OpenML
Supervised Data Stream Classification on BNG(colic.ORIG)

Supervised Data Stream Classification on BNG(colic.ORIG)

Task 2152 Supervised Data Stream Classification BNG(colic.ORIG) 123 runs submitted
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  • binstreams streamensembles streams study_11
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.764, f_measure: 0.8069, kappa: 0.5591, kb_relative_information_score: 627352, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8112, predictive_accuracy: 0.8137, prior_entropy: 1, recall: 0.8137, relative_absolute_error: 0.3726, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5839, f_measure: 0.6445, kappa: 0.2088, kb_relative_information_score: 430700, mean_absolute_error: 0.2847, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7676, predictive_accuracy: 0.7154, prior_entropy: 1, recall: 0.7154, relative_absolute_error: 0.5693, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5335, root_relative_squared_error: 1.0671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5275, kb_relative_information_score: 324164, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.4384, predictive_accuracy: 0.6621, prior_entropy: 1, recall: 0.6621, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5813, root_relative_squared_error: 1.1626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7415, f_measure: 0.7572, kappa: 0.4454, kb_relative_information_score: 477098.2668, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7596, predictive_accuracy: 0.7665, prior_entropy: 1, recall: 0.7665, relative_absolute_error: 0.536, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.8803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7581, f_measure: 0.7352, kappa: 0.3957, kb_relative_information_score: 369590.9774, mean_absolute_error: 0.3275, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7354, predictive_accuracy: 0.7444, prior_entropy: 1, recall: 0.7444, relative_absolute_error: 0.655, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5275, kb_relative_information_score: 324164, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.4384, predictive_accuracy: 0.6621, prior_entropy: 1, recall: 0.6621, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5813, root_relative_squared_error: 1.1626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7493, f_measure: 0.7341, kappa: 0.3928, kb_relative_information_score: 534652.9182, mean_absolute_error: 0.2327, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7939, predictive_accuracy: 0.7676, prior_entropy: 1, recall: 0.7676, relative_absolute_error: 0.4655, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4755, root_relative_squared_error: 0.9511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5526, kappa: 0.0001, kb_relative_information_score: 105154, mean_absolute_error: 0.4474, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.5526, predictive_accuracy: 0.5526, prior_entropy: 1, recall: 0.5526, relative_absolute_error: 0.8948, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6689, root_relative_squared_error: 1.3378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.5275, kappa: -0, kb_relative_information_score: 130916.5429, mean_absolute_error: 0.4476, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.4384, predictive_accuracy: 0.6621, prior_entropy: 1, recall: 0.6621, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.473, root_relative_squared_error: 0.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5822, f_measure: 0.6244, kappa: 0.1607, kb_relative_information_score: 248698.8101, mean_absolute_error: 0.3756, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6245, predictive_accuracy: 0.6243, prior_entropy: 1, recall: 0.6243, relative_absolute_error: 0.7513, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5731, f_measure: 0.6172, kappa: 0.1458, kb_relative_information_score: 233372, mean_absolute_error: 0.3833, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6178, predictive_accuracy: 0.6167, prior_entropy: 1, recall: 0.6167, relative_absolute_error: 0.7666, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6191, root_relative_squared_error: 1.2382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.6903, kappa: 0.3027, kb_relative_information_score: 354981.5788, mean_absolute_error: 0.3263, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6884, predictive_accuracy: 0.693, prior_entropy: 1, recall: 0.693, relative_absolute_error: 0.6526, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4897, root_relative_squared_error: 0.9793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6497, f_measure: 0.691, kappa: 0.3043, kb_relative_information_score: 387372, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6891, predictive_accuracy: 0.6937, prior_entropy: 1, recall: 0.6937, relative_absolute_error: 0.6126, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5535, root_relative_squared_error: 1.1069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.632, f_measure: 0.6815, kappa: 0.2757, kb_relative_information_score: 379304, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6782, predictive_accuracy: 0.6897, prior_entropy: 1, recall: 0.6897, relative_absolute_error: 0.6207, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5571, root_relative_squared_error: 1.1142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7616, f_measure: 0.6565, kappa: 0.226, kb_relative_information_score: 335401.4186, mean_absolute_error: 0.3442, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7336, predictive_accuracy: 0.7151, prior_entropy: 1, recall: 0.7151, relative_absolute_error: 0.6883, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4287, root_relative_squared_error: 0.8574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.764, f_measure: 0.8068, kappa: 0.5591, kb_relative_information_score: 627338, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8112, predictive_accuracy: 0.8137, prior_entropy: 1, recall: 0.8137, relative_absolute_error: 0.3727, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.764, f_measure: 0.8069, kappa: 0.5591, kb_relative_information_score: 627352, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8112, predictive_accuracy: 0.8137, prior_entropy: 1, recall: 0.8137, relative_absolute_error: 0.3726, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.764, f_measure: 0.8069, kappa: 0.5591, kb_relative_information_score: 627352, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8112, predictive_accuracy: 0.8137, prior_entropy: 1, recall: 0.8137, relative_absolute_error: 0.3726, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7093, f_measure: 0.7559, kappa: 0.4429, kb_relative_information_score: 528810, mean_absolute_error: 0.2356, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7573, predictive_accuracy: 0.7644, prior_entropy: 1, recall: 0.7644, relative_absolute_error: 0.4712, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4854, root_relative_squared_error: 0.9708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, f_measure: 0.7564, kappa: 0.4439, kb_relative_information_score: 530086, mean_absolute_error: 0.235, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.758, predictive_accuracy: 0.765, prior_entropy: 1, recall: 0.765, relative_absolute_error: 0.4699, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4847, root_relative_squared_error: 0.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, f_measure: 0.7564, kappa: 0.4439, kb_relative_information_score: 530086, mean_absolute_error: 0.235, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.758, predictive_accuracy: 0.765, prior_entropy: 1, recall: 0.765, relative_absolute_error: 0.4699, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4847, root_relative_squared_error: 0.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, f_measure: 0.7564, kappa: 0.4439, kb_relative_information_score: 530088, mean_absolute_error: 0.235, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.758, predictive_accuracy: 0.765, prior_entropy: 1, recall: 0.765, relative_absolute_error: 0.4699, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4847, root_relative_squared_error: 0.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.761, f_measure: 0.7563, kappa: 0.4437, kb_relative_information_score: 420557.8149, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7579, predictive_accuracy: 0.765, prior_entropy: 1, recall: 0.765, relative_absolute_error: 0.6045, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4255, root_relative_squared_error: 0.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5291, f_measure: 0.5879, kappa: 0.0705, kb_relative_information_score: 313896, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6078, predictive_accuracy: 0.6569, prior_entropy: 1, recall: 0.6569, relative_absolute_error: 0.6861, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5857, root_relative_squared_error: 1.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7203, f_measure: 0.6954, kappa: 0.3103, kb_relative_information_score: 489344.4568, mean_absolute_error: 0.2559, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.778, predictive_accuracy: 0.743, prior_entropy: 1, recall: 0.743, relative_absolute_error: 0.5118, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4764, root_relative_squared_error: 0.9528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7487, f_measure: 0.7217, kappa: 0.3661, kb_relative_information_score: 518412.0861, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7899, predictive_accuracy: 0.7597, prior_entropy: 1, recall: 0.7597, relative_absolute_error: 0.4819, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.482, root_relative_squared_error: 0.9641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6953, f_measure: 0.6904, kappa: 0.3006, kb_relative_information_score: 481458.7072, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7811, predictive_accuracy: 0.7409, prior_entropy: 1, recall: 0.7409, relative_absolute_error: 0.5189, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.7379, kappa: 0.4003, kb_relative_information_score: 471769.5185, mean_absolute_error: 0.2698, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7877, predictive_accuracy: 0.7683, prior_entropy: 1, recall: 0.7683, relative_absolute_error: 0.5396, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4179, root_relative_squared_error: 0.8358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7422, f_measure: 0.7072, kappa: 0.335, kb_relative_information_score: 489906.01, mean_absolute_error: 0.2565, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7829, predictive_accuracy: 0.7503, prior_entropy: 1, recall: 0.7503, relative_absolute_error: 0.513, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, f_measure: 0.6688, kappa: 0.2562, kb_relative_information_score: 414692.1188, mean_absolute_error: 0.2992, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7713, predictive_accuracy: 0.728, prior_entropy: 1, recall: 0.728, relative_absolute_error: 0.5983, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.8837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7307, kappa: 0.3847, kb_relative_information_score: 520471.9072, mean_absolute_error: 0.2406, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7859, predictive_accuracy: 0.7639, prior_entropy: 1, recall: 0.7639, relative_absolute_error: 0.4811, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.479, root_relative_squared_error: 0.9579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.5275, kb_relative_information_score: 268673.0514, mean_absolute_error: 0.3741, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.4384, predictive_accuracy: 0.6621, prior_entropy: 1, recall: 0.6621, relative_absolute_error: 0.7483, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5246, root_relative_squared_error: 1.0493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6531, f_measure: 0.7195, kappa: 0.3606, kb_relative_information_score: 514106, mean_absolute_error: 0.2429, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7831, predictive_accuracy: 0.7571, prior_entropy: 1, recall: 0.7571, relative_absolute_error: 0.4859, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4929, root_relative_squared_error: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7153, f_measure: 0.717, kappa: 0.3548, kb_relative_information_score: 500132.3211, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7776, predictive_accuracy: 0.7545, prior_entropy: 1, recall: 0.7545, relative_absolute_error: 0.5028, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4696, root_relative_squared_error: 0.9392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.7606, kappa: 0.4506, kb_relative_information_score: 559851.7792, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7961, predictive_accuracy: 0.7833, prior_entropy: 1, recall: 0.7833, relative_absolute_error: 0.4414, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7741, f_measure: 0.6681, kappa: 0.25, kb_relative_information_score: 348583.921, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7416, predictive_accuracy: 0.722, prior_entropy: 1, recall: 0.722, relative_absolute_error: 0.6754, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4237, root_relative_squared_error: 0.8475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.778, f_measure: 0.7265, kappa: 0.3758, kb_relative_information_score: 506370.7247, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7868, predictive_accuracy: 0.7617, prior_entropy: 1, recall: 0.7617, relative_absolute_error: 0.496, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4819, root_relative_squared_error: 0.9639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6153, f_measure: 0.6805, kappa: 0.2791, kb_relative_information_score: 467184, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.769, predictive_accuracy: 0.7336, prior_entropy: 1, recall: 0.7336, relative_absolute_error: 0.5328, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5161, root_relative_squared_error: 1.0323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6831, f_measure: 0.587, kappa: 0.2218, kb_relative_information_score: 166689.7499, mean_absolute_error: 0.4162, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.688, predictive_accuracy: 0.5817, prior_entropy: 1, recall: 0.5817, relative_absolute_error: 0.8325, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6339, root_relative_squared_error: 1.2678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5275, kb_relative_information_score: 324164, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.4384, predictive_accuracy: 0.6621, prior_entropy: 1, recall: 0.6621, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5813, root_relative_squared_error: 1.1626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, f_measure: 0.7769, kappa: 0.4913, kb_relative_information_score: 491060.1341, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7788, predictive_accuracy: 0.7842, prior_entropy: 1, recall: 0.7842, relative_absolute_error: 0.5288, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5275, kb_relative_information_score: 324164, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.4384, predictive_accuracy: 0.6621, prior_entropy: 1, recall: 0.6621, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5813, root_relative_squared_error: 1.1626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.7817, kappa: 0.5019, kb_relative_information_score: 422663.8808, mean_absolute_error: 0.3039, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7844, predictive_accuracy: 0.7892, prior_entropy: 1, recall: 0.7892, relative_absolute_error: 0.6078, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3895, root_relative_squared_error: 0.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6739, f_measure: 0.6802, kappa: 0.2674, kb_relative_information_score: 328798.5778, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6796, predictive_accuracy: 0.696, prior_entropy: 1, recall: 0.696, relative_absolute_error: 0.6863, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4744, root_relative_squared_error: 0.9488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.764, f_measure: 0.8068, kappa: 0.5591, kb_relative_information_score: 627340, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8112, predictive_accuracy: 0.8137, prior_entropy: 1, recall: 0.8137, relative_absolute_error: 0.3727, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.764, f_measure: 0.8069, kappa: 0.5591, kb_relative_information_score: 627354, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8112, predictive_accuracy: 0.8137, prior_entropy: 1, recall: 0.8137, relative_absolute_error: 0.3726, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8633,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8159, f_measure: 0.7642, kappa: 0.4631, kb_relative_information_score: 494650.7493, mean_absolute_error: 0.2583, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7646, predictive_accuracy: 0.771, prior_entropy: 1, recall: 0.771, relative_absolute_error: 0.5166, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.8348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, f_measure: 0.7073, kappa: 0.3327, kb_relative_information_score: 324451.1988, mean_absolute_error: 0.3572, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7644, predictive_accuracy: 0.7463, prior_entropy: 1, recall: 0.7463, relative_absolute_error: 0.7144, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4361, root_relative_squared_error: 0.8722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.761, f_measure: 0.7563, kappa: 0.4437, kb_relative_information_score: 420557.8149, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7579, predictive_accuracy: 0.765, prior_entropy: 1, recall: 0.765, relative_absolute_error: 0.6045, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4255, root_relative_squared_error: 0.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5275, kb_relative_information_score: 324164, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.4384, predictive_accuracy: 0.6621, prior_entropy: 1, recall: 0.6621, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5813, root_relative_squared_error: 1.1626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.762, f_measure: 0.7754, kappa: 0.4862, kb_relative_information_score: 417706.6054, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7803, predictive_accuracy: 0.7849, prior_entropy: 1, recall: 0.7849, relative_absolute_error: 0.6187, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7179, f_measure: 0.6969, kappa: 0.3206, kb_relative_information_score: 279552.2672, mean_absolute_error: 0.3709, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6961, predictive_accuracy: 0.6979, prior_entropy: 1, recall: 0.6979, relative_absolute_error: 0.7418, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4513, root_relative_squared_error: 0.9026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.727, f_measure: 0.7173, kappa: 0.3639, kb_relative_information_score: 246747.8855, mean_absolute_error: 0.3911, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7157, predictive_accuracy: 0.7194, prior_entropy: 1, recall: 0.7194, relative_absolute_error: 0.7823, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4475, root_relative_squared_error: 0.8951,

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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