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OpenML
Task
Supervised Data Stream Classification on BNG(soybean)

Supervised Data Stream Classification on BNG(soybean)

Task 174 Supervised Data Stream Classification BNG(soybean) 300 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • ecmlpkdd2015 streamensembles streams streams-full study_11 study_16
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300 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.8705, kappa: 0.8594, kb_relative_information_score: 877382.4619, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.8755, predictive_accuracy: 0.8715, prior_entropy: 4.2479, recall: 0.8715, relative_absolute_error: 0.159, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.1066, root_relative_squared_error: 0.4773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.8843, kappa: 0.8739, kb_relative_information_score: 230489.614, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.8922, predictive_accuracy: 0.8851, prior_entropy: 4.2479, recall: 0.8851, relative_absolute_error: 0.9459, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5144, f_measure: 0.0213, kappa: 0.0154, kb_relative_information_score: 30996.3675, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.0292, predictive_accuracy: 0.0444, prior_entropy: 4.2479, recall: 0.0444, relative_absolute_error: 1.0097, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.3134, root_relative_squared_error: 1.4036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.8965, kappa: 0.8872, kb_relative_information_score: 900331.5564, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.8981, predictive_accuracy: 0.8971, prior_entropy: 4.2479, recall: 0.8971, relative_absolute_error: 0.1822, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.4021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.889, kappa: 0.8784, kb_relative_information_score: 230352.0663, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.8904, predictive_accuracy: 0.889, prior_entropy: 4.2479, recall: 0.889, relative_absolute_error: 0.946, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.9543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.8862, kappa: 0.8755, kb_relative_information_score: 875158.5948, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.89, predictive_accuracy: 0.8864, prior_entropy: 4.2479, recall: 0.8864, relative_absolute_error: 0.2336, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.097, root_relative_squared_error: 0.4343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9024, kappa: 0.8928, kb_relative_information_score: 909880.2312, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.91, predictive_accuracy: 0.9019, prior_entropy: 4.2479, recall: 0.9019, relative_absolute_error: 0.1163, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.092, root_relative_squared_error: 0.4121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0017, kb_relative_information_score: 11799.3735, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.0009, predictive_accuracy: 0.0296, prior_entropy: 4.2479, recall: 0.0296, relative_absolute_error: 1.0243, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.3196, root_relative_squared_error: 1.4313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5103, f_measure: 0.0252, kappa: 0.0205, kb_relative_information_score: 31858.8228, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.0295, predictive_accuracy: 0.0493, prior_entropy: 4.2479, recall: 0.0493, relative_absolute_error: 1.0035, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.3163, root_relative_squared_error: 1.4167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0017, kb_relative_information_score: 11563.1134, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.0009, predictive_accuracy: 0.0294, prior_entropy: 4.2479, recall: 0.0294, relative_absolute_error: 1.0245, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.3196, root_relative_squared_error: 1.4315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.8613, kappa: 0.8489, kb_relative_information_score: 857266.6796, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.8653, predictive_accuracy: 0.8621, prior_entropy: 4.2479, recall: 0.8621, relative_absolute_error: 0.2423, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.1037, root_relative_squared_error: 0.4645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.1723, kappa: 0.1747, kb_relative_information_score: 277237.3563, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.1718, predictive_accuracy: 0.2796, prior_entropy: 4.2479, recall: 0.2796, relative_absolute_error: 0.9071, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.9455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6222, f_measure: 0.1991, kappa: 0.2263, kb_relative_information_score: 317173.4543, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.2646, predictive_accuracy: 0.3217, prior_entropy: 4.2479, recall: 0.3217, relative_absolute_error: 0.7169, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.2642, root_relative_squared_error: 1.1832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.7819, kappa: 0.7634, kb_relative_information_score: 771768.4862, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.7925, predictive_accuracy: 0.7849, prior_entropy: 4.2479, recall: 0.7849, relative_absolute_error: 0.3594, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.1263, root_relative_squared_error: 0.5658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.864, kappa: 0.8524, kb_relative_information_score: 867786.8562, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.8688, predictive_accuracy: 0.8651, prior_entropy: 4.2479, recall: 0.8651, relative_absolute_error: 0.1568, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.1143, root_relative_squared_error: 0.5118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.7825, kappa: 0.7595, kb_relative_information_score: 771110.9598, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.7967, predictive_accuracy: 0.7808, prior_entropy: 4.2479, recall: 0.7808, relative_absolute_error: 0.2954, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.6329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9022, kappa: 0.8926, kb_relative_information_score: 907068.978, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.9099, predictive_accuracy: 0.9017, prior_entropy: 4.2479, recall: 0.9017, relative_absolute_error: 0.1246, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.0921, root_relative_squared_error: 0.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7639, f_measure: 0.198, kappa: 0.2265, kb_relative_information_score: 343697.3706, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.1592, predictive_accuracy: 0.322, prior_entropy: 4.2479, recall: 0.322, relative_absolute_error: 0.8578, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.9262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.8943, kappa: 0.8843, kb_relative_information_score: 905944.3553, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.898, predictive_accuracy: 0.8943, prior_entropy: 4.2479, recall: 0.8943, relative_absolute_error: 0.1353, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.0917, root_relative_squared_error: 0.4105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0017, kb_relative_information_score: 11799.3735, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.0009, predictive_accuracy: 0.0296, prior_entropy: 4.2479, recall: 0.0296, relative_absolute_error: 1.0243, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.3196, root_relative_squared_error: 1.4313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.772, kappa: 0.754, kb_relative_information_score: 770762.8413, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.7862, predictive_accuracy: 0.7756, prior_entropy: 4.2479, recall: 0.7756, relative_absolute_error: 0.3013, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.1409, root_relative_squared_error: 0.6309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.8794, kappa: 0.8685, kb_relative_information_score: 230176.9673, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.8831, predictive_accuracy: 0.8801, prior_entropy: 4.2479, ram_hours: 0, recall: 0.8801, relative_absolute_error: 0.946, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.9547, run_cpu_time: 111.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8811, f_measure: 0.6659, kappa: 0.6445, kb_relative_information_score: 666623.532, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.6883, predictive_accuracy: 0.6773, prior_entropy: 4.2479, ram_hours: 0, recall: 0.6773, relative_absolute_error: 0.4442, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.726, run_cpu_time: 21.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9032, kappa: 0.8937, kb_relative_information_score: 905629.0602, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.9103, predictive_accuracy: 0.9028, prior_entropy: 4.2479, ram_hours: 0.0002, recall: 0.9028, relative_absolute_error: 0.1396, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.4015, run_cpu_time: 738.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.613, f_measure: 0.1878, kappa: 0.2254, kb_relative_information_score: 305552.1749, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.144, predictive_accuracy: 0.3181, prior_entropy: 4.2479, ram_hours: 0, recall: 0.3181, relative_absolute_error: 0.7198, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.2678, root_relative_squared_error: 1.1994, run_cpu_time: 19.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0017, kb_relative_information_score: 11799.3735, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.0009, predictive_accuracy: 0.0296, prior_entropy: 4.2479, ram_hours: 0, recall: 0.0296, relative_absolute_error: 1.0243, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.3196, root_relative_squared_error: 1.4313, run_cpu_time: 17.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.0334, kappa: -0.0001, kb_relative_information_score: 168894.1271, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.0658, predictive_accuracy: 0.1332, prior_entropy: 4.2479, ram_hours: 0, recall: 0.1332, relative_absolute_error: 0.9639, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.9818, run_cpu_time: 34.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7291, kappa: 0.7032, kb_relative_information_score: 752135.1447, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.7431, predictive_accuracy: 0.7297, prior_entropy: 4.2479, ram_hours: 0, recall: 0.7297, relative_absolute_error: 0.3896, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.1398, root_relative_squared_error: 0.6259, run_cpu_time: 72.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.8898, kappa: 0.8794, kb_relative_information_score: 850901.2623, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.8899, predictive_accuracy: 0.89, prior_entropy: 4.2479, ram_hours: 0.0938, recall: 0.89, relative_absolute_error: 0.3044, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.4696, run_cpu_time: 1100.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.8943, kappa: 0.8843, kb_relative_information_score: 905944.3553, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.898, predictive_accuracy: 0.8943, prior_entropy: 4.2479, ram_hours: 0, recall: 0.8943, relative_absolute_error: 0.1353, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.0917, root_relative_squared_error: 0.4105, run_cpu_time: 107.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0017, kb_relative_information_score: 11794.3137, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.0009, predictive_accuracy: 0.0296, prior_entropy: 4.2479, ram_hours: 0.0044, recall: 0.0296, relative_absolute_error: 1.0243, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.3195, root_relative_squared_error: 1.4309, run_cpu_time: 88.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9098, kappa: 0.9014, kb_relative_information_score: 900949.6173, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.9124, predictive_accuracy: 0.9099, prior_entropy: 4.2479, ram_hours: 0.0038, recall: 0.9099, relative_absolute_error: 0.2019, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.0864, root_relative_squared_error: 0.3869, run_cpu_time: 801.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.3527, kappa: 0.398, kb_relative_information_score: 498701.4351, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.3661, predictive_accuracy: 0.4629, prior_entropy: 4.2479, ram_hours: 0, recall: 0.4629, relative_absolute_error: 0.672, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.8378, run_cpu_time: 91.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0017, kb_relative_information_score: 11563.1134, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.0009, predictive_accuracy: 0.0294, prior_entropy: 4.2479, ram_hours: 0, recall: 0.0294, relative_absolute_error: 1.0245, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.3196, root_relative_squared_error: 1.4315, run_cpu_time: 14.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.0867, kappa: -0.0001, kb_relative_information_score: 69975.3673, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.0867, predictive_accuracy: 0.0867, prior_entropy: 4.2479, ram_hours: 0, recall: 0.0867, relative_absolute_error: 0.964, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.3101, root_relative_squared_error: 1.3885, run_cpu_time: 22.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.8921, kappa: 0.8818, kb_relative_information_score: 903574.0763, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.8955, predictive_accuracy: 0.892, prior_entropy: 4.2479, ram_hours: 0.0001, recall: 0.892, relative_absolute_error: 0.1375, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.093, root_relative_squared_error: 0.4165, run_cpu_time: 170.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.772, kappa: 0.754, kb_relative_information_score: 770762.8413, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.7862, predictive_accuracy: 0.7756, prior_entropy: 4.2479, ram_hours: 0, recall: 0.7756, relative_absolute_error: 0.3013, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.1409, root_relative_squared_error: 0.6309, run_cpu_time: 22.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9052, kappa: 0.8962, kb_relative_information_score: 912895.3639, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.909, predictive_accuracy: 0.9052, prior_entropy: 4.2479, ram_hours: 0.0019, recall: 0.9052, relative_absolute_error: 0.1384, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.0858, root_relative_squared_error: 0.384, run_cpu_time: 507.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.8906, kappa: 0.8796, kb_relative_information_score: 899155.7876, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.8985, predictive_accuracy: 0.8899, prior_entropy: 4.2479, ram_hours: 0, recall: 0.8899, relative_absolute_error: 0.1319, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.0966, root_relative_squared_error: 0.4325, run_cpu_time: 89.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0017, kb_relative_information_score: 11799.3735, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.0009, predictive_accuracy: 0.0296, prior_entropy: 4.2479, ram_hours: 0, recall: 0.0296, relative_absolute_error: 1.0243, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.3196, root_relative_squared_error: 1.4313, run_cpu_time: 19.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5103, f_measure: 0.0252, kappa: 0.0205, kb_relative_information_score: 31853.986, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.0295, predictive_accuracy: 0.0493, prior_entropy: 4.2479, ram_hours: 0, recall: 0.0493, relative_absolute_error: 1.0035, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.3163, root_relative_squared_error: 1.4167, run_cpu_time: 14.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.8943, kappa: 0.8843, kb_relative_information_score: 905944.3553, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.898, predictive_accuracy: 0.8943, prior_entropy: 4.2479, ram_hours: 0, recall: 0.8943, relative_absolute_error: 0.1353, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.0917, root_relative_squared_error: 0.4105, run_cpu_time: 111.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.8141, kappa: 0.8033, kb_relative_information_score: 840269.0643, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.8493, predictive_accuracy: 0.8222, prior_entropy: 4.2479, ram_hours: 0.0025, recall: 0.8222, relative_absolute_error: 0.2785, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.5141, run_cpu_time: 12918.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9024, kappa: 0.8928, kb_relative_information_score: 909846.0315, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.91, predictive_accuracy: 0.9019, prior_entropy: 4.2479, ram_hours: 0, recall: 0.9019, relative_absolute_error: 0.1164, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.092, root_relative_squared_error: 0.4121, run_cpu_time: 90.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.814, kappa: 0.8033, kb_relative_information_score: 840221.5388, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.8491, predictive_accuracy: 0.8222, prior_entropy: 4.2479, ram_hours: 0.0001, recall: 0.8222, relative_absolute_error: 0.2785, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.5143, run_cpu_time: 638.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9139, kappa: 0.9057, kb_relative_information_score: 919071.8745, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.9173, predictive_accuracy: 0.9138, prior_entropy: 4.2479, ram_hours: 0.0099, recall: 0.9138, relative_absolute_error: 0.1407, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.0817, root_relative_squared_error: 0.3659, run_cpu_time: 911.95,

    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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