Task
Supervised Data Stream Classification on abalone

Supervised Data Stream Classification on abalone

Task 2247 Supervised Data Stream Classification abalone 25 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -42.519, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.0666, number_of_instances: 4177, predictive_accuracy: 0.0002, prior_entropy: 4.858, ram_hours: 0, recall: 0.0002, relative_absolute_error: 1.0355, root_mean_prior_squared_error: 0.1825, root_mean_squared_error: 0.2626, root_relative_squared_error: 1.4391, run_cpu_time: 0.0689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5604, f_measure: 0.1521, kappa: 0.0635, kb_relative_information_score: 684.0052, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.0666, number_of_instances: 4177, precision: 0.1941, predictive_accuracy: 0.1281, prior_entropy: 4.858, ram_hours: 0, recall: 0.1281, relative_absolute_error: 0.9084, root_mean_prior_squared_error: 0.1825, root_mean_squared_error: 0.206, root_relative_squared_error: 1.129, run_cpu_time: 0.1922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6905, f_measure: 0.2032, kappa: 0.1242, kb_relative_information_score: 1577.6448, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.0666, number_of_instances: 4177, precision: 0.21, predictive_accuracy: 0.2305, prior_entropy: 4.858, ram_hours: 0, recall: 0.2305, relative_absolute_error: 0.8756, root_mean_prior_squared_error: 0.1825, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.945, run_cpu_time: 0.2137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7067, f_measure: 0.2196, kappa: 0.1408, kb_relative_information_score: 1420.8201, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.0666, number_of_instances: 4177, precision: 0.2173, predictive_accuracy: 0.2308, prior_entropy: 4.858, ram_hours: 0, recall: 0.2308, relative_absolute_error: 0.8357, root_mean_prior_squared_error: 0.1825, root_mean_squared_error: 0.1858, root_relative_squared_error: 1.0184, run_cpu_time: 2.1836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5107, f_measure: 0.0699, kappa: 0.0008, kb_relative_information_score: 1178.0364, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.0666, number_of_instances: 4177, precision: 0.0517, predictive_accuracy: 0.1621, prior_entropy: 4.858, ram_hours: 0, recall: 0.1621, relative_absolute_error: 0.9338, root_mean_prior_squared_error: 0.1825, root_mean_squared_error: 0.176, root_relative_squared_error: 0.9644, run_cpu_time: 0.1622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6977, f_measure: 0.2159, kappa: 0.1269, kb_relative_information_score: 1716.0083, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.0666, number_of_instances: 4177, precision: 0.2072, predictive_accuracy: 0.2322, prior_entropy: 4.858, ram_hours: 0, recall: 0.2322, relative_absolute_error: 0.838, root_mean_prior_squared_error: 0.1825, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.9558, run_cpu_time: 10.5056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -42.519, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.0666, number_of_instances: 4177, predictive_accuracy: 0.0002, prior_entropy: 4.858, ram_hours: 0, recall: 0.0002, relative_absolute_error: 1.0355, root_mean_prior_squared_error: 0.1825, root_mean_squared_error: 0.2626, root_relative_squared_error: 1.4391, run_cpu_time: 0.0263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6077, f_measure: 0.125, kappa: 0.0657, kb_relative_information_score: 734.4499, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.0666, number_of_instances: 4177, precision: 0.1813, predictive_accuracy: 0.1089, prior_entropy: 4.858, ram_hours: 0, recall: 0.1089, relative_absolute_error: 0.9233, root_mean_prior_squared_error: 0.1825, root_mean_squared_error: 0.1896, root_relative_squared_error: 1.0392, run_cpu_time: 0.5375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6303, f_measure: 0.1336, kappa: 0.0906, kb_relative_information_score: 557.3042, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.0666, number_of_instances: 4177, precision: 0.1294, predictive_accuracy: 0.1798, prior_entropy: 4.858, ram_hours: 0, recall: 0.1798, relative_absolute_error: 0.9778, root_mean_prior_squared_error: 0.1825, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.983, run_cpu_time: 1.1527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.683, f_measure: 0.2197, kappa: 0.1329, kb_relative_information_score: 1712.1466, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.0666, number_of_instances: 4177, precision: 0.2108, predictive_accuracy: 0.2382, prior_entropy: 4.858, ram_hours: 0, recall: 0.2382, relative_absolute_error: 0.8372, root_mean_prior_squared_error: 0.1825, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.9617, run_cpu_time: 0.6016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5107, f_measure: 0.0699, kappa: 0.0008, kb_relative_information_score: 1178.0364, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.0666, number_of_instances: 4177, precision: 0.0517, predictive_accuracy: 0.1621, prior_entropy: 4.858, ram_hours: 0, recall: 0.1621, relative_absolute_error: 0.9338, root_mean_prior_squared_error: 0.1825, root_mean_squared_error: 0.176, root_relative_squared_error: 0.9644, run_cpu_time: 0.6578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6767, f_measure: 0.2131, kappa: 0.1396, kb_relative_information_score: 1288.4853, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.0666, number_of_instances: 4177, precision: 0.219, predictive_accuracy: 0.2241, prior_entropy: 4.858, ram_hours: 0, recall: 0.2241, relative_absolute_error: 0.8611, root_mean_prior_squared_error: 0.1825, root_mean_squared_error: 0.1844, root_relative_squared_error: 1.0106, run_cpu_time: 1.2733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.697, f_measure: 0.2106, kappa: 0.1337, kb_relative_information_score: 1284.5602, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.0666, number_of_instances: 4177, precision: 0.2182, predictive_accuracy: 0.2179, prior_entropy: 4.858, recall: 0.2179, relative_absolute_error: 0.8531, root_mean_prior_squared_error: 0.1825, root_mean_squared_error: 0.1898, root_relative_squared_error: 1.0401, run_cpu_time: 0.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.557, f_measure: 0.2064, kappa: 0.1137, kb_relative_information_score: 827.4537, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.0666, number_of_instances: 4177, precision: 0.2064, predictive_accuracy: 0.2064, prior_entropy: 4.858, ram_hours: 0, recall: 0.2064, relative_absolute_error: 0.822, root_mean_prior_squared_error: 0.1825, root_mean_squared_error: 0.234, root_relative_squared_error: 1.2822, run_cpu_time: 0.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5472, f_measure: 0.1662, kappa: 0.0765, kb_relative_information_score: 574.1549, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.0666, number_of_instances: 4177, precision: 0.2106, predictive_accuracy: 0.1441, prior_entropy: 4.858, ram_hours: 0, recall: 0.1441, relative_absolute_error: 0.8781, root_mean_prior_squared_error: 0.1825, root_mean_squared_error: 0.2247, root_relative_squared_error: 1.2316, run_cpu_time: 0.0833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -42.519, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.0666, number_of_instances: 4177, predictive_accuracy: 0.0002, prior_entropy: 4.858, ram_hours: 0, recall: 0.0002, relative_absolute_error: 1.0355, root_mean_prior_squared_error: 0.1825, root_mean_squared_error: 0.2626, root_relative_squared_error: 1.4391, run_cpu_time: 0.0274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6942, f_measure: 0.2019, kappa: 0.1262, kb_relative_information_score: 1265.1888, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.0666, number_of_instances: 4177, precision: 0.2057, predictive_accuracy: 0.2116, prior_entropy: 4.858, ram_hours: 0, recall: 0.2116, relative_absolute_error: 0.8556, root_mean_prior_squared_error: 0.1825, root_mean_squared_error: 0.1905, root_relative_squared_error: 1.0438, run_cpu_time: 0.3947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6955, f_measure: 0.2252, kappa: 0.1482, kb_relative_information_score: 1410.9455, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.0666, number_of_instances: 4177, precision: 0.2228, predictive_accuracy: 0.2373, prior_entropy: 4.858, ram_hours: 0, recall: 0.2373, relative_absolute_error: 0.8426, root_mean_prior_squared_error: 0.1825, root_mean_squared_error: 0.1835, root_relative_squared_error: 1.0057, run_cpu_time: 1.4832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6157, f_measure: 0.1286, kappa: 0.0604, kb_relative_information_score: 977.8535, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.0666, number_of_instances: 4177, precision: 0.1605, predictive_accuracy: 0.1252, prior_entropy: 4.858, ram_hours: 0, recall: 0.1252, relative_absolute_error: 0.9229, root_mean_prior_squared_error: 0.1825, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.9882, run_cpu_time: 0.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0027, kappa: 0.0001, kb_relative_information_score: -31.978, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.0666, number_of_instances: 4177, precision: 0.0294, predictive_accuracy: 0.0017, prior_entropy: 4.858, ram_hours: 0, recall: 0.0017, relative_absolute_error: 1.0342, root_mean_prior_squared_error: 0.1825, root_mean_squared_error: 0.2619, root_relative_squared_error: 1.4351, run_cpu_time: 1.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6978, f_measure: 0.2112, kappa: 0.1346, kb_relative_information_score: 1283.1537, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.0666, number_of_instances: 4177, precision: 0.2191, predictive_accuracy: 0.2183, prior_entropy: 4.858, ram_hours: 0, recall: 0.2183, relative_absolute_error: 0.8524, root_mean_prior_squared_error: 0.1825, root_mean_squared_error: 0.1903, root_relative_squared_error: 1.0428, run_cpu_time: 0.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.697, f_measure: 0.2106, kappa: 0.1337, kb_relative_information_score: 1284.5602, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.0666, number_of_instances: 4177, precision: 0.2182, predictive_accuracy: 0.2179, prior_entropy: 4.858, ram_hours: 0, recall: 0.2179, relative_absolute_error: 0.8531, root_mean_prior_squared_error: 0.1825, root_mean_squared_error: 0.1898, root_relative_squared_error: 1.0401, run_cpu_time: 0.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: -33.1082, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.0666, number_of_instances: 4177, predictive_accuracy: 0.0002, prior_entropy: 4.858, ram_hours: 0, recall: 0.0002, relative_absolute_error: 1.0272, root_mean_prior_squared_error: 0.1825, root_mean_squared_error: 0.2458, root_relative_squared_error: 1.3472, run_cpu_time: 0.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -42.519, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.0666, number_of_instances: 4177, predictive_accuracy: 0.0002, prior_entropy: 4.858, ram_hours: 0, recall: 0.0002, relative_absolute_error: 1.0355, root_mean_prior_squared_error: 0.1825, root_mean_squared_error: 0.2626, root_relative_squared_error: 1.4391, run_cpu_time: 0.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kappa: -0.0001, kb_relative_information_score: -42.0878, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.0666, number_of_instances: 4177, predictive_accuracy: 0.0002, prior_entropy: 4.858, ram_hours: 0, recall: 0.0002, relative_absolute_error: 1.0354, root_mean_prior_squared_error: 0.1825, root_mean_squared_error: 0.2625, root_relative_squared_error: 1.4388, run_cpu_time: 1.07,

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    Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

    Challenge

    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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