Task
Supervised Data Stream Classification on autos

Supervised Data Stream Classification on autos

Task 2177 Supervised Data Stream Classification autos 26 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7467, f_measure: 0.5059, kappa: 0.3549, kb_relative_information_score: 95.6912, mean_absolute_error: 0.1468, mean_prior_absolute_error: 0.2449, number_of_instances: 205, precision: 0.5425, predictive_accuracy: 0.4927, prior_entropy: 2.8074, recall: 0.4927, relative_absolute_error: 0.5996, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3576, root_relative_squared_error: 1.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.2449, number_of_instances: 205, prior_entropy: 2.8074, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3499, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -16.2396, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.2449, number_of_instances: 205, prior_entropy: 2.8074, relative_absolute_error: 1.1667, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.5275, run_cpu_time: 0.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.763, f_measure: 0.4124, kappa: 0.2502, kb_relative_information_score: 90.6523, mean_absolute_error: 0.1716, mean_prior_absolute_error: 0.2449, number_of_instances: 205, precision: 0.5052, predictive_accuracy: 0.4488, prior_entropy: 2.8074, recall: 0.4488, relative_absolute_error: 0.7007, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.8995, run_cpu_time: 0.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.5012, kappa: 0.3487, kb_relative_information_score: 96.3075, mean_absolute_error: 0.1467, mean_prior_absolute_error: 0.2449, number_of_instances: 205, precision: 0.5379, predictive_accuracy: 0.4878, prior_entropy: 2.8074, recall: 0.4878, relative_absolute_error: 0.599, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3557, root_relative_squared_error: 1.0165, run_cpu_time: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0004, kappa: 0.0001, kb_relative_information_score: -13.002, mean_absolute_error: 0.2815, mean_prior_absolute_error: 0.2449, number_of_instances: 205, precision: 0.0002, predictive_accuracy: 0.0146, prior_entropy: 2.8074, recall: 0.0146, relative_absolute_error: 1.1496, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.5306, root_relative_squared_error: 1.5163, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0004, kappa: 0.0001, kb_relative_information_score: -13.002, mean_absolute_error: 0.2815, mean_prior_absolute_error: 0.2449, number_of_instances: 205, precision: 0.0002, predictive_accuracy: 0.0146, prior_entropy: 2.8074, recall: 0.0146, relative_absolute_error: 1.1496, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.5306, root_relative_squared_error: 1.5163, run_cpu_time: 0.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7644, f_measure: 0.4167, kappa: 0.2565, kb_relative_information_score: 90.7812, mean_absolute_error: 0.1715, mean_prior_absolute_error: 0.2449, number_of_instances: 205, precision: 0.5084, predictive_accuracy: 0.4537, prior_entropy: 2.8074, ram_hours: 0, recall: 0.4537, relative_absolute_error: 0.7001, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3147, root_relative_squared_error: 0.8992, run_cpu_time: 0.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7216, f_measure: 0.4693, kappa: 0.3086, kb_relative_information_score: 90.5328, mean_absolute_error: 0.1658, mean_prior_absolute_error: 0.2449, number_of_instances: 205, precision: 0.4864, predictive_accuracy: 0.4683, prior_entropy: 2.8074, recall: 0.4683, relative_absolute_error: 0.6769, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3322, root_relative_squared_error: 0.9494, run_cpu_time: 0.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6697, f_measure: 0.4246, kappa: 0.2501, kb_relative_information_score: 72.1379, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.2449, number_of_instances: 205, precision: 0.4872, predictive_accuracy: 0.3951, prior_entropy: 2.8074, recall: 0.3951, relative_absolute_error: 0.7548, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3786, root_relative_squared_error: 1.082, run_cpu_time: 0.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6697, f_measure: 0.4246, kappa: 0.2501, kb_relative_information_score: 72.1379, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.2449, number_of_instances: 205, precision: 0.4872, predictive_accuracy: 0.3951, prior_entropy: 2.8074, recall: 0.3951, relative_absolute_error: 0.7548, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3786, root_relative_squared_error: 1.082, run_cpu_time: 0.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.4738, kappa: 0.3237, kb_relative_information_score: 96.7438, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.2449, number_of_instances: 205, precision: 0.4938, predictive_accuracy: 0.4732, prior_entropy: 2.8074, ram_hours: 0, recall: 0.4732, relative_absolute_error: 0.6042, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.9878, run_cpu_time: 0.0096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7628, f_measure: 0.6306, kappa: 0.5191, kb_relative_information_score: 122.9794, mean_absolute_error: 0.1059, mean_prior_absolute_error: 0.2449, number_of_instances: 205, precision: 0.6321, predictive_accuracy: 0.6293, prior_entropy: 2.8074, ram_hours: 0, recall: 0.6293, relative_absolute_error: 0.4325, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.9301, run_cpu_time: 0.0028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7216, f_measure: 0.4693, kappa: 0.3086, kb_relative_information_score: 90.5328, mean_absolute_error: 0.1658, mean_prior_absolute_error: 0.2449, number_of_instances: 205, precision: 0.4864, predictive_accuracy: 0.4683, prior_entropy: 2.8074, recall: 0.4683, relative_absolute_error: 0.6769, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3322, root_relative_squared_error: 0.9494, run_cpu_time: 0.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.2449, number_of_instances: 205, prior_entropy: 2.8074, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3499, root_relative_squared_error: 1, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.2449, number_of_instances: 205, prior_entropy: 2.8074, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3499, root_relative_squared_error: 1, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.2449, number_of_instances: 205, prior_entropy: 2.8074, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3499, root_relative_squared_error: 1, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -16.2396, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.2449, number_of_instances: 205, prior_entropy: 2.8074, relative_absolute_error: 1.1667, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.5275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7159, f_measure: 0.4553, kappa: 0.3022, kb_relative_information_score: 87.5598, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.2449, number_of_instances: 205, precision: 0.4856, predictive_accuracy: 0.4537, prior_entropy: 2.8074, recall: 0.4537, relative_absolute_error: 0.6582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3555, root_relative_squared_error: 1.0158, run_cpu_time: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7725, f_measure: 0.521, kappa: 0.3676, kb_relative_information_score: 100.2692, mean_absolute_error: 0.1473, mean_prior_absolute_error: 0.2449, number_of_instances: 205, precision: 0.5469, predictive_accuracy: 0.5073, prior_entropy: 2.8074, recall: 0.5073, relative_absolute_error: 0.6016, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3304, root_relative_squared_error: 0.9443, run_cpu_time: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5317, f_measure: 0.2363, kappa: 0.0109, kb_relative_information_score: 53.5086, mean_absolute_error: 0.2149, mean_prior_absolute_error: 0.2449, number_of_instances: 205, precision: 0.2618, predictive_accuracy: 0.2976, prior_entropy: 2.8074, recall: 0.2976, relative_absolute_error: 0.8776, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.338, root_relative_squared_error: 0.9659, run_cpu_time: 0.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.2449, number_of_instances: 205, prior_entropy: 2.8074, ram_hours: 0, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3499, root_relative_squared_error: 1, run_cpu_time: 0.0044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7509, f_measure: 0.4674, kappa: 0.3119, kb_relative_information_score: 93.961, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.2449, number_of_instances: 205, precision: 0.482, predictive_accuracy: 0.4829, prior_entropy: 2.8074, ram_hours: 0, recall: 0.4829, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.8997, run_cpu_time: 0.0041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.4738, kappa: 0.3237, kb_relative_information_score: 96.7438, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.2449, number_of_instances: 205, precision: 0.4938, predictive_accuracy: 0.4732, prior_entropy: 2.8074, ram_hours: 0, recall: 0.4732, relative_absolute_error: 0.6042, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.9878, run_cpu_time: 0.0099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5317, f_measure: 0.2363, kappa: 0.0109, kb_relative_information_score: 53.5086, mean_absolute_error: 0.2149, mean_prior_absolute_error: 0.2449, number_of_instances: 205, precision: 0.2618, predictive_accuracy: 0.2976, prior_entropy: 2.8074, ram_hours: 0, recall: 0.2976, relative_absolute_error: 0.8776, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.338, root_relative_squared_error: 0.9659, run_cpu_time: 0.0148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.2449, number_of_instances: 205, prior_entropy: 2.8074, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3499, root_relative_squared_error: 1,

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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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