Task
Supervised Data Stream Classification on BNG(anneal.ORIG,5000,5)

Supervised Data Stream Classification on BNG(anneal.ORIG,5000,5)

Task 7342 Supervised Data Stream Classification BNG(anneal.ORIG,5000,5) 28 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9287, kappa: 0.8227, kb_relative_information_score: 890814.2335, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9277, predictive_accuracy: 0.9305, prior_entropy: 2.585, recall: 0.9305, relative_absolute_error: 0.1582, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1371, root_relative_squared_error: 0.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.0221, kappa: -0.0001, kb_relative_information_score: 18488.5988, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0123, predictive_accuracy: 0.109, prior_entropy: 2.585, recall: 0.109, relative_absolute_error: 1.0694, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5437, root_relative_squared_error: 1.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9212, kappa: 0.8063, kb_relative_information_score: 891536.5339, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9199, predictive_accuracy: 0.9242, prior_entropy: 2.585, recall: 0.9242, relative_absolute_error: 0.1536, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.14, root_relative_squared_error: 0.3757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.9021, kappa: 0.7544, kb_relative_information_score: 786089.9236, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9006, predictive_accuracy: 0.9053, prior_entropy: 2.585, recall: 0.9053, relative_absolute_error: 0.3378, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, f_measure: 0.0067, kappa: 0, kb_relative_information_score: -86844.8175, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.639, predictive_accuracy: 0.0126, prior_entropy: 2.585, recall: 0.0126, relative_absolute_error: 1.1835, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5725, root_relative_squared_error: 1.5362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7355, f_measure: 0.7772, kappa: 0.4236, kb_relative_information_score: 798528.156, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7769, predictive_accuracy: 0.8134, prior_entropy: 2.585, recall: 0.8134, relative_absolute_error: 0.2258, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.239, root_relative_squared_error: 0.6413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.022, kappa: -0.0001, kb_relative_information_score: 18390.8497, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0123, predictive_accuracy: 0.1091, prior_entropy: 2.585, recall: 0.1091, relative_absolute_error: 1.0691, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.545, root_relative_squared_error: 1.4623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.022, kappa: -0.0001, kb_relative_information_score: 18572.4032, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0123, predictive_accuracy: 0.1092, prior_entropy: 2.585, recall: 0.1092, relative_absolute_error: 1.0692, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5441, root_relative_squared_error: 1.4599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9242, kappa: 0.8132, kb_relative_information_score: 895847.6399, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9231, predictive_accuracy: 0.9279, prior_entropy: 2.585, recall: 0.9279, relative_absolute_error: 0.15, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.3672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.022, kappa: -0.0001, kb_relative_information_score: 18127.4674, mean_absolute_error: 0.2971, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0123, predictive_accuracy: 0.1088, prior_entropy: 2.585, recall: 0.1088, relative_absolute_error: 1.0695, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5448, root_relative_squared_error: 1.4619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.8524, kappa: 0.6263, kb_relative_information_score: 814816.4077, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8514, predictive_accuracy: 0.8552, prior_entropy: 2.585, recall: 0.8552, relative_absolute_error: 0.2417, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.197, root_relative_squared_error: 0.5286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.7215, kappa: 0.3273, kb_relative_information_score: 669701.0369, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7369, predictive_accuracy: 0.7088, prior_entropy: 2.585, recall: 0.7088, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.7103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.9123, kappa: 0.7852, kb_relative_information_score: 880805.9458, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.911, predictive_accuracy: 0.9173, prior_entropy: 2.585, recall: 0.9173, relative_absolute_error: 0.1692, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.3907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.9105, kappa: 0.7764, kb_relative_information_score: 888063.2622, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9122, predictive_accuracy: 0.909, prior_entropy: 2.585, recall: 0.909, relative_absolute_error: 0.1494, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.152, root_relative_squared_error: 0.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.8478, kappa: 0.6105, kb_relative_information_score: 808629.8885, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8457, predictive_accuracy: 0.8538, prior_entropy: 2.585, recall: 0.8538, relative_absolute_error: 0.2509, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.5325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.9062, kappa: 0.7639, kb_relative_information_score: 881085.5606, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9058, predictive_accuracy: 0.9078, prior_entropy: 2.585, recall: 0.9078, relative_absolute_error: 0.1549, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.16, root_relative_squared_error: 0.4293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.5966, kappa: -0.0008, kb_relative_information_score: 555599.1671, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.5966, predictive_accuracy: 0.5966, prior_entropy: 2.585, recall: 0.5966, relative_absolute_error: 0.484, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.9839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7712, f_measure: 0.7469, kappa: 0.3147, kb_relative_information_score: 704779.459, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7439, predictive_accuracy: 0.7838, prior_entropy: 2.585, recall: 0.7838, relative_absolute_error: 0.3926, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.6356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.6559, kappa: -0, kb_relative_information_score: 630195.6754, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.5771, predictive_accuracy: 0.7597, prior_entropy: 2.585, recall: 0.7597, relative_absolute_error: 0.4838, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.6954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.9227, kappa: 0.8071, kb_relative_information_score: 372727.9239, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9224, predictive_accuracy: 0.9239, prior_entropy: 2.585, recall: 0.9239, relative_absolute_error: 0.8089, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.314, root_relative_squared_error: 0.8426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.8768, kappa: 0.6872, kb_relative_information_score: 869179.3555, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8894, predictive_accuracy: 0.8922, prior_entropy: 2.585, recall: 0.8922, relative_absolute_error: 0.1753, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.4364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.7508, kappa: 0.3991, kb_relative_information_score: 725189.2444, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7346, predictive_accuracy: 0.7957, prior_entropy: 2.585, recall: 0.7957, relative_absolute_error: 0.3611, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.8663, kappa: 0.6598, kb_relative_information_score: 825193.2808, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8643, predictive_accuracy: 0.8723, prior_entropy: 2.585, recall: 0.8723, relative_absolute_error: 0.2445, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.4813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.877, kappa: 0.6882, kb_relative_information_score: 869403.9557, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8896, predictive_accuracy: 0.8924, prior_entropy: 2.585, recall: 0.8924, relative_absolute_error: 0.1749, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.4363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9319, kappa: 0.8305, kb_relative_information_score: 902249.2904, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9317, predictive_accuracy: 0.9346, prior_entropy: 2.585, recall: 0.9346, relative_absolute_error: 0.1434, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1293, root_relative_squared_error: 0.3471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.8524, kappa: 0.6263, kb_relative_information_score: 814816.4077, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8514, predictive_accuracy: 0.8552, prior_entropy: 2.585, recall: 0.8552, relative_absolute_error: 0.2417, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.197, root_relative_squared_error: 0.5286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.0221, kappa: -0.0001, kb_relative_information_score: 18191.4319, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0123, predictive_accuracy: 0.1089, prior_entropy: 2.585, recall: 0.1089, relative_absolute_error: 1.0694, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.545, root_relative_squared_error: 1.4624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8032, f_measure: 0.7209, kappa: 0.326, kb_relative_information_score: 669278.7537, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7364, predictive_accuracy: 0.7081, prior_entropy: 2.585, recall: 0.7081, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2653, root_relative_squared_error: 0.7119,

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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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