Task
Supervised Data Stream Classification on RandomRBF_50_1E-4

Supervised Data Stream Classification on RandomRBF_50_1E-4

Task 198 Supervised Data Stream Classification RandomRBF_50_1E-4 291 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: 0.8822, f_measure: 0.572, kappa: 0.4654, kb_relative_information_score: 450932.7294, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.6641, predictive_accuracy: 0.5996, prior_entropy: 2.3219, recall: 0.5996, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.323, root_relative_squared_error: 0.8075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.7558, kappa: 0.6827, kb_relative_information_score: 588964.0443, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.7787, predictive_accuracy: 0.7596, prior_entropy: 2.3219, recall: 0.7596, relative_absolute_error: 0.5527, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2767, root_relative_squared_error: 0.6917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.7512, kappa: 0.6764, kb_relative_information_score: 609432.8774, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.7763, predictive_accuracy: 0.7553, prior_entropy: 2.3219, recall: 0.7553, relative_absolute_error: 0.5254, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2753, root_relative_squared_error: 0.6883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.7824, kappa: 0.7172, kb_relative_information_score: 641740.5342, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.7965, predictive_accuracy: 0.7849, prior_entropy: 2.3219, recall: 0.7849, relative_absolute_error: 0.4871, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.6622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.8014, kappa: 0.7421, kb_relative_information_score: 680554.6097, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8102, predictive_accuracy: 0.8031, prior_entropy: 2.3219, recall: 0.8031, relative_absolute_error: 0.4385, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2532, root_relative_squared_error: 0.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.8184, kappa: 0.764, kb_relative_information_score: 729718.9061, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8227, predictive_accuracy: 0.819, prior_entropy: 2.3219, recall: 0.819, relative_absolute_error: 0.374, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2402, root_relative_squared_error: 0.6004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.8934, kappa: 0.8624, kb_relative_information_score: 789142.8144, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8943, predictive_accuracy: 0.8936, prior_entropy: 2.3219, recall: 0.8936, relative_absolute_error: 0.2875, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8934, kappa: 0.8624, kb_relative_information_score: 878806.9803, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8943, predictive_accuracy: 0.8936, prior_entropy: 2.3219, recall: 0.8936, relative_absolute_error: 0.133, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.5158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.572, kappa: 0.4654, kb_relative_information_score: 450932.7294, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.6641, predictive_accuracy: 0.5996, prior_entropy: 2.3219, recall: 0.5996, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.323, root_relative_squared_error: 0.8075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, f_measure: 0.5638, kappa: 0.4466, kb_relative_information_score: 496145.9513, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.6566, predictive_accuracy: 0.5888, prior_entropy: 2.3219, recall: 0.5888, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.8009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8958, f_measure: 0.6403, kappa: 0.5365, kb_relative_information_score: 536879.4196, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.6947, predictive_accuracy: 0.6522, prior_entropy: 2.3219, recall: 0.6522, relative_absolute_error: 0.5792, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3054, root_relative_squared_error: 0.7636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, f_measure: 0.6921, kappa: 0.6, kb_relative_information_score: 597746.1744, mean_absolute_error: 0.1659, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.7323, predictive_accuracy: 0.6977, prior_entropy: 2.3219, recall: 0.6977, relative_absolute_error: 0.5183, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.7232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.7293, kappa: 0.6474, kb_relative_information_score: 672194.3568, mean_absolute_error: 0.139, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.7642, predictive_accuracy: 0.7322, prior_entropy: 2.3219, recall: 0.7322, relative_absolute_error: 0.4345, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2696, root_relative_squared_error: 0.6741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.7209, kappa: 0.6401, kb_relative_information_score: 748963.1506, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.7676, predictive_accuracy: 0.7222, prior_entropy: 2.3219, recall: 0.7222, relative_absolute_error: 0.3336, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2531, root_relative_squared_error: 0.6328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.8931, kappa: 0.862, kb_relative_information_score: 878493.8524, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.894, predictive_accuracy: 0.8933, prior_entropy: 2.3219, recall: 0.8933, relative_absolute_error: 0.1334, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.5165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8934, kappa: 0.8624, kb_relative_information_score: 878799.0097, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8943, predictive_accuracy: 0.8936, prior_entropy: 2.3219, recall: 0.8936, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.5159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8934, kappa: 0.8624, kb_relative_information_score: 878808.1189, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8943, predictive_accuracy: 0.8936, prior_entropy: 2.3219, recall: 0.8936, relative_absolute_error: 0.133, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.5158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8934, kappa: 0.8624, kb_relative_information_score: 878806.9803, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8943, predictive_accuracy: 0.8936, prior_entropy: 2.3219, recall: 0.8936, relative_absolute_error: 0.133, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.5158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8934, kappa: 0.8624, kb_relative_information_score: 878810.3962, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8943, predictive_accuracy: 0.8936, prior_entropy: 2.3219, recall: 0.8936, relative_absolute_error: 0.133, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.5158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.8914, kappa: 0.8598, kb_relative_information_score: 876567.2618, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8923, predictive_accuracy: 0.8916, prior_entropy: 2.3219, recall: 0.8916, relative_absolute_error: 0.1355, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.5206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8934, kappa: 0.8624, kb_relative_information_score: 878806.9803, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8943, predictive_accuracy: 0.8936, prior_entropy: 2.3219, recall: 0.8936, relative_absolute_error: 0.133, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.5158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.8931, kappa: 0.862, kb_relative_information_score: 878493.8524, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.894, predictive_accuracy: 0.8933, prior_entropy: 2.3219, recall: 0.8933, relative_absolute_error: 0.1334, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.5165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8934, kappa: 0.8624, kb_relative_information_score: 878799.0097, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8943, predictive_accuracy: 0.8936, prior_entropy: 2.3219, recall: 0.8936, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.5159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8934, kappa: 0.8624, kb_relative_information_score: 878808.1189, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8943, predictive_accuracy: 0.8936, prior_entropy: 2.3219, recall: 0.8936, relative_absolute_error: 0.133, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.5158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.7734, kappa: 0.7066, kb_relative_information_score: 625152.6018, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.7738, predictive_accuracy: 0.7739, prior_entropy: 2.3219, recall: 0.7739, relative_absolute_error: 0.4923, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2639, root_relative_squared_error: 0.6598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.7734, kappa: 0.7066, kb_relative_information_score: 625087.5995, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.7738, predictive_accuracy: 0.7739, prior_entropy: 2.3219, recall: 0.7739, relative_absolute_error: 0.4924, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2639, root_relative_squared_error: 0.6598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.7735, kappa: 0.7066, kb_relative_information_score: 625060.8578, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.7738, predictive_accuracy: 0.774, prior_entropy: 2.3219, recall: 0.774, relative_absolute_error: 0.4924, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2639, root_relative_squared_error: 0.6598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9297, f_measure: 0.7734, kappa: 0.7066, kb_relative_information_score: 624931.7284, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.7738, predictive_accuracy: 0.7739, prior_entropy: 2.3219, recall: 0.7739, relative_absolute_error: 0.4926, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2639, root_relative_squared_error: 0.6598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.5317, kappa: 0.3902, kb_relative_information_score: 335394.3231, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.5414, predictive_accuracy: 0.5376, prior_entropy: 2.3219, recall: 0.5376, relative_absolute_error: 0.792, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3501, root_relative_squared_error: 0.8751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8934, kappa: 0.8624, kb_relative_information_score: 878805.8416, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8943, predictive_accuracy: 0.8936, prior_entropy: 2.3219, recall: 0.8936, relative_absolute_error: 0.133, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.5158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8934, kappa: 0.8624, kb_relative_information_score: 878803.5643, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8943, predictive_accuracy: 0.8936, prior_entropy: 2.3219, recall: 0.8936, relative_absolute_error: 0.133, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.5158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.8799, kappa: 0.8449, kb_relative_information_score: 863553.6666, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8807, predictive_accuracy: 0.8802, prior_entropy: 2.3219, recall: 0.8802, relative_absolute_error: 0.1498, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.5473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8934, kappa: 0.8624, kb_relative_information_score: 878805.8416, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8943, predictive_accuracy: 0.8936, prior_entropy: 2.3219, recall: 0.8936, relative_absolute_error: 0.133, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.5158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.5999, kappa: 0.4976, kb_relative_information_score: 459916.7714, mean_absolute_error: 0.2142, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.682, predictive_accuracy: 0.6173, prior_entropy: 2.3219, recall: 0.6173, relative_absolute_error: 0.6693, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.7992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.8159, kappa: 0.7611, kb_relative_information_score: 635149.6626, mean_absolute_error: 0.1614, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8209, predictive_accuracy: 0.8169, prior_entropy: 2.3219, recall: 0.8169, relative_absolute_error: 0.5042, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2628, root_relative_squared_error: 0.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.8141, kappa: 0.7586, kb_relative_information_score: 665334.1003, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.82, predictive_accuracy: 0.8153, prior_entropy: 2.3219, recall: 0.8153, relative_absolute_error: 0.4626, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2598, root_relative_squared_error: 0.6495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.8317, kappa: 0.7816, kb_relative_information_score: 715006.2025, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8345, predictive_accuracy: 0.8323, prior_entropy: 2.3219, recall: 0.8323, relative_absolute_error: 0.397, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2449, root_relative_squared_error: 0.6121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9404, f_measure: 0.8934, kappa: 0.8624, kb_relative_information_score: 779047.0901, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8943, predictive_accuracy: 0.8936, prior_entropy: 2.3219, recall: 0.8936, relative_absolute_error: 0.3051, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.5777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8934, kappa: 0.8624, kb_relative_information_score: 878808.1189, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8943, predictive_accuracy: 0.8936, prior_entropy: 2.3219, recall: 0.8936, relative_absolute_error: 0.133, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.5158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.5999, kappa: 0.4976, kb_relative_information_score: 459916.7714, mean_absolute_error: 0.2142, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.682, predictive_accuracy: 0.6173, prior_entropy: 2.3219, recall: 0.6173, relative_absolute_error: 0.6693, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.7992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.6059, kappa: 0.4915, kb_relative_information_score: 544730.1248, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.6777, predictive_accuracy: 0.6181, prior_entropy: 2.3219, recall: 0.6181, relative_absolute_error: 0.5762, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.7757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.6815, kappa: 0.5897, kb_relative_information_score: 635109.8453, mean_absolute_error: 0.1537, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.7306, predictive_accuracy: 0.6896, prior_entropy: 2.3219, recall: 0.6896, relative_absolute_error: 0.4803, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.284, root_relative_squared_error: 0.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.6888, kappa: 0.5993, kb_relative_information_score: 721759.7611, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.749, predictive_accuracy: 0.6921, prior_entropy: 2.3219, recall: 0.6921, relative_absolute_error: 0.3723, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2665, root_relative_squared_error: 0.6662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8934, kappa: 0.8624, kb_relative_information_score: 878808.1189, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8943, predictive_accuracy: 0.8936, prior_entropy: 2.3219, recall: 0.8936, relative_absolute_error: 0.133, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.5158,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.8926, kappa: 0.8614, kb_relative_information_score: 877916.5584, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8935, predictive_accuracy: 0.8928, prior_entropy: 2.3219, recall: 0.8928, relative_absolute_error: 0.134, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.5177,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.64, f_measure: 0.3237, kappa: 0.1284, kb_relative_information_score: 181790.058, mean_absolute_error: 0.2902, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.346, predictive_accuracy: 0.3562, prior_entropy: 2.3219, recall: 0.3562, relative_absolute_error: 0.907, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.9617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5661, f_measure: 0.2591, kappa: 0.0549, kb_relative_information_score: 135197.8268, mean_absolute_error: 0.3033, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.3041, predictive_accuracy: 0.3099, prior_entropy: 2.3219, recall: 0.3099, relative_absolute_error: 0.9478, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.393, root_relative_squared_error: 0.9825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8934, kappa: 0.8624, kb_relative_information_score: 878805.8416, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8943, predictive_accuracy: 0.8936, prior_entropy: 2.3219, recall: 0.8936, relative_absolute_error: 0.133, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.5158,

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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