Task
Supervised Data Stream Classification on diabetes

Supervised Data Stream Classification on diabetes

Task 2205 Supervised Data Stream Classification diabetes 25 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 1, recall: 0.651, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7824, f_measure: 0.7269, kappa: 0.3945, kb_relative_information_score: 314.2408, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.5, number_of_instances: 768, precision: 0.7254, predictive_accuracy: 0.7292, prior_entropy: 1, recall: 0.7292, relative_absolute_error: 0.6056, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4433, root_relative_squared_error: 0.8866, run_cpu_time: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7602, f_measure: 0.6809, kappa: 0.2809, kb_relative_information_score: 238.0375, mean_absolute_error: 0.3548, mean_prior_absolute_error: 0.5, number_of_instances: 768, precision: 0.6875, predictive_accuracy: 0.7018, prior_entropy: 1, recall: 0.7018, relative_absolute_error: 0.7096, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4321, root_relative_squared_error: 0.8642, run_cpu_time: 0.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.525, f_measure: 0.5463, kappa: 0.018, kb_relative_information_score: 75.8105, mean_absolute_error: 0.4606, mean_prior_absolute_error: 0.5, number_of_instances: 768, precision: 0.5658, predictive_accuracy: 0.638, prior_entropy: 1, recall: 0.638, relative_absolute_error: 0.9212, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4825, root_relative_squared_error: 0.965, run_cpu_time: 0.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 1, recall: 0.651, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.682, f_measure: 0.6468, kappa: 0.2044, kb_relative_information_score: 155.7389, mean_absolute_error: 0.4101, mean_prior_absolute_error: 0.5, number_of_instances: 768, precision: 0.6464, predictive_accuracy: 0.6667, prior_entropy: 1, ram_hours: 0, recall: 0.6667, relative_absolute_error: 0.8202, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4619, root_relative_squared_error: 0.9239, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5212, f_measure: 0.5636, kappa: 0.0421, kb_relative_information_score: 96, mean_absolute_error: 0.4375, mean_prior_absolute_error: 0.5, number_of_instances: 768, precision: 0.5648, predictive_accuracy: 0.5625, prior_entropy: 1, recall: 0.5625, relative_absolute_error: 0.875, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6614, root_relative_squared_error: 1.3229, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7744, f_measure: 0.7251, kappa: 0.39, kb_relative_information_score: 306.6352, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.5, number_of_instances: 768, precision: 0.7235, predictive_accuracy: 0.7279, prior_entropy: 1, recall: 0.7279, relative_absolute_error: 0.6156, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.8993, run_cpu_time: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7824, f_measure: 0.7269, kappa: 0.3945, kb_relative_information_score: 314.2408, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.5, number_of_instances: 768, precision: 0.7254, predictive_accuracy: 0.7292, prior_entropy: 1, recall: 0.7292, relative_absolute_error: 0.6056, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4433, root_relative_squared_error: 0.8866, run_cpu_time: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 1, recall: 0.651, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7624, f_measure: 0.6871, kappa: 0.295, kb_relative_information_score: 238.2243, mean_absolute_error: 0.3547, mean_prior_absolute_error: 0.5, number_of_instances: 768, precision: 0.6923, predictive_accuracy: 0.7057, prior_entropy: 1, recall: 0.7057, relative_absolute_error: 0.7095, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.8637, run_cpu_time: 1.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5042, f_measure: 0.5495, kappa: 0.0085, kb_relative_information_score: 76, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.5, number_of_instances: 768, precision: 0.5495, predictive_accuracy: 0.5495, prior_entropy: 1, recall: 0.5495, relative_absolute_error: 0.901, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6712, root_relative_squared_error: 1.3424, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7824, f_measure: 0.7269, kappa: 0.3945, kb_relative_information_score: 314.2408, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.5, number_of_instances: 768, precision: 0.7254, predictive_accuracy: 0.7292, prior_entropy: 1, recall: 0.7292, relative_absolute_error: 0.6056, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4433, root_relative_squared_error: 0.8866, run_cpu_time: 0.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 1, recall: 0.651, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, run_cpu_time: 0.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 1, recall: 0.651, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5478, kappa: 0.0259, kb_relative_information_score: 72.812, mean_absolute_error: 0.4632, mean_prior_absolute_error: 0.5, number_of_instances: 768, precision: 0.5778, predictive_accuracy: 0.6432, prior_entropy: 1, recall: 0.6432, relative_absolute_error: 0.9264, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4807, root_relative_squared_error: 0.9613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 1, recall: 0.651, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, run_cpu_time: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, f_measure: 0.7161, kappa: 0.3753, kb_relative_information_score: 294.6818, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.5, number_of_instances: 768, precision: 0.7161, predictive_accuracy: 0.7161, prior_entropy: 1, recall: 0.7161, relative_absolute_error: 0.6318, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.8777, run_cpu_time: 0.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5051, f_measure: 0.5499, kappa: 0.0102, kb_relative_information_score: 76, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.5, number_of_instances: 768, precision: 0.5503, predictive_accuracy: 0.5495, prior_entropy: 1, recall: 0.5495, relative_absolute_error: 0.901, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6712, root_relative_squared_error: 1.3424, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7345, f_measure: 0.6887, kappa: 0.312, kb_relative_information_score: 141.5607, mean_absolute_error: 0.423, mean_prior_absolute_error: 0.5, number_of_instances: 768, precision: 0.6875, predictive_accuracy: 0.6901, prior_entropy: 1, recall: 0.6901, relative_absolute_error: 0.8459, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4532, root_relative_squared_error: 0.9063, run_cpu_time: 0.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: 232, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.5, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 1, recall: 0.651, relative_absolute_error: 0.6979, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.1815, run_cpu_time: 0.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7759, f_measure: 0.7258, kappa: 0.3874, kb_relative_information_score: 285.1635, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.5, number_of_instances: 768, precision: 0.7244, predictive_accuracy: 0.7318, prior_entropy: 1, recall: 0.7318, relative_absolute_error: 0.6511, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.435, root_relative_squared_error: 0.8699, run_cpu_time: 0.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, f_measure: 0.7161, kappa: 0.3753, kb_relative_information_score: 294.6818, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.5, number_of_instances: 768, precision: 0.7161, predictive_accuracy: 0.7161, prior_entropy: 1, ram_hours: 0, recall: 0.7161, relative_absolute_error: 0.6318, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.8777, run_cpu_time: 0.0394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: 232, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.5, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 1, ram_hours: 0, recall: 0.651, relative_absolute_error: 0.6979, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.1815, run_cpu_time: 0.0036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7668, f_measure: 0.7216, kappa: 0.3829, kb_relative_information_score: 142.5687, mean_absolute_error: 0.4245, mean_prior_absolute_error: 0.5, number_of_instances: 768, precision: 0.7201, predictive_accuracy: 0.724, prior_entropy: 1, ram_hours: 0, recall: 0.724, relative_absolute_error: 0.849, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.8976, run_cpu_time: 0.05,

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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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