Task
Supervised Data Stream Classification on BNG(mushroom)

Supervised Data Stream Classification on BNG(mushroom)

Task 160 Supervised Data Stream Classification BNG(mushroom) 304 runs submitted
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  • binstreams ecmlpkdd2015 streamensembles streams streams-full study_11 study_16
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.989, kappa: 0.9779, kb_relative_information_score: 977950, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.989, predictive_accuracy: 0.989, prior_entropy: 1, recall: 0.989, relative_absolute_error: 0.0221, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.105, root_relative_squared_error: 0.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.989, kappa: 0.9779, kb_relative_information_score: 977946, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.989, predictive_accuracy: 0.989, prior_entropy: 1, recall: 0.989, relative_absolute_error: 0.0221, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.105, root_relative_squared_error: 0.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9847, kappa: 0.9693, kb_relative_information_score: 969380, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 1, recall: 0.9847, relative_absolute_error: 0.0306, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1237, root_relative_squared_error: 0.2475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.9422, kappa: 0.8843, kb_relative_information_score: 884746, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9441, predictive_accuracy: 0.9424, prior_entropy: 1, recall: 0.9424, relative_absolute_error: 0.1153, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2401, root_relative_squared_error: 0.4801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.9203, kappa: 0.8405, kb_relative_information_score: 841304, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9244, predictive_accuracy: 0.9207, prior_entropy: 1, recall: 0.9207, relative_absolute_error: 0.1587, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2817, root_relative_squared_error: 0.5634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9889, kappa: 0.9779, kb_relative_information_score: 977892, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 1, recall: 0.9889, relative_absolute_error: 0.0221, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1051, root_relative_squared_error: 0.2103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.989, kappa: 0.9779, kb_relative_information_score: 977936, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.989, predictive_accuracy: 0.989, prior_entropy: 1, recall: 0.989, relative_absolute_error: 0.0221, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.105, root_relative_squared_error: 0.2101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.989, kappa: 0.9779, kb_relative_information_score: 977942, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.989, predictive_accuracy: 0.989, prior_entropy: 1, recall: 0.989, relative_absolute_error: 0.0221, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.105, root_relative_squared_error: 0.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.989, kappa: 0.9779, kb_relative_information_score: 977938, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.989, predictive_accuracy: 0.989, prior_entropy: 1, recall: 0.989, relative_absolute_error: 0.0221, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.105, root_relative_squared_error: 0.2101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9889, kappa: 0.9779, kb_relative_information_score: 977892, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 1, recall: 0.9889, relative_absolute_error: 0.0221, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1051, root_relative_squared_error: 0.2103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.989, kappa: 0.9779, kb_relative_information_score: 977948, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.989, predictive_accuracy: 0.989, prior_entropy: 1, recall: 0.989, relative_absolute_error: 0.0221, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.105, root_relative_squared_error: 0.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.989, kappa: 0.9779, kb_relative_information_score: 977946, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.989, predictive_accuracy: 0.989, prior_entropy: 1, recall: 0.989, relative_absolute_error: 0.0221, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.105, root_relative_squared_error: 0.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9882, kappa: 0.9764, kb_relative_information_score: 976396, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9882, predictive_accuracy: 0.9882, prior_entropy: 1, recall: 0.9882, relative_absolute_error: 0.0236, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.2173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9805, kappa: 0.9609, kb_relative_information_score: 960940, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9805, predictive_accuracy: 0.9805, prior_entropy: 1, recall: 0.9805, relative_absolute_error: 0.0391, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1398, root_relative_squared_error: 0.2795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.989, kappa: 0.978, kb_relative_information_score: 977994, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.989, predictive_accuracy: 0.989, prior_entropy: 1, recall: 0.989, relative_absolute_error: 0.022, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.2098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.989, kappa: 0.978, kb_relative_information_score: 977990, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.989, predictive_accuracy: 0.989, prior_entropy: 1, recall: 0.989, relative_absolute_error: 0.022, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.2098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9761, kappa: 0.9521, kb_relative_information_score: 952220, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9762, predictive_accuracy: 0.9761, prior_entropy: 1, recall: 0.9761, relative_absolute_error: 0.0478, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1546, root_relative_squared_error: 0.3091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9641, kappa: 0.9281, kb_relative_information_score: 928174, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9641, predictive_accuracy: 0.9641, prior_entropy: 1, recall: 0.9641, relative_absolute_error: 0.0718, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.989, kappa: 0.978, kb_relative_information_score: 977998, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.989, predictive_accuracy: 0.989, prior_entropy: 1, recall: 0.989, relative_absolute_error: 0.022, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.2098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9687, kappa: 0.9373, kb_relative_information_score: 937454, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9688, predictive_accuracy: 0.9687, prior_entropy: 1, recall: 0.9687, relative_absolute_error: 0.0625, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.3537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9813, kappa: 0.9626, kb_relative_information_score: 962660, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9813, predictive_accuracy: 0.9813, prior_entropy: 1, recall: 0.9813, relative_absolute_error: 0.0373, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1366, root_relative_squared_error: 0.2733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9818, kappa: 0.9635, kb_relative_information_score: 963516, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9818, predictive_accuracy: 0.9818, prior_entropy: 1, recall: 0.9818, relative_absolute_error: 0.0365, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1351, root_relative_squared_error: 0.2701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9845, kappa: 0.969, kb_relative_information_score: 969032, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9845, predictive_accuracy: 0.9845, prior_entropy: 1, recall: 0.9845, relative_absolute_error: 0.031, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1244, root_relative_squared_error: 0.2489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.927, kappa: 0.8539, kb_relative_information_score: 854730, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9324, predictive_accuracy: 0.9274, prior_entropy: 1, recall: 0.9274, relative_absolute_error: 0.1453, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2695, root_relative_squared_error: 0.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9752, kappa: 0.9503, kb_relative_information_score: 950452, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9754, predictive_accuracy: 0.9752, prior_entropy: 1, recall: 0.9752, relative_absolute_error: 0.0495, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.3148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9855, kappa: 0.971, kb_relative_information_score: 971020, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9855, predictive_accuracy: 0.9855, prior_entropy: 1, recall: 0.9855, relative_absolute_error: 0.029, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1204, root_relative_squared_error: 0.2407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.927, kappa: 0.8539, kb_relative_information_score: 854726, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9324, predictive_accuracy: 0.9274, prior_entropy: 1, recall: 0.9274, relative_absolute_error: 0.1453, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2695, root_relative_squared_error: 0.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.927, kappa: 0.8539, kb_relative_information_score: 854726, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9324, predictive_accuracy: 0.9274, prior_entropy: 1, recall: 0.9274, relative_absolute_error: 0.1453, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2695, root_relative_squared_error: 0.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.927, kappa: 0.8539, kb_relative_information_score: 854732, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9324, predictive_accuracy: 0.9274, prior_entropy: 1, recall: 0.9274, relative_absolute_error: 0.1453, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2695, root_relative_squared_error: 0.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9506, f_measure: 0.9513, kappa: 0.9024, kb_relative_information_score: 902630, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9517, predictive_accuracy: 0.9513, prior_entropy: 1, recall: 0.9513, relative_absolute_error: 0.0974, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.4413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9888, kappa: 0.9776, kb_relative_information_score: 977668, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9888, predictive_accuracy: 0.9888, prior_entropy: 1, recall: 0.9888, relative_absolute_error: 0.0223, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1057, root_relative_squared_error: 0.2113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.989, kappa: 0.9779, kb_relative_information_score: 977954, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.989, predictive_accuracy: 0.989, prior_entropy: 1, recall: 0.989, relative_absolute_error: 0.022, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.105, root_relative_squared_error: 0.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9889, kappa: 0.9778, kb_relative_information_score: 977790, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 1, recall: 0.9889, relative_absolute_error: 0.0222, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1054, root_relative_squared_error: 0.2108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9888, kappa: 0.9775, kb_relative_information_score: 977530, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9888, predictive_accuracy: 0.9888, prior_entropy: 1, recall: 0.9888, relative_absolute_error: 0.0225, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.106, root_relative_squared_error: 0.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.989, kappa: 0.978, kb_relative_information_score: 977990, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.989, predictive_accuracy: 0.989, prior_entropy: 1, recall: 0.989, relative_absolute_error: 0.022, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.2098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.989, kappa: 0.9779, kb_relative_information_score: 977946, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.989, predictive_accuracy: 0.989, prior_entropy: 1, recall: 0.989, relative_absolute_error: 0.0221, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.105, root_relative_squared_error: 0.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.989, kappa: 0.9779, kb_relative_information_score: 953679.9829, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.989, predictive_accuracy: 0.989, prior_entropy: 1, recall: 0.989, relative_absolute_error: 0.0465, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.119, root_relative_squared_error: 0.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9823, kappa: 0.9645, kb_relative_information_score: 941869.7139, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9824, predictive_accuracy: 0.9823, prior_entropy: 1, recall: 0.9823, relative_absolute_error: 0.0614, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1245, root_relative_squared_error: 0.2489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9843, kappa: 0.9685, kb_relative_information_score: 926227.1153, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9843, predictive_accuracy: 0.9843, prior_entropy: 1, recall: 0.9843, relative_absolute_error: 0.0792, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1345, root_relative_squared_error: 0.2689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9736, kappa: 0.9471, kb_relative_information_score: 911504.3914, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.974, predictive_accuracy: 0.9736, prior_entropy: 1, recall: 0.9736, relative_absolute_error: 0.0956, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.145, root_relative_squared_error: 0.2899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9761, kappa: 0.952, kb_relative_information_score: 893096.2407, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9764, predictive_accuracy: 0.9761, prior_entropy: 1, recall: 0.9761, relative_absolute_error: 0.1184, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.3045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9691, kappa: 0.938, kb_relative_information_score: 846234.8528, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.97, predictive_accuracy: 0.9691, prior_entropy: 1, recall: 0.9691, relative_absolute_error: 0.1771, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9691, kappa: 0.938, kb_relative_information_score: 819359.5837, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.97, predictive_accuracy: 0.9691, prior_entropy: 1, recall: 0.9691, relative_absolute_error: 0.2083, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9648, kappa: 0.9294, kb_relative_information_score: 889113.735, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9663, predictive_accuracy: 0.9648, prior_entropy: 1, recall: 0.9648, relative_absolute_error: 0.1226, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1555, root_relative_squared_error: 0.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9736, kappa: 0.9471, kb_relative_information_score: 910006.5469, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.974, predictive_accuracy: 0.9736, prior_entropy: 1, recall: 0.9736, relative_absolute_error: 0.097, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1467, root_relative_squared_error: 0.2934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9707, kappa: 0.9412, kb_relative_information_score: 925232.9624, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9717, predictive_accuracy: 0.9707, prior_entropy: 1, recall: 0.9707, relative_absolute_error: 0.0802, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.2713,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9748, kappa: 0.9495, kb_relative_information_score: 953239, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9756, predictive_accuracy: 0.9748, prior_entropy: 1, recall: 0.9748, relative_absolute_error: 0.0468, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1196, root_relative_squared_error: 0.2393,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.989, kappa: 0.978, kb_relative_information_score: 977994, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.989, predictive_accuracy: 0.989, prior_entropy: 1, recall: 0.989, relative_absolute_error: 0.022, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.2098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.989, kappa: 0.978, kb_relative_information_score: 972468.1674, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.989, predictive_accuracy: 0.989, prior_entropy: 1, recall: 0.989, relative_absolute_error: 0.0293, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.1886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9812, kappa: 0.9623, kb_relative_information_score: 962350.3397, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9816, predictive_accuracy: 0.9812, prior_entropy: 1, recall: 0.9812, relative_absolute_error: 0.0377, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.2722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9747, kappa: 0.9492, kb_relative_information_score: 946392.6226, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9755, predictive_accuracy: 0.9747, prior_entropy: 1, recall: 0.9747, relative_absolute_error: 0.0546, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1531, root_relative_squared_error: 0.3062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.971, kappa: 0.9418, kb_relative_information_score: 941994, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9719, predictive_accuracy: 0.971, prior_entropy: 1, recall: 0.971, relative_absolute_error: 0.058, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.3406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9754, kappa: 0.9508, kb_relative_information_score: 949032.9037, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9761, predictive_accuracy: 0.9755, prior_entropy: 1, recall: 0.9755, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1443, root_relative_squared_error: 0.2885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9736, kappa: 0.9472, kb_relative_information_score: 947344, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9746, predictive_accuracy: 0.9737, prior_entropy: 1, recall: 0.9737, relative_absolute_error: 0.0527, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.3245,

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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