Task
Supervised Data Stream Classification on BNG(sick,nominal,1000000)

Supervised Data Stream Classification on BNG(sick,nominal,1000000)

Task 171 Supervised Data Stream Classification BNG(sick,nominal,1000000) 50 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8508, f_measure: 0.9207, kappa: 0.1973, kb_relative_information_score: 800631.6918, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9145, predictive_accuracy: 0.9351, prior_entropy: 1, ram_hours: 0, recall: 0.9351, relative_absolute_error: 0.215, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.4532, run_cpu_time: 12.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.9196, kappa: 0.1492, kb_relative_information_score: 828600.0126, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9199, predictive_accuracy: 0.9398, prior_entropy: 1, ram_hours: 0, recall: 0.9398, relative_absolute_error: 0.1855, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.4357, run_cpu_time: 17.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9091, kb_relative_information_score: 877522, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8813, predictive_accuracy: 0.9388, prior_entropy: 1, ram_hours: 0, recall: 0.9388, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2475, root_relative_squared_error: 0.4949, run_cpu_time: 9.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.9196, kappa: 0.1492, kb_relative_information_score: 828600.0126, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9199, predictive_accuracy: 0.9398, prior_entropy: 1, ram_hours: 0, recall: 0.9398, relative_absolute_error: 0.1855, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.4357, run_cpu_time: 17.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, f_measure: 0.9105, kappa: 0.0196, kb_relative_information_score: 824302.9865, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9169, predictive_accuracy: 0.9389, prior_entropy: 1, ram_hours: 0, recall: 0.9389, relative_absolute_error: 0.1914, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.4555, run_cpu_time: 67.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, f_measure: 0.9158, kappa: 0.0978, kb_relative_information_score: 823223.3252, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9159, predictive_accuracy: 0.939, prior_entropy: 1, ram_hours: 0, recall: 0.939, relative_absolute_error: 0.1918, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.4404, run_cpu_time: 13.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, f_measure: 0.9093, kappa: 0.0038, kb_relative_information_score: 821285.6291, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9055, predictive_accuracy: 0.9387, prior_entropy: 1, ram_hours: 0, recall: 0.9387, relative_absolute_error: 0.1937, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2253, root_relative_squared_error: 0.4505, run_cpu_time: 563.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8798, f_measure: 0.9213, kappa: 0.17, kb_relative_information_score: 832615.4308, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9228, predictive_accuracy: 0.9407, prior_entropy: 1, ram_hours: 0.0059, recall: 0.9407, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.4298, run_cpu_time: 356.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8193, f_measure: 0.9094, kappa: 0.0043, kb_relative_information_score: 821290.2468, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.905, predictive_accuracy: 0.9387, prior_entropy: 1, ram_hours: 0.0015, recall: 0.9387, relative_absolute_error: 0.1937, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.4505, run_cpu_time: 8333.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.885, kappa: 0, kb_relative_information_score: 770048, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.885, predictive_accuracy: 0.885, prior_entropy: 1, ram_hours: 0, recall: 0.885, relative_absolute_error: 0.23, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.6782, run_cpu_time: 12.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5039, f_measure: 0.9102, kappa: 0.015, kb_relative_information_score: 877118, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9225, predictive_accuracy: 0.939, prior_entropy: 1, ram_hours: 0, recall: 0.939, relative_absolute_error: 0.1229, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2474, root_relative_squared_error: 0.4947, run_cpu_time: 13.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7736, f_measure: 0.9142, kappa: 0.2064, kb_relative_information_score: 677190.1388, mean_absolute_error: 0.1805, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9094, predictive_accuracy: 0.9199, prior_entropy: 1, ram_hours: 0.0068, recall: 0.9199, relative_absolute_error: 0.3609, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2651, root_relative_squared_error: 0.5303, run_cpu_time: 895.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9091, kb_relative_information_score: 876610, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8813, predictive_accuracy: 0.9388, prior_entropy: 1, ram_hours: 0.0033, recall: 0.9388, relative_absolute_error: 0.1234, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2479, root_relative_squared_error: 0.4958, run_cpu_time: 76.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5039, f_measure: 0.9102, kappa: 0.015, kb_relative_information_score: 822671.5848, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9225, predictive_accuracy: 0.939, prior_entropy: 1, ram_hours: 0, recall: 0.939, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.481, run_cpu_time: 9.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9091, kb_relative_information_score: 877522, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8813, predictive_accuracy: 0.9388, prior_entropy: 1, ram_hours: 0, recall: 0.9388, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2475, root_relative_squared_error: 0.4949, run_cpu_time: 9.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9091, kb_relative_information_score: 877522, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8813, predictive_accuracy: 0.9388, prior_entropy: 1, ram_hours: 0, recall: 0.9388, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2475, root_relative_squared_error: 0.4949, run_cpu_time: 12.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8761, f_measure: 0.9188, kappa: 0.1353, kb_relative_information_score: 828139.8914, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9219, predictive_accuracy: 0.9404, prior_entropy: 1, ram_hours: 0.0005, recall: 0.9404, relative_absolute_error: 0.1865, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.216, root_relative_squared_error: 0.432, run_cpu_time: 119.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5134, f_measure: 0.9092, kappa: 0.0431, kb_relative_information_score: 863034, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8945, predictive_accuracy: 0.9315, prior_entropy: 1, ram_hours: 0, recall: 0.9315, relative_absolute_error: 0.137, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2617, root_relative_squared_error: 0.5234, run_cpu_time: 8.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.9199, kappa: 0.1547, kb_relative_information_score: 828973.8837, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9196, predictive_accuracy: 0.9397, prior_entropy: 1, ram_hours: 0.0001, recall: 0.9397, relative_absolute_error: 0.1848, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.218, root_relative_squared_error: 0.436, run_cpu_time: 80.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9091, kb_relative_information_score: 819644.4824, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8813, predictive_accuracy: 0.9388, prior_entropy: 1, ram_hours: 0, recall: 0.9388, relative_absolute_error: 0.2006, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2408, root_relative_squared_error: 0.4816, run_cpu_time: 9.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5039, f_measure: 0.9102, kappa: 0.015, kb_relative_information_score: 877118, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9225, predictive_accuracy: 0.939, prior_entropy: 1, ram_hours: 0, recall: 0.939, relative_absolute_error: 0.1229, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2474, root_relative_squared_error: 0.4947, run_cpu_time: 11.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.9125, kappa: 0.0676, kb_relative_information_score: 818301.8246, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9033, predictive_accuracy: 0.9356, prior_entropy: 1, ram_hours: 0, recall: 0.9356, relative_absolute_error: 0.1952, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.4577, run_cpu_time: 14.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.922, kappa: 0.2181, kb_relative_information_score: 541994.2481, mean_absolute_error: 0.2564, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9162, predictive_accuracy: 0.9352, prior_entropy: 1, ram_hours: 0.0008, recall: 0.9352, relative_absolute_error: 0.5129, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.5988, run_cpu_time: 150.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.9091, kb_relative_information_score: 797861.8384, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8813, predictive_accuracy: 0.9388, prior_entropy: 1, ram_hours: 0, recall: 0.9388, relative_absolute_error: 0.2295, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.4795, run_cpu_time: 9.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.9189, kappa: 0.1359, kb_relative_information_score: 828176.1473, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9219, predictive_accuracy: 0.9404, prior_entropy: 1, ram_hours: 0.0006, recall: 0.9404, relative_absolute_error: 0.1864, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.216, root_relative_squared_error: 0.4319, run_cpu_time: 119.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8766, f_measure: 0.9196, kappa: 0.146, kb_relative_information_score: 828646.0024, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9223, predictive_accuracy: 0.9405, prior_entropy: 1, recall: 0.9405, relative_absolute_error: 0.186, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.4315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.9092, kappa: 0.0017, kb_relative_information_score: 821512.0944, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9151, predictive_accuracy: 0.9388, prior_entropy: 1, recall: 0.9388, relative_absolute_error: 0.1938, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.4482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, f_measure: 0.9206, kappa: 0.1974, kb_relative_information_score: 800608.6667, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9145, predictive_accuracy: 0.935, prior_entropy: 1, recall: 0.935, relative_absolute_error: 0.215, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.4531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5039, f_measure: 0.9102, kappa: 0.015, kb_relative_information_score: 822671.5848, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9225, predictive_accuracy: 0.939, prior_entropy: 1, recall: 0.939, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.9167, kappa: 0.1102, kb_relative_information_score: 826642.787, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9173, predictive_accuracy: 0.9392, prior_entropy: 1, recall: 0.9392, relative_absolute_error: 0.1877, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.4387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, f_measure: 0.9133, kappa: 0.0749, kb_relative_information_score: 836651.5958, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9058, predictive_accuracy: 0.9364, prior_entropy: 1, recall: 0.9364, relative_absolute_error: 0.1739, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.4654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9091, kb_relative_information_score: 877522, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8813, predictive_accuracy: 0.9388, prior_entropy: 1, recall: 0.9388, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2475, root_relative_squared_error: 0.4949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5626, f_measure: 0.914, kappa: 0.0758, kb_relative_information_score: 803791.2817, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9113, predictive_accuracy: 0.9381, prior_entropy: 1, recall: 0.9381, relative_absolute_error: 0.2213, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.4735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.9207, kappa: 0.1974, kb_relative_information_score: 800619.2787, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9145, predictive_accuracy: 0.9351, prior_entropy: 1, recall: 0.9351, relative_absolute_error: 0.215, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.4531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5048, f_measure: 0.9099, kappa: 0.0168, kb_relative_information_score: 875700.1223, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9, predictive_accuracy: 0.9378, prior_entropy: 1, recall: 0.9378, relative_absolute_error: 0.1243, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2493, root_relative_squared_error: 0.4986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9091, kb_relative_information_score: 819644.4824, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8813, predictive_accuracy: 0.9388, prior_entropy: 1, recall: 0.9388, relative_absolute_error: 0.2006, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2408, root_relative_squared_error: 0.4816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9091, kb_relative_information_score: 877522, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8813, predictive_accuracy: 0.9388, prior_entropy: 1, recall: 0.9388, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2475, root_relative_squared_error: 0.4949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8064, f_measure: 0.9162, kappa: 0.1581, kb_relative_information_score: 799793.2868, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9078, predictive_accuracy: 0.9306, prior_entropy: 1, recall: 0.9306, relative_absolute_error: 0.215, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2373, root_relative_squared_error: 0.4747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.9192, kappa: 0.1436, kb_relative_information_score: 827821.6931, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9197, predictive_accuracy: 0.9398, prior_entropy: 1, recall: 0.9398, relative_absolute_error: 0.1864, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.218, root_relative_squared_error: 0.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8109, f_measure: 0.914, kappa: 0.0748, kb_relative_information_score: 815953.2747, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9117, predictive_accuracy: 0.9382, prior_entropy: 1, recall: 0.9382, relative_absolute_error: 0.2034, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.4512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5021, f_measure: 0.9095, kappa: 0.0077, kb_relative_information_score: 877042, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9031, predictive_accuracy: 0.9385, prior_entropy: 1, recall: 0.9385, relative_absolute_error: 0.123, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.248, root_relative_squared_error: 0.4959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7603, f_measure: 0.9091, kb_relative_information_score: 808015.2284, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8813, predictive_accuracy: 0.9388, prior_entropy: 1, recall: 0.9388, relative_absolute_error: 0.2129, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.4614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5683, f_measure: 0.9105, kappa: 0.051, kb_relative_information_score: 856791.5759, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8976, predictive_accuracy: 0.9335, prior_entropy: 1, recall: 0.9335, relative_absolute_error: 0.1451, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2503, root_relative_squared_error: 0.5007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7858, f_measure: 0.9133, kappa: 0.0753, kb_relative_information_score: 836643.9661, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9058, predictive_accuracy: 0.9364, prior_entropy: 1, recall: 0.9364, relative_absolute_error: 0.1739, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.4654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9091, kb_relative_information_score: 877522, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8813, predictive_accuracy: 0.9388, prior_entropy: 1, recall: 0.9388, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2475, root_relative_squared_error: 0.4949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.9122, kappa: 0.0447, kb_relative_information_score: 820327.9018, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9133, predictive_accuracy: 0.9388, prior_entropy: 1, recall: 0.9388, relative_absolute_error: 0.1964, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.4452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.9091, kb_relative_information_score: 808861.3526, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8813, predictive_accuracy: 0.9388, prior_entropy: 1, recall: 0.9388, relative_absolute_error: 0.2115, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2302, root_relative_squared_error: 0.4605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.701, f_measure: 0.9091, kb_relative_information_score: 770805.4862, mean_absolute_error: 0.1301, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8813, predictive_accuracy: 0.9388, prior_entropy: 1, recall: 0.9388, relative_absolute_error: 0.2603, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2397, root_relative_squared_error: 0.4793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9091, kb_relative_information_score: 877522, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8813, predictive_accuracy: 0.9388, prior_entropy: 1, recall: 0.9388, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2475, root_relative_squared_error: 0.4949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9091, kb_relative_information_score: 877522, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8813, predictive_accuracy: 0.9388, prior_entropy: 1, recall: 0.9388, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2475, root_relative_squared_error: 0.4949,

    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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