root_relative_squared_error: 1.0822, run_cpu_time: 2.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, f_measure: 0.8309, kappa: 0.8467, kb_relative_information_score: 1678.1401, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8178, predictive_accuracy: 0.862, prior_entropy: 3.3219, ram_hours: 0, recall: 0.862, relative_absolute_error: 0.2099, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1646, root_relative_squared_error: 0.5488, run_cpu_time: 3.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5456, f_measure: 0.0986, kappa: 0.0911, kb_relative_information_score: 289.1407, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0783, predictive_accuracy: 0.182, prior_entropy: 3.3219, recall: 0.182, relative_absolute_error: 0.9089, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4045, root_relative_squared_error: 1.3483, run_cpu_time: 0.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7774, f_measure: 0.0182, kb_relative_information_score: 387.9153, mean_absolute_error: 0.1585, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 0.8807, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0007, run_cpu_time: 0.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, kb_relative_information_score: 117.6365, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142, run_cpu_time: 0.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9509, kappa: 0.9456, kb_relative_information_score: 1907.2684, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9531, predictive_accuracy: 0.951, prior_entropy: 3.3219, ram_hours: 0, recall: 0.951, relative_absolute_error: 0.0594, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.088, root_relative_squared_error: 0.2933, run_cpu_time: 4.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, kb_relative_information_score: 117.6365, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, ram_hours: 0, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142, run_cpu_time: 0.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.0909, kappa: 0.11, kb_relative_information_score: 733.6761, mean_absolute_error: 0.1324, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0636, predictive_accuracy: 0.199, prior_entropy: 3.3219, ram_hours: 0, recall: 0.199, relative_absolute_error: 0.7353, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2836, root_relative_squared_error: 0.9452, run_cpu_time: 0.1597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4075, f_measure: 0.0287, kb_relative_information_score: -45.7575, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0168, predictive_accuracy: 0.1, prior_entropy: 3.3219, ram_hours: 0, recall: 0.1, relative_absolute_error: 1.0556, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3644, root_relative_squared_error: 1.2147, run_cpu_time: 0.1704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.8981, kappa: 0.8861, kb_relative_information_score: 1804.4622, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9044, predictive_accuracy: 0.8975, prior_entropy: 3.3219, ram_hours: 0.0001, recall: 0.8975, relative_absolute_error: 0.1468, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1192, root_relative_squared_error: 0.3972, run_cpu_time: 139.4868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.8751, kappa: 0.8611, kb_relative_information_score: 1783.5454, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8846, predictive_accuracy: 0.875, prior_entropy: 3.3219, ram_hours: 0, recall: 0.875, relative_absolute_error: 0.158, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1273, root_relative_squared_error: 0.4243, run_cpu_time: 7.4482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.813, kappa: 0.7983, kb_relative_information_score: 1638.351, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8368, predictive_accuracy: 0.8185, prior_entropy: 3.3219, ram_hours: 0, recall: 0.8185, relative_absolute_error: 0.2297, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.5607, run_cpu_time: 0.17,

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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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