Task
Supervised Data Stream Classification on yeast

Supervised Data Stream Classification on yeast

Task 2245 Supervised Data Stream Classification yeast 25 runs submitted
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25 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7712, f_measure: 0.4511, kappa: 0.2992, kb_relative_information_score: 766.3836, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.18, number_of_instances: 1484, precision: 0.5394, predictive_accuracy: 0.4811, prior_entropy: 3.3219, ram_hours: 0, recall: 0.4811, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2677, root_relative_squared_error: 0.8925, run_cpu_time: 0.2618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7772, f_measure: 0.4408, kappa: 0.2877, kb_relative_information_score: 742.3826, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.18, number_of_instances: 1484, precision: 0.5338, predictive_accuracy: 0.473, prior_entropy: 3.3219, ram_hours: 0, recall: 0.473, relative_absolute_error: 0.6041, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2786, root_relative_squared_error: 0.9288, run_cpu_time: 0.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.5493, kappa: 0.4235, kb_relative_information_score: 836.189, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.18, number_of_instances: 1484, precision: 0.5608, predictive_accuracy: 0.5613, prior_entropy: 3.3219, ram_hours: 0, recall: 0.5613, relative_absolute_error: 0.6058, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2431, root_relative_squared_error: 0.8103, run_cpu_time: 0.1814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7702, f_measure: 0.4332, kappa: 0.2817, kb_relative_information_score: 718.8067, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.18, number_of_instances: 1484, precision: 0.536, predictive_accuracy: 0.4683, prior_entropy: 3.3219, ram_hours: 0, recall: 0.4683, relative_absolute_error: 0.5984, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.9709, run_cpu_time: 0.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5085, f_measure: 0.198, kappa: -0.0134, kb_relative_information_score: 133.6712, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.18, number_of_instances: 1484, precision: 0.2153, predictive_accuracy: 0.2938, prior_entropy: 3.3219, ram_hours: 0, recall: 0.2938, relative_absolute_error: 0.9247, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3253, root_relative_squared_error: 1.0842, run_cpu_time: 0.0202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5243, f_measure: 0.1484, kb_relative_information_score: 161.9067, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.18, number_of_instances: 1484, precision: 0.0973, predictive_accuracy: 0.312, prior_entropy: 3.3219, ram_hours: 0, recall: 0.312, relative_absolute_error: 0.9045, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3196, root_relative_squared_error: 1.0654, run_cpu_time: 0.0275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1484, kb_relative_information_score: 416.2816, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.18, number_of_instances: 1484, precision: 0.0973, predictive_accuracy: 0.312, prior_entropy: 3.3219, recall: 0.312, relative_absolute_error: 0.7645, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3709, root_relative_squared_error: 1.2365, run_cpu_time: 0.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1484, kb_relative_information_score: 416.2816, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.18, number_of_instances: 1484, precision: 0.0973, predictive_accuracy: 0.312, prior_entropy: 3.3219, recall: 0.312, relative_absolute_error: 0.7645, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3709, root_relative_squared_error: 1.2365, run_cpu_time: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7732, f_measure: 0.4305, kappa: 0.2773, kb_relative_information_score: 720.181, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.18, number_of_instances: 1484, precision: 0.5442, predictive_accuracy: 0.4663, prior_entropy: 3.3219, recall: 0.4663, relative_absolute_error: 0.6018, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.9673, run_cpu_time: 0.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1297, kappa: -0, kb_relative_information_score: 380.7258, mean_absolute_error: 0.1422, mean_prior_absolute_error: 0.18, number_of_instances: 1484, precision: 0.0836, predictive_accuracy: 0.2891, prior_entropy: 3.3219, recall: 0.2891, relative_absolute_error: 0.7899, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3771, root_relative_squared_error: 1.2569, run_cpu_time: 0.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.5496, kappa: 0.4241, kb_relative_information_score: 836.1341, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.18, number_of_instances: 1484, precision: 0.5604, predictive_accuracy: 0.5613, prior_entropy: 3.3219, ram_hours: 0, recall: 0.5613, relative_absolute_error: 0.6062, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2431, root_relative_squared_error: 0.8103, run_cpu_time: 4.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.764, f_measure: 0.4796, kappa: 0.327, kb_relative_information_score: 781.3689, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.18, number_of_instances: 1484, precision: 0.5291, predictive_accuracy: 0.496, prior_entropy: 3.3219, recall: 0.496, relative_absolute_error: 0.6048, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2666, root_relative_squared_error: 0.8888, run_cpu_time: 0.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7574, f_measure: 0.4768, kappa: 0.3278, kb_relative_information_score: 776.1289, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.18, number_of_instances: 1484, precision: 0.5368, predictive_accuracy: 0.4987, prior_entropy: 3.3219, recall: 0.4987, relative_absolute_error: 0.6088, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.8962, run_cpu_time: 0.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5238, f_measure: 0.233, kappa: 0.0048, kb_relative_information_score: 488.2848, mean_absolute_error: 0.1549, mean_prior_absolute_error: 0.18, number_of_instances: 1484, precision: 0.243, predictive_accuracy: 0.3066, prior_entropy: 3.3219, recall: 0.3066, relative_absolute_error: 0.8607, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.9319, run_cpu_time: 0.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5457, f_measure: 0.2943, kappa: 0.1045, kb_relative_information_score: 120.6212, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.18, number_of_instances: 1484, precision: 0.4242, predictive_accuracy: 0.3652, prior_entropy: 3.3219, recall: 0.3652, relative_absolute_error: 0.9713, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.9785, run_cpu_time: 0.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7699, f_measure: 0.4316, kappa: 0.2802, kb_relative_information_score: 717.5109, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.18, number_of_instances: 1484, precision: 0.5343, predictive_accuracy: 0.467, prior_entropy: 3.3219, recall: 0.467, relative_absolute_error: 0.5996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2914, root_relative_squared_error: 0.9713, run_cpu_time: 0.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.4831, kappa: 0.3304, kb_relative_information_score: 799.5534, mean_absolute_error: 0.1069, mean_prior_absolute_error: 0.18, number_of_instances: 1484, precision: 0.5345, predictive_accuracy: 0.4987, prior_entropy: 3.3219, recall: 0.4987, relative_absolute_error: 0.5937, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2659, root_relative_squared_error: 0.8862, run_cpu_time: 0.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6274, f_measure: 0.3075, kappa: 0.1176, kb_relative_information_score: 263.8997, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.18, number_of_instances: 1484, precision: 0.4503, predictive_accuracy: 0.3693, prior_entropy: 3.3219, ram_hours: 0, recall: 0.3693, relative_absolute_error: 0.872, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.286, root_relative_squared_error: 0.9535, run_cpu_time: 0.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.5162, kappa: 0.3771, kb_relative_information_score: 733.1461, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.18, number_of_instances: 1484, precision: 0.5162, predictive_accuracy: 0.5162, prior_entropy: 3.3219, ram_hours: 0, recall: 0.5162, relative_absolute_error: 0.5376, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3111, root_relative_squared_error: 1.0369, run_cpu_time: 0.0099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6166, f_measure: 0.2259, kappa: 0.0478, kb_relative_information_score: 490.2318, mean_absolute_error: 0.1412, mean_prior_absolute_error: 0.18, number_of_instances: 1484, precision: 0.3101, predictive_accuracy: 0.3282, prior_entropy: 3.3219, ram_hours: 0, recall: 0.3282, relative_absolute_error: 0.7846, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.308, root_relative_squared_error: 1.0268, run_cpu_time: 0.0348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6117, f_measure: 0.3245, kappa: 0.1304, kb_relative_information_score: 272.0197, mean_absolute_error: 0.1561, mean_prior_absolute_error: 0.18, number_of_instances: 1484, precision: 0.451, predictive_accuracy: 0.378, prior_entropy: 3.3219, ram_hours: 0, recall: 0.378, relative_absolute_error: 0.8671, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.9464, run_cpu_time: 0.0673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7699, f_measure: 0.4316, kappa: 0.2802, kb_relative_information_score: 717.5109, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.18, number_of_instances: 1484, precision: 0.5343, predictive_accuracy: 0.467, prior_entropy: 3.3219, ram_hours: 0, recall: 0.467, relative_absolute_error: 0.5996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2914, root_relative_squared_error: 0.9713, run_cpu_time: 0.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.606, f_measure: 0.3213, kappa: 0.1222, kb_relative_information_score: 256.8431, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.18, number_of_instances: 1484, precision: 0.4314, predictive_accuracy: 0.372, prior_entropy: 3.3219, ram_hours: 0, recall: 0.372, relative_absolute_error: 0.8636, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2912, root_relative_squared_error: 0.9707, run_cpu_time: 0.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5959, f_measure: 0.3331, kappa: 0.1892, kb_relative_information_score: 598.2434, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.18, number_of_instances: 1484, precision: 0.2945, predictive_accuracy: 0.4292, prior_entropy: 3.3219, ram_hours: 0, recall: 0.4292, relative_absolute_error: 0.6342, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3379, root_relative_squared_error: 1.1262, run_cpu_time: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5238, f_measure: 0.233, kappa: 0.0048, kb_relative_information_score: 488.2848, mean_absolute_error: 0.1549, mean_prior_absolute_error: 0.18, number_of_instances: 1484, precision: 0.243, predictive_accuracy: 0.3066, prior_entropy: 3.3219, ram_hours: 0, recall: 0.3066, relative_absolute_error: 0.8607, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.9319, run_cpu_time: 0.02,

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    Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

    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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