Task
Supervised Data Stream Classification on BNG(spambase)

Supervised Data Stream Classification on BNG(spambase)

Task 175 Supervised Data Stream Classification BNG(spambase) 214 runs submitted
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  • binstreams ecmlpkdd2015 streamensembles streams streams-full study_11
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6678, f_measure: 0.5976, kappa: 0.1937, kb_relative_information_score: 201237.5047, mean_absolute_error: 0.4066, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7116, predictive_accuracy: 0.6656, prior_entropy: 1, ram_hours: 0.0359, recall: 0.6656, relative_absolute_error: 0.8132, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.452, root_relative_squared_error: 0.9039, run_cpu_time: 1310.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.5947, kappa: 0.1905, kb_relative_information_score: 191289.9374, mean_absolute_error: 0.4114, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7167, predictive_accuracy: 0.6652, prior_entropy: 1, ram_hours: 0, recall: 0.6652, relative_absolute_error: 0.8228, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4531, root_relative_squared_error: 0.9062, run_cpu_time: 25.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5762, f_measure: 0.5138, kappa: 0.0688, kb_relative_information_score: 104754.8957, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6744, predictive_accuracy: 0.6256, prior_entropy: 1, ram_hours: 0.0002, recall: 0.6256, relative_absolute_error: 0.9087, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4768, root_relative_squared_error: 0.9535, run_cpu_time: 1097.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.5216, kappa: -0.0019, kb_relative_information_score: 43120, mean_absolute_error: 0.4784, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.5216, predictive_accuracy: 0.5216, prior_entropy: 1, ram_hours: 0, recall: 0.5216, relative_absolute_error: 0.9569, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6917, root_relative_squared_error: 1.3834, run_cpu_time: 25.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6656, f_measure: 0.6091, kappa: 0.1861, kb_relative_information_score: 132114.8245, mean_absolute_error: 0.4399, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6401, predictive_accuracy: 0.6482, prior_entropy: 1, ram_hours: 0.0028, recall: 0.6482, relative_absolute_error: 0.8798, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.9232, run_cpu_time: 415.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5731, f_measure: 0.5854, kappa: 0.1678, kb_relative_information_score: 308526, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6826, predictive_accuracy: 0.6544, prior_entropy: 1, ram_hours: 0, recall: 0.6544, relative_absolute_error: 0.6915, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5878, root_relative_squared_error: 1.1756, run_cpu_time: 26.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6609, f_measure: 0.5925, kappa: 0.1857, kb_relative_information_score: 195092.7675, mean_absolute_error: 0.4098, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7104, predictive_accuracy: 0.663, prior_entropy: 1, ram_hours: 0, recall: 0.663, relative_absolute_error: 0.8196, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9079, run_cpu_time: 40.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5049, f_measure: 0.4683, kappa: 0.0119, kb_relative_information_score: 218026, mean_absolute_error: 0.391, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6438, predictive_accuracy: 0.609, prior_entropy: 1, ram_hours: 0, recall: 0.609, relative_absolute_error: 0.782, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6253, root_relative_squared_error: 1.2506, run_cpu_time: 22.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5764, f_measure: 0.5141, kappa: 0.0691, kb_relative_information_score: 104786.9058, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6738, predictive_accuracy: 0.6256, prior_entropy: 1, ram_hours: 0.0058, recall: 0.6256, relative_absolute_error: 0.9087, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9534, run_cpu_time: 24111.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6674, f_measure: 0.5958, kappa: 0.1919, kb_relative_information_score: 197706.8396, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.716, predictive_accuracy: 0.6655, prior_entropy: 1, ram_hours: 0.0025, recall: 0.6655, relative_absolute_error: 0.8178, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9038, run_cpu_time: 331.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6609, f_measure: 0.5925, kappa: 0.1857, kb_relative_information_score: 195092.7675, mean_absolute_error: 0.4098, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7104, predictive_accuracy: 0.663, prior_entropy: 1, ram_hours: 0, recall: 0.663, relative_absolute_error: 0.8196, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9079, run_cpu_time: 45.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4573, kb_relative_information_score: 211896, mean_absolute_error: 0.3941, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.3672, predictive_accuracy: 0.6059, prior_entropy: 1, ram_hours: 0, recall: 0.6059, relative_absolute_error: 0.7881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6277, root_relative_squared_error: 1.2555, run_cpu_time: 26.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6395, f_measure: 0.5713, kappa: 0.1541, kb_relative_information_score: 167644.0619, mean_absolute_error: 0.424, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7099, predictive_accuracy: 0.6533, prior_entropy: 1, ram_hours: 0, recall: 0.6533, relative_absolute_error: 0.8479, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4603, root_relative_squared_error: 0.9205, run_cpu_time: 47.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.4573, kappa: -0, kb_relative_information_score: 58951.9755, mean_absolute_error: 0.4775, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.446, predictive_accuracy: 0.6059, prior_entropy: 1, ram_hours: 0, recall: 0.6059, relative_absolute_error: 0.9549, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4887, root_relative_squared_error: 0.9773, run_cpu_time: 22.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6674, f_measure: 0.5959, kappa: 0.1921, kb_relative_information_score: 197318.9719, mean_absolute_error: 0.4091, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7162, predictive_accuracy: 0.6656, prior_entropy: 1, ram_hours: 0.0029, recall: 0.6656, relative_absolute_error: 0.8183, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9038, run_cpu_time: 403.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6569, f_measure: 0.5887, kappa: 0.179, kb_relative_information_score: 190018.0578, mean_absolute_error: 0.4123, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7069, predictive_accuracy: 0.6606, prior_entropy: 1, ram_hours: 0.0008, recall: 0.6606, relative_absolute_error: 0.8245, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4556, root_relative_squared_error: 0.9113, run_cpu_time: 1081.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.57, f_measure: 0.5787, kappa: 0.1602, kb_relative_information_score: 132523.453, mean_absolute_error: 0.4442, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6902, predictive_accuracy: 0.6532, prior_entropy: 1, ram_hours: 0, recall: 0.6532, relative_absolute_error: 0.8885, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4768, root_relative_squared_error: 0.9535, run_cpu_time: 23.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6494, f_measure: 0.5817, kappa: 0.167, kb_relative_information_score: 177948.9606, mean_absolute_error: 0.4184, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7003, predictive_accuracy: 0.6563, prior_entropy: 1, ram_hours: 0, recall: 0.6563, relative_absolute_error: 0.8369, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4581, root_relative_squared_error: 0.9162, run_cpu_time: 35.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.517, f_measure: 0.4961, kappa: 0.0404, kb_relative_information_score: 230622, mean_absolute_error: 0.3847, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6277, predictive_accuracy: 0.6154, prior_entropy: 1, ram_hours: 0, recall: 0.6154, relative_absolute_error: 0.7694, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.62, root_relative_squared_error: 1.2401, run_cpu_time: 21.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4573, kb_relative_information_score: 211716, mean_absolute_error: 0.3941, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.3672, predictive_accuracy: 0.6059, prior_entropy: 1, ram_hours: 0.0066, recall: 0.6059, relative_absolute_error: 0.7883, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6276, root_relative_squared_error: 1.2552, run_cpu_time: 83.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.57, f_measure: 0.5805, kappa: 0.1615, kb_relative_information_score: 305848, mean_absolute_error: 0.3471, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6853, predictive_accuracy: 0.6529, prior_entropy: 1, ram_hours: 0, recall: 0.6529, relative_absolute_error: 0.6942, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5891, root_relative_squared_error: 1.1783, run_cpu_time: 20.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6109, f_measure: 0.5745, kappa: 0.1524, kb_relative_information_score: 153073.8155, mean_absolute_error: 0.4312, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6837, predictive_accuracy: 0.6501, prior_entropy: 1, ram_hours: 0, recall: 0.6501, relative_absolute_error: 0.8623, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4701, root_relative_squared_error: 0.9403, run_cpu_time: 22.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.5872, kappa: 0.1721, kb_relative_information_score: 157050.3661, mean_absolute_error: 0.4305, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6891, predictive_accuracy: 0.6565, prior_entropy: 1, ram_hours: 0, recall: 0.6565, relative_absolute_error: 0.861, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4615, root_relative_squared_error: 0.923, run_cpu_time: 25.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4573, kb_relative_information_score: 211896, mean_absolute_error: 0.3941, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.3672, predictive_accuracy: 0.6059, prior_entropy: 1, ram_hours: 0, recall: 0.6059, relative_absolute_error: 0.7881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6277, root_relative_squared_error: 1.2555, run_cpu_time: 21.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5937, f_measure: 0.5946, kappa: 0.1906, kb_relative_information_score: 316818.4252, mean_absolute_error: 0.3426, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.718, predictive_accuracy: 0.6653, prior_entropy: 1, recall: 0.6653, relative_absolute_error: 0.6852, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5627, root_relative_squared_error: 1.1255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5927, f_measure: 0.5869, kappa: 0.1804, kb_relative_information_score: 303692.2536, mean_absolute_error: 0.3506, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7243, predictive_accuracy: 0.6627, prior_entropy: 1, recall: 0.6627, relative_absolute_error: 0.7012, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5642, root_relative_squared_error: 1.1284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5936, f_measure: 0.5946, kappa: 0.1906, kb_relative_information_score: 316516.967, mean_absolute_error: 0.3427, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.718, predictive_accuracy: 0.6653, prior_entropy: 1, recall: 0.6653, relative_absolute_error: 0.6855, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5627, root_relative_squared_error: 1.1253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5929, f_measure: 0.5946, kappa: 0.1906, kb_relative_information_score: 304468.81, mean_absolute_error: 0.3502, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7181, predictive_accuracy: 0.6653, prior_entropy: 1, recall: 0.6653, relative_absolute_error: 0.7004, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5641, root_relative_squared_error: 1.1283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5793, f_measure: 0.5906, kappa: 0.1833, kb_relative_information_score: 325004, mean_absolute_error: 0.3375, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7125, predictive_accuracy: 0.6625, prior_entropy: 1, recall: 0.6625, relative_absolute_error: 0.675, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.1619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5788, f_measure: 0.59, kappa: 0.1823, kb_relative_information_score: 324332, mean_absolute_error: 0.3378, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7122, predictive_accuracy: 0.6622, prior_entropy: 1, recall: 0.6622, relative_absolute_error: 0.6757, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5812, root_relative_squared_error: 1.1625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5791, f_measure: 0.5901, kappa: 0.183, kb_relative_information_score: 325328, mean_absolute_error: 0.3373, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7149, predictive_accuracy: 0.6627, prior_entropy: 1, recall: 0.6627, relative_absolute_error: 0.6747, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5808, root_relative_squared_error: 1.1616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5793, f_measure: 0.5906, kappa: 0.1833, kb_relative_information_score: 325004, mean_absolute_error: 0.3375, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7125, predictive_accuracy: 0.6625, prior_entropy: 1, recall: 0.6625, relative_absolute_error: 0.675, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.1619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5819, f_measure: 0.594, kappa: 0.1892, kb_relative_information_score: 329240, mean_absolute_error: 0.3354, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7154, predictive_accuracy: 0.6646, prior_entropy: 1, recall: 0.6646, relative_absolute_error: 0.6708, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5791, root_relative_squared_error: 1.1582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5825, f_measure: 0.5948, kappa: 0.1904, kb_relative_information_score: 330086, mean_absolute_error: 0.335, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7159, predictive_accuracy: 0.665, prior_entropy: 1, recall: 0.665, relative_absolute_error: 0.6699, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5788, root_relative_squared_error: 1.1575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5919, f_measure: 0.587, kappa: 0.1804, kb_relative_information_score: 287999.8621, mean_absolute_error: 0.3587, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7236, predictive_accuracy: 0.6627, prior_entropy: 1, recall: 0.6627, relative_absolute_error: 0.7174, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5676, root_relative_squared_error: 1.1352,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.581, f_measure: 0.5977, kappa: 0.1846, kb_relative_information_score: 316900, mean_absolute_error: 0.3416, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6791, predictive_accuracy: 0.6585, prior_entropy: 1, recall: 0.6585, relative_absolute_error: 0.6831, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5844, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5823, f_measure: 0.5949, kappa: 0.19, kb_relative_information_score: 329244, mean_absolute_error: 0.3354, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7131, predictive_accuracy: 0.6646, prior_entropy: 1, recall: 0.6646, relative_absolute_error: 0.6708, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5791, root_relative_squared_error: 1.1582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.581, f_measure: 0.5977, kappa: 0.1846, kb_relative_information_score: 316900, mean_absolute_error: 0.3416, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6791, predictive_accuracy: 0.6585, prior_entropy: 1, recall: 0.6585, relative_absolute_error: 0.6831, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5844, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6675, f_measure: 0.5958, kappa: 0.1921, kb_relative_information_score: 198123.0706, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7167, predictive_accuracy: 0.6656, prior_entropy: 1, recall: 0.6656, relative_absolute_error: 0.8173, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6682, f_measure: 0.5973, kappa: 0.1936, kb_relative_information_score: 201349.3259, mean_absolute_error: 0.4066, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7132, predictive_accuracy: 0.6657, prior_entropy: 1, recall: 0.6657, relative_absolute_error: 0.8132, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6682, f_measure: 0.5972, kappa: 0.1938, kb_relative_information_score: 201447.4137, mean_absolute_error: 0.4065, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7147, predictive_accuracy: 0.666, prior_entropy: 1, recall: 0.666, relative_absolute_error: 0.8131, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6682, f_measure: 0.5973, kappa: 0.1936, kb_relative_information_score: 201349.3259, mean_absolute_error: 0.4066, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7132, predictive_accuracy: 0.6657, prior_entropy: 1, recall: 0.6657, relative_absolute_error: 0.8132, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6677, f_measure: 0.5963, kappa: 0.1927, kb_relative_information_score: 197967.6949, mean_absolute_error: 0.4088, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7157, predictive_accuracy: 0.6657, prior_entropy: 1, recall: 0.6657, relative_absolute_error: 0.8176, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6682, f_measure: 0.5972, kappa: 0.1938, kb_relative_information_score: 201447.4137, mean_absolute_error: 0.4065, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7147, predictive_accuracy: 0.666, prior_entropy: 1, recall: 0.666, relative_absolute_error: 0.8131, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6678, f_measure: 0.5963, kappa: 0.1927, kb_relative_information_score: 198085.8774, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7162, predictive_accuracy: 0.6658, prior_entropy: 1, recall: 0.6658, relative_absolute_error: 0.8174, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9033,

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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