Task
Supervised Data Stream Classification on BNG(letter,1000,1)

Supervised Data Stream Classification on BNG(letter,1000,1)

Task 7356 Supervised Data Stream Classification BNG(letter,1000,1) 31 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.3795, kappa: 0.3607, kb_relative_information_score: 425340.4765, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.3841, predictive_accuracy: 0.3853, prior_entropy: 4.7004, recall: 0.3853, relative_absolute_error: 0.7581, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.8985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0028, kappa: 0, kb_relative_information_score: 26820.2857, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.0211, predictive_accuracy: 0.0384, prior_entropy: 4.7004, recall: 0.0384, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.4664, kappa: 0.4468, kb_relative_information_score: 508150.5531, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.4693, predictive_accuracy: 0.4681, prior_entropy: 4.7004, recall: 0.4681, relative_absolute_error: 0.6497, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.8515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7828, f_measure: 0.324, kappa: 0.2937, kb_relative_information_score: 378199.2405, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.3516, predictive_accuracy: 0.3209, prior_entropy: 4.7004, recall: 0.3209, relative_absolute_error: 0.8412, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.9328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.0038, kappa: 0.0004, kb_relative_information_score: 28085.4016, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.3281, predictive_accuracy: 0.0396, prior_entropy: 4.7004, recall: 0.0396, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2718, root_relative_squared_error: 1.4132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6418, f_measure: 0.0675, kappa: 0.0384, kb_relative_information_score: 81704.2037, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.0723, predictive_accuracy: 0.0759, prior_entropy: 4.7004, recall: 0.0759, relative_absolute_error: 0.9881, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.9943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.308, kappa: 0.2805, kb_relative_information_score: 356375.6249, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.3094, predictive_accuracy: 0.3082, prior_entropy: 4.7004, recall: 0.3082, relative_absolute_error: 0.8152, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.0049, kappa: -0, kb_relative_information_score: 3697.2466, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.0104, predictive_accuracy: 0.0407, prior_entropy: 4.7004, recall: 0.0407, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.0045, kappa: -0.0001, kb_relative_information_score: 26790.9019, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.0035, predictive_accuracy: 0.0383, prior_entropy: 4.7004, recall: 0.0383, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2719, root_relative_squared_error: 1.4139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7892, f_measure: 0.2127, kappa: 0.1909, kb_relative_information_score: 254379.3302, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.2179, predictive_accuracy: 0.222, prior_entropy: 4.7004, recall: 0.222, relative_absolute_error: 0.9166, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.185, root_relative_squared_error: 0.9621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8445, f_measure: 0.4067, kappa: 0.3863, kb_relative_information_score: 455789.9438, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.405, predictive_accuracy: 0.41, prior_entropy: 4.7004, recall: 0.41, relative_absolute_error: 0.7532, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.8671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0028, kappa: 0, kb_relative_information_score: 26821.2654, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.0276, predictive_accuracy: 0.0384, prior_entropy: 4.7004, recall: 0.0384, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, f_measure: 0.2754, kappa: 0.2459, kb_relative_information_score: 329447.4319, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.2771, predictive_accuracy: 0.2749, prior_entropy: 4.7004, recall: 0.2749, relative_absolute_error: 0.8323, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.9747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, f_measure: 0.326, kappa: 0.2957, kb_relative_information_score: 377796.0292, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.3507, predictive_accuracy: 0.3228, prior_entropy: 4.7004, recall: 0.3228, relative_absolute_error: 0.8415, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.9323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.0045, kappa: -0.0001, kb_relative_information_score: 26707.9495, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.0035, predictive_accuracy: 0.0383, prior_entropy: 4.7004, recall: 0.0383, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5137, f_measure: 0.0113, kappa: 0.005, kb_relative_information_score: 42223.1449, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.0338, predictive_accuracy: 0.0432, prior_entropy: 4.7004, recall: 0.0432, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2665, root_relative_squared_error: 1.3857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.3795, kappa: 0.3607, kb_relative_information_score: 425333.6505, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.3841, predictive_accuracy: 0.3853, prior_entropy: 4.7004, recall: 0.3853, relative_absolute_error: 0.7582, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.8985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.5008, kappa: 0.4833, kb_relative_information_score: 526868.9642, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.5035, predictive_accuracy: 0.5032, prior_entropy: 4.7004, recall: 0.5032, relative_absolute_error: 0.6644, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.8161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.4715, kappa: 0.4522, kb_relative_information_score: 512518.3778, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.4745, predictive_accuracy: 0.4732, prior_entropy: 4.7004, recall: 0.4732, relative_absolute_error: 0.6469, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.8469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6073, f_measure: 0.0764, kappa: 0.0421, kb_relative_information_score: 114983.9898, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.0769, predictive_accuracy: 0.0791, prior_entropy: 4.7004, recall: 0.0791, relative_absolute_error: 0.9515, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2339, root_relative_squared_error: 1.2163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.4475, kappa: 0.4273, kb_relative_information_score: 492239.206, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.4488, predictive_accuracy: 0.4494, prior_entropy: 4.7004, recall: 0.4494, relative_absolute_error: 0.6597, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.8727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.4383, kappa: 0.4219, kb_relative_information_score: 430698.87, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.4403, predictive_accuracy: 0.4442, prior_entropy: 4.7004, recall: 0.4442, relative_absolute_error: 0.7846, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.8636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.0038, kappa: -0, kb_relative_information_score: 28182.0577, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.0031, predictive_accuracy: 0.0394, prior_entropy: 4.7004, recall: 0.0394, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2713, root_relative_squared_error: 1.4109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.0386, kappa: 0.0001, kb_relative_information_score: 27038.8859, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.0386, predictive_accuracy: 0.0386, prior_entropy: 4.7004, recall: 0.0386, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2719, root_relative_squared_error: 1.4141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8491, f_measure: 0.3827, kappa: 0.3596, kb_relative_information_score: 423408.0344, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.3827, predictive_accuracy: 0.3842, prior_entropy: 4.7004, recall: 0.3842, relative_absolute_error: 0.7935, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.17, root_relative_squared_error: 0.8843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, f_measure: 0.385, kappa: 0.3614, kb_relative_information_score: 151583.8948, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.3861, predictive_accuracy: 0.386, prior_entropy: 4.7004, recall: 0.386, relative_absolute_error: 0.9742, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.4664, kappa: 0.4468, kb_relative_information_score: 508150.5531, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.4693, predictive_accuracy: 0.4681, prior_entropy: 4.7004, recall: 0.4681, relative_absolute_error: 0.6497, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.8515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, f_measure: 0.385, kappa: 0.3614, kb_relative_information_score: 151583.8948, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.3861, predictive_accuracy: 0.386, prior_entropy: 4.7004, recall: 0.386, relative_absolute_error: 0.9742, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8491, f_measure: 0.3827, kappa: 0.3596, kb_relative_information_score: 423408.0344, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.3827, predictive_accuracy: 0.3842, prior_entropy: 4.7004, recall: 0.3842, relative_absolute_error: 0.7935, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.17, root_relative_squared_error: 0.8843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, f_measure: 0.385, kappa: 0.3614, kb_relative_information_score: 151583.8948, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.3861, predictive_accuracy: 0.386, prior_entropy: 4.7004, recall: 0.386, relative_absolute_error: 0.9742, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8656, f_measure: 0.4041, kappa: 0.3864, kb_relative_information_score: 413201.8638, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.403, predictive_accuracy: 0.4101, prior_entropy: 4.7004, recall: 0.4101, relative_absolute_error: 0.7989, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.8846,

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