Task
Supervised Data Stream Classification on BNG(spect_test)

Supervised Data Stream Classification on BNG(spect_test)

Task 7278 Supervised Data Stream Classification BNG(spect_test) 45 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.8884, kappa: 0.1378, kb_relative_information_score: 739028.8575, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8873, predictive_accuracy: 0.9157, prior_entropy: 1, recall: 0.9157, relative_absolute_error: 0.2859, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2587, root_relative_squared_error: 0.5173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7497, f_measure: 0.885, kappa: 0.1302, kb_relative_information_score: 743957.6033, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8751, predictive_accuracy: 0.9087, prior_entropy: 1, recall: 0.9087, relative_absolute_error: 0.2812, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.5435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7491, f_measure: 0.8713, kappa: 0.2391, kb_relative_information_score: 667061.8806, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8835, predictive_accuracy: 0.8612, prior_entropy: 1, recall: 0.8612, relative_absolute_error: 0.347, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.8748, kappa: 0.0006, kb_relative_information_score: 745660.021, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8469, predictive_accuracy: 0.9145, prior_entropy: 1, recall: 0.9145, relative_absolute_error: 0.2764, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.5298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6927, f_measure: 0.875, kappa: -0, kb_relative_information_score: 733431.287, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.838, predictive_accuracy: 0.9154, prior_entropy: 1, recall: 0.9154, relative_absolute_error: 0.2956, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.5433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0132, kb_relative_information_score: -830874, mean_absolute_error: 0.9154, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.0072, predictive_accuracy: 0.0846, prior_entropy: 1, recall: 0.0846, relative_absolute_error: 1.8309, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.9568, root_relative_squared_error: 1.9136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.875, kappa: -0, kb_relative_information_score: 830872, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.838, predictive_accuracy: 0.9154, prior_entropy: 1, recall: 0.9154, relative_absolute_error: 0.1691, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5872, f_measure: 0.8744, kappa: 0.0773, kb_relative_information_score: 778625.2481, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8597, predictive_accuracy: 0.8943, prior_entropy: 1, recall: 0.8943, relative_absolute_error: 0.2249, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3009, root_relative_squared_error: 0.6017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.8882, kappa: 0.1947, kb_relative_information_score: 765313.0102, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8792, predictive_accuracy: 0.9027, prior_entropy: 1, recall: 0.9027, relative_absolute_error: 0.2479, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.271, root_relative_squared_error: 0.5421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8748, kappa: -0, kb_relative_information_score: 829210, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8451, predictive_accuracy: 0.9146, prior_entropy: 1, recall: 0.9146, relative_absolute_error: 0.1708, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2922, root_relative_squared_error: 0.5844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6935, f_measure: 0.8748, kappa: -0, kb_relative_information_score: 732396.664, mean_absolute_error: 0.1482, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8451, predictive_accuracy: 0.9146, prior_entropy: 1, recall: 0.9146, relative_absolute_error: 0.2965, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2733, root_relative_squared_error: 0.5466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8748, kappa: -0, kb_relative_information_score: 829210, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8451, predictive_accuracy: 0.9146, prior_entropy: 1, recall: 0.9146, relative_absolute_error: 0.1708, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2922, root_relative_squared_error: 0.5844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.8898, kappa: 0.141, kb_relative_information_score: 768796.5496, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8982, predictive_accuracy: 0.9188, prior_entropy: 1, recall: 0.9188, relative_absolute_error: 0.2496, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2517, root_relative_squared_error: 0.5035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 0.9999, kb_relative_information_score: 996151.4744, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0053, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0064, root_relative_squared_error: 0.0128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8748, kappa: -0, kb_relative_information_score: 724865.0523, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8451, predictive_accuracy: 0.9146, prior_entropy: 1, recall: 0.9146, relative_absolute_error: 0.3095, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2785, root_relative_squared_error: 0.5571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7486, f_measure: 0.8716, kappa: 0.2393, kb_relative_information_score: 666590.6237, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8834, predictive_accuracy: 0.8616, prior_entropy: 1, recall: 0.8616, relative_absolute_error: 0.3478, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3159, root_relative_squared_error: 0.6318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6926, f_measure: 0.875, kappa: -0, kb_relative_information_score: 733462.9164, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.838, predictive_accuracy: 0.9154, prior_entropy: 1, recall: 0.9154, relative_absolute_error: 0.2955, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.5433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, f_measure: 0.9028, kappa: 0.2615, kb_relative_information_score: 785927.3168, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9082, predictive_accuracy: 0.9236, prior_entropy: 1, recall: 0.9236, relative_absolute_error: 0.2295, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2413, root_relative_squared_error: 0.4826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0132, kb_relative_information_score: -830874, mean_absolute_error: 0.9154, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.0072, predictive_accuracy: 0.0846, prior_entropy: 1, recall: 0.0846, relative_absolute_error: 1.8309, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.9568, root_relative_squared_error: 1.9136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0132, kb_relative_information_score: -830874, mean_absolute_error: 0.9154, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.0072, predictive_accuracy: 0.0846, prior_entropy: 1, recall: 0.0846, relative_absolute_error: 1.8309, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.9568, root_relative_squared_error: 1.9136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8748, kappa: -0, kb_relative_information_score: 724865.0523, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8451, predictive_accuracy: 0.9146, prior_entropy: 1, recall: 0.9146, relative_absolute_error: 0.3095, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2785, root_relative_squared_error: 0.5571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8748, kappa: -0, kb_relative_information_score: 830042, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8451, predictive_accuracy: 0.9146, prior_entropy: 1, recall: 0.9146, relative_absolute_error: 0.17, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.5822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0132, kb_relative_information_score: -830042, mean_absolute_error: 0.915, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.0072, predictive_accuracy: 0.0846, prior_entropy: 1, recall: 0.0846, relative_absolute_error: 1.83, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.9564, root_relative_squared_error: 1.9129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7341, f_measure: 0.8637, kappa: 0.2187, kb_relative_information_score: 657039.0733, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.881, predictive_accuracy: 0.8498, prior_entropy: 1, recall: 0.8498, relative_absolute_error: 0.3548, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3285, root_relative_squared_error: 0.6571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8748, kappa: -0, kb_relative_information_score: 830042, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8451, predictive_accuracy: 0.9146, prior_entropy: 1, recall: 0.9146, relative_absolute_error: 0.17, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.5822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7728, f_measure: 0.8842, kappa: 0.1473, kb_relative_information_score: 752471.8834, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8732, predictive_accuracy: 0.9029, prior_entropy: 1, recall: 0.9029, relative_absolute_error: 0.2664, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2745, root_relative_squared_error: 0.5491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8748, kappa: -0, kb_relative_information_score: 724865.0523, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8451, predictive_accuracy: 0.9146, prior_entropy: 1, recall: 0.9146, relative_absolute_error: 0.3095, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2785, root_relative_squared_error: 0.5571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5015, f_measure: 0.8751, kappa: 0.0055, kb_relative_information_score: 827988, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8541, predictive_accuracy: 0.914, prior_entropy: 1, recall: 0.914, relative_absolute_error: 0.172, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.5865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.875, kappa: -0, kb_relative_information_score: 724635.0302, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.838, predictive_accuracy: 0.9154, prior_entropy: 1, recall: 0.9154, relative_absolute_error: 0.3101, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2782, root_relative_squared_error: 0.5565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.8452, kappa: 0.0003, kb_relative_information_score: 690446, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8452, predictive_accuracy: 0.8452, prior_entropy: 1, recall: 0.8452, relative_absolute_error: 0.3096, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3934, root_relative_squared_error: 0.7868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7812, f_measure: 0.8783, kappa: 0.032, kb_relative_information_score: 747776.3757, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8893, predictive_accuracy: 0.9159, prior_entropy: 1, recall: 0.9159, relative_absolute_error: 0.2756, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2638, root_relative_squared_error: 0.5275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.903, kappa: 0.2636, kb_relative_information_score: 786231.8616, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9075, predictive_accuracy: 0.9234, prior_entropy: 1, recall: 0.9234, relative_absolute_error: 0.2291, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.4831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0132, kb_relative_information_score: -830874, mean_absolute_error: 0.9154, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.0072, predictive_accuracy: 0.0846, prior_entropy: 1, recall: 0.0846, relative_absolute_error: 1.8309, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.9568, root_relative_squared_error: 1.9136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.9028, kappa: 0.2614, kb_relative_information_score: 785932.2833, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.908, predictive_accuracy: 0.9236, prior_entropy: 1, recall: 0.9236, relative_absolute_error: 0.2295, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2414, root_relative_squared_error: 0.4828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5901, f_measure: 0.8748, kappa: 0.0002, kb_relative_information_score: 728964.5206, mean_absolute_error: 0.1516, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8459, predictive_accuracy: 0.9147, prior_entropy: 1, recall: 0.9147, relative_absolute_error: 0.3032, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2786, root_relative_squared_error: 0.5571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8057, f_measure: 0.8952, kappa: 0.2841, kb_relative_information_score: 605428.9335, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8902, predictive_accuracy: 0.9016, prior_entropy: 1, recall: 0.9016, relative_absolute_error: 0.439, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.5812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8768, f_measure: 0.9038, kappa: 0.3901, kb_relative_information_score: 486726.749, mean_absolute_error: 0.2867, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9057, predictive_accuracy: 0.902, prior_entropy: 1, recall: 0.902, relative_absolute_error: 0.5734, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.6355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, f_measure: 0.9013, kappa: 0.2426, kb_relative_information_score: 783450.988, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9113, predictive_accuracy: 0.9242, prior_entropy: 1, recall: 0.9242, relative_absolute_error: 0.2331, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.4795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, f_measure: 0.9013, kappa: 0.2426, kb_relative_information_score: 783450.988, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9113, predictive_accuracy: 0.9242, prior_entropy: 1, recall: 0.9242, relative_absolute_error: 0.2331, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.4795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.9036, kappa: 0.2654, kb_relative_information_score: 788941.8568, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9107, predictive_accuracy: 0.9245, prior_entropy: 1, recall: 0.9245, relative_absolute_error: 0.226, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2382, root_relative_squared_error: 0.4765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7637, f_measure: 0.8771, kappa: 0.0265, kb_relative_information_score: 740031.7218, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8665, predictive_accuracy: 0.9137, prior_entropy: 1, recall: 0.9137, relative_absolute_error: 0.2817, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.5355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7633, f_measure: 0.8773, kappa: 0.0296, kb_relative_information_score: 740027.2136, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8669, predictive_accuracy: 0.9136, prior_entropy: 1, recall: 0.9136, relative_absolute_error: 0.2817, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.5356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.9028, kappa: 0.2614, kb_relative_information_score: 785932.2833, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.908, predictive_accuracy: 0.9236, prior_entropy: 1, recall: 0.9236, relative_absolute_error: 0.2295, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2414, root_relative_squared_error: 0.4828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.875, kappa: -0, kb_relative_information_score: 830872, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.838, predictive_accuracy: 0.9154, prior_entropy: 1, recall: 0.9154, relative_absolute_error: 0.1691, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.749, f_measure: 0.8713, kappa: 0.2393, kb_relative_information_score: 666971.9198, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8835, predictive_accuracy: 0.8612, prior_entropy: 1, recall: 0.8612, relative_absolute_error: 0.3471, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3166, root_relative_squared_error: 0.6332,

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    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.

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