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Supervised Data Stream Classification on BNG(audiology,1000,5)

Supervised Data Stream Classification on BNG(audiology,1000,5)

Task 7366 Supervised Data Stream Classification BNG(audiology,1000,5) 33 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.7969, kappa: 0.7818, kb_relative_information_score: 809692.6777, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.0799, number_of_instances: 1000000, precision: 0.8026, predictive_accuracy: 0.8128, prior_entropy: 4.585, recall: 0.8128, relative_absolute_error: 0.3294, root_mean_prior_squared_error: 0.1998, root_mean_squared_error: 0.1083, root_relative_squared_error: 0.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.7368, kappa: 0.7082, kb_relative_information_score: 202783.619, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.0799, number_of_instances: 1000000, precision: 0.7316, predictive_accuracy: 0.7493, prior_entropy: 4.585, recall: 0.7493, relative_absolute_error: 0.9604, root_mean_prior_squared_error: 0.1998, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.9677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.7368, kappa: 0.7082, kb_relative_information_score: 202783.619, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.0799, number_of_instances: 1000000, precision: 0.7316, predictive_accuracy: 0.7493, prior_entropy: 4.585, recall: 0.7493, relative_absolute_error: 0.9604, root_mean_prior_squared_error: 0.1998, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.9677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.8323, kappa: 0.8132, kb_relative_information_score: 839840.4356, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.0799, number_of_instances: 1000000, precision: 0.8302, predictive_accuracy: 0.839, prior_entropy: 4.585, recall: 0.839, relative_absolute_error: 0.2703, root_mean_prior_squared_error: 0.1998, root_mean_squared_error: 0.0997, root_relative_squared_error: 0.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.686, kappa: 0.6563, kb_relative_information_score: 685698.1756, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.0799, number_of_instances: 1000000, precision: 0.6815, predictive_accuracy: 0.7074, prior_entropy: 4.585, recall: 0.7074, relative_absolute_error: 0.5192, root_mean_prior_squared_error: 0.1998, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.6783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.8323, kappa: 0.8132, kb_relative_information_score: 839840.4356, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.0799, number_of_instances: 1000000, precision: 0.8302, predictive_accuracy: 0.839, prior_entropy: 4.585, recall: 0.839, relative_absolute_error: 0.2703, root_mean_prior_squared_error: 0.1998, root_mean_squared_error: 0.0997, root_relative_squared_error: 0.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.8323, kappa: 0.8132, kb_relative_information_score: 839840.4356, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.0799, number_of_instances: 1000000, precision: 0.8302, predictive_accuracy: 0.839, prior_entropy: 4.585, recall: 0.839, relative_absolute_error: 0.2703, root_mean_prior_squared_error: 0.1998, root_mean_squared_error: 0.0997, root_relative_squared_error: 0.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.7368, kappa: 0.7082, kb_relative_information_score: 202783.619, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.0799, number_of_instances: 1000000, precision: 0.7316, predictive_accuracy: 0.7493, prior_entropy: 4.585, recall: 0.7493, relative_absolute_error: 0.9604, root_mean_prior_squared_error: 0.1998, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.9677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.6035, kappa: 0.5474, kb_relative_information_score: 634321.303, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.0799, number_of_instances: 1000000, precision: 0.6036, predictive_accuracy: 0.6108, prior_entropy: 4.585, recall: 0.6108, relative_absolute_error: 0.5076, root_mean_prior_squared_error: 0.1998, root_mean_squared_error: 0.1509, root_relative_squared_error: 0.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.8512, kappa: 0.8324, kb_relative_information_score: 866972.7202, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.0799, number_of_instances: 1000000, precision: 0.8497, predictive_accuracy: 0.8552, prior_entropy: 4.585, recall: 0.8552, relative_absolute_error: 0.2209, root_mean_prior_squared_error: 0.1998, root_mean_squared_error: 0.0936, root_relative_squared_error: 0.4687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.8512, kappa: 0.8324, kb_relative_information_score: 866972.7202, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.0799, number_of_instances: 1000000, precision: 0.8497, predictive_accuracy: 0.8552, prior_entropy: 4.585, recall: 0.8552, relative_absolute_error: 0.2209, root_mean_prior_squared_error: 0.1998, root_mean_squared_error: 0.0936, root_relative_squared_error: 0.4687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0001, kb_relative_information_score: -7183.6846, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.0799, number_of_instances: 1000000, precision: 0, predictive_accuracy: 0.0061, prior_entropy: 4.585, recall: 0.0061, relative_absolute_error: 1.0371, root_mean_prior_squared_error: 0.1998, root_mean_squared_error: 0.2878, root_relative_squared_error: 1.4402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.6548, kappa: 0.6083, kb_relative_information_score: 655094.6564, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.0799, number_of_instances: 1000000, precision: 0.6522, predictive_accuracy: 0.6647, prior_entropy: 4.585, recall: 0.6647, relative_absolute_error: 0.5489, root_mean_prior_squared_error: 0.1998, root_mean_squared_error: 0.1401, root_relative_squared_error: 0.7011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.5204, kappa: 0.4826, kb_relative_information_score: 569697.3609, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.0799, number_of_instances: 1000000, precision: 0.5058, predictive_accuracy: 0.5667, prior_entropy: 4.585, recall: 0.5667, relative_absolute_error: 0.6222, root_mean_prior_squared_error: 0.1998, root_mean_squared_error: 0.1551, root_relative_squared_error: 0.7762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0001, kb_relative_information_score: -7183.6846, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.0799, number_of_instances: 1000000, precision: 0, predictive_accuracy: 0.0061, prior_entropy: 4.585, recall: 0.0061, relative_absolute_error: 1.0371, root_mean_prior_squared_error: 0.1998, root_mean_squared_error: 0.2878, root_relative_squared_error: 1.4402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.5644, kappa: 0.5048, kb_relative_information_score: 596596.7469, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.0799, number_of_instances: 1000000, precision: 0.5609, predictive_accuracy: 0.5761, prior_entropy: 4.585, recall: 0.5761, relative_absolute_error: 0.5476, root_mean_prior_squared_error: 0.1998, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.7833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.0939, kappa: -0, kb_relative_information_score: 302698.7312, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.0799, number_of_instances: 1000000, precision: 0.0754, predictive_accuracy: 0.2414, prior_entropy: 4.585, recall: 0.2414, relative_absolute_error: 0.9063, root_mean_prior_squared_error: 0.1998, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0001, kb_relative_information_score: -7183.6846, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.0799, number_of_instances: 1000000, precision: 0, predictive_accuracy: 0.0061, prior_entropy: 4.585, recall: 0.0061, relative_absolute_error: 1.0371, root_mean_prior_squared_error: 0.1998, root_mean_squared_error: 0.2878, root_relative_squared_error: 1.4402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.0001, kb_relative_information_score: -7105.5679, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.0799, number_of_instances: 1000000, precision: 0, predictive_accuracy: 0.0061, prior_entropy: 4.585, recall: 0.0061, relative_absolute_error: 1.0371, root_mean_prior_squared_error: 0.1998, root_mean_squared_error: 0.286, root_relative_squared_error: 1.4315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0001, kb_relative_information_score: -7183.6846, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.0799, number_of_instances: 1000000, precision: 0, predictive_accuracy: 0.0061, prior_entropy: 4.585, recall: 0.0061, relative_absolute_error: 1.0371, root_mean_prior_squared_error: 0.1998, root_mean_squared_error: 0.2878, root_relative_squared_error: 1.4402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.6203, kappa: 0.5711, kb_relative_information_score: 628014.9952, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.0799, number_of_instances: 1000000, precision: 0.6171, predictive_accuracy: 0.6345, prior_entropy: 4.585, recall: 0.6345, relative_absolute_error: 0.5632, root_mean_prior_squared_error: 0.1998, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.7303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.6955, kappa: 0.6496, kb_relative_information_score: 705259.7527, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.0799, number_of_instances: 1000000, precision: 0.7178, predictive_accuracy: 0.6971, prior_entropy: 4.585, recall: 0.6971, relative_absolute_error: 0.3341, root_mean_prior_squared_error: 0.1998, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.7503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8849, f_measure: 0.5285, kappa: 0.4675, kb_relative_information_score: 570329.6985, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.0799, number_of_instances: 1000000, precision: 0.5281, predictive_accuracy: 0.5491, prior_entropy: 4.585, recall: 0.5491, relative_absolute_error: 0.5822, root_mean_prior_squared_error: 0.1998, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.8012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7688, f_measure: 0.3265, kappa: 0.2363, kb_relative_information_score: 410828.7322, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.0799, number_of_instances: 1000000, precision: 0.3181, predictive_accuracy: 0.3671, prior_entropy: 4.585, recall: 0.3671, relative_absolute_error: 0.7968, root_mean_prior_squared_error: 0.1998, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.9021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.5802, kappa: 0.5759, kb_relative_information_score: 660075.9119, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.0799, number_of_instances: 1000000, precision: 0.6588, predictive_accuracy: 0.651, prior_entropy: 4.585, recall: 0.651, relative_absolute_error: 0.5286, root_mean_prior_squared_error: 0.1998, root_mean_squared_error: 0.1417, root_relative_squared_error: 0.7092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.5823, kappa: 0.5778, kb_relative_information_score: 659857.6004, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.0799, number_of_instances: 1000000, precision: 0.6589, predictive_accuracy: 0.6524, prior_entropy: 4.585, recall: 0.6524, relative_absolute_error: 0.529, root_mean_prior_squared_error: 0.1998, root_mean_squared_error: 0.1417, root_relative_squared_error: 0.7091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.6638, kappa: 0.634, kb_relative_information_score: 673155.9444, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.0799, number_of_instances: 1000000, precision: 0.6538, predictive_accuracy: 0.6877, prior_entropy: 4.585, recall: 0.6877, relative_absolute_error: 0.5118, root_mean_prior_squared_error: 0.1998, root_mean_squared_error: 0.1371, root_relative_squared_error: 0.6859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7481, f_measure: 0.267, kappa: 0.2143, kb_relative_information_score: 400691.3692, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.0799, number_of_instances: 1000000, precision: 0.2561, predictive_accuracy: 0.3774, prior_entropy: 4.585, recall: 0.3774, relative_absolute_error: 0.8185, root_mean_prior_squared_error: 0.1998, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.9062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.5687, kappa: 0.4987, kb_relative_information_score: 596080.5156, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.0799, number_of_instances: 1000000, precision: 0.578, predictive_accuracy: 0.5621, prior_entropy: 4.585, recall: 0.5621, relative_absolute_error: 0.5553, root_mean_prior_squared_error: 0.1998, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.7784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6231, f_measure: 0.2477, kappa: 0.2248, kb_relative_information_score: 394724.877, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.0799, number_of_instances: 1000000, precision: 0.1988, predictive_accuracy: 0.3966, prior_entropy: 4.585, recall: 0.3966, relative_absolute_error: 0.6305, root_mean_prior_squared_error: 0.1998, root_mean_squared_error: 0.2213, root_relative_squared_error: 1.1072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.5644, kappa: 0.5048, kb_relative_information_score: 596596.7469, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.0799, number_of_instances: 1000000, precision: 0.5609, predictive_accuracy: 0.5761, prior_entropy: 4.585, recall: 0.5761, relative_absolute_error: 0.5476, root_mean_prior_squared_error: 0.1998, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.7833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.1311, kappa: -0.0004, kb_relative_information_score: 119441.6379, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.0799, number_of_instances: 1000000, precision: 0.1311, predictive_accuracy: 0.1311, prior_entropy: 4.585, recall: 0.1311, relative_absolute_error: 0.9067, root_mean_prior_squared_error: 0.1998, root_mean_squared_error: 0.2691, root_relative_squared_error: 1.3466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.5686, kappa: 0.4985, kb_relative_information_score: 596495.9205, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.0799, number_of_instances: 1000000, precision: 0.5779, predictive_accuracy: 0.562, prior_entropy: 4.585, recall: 0.562, relative_absolute_error: 0.5542, root_mean_prior_squared_error: 0.1998, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.7786,

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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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