Task
Supervised Data Stream Classification on liver-disorders

Supervised Data Stream Classification on liver-disorders

Task 2176 Supervised Data Stream Classification liver-disorders 24 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6964, f_measure: 0.6267, kappa: 0.2681, kb_relative_information_score: 47.7689, mean_absolute_error: 0.4374, mean_prior_absolute_error: 0.5, number_of_instances: 345, precision: 0.6553, predictive_accuracy: 0.6261, prior_entropy: 1, ram_hours: 0, recall: 0.6261, relative_absolute_error: 0.8748, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9591, run_cpu_time: 0.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2487, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 345, precision: 0.1766, predictive_accuracy: 0.4203, prior_entropy: 1, recall: 0.4203, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2487, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 345, precision: 0.1766, predictive_accuracy: 0.4203, prior_entropy: 1, recall: 0.4203, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5621, f_measure: 0.5646, kappa: 0.1009, kb_relative_information_score: 27.0751, mean_absolute_error: 0.4632, mean_prior_absolute_error: 0.5, number_of_instances: 345, precision: 0.5628, predictive_accuracy: 0.571, prior_entropy: 1, recall: 0.571, relative_absolute_error: 0.9265, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5118, root_relative_squared_error: 1.0235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6949, f_measure: 0.6314, kappa: 0.2583, kb_relative_information_score: 45.1917, mean_absolute_error: 0.4405, mean_prior_absolute_error: 0.5, number_of_instances: 345, precision: 0.642, predictive_accuracy: 0.629, prior_entropy: 1, ram_hours: 0, recall: 0.629, relative_absolute_error: 0.8811, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4806, root_relative_squared_error: 0.9612, run_cpu_time: 0.0195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8147, f_measure: 0.8201, kappa: 0.6305, kb_relative_information_score: 221, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.5, number_of_instances: 345, precision: 0.82, predictive_accuracy: 0.8203, prior_entropy: 1, ram_hours: 0, recall: 0.8203, relative_absolute_error: 0.3594, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.8478, run_cpu_time: 0.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2487, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 345, precision: 0.1766, predictive_accuracy: 0.4203, prior_entropy: 1, recall: 0.4203, 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: 0.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2487, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 345, precision: 0.1766, predictive_accuracy: 0.4203, prior_entropy: 1, recall: 0.4203, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5434, f_measure: 0.5429, kappa: 0.0568, kb_relative_information_score: 24.1606, mean_absolute_error: 0.4672, mean_prior_absolute_error: 0.5, number_of_instances: 345, precision: 0.5419, predictive_accuracy: 0.5565, prior_entropy: 1, recall: 0.5565, relative_absolute_error: 0.9344, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0017, run_cpu_time: 0.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8751, f_measure: 0.8783, kappa: 0.7502, kb_relative_information_score: 261, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.5, number_of_instances: 345, precision: 0.8783, predictive_accuracy: 0.8783, prior_entropy: 1, recall: 0.8783, relative_absolute_error: 0.2435, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.6978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6187, f_measure: 0.5658, kappa: 0.1652, kb_relative_information_score: 29.2713, mean_absolute_error: 0.4589, mean_prior_absolute_error: 0.5, number_of_instances: 345, precision: 0.6055, predictive_accuracy: 0.5681, prior_entropy: 1, recall: 0.5681, relative_absolute_error: 0.9178, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5259, root_relative_squared_error: 1.0517, run_cpu_time: 0.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6283, f_measure: 0.5027, kappa: 0.1043, kb_relative_information_score: 26.9903, mean_absolute_error: 0.4591, mean_prior_absolute_error: 0.5, number_of_instances: 345, precision: 0.5854, predictive_accuracy: 0.5217, prior_entropy: 1, recall: 0.5217, relative_absolute_error: 0.9183, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5751, root_relative_squared_error: 1.1502, run_cpu_time: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5742, f_measure: 0.5528, kappa: 0.0766, kb_relative_information_score: 20.3595, mean_absolute_error: 0.471, mean_prior_absolute_error: 0.5, number_of_instances: 345, precision: 0.5507, predictive_accuracy: 0.5594, prior_entropy: 1, ram_hours: 0, recall: 0.5594, relative_absolute_error: 0.9419, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5463, root_relative_squared_error: 1.0925, run_cpu_time: 0.0031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5742, f_measure: 0.5528, kappa: 0.0766, kb_relative_information_score: 20.3595, mean_absolute_error: 0.471, mean_prior_absolute_error: 0.5, number_of_instances: 345, precision: 0.5507, predictive_accuracy: 0.5594, prior_entropy: 1, recall: 0.5594, relative_absolute_error: 0.9419, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5463, root_relative_squared_error: 1.0925, run_cpu_time: 0.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5014, f_measure: 0.5139, kappa: 0.0375, kb_relative_information_score: 13.0734, mean_absolute_error: 0.4846, mean_prior_absolute_error: 0.5, number_of_instances: 345, precision: 0.5405, predictive_accuracy: 0.571, prior_entropy: 1, recall: 0.571, relative_absolute_error: 0.9691, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9969, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6208, f_measure: 0.5497, kappa: 0.141, kb_relative_information_score: 31.6164, mean_absolute_error: 0.4582, mean_prior_absolute_error: 0.5, number_of_instances: 345, precision: 0.5938, predictive_accuracy: 0.5536, prior_entropy: 1, recall: 0.5536, relative_absolute_error: 0.9164, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5119, root_relative_squared_error: 1.0238, run_cpu_time: 0.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2487, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 345, precision: 0.1766, predictive_accuracy: 0.4203, prior_entropy: 1, recall: 0.4203, 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: 0.8751, f_measure: 0.8783, kappa: 0.7502, kb_relative_information_score: 261, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.5, number_of_instances: 345, precision: 0.8783, predictive_accuracy: 0.8783, prior_entropy: 1, recall: 0.8783, relative_absolute_error: 0.2435, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.6978, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2487, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 345, precision: 0.1766, predictive_accuracy: 0.4203, prior_entropy: 1, recall: 0.4203, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7074, f_measure: 0.637, kappa: 0.2959, kb_relative_information_score: 62.5123, mean_absolute_error: 0.4151, mean_prior_absolute_error: 0.5, number_of_instances: 345, precision: 0.6748, predictive_accuracy: 0.6377, prior_entropy: 1, recall: 0.6377, relative_absolute_error: 0.8303, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4924, root_relative_squared_error: 0.9849, run_cpu_time: 0.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2487, kb_relative_information_score: -55, mean_absolute_error: 0.5797, mean_prior_absolute_error: 0.5, number_of_instances: 345, precision: 0.1766, predictive_accuracy: 0.4203, prior_entropy: 1, recall: 0.4203, relative_absolute_error: 1.1594, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7614, root_relative_squared_error: 1.5228, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6218, f_measure: 0.5699, kappa: 0.167, kb_relative_information_score: 31.7123, mean_absolute_error: 0.4581, mean_prior_absolute_error: 0.5, number_of_instances: 345, precision: 0.6046, predictive_accuracy: 0.571, prior_entropy: 1, recall: 0.571, relative_absolute_error: 0.9163, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5119, root_relative_squared_error: 1.0239, run_cpu_time: 0.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6187, f_measure: 0.5658, kappa: 0.1652, kb_relative_information_score: 29.2713, mean_absolute_error: 0.4589, mean_prior_absolute_error: 0.5, number_of_instances: 345, precision: 0.6055, predictive_accuracy: 0.5681, prior_entropy: 1, recall: 0.5681, relative_absolute_error: 0.9178, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5259, root_relative_squared_error: 1.0517, run_cpu_time: 0.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2487, kb_relative_information_score: -55, mean_absolute_error: 0.5797, mean_prior_absolute_error: 0.5, number_of_instances: 345, precision: 0.1766, predictive_accuracy: 0.4203, prior_entropy: 1, recall: 0.4203, relative_absolute_error: 1.1594, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7614, root_relative_squared_error: 1.5228,

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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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