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Function: require_once

OpenML
Task
Supervised Data Stream Classification on BNG(SPECT)

Supervised Data Stream Classification on BNG(SPECT)

Task 7283 Supervised Data Stream Classification BNG(SPECT) 313 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • binstreams ecmlpkdd2015 streamensembles streams study_11 study_16
Issue #Downvotes for this reason By


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313 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 995818.3119, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0058, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0064, root_relative_squared_error: 0.0127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6848, f_measure: 0.8051, kappa: 0.3696, kb_relative_information_score: 647125.6885, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8043, predictive_accuracy: 0.8232, prior_entropy: 1, recall: 0.8232, relative_absolute_error: 0.3528, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4152, root_relative_squared_error: 0.8305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.8128, kappa: 0.3961, kb_relative_information_score: 523900.3555, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8124, predictive_accuracy: 0.8293, prior_entropy: 1, recall: 0.8293, relative_absolute_error: 0.5062, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3493, root_relative_squared_error: 0.6986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5145, f_measure: 0.6997, kappa: 0.0004, kb_relative_information_score: 582203.2518, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6771, predictive_accuracy: 0.791, prior_entropy: 1, recall: 0.791, relative_absolute_error: 0.4177, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4566, root_relative_squared_error: 0.9132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, f_measure: 0.8152, kappa: 0.4077, kb_relative_information_score: 528748.5213, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8132, predictive_accuracy: 0.8291, prior_entropy: 1, recall: 0.8291, relative_absolute_error: 0.4976, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, f_measure: 0.7695, kappa: 0.2326, kb_relative_information_score: 486834.3709, mean_absolute_error: 0.2721, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7914, predictive_accuracy: 0.8129, prior_entropy: 1, recall: 0.8129, relative_absolute_error: 0.5443, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8163, f_measure: 0.8289, kappa: 0.4511, kb_relative_information_score: 541949.9754, mean_absolute_error: 0.2473, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.829, predictive_accuracy: 0.8421, prior_entropy: 1, recall: 0.8421, relative_absolute_error: 0.4947, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.347, root_relative_squared_error: 0.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7726, f_measure: 0.7687, kappa: 0.3469, kb_relative_information_score: 475279.9801, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7892, predictive_accuracy: 0.7564, prior_entropy: 1, recall: 0.7564, relative_absolute_error: 0.5334, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.427, root_relative_squared_error: 0.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.8181, kappa: 0.418, kb_relative_information_score: 531545.5957, mean_absolute_error: 0.2469, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.816, predictive_accuracy: 0.8311, prior_entropy: 1, recall: 0.8311, relative_absolute_error: 0.4939, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6807, f_measure: 0.6995, kappa: -0, kb_relative_information_score: 428560.7519, mean_absolute_error: 0.3018, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6266, predictive_accuracy: 0.7916, prior_entropy: 1, recall: 0.7916, relative_absolute_error: 0.6035, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.7764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0719, kb_relative_information_score: -583160, mean_absolute_error: 0.7916, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.0434, predictive_accuracy: 0.2084, prior_entropy: 1, recall: 0.2084, relative_absolute_error: 1.5832, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.8897, root_relative_squared_error: 1.7794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6995, kappa: -0, kb_relative_information_score: 583158, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6266, predictive_accuracy: 0.7916, prior_entropy: 1, recall: 0.7916, relative_absolute_error: 0.4168, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4565, root_relative_squared_error: 0.9131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7015, f_measure: 0.7745, kappa: 0.3091, kb_relative_information_score: 542005.5088, mean_absolute_error: 0.2312, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7722, predictive_accuracy: 0.777, prior_entropy: 1, recall: 0.777, relative_absolute_error: 0.4625, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6496, f_measure: 0.7732, kappa: 0.2509, kb_relative_information_score: 616051.5595, mean_absolute_error: 0.1918, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7779, predictive_accuracy: 0.807, prior_entropy: 1, recall: 0.807, relative_absolute_error: 0.3836, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4309, root_relative_squared_error: 0.8617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.8091, kappa: 0.4077, kb_relative_information_score: 557933.2976, mean_absolute_error: 0.2311, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8056, predictive_accuracy: 0.8141, prior_entropy: 1, recall: 0.8141, relative_absolute_error: 0.4622, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.7275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6949, f_measure: 0.6995, kappa: -0.0002, kb_relative_information_score: 428593.7642, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6664, predictive_accuracy: 0.791, prior_entropy: 1, recall: 0.791, relative_absolute_error: 0.6042, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.6995, kappa: -0.0002, kb_relative_information_score: 581924, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6664, predictive_accuracy: 0.791, prior_entropy: 1, recall: 0.791, relative_absolute_error: 0.4181, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4572, root_relative_squared_error: 0.9144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, f_measure: 0.8281, kappa: 0.4471, kb_relative_information_score: 558066.1563, mean_absolute_error: 0.2359, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8287, predictive_accuracy: 0.842, prior_entropy: 1, recall: 0.842, relative_absolute_error: 0.4717, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3411, root_relative_squared_error: 0.6821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 995823.7518, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0057, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0064, root_relative_squared_error: 0.0127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7155, f_measure: 0.8224, kappa: 0.4518, kb_relative_information_score: 544886.5624, mean_absolute_error: 0.2419, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8198, predictive_accuracy: 0.8259, prior_entropy: 1, recall: 0.8259, relative_absolute_error: 0.4838, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.7336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7724, f_measure: 0.7686, kappa: 0.3467, kb_relative_information_score: 474612.8307, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7891, predictive_accuracy: 0.7562, prior_entropy: 1, recall: 0.7562, relative_absolute_error: 0.5342, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.8535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6806, f_measure: 0.6995, kappa: -0, kb_relative_information_score: 428695.6736, mean_absolute_error: 0.3017, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6266, predictive_accuracy: 0.7916, prior_entropy: 1, recall: 0.7916, relative_absolute_error: 0.6034, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.7764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.8379, kappa: 0.4847, kb_relative_information_score: 588021.3886, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8366, predictive_accuracy: 0.8477, prior_entropy: 1, recall: 0.8477, relative_absolute_error: 0.4364, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3322, root_relative_squared_error: 0.6645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0719, kb_relative_information_score: -583160, mean_absolute_error: 0.7916, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.0434, predictive_accuracy: 0.2084, prior_entropy: 1, recall: 0.2084, relative_absolute_error: 1.5832, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.8897, root_relative_squared_error: 1.7794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7571, f_measure: 0.8305, kappa: 0.4608, kb_relative_information_score: 565494.0717, mean_absolute_error: 0.2323, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8288, predictive_accuracy: 0.8411, prior_entropy: 1, recall: 0.8411, relative_absolute_error: 0.4645, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.6995, kappa: -0.0002, kb_relative_information_score: 582542, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6664, predictive_accuracy: 0.791, prior_entropy: 1, recall: 0.791, relative_absolute_error: 0.4175, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4566, root_relative_squared_error: 0.9132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.0719, kb_relative_information_score: -582542, mean_absolute_error: 0.7913, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.0434, predictive_accuracy: 0.2084, prior_entropy: 1, recall: 0.2084, relative_absolute_error: 1.5825, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.8894, root_relative_squared_error: 1.7788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7709, f_measure: 0.7717, kappa: 0.3458, kb_relative_information_score: 487378.1987, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7873, predictive_accuracy: 0.7614, prior_entropy: 1, recall: 0.7614, relative_absolute_error: 0.5212, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4217, root_relative_squared_error: 0.8433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.6995, kappa: -0.0002, kb_relative_information_score: 582542, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6664, predictive_accuracy: 0.791, prior_entropy: 1, recall: 0.791, relative_absolute_error: 0.4175, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4566, root_relative_squared_error: 0.9132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7763, f_measure: 0.7986, kappa: 0.3425, kb_relative_information_score: 540617.26, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8009, predictive_accuracy: 0.8215, prior_entropy: 1, recall: 0.8215, relative_absolute_error: 0.4841, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3741, root_relative_squared_error: 0.7483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7571, f_measure: 0.8305, kappa: 0.4608, kb_relative_information_score: 565494.0717, mean_absolute_error: 0.2323, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8288, predictive_accuracy: 0.8411, prior_entropy: 1, recall: 0.8411, relative_absolute_error: 0.4645, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6136, f_measure: 0.7818, kappa: 0.2834, kb_relative_information_score: 620792, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.784, predictive_accuracy: 0.8104, prior_entropy: 1, recall: 0.8104, relative_absolute_error: 0.3792, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.8709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.6995, kappa: -0, kb_relative_information_score: 385923.6102, mean_absolute_error: 0.3303, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6266, predictive_accuracy: 0.7916, prior_entropy: 1, recall: 0.7916, relative_absolute_error: 0.6606, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.6698, kappa: -0.0008, kb_relative_information_score: 339580, mean_absolute_error: 0.3302, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6698, predictive_accuracy: 0.6698, prior_entropy: 1, recall: 0.6698, relative_absolute_error: 0.6604, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5746, root_relative_squared_error: 1.1493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, f_measure: 0.8058, kappa: 0.3694, kb_relative_information_score: 530571.2407, mean_absolute_error: 0.2481, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.807, predictive_accuracy: 0.8256, prior_entropy: 1, recall: 0.8256, relative_absolute_error: 0.4961, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.7071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8684, f_measure: 0.8403, kappa: 0.4943, kb_relative_information_score: 593679.3922, mean_absolute_error: 0.2149, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8386, predictive_accuracy: 0.849, prior_entropy: 1, recall: 0.849, relative_absolute_error: 0.4299, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3316, root_relative_squared_error: 0.6632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0719, kb_relative_information_score: -583160, mean_absolute_error: 0.7916, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.0434, predictive_accuracy: 0.2084, prior_entropy: 1, recall: 0.2084, relative_absolute_error: 1.5832, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.8897, root_relative_squared_error: 1.7794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.8378, kappa: 0.4846, kb_relative_information_score: 590061.4962, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8364, predictive_accuracy: 0.8475, prior_entropy: 1, recall: 0.8475, relative_absolute_error: 0.4337, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3331, root_relative_squared_error: 0.6661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6686, f_measure: 0.7263, kappa: 0.0847, kb_relative_information_score: 461919.7128, mean_absolute_error: 0.2853, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7407, predictive_accuracy: 0.7922, prior_entropy: 1, recall: 0.7922, relative_absolute_error: 0.5707, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.393, root_relative_squared_error: 0.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8118, f_measure: 0.8026, kappa: 0.3905, kb_relative_information_score: 436967.5202, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7995, predictive_accuracy: 0.8066, prior_entropy: 1, recall: 0.8066, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.7398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, f_measure: 0.8307, kappa: 0.4783, kb_relative_information_score: 362071.7835, mean_absolute_error: 0.3412, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8284, predictive_accuracy: 0.8338, prior_entropy: 1, recall: 0.8338, relative_absolute_error: 0.6825, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8755, f_measure: 0.8404, kappa: 0.4931, kb_relative_information_score: 589836.9465, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8393, predictive_accuracy: 0.85, prior_entropy: 1, recall: 0.85, relative_absolute_error: 0.4355, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8755, f_measure: 0.8404, kappa: 0.4931, kb_relative_information_score: 589836.9465, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8393, predictive_accuracy: 0.85, prior_entropy: 1, recall: 0.85, relative_absolute_error: 0.4355, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, f_measure: 0.8447, kappa: 0.5094, kb_relative_information_score: 602623.7135, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8431, predictive_accuracy: 0.8527, prior_entropy: 1, recall: 0.8527, relative_absolute_error: 0.4205, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3245, root_relative_squared_error: 0.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7962, f_measure: 0.7987, kappa: 0.366, kb_relative_information_score: 491669.2869, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7937, predictive_accuracy: 0.808, prior_entropy: 1, recall: 0.808, relative_absolute_error: 0.5357, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.7329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, f_measure: 0.7988, kappa: 0.3677, kb_relative_information_score: 491632.5775, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7939, predictive_accuracy: 0.8076, prior_entropy: 1, recall: 0.8076, relative_absolute_error: 0.5357, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.8378, kappa: 0.4846, kb_relative_information_score: 590061.4962, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8364, predictive_accuracy: 0.8475, prior_entropy: 1, recall: 0.8475, relative_absolute_error: 0.4337, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3331, root_relative_squared_error: 0.6661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6995, kappa: -0, kb_relative_information_score: 583158, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6266, predictive_accuracy: 0.7916, prior_entropy: 1, recall: 0.7916, relative_absolute_error: 0.4168, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4565, root_relative_squared_error: 0.9131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7726, f_measure: 0.7687, kappa: 0.3469, kb_relative_information_score: 475263.9415, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7892, predictive_accuracy: 0.7563, prior_entropy: 1, recall: 0.7563, relative_absolute_error: 0.5334, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4271, root_relative_squared_error: 0.8542,

    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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