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Function: require_once

OpenML
Task
Supervised Data Stream Classification on BNG(trains)

Supervised Data Stream Classification on BNG(trains)

Task 178 Supervised Data Stream Classification BNG(trains) 312 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • binstreams ecmlpkdd2015 streamensembles streams streams-full study_11 study_16
Issue #Downvotes for this reason By


Metric:

312 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9404, f_measure: 0.8957, kappa: 0.7914, kb_relative_information_score: 776693.3998, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8959, predictive_accuracy: 0.8957, prior_entropy: 1, recall: 0.8957, relative_absolute_error: 0.2266, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.292, root_relative_squared_error: 0.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.927, kappa: 0.8539, kb_relative_information_score: 767487.8304, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.927, predictive_accuracy: 0.927, prior_entropy: 1, recall: 0.927, relative_absolute_error: 0.2531, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.236, root_relative_squared_error: 0.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8738, kappa: 0.7478, kb_relative_information_score: 735673.3287, mean_absolute_error: 0.1337, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8744, predictive_accuracy: 0.8739, prior_entropy: 1, recall: 0.8739, relative_absolute_error: 0.2673, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.6535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3321, kb_relative_information_score: -2238, mean_absolute_error: 0.5011, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.2489, predictive_accuracy: 0.4989, prior_entropy: 1, recall: 0.4989, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7079, root_relative_squared_error: 1.4158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.9013, kappa: 0.8027, kb_relative_information_score: 795750.2178, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9017, predictive_accuracy: 0.9013, prior_entropy: 1, recall: 0.9013, relative_absolute_error: 0.2059, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.5802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.857, kappa: 0.7142, kb_relative_information_score: 530333.3546, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8579, predictive_accuracy: 0.8571, prior_entropy: 1, recall: 0.8571, relative_absolute_error: 0.5069, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3322, root_relative_squared_error: 0.6644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.8961, kappa: 0.7922, kb_relative_information_score: 779339.9203, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8962, predictive_accuracy: 0.8961, prior_entropy: 1, recall: 0.8961, relative_absolute_error: 0.2236, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2924, root_relative_squared_error: 0.5849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9361, kappa: 0.8723, kb_relative_information_score: 761692.9571, mean_absolute_error: 0.1324, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9362, predictive_accuracy: 0.9361, prior_entropy: 1, recall: 0.9361, relative_absolute_error: 0.2648, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.4527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.887, kappa: 0.7741, kb_relative_information_score: 695293.163, mean_absolute_error: 0.1621, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8878, predictive_accuracy: 0.887, prior_entropy: 1, recall: 0.887, relative_absolute_error: 0.3241, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2896, root_relative_squared_error: 0.5793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.8961, kappa: 0.7922, kb_relative_information_score: 706241.8842, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8962, predictive_accuracy: 0.8961, prior_entropy: 1, recall: 0.8961, relative_absolute_error: 0.3149, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2789, root_relative_squared_error: 0.5578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3321, kb_relative_information_score: -2238, mean_absolute_error: 0.5011, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.2489, predictive_accuracy: 0.4989, prior_entropy: 1, recall: 0.4989, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7079, root_relative_squared_error: 1.4158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8678, f_measure: 0.867, kappa: 0.7342, kb_relative_information_score: 734118.7404, mean_absolute_error: 0.1329, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8677, predictive_accuracy: 0.8671, prior_entropy: 1, recall: 0.8671, relative_absolute_error: 0.2659, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.7284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, f_measure: 0.7825, kappa: 0.5653, kb_relative_information_score: 483073.9662, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7833, predictive_accuracy: 0.7826, prior_entropy: 1, recall: 0.7826, relative_absolute_error: 0.5336, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.8151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.923, kappa: 0.8461, kb_relative_information_score: 731012.3512, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9231, predictive_accuracy: 0.923, prior_entropy: 1, recall: 0.923, relative_absolute_error: 0.2956, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.246, root_relative_squared_error: 0.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, f_measure: 0.7191, kappa: 0.4595, kb_relative_information_score: 280783.0136, mean_absolute_error: 0.3755, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7703, predictive_accuracy: 0.7295, prior_entropy: 1, recall: 0.7295, relative_absolute_error: 0.751, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4338, root_relative_squared_error: 0.8675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7262, f_measure: 0.7224, kappa: 0.4522, kb_relative_information_score: 451940, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7385, predictive_accuracy: 0.726, prior_entropy: 1, recall: 0.726, relative_absolute_error: 0.5481, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5235, root_relative_squared_error: 1.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.8965, kappa: 0.793, kb_relative_information_score: 675200.4526, mean_absolute_error: 0.1763, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8965, predictive_accuracy: 0.8965, prior_entropy: 1, recall: 0.8965, relative_absolute_error: 0.3526, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.8721, kappa: 0.7442, kb_relative_information_score: 739169.5909, mean_absolute_error: 0.1307, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8726, predictive_accuracy: 0.8721, prior_entropy: 1, recall: 0.8721, relative_absolute_error: 0.2614, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, f_measure: 0.8657, kappa: 0.7315, kb_relative_information_score: 660543.6005, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8668, predictive_accuracy: 0.8657, prior_entropy: 1, recall: 0.8657, relative_absolute_error: 0.3625, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.6736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.7819, kappa: 0.5643, kb_relative_information_score: 506465.3091, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7835, predictive_accuracy: 0.7822, prior_entropy: 1, recall: 0.7822, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7475, f_measure: 0.7191, kappa: 0.4595, kb_relative_information_score: 283304.8247, mean_absolute_error: 0.3742, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7702, predictive_accuracy: 0.7295, prior_entropy: 1, recall: 0.7295, relative_absolute_error: 0.7485, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4324, root_relative_squared_error: 0.8647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9386, kappa: 0.8773, kb_relative_information_score: 834346.082, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9387, predictive_accuracy: 0.9386, prior_entropy: 1, recall: 0.9386, relative_absolute_error: 0.1781, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.4384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3321, kb_relative_information_score: -2238, mean_absolute_error: 0.5011, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.2489, predictive_accuracy: 0.4989, prior_entropy: 1, recall: 0.4989, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7079, root_relative_squared_error: 1.4158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8852, f_measure: 0.8645, kappa: 0.7291, kb_relative_information_score: 664187.7445, mean_absolute_error: 0.1776, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8649, predictive_accuracy: 0.8645, prior_entropy: 1, recall: 0.8645, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3321, kb_relative_information_score: -2238, mean_absolute_error: 0.5011, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.2489, predictive_accuracy: 0.4989, prior_entropy: 1, ram_hours: 0, recall: 0.4989, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7079, root_relative_squared_error: 1.4158, run_cpu_time: 12.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8556, kappa: 0.7114, kb_relative_information_score: 605720.1646, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8568, predictive_accuracy: 0.8557, prior_entropy: 1, ram_hours: 0, recall: 0.8557, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3262, root_relative_squared_error: 0.6524, run_cpu_time: 13.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.813, kappa: 0.6268, kb_relative_information_score: 470586.9545, mean_absolute_error: 0.2809, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8163, predictive_accuracy: 0.8134, prior_entropy: 1, ram_hours: 0, recall: 0.8134, relative_absolute_error: 0.5617, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.368, root_relative_squared_error: 0.736, run_cpu_time: 77.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9498, kappa: 0.8996, kb_relative_information_score: 558279.0169, mean_absolute_error: 0.2529, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9498, predictive_accuracy: 0.9498, prior_entropy: 1, ram_hours: 0.0025, recall: 0.9498, relative_absolute_error: 0.5058, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.5658, run_cpu_time: 214.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9381, kappa: 0.8762, kb_relative_information_score: 834896.3761, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9381, predictive_accuracy: 0.9381, prior_entropy: 1, ram_hours: 0.0001, recall: 0.9381, relative_absolute_error: 0.177, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.4412, run_cpu_time: 50.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.906, kappa: 0.812, kb_relative_information_score: 569086.9018, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.906, predictive_accuracy: 0.906, prior_entropy: 1, ram_hours: 0.034, recall: 0.906, relative_absolute_error: 0.4801, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.5882, run_cpu_time: 615.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.4994, kappa: -0.0012, kb_relative_information_score: -1244, mean_absolute_error: 0.5006, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.4994, predictive_accuracy: 0.4994, prior_entropy: 1, ram_hours: 0, recall: 0.4994, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7075, root_relative_squared_error: 1.4151, run_cpu_time: 9.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.8257, kappa: 0.6518, kb_relative_information_score: 561917.8391, mean_absolute_error: 0.2307, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8271, predictive_accuracy: 0.8259, prior_entropy: 1, ram_hours: 0, recall: 0.8259, relative_absolute_error: 0.4613, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.7544, run_cpu_time: 10.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, f_measure: 0.7191, kappa: 0.4595, kb_relative_information_score: 458992, mean_absolute_error: 0.2705, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7703, predictive_accuracy: 0.7295, prior_entropy: 1, ram_hours: 0, recall: 0.7295, relative_absolute_error: 0.541, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5199, root_relative_squared_error: 1.0397, run_cpu_time: 10.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9391, kappa: 0.8782, kb_relative_information_score: 836566.9148, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9391, predictive_accuracy: 0.9391, prior_entropy: 1, ram_hours: 0, recall: 0.9391, relative_absolute_error: 0.1753, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.4351, run_cpu_time: 25.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3321, kb_relative_information_score: -2238, mean_absolute_error: 0.5011, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.2489, predictive_accuracy: 0.4989, prior_entropy: 1, ram_hours: 0, recall: 0.4989, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7079, root_relative_squared_error: 1.4158, run_cpu_time: 11.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.8813, kappa: 0.7629, kb_relative_information_score: 689057.8466, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8824, predictive_accuracy: 0.8814, prior_entropy: 1, ram_hours: 0, recall: 0.8814, relative_absolute_error: 0.3292, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2958, root_relative_squared_error: 0.5915, run_cpu_time: 13.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8853, f_measure: 0.8849, kappa: 0.7698, kb_relative_information_score: 769760, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8852, predictive_accuracy: 0.8849, prior_entropy: 1, ram_hours: 0, recall: 0.8849, relative_absolute_error: 0.2302, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3389, root_relative_squared_error: 0.6779, run_cpu_time: 12.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9422, kappa: 0.8843, kb_relative_information_score: 831584.3945, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9422, predictive_accuracy: 0.9422, prior_entropy: 1, ram_hours: 0.001, recall: 0.9422, relative_absolute_error: 0.1833, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.208, root_relative_squared_error: 0.416, run_cpu_time: 132.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9421, kappa: 0.8843, kb_relative_information_score: 831320.8606, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9422, predictive_accuracy: 0.9421, prior_entropy: 1, ram_hours: 0.0014, recall: 0.9421, relative_absolute_error: 0.1836, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.4164, run_cpu_time: 183.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.4328, kappa: -0.0008, kb_relative_information_score: 1.422, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.4992, predictive_accuracy: 0.5004, prior_entropy: 1, ram_hours: 0, recall: 0.5004, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, run_cpu_time: 10.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8852, f_measure: 0.8645, kappa: 0.7291, kb_relative_information_score: 664187.7445, mean_absolute_error: 0.1776, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8649, predictive_accuracy: 0.8645, prior_entropy: 1, ram_hours: 0, recall: 0.8645, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.691, run_cpu_time: 10.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, f_measure: 0.852, kappa: 0.704, kb_relative_information_score: 704006, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8521, predictive_accuracy: 0.852, prior_entropy: 1, ram_hours: 0, recall: 0.852, relative_absolute_error: 0.296, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7694, run_cpu_time: 9.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3321, kb_relative_information_score: -2270, mean_absolute_error: 0.5011, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.2489, predictive_accuracy: 0.4989, prior_entropy: 1, ram_hours: 0.0032, recall: 0.4989, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7077, root_relative_squared_error: 1.4155, run_cpu_time: 67.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9232, kappa: 0.8465, kb_relative_information_score: 691287.3613, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9233, predictive_accuracy: 0.9232, prior_entropy: 1, ram_hours: 0.0019, recall: 0.9232, relative_absolute_error: 0.3406, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2567, root_relative_squared_error: 0.5135, run_cpu_time: 10481.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.887, kappa: 0.7741, kb_relative_information_score: 695294.0011, mean_absolute_error: 0.1621, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8878, predictive_accuracy: 0.887, prior_entropy: 1, ram_hours: 0, recall: 0.887, relative_absolute_error: 0.3241, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2896, root_relative_squared_error: 0.5792, run_cpu_time: 12.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9234, kappa: 0.8468, kb_relative_information_score: 691259.8675, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9234, predictive_accuracy: 0.9234, prior_entropy: 1, ram_hours: 0.0001, recall: 0.9234, relative_absolute_error: 0.3406, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2568, root_relative_squared_error: 0.5136, run_cpu_time: 592.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.867, kappa: 0.7342, kb_relative_information_score: 734172, mean_absolute_error: 0.1329, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8677, predictive_accuracy: 0.8671, prior_entropy: 1, ram_hours: 0, recall: 0.8671, relative_absolute_error: 0.2658, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7291, run_cpu_time: 9.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9436, kappa: 0.8872, kb_relative_information_score: 831777.5991, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9437, predictive_accuracy: 0.9436, prior_entropy: 1, ram_hours: 0.0245, recall: 0.9436, relative_absolute_error: 0.1833, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.4109, run_cpu_time: 536.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9391, kappa: 0.8782, kb_relative_information_score: 836566.9148, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9391, predictive_accuracy: 0.9391, prior_entropy: 1, ram_hours: 0, recall: 0.9391, relative_absolute_error: 0.1753, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.4351, run_cpu_time: 20.69,

    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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