Task
Supervised Data Stream Classification on anneal

Supervised Data Stream Classification on anneal

Task 2169 Supervised Data Stream Classification anneal 25 runs submitted
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25 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0002, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 898, precision: 0.0001, predictive_accuracy: 0.0089, prior_entropy: 2.585, ram_hours: 0, recall: 0.0089, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3727, root_relative_squared_error: 1, run_cpu_time: 0.0179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7213, f_measure: 0.7046, kappa: 0.3443, kb_relative_information_score: 537.0012, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.2778, number_of_instances: 898, precision: 0.756, predictive_accuracy: 0.6737, prior_entropy: 2.585, ram_hours: 0, recall: 0.6737, relative_absolute_error: 0.5724, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.272, root_relative_squared_error: 0.7299, run_cpu_time: 0.1602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4609, f_measure: 0.6576, kappa: -0.0023, kb_relative_information_score: 570.0646, mean_absolute_error: 0.1321, mean_prior_absolute_error: 0.2778, number_of_instances: 898, precision: 0.5798, predictive_accuracy: 0.7595, prior_entropy: 2.585, ram_hours: 0, recall: 0.7595, relative_absolute_error: 0.4755, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2603, root_relative_squared_error: 0.6984, run_cpu_time: 0.0293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7075, f_measure: 0.7613, kappa: 0.4249, kb_relative_information_score: 660.2504, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.2778, number_of_instances: 898, precision: 0.7049, predictive_accuracy: 0.8296, prior_entropy: 2.585, ram_hours: 0, recall: 0.8296, relative_absolute_error: 0.3592, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2195, root_relative_squared_error: 0.5891, run_cpu_time: 0.0235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, f_measure: 0.7539, kappa: 0.3663, kb_relative_information_score: 571.8169, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.2778, number_of_instances: 898, precision: 0.7601, predictive_accuracy: 0.7506, prior_entropy: 2.585, ram_hours: 0, recall: 0.7506, relative_absolute_error: 0.5258, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2563, root_relative_squared_error: 0.6877, run_cpu_time: 0.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.4875, kappa: 0.2893, kb_relative_information_score: 371.6025, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.2778, number_of_instances: 898, precision: 0.8266, predictive_accuracy: 0.4621, prior_entropy: 2.585, recall: 0.4621, relative_absolute_error: 0.6541, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4006, root_relative_squared_error: 1.0748, run_cpu_time: 0.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5101, f_measure: 0.6058, kappa: 0.0147, kb_relative_information_score: 507.9785, mean_absolute_error: 0.1314, mean_prior_absolute_error: 0.2778, number_of_instances: 898, precision: 0.6059, predictive_accuracy: 0.6058, prior_entropy: 2.585, recall: 0.6058, relative_absolute_error: 0.4731, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.9727, run_cpu_time: 0.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0002, kb_relative_information_score: -82.5625, mean_absolute_error: 0.3304, mean_prior_absolute_error: 0.2778, number_of_instances: 898, precision: 0.0001, predictive_accuracy: 0.0089, prior_entropy: 2.585, recall: 0.0089, relative_absolute_error: 1.1893, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5748, root_relative_squared_error: 1.5423, run_cpu_time: 0.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0002, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 898, precision: 0.0001, predictive_accuracy: 0.0089, prior_entropy: 2.585, recall: 0.0089, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3727, root_relative_squared_error: 1, run_cpu_time: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4676, f_measure: 0.6576, kappa: -0.0023, kb_relative_information_score: 569.9371, mean_absolute_error: 0.1322, mean_prior_absolute_error: 0.2778, number_of_instances: 898, precision: 0.5798, predictive_accuracy: 0.7595, prior_entropy: 2.585, recall: 0.7595, relative_absolute_error: 0.4758, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2602, root_relative_squared_error: 0.6982, run_cpu_time: 0.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0219, kappa: -0.0001, kb_relative_information_score: 16.5955, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.2778, number_of_instances: 898, precision: 0.0122, predictive_accuracy: 0.1091, prior_entropy: 2.585, recall: 0.1091, relative_absolute_error: 1.069, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5449, root_relative_squared_error: 1.4622, run_cpu_time: 0.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0002, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 898, precision: 0.0001, predictive_accuracy: 0.0089, prior_entropy: 2.585, recall: 0.0089, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3727, root_relative_squared_error: 1, run_cpu_time: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4643, f_measure: 0.6576, kappa: -0.0023, kb_relative_information_score: 570.1334, mean_absolute_error: 0.132, mean_prior_absolute_error: 0.2778, number_of_instances: 898, precision: 0.5798, predictive_accuracy: 0.7595, prior_entropy: 2.585, recall: 0.7595, relative_absolute_error: 0.4754, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2603, root_relative_squared_error: 0.6983, run_cpu_time: 0.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4676, f_measure: 0.6576, kappa: -0.0023, kb_relative_information_score: 569.9371, mean_absolute_error: 0.1322, mean_prior_absolute_error: 0.2778, number_of_instances: 898, precision: 0.5798, predictive_accuracy: 0.7595, prior_entropy: 2.585, recall: 0.7595, relative_absolute_error: 0.4758, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2602, root_relative_squared_error: 0.6982, run_cpu_time: 0.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0002, kb_relative_information_score: -82.5625, mean_absolute_error: 0.3304, mean_prior_absolute_error: 0.2778, number_of_instances: 898, precision: 0.0001, predictive_accuracy: 0.0089, prior_entropy: 2.585, recall: 0.0089, relative_absolute_error: 1.1893, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5748, root_relative_squared_error: 1.5423, run_cpu_time: 0.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0002, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 898, precision: 0.0001, predictive_accuracy: 0.0089, prior_entropy: 2.585, ram_hours: 0, recall: 0.0089, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3727, root_relative_squared_error: 1, run_cpu_time: 0.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, f_measure: 0.025, kappa: 0.0023, kb_relative_information_score: 18.799, mean_absolute_error: 0.2962, mean_prior_absolute_error: 0.2778, number_of_instances: 898, precision: 0.0154, predictive_accuracy: 0.1114, prior_entropy: 2.585, recall: 0.1114, relative_absolute_error: 1.0664, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5443, root_relative_squared_error: 1.4604, run_cpu_time: 0.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.9054, kappa: 0.7693, kb_relative_information_score: 800.0908, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.2778, number_of_instances: 898, precision: 0.9123, predictive_accuracy: 0.9176, prior_entropy: 2.585, recall: 0.9176, relative_absolute_error: 0.1587, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1465, root_relative_squared_error: 0.3931, run_cpu_time: 0.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.9054, kappa: 0.7693, kb_relative_information_score: 799.9561, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.2778, number_of_instances: 898, precision: 0.9123, predictive_accuracy: 0.9176, prior_entropy: 2.585, ram_hours: 0, recall: 0.9176, relative_absolute_error: 0.159, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1465, root_relative_squared_error: 0.3932, run_cpu_time: 4.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4632, f_measure: 0.6576, kappa: -0.0023, kb_relative_information_score: 572.2979, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.2778, number_of_instances: 898, precision: 0.5798, predictive_accuracy: 0.7595, prior_entropy: 2.585, ram_hours: 0, recall: 0.7595, relative_absolute_error: 0.4714, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.699, run_cpu_time: 0.0221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4609, f_measure: 0.6576, kappa: -0.0023, kb_relative_information_score: 570.0646, mean_absolute_error: 0.1321, mean_prior_absolute_error: 0.2778, number_of_instances: 898, precision: 0.5798, predictive_accuracy: 0.7595, prior_entropy: 2.585, ram_hours: 0, recall: 0.7595, relative_absolute_error: 0.4755, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2603, root_relative_squared_error: 0.6984, run_cpu_time: 0.0211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.462, f_measure: 0.6581, kappa: -0.0012, kb_relative_information_score: 571.1664, mean_absolute_error: 0.1317, mean_prior_absolute_error: 0.2778, number_of_instances: 898, precision: 0.58, predictive_accuracy: 0.7606, prior_entropy: 2.585, ram_hours: 0, recall: 0.7606, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2596, root_relative_squared_error: 0.6965, run_cpu_time: 0.0136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.462, f_measure: 0.6581, kappa: -0.0012, kb_relative_information_score: 571.1664, mean_absolute_error: 0.1317, mean_prior_absolute_error: 0.2778, number_of_instances: 898, precision: 0.58, predictive_accuracy: 0.7606, prior_entropy: 2.585, ram_hours: 0, recall: 0.7606, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2596, root_relative_squared_error: 0.6965, run_cpu_time: 0.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0002, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 898, precision: 0.0001, predictive_accuracy: 0.0089, prior_entropy: 2.585, ram_hours: 0, recall: 0.0089, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3727, root_relative_squared_error: 1, run_cpu_time: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0002, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2778, number_of_instances: 898, precision: 0.0001, predictive_accuracy: 0.0089, prior_entropy: 2.585, ram_hours: 0, recall: 0.0089, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3727, root_relative_squared_error: 1, run_cpu_time: 0.02,

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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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