Task
Supervised Data Stream Classification on BNG(labor,nominal,1000000)

Supervised Data Stream Classification on BNG(labor,nominal,1000000)

Task 123 Supervised Data Stream Classification BNG(labor,nominal,1000000) 45 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

45 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.944, kappa: 0.8772, kb_relative_information_score: 885439.5676, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.944, predictive_accuracy: 0.9441, prior_entropy: 1, recall: 0.9441, relative_absolute_error: 0.1152, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.4396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9451, kappa: 0.88, kb_relative_information_score: 882834.0879, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9451, predictive_accuracy: 0.9451, prior_entropy: 1, recall: 0.9451, relative_absolute_error: 0.1188, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.213, root_relative_squared_error: 0.4259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9044, kappa: 0.7879, kb_relative_information_score: 684936.8181, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9094, predictive_accuracy: 0.9066, prior_entropy: 1, recall: 0.9066, relative_absolute_error: 0.3466, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2642, root_relative_squared_error: 0.5284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9315, kappa: 0.8507, kb_relative_information_score: 821909.0128, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9318, predictive_accuracy: 0.9313, prior_entropy: 1, recall: 0.9313, relative_absolute_error: 0.1887, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.4508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9445, kappa: 0.8785, kb_relative_information_score: 845564.6148, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9444, predictive_accuracy: 0.9446, prior_entropy: 1, recall: 0.9446, relative_absolute_error: 0.1657, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.4083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1855, kb_relative_information_score: -291040, mean_absolute_error: 0.6455, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.1257, predictive_accuracy: 0.3545, prior_entropy: 1, recall: 0.3545, relative_absolute_error: 1.291, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.8034, root_relative_squared_error: 1.6069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.918, kappa: 0.8188, kb_relative_information_score: 838441.3361, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9203, predictive_accuracy: 0.9192, prior_entropy: 1, recall: 0.9192, relative_absolute_error: 0.1616, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.284, root_relative_squared_error: 0.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.909, kappa: 0.8015, kb_relative_information_score: 761380.4674, mean_absolute_error: 0.1264, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9092, predictive_accuracy: 0.9089, prior_entropy: 1, recall: 0.9089, relative_absolute_error: 0.2528, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.5456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.95, kappa: 0.8911, kb_relative_information_score: 851423.6878, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9502, predictive_accuracy: 0.9499, prior_entropy: 1, recall: 0.9499, relative_absolute_error: 0.163, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.3882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9482, kappa: 0.8872, kb_relative_information_score: 852455.645, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9485, predictive_accuracy: 0.9481, prior_entropy: 1, recall: 0.9481, relative_absolute_error: 0.1602, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.3981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7663, f_measure: 0.8112, kappa: 0.5788, kb_relative_information_score: 484649.2576, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8511, predictive_accuracy: 0.8263, prior_entropy: 1, recall: 0.8263, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3732, root_relative_squared_error: 0.7464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7808, f_measure: 0.8137, kappa: 0.584, kb_relative_information_score: 651957.795, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8412, predictive_accuracy: 0.8261, prior_entropy: 1, recall: 0.8261, relative_absolute_error: 0.3481, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.409, root_relative_squared_error: 0.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.947, kappa: 0.8846, kb_relative_information_score: 839486.1089, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9474, predictive_accuracy: 0.9468, prior_entropy: 1, recall: 0.9468, relative_absolute_error: 0.176, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.4009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9331, kappa: 0.8535, kb_relative_information_score: 862221.3824, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.933, predictive_accuracy: 0.9332, prior_entropy: 1, recall: 0.9332, relative_absolute_error: 0.1388, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.4846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.9383, kappa: 0.865, kb_relative_information_score: 822292.5308, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9383, predictive_accuracy: 0.9384, prior_entropy: 1, recall: 0.9384, relative_absolute_error: 0.1965, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2384, root_relative_squared_error: 0.4768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.7871, kappa: 0.5387, kb_relative_information_score: 482866.7296, mean_absolute_error: 0.2683, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7896, predictive_accuracy: 0.7856, prior_entropy: 1, recall: 0.7856, relative_absolute_error: 0.5366, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.7953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8021, f_measure: 0.8115, kappa: 0.5793, kb_relative_information_score: 512016.3352, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8516, predictive_accuracy: 0.8266, prior_entropy: 1, recall: 0.8266, relative_absolute_error: 0.5259, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.7253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9607, kappa: 0.914, kb_relative_information_score: 890336.6926, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9606, predictive_accuracy: 0.9607, prior_entropy: 1, recall: 0.9607, relative_absolute_error: 0.1182, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.175, root_relative_squared_error: 0.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1855, kb_relative_information_score: -291040, mean_absolute_error: 0.6455, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.1257, predictive_accuracy: 0.3545, prior_entropy: 1, recall: 0.3545, relative_absolute_error: 1.291, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.8034, root_relative_squared_error: 1.6069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.9336, kappa: 0.8552, kb_relative_information_score: 813450.5458, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9338, predictive_accuracy: 0.9334, prior_entropy: 1, recall: 0.9334, relative_absolute_error: 0.2032, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2457, root_relative_squared_error: 0.4915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.9103, kappa: 0.8036, kb_relative_information_score: 769757.6012, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9102, predictive_accuracy: 0.9106, prior_entropy: 1, ram_hours: 0, recall: 0.9106, relative_absolute_error: 0.245, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2646, root_relative_squared_error: 0.5291, run_cpu_time: 8.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.8606, kappa: 0.6909, kb_relative_information_score: 629619.1024, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8642, predictive_accuracy: 0.8638, prior_entropy: 1, ram_hours: 0, recall: 0.8638, relative_absolute_error: 0.3935, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6317, run_cpu_time: 79.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.9372, kappa: 0.8625, kb_relative_information_score: 874790, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9371, predictive_accuracy: 0.9372, prior_entropy: 1, ram_hours: 0, recall: 0.9372, relative_absolute_error: 0.1252, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.4994, run_cpu_time: 10.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1855, kb_relative_information_score: -291040, mean_absolute_error: 0.6455, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.1257, predictive_accuracy: 0.3545, prior_entropy: 1, ram_hours: 0, recall: 0.3545, relative_absolute_error: 1.291, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.8034, root_relative_squared_error: 1.6069, run_cpu_time: 8.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.5065, kappa: -0, kb_relative_information_score: 107149.0206, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.5053, predictive_accuracy: 0.6455, prior_entropy: 1, ram_hours: 0, recall: 0.6455, relative_absolute_error: 0.9154, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4784, root_relative_squared_error: 0.9567, run_cpu_time: 8.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7861, f_measure: 0.8197, kappa: 0.5991, kb_relative_information_score: 650286, mean_absolute_error: 0.1749, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8243, predictive_accuracy: 0.825, prior_entropy: 1, ram_hours: 0, recall: 0.825, relative_absolute_error: 0.3497, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4179, root_relative_squared_error: 0.8357, run_cpu_time: 6.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9193, f_measure: 0.9279, kappa: 0.8421, kb_relative_information_score: 856090, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9278, predictive_accuracy: 0.928, prior_entropy: 1, ram_hours: 0, recall: 0.928, relative_absolute_error: 0.1439, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2682, root_relative_squared_error: 0.5365, run_cpu_time: 8.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9525, kappa: 0.8962, kb_relative_information_score: 738186.0429, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9525, predictive_accuracy: 0.9525, prior_entropy: 1, ram_hours: 0.0147, recall: 0.9525, relative_absolute_error: 0.3003, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.4375, run_cpu_time: 576.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9606, kappa: 0.9139, kb_relative_information_score: 890274.2874, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9606, predictive_accuracy: 0.9607, prior_entropy: 1, ram_hours: 0, recall: 0.9607, relative_absolute_error: 0.1183, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.3502, run_cpu_time: 19.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.9336, kappa: 0.8552, kb_relative_information_score: 813450.5458, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9338, predictive_accuracy: 0.9334, prior_entropy: 1, ram_hours: 0, recall: 0.9334, relative_absolute_error: 0.2032, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2457, root_relative_squared_error: 0.4915, run_cpu_time: 10.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.962, kappa: 0.917, kb_relative_information_score: 888902.291, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.962, predictive_accuracy: 0.9621, prior_entropy: 1, ram_hours: 0.0003, recall: 0.9621, relative_absolute_error: 0.121, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.3398, run_cpu_time: 96.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9605, kappa: 0.9137, kb_relative_information_score: 891155.3728, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9605, predictive_accuracy: 0.9606, prior_entropy: 1, ram_hours: 0, recall: 0.9606, relative_absolute_error: 0.1171, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.3513, run_cpu_time: 38.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.5427, kappa: 0.0008, kb_relative_information_score: 85454, mean_absolute_error: 0.4573, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.5427, predictive_accuracy: 0.5427, prior_entropy: 1, ram_hours: 0, recall: 0.5427, relative_absolute_error: 0.9145, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6762, root_relative_squared_error: 1.3524, run_cpu_time: 6.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.959, kappa: 0.9103, kb_relative_information_score: 652429.0927, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.959, predictive_accuracy: 0.959, prior_entropy: 1, ram_hours: 0.0006, recall: 0.959, relative_absolute_error: 0.4013, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2458, root_relative_squared_error: 0.4915, run_cpu_time: 99.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1855, kb_relative_information_score: -291040, mean_absolute_error: 0.6455, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.1257, predictive_accuracy: 0.3545, prior_entropy: 1, ram_hours: 0, recall: 0.3545, relative_absolute_error: 1.291, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.8034, root_relative_squared_error: 1.6069, run_cpu_time: 9.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9285, kappa: 0.8439, kb_relative_information_score: 818809.1558, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9286, predictive_accuracy: 0.9284, prior_entropy: 1, ram_hours: 0, recall: 0.9284, relative_absolute_error: 0.192, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2262, root_relative_squared_error: 0.4525, run_cpu_time: 10.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9214, kappa: 0.8277, kb_relative_information_score: 782218.6847, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9213, predictive_accuracy: 0.9216, prior_entropy: 1, ram_hours: 0, recall: 0.9216, relative_absolute_error: 0.2332, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.4874, run_cpu_time: 10.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9621, kappa: 0.917, kb_relative_information_score: 888371.697, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.962, predictive_accuracy: 0.9621, prior_entropy: 1, ram_hours: 0.0004, recall: 0.9621, relative_absolute_error: 0.1217, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.3401, run_cpu_time: 118.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1855, kb_relative_information_score: -290724, mean_absolute_error: 0.6454, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.1257, predictive_accuracy: 0.3545, prior_entropy: 1, ram_hours: 0.0021, recall: 0.3545, relative_absolute_error: 1.2907, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.8032, root_relative_squared_error: 1.6064, run_cpu_time: 75.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9415, kappa: 0.8716, kb_relative_information_score: 800205.3664, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9418, predictive_accuracy: 0.9419, prior_entropy: 1, ram_hours: 0.0008, recall: 0.9419, relative_absolute_error: 0.2182, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.4273, run_cpu_time: 5692.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9606, kappa: 0.9139, kb_relative_information_score: 890274.2874, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9606, predictive_accuracy: 0.9607, prior_entropy: 1, ram_hours: 0, recall: 0.9607, relative_absolute_error: 0.1183, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.3502, run_cpu_time: 12.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.918, kappa: 0.8189, kb_relative_information_score: 838532, mean_absolute_error: 0.0807, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9203, predictive_accuracy: 0.9193, prior_entropy: 1, ram_hours: 0, recall: 0.9193, relative_absolute_error: 0.1615, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2841, root_relative_squared_error: 0.5683, run_cpu_time: 6.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9313, kappa: 0.8504, kb_relative_information_score: 821930.6005, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9317, predictive_accuracy: 0.9312, prior_entropy: 1, ram_hours: 0, recall: 0.9312, relative_absolute_error: 0.1886, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.4508, run_cpu_time: 10.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9418, kappa: 0.8721, kb_relative_information_score: 800187.8444, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.942, predictive_accuracy: 0.9421, prior_entropy: 1, ram_hours: 0, recall: 0.9421, relative_absolute_error: 0.2182, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.4274, run_cpu_time: 370.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9634, kappa: 0.92, kb_relative_information_score: 895796.9864, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9634, predictive_accuracy: 0.9634, prior_entropy: 1, ram_hours: 0.0028, recall: 0.9634, relative_absolute_error: 0.1127, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.3342, run_cpu_time: 209.88,

    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)

    How to submit runs

    Using your favorite machine learning environment

    Download this task directly in your environment and automatically upload your results

    OpenML bootcamp

    From your own software

    Use one of our APIs to download data from OpenML and upload your results

    OpenML APIs