Task
Supervised Data Stream Classification on balance-scale

Supervised Data Stream Classification on balance-scale

Task 2179 Supervised Data Stream Classification balance-scale 25 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7695, f_measure: 0.5976, kappa: 0.3361, kb_relative_information_score: 284.4077, mean_absolute_error: 0.2754, mean_prior_absolute_error: 0.4444, number_of_instances: 625, precision: 0.6662, predictive_accuracy: 0.64, prior_entropy: 1.585, recall: 0.64, relative_absolute_error: 0.6196, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.87, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.7617, kappa: 0.6098, kb_relative_information_score: 277.6393, mean_absolute_error: 0.2891, mean_prior_absolute_error: 0.4444, number_of_instances: 625, precision: 0.739, predictive_accuracy: 0.7872, prior_entropy: 1.585, recall: 0.7872, relative_absolute_error: 0.6506, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.7814, run_cpu_time: 0.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2907, kb_relative_information_score: 163.6233, mean_absolute_error: 0.3595, mean_prior_absolute_error: 0.4444, number_of_instances: 625, precision: 0.2123, predictive_accuracy: 0.4608, prior_entropy: 1.585, recall: 0.4608, relative_absolute_error: 0.8088, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5996, root_relative_squared_error: 1.2718, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.715, f_measure: 0.29, kappa: -0.0037, kb_relative_information_score: 190.1342, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.4444, number_of_instances: 625, precision: 0.2122, predictive_accuracy: 0.4576, prior_entropy: 1.585, recall: 0.4576, relative_absolute_error: 0.7729, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.9304, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2907, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 625, precision: 0.2123, predictive_accuracy: 0.4608, prior_entropy: 1.585, recall: 0.4608, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2907, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 625, precision: 0.2123, predictive_accuracy: 0.4608, prior_entropy: 1.585, recall: 0.4608, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, run_cpu_time: 0.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7477, f_measure: 0.6954, kappa: 0.4653, kb_relative_information_score: 364.8767, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.4444, number_of_instances: 625, precision: 0.6948, predictive_accuracy: 0.696, prior_entropy: 1.585, recall: 0.696, relative_absolute_error: 0.456, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.955, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2907, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 625, precision: 0.2123, predictive_accuracy: 0.4608, prior_entropy: 1.585, recall: 0.4608, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2907, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 625, precision: 0.2123, predictive_accuracy: 0.4608, prior_entropy: 1.585, recall: 0.4608, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.602, f_measure: 0.3237, kappa: 0.1332, kb_relative_information_score: 39.0379, mean_absolute_error: 0.4565, mean_prior_absolute_error: 0.4444, number_of_instances: 625, precision: 0.3734, predictive_accuracy: 0.3152, prior_entropy: 1.585, recall: 0.3152, relative_absolute_error: 1.0272, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6757, root_relative_squared_error: 1.4333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2907, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 625, precision: 0.2123, predictive_accuracy: 0.4608, prior_entropy: 1.585, recall: 0.4608, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.7892, kappa: 0.6546, kb_relative_information_score: 360.6385, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.4444, number_of_instances: 625, precision: 0.791, predictive_accuracy: 0.8112, prior_entropy: 1.585, recall: 0.8112, relative_absolute_error: 0.5038, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.6912, run_cpu_time: 0.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2907, kb_relative_information_score: 163.6233, mean_absolute_error: 0.3595, mean_prior_absolute_error: 0.4444, number_of_instances: 625, precision: 0.2123, predictive_accuracy: 0.4608, prior_entropy: 1.585, recall: 0.4608, relative_absolute_error: 0.8088, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5996, root_relative_squared_error: 1.2718, run_cpu_time: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.7816, kappa: 0.6467, kb_relative_information_score: 355.9228, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.4444, number_of_instances: 625, precision: 0.7773, predictive_accuracy: 0.808, prior_entropy: 1.585, recall: 0.808, relative_absolute_error: 0.5143, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.332, root_relative_squared_error: 0.7043, run_cpu_time: 0.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.8323, kappa: 0.746, kb_relative_information_score: 423.7223, mean_absolute_error: 0.1702, mean_prior_absolute_error: 0.4444, number_of_instances: 625, precision: 0.8248, predictive_accuracy: 0.8624, prior_entropy: 1.585, recall: 0.8624, relative_absolute_error: 0.3829, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2739, root_relative_squared_error: 0.5811, run_cpu_time: 1.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.7948, kappa: 0.6584, kb_relative_information_score: 365.4993, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.4444, number_of_instances: 625, precision: 0.7879, predictive_accuracy: 0.8112, prior_entropy: 1.585, recall: 0.8112, relative_absolute_error: 0.4908, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.7059, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.7628, kappa: 0.616, kb_relative_information_score: 348.4282, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.4444, number_of_instances: 625, precision: 0.7605, predictive_accuracy: 0.792, prior_entropy: 1.585, ram_hours: 0, recall: 0.792, relative_absolute_error: 0.5269, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.7227, run_cpu_time: 0.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.7788, kappa: 0.6434, kb_relative_information_score: 351.8566, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.4444, number_of_instances: 625, precision: 0.7717, predictive_accuracy: 0.8064, prior_entropy: 1.585, ram_hours: 0, recall: 0.8064, relative_absolute_error: 0.5214, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3382, root_relative_squared_error: 0.7174, run_cpu_time: 0.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.0112, kappa: -0.0024, kb_relative_information_score: -164.9535, mean_absolute_error: 0.6155, mean_prior_absolute_error: 0.4444, number_of_instances: 625, precision: 0.006, predictive_accuracy: 0.0768, prior_entropy: 1.585, ram_hours: 0, recall: 0.0768, relative_absolute_error: 1.3848, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.7845, root_relative_squared_error: 1.6642, run_cpu_time: 0.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.7892, kappa: 0.6546, kb_relative_information_score: 360.6385, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.4444, number_of_instances: 625, precision: 0.791, predictive_accuracy: 0.8112, prior_entropy: 1.585, ram_hours: 0, recall: 0.8112, relative_absolute_error: 0.5038, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.6912, run_cpu_time: 0.0241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.7788, kappa: 0.6434, kb_relative_information_score: 351.8566, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.4444, number_of_instances: 625, precision: 0.7717, predictive_accuracy: 0.8064, prior_entropy: 1.585, ram_hours: 0, recall: 0.8064, relative_absolute_error: 0.5214, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3382, root_relative_squared_error: 0.7174, run_cpu_time: 0.0051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, f_measure: 0.7613, kappa: 0.6073, kb_relative_information_score: 263.5626, mean_absolute_error: 0.3007, mean_prior_absolute_error: 0.4444, number_of_instances: 625, precision: 0.7424, predictive_accuracy: 0.7856, prior_entropy: 1.585, ram_hours: 0, recall: 0.7856, relative_absolute_error: 0.6765, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.792, run_cpu_time: 0.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.8328, kappa: 0.7462, kb_relative_information_score: 423.9719, mean_absolute_error: 0.1699, mean_prior_absolute_error: 0.4444, number_of_instances: 625, precision: 0.8208, predictive_accuracy: 0.8624, prior_entropy: 1.585, ram_hours: 0, recall: 0.8624, relative_absolute_error: 0.3824, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.274, root_relative_squared_error: 0.5812, run_cpu_time: 0.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2907, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 625, precision: 0.2123, predictive_accuracy: 0.4608, prior_entropy: 1.585, recall: 0.4608, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.715, f_measure: 0.29, kappa: -0.0037, kb_relative_information_score: 190.1342, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.4444, number_of_instances: 625, precision: 0.2122, predictive_accuracy: 0.4576, prior_entropy: 1.585, recall: 0.4576, relative_absolute_error: 0.7729, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.9304,

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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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