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OpenML
Task
Supervised Data Stream Classification on BNG(bridges_version1)

Supervised Data Stream Classification on BNG(bridges_version1)

Task 2149 Supervised Data Stream Classification BNG(bridges_version1) 287 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • streamensembles streams study_11 study_16
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287 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.7241, kappa: 0.6412, kb_relative_information_score: 657678.4989, mean_absolute_error: 0.1216, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7247, predictive_accuracy: 0.7407, prior_entropy: 2.585, recall: 0.7407, relative_absolute_error: 0.4377, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2435, root_relative_squared_error: 0.6533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.039, kb_relative_information_score: 63124.3305, mean_absolute_error: 0.2834, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0224, predictive_accuracy: 0.1497, prior_entropy: 2.585, recall: 0.1497, relative_absolute_error: 1.0204, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5324, root_relative_squared_error: 1.4286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.6958, kappa: 0.602, kb_relative_information_score: 649376.2045, mean_absolute_error: 0.1205, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.6896, predictive_accuracy: 0.7062, prior_entropy: 2.585, recall: 0.7062, relative_absolute_error: 0.4337, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2608, root_relative_squared_error: 0.6999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5019, f_measure: 0.0458, kappa: 0.0035, kb_relative_information_score: 24650.9791, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0376, predictive_accuracy: 0.1147, prior_entropy: 2.585, recall: 0.1147, relative_absolute_error: 1.0624, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5431, root_relative_squared_error: 1.4572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.6986, kappa: 0.6111, kb_relative_information_score: 596363.1904, mean_absolute_error: 0.1445, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.6947, predictive_accuracy: 0.7103, prior_entropy: 2.585, recall: 0.7103, relative_absolute_error: 0.5203, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.261, root_relative_squared_error: 0.7003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.76, kappa: 0.6852, kb_relative_information_score: 699326.3165, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7566, predictive_accuracy: 0.7672, prior_entropy: 2.585, recall: 0.7672, relative_absolute_error: 0.3881, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.6259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.718, kappa: 0.634, kb_relative_information_score: 642528.4993, mean_absolute_error: 0.1301, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.726, predictive_accuracy: 0.7379, prior_entropy: 2.585, recall: 0.7379, relative_absolute_error: 0.4684, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.6617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.039, kb_relative_information_score: 63124.3305, mean_absolute_error: 0.2834, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0224, predictive_accuracy: 0.1497, prior_entropy: 2.585, recall: 0.1497, relative_absolute_error: 1.0204, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5324, root_relative_squared_error: 1.4286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, f_measure: 0.0451, kappa: 0.0027, kb_relative_information_score: 27891.5392, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.037, predictive_accuracy: 0.114, prior_entropy: 2.585, recall: 0.114, relative_absolute_error: 1.0621, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5341, root_relative_squared_error: 1.4331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.042, kappa: -0.0001, kb_relative_information_score: 21810.0627, mean_absolute_error: 0.2961, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0334, predictive_accuracy: 0.1117, prior_entropy: 2.585, recall: 0.1117, relative_absolute_error: 1.0661, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5417, root_relative_squared_error: 1.4535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.6621, kappa: 0.5731, kb_relative_information_score: 578955.4809, mean_absolute_error: 0.1472, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.6662, predictive_accuracy: 0.6931, prior_entropy: 2.585, recall: 0.6931, relative_absolute_error: 0.5299, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2638, root_relative_squared_error: 0.7079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.7307, kappa: 0.6471, kb_relative_information_score: 307474.5139, mean_absolute_error: 0.2357, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7262, predictive_accuracy: 0.7395, prior_entropy: 2.585, recall: 0.7395, relative_absolute_error: 0.8485, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.8764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6424, f_measure: 0.4027, kappa: 0.273, kb_relative_information_score: 361692.7953, mean_absolute_error: 0.2104, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.3258, predictive_accuracy: 0.546, prior_entropy: 2.585, recall: 0.546, relative_absolute_error: 0.7574, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.8785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7624, f_measure: 0.4928, kappa: 0.3488, kb_relative_information_score: 484389.134, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.4758, predictive_accuracy: 0.5292, prior_entropy: 2.585, recall: 0.5292, relative_absolute_error: 0.5935, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3396, root_relative_squared_error: 0.9112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6288, f_measure: 0.3834, kappa: 0.1659, kb_relative_information_score: 284794.3371, mean_absolute_error: 0.2305, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.3743, predictive_accuracy: 0.4237, prior_entropy: 2.585, recall: 0.4237, relative_absolute_error: 0.8299, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3542, root_relative_squared_error: 0.9505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.0266, kappa: -0, kb_relative_information_score: 59304.1198, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0149, predictive_accuracy: 0.1222, prior_entropy: 2.585, recall: 0.1222, relative_absolute_error: 1.0656, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.4543, root_relative_squared_error: 1.2189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7537, f_measure: 0.5901, kappa: 0.4748, kb_relative_information_score: 505015.6837, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.632, predictive_accuracy: 0.6423, prior_entropy: 2.585, recall: 0.6423, relative_absolute_error: 0.6057, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3014, root_relative_squared_error: 0.8089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, f_measure: 0.7327, kappa: 0.6521, kb_relative_information_score: 688616.621, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7282, predictive_accuracy: 0.743, prior_entropy: 2.585, recall: 0.743, relative_absolute_error: 0.3883, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2441, root_relative_squared_error: 0.6551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.67, f_measure: 0.403, kappa: 0.273, kb_relative_information_score: 356450.0801, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.4157, predictive_accuracy: 0.5462, prior_entropy: 2.585, recall: 0.5462, relative_absolute_error: 0.764, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.8741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.6446, kappa: 0.534, kb_relative_information_score: 592278.2563, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.6445, predictive_accuracy: 0.6674, prior_entropy: 2.585, recall: 0.6674, relative_absolute_error: 0.4905, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2815, root_relative_squared_error: 0.7553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.039, kb_relative_information_score: 63124.3305, mean_absolute_error: 0.2834, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0224, predictive_accuracy: 0.1497, prior_entropy: 2.585, recall: 0.1497, relative_absolute_error: 1.0204, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5324, root_relative_squared_error: 1.4286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.5783, kappa: 0.4666, kb_relative_information_score: 521899.562, mean_absolute_error: 0.1615, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.5672, predictive_accuracy: 0.6114, prior_entropy: 2.585, recall: 0.6114, relative_absolute_error: 0.5815, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.7849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6951, f_measure: 0.4235, kappa: 0.2276, kb_relative_information_score: 375576.8982, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.4122, predictive_accuracy: 0.4566, prior_entropy: 2.585, ram_hours: 0.0112, recall: 0.4566, relative_absolute_error: 0.736, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.354, root_relative_squared_error: 0.9498, run_cpu_time: 959.5351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.2473, kappa: -0.0002, kb_relative_information_score: 170671.1015, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.2473, predictive_accuracy: 0.2473, prior_entropy: 2.585, ram_hours: 0, recall: 0.2473, relative_absolute_error: 0.9033, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.3441, run_cpu_time: 6.9528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8427, f_measure: 0.6104, kappa: 0.4851, kb_relative_information_score: 556582.465, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.6083, predictive_accuracy: 0.6318, prior_entropy: 2.585, ram_hours: 0.103, recall: 0.6318, relative_absolute_error: 0.538, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.7919, run_cpu_time: 720.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5021, f_measure: 0.0461, kappa: 0.0039, kb_relative_information_score: 24989.264, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0379, predictive_accuracy: 0.115, prior_entropy: 2.585, ram_hours: 0, recall: 0.115, relative_absolute_error: 1.062, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5431, root_relative_squared_error: 1.4574, run_cpu_time: 3.2751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.5717, kappa: 0.4299, kb_relative_information_score: 462782.6218, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.5661, predictive_accuracy: 0.584, prior_entropy: 2.585, ram_hours: 0.473, recall: 0.584, relative_absolute_error: 0.6672, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.8233, run_cpu_time: 2649.4245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.2516, kappa: -0, kb_relative_information_score: 201809.2857, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.179, predictive_accuracy: 0.4231, prior_entropy: 2.585, ram_hours: 0, recall: 0.4231, relative_absolute_error: 0.9032, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3542, root_relative_squared_error: 0.9503, run_cpu_time: 6.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, f_measure: 0.7038, kappa: 0.6149, kb_relative_information_score: 662991.1877, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.6977, predictive_accuracy: 0.7171, prior_entropy: 2.585, ram_hours: 0, recall: 0.7171, relative_absolute_error: 0.4122, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.257, root_relative_squared_error: 0.6895, run_cpu_time: 16.9463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.6663, kappa: 0.5684, kb_relative_information_score: 627993.7812, mean_absolute_error: 0.1293, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.6662, predictive_accuracy: 0.6918, prior_entropy: 2.585, ram_hours: 0, recall: 0.6918, relative_absolute_error: 0.4655, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2637, root_relative_squared_error: 0.7077, run_cpu_time: 241.4767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.039, kb_relative_information_score: 63124.3305, mean_absolute_error: 0.2834, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0224, predictive_accuracy: 0.1497, prior_entropy: 2.585, ram_hours: 0.0003, recall: 0.1497, relative_absolute_error: 1.0204, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5324, root_relative_squared_error: 1.4286, run_cpu_time: 32.2044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7737, f_measure: 0.5635, kappa: 0.4238, kb_relative_information_score: 517507.1912, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.5564, predictive_accuracy: 0.5825, prior_entropy: 2.585, ram_hours: 0, recall: 0.5825, relative_absolute_error: 0.5613, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3325, root_relative_squared_error: 0.8923, run_cpu_time: 55.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.7328, kappa: 0.6522, kb_relative_information_score: 688978.9201, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7283, predictive_accuracy: 0.7431, prior_entropy: 2.585, ram_hours: 0, recall: 0.7431, relative_absolute_error: 0.3877, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2441, root_relative_squared_error: 0.655, run_cpu_time: 16.6758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.5593, kappa: 0.4308, kb_relative_information_score: 485120.9031, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.56, predictive_accuracy: 0.6029, prior_entropy: 2.585, ram_hours: 0, recall: 0.6029, relative_absolute_error: 0.6248, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3054, root_relative_squared_error: 0.8196, run_cpu_time: 17.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.0424, kappa: -0.0003, kb_relative_information_score: 20988.7894, mean_absolute_error: 0.2962, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.034, predictive_accuracy: 0.1114, prior_entropy: 2.585, ram_hours: 0, recall: 0.1114, relative_absolute_error: 1.0663, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5442, root_relative_squared_error: 1.4604, run_cpu_time: 5.1565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, f_measure: 0.6879, kappa: 0.588, kb_relative_information_score: 311192.1878, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.6838, predictive_accuracy: 0.6937, prior_entropy: 2.585, ram_hours: 0, recall: 0.6937, relative_absolute_error: 0.8465, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.8846, run_cpu_time: 20.7042,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.5783, kappa: 0.4666, kb_relative_information_score: 521899.562, mean_absolute_error: 0.1615, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.5672, predictive_accuracy: 0.6114, prior_entropy: 2.585, ram_hours: 0, recall: 0.6114, relative_absolute_error: 0.5815, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.7849, run_cpu_time: 9.0534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.6306, kappa: 0.5159, kb_relative_information_score: 590219.6308, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.626, predictive_accuracy: 0.6498, prior_entropy: 2.585, ram_hours: 0.0006, recall: 0.6498, relative_absolute_error: 0.4839, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.8066, run_cpu_time: 52.5045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.5592, kappa: 0.4153, kb_relative_information_score: 477884.1352, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.5618, predictive_accuracy: 0.5911, prior_entropy: 2.585, ram_hours: 0.0124, recall: 0.5911, relative_absolute_error: 0.6452, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3032, root_relative_squared_error: 0.8136, run_cpu_time: 675.6841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5855, f_measure: 0.3253, kappa: 0.0802, kb_relative_information_score: 238933.065, mean_absolute_error: 0.2414, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.3727, predictive_accuracy: 0.4311, prior_entropy: 2.585, ram_hours: 0.0006, recall: 0.4311, relative_absolute_error: 0.869, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3511, root_relative_squared_error: 0.9422, run_cpu_time: 83.5251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2518, kappa: -0, kb_relative_information_score: 203432.9162, mean_absolute_error: 0.2505, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.2015, predictive_accuracy: 0.4229, prior_entropy: 2.585, ram_hours: 0, recall: 0.4229, relative_absolute_error: 0.902, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3542, root_relative_squared_error: 0.9504, run_cpu_time: 9.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.6671, kappa: 0.5693, kb_relative_information_score: 628003.952, mean_absolute_error: 0.1293, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.6668, predictive_accuracy: 0.6924, prior_entropy: 2.585, ram_hours: 0.0005, recall: 0.6924, relative_absolute_error: 0.4655, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2637, root_relative_squared_error: 0.7075, run_cpu_time: 3729.3537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.039, kb_relative_information_score: 63060.8228, mean_absolute_error: 0.2834, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0224, predictive_accuracy: 0.1497, prior_entropy: 2.585, ram_hours: 0.0013, recall: 0.1497, relative_absolute_error: 1.0204, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5323, root_relative_squared_error: 1.4282, run_cpu_time: 57.1209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.6671, kappa: 0.5693, kb_relative_information_score: 628003.952, mean_absolute_error: 0.1293, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.6668, predictive_accuracy: 0.6924, prior_entropy: 2.585, ram_hours: 0.0005, recall: 0.6924, relative_absolute_error: 0.4655, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2637, root_relative_squared_error: 0.7075, run_cpu_time: 3595.9626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.6234, kappa: 0.5001, kb_relative_information_score: 513519.9068, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.6193, predictive_accuracy: 0.6332, prior_entropy: 2.585, ram_hours: 0.1077, recall: 0.6332, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.7909, run_cpu_time: 743.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.6306, kappa: 0.5159, kb_relative_information_score: 590219.6308, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.626, predictive_accuracy: 0.6498, prior_entropy: 2.585, ram_hours: 0.0008, recall: 0.6498, relative_absolute_error: 0.4839, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.8066, run_cpu_time: 64.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.4946, kappa: 0.355, kb_relative_information_score: 476330.4494, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.4856, predictive_accuracy: 0.5248, prior_entropy: 2.585, ram_hours: 0, recall: 0.5248, relative_absolute_error: 0.5703, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3978, root_relative_squared_error: 1.0675, run_cpu_time: 7.17,

    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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