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

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

Task 126 Supervised Data Stream Classification BNG(lymph,nominal,1000000) 45 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

45 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.8903, kappa: 0.7949, kb_relative_information_score: 462490.4239, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8904, predictive_accuracy: 0.8911, prior_entropy: 2, recall: 0.8911, relative_absolute_error: 0.6963, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.7498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, f_measure: 0.3834, kappa: 0.0009, kb_relative_information_score: 444910.9947, mean_absolute_error: 0.2312, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.3103, predictive_accuracy: 0.5438, prior_entropy: 2, recall: 0.5438, relative_absolute_error: 0.6165, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4728, root_relative_squared_error: 1.0919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.8767, kappa: 0.7701, kb_relative_information_score: 822876.6922, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 2, recall: 0.8769, relative_absolute_error: 0.2248, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.212, root_relative_squared_error: 0.4897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.8959, kappa: 0.8053, kb_relative_information_score: 840896.5158, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8959, predictive_accuracy: 0.8964, prior_entropy: 2, recall: 0.8964, relative_absolute_error: 0.2059, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.196, root_relative_squared_error: 0.4527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0005, kb_relative_information_score: -187530.6918, mean_absolute_error: 0.4917, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.0003, predictive_accuracy: 0.0166, prior_entropy: 2, recall: 0.0166, relative_absolute_error: 1.3113, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.6194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3828, kappa: 0.0001, kb_relative_information_score: 448801.4253, mean_absolute_error: 0.2282, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.3101, predictive_accuracy: 0.5435, prior_entropy: 2, recall: 0.5435, relative_absolute_error: 0.6086, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4777, root_relative_squared_error: 1.1033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3828, kappa: 0, kb_relative_information_score: 448782.181, mean_absolute_error: 0.2282, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.2954, predictive_accuracy: 0.5435, prior_entropy: 2, recall: 0.5435, relative_absolute_error: 0.6087, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4777, root_relative_squared_error: 1.1033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.8984, kappa: 0.8101, kb_relative_information_score: 824668.4256, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8983, predictive_accuracy: 0.8991, prior_entropy: 2, recall: 0.8991, relative_absolute_error: 0.2357, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.4532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.8821, kappa: 0.7842, kb_relative_information_score: 815561.2467, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8828, predictive_accuracy: 0.886, prior_entropy: 2, recall: 0.886, relative_absolute_error: 0.2408, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.4779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.756, f_measure: 0.712, kappa: 0.4789, kb_relative_information_score: 568738.6399, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.7067, predictive_accuracy: 0.7265, prior_entropy: 2, recall: 0.7265, relative_absolute_error: 0.5359, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.7097, kappa: 0.474, kb_relative_information_score: 669045.2496, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.7029, predictive_accuracy: 0.7244, prior_entropy: 2, recall: 0.7244, relative_absolute_error: 0.3673, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.8469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.8596, kappa: 0.7399, kb_relative_information_score: 773277.6365, mean_absolute_error: 0.1117, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.861, predictive_accuracy: 0.8632, prior_entropy: 2, recall: 0.8632, relative_absolute_error: 0.298, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.5166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.8352, kappa: 0.6937, kb_relative_information_score: 805577.0963, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8359, predictive_accuracy: 0.8378, prior_entropy: 2, recall: 0.8378, relative_absolute_error: 0.2206, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.2716, root_relative_squared_error: 0.6272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.8441, kappa: 0.7082, kb_relative_information_score: 773400.7536, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8473, predictive_accuracy: 0.8434, prior_entropy: 2, recall: 0.8434, relative_absolute_error: 0.2764, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.2581, root_relative_squared_error: 0.5962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.8724, kappa: 0.7616, kb_relative_information_score: 815113.7204, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8751, predictive_accuracy: 0.8725, prior_entropy: 2, recall: 0.8725, relative_absolute_error: 0.2342, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.4981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7886, f_measure: 0.7121, kappa: 0.4794, kb_relative_information_score: 585860.647, mean_absolute_error: 0.1951, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.7061, predictive_accuracy: 0.727, prior_entropy: 2, recall: 0.727, relative_absolute_error: 0.5201, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.3124, root_relative_squared_error: 0.7215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9033, kappa: 0.8194, kb_relative_information_score: 855345.5353, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.9033, predictive_accuracy: 0.9036, prior_entropy: 2, recall: 0.9036, relative_absolute_error: 0.1854, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.4416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0005, kb_relative_information_score: -187530.6918, mean_absolute_error: 0.4917, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.0003, predictive_accuracy: 0.0166, prior_entropy: 2, recall: 0.0166, relative_absolute_error: 1.3113, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.6194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8697, f_measure: 0.8397, kappa: 0.7032, kb_relative_information_score: 768354.5077, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8386, predictive_accuracy: 0.8444, prior_entropy: 2, recall: 0.8444, relative_absolute_error: 0.2845, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.2606, root_relative_squared_error: 0.6018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0005, kb_relative_information_score: -187530.6918, mean_absolute_error: 0.4917, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.0003, predictive_accuracy: 0.0166, prior_entropy: 2, ram_hours: 0, recall: 0.0166, relative_absolute_error: 1.3113, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.6194, run_cpu_time: 9.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.8456, kappa: 0.7126, kb_relative_information_score: 767002.8598, mean_absolute_error: 0.1112, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8461, predictive_accuracy: 0.8491, prior_entropy: 2, ram_hours: 0, recall: 0.8491, relative_absolute_error: 0.2965, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.2372, root_relative_squared_error: 0.5478, run_cpu_time: 18.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.8818, kappa: 0.7785, kb_relative_information_score: 461509.6784, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8823, predictive_accuracy: 0.8819, prior_entropy: 2, ram_hours: 0, recall: 0.8819, relative_absolute_error: 0.6962, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.3287, root_relative_squared_error: 0.759, run_cpu_time: 12.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.8836, kappa: 0.7824, kb_relative_information_score: 763359.1027, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8836, predictive_accuracy: 0.8842, prior_entropy: 2, ram_hours: 0.0165, recall: 0.8842, relative_absolute_error: 0.3268, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.218, root_relative_squared_error: 0.5035, run_cpu_time: 480.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.4645, kappa: -0.0004, kb_relative_information_score: 353391.8224, mean_absolute_error: 0.2677, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.4645, predictive_accuracy: 0.4645, prior_entropy: 2, ram_hours: 0, recall: 0.4645, relative_absolute_error: 0.714, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.5174, root_relative_squared_error: 1.195, run_cpu_time: 7.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7463, f_measure: 0.7119, kappa: 0.4789, kb_relative_information_score: 669891.9723, mean_absolute_error: 0.1367, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.7067, predictive_accuracy: 0.7265, prior_entropy: 2, ram_hours: 0, recall: 0.7265, relative_absolute_error: 0.3644, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.8531, run_cpu_time: 7.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9082, kappa: 0.8286, kb_relative_information_score: 856429.7705, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.9083, predictive_accuracy: 0.9087, prior_entropy: 2, ram_hours: 0.0003, recall: 0.9087, relative_absolute_error: 0.1876, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.4244, run_cpu_time: 149.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8697, f_measure: 0.8397, kappa: 0.7032, kb_relative_information_score: 768354.5077, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8386, predictive_accuracy: 0.8444, prior_entropy: 2, ram_hours: 0, recall: 0.8444, relative_absolute_error: 0.2845, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.2606, root_relative_squared_error: 0.6018, run_cpu_time: 9.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.7486, kappa: 0.5293, kb_relative_information_score: 620712.8019, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.7499, predictive_accuracy: 0.7514, prior_entropy: 2, ram_hours: 0, recall: 0.7514, relative_absolute_error: 0.4763, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.294, root_relative_squared_error: 0.679, run_cpu_time: 67.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3828, kappa: -0, kb_relative_information_score: 442266.1077, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.4072, predictive_accuracy: 0.5435, prior_entropy: 2, ram_hours: 0, recall: 0.5435, relative_absolute_error: 0.7134, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.8448, run_cpu_time: 10.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3828, kappa: 0, kb_relative_information_score: 448782.181, mean_absolute_error: 0.2282, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.2954, predictive_accuracy: 0.5435, prior_entropy: 2, ram_hours: 0, recall: 0.5435, relative_absolute_error: 0.6087, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4777, root_relative_squared_error: 1.1033, run_cpu_time: 6.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9081, kappa: 0.8283, kb_relative_information_score: 857303.5234, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.9082, predictive_accuracy: 0.9085, prior_entropy: 2, ram_hours: 0.0002, recall: 0.9085, relative_absolute_error: 0.1859, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.184, root_relative_squared_error: 0.425, run_cpu_time: 93.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0005, kb_relative_information_score: -187343.7008, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.0003, predictive_accuracy: 0.0166, prior_entropy: 2, ram_hours: 0.0023, recall: 0.0166, relative_absolute_error: 1.311, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.701, root_relative_squared_error: 1.6189, run_cpu_time: 75.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, f_measure: 0.7807, kappa: 0.595, kb_relative_information_score: 682944.8954, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.7768, predictive_accuracy: 0.7885, prior_entropy: 2, ram_hours: 0, recall: 0.7885, relative_absolute_error: 0.386, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.2921, root_relative_squared_error: 0.6745, run_cpu_time: 9.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0005, kb_relative_information_score: -187530.6918, mean_absolute_error: 0.4917, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.0003, predictive_accuracy: 0.0166, prior_entropy: 2, ram_hours: 0, recall: 0.0166, relative_absolute_error: 1.3113, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.6194, run_cpu_time: 7.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.9027, kappa: 0.8183, kb_relative_information_score: 855387.1427, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.9027, predictive_accuracy: 0.9031, prior_entropy: 2, ram_hours: 0, recall: 0.9031, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.4432, run_cpu_time: 38.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.9035, kappa: 0.8199, kb_relative_information_score: 856287.3673, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.9036, predictive_accuracy: 0.9039, prior_entropy: 2, ram_hours: 0, recall: 0.9039, relative_absolute_error: 0.1841, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.4402, run_cpu_time: 19.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.8755, kappa: 0.7674, kb_relative_information_score: 821486.973, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8764, predictive_accuracy: 0.8754, prior_entropy: 2, ram_hours: 0, recall: 0.8754, relative_absolute_error: 0.2256, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.4921, run_cpu_time: 17.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9105, kappa: 0.8329, kb_relative_information_score: 740745.6201, mean_absolute_error: 0.1409, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.9105, predictive_accuracy: 0.9109, prior_entropy: 2, ram_hours: 0.0002, recall: 0.9109, relative_absolute_error: 0.3758, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.219, root_relative_squared_error: 0.5059, run_cpu_time: 97.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.8554, kappa: 0.7388, kb_relative_information_score: 776740.2347, mean_absolute_error: 0.1115, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8683, predictive_accuracy: 0.8654, prior_entropy: 2, ram_hours: 0.001, recall: 0.8654, relative_absolute_error: 0.2974, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.519, run_cpu_time: 6767.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.8554, kappa: 0.7388, kb_relative_information_score: 776740.2347, mean_absolute_error: 0.1115, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8683, predictive_accuracy: 0.8654, prior_entropy: 2, ram_hours: 0.001, recall: 0.8654, relative_absolute_error: 0.2974, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.519, run_cpu_time: 6864.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.8546, kappa: 0.7372, kb_relative_information_score: 776712.5113, mean_absolute_error: 0.1115, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8678, predictive_accuracy: 0.8647, prior_entropy: 2, ram_hours: 0, recall: 0.8647, relative_absolute_error: 0.2974, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.5191, run_cpu_time: 424.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9116, kappa: 0.8349, kb_relative_information_score: 862805.0093, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.9116, predictive_accuracy: 0.9121, prior_entropy: 2, ram_hours: 0.0031, recall: 0.9121, relative_absolute_error: 0.1786, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.4174, run_cpu_time: 224.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.8767, kappa: 0.7701, kb_relative_information_score: 822838.9375, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8784, predictive_accuracy: 0.8768, prior_entropy: 2, ram_hours: 0, recall: 0.8768, relative_absolute_error: 0.2248, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.4897, run_cpu_time: 17.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3828, kappa: 0.0001, kb_relative_information_score: 448801.5013, mean_absolute_error: 0.2282, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.3101, predictive_accuracy: 0.5435, prior_entropy: 2, ram_hours: 0, recall: 0.5435, relative_absolute_error: 0.6086, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4777, root_relative_squared_error: 1.1033, run_cpu_time: 7.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.9035, kappa: 0.8199, kb_relative_information_score: 856287.3673, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.9036, predictive_accuracy: 0.9039, prior_entropy: 2, ram_hours: 0, recall: 0.9039, relative_absolute_error: 0.1841, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.4402, run_cpu_time: 19.56,

    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)

    How to submit runs

    Using your favorite machine learning environment

    Download this task directly in your environment and automatically upload your results

    OpenML bootcamp

    From your own software

    Use one of our APIs to download data from OpenML and upload your results

    OpenML APIs