Task
Supervised Data Stream Classification on BNG(anneal.ORIG,1000,1)

Supervised Data Stream Classification on BNG(anneal.ORIG,1000,1)

Task 7338 Supervised Data Stream Classification BNG(anneal.ORIG,1000,1) 30 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.877, kappa: 0.6877, kb_relative_information_score: 869245.2617, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8893, predictive_accuracy: 0.8923, prior_entropy: 2.585, recall: 0.8923, relative_absolute_error: 0.1752, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1625, root_relative_squared_error: 0.4362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.8773, kappa: 0.6889, kb_relative_information_score: 869536.1198, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8896, predictive_accuracy: 0.8926, prior_entropy: 2.585, recall: 0.8926, relative_absolute_error: 0.1747, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1625, root_relative_squared_error: 0.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, f_measure: 0.866, kappa: 0.661, kb_relative_information_score: 826050.8356, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8635, predictive_accuracy: 0.8733, prior_entropy: 2.585, recall: 0.8733, relative_absolute_error: 0.241, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.4837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9325, kappa: 0.8324, kb_relative_information_score: 902069.4407, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9324, predictive_accuracy: 0.9354, prior_entropy: 2.585, recall: 0.9354, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1285, root_relative_squared_error: 0.3447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8038, f_measure: 0.7229, kappa: 0.3287, kb_relative_information_score: 671516.6366, mean_absolute_error: 0.1129, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7374, predictive_accuracy: 0.7107, prior_entropy: 2.585, recall: 0.7107, relative_absolute_error: 0.4063, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2643, root_relative_squared_error: 0.7092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.8535, kappa: 0.6297, kb_relative_information_score: 817492.5747, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8511, predictive_accuracy: 0.8587, prior_entropy: 2.585, recall: 0.8587, relative_absolute_error: 0.2391, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.5252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0221, kappa: -0.0001, kb_relative_information_score: 18203.5512, 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: 0.4959, f_measure: 0.2463, kappa: -0.0065, kb_relative_information_score: 92277.6326, mean_absolute_error: 0.2758, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.5824, predictive_accuracy: 0.1641, prior_entropy: 2.585, recall: 0.1641, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5221, root_relative_squared_error: 1.4011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9127, kappa: 0.7862, kb_relative_information_score: 880595.7425, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9115, predictive_accuracy: 0.9178, prior_entropy: 2.585, recall: 0.9178, relative_absolute_error: 0.1702, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1453, root_relative_squared_error: 0.3899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.921, kappa: 0.8059, kb_relative_information_score: 891402.9297, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9196, predictive_accuracy: 0.924, prior_entropy: 2.585, recall: 0.924, relative_absolute_error: 0.1542, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.3749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.0221, kappa: -0, kb_relative_information_score: 18505.2687, 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: 1.0694, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5437, root_relative_squared_error: 1.459,
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: 0.9705, f_measure: 0.9116, kappa: 0.7801, kb_relative_information_score: 889064.9169, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9131, predictive_accuracy: 0.9105, prior_entropy: 2.585, recall: 0.9105, relative_absolute_error: 0.1486, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.151, root_relative_squared_error: 0.4052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.923, kappa: 0.8078, kb_relative_information_score: 372742.4321, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9227, predictive_accuracy: 0.9242, prior_entropy: 2.585, recall: 0.9242, relative_absolute_error: 0.8089, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.314, root_relative_squared_error: 0.8426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7609, f_measure: 0.7445, kappa: 0.3093, kb_relative_information_score: 697359.8667, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7412, predictive_accuracy: 0.782, prior_entropy: 2.585, recall: 0.782, relative_absolute_error: 0.3973, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2395, root_relative_squared_error: 0.6427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9241, kappa: 0.8132, kb_relative_information_score: 895159.1827, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.923, predictive_accuracy: 0.9279, prior_entropy: 2.585, recall: 0.9279, relative_absolute_error: 0.1514, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.3671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9294, kappa: 0.8245, kb_relative_information_score: 890920.5921, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9284, predictive_accuracy: 0.9312, prior_entropy: 2.585, recall: 0.9312, relative_absolute_error: 0.1583, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.3669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.0221, kappa: -0.0001, kb_relative_information_score: 18181.4846, mean_absolute_error: 0.2971, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0123, predictive_accuracy: 0.1088, prior_entropy: 2.585, recall: 0.1088, relative_absolute_error: 1.0694, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5448, root_relative_squared_error: 1.4618,
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: 0.4999, f_measure: 0.022, kappa: -0.0001, kb_relative_information_score: 18380.9339, 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: 1.0692, 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: 0.4999, f_measure: 0.022, kappa: -0.0001, kb_relative_information_score: 18380.9339, 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: 1.0692, 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: 0.805, f_measure: 0.7235, kappa: 0.3302, kb_relative_information_score: 671922.9562, mean_absolute_error: 0.1129, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.738, predictive_accuracy: 0.7115, prior_entropy: 2.585, recall: 0.7115, relative_absolute_error: 0.4063, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2637, root_relative_squared_error: 0.7076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.8535, kappa: 0.6297, kb_relative_information_score: 817492.5747, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8511, predictive_accuracy: 0.8587, prior_entropy: 2.585, recall: 0.8587, relative_absolute_error: 0.2391, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.5252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.8998, kappa: 0.749, kb_relative_information_score: 785148.2289, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8983, predictive_accuracy: 0.9039, prior_entropy: 2.585, recall: 0.9039, relative_absolute_error: 0.3392, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.4788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.905, kappa: 0.7602, kb_relative_information_score: 878574.5566, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9046, predictive_accuracy: 0.9074, prior_entropy: 2.585, recall: 0.9074, relative_absolute_error: 0.1585, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1612, root_relative_squared_error: 0.4326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8418, f_measure: 0.7515, kappa: 0.3999, kb_relative_information_score: 726089.973, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7367, predictive_accuracy: 0.7966, prior_entropy: 2.585, recall: 0.7966, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.5987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.022, kappa: -0.0001, kb_relative_information_score: 18540.5256, 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: 1.0692, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.544, root_relative_squared_error: 1.4598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, f_measure: 0.8478, kappa: 0.6098, kb_relative_information_score: 809041.6238, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8455, predictive_accuracy: 0.856, prior_entropy: 2.585, recall: 0.856, relative_absolute_error: 0.251, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, f_measure: 0.8478, kappa: 0.6098, kb_relative_information_score: 809041.6238, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8455, predictive_accuracy: 0.856, prior_entropy: 2.585, recall: 0.856, relative_absolute_error: 0.251, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7332, f_measure: 0.7773, kappa: 0.4239, kb_relative_information_score: 799388.5982, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7775, predictive_accuracy: 0.8139, prior_entropy: 2.585, recall: 0.8139, relative_absolute_error: 0.2249, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2385, root_relative_squared_error: 0.64,

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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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