Task
Supervised Data Stream Classification on BNG(anneal.ORIG,1000,10)

Supervised Data Stream Classification on BNG(anneal.ORIG,1000,10)

Task 7340 Supervised Data Stream Classification BNG(anneal.ORIG,1000,10) 28 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.8656, kappa: 0.6632, kb_relative_information_score: 822596.7056, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8669, predictive_accuracy: 0.8647, prior_entropy: 2.585, recall: 0.8647, relative_absolute_error: 0.2393, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1866, root_relative_squared_error: 0.5006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.0227, kb_relative_information_score: 508223.4561, mean_absolute_error: 0.1909, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.5829, predictive_accuracy: 0.1102, prior_entropy: 2.585, recall: 0.1102, relative_absolute_error: 0.6873, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.8849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7458, f_measure: 0.7536, kappa: 0.3511, kb_relative_information_score: 773560.5874, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7457, predictive_accuracy: 0.789, prior_entropy: 2.585, recall: 0.789, relative_absolute_error: 0.2594, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2468, root_relative_squared_error: 0.6622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.022, kappa: -0.0002, kb_relative_information_score: 18607.6211, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0123, predictive_accuracy: 0.1092, prior_entropy: 2.585, recall: 0.1092, relative_absolute_error: 1.0691, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5441, root_relative_squared_error: 1.4601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.022, kappa: -0.0002, kb_relative_information_score: 18389.7479, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0123, predictive_accuracy: 0.109, prior_entropy: 2.585, recall: 0.109, relative_absolute_error: 1.0691, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.545, root_relative_squared_error: 1.4623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7503, f_measure: 0.7537, kappa: 0.342, kb_relative_information_score: 701103.92, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7455, predictive_accuracy: 0.7821, prior_entropy: 2.585, recall: 0.7821, relative_absolute_error: 0.3882, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2416, root_relative_squared_error: 0.6482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.6559, kappa: -0, kb_relative_information_score: 630195.6754, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.5771, predictive_accuracy: 0.7597, prior_entropy: 2.585, recall: 0.7597, relative_absolute_error: 0.4838, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.6954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8428, f_measure: 0.7772, kappa: 0.4039, kb_relative_information_score: 676066.7484, mean_absolute_error: 0.1274, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7746, predictive_accuracy: 0.8046, prior_entropy: 2.585, recall: 0.8046, relative_absolute_error: 0.4585, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.6134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7318, kappa: 0.3013, kb_relative_information_score: 696618.4546, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.734, predictive_accuracy: 0.7802, prior_entropy: 2.585, recall: 0.7802, relative_absolute_error: 0.396, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.6164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.8647, kappa: 0.6655, kb_relative_information_score: 827211.8669, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8639, predictive_accuracy: 0.8657, prior_entropy: 2.585, recall: 0.8657, relative_absolute_error: 0.2315, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.4983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.8572, kappa: 0.6433, kb_relative_information_score: 811771.4204, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8537, predictive_accuracy: 0.8625, prior_entropy: 2.585, recall: 0.8625, relative_absolute_error: 0.2562, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.5001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.022, kappa: -0.0002, kb_relative_information_score: 18204.983, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0123, predictive_accuracy: 0.1089, prior_entropy: 2.585, recall: 0.1089, relative_absolute_error: 1.0694, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5448, root_relative_squared_error: 1.4619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7337, f_measure: 0.7487, kappa: 0.3168, kb_relative_information_score: 698345.8411, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7461, predictive_accuracy: 0.7862, prior_entropy: 2.585, recall: 0.7862, relative_absolute_error: 0.3929, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2411, root_relative_squared_error: 0.6469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.5966, kappa: -0.0008, kb_relative_information_score: 555599.1671, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.5966, predictive_accuracy: 0.5966, prior_entropy: 2.585, recall: 0.5966, relative_absolute_error: 0.484, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.9839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8648, kappa: 0.6629, kb_relative_information_score: 829172.8055, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8623, predictive_accuracy: 0.8679, prior_entropy: 2.585, recall: 0.8679, relative_absolute_error: 0.2314, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.4945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.898, kappa: 0.7435, kb_relative_information_score: 871729.2969, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8971, predictive_accuracy: 0.8997, prior_entropy: 2.585, recall: 0.8997, relative_absolute_error: 0.1742, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.158, root_relative_squared_error: 0.4241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.022, kappa: -0.0001, kb_relative_information_score: 18552.1766, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0123, predictive_accuracy: 0.1091, prior_entropy: 2.585, recall: 0.1091, relative_absolute_error: 1.0693, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5438, root_relative_squared_error: 1.4592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5035, f_measure: 0.2515, kappa: 0.0218, kb_relative_information_score: 79208.0142, mean_absolute_error: 0.2809, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.6742, predictive_accuracy: 0.1666, prior_entropy: 2.585, recall: 0.1666, relative_absolute_error: 1.0113, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.523, root_relative_squared_error: 1.4033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.8779, kappa: 0.6963, kb_relative_information_score: 362817.5008, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8792, predictive_accuracy: 0.877, prior_entropy: 2.585, recall: 0.877, relative_absolute_error: 0.8149, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3166, root_relative_squared_error: 0.8497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6682, f_measure: 0.6754, kappa: 0.0716, kb_relative_information_score: 650094.4727, mean_absolute_error: 0.1257, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.672, predictive_accuracy: 0.7596, prior_entropy: 2.585, recall: 0.7596, relative_absolute_error: 0.4525, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2536, root_relative_squared_error: 0.6806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.8623, kappa: 0.6502, kb_relative_information_score: 830883.2812, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8611, predictive_accuracy: 0.8651, prior_entropy: 2.585, recall: 0.8651, relative_absolute_error: 0.2184, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.5078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.8367, kappa: 0.5693, kb_relative_information_score: 828779.9542, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8523, predictive_accuracy: 0.8594, prior_entropy: 2.585, recall: 0.8594, relative_absolute_error: 0.2272, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1845, root_relative_squared_error: 0.4949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.8372, kappa: 0.5716, kb_relative_information_score: 829274.3122, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8524, predictive_accuracy: 0.8597, prior_entropy: 2.585, recall: 0.8597, relative_absolute_error: 0.2265, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1844, root_relative_squared_error: 0.4948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.7595, kappa: 0.3452, kb_relative_information_score: 710058.3566, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.761, predictive_accuracy: 0.7963, prior_entropy: 2.585, recall: 0.7963, relative_absolute_error: 0.3861, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.6189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.8949, kappa: 0.7346, kb_relative_information_score: 855566.446, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8942, predictive_accuracy: 0.901, prior_entropy: 2.585, recall: 0.901, relative_absolute_error: 0.2066, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.4247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7503, f_measure: 0.7537, kappa: 0.342, kb_relative_information_score: 701103.92, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7455, predictive_accuracy: 0.7821, prior_entropy: 2.585, recall: 0.7821, relative_absolute_error: 0.3882, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2416, root_relative_squared_error: 0.6482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.022, kappa: -0.0002, kb_relative_information_score: 18266.3513, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0123, predictive_accuracy: 0.1089, prior_entropy: 2.585, recall: 0.1089, relative_absolute_error: 1.0693, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.545, root_relative_squared_error: 1.4624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, f_measure: 0.6932, kappa: 0.1701, kb_relative_information_score: 630990.204, mean_absolute_error: 0.1322, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.673, predictive_accuracy: 0.7338, prior_entropy: 2.585, recall: 0.7338, relative_absolute_error: 0.4758, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.7,

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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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