Task
Supervised Data Stream Classification on BNG(soybean)

Supervised Data Stream Classification on BNG(soybean)

Task 174 Supervised Data Stream Classification BNG(soybean) 300 runs submitted
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  • ecmlpkdd2015 streamensembles streams streams-full study_11 study_16
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.8947, kappa: 0.8848, kb_relative_information_score: 892802.0728, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.8983, predictive_accuracy: 0.8947, prior_entropy: 4.2479, recall: 0.8947, relative_absolute_error: 0.1111, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.1053, root_relative_squared_error: 0.4714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.8947, kappa: 0.8848, kb_relative_information_score: 892802.0728, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.8983, predictive_accuracy: 0.8947, prior_entropy: 4.2479, recall: 0.8947, relative_absolute_error: 0.1111, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.1053, root_relative_squared_error: 0.4714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.8943, kappa: 0.8843, kb_relative_information_score: 892369.2688, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.898, predictive_accuracy: 0.8943, prior_entropy: 4.2479, recall: 0.8943, relative_absolute_error: 0.1116, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.1055, root_relative_squared_error: 0.4724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.8943, kappa: 0.8843, kb_relative_information_score: 905944.3553, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.898, predictive_accuracy: 0.8943, prior_entropy: 4.2479, recall: 0.8943, relative_absolute_error: 0.1353, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.0917, root_relative_squared_error: 0.4105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9042, kappa: 0.8953, kb_relative_information_score: 841036.5528, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.9107, predictive_accuracy: 0.9044, prior_entropy: 4.2479, recall: 0.9044, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.1074, root_relative_squared_error: 0.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9042, kappa: 0.8953, kb_relative_information_score: 841036.5528, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.9107, predictive_accuracy: 0.9044, prior_entropy: 4.2479, recall: 0.9044, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.1074, root_relative_squared_error: 0.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.8356, kappa: 0.8243, kb_relative_information_score: 858048.2061, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.8639, predictive_accuracy: 0.8409, prior_entropy: 4.2479, recall: 0.8409, relative_absolute_error: 0.2485, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.1087, root_relative_squared_error: 0.4866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.8039, kappa: 0.7873, kb_relative_information_score: 826546.286, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.8258, predictive_accuracy: 0.8058, prior_entropy: 4.2479, recall: 0.8058, relative_absolute_error: 0.248, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.1231, root_relative_squared_error: 0.5511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0017, kb_relative_information_score: 11799.3735, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.0009, predictive_accuracy: 0.0296, prior_entropy: 4.2479, recall: 0.0296, relative_absolute_error: 1.0243, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.3196, root_relative_squared_error: 1.4313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.8943, kappa: 0.8843, kb_relative_information_score: 905944.3553, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.898, predictive_accuracy: 0.8943, prior_entropy: 4.2479, recall: 0.8943, relative_absolute_error: 0.1353, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.0917, root_relative_squared_error: 0.4105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.8847, kappa: 0.8732, kb_relative_information_score: 878396.428, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.8921, predictive_accuracy: 0.8841, prior_entropy: 4.2479, recall: 0.8841, relative_absolute_error: 0.2166, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.0956, root_relative_squared_error: 0.4283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.919, kappa: 0.9113, kb_relative_information_score: 925177.2124, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.9221, predictive_accuracy: 0.9189, prior_entropy: 4.2479, recall: 0.9189, relative_absolute_error: 0.1314, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.3519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9193, kappa: 0.9115, kb_relative_information_score: 924664.4086, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.9223, predictive_accuracy: 0.9192, prior_entropy: 4.2479, recall: 0.9192, relative_absolute_error: 0.1333, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.3519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.9016, kappa: 0.892, kb_relative_information_score: 899461.1451, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.9083, predictive_accuracy: 0.9013, prior_entropy: 4.2479, recall: 0.9013, relative_absolute_error: 0.1042, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.1019, root_relative_squared_error: 0.4565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, f_measure: 0.9023, kappa: 0.8927, kb_relative_information_score: 900042.6301, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.9098, predictive_accuracy: 0.9018, prior_entropy: 4.2479, recall: 0.9018, relative_absolute_error: 0.1036, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.1016, root_relative_squared_error: 0.4552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.893, kappa: 0.8827, kb_relative_information_score: 890800.9906, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.8993, predictive_accuracy: 0.8928, prior_entropy: 4.2479, recall: 0.8928, relative_absolute_error: 0.1132, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.1062, root_relative_squared_error: 0.4758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.8991, kappa: 0.8894, kb_relative_information_score: 897018.0935, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.9051, predictive_accuracy: 0.8989, prior_entropy: 4.2479, recall: 0.8989, relative_absolute_error: 0.1067, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.1032, root_relative_squared_error: 0.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.9014, kappa: 0.8918, kb_relative_information_score: 899276.8215, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.908, predictive_accuracy: 0.9011, prior_entropy: 4.2479, recall: 0.9011, relative_absolute_error: 0.1044, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.102, root_relative_squared_error: 0.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.9014, kappa: 0.8918, kb_relative_information_score: 899258.491, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.9079, predictive_accuracy: 0.9011, prior_entropy: 4.2479, recall: 0.9011, relative_absolute_error: 0.1044, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.102, root_relative_squared_error: 0.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9073, kappa: 0.8985, kb_relative_information_score: 913222.4778, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.911, predictive_accuracy: 0.9072, prior_entropy: 4.2479, recall: 0.9072, relative_absolute_error: 0.14, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.0848, root_relative_squared_error: 0.3798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.9014, kappa: 0.8918, kb_relative_information_score: 899259.5094, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.9079, predictive_accuracy: 0.9011, prior_entropy: 4.2479, recall: 0.9011, relative_absolute_error: 0.1044, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.102, root_relative_squared_error: 0.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, f_measure: 0.8999, kappa: 0.8903, kb_relative_information_score: 897835.8386, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.9059, predictive_accuracy: 0.8997, prior_entropy: 4.2479, recall: 0.8997, relative_absolute_error: 0.1059, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.1028, root_relative_squared_error: 0.4602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.9002, kappa: 0.8906, kb_relative_information_score: 898136.2556, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.9062, predictive_accuracy: 0.9, prior_entropy: 4.2479, recall: 0.9, relative_absolute_error: 0.1056, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.1026, root_relative_squared_error: 0.4595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9073, kappa: 0.8985, kb_relative_information_score: 913222.4778, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.911, predictive_accuracy: 0.9072, prior_entropy: 4.2479, recall: 0.9072, relative_absolute_error: 0.14, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.0848, root_relative_squared_error: 0.3798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.9002, kappa: 0.8906, kb_relative_information_score: 898116.9067, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.9062, predictive_accuracy: 0.9, prior_entropy: 4.2479, recall: 0.9, relative_absolute_error: 0.1056, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.1026, root_relative_squared_error: 0.4596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, f_measure: 0.8898, kappa: 0.8793, kb_relative_information_score: 887671.5626, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.895, predictive_accuracy: 0.8897, prior_entropy: 4.2479, recall: 0.8897, relative_absolute_error: 0.1164, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.1078, root_relative_squared_error: 0.4826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9066, kappa: 0.8977, kb_relative_information_score: 912812.3497, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.9103, predictive_accuracy: 0.9065, prior_entropy: 4.2479, recall: 0.9065, relative_absolute_error: 0.1397, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.0851, root_relative_squared_error: 0.3812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.9016, kappa: 0.892, kb_relative_information_score: 899461.1451, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.9083, predictive_accuracy: 0.9013, prior_entropy: 4.2479, recall: 0.9013, relative_absolute_error: 0.1042, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.1019, root_relative_squared_error: 0.4565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9189, kappa: 0.9112, kb_relative_information_score: 924300.55, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.922, predictive_accuracy: 0.9189, prior_entropy: 4.2479, recall: 0.9189, relative_absolute_error: 0.1333, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.0789, root_relative_squared_error: 0.3534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9063, kappa: 0.8975, kb_relative_information_score: 912652.0853, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.91, predictive_accuracy: 0.9063, prior_entropy: 4.2479, recall: 0.9063, relative_absolute_error: 0.1396, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.0853, root_relative_squared_error: 0.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.9015, kappa: 0.8919, kb_relative_information_score: 899339.96, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.908, predictive_accuracy: 0.9012, prior_entropy: 4.2479, recall: 0.9012, relative_absolute_error: 0.1043, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.102, root_relative_squared_error: 0.4568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9063, kappa: 0.8975, kb_relative_information_score: 912652.0853, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.91, predictive_accuracy: 0.9063, prior_entropy: 4.2479, recall: 0.9063, relative_absolute_error: 0.1396, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.0853, root_relative_squared_error: 0.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.9002, kappa: 0.8906, kb_relative_information_score: 898136.2556, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.9062, predictive_accuracy: 0.9, prior_entropy: 4.2479, recall: 0.9, relative_absolute_error: 0.1056, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.1026, root_relative_squared_error: 0.4595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, f_measure: 0.8999, kappa: 0.8903, kb_relative_information_score: 897809.3612, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.9058, predictive_accuracy: 0.8997, prior_entropy: 4.2479, recall: 0.8997, relative_absolute_error: 0.1059, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.1028, root_relative_squared_error: 0.4603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9174, kappa: 0.9094, kb_relative_information_score: 922286.4363, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.9205, predictive_accuracy: 0.9173, prior_entropy: 4.2479, recall: 0.9173, relative_absolute_error: 0.1366, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.0799, root_relative_squared_error: 0.3579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.9014, kappa: 0.8918, kb_relative_information_score: 899277.8399, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.908, predictive_accuracy: 0.9011, prior_entropy: 4.2479, recall: 0.9011, relative_absolute_error: 0.1044, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.102, root_relative_squared_error: 0.4569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9113, kappa: 0.9029, kb_relative_information_score: 882841.5793, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.9166, predictive_accuracy: 0.9112, prior_entropy: 4.2479, recall: 0.9112, relative_absolute_error: 0.2298, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.088, root_relative_squared_error: 0.3941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9112, kappa: 0.9028, kb_relative_information_score: 882844.7716, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.9166, predictive_accuracy: 0.9112, prior_entropy: 4.2479, recall: 0.9112, relative_absolute_error: 0.2298, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.088, root_relative_squared_error: 0.3941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9014, kappa: 0.8918, kb_relative_information_score: 910364.3877, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.9073, predictive_accuracy: 0.9011, prior_entropy: 4.2479, recall: 0.9011, relative_absolute_error: 0.1206, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.0911, root_relative_squared_error: 0.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9065, kappa: 0.8977, kb_relative_information_score: 912712.3735, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.9103, predictive_accuracy: 0.9065, prior_entropy: 4.2479, recall: 0.9065, relative_absolute_error: 0.1402, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.0853, root_relative_squared_error: 0.3822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9065, kappa: 0.8977, kb_relative_information_score: 912712.3735, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.9103, predictive_accuracy: 0.9065, prior_entropy: 4.2479, recall: 0.9065, relative_absolute_error: 0.1402, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.0853, root_relative_squared_error: 0.3822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9112, kappa: 0.9028, kb_relative_information_score: 882906.0204, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.9166, predictive_accuracy: 0.9112, prior_entropy: 4.2479, recall: 0.9112, relative_absolute_error: 0.2296, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.0881, root_relative_squared_error: 0.3945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9014, kappa: 0.8918, kb_relative_information_score: 909980.0229, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.908, predictive_accuracy: 0.9011, prior_entropy: 4.2479, recall: 0.9011, relative_absolute_error: 0.1195, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.0915, root_relative_squared_error: 0.4097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9065, kappa: 0.8977, kb_relative_information_score: 912712.3735, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.9103, predictive_accuracy: 0.9065, prior_entropy: 4.2479, recall: 0.9065, relative_absolute_error: 0.1402, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.0853, root_relative_squared_error: 0.3822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9014, kappa: 0.8918, kb_relative_information_score: 910364.3877, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.9073, predictive_accuracy: 0.9011, prior_entropy: 4.2479, recall: 0.9011, relative_absolute_error: 0.1206, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.0911, root_relative_squared_error: 0.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9066, kappa: 0.8977, kb_relative_information_score: 912812.3497, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.9103, predictive_accuracy: 0.9065, prior_entropy: 4.2479, recall: 0.9065, relative_absolute_error: 0.1397, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.0851, root_relative_squared_error: 0.3812,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.8921, kappa: 0.8818, kb_relative_information_score: 903574.0763, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.8955, predictive_accuracy: 0.892, prior_entropy: 4.2479, ram_hours: 0.0001, recall: 0.892, relative_absolute_error: 0.1375, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.093, root_relative_squared_error: 0.4165, run_cpu_time: 170.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.772, kappa: 0.754, kb_relative_information_score: 770762.8413, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.7862, predictive_accuracy: 0.7756, prior_entropy: 4.2479, ram_hours: 0, recall: 0.7756, relative_absolute_error: 0.3013, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.1409, root_relative_squared_error: 0.6309, run_cpu_time: 22.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9052, kappa: 0.8962, kb_relative_information_score: 912895.3639, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.909, predictive_accuracy: 0.9052, prior_entropy: 4.2479, ram_hours: 0.0019, recall: 0.9052, relative_absolute_error: 0.1384, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.0858, root_relative_squared_error: 0.384, run_cpu_time: 507.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.8906, kappa: 0.8796, kb_relative_information_score: 899155.7876, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.8985, predictive_accuracy: 0.8899, prior_entropy: 4.2479, ram_hours: 0, recall: 0.8899, relative_absolute_error: 0.1319, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.0966, root_relative_squared_error: 0.4325, run_cpu_time: 89.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0017, kb_relative_information_score: 11799.3735, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.0009, predictive_accuracy: 0.0296, prior_entropy: 4.2479, ram_hours: 0, recall: 0.0296, relative_absolute_error: 1.0243, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.3196, root_relative_squared_error: 1.4313, run_cpu_time: 19.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5103, f_measure: 0.0252, kappa: 0.0205, kb_relative_information_score: 31853.986, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.0295, predictive_accuracy: 0.0493, prior_entropy: 4.2479, ram_hours: 0, recall: 0.0493, relative_absolute_error: 1.0035, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.3163, root_relative_squared_error: 1.4167, run_cpu_time: 14.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.8943, kappa: 0.8843, kb_relative_information_score: 905944.3553, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.898, predictive_accuracy: 0.8943, prior_entropy: 4.2479, ram_hours: 0, recall: 0.8943, relative_absolute_error: 0.1353, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.0917, root_relative_squared_error: 0.4105, run_cpu_time: 111.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.8141, kappa: 0.8033, kb_relative_information_score: 840269.0643, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.8493, predictive_accuracy: 0.8222, prior_entropy: 4.2479, ram_hours: 0.0025, recall: 0.8222, relative_absolute_error: 0.2785, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.5141, run_cpu_time: 12918.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9024, kappa: 0.8928, kb_relative_information_score: 909846.0315, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.91, predictive_accuracy: 0.9019, prior_entropy: 4.2479, ram_hours: 0, recall: 0.9019, relative_absolute_error: 0.1164, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.092, root_relative_squared_error: 0.4121, run_cpu_time: 90.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.814, kappa: 0.8033, kb_relative_information_score: 840221.5388, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.8491, predictive_accuracy: 0.8222, prior_entropy: 4.2479, ram_hours: 0.0001, recall: 0.8222, relative_absolute_error: 0.2785, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.5143, run_cpu_time: 638.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9139, kappa: 0.9057, kb_relative_information_score: 919071.8745, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0997, number_of_instances: 1000000, precision: 0.9173, predictive_accuracy: 0.9138, prior_entropy: 4.2479, ram_hours: 0.0099, recall: 0.9138, relative_absolute_error: 0.1407, root_mean_prior_squared_error: 0.2233, root_mean_squared_error: 0.0817, root_relative_squared_error: 0.3659, run_cpu_time: 911.95,

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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