Task
Supervised Data Stream Classification on tae

Supervised Data Stream Classification on tae

Task 2215 Supervised Data Stream Classification tae 25 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.159, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 151, precision: 0.1053, predictive_accuracy: 0.3245, prior_entropy: 1.585, recall: 0.3245, 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: 0.5, f_measure: 0.159, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 151, precision: 0.1053, predictive_accuracy: 0.3245, prior_entropy: 1.585, recall: 0.3245, 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: 0.6329, f_measure: 0.3171, kappa: 0.0711, kb_relative_information_score: 21.6386, mean_absolute_error: 0.4012, mean_prior_absolute_error: 0.4444, number_of_instances: 151, precision: 0.2717, predictive_accuracy: 0.3841, prior_entropy: 1.585, recall: 0.3841, relative_absolute_error: 0.9028, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4737, root_relative_squared_error: 1.0048, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.505, f_measure: 0.1791, kappa: 0.01, kb_relative_information_score: 14.093, mean_absolute_error: 0.4415, mean_prior_absolute_error: 0.4444, number_of_instances: 151, precision: 0.2734, predictive_accuracy: 0.3377, prior_entropy: 1.585, recall: 0.3377, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6645, root_relative_squared_error: 1.4095, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.159, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 151, precision: 0.1053, predictive_accuracy: 0.3245, prior_entropy: 1.585, recall: 0.3245, 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: 0.6578, f_measure: 0.4513, kappa: 0.1902, kb_relative_information_score: 29.373, mean_absolute_error: 0.3878, mean_prior_absolute_error: 0.4444, number_of_instances: 151, precision: 0.5004, predictive_accuracy: 0.4636, prior_entropy: 1.585, recall: 0.4636, relative_absolute_error: 0.8725, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4898, root_relative_squared_error: 1.039, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.159, kb_relative_information_score: 11.3548, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4444, number_of_instances: 151, precision: 0.1053, predictive_accuracy: 0.3245, prior_entropy: 1.585, recall: 0.3245, relative_absolute_error: 1.0132, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6711, root_relative_squared_error: 1.4235, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6635, f_measure: 0.4652, kappa: 0.2025, kb_relative_information_score: 31.2614, mean_absolute_error: 0.383, mean_prior_absolute_error: 0.4444, number_of_instances: 151, precision: 0.4756, predictive_accuracy: 0.4702, prior_entropy: 1.585, recall: 0.4702, relative_absolute_error: 0.8617, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4816, root_relative_squared_error: 1.0215, run_cpu_time: 0.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6622, f_measure: 0.4353, kappa: 0.1612, kb_relative_information_score: 27.1096, mean_absolute_error: 0.3928, mean_prior_absolute_error: 0.4444, number_of_instances: 151, precision: 0.4651, predictive_accuracy: 0.4437, prior_entropy: 1.585, recall: 0.4437, relative_absolute_error: 0.8838, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0008, run_cpu_time: 0.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.518, f_measure: 0.2781, kappa: 0.0669, kb_relative_information_score: 18.5974, mean_absolute_error: 0.4292, mean_prior_absolute_error: 0.4444, number_of_instances: 151, precision: 0.3436, predictive_accuracy: 0.3709, prior_entropy: 1.585, recall: 0.3709, relative_absolute_error: 0.9656, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6386, root_relative_squared_error: 1.3546, run_cpu_time: 0.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6422, f_measure: 0.4759, kappa: 0.2133, kb_relative_information_score: 29.4683, mean_absolute_error: 0.3908, mean_prior_absolute_error: 0.4444, number_of_instances: 151, precision: 0.4838, predictive_accuracy: 0.4768, prior_entropy: 1.585, recall: 0.4768, relative_absolute_error: 0.8792, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4895, root_relative_squared_error: 1.0384, run_cpu_time: 0.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.159, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 151, precision: 0.1053, predictive_accuracy: 0.3245, prior_entropy: 1.585, recall: 0.3245, 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: 0.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.159, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 151, precision: 0.1053, predictive_accuracy: 0.3245, prior_entropy: 1.585, recall: 0.3245, 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: 0.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5744, f_measure: 0.1896, kappa: -0.0268, kb_relative_information_score: 15.1326, mean_absolute_error: 0.4172, mean_prior_absolute_error: 0.4444, number_of_instances: 151, precision: 0.1339, predictive_accuracy: 0.3245, prior_entropy: 1.585, ram_hours: 0, recall: 0.3245, relative_absolute_error: 0.9387, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4807, root_relative_squared_error: 1.0196, run_cpu_time: 0.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6701, f_measure: 0.4878, kappa: 0.2412, kb_relative_information_score: 32.4644, mean_absolute_error: 0.3806, mean_prior_absolute_error: 0.4444, number_of_instances: 151, precision: 0.516, predictive_accuracy: 0.4967, prior_entropy: 1.585, ram_hours: 0, recall: 0.4967, relative_absolute_error: 0.8563, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4768, root_relative_squared_error: 1.0113, run_cpu_time: 0.0613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.619, f_measure: 0.3937, kappa: 0.239, kb_relative_information_score: 45.5816, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4444, number_of_instances: 151, precision: 0.4128, predictive_accuracy: 0.4901, prior_entropy: 1.585, ram_hours: 0, recall: 0.4901, relative_absolute_error: 0.7649, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.2369, run_cpu_time: 0.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5744, f_measure: 0.1896, kappa: -0.0268, kb_relative_information_score: 15.1326, mean_absolute_error: 0.4172, mean_prior_absolute_error: 0.4444, number_of_instances: 151, precision: 0.1339, predictive_accuracy: 0.3245, prior_entropy: 1.585, recall: 0.3245, relative_absolute_error: 0.9387, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4807, root_relative_squared_error: 1.0196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.518, f_measure: 0.2781, kappa: 0.0669, kb_relative_information_score: 18.5974, mean_absolute_error: 0.4292, mean_prior_absolute_error: 0.4444, number_of_instances: 151, precision: 0.3436, predictive_accuracy: 0.3709, prior_entropy: 1.585, ram_hours: 0, recall: 0.3709, relative_absolute_error: 0.9656, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6386, root_relative_squared_error: 1.3546, run_cpu_time: 0.0122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6576, f_measure: 0.4691, kappa: 0.203, kb_relative_information_score: 30.5734, mean_absolute_error: 0.3855, mean_prior_absolute_error: 0.4444, number_of_instances: 151, precision: 0.4796, predictive_accuracy: 0.4702, prior_entropy: 1.585, ram_hours: 0, recall: 0.4702, relative_absolute_error: 0.8673, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4817, root_relative_squared_error: 1.0218, run_cpu_time: 0.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.159, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 151, precision: 0.1053, predictive_accuracy: 0.3245, prior_entropy: 1.585, recall: 0.3245, 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: 0.9404, f_measure: 0.9205, kappa: 0.8808, kb_relative_information_score: 134.5712, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.4444, number_of_instances: 151, precision: 0.9205, predictive_accuracy: 0.9205, prior_entropy: 1.585, recall: 0.9205, relative_absolute_error: 0.1192, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2302, root_relative_squared_error: 0.4883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6676, f_measure: 0.4878, kappa: 0.2412, kb_relative_information_score: 32.4411, mean_absolute_error: 0.3807, mean_prior_absolute_error: 0.4444, number_of_instances: 151, precision: 0.516, predictive_accuracy: 0.4967, prior_entropy: 1.585, recall: 0.4967, relative_absolute_error: 0.8566, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.477, root_relative_squared_error: 1.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6576, f_measure: 0.4691, kappa: 0.203, kb_relative_information_score: 30.5734, mean_absolute_error: 0.3855, mean_prior_absolute_error: 0.4444, number_of_instances: 151, precision: 0.4796, predictive_accuracy: 0.4702, prior_entropy: 1.585, recall: 0.4702, relative_absolute_error: 0.8673, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4817, root_relative_squared_error: 1.0218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6622, f_measure: 0.4353, kappa: 0.1612, kb_relative_information_score: 27.1096, mean_absolute_error: 0.3928, mean_prior_absolute_error: 0.4444, number_of_instances: 151, precision: 0.4651, predictive_accuracy: 0.4437, prior_entropy: 1.585, ram_hours: 0, recall: 0.4437, relative_absolute_error: 0.8838, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0008, run_cpu_time: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.159, kb_relative_information_score: 11.3548, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4444, number_of_instances: 151, precision: 0.1053, predictive_accuracy: 0.3245, prior_entropy: 1.585, recall: 0.3245, relative_absolute_error: 1.0132, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6711, root_relative_squared_error: 1.4235, run_cpu_time: 0.01,

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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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    evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
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