Task
Supervised Data Stream Classification on BNG(autos,10000,1)

Supervised Data Stream Classification on BNG(autos,10000,1)

Task 7380 Supervised Data Stream Classification BNG(autos,10000,1) 27 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.6691, kappa: 0.5819, kb_relative_information_score: 595428.117, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6766, predictive_accuracy: 0.6861, prior_entropy: 2.8074, recall: 0.6861, relative_absolute_error: 0.5442, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2524, root_relative_squared_error: 0.7213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9032, f_measure: 0.6928, kappa: 0.6106, kb_relative_information_score: 293658.3241, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6906, predictive_accuracy: 0.7033, prior_entropy: 2.8074, recall: 0.7033, relative_absolute_error: 0.8684, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.313, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7027, f_measure: 0.3619, kappa: 0.2592, kb_relative_information_score: 360861.6965, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.3035, predictive_accuracy: 0.4857, prior_entropy: 2.8074, recall: 0.4857, relative_absolute_error: 0.7652, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.308, root_relative_squared_error: 0.8802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6634, f_measure: 0.419, kappa: 0.2937, kb_relative_information_score: 448565.9138, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.4141, predictive_accuracy: 0.4905, prior_entropy: 2.8074, recall: 0.4905, relative_absolute_error: 0.6205, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3655, root_relative_squared_error: 1.0446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, f_measure: 0.6128, kappa: 0.511, kb_relative_information_score: 549713.1183, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6146, predictive_accuracy: 0.6326, prior_entropy: 2.8074, recall: 0.6326, relative_absolute_error: 0.5838, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2659, root_relative_squared_error: 0.7599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5067, f_measure: 0.0594, kappa: 0.0099, kb_relative_information_score: 117648.4814, mean_absolute_error: 0.2441, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.0954, predictive_accuracy: 0.0461, prior_entropy: 2.8074, recall: 0.0461, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.42, root_relative_squared_error: 1.2003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.6848, kappa: 0.5971, kb_relative_information_score: 647577.0309, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6819, predictive_accuracy: 0.69, prior_entropy: 2.8074, recall: 0.69, relative_absolute_error: 0.4546, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2489, root_relative_squared_error: 0.7112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.691, kappa: 0.6093, kb_relative_information_score: 628780.8484, mean_absolute_error: 0.121, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.688, predictive_accuracy: 0.7025, prior_entropy: 2.8074, recall: 0.7025, relative_absolute_error: 0.4942, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2447, root_relative_squared_error: 0.6993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, f_measure: 0.6457, kappa: 0.5546, kb_relative_information_score: 605934.9787, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6573, predictive_accuracy: 0.6674, prior_entropy: 2.8074, recall: 0.6674, relative_absolute_error: 0.5262, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2571, root_relative_squared_error: 0.7348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0006, kappa: 0, kb_relative_information_score: -61028.6429, mean_absolute_error: 0.2809, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.0003, predictive_accuracy: 0.0169, prior_entropy: 2.8074, recall: 0.0169, relative_absolute_error: 1.147, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.53, root_relative_squared_error: 1.5146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0006, kb_relative_information_score: -61029.0892, mean_absolute_error: 0.2809, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.0003, predictive_accuracy: 0.0168, prior_entropy: 2.8074, recall: 0.0168, relative_absolute_error: 1.147, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.5298, root_relative_squared_error: 1.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0006, kappa: -0, kb_relative_information_score: -61041.593, mean_absolute_error: 0.2809, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.0003, predictive_accuracy: 0.0168, prior_entropy: 2.8074, recall: 0.0168, relative_absolute_error: 1.147, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.53, root_relative_squared_error: 1.5146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.6413, kappa: 0.541, kb_relative_information_score: 598094.3636, mean_absolute_error: 0.126, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6391, predictive_accuracy: 0.6468, prior_entropy: 2.8074, recall: 0.6468, relative_absolute_error: 0.5146, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.264, root_relative_squared_error: 0.7544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.6934, kappa: 0.61, kb_relative_information_score: 639720.8686, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6901, predictive_accuracy: 0.7027, prior_entropy: 2.8074, recall: 0.7027, relative_absolute_error: 0.4619, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.7121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0006, kappa: -0, kb_relative_information_score: -61041.593, mean_absolute_error: 0.2809, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.0003, predictive_accuracy: 0.0168, prior_entropy: 2.8074, recall: 0.0168, relative_absolute_error: 1.147, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.53, root_relative_squared_error: 1.5146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.1583, kappa: 0, kb_relative_information_score: 219590.693, mean_absolute_error: 0.221, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.1756, predictive_accuracy: 0.3236, prior_entropy: 2.8074, recall: 0.3236, relative_absolute_error: 0.9023, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.9499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.2259, kappa: -0.0008, kb_relative_information_score: 164591.5472, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.2259, predictive_accuracy: 0.2259, prior_entropy: 2.8074, recall: 0.2259, relative_absolute_error: 0.9031, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4703, root_relative_squared_error: 1.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.5603, kappa: 0.444, kb_relative_information_score: 494659.878, mean_absolute_error: 0.1577, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.5611, predictive_accuracy: 0.5794, prior_entropy: 2.8074, recall: 0.5794, relative_absolute_error: 0.6441, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2838, root_relative_squared_error: 0.8111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.7072, kappa: 0.6264, kb_relative_information_score: 637047.997, mean_absolute_error: 0.1202, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.7037, predictive_accuracy: 0.7141, prior_entropy: 2.8074, recall: 0.7141, relative_absolute_error: 0.4909, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2395, root_relative_squared_error: 0.6843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.7079, kappa: 0.6256, kb_relative_information_score: 665777.6043, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.7054, predictive_accuracy: 0.7128, prior_entropy: 2.8074, recall: 0.7128, relative_absolute_error: 0.4258, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2456, root_relative_squared_error: 0.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.6948, kappa: 0.6089, kb_relative_information_score: 643883.9723, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6917, predictive_accuracy: 0.7003, prior_entropy: 2.8074, recall: 0.7003, relative_absolute_error: 0.4564, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2503, root_relative_squared_error: 0.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.7028, kappa: 0.6215, kb_relative_information_score: 648279.4498, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6999, predictive_accuracy: 0.711, prior_entropy: 2.8074, recall: 0.711, relative_absolute_error: 0.464, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2409, root_relative_squared_error: 0.6884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.7164, kappa: 0.6395, kb_relative_information_score: 671514.7068, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.712, predictive_accuracy: 0.724, prior_entropy: 2.8074, recall: 0.724, relative_absolute_error: 0.4316, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2358, root_relative_squared_error: 0.6738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.645, kappa: 0.5532, kb_relative_information_score: 606059.9419, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6561, predictive_accuracy: 0.6664, prior_entropy: 2.8074, recall: 0.6664, relative_absolute_error: 0.526, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2572, root_relative_squared_error: 0.7351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.6948, kappa: 0.6089, kb_relative_information_score: 643883.9723, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6917, predictive_accuracy: 0.7003, prior_entropy: 2.8074, recall: 0.7003, relative_absolute_error: 0.4564, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2503, root_relative_squared_error: 0.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0006, kappa: 0, kb_relative_information_score: -61030.8008, mean_absolute_error: 0.2809, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.0003, predictive_accuracy: 0.0169, prior_entropy: 2.8074, recall: 0.0169, relative_absolute_error: 1.147, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.53, root_relative_squared_error: 1.5146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8837, f_measure: 0.641, kappa: 0.5406, kb_relative_information_score: 598009.7713, mean_absolute_error: 0.126, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6388, predictive_accuracy: 0.6465, prior_entropy: 2.8074, recall: 0.6465, relative_absolute_error: 0.5145, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2641, root_relative_squared_error: 0.7548,

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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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