Task
Supervised Data Stream Classification on BNG(wine)

Supervised Data Stream Classification on BNG(wine)

Task 6707 Supervised Data Stream Classification BNG(wine) 312 runs submitted
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  • ecmlpkdd2015 streamensembles streams study_11 study_16
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9202, kappa: 0.8789, kb_relative_information_score: 876553.6181, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.9202, predictive_accuracy: 0.9202, prior_entropy: 1.585, recall: 0.9202, relative_absolute_error: 0.1421, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.206, root_relative_squared_error: 0.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.9213, kappa: 0.8805, kb_relative_information_score: 892285.6602, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.9213, predictive_accuracy: 0.9213, prior_entropy: 1.585, recall: 0.9213, relative_absolute_error: 0.118, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.229, root_relative_squared_error: 0.4858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.9213, kappa: 0.8805, kb_relative_information_score: 892285.6602, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.9213, predictive_accuracy: 0.9213, prior_entropy: 1.585, recall: 0.9213, relative_absolute_error: 0.118, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.229, root_relative_squared_error: 0.4858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.9321, kappa: 0.8969, kb_relative_information_score: 907031.9158, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.9321, predictive_accuracy: 0.9321, prior_entropy: 1.585, recall: 0.9321, relative_absolute_error: 0.1019, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.4514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.9326, kappa: 0.8977, kb_relative_information_score: 907727.4035, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.9326, predictive_accuracy: 0.9326, prior_entropy: 1.585, recall: 0.9326, relative_absolute_error: 0.1011, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.212, root_relative_squared_error: 0.4497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.9327, kappa: 0.8979, kb_relative_information_score: 907893.061, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.9327, predictive_accuracy: 0.9327, prior_entropy: 1.585, recall: 0.9327, relative_absolute_error: 0.1009, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.4493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.9327, kappa: 0.8979, kb_relative_information_score: 907878.0013, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.9327, predictive_accuracy: 0.9327, prior_entropy: 1.585, recall: 0.9327, relative_absolute_error: 0.1009, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.4493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.9213, kappa: 0.8805, kb_relative_information_score: 892285.6602, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.9213, predictive_accuracy: 0.9213, prior_entropy: 1.585, recall: 0.9213, relative_absolute_error: 0.118, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.229, root_relative_squared_error: 0.4858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.9172, kappa: 0.8743, kb_relative_information_score: 886621.8166, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.9172, predictive_accuracy: 0.9172, prior_entropy: 1.585, recall: 0.9172, relative_absolute_error: 0.1242, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.235, root_relative_squared_error: 0.4984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.9327, kappa: 0.8979, kb_relative_information_score: 907878.0013, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.9327, predictive_accuracy: 0.9327, prior_entropy: 1.585, recall: 0.9327, relative_absolute_error: 0.1009, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.4493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.932, kappa: 0.8967, kb_relative_information_score: 906864.8893, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.932, predictive_accuracy: 0.932, prior_entropy: 1.585, recall: 0.932, relative_absolute_error: 0.102, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.213, root_relative_squared_error: 0.4518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.9326, kappa: 0.8976, kb_relative_information_score: 907689.0696, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.9326, predictive_accuracy: 0.9326, prior_entropy: 1.585, recall: 0.9326, relative_absolute_error: 0.1011, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.212, root_relative_squared_error: 0.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.9326, kappa: 0.8977, kb_relative_information_score: 907727.4035, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.9326, predictive_accuracy: 0.9326, prior_entropy: 1.585, recall: 0.9326, relative_absolute_error: 0.1011, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.212, root_relative_squared_error: 0.4497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.9327, kappa: 0.8979, kb_relative_information_score: 907893.061, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.9327, predictive_accuracy: 0.9327, prior_entropy: 1.585, recall: 0.9327, relative_absolute_error: 0.1009, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.4493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.9326, kappa: 0.8977, kb_relative_information_score: 907727.4035, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.9326, predictive_accuracy: 0.9326, prior_entropy: 1.585, recall: 0.9326, relative_absolute_error: 0.1011, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.212, root_relative_squared_error: 0.4497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.9327, kappa: 0.8979, kb_relative_information_score: 907893.061, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.9327, predictive_accuracy: 0.9327, prior_entropy: 1.585, recall: 0.9327, relative_absolute_error: 0.1009, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.4493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.9327, kappa: 0.8979, kb_relative_information_score: 907878.0013, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.9327, predictive_accuracy: 0.9327, prior_entropy: 1.585, recall: 0.9327, relative_absolute_error: 0.1009, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.4493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.9172, kappa: 0.8743, kb_relative_information_score: 886621.8166, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.9172, predictive_accuracy: 0.9172, prior_entropy: 1.585, recall: 0.9172, relative_absolute_error: 0.1242, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.235, root_relative_squared_error: 0.4984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.9321, kappa: 0.8969, kb_relative_information_score: 907031.9158, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.9321, predictive_accuracy: 0.9321, prior_entropy: 1.585, recall: 0.9321, relative_absolute_error: 0.1019, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.4514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.9172, kappa: 0.8743, kb_relative_information_score: 886621.8166, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.9172, predictive_accuracy: 0.9172, prior_entropy: 1.585, recall: 0.9172, relative_absolute_error: 0.1242, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.235, root_relative_squared_error: 0.4984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.9321, kappa: 0.8969, kb_relative_information_score: 907031.9158, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.9321, predictive_accuracy: 0.9321, prior_entropy: 1.585, recall: 0.9321, relative_absolute_error: 0.1019, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.4514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.932, kappa: 0.8967, kb_relative_information_score: 906864.8893, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.932, predictive_accuracy: 0.932, prior_entropy: 1.585, recall: 0.932, relative_absolute_error: 0.102, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.213, root_relative_squared_error: 0.4518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.932, kappa: 0.8968, kb_relative_information_score: 906885.4253, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.932, predictive_accuracy: 0.932, prior_entropy: 1.585, recall: 0.932, relative_absolute_error: 0.102, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.4517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.9326, kappa: 0.8976, kb_relative_information_score: 907689.0696, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.9326, predictive_accuracy: 0.9326, prior_entropy: 1.585, recall: 0.9326, relative_absolute_error: 0.1011, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.212, root_relative_squared_error: 0.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.9326, kappa: 0.8977, kb_relative_information_score: 907717.82, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.9326, predictive_accuracy: 0.9326, prior_entropy: 1.585, recall: 0.9326, relative_absolute_error: 0.1011, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.212, root_relative_squared_error: 0.4497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.9288, kappa: 0.892, kb_relative_information_score: 902575.5922, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.9288, predictive_accuracy: 0.9288, prior_entropy: 1.585, recall: 0.9288, relative_absolute_error: 0.1067, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.9257, kappa: 0.8872, kb_relative_information_score: 898316.4147, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.9257, predictive_accuracy: 0.9257, prior_entropy: 1.585, recall: 0.9257, relative_absolute_error: 0.1114, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.8999, kappa: 0.8475, kb_relative_information_score: 862838.3283, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.9009, predictive_accuracy: 0.8998, prior_entropy: 1.585, recall: 0.8998, relative_absolute_error: 0.1503, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.5482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.932, kappa: 0.8968, kb_relative_information_score: 906923.7593, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.932, predictive_accuracy: 0.932, prior_entropy: 1.585, recall: 0.932, relative_absolute_error: 0.102, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.4516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.9337, kappa: 0.8994, kb_relative_information_score: 909285.4055, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.9337, predictive_accuracy: 0.9337, prior_entropy: 1.585, recall: 0.9337, relative_absolute_error: 0.0994, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.4458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.9337, kappa: 0.8994, kb_relative_information_score: 909285.4055, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.9337, predictive_accuracy: 0.9337, prior_entropy: 1.585, recall: 0.9337, relative_absolute_error: 0.0994, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.4458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.9202, kappa: 0.8789, kb_relative_information_score: 890739.9799, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.9202, predictive_accuracy: 0.9202, prior_entropy: 1.585, recall: 0.9202, relative_absolute_error: 0.1197, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.4893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.9195, kappa: 0.8778, kb_relative_information_score: 889795.3214, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.9195, predictive_accuracy: 0.9195, prior_entropy: 1.585, recall: 0.9195, relative_absolute_error: 0.1207, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.4914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.9338, kappa: 0.8995, kb_relative_information_score: 909373.026, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.9338, predictive_accuracy: 0.9338, prior_entropy: 1.585, recall: 0.9338, relative_absolute_error: 0.0993, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.4456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.9201, kappa: 0.8787, kb_relative_information_score: 890630.4543, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.9202, predictive_accuracy: 0.9201, prior_entropy: 1.585, recall: 0.9201, relative_absolute_error: 0.1198, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.4895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.9275, kappa: 0.89, kb_relative_information_score: 900750.6216, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.9275, predictive_accuracy: 0.9275, prior_entropy: 1.585, recall: 0.9275, relative_absolute_error: 0.1087, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.4664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.936, kappa: 0.9027, kb_relative_information_score: 912383.6114, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.9363, predictive_accuracy: 0.936, prior_entropy: 1.585, recall: 0.936, relative_absolute_error: 0.096, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.4382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.9328, kappa: 0.8979, kb_relative_information_score: 907932.7641, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.9328, predictive_accuracy: 0.9328, prior_entropy: 1.585, recall: 0.9328, relative_absolute_error: 0.1009, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.4492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.9202, kappa: 0.8789, kb_relative_information_score: 890739.9799, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.9202, predictive_accuracy: 0.9202, prior_entropy: 1.585, recall: 0.9202, relative_absolute_error: 0.1197, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.4893,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.9202, kappa: 0.8789, kb_relative_information_score: 890741.349, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.9202, predictive_accuracy: 0.9202, prior_entropy: 1.585, recall: 0.9202, relative_absolute_error: 0.1197, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.4893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.9276, kappa: 0.89, kb_relative_information_score: 900813.5988, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.9276, predictive_accuracy: 0.9276, prior_entropy: 1.585, recall: 0.9276, relative_absolute_error: 0.1087, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.4662,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.9338, kappa: 0.8995, kb_relative_information_score: 909318.2632, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.9338, predictive_accuracy: 0.9338, prior_entropy: 1.585, recall: 0.9338, relative_absolute_error: 0.0994, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.4458,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.9326, kappa: 0.8977, kb_relative_information_score: 907727.4035, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.9326, predictive_accuracy: 0.9326, prior_entropy: 1.585, recall: 0.9326, relative_absolute_error: 0.1011, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.212, root_relative_squared_error: 0.4497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9326, kappa: 0.8977, kb_relative_information_score: 881425.6257, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.9326, predictive_accuracy: 0.9326, prior_entropy: 1.585, recall: 0.9326, relative_absolute_error: 0.1416, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.3998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.9338, kappa: 0.8995, kb_relative_information_score: 909390.8239, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.9338, predictive_accuracy: 0.9338, prior_entropy: 1.585, recall: 0.9338, relative_absolute_error: 0.0993, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.4456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.934, kappa: 0.8998, kb_relative_information_score: 909581.1246, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.934, predictive_accuracy: 0.934, prior_entropy: 1.585, recall: 0.934, relative_absolute_error: 0.0991, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.4451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.9338, kappa: 0.8995, kb_relative_information_score: 909390.8239, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.9338, predictive_accuracy: 0.9338, prior_entropy: 1.585, recall: 0.9338, relative_absolute_error: 0.0993, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.4456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.9337, kappa: 0.8994, kb_relative_information_score: 909274.4529, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.9337, predictive_accuracy: 0.9337, prior_entropy: 1.585, recall: 0.9337, relative_absolute_error: 0.0994, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.4459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.934, kappa: 0.8998, kb_relative_information_score: 909581.1246, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.934, predictive_accuracy: 0.934, prior_entropy: 1.585, recall: 0.934, relative_absolute_error: 0.0991, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.4451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9326, kappa: 0.8977, kb_relative_information_score: 881425.6257, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.9326, predictive_accuracy: 0.9326, prior_entropy: 1.585, recall: 0.9326, relative_absolute_error: 0.1416, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.3998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.8815, kappa: 0.8202, kb_relative_information_score: 775131.6114, mean_absolute_error: 0.1196, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8815, predictive_accuracy: 0.8816, prior_entropy: 1.585, recall: 0.8816, relative_absolute_error: 0.269, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2459, root_relative_squared_error: 0.5216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.342, kappa: 0.0013, kb_relative_information_score: 99194.219, mean_absolute_error: 0.4386, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.342, predictive_accuracy: 0.342, prior_entropy: 1.585, recall: 0.342, relative_absolute_error: 0.987, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6623, root_relative_squared_error: 1.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.2297, kappa: 0, kb_relative_information_score: 42040.1674, mean_absolute_error: 0.4392, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.2721, predictive_accuracy: 0.4011, prior_entropy: 1.585, recall: 0.4011, relative_absolute_error: 0.9882, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4686, root_relative_squared_error: 0.9941,

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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