Task
Supervised Data Stream Classification on BNG(dermatology)

Supervised Data Stream Classification on BNG(dermatology)

Task 2159 Supervised Data Stream Classification BNG(dermatology) 290 runs submitted
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  • ecmlpkdd2015 streamensembles streams study_11 study_16
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.967, kappa: 0.9588, kb_relative_information_score: 848841.7169, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9695, predictive_accuracy: 0.9671, prior_entropy: 2.585, recall: 0.9671, relative_absolute_error: 0.2557, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.3857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9823, kappa: 0.9779, kb_relative_information_score: 890539.8504, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9826, predictive_accuracy: 0.9823, prior_entropy: 2.585, recall: 0.9823, relative_absolute_error: 0.1916, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1157, root_relative_squared_error: 0.3106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9828, kappa: 0.9785, kb_relative_information_score: 913310.2624, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.983, predictive_accuracy: 0.9828, prior_entropy: 2.585, recall: 0.9828, relative_absolute_error: 0.1502, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1063, root_relative_squared_error: 0.2852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9842, kappa: 0.9803, kb_relative_information_score: 938356.1663, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9843, predictive_accuracy: 0.9843, prior_entropy: 2.585, recall: 0.9843, relative_absolute_error: 0.1047, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.2531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9858, kappa: 0.9823, kb_relative_information_score: 959769.3788, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9858, predictive_accuracy: 0.9858, prior_entropy: 2.585, recall: 0.9858, relative_absolute_error: 0.0655, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.2221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.986, kappa: 0.9825, kb_relative_information_score: 979381.7665, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.986, predictive_accuracy: 0.986, prior_entropy: 2.585, recall: 0.986, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0693, root_relative_squared_error: 0.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9861, kappa: 0.9826, kb_relative_information_score: 982592.8113, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9861, predictive_accuracy: 0.9861, prior_entropy: 2.585, recall: 0.9861, relative_absolute_error: 0.0213, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0692, root_relative_squared_error: 0.1857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9861, kappa: 0.9827, kb_relative_information_score: 984719.7516, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9861, predictive_accuracy: 0.9861, prior_entropy: 2.585, recall: 0.9861, relative_absolute_error: 0.0166, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.068, root_relative_squared_error: 0.1824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.967, kappa: 0.9588, kb_relative_information_score: 848841.7169, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9695, predictive_accuracy: 0.9671, prior_entropy: 2.585, recall: 0.9671, relative_absolute_error: 0.2557, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.3857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9702, kappa: 0.9628, kb_relative_information_score: 889332.6075, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9722, predictive_accuracy: 0.9703, prior_entropy: 2.585, recall: 0.9703, relative_absolute_error: 0.1878, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1249, root_relative_squared_error: 0.3351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9808, kappa: 0.976, kb_relative_information_score: 930109.6795, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9811, predictive_accuracy: 0.9808, prior_entropy: 2.585, recall: 0.9808, relative_absolute_error: 0.1177, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1026, root_relative_squared_error: 0.2753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9798, kappa: 0.9747, kb_relative_information_score: 956580.2641, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9802, predictive_accuracy: 0.9798, prior_entropy: 2.585, recall: 0.9798, relative_absolute_error: 0.0707, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0868, root_relative_squared_error: 0.2329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9855, kappa: 0.9818, kb_relative_information_score: 979306.6505, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9855, predictive_accuracy: 0.9855, prior_entropy: 2.585, recall: 0.9855, relative_absolute_error: 0.0288, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0695, root_relative_squared_error: 0.1864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9815, kappa: 0.9769, kb_relative_information_score: 982569.1749, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9816, predictive_accuracy: 0.9815, prior_entropy: 2.585, recall: 0.9815, relative_absolute_error: 0.0213, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0693, root_relative_squared_error: 0.1858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9861, kappa: 0.9826, kb_relative_information_score: 984718.6499, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9861, predictive_accuracy: 0.9861, prior_entropy: 2.585, recall: 0.9861, relative_absolute_error: 0.0166, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.068, root_relative_squared_error: 0.1825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9861, kappa: 0.9827, kb_relative_information_score: 984721.9551, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9861, predictive_accuracy: 0.9861, prior_entropy: 2.585, recall: 0.9861, relative_absolute_error: 0.0166, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.068, root_relative_squared_error: 0.1824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9861, kappa: 0.9826, kb_relative_information_score: 984714.2428, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9861, predictive_accuracy: 0.9861, prior_entropy: 2.585, recall: 0.9861, relative_absolute_error: 0.0166, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.068, root_relative_squared_error: 0.1825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9862, kappa: 0.9827, kb_relative_information_score: 984770.4324, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9861, predictive_accuracy: 0.9862, prior_entropy: 2.585, recall: 0.9862, relative_absolute_error: 0.0166, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0679, root_relative_squared_error: 0.1821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9848, kappa: 0.981, kb_relative_information_score: 983263.2307, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9848, predictive_accuracy: 0.9848, prior_entropy: 2.585, recall: 0.9848, relative_absolute_error: 0.0182, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0712, root_relative_squared_error: 0.1909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9812, kappa: 0.9765, kb_relative_information_score: 979324.4544, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9813, predictive_accuracy: 0.9812, prior_entropy: 2.585, recall: 0.9812, relative_absolute_error: 0.0225, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0791, root_relative_squared_error: 0.2122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9861, kappa: 0.9827, kb_relative_information_score: 984719.7516, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9861, predictive_accuracy: 0.9861, prior_entropy: 2.585, recall: 0.9861, relative_absolute_error: 0.0166, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.068, root_relative_squared_error: 0.1824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.986, kappa: 0.9825, kb_relative_information_score: 984629.4077, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.986, predictive_accuracy: 0.986, prior_entropy: 2.585, recall: 0.986, relative_absolute_error: 0.0167, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0682, root_relative_squared_error: 0.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.986, kappa: 0.9826, kb_relative_information_score: 984648.1375, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.986, predictive_accuracy: 0.9861, prior_entropy: 2.585, recall: 0.9861, relative_absolute_error: 0.0167, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0682, root_relative_squared_error: 0.1829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.986, kappa: 0.9826, kb_relative_information_score: 984652.5445, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.986, predictive_accuracy: 0.9861, prior_entropy: 2.585, recall: 0.9861, relative_absolute_error: 0.0167, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0681, root_relative_squared_error: 0.1828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9291, kappa: 0.9125, kb_relative_information_score: 890918.1113, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9298, predictive_accuracy: 0.9301, prior_entropy: 2.585, recall: 0.9301, relative_absolute_error: 0.1568, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1347, root_relative_squared_error: 0.3614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9299, kappa: 0.9135, kb_relative_information_score: 891167.2735, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9307, predictive_accuracy: 0.9309, prior_entropy: 2.585, recall: 0.9309, relative_absolute_error: 0.1577, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1327, root_relative_squared_error: 0.3561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9328, kappa: 0.917, kb_relative_information_score: 891794.1946, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9336, predictive_accuracy: 0.9337, prior_entropy: 2.585, recall: 0.9337, relative_absolute_error: 0.1584, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1308, root_relative_squared_error: 0.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9358, kappa: 0.9207, kb_relative_information_score: 892129.3072, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9367, predictive_accuracy: 0.9367, prior_entropy: 2.585, recall: 0.9367, relative_absolute_error: 0.1598, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1291, root_relative_squared_error: 0.3465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9856, kappa: 0.982, kb_relative_information_score: 980464.8616, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 2.585, recall: 0.9856, relative_absolute_error: 0.0288, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0609, root_relative_squared_error: 0.1635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9862, kappa: 0.9827, kb_relative_information_score: 984770.4324, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9861, predictive_accuracy: 0.9862, prior_entropy: 2.585, recall: 0.9862, relative_absolute_error: 0.0166, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0679, root_relative_squared_error: 0.1821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9846, kappa: 0.9807, kb_relative_information_score: 983032.9638, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9846, predictive_accuracy: 0.9846, prior_entropy: 2.585, recall: 0.9846, relative_absolute_error: 0.0185, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0716, root_relative_squared_error: 0.1923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9839, kappa: 0.9798, kb_relative_information_score: 982247.412, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9839, predictive_accuracy: 0.9839, prior_entropy: 2.585, recall: 0.9839, relative_absolute_error: 0.0193, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0733, root_relative_squared_error: 0.1967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9861, kappa: 0.9826, kb_relative_information_score: 984656.9515, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.986, predictive_accuracy: 0.9861, prior_entropy: 2.585, recall: 0.9861, relative_absolute_error: 0.0167, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0681, root_relative_squared_error: 0.1828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9733, kappa: 0.9667, kb_relative_information_score: 848004.3596, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9746, predictive_accuracy: 0.9734, prior_entropy: 2.585, recall: 0.9734, relative_absolute_error: 0.257, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.4002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9839, kappa: 0.9799, kb_relative_information_score: 904587.2672, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.984, predictive_accuracy: 0.9839, prior_entropy: 2.585, recall: 0.9839, relative_absolute_error: 0.1698, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1072, root_relative_squared_error: 0.2876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9857, kappa: 0.9821, kb_relative_information_score: 939048.1407, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9857, predictive_accuracy: 0.9857, prior_entropy: 2.585, recall: 0.9857, relative_absolute_error: 0.1069, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.09, root_relative_squared_error: 0.2415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.986, kappa: 0.9825, kb_relative_information_score: 979382.1532, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.986, predictive_accuracy: 0.986, prior_entropy: 2.585, recall: 0.986, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0693, root_relative_squared_error: 0.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9861, kappa: 0.9826, kb_relative_information_score: 982593.1981, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9861, predictive_accuracy: 0.9861, prior_entropy: 2.585, recall: 0.9861, relative_absolute_error: 0.0213, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0692, root_relative_squared_error: 0.1857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9861, kappa: 0.9827, kb_relative_information_score: 984719.7516, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9861, predictive_accuracy: 0.9861, prior_entropy: 2.585, recall: 0.9861, relative_absolute_error: 0.0166, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.068, root_relative_squared_error: 0.1824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9733, kappa: 0.9667, kb_relative_information_score: 848004.3596, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9746, predictive_accuracy: 0.9734, prior_entropy: 2.585, recall: 0.9734, relative_absolute_error: 0.257, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.4002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9777, kappa: 0.972, kb_relative_information_score: 910533.2533, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9784, predictive_accuracy: 0.9776, prior_entropy: 2.585, recall: 0.9776, relative_absolute_error: 0.1553, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1164, root_relative_squared_error: 0.3123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9855, kappa: 0.9818, kb_relative_information_score: 979307.0373, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9855, predictive_accuracy: 0.9855, prior_entropy: 2.585, recall: 0.9855, relative_absolute_error: 0.0288, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0695, root_relative_squared_error: 0.1864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9815, kappa: 0.9769, kb_relative_information_score: 982569.5618, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9816, predictive_accuracy: 0.9815, prior_entropy: 2.585, recall: 0.9815, relative_absolute_error: 0.0213, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0693, root_relative_squared_error: 0.1858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9862, kappa: 0.9827, kb_relative_information_score: 984770.4324, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9861, predictive_accuracy: 0.9862, prior_entropy: 2.585, recall: 0.9862, relative_absolute_error: 0.0166, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0679, root_relative_squared_error: 0.1821,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9822, kappa: 0.9777, kb_relative_information_score: 980378.8346, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9822, predictive_accuracy: 0.9822, prior_entropy: 2.585, recall: 0.9822, relative_absolute_error: 0.0214, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.077, root_relative_squared_error: 0.2067,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9845, kappa: 0.9806, kb_relative_information_score: 975750.2464, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9845, predictive_accuracy: 0.9845, prior_entropy: 2.585, recall: 0.9845, relative_absolute_error: 0.037, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0638, root_relative_squared_error: 0.1712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9858, kappa: 0.9822, kb_relative_information_score: 977384.8185, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9858, predictive_accuracy: 0.9858, prior_entropy: 2.585, recall: 0.9858, relative_absolute_error: 0.0349, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0611, root_relative_squared_error: 0.164,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.3374, kappa: 0.3209, kb_relative_information_score: 399066.9669, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.263, predictive_accuracy: 0.4893, prior_entropy: 2.585, recall: 0.4893, relative_absolute_error: 0.7504, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.8664,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9459, kappa: 0.9325, kb_relative_information_score: 897557.1331, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9464, predictive_accuracy: 0.946, prior_entropy: 2.585, recall: 0.946, relative_absolute_error: 0.1601, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1225, root_relative_squared_error: 0.3288,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.3373, kappa: 0.3209, kb_relative_information_score: 403401.8468, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.2627, predictive_accuracy: 0.4894, prior_entropy: 2.585, recall: 0.4894, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.8589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9169, kappa: 0.8971, kb_relative_information_score: 876448.8835, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9169, predictive_accuracy: 0.9181, prior_entropy: 2.585, recall: 0.9181, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.142, root_relative_squared_error: 0.381,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9783, kappa: 0.9728, kb_relative_information_score: 972225.6097, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9783, predictive_accuracy: 0.9783, prior_entropy: 2.585, recall: 0.9783, relative_absolute_error: 0.0381, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.076, root_relative_squared_error: 0.2039,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6812, f_measure: 0.3667, kappa: 0.3287, kb_relative_information_score: 414414.696, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.3423, predictive_accuracy: 0.4685, prior_entropy: 2.585, recall: 0.4685, relative_absolute_error: 0.6378, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4209, root_relative_squared_error: 1.1294,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.7217, kappa: 0.6715, kb_relative_information_score: 691440.7921, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7434, predictive_accuracy: 0.7427, prior_entropy: 2.585, recall: 0.7427, relative_absolute_error: 0.3947, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.238, root_relative_squared_error: 0.6385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9862, kappa: 0.9827, kb_relative_information_score: 982754.7395, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9861, predictive_accuracy: 0.9862, prior_entropy: 2.585, recall: 0.9862, relative_absolute_error: 0.0243, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0592, root_relative_squared_error: 0.1587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9862, kappa: 0.9827, kb_relative_information_score: 984770.4324, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9861, predictive_accuracy: 0.9862, prior_entropy: 2.585, recall: 0.9862, relative_absolute_error: 0.0166, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0679, root_relative_squared_error: 0.1821,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
predictions The desired output format Predictions (optional)

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