OpenML
Supervised Data Stream Classification on RandomRBF_10_1E-4

Supervised Data Stream Classification on RandomRBF_10_1E-4

Task 196 Supervised Data Stream Classification RandomRBF_10_1E-4 290 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: 0.9306, f_measure: 0.8921, kappa: 0.8608, kb_relative_information_score: 877392.7808, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8926, predictive_accuracy: 0.8923, prior_entropy: 2.3219, recall: 0.8923, relative_absolute_error: 0.1346, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.5188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.8667, kappa: 0.8278, kb_relative_information_score: 848572.4896, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8667, predictive_accuracy: 0.867, prior_entropy: 2.3219, recall: 0.867, relative_absolute_error: 0.1662, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.5766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7265, f_measure: 0.5826, kappa: 0.4548, kb_relative_information_score: 526425.3745, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.6024, predictive_accuracy: 0.5841, prior_entropy: 2.3219, recall: 0.5841, relative_absolute_error: 0.5199, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4079, root_relative_squared_error: 1.0197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.8925, kappa: 0.8613, kb_relative_information_score: 877857.3488, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8931, predictive_accuracy: 0.8927, prior_entropy: 2.3219, recall: 0.8927, relative_absolute_error: 0.1341, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.5179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.8927, kappa: 0.8616, kb_relative_information_score: 878157.9515, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8933, predictive_accuracy: 0.893, prior_entropy: 2.3219, recall: 0.893, relative_absolute_error: 0.1338, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.5172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.8928, kappa: 0.8616, kb_relative_information_score: 878167.0607, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8933, predictive_accuracy: 0.893, prior_entropy: 2.3219, recall: 0.893, relative_absolute_error: 0.1337, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.5172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.8928, kappa: 0.8616, kb_relative_information_score: 878164.7834, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8933, predictive_accuracy: 0.893, prior_entropy: 2.3219, recall: 0.893, relative_absolute_error: 0.1338, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.5172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.8925, kappa: 0.8613, kb_relative_information_score: 877857.3488, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8931, predictive_accuracy: 0.8927, prior_entropy: 2.3219, recall: 0.8927, relative_absolute_error: 0.1341, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.5179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.8927, kappa: 0.8616, kb_relative_information_score: 878157.9515, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8933, predictive_accuracy: 0.893, prior_entropy: 2.3219, recall: 0.893, relative_absolute_error: 0.1338, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.5172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.8928, kappa: 0.8616, kb_relative_information_score: 878167.0607, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8933, predictive_accuracy: 0.893, prior_entropy: 2.3219, recall: 0.893, relative_absolute_error: 0.1337, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.5172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.8928, kappa: 0.8616, kb_relative_information_score: 878165.9221, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8933, predictive_accuracy: 0.893, prior_entropy: 2.3219, recall: 0.893, relative_absolute_error: 0.1337, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.5172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.8927, kappa: 0.8615, kb_relative_information_score: 878058.8893, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8932, predictive_accuracy: 0.8929, prior_entropy: 2.3219, recall: 0.8929, relative_absolute_error: 0.1339, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.207, root_relative_squared_error: 0.5174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.8758, kappa: 0.8396, kb_relative_information_score: 858852.1936, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.876, predictive_accuracy: 0.876, prior_entropy: 2.3219, recall: 0.876, relative_absolute_error: 0.155, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.5567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.8928, kappa: 0.8616, kb_relative_information_score: 878165.9221, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8933, predictive_accuracy: 0.893, prior_entropy: 2.3219, recall: 0.893, relative_absolute_error: 0.1337, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.5172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.8928, kappa: 0.8616, kb_relative_information_score: 878167.0607, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8933, predictive_accuracy: 0.893, prior_entropy: 2.3219, recall: 0.893, relative_absolute_error: 0.1337, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.5172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8999, kappa: 0.871, kb_relative_information_score: 886337.9907, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.9001, predictive_accuracy: 0.9002, prior_entropy: 2.3219, recall: 0.9002, relative_absolute_error: 0.1248, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1998, root_relative_squared_error: 0.4996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.8928, kappa: 0.8616, kb_relative_information_score: 878168.1994, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8933, predictive_accuracy: 0.893, prior_entropy: 2.3219, recall: 0.893, relative_absolute_error: 0.1337, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.5172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, f_measure: 0.8062, kappa: 0.7492, kb_relative_information_score: 779733.3149, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8062, predictive_accuracy: 0.8066, prior_entropy: 2.3219, recall: 0.8066, relative_absolute_error: 0.2418, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2782, root_relative_squared_error: 0.6954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.9019, kappa: 0.8735, kb_relative_information_score: 888562.9068, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.9024, predictive_accuracy: 0.9021, prior_entropy: 2.3219, recall: 0.9021, relative_absolute_error: 0.1223, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.4946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.682, f_measure: 0.5115, kappa: 0.3672, kb_relative_information_score: 456452.1076, mean_absolute_error: 0.1909, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.5224, predictive_accuracy: 0.5226, prior_entropy: 2.3219, recall: 0.5226, relative_absolute_error: 0.5967, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.437, root_relative_squared_error: 1.0924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.7962, kappa: 0.7372, kb_relative_information_score: 771318.7144, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8025, predictive_accuracy: 0.7992, prior_entropy: 2.3219, recall: 0.7992, relative_absolute_error: 0.251, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.7086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, f_measure: 0.8294, kappa: 0.7795, kb_relative_information_score: 807235.0531, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8323, predictive_accuracy: 0.8307, prior_entropy: 2.3219, recall: 0.8307, relative_absolute_error: 0.2116, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2602, root_relative_squared_error: 0.6506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6804, f_measure: 0.5087, kappa: 0.3639, kb_relative_information_score: 454604.0837, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.522, predictive_accuracy: 0.521, prior_entropy: 2.3219, recall: 0.521, relative_absolute_error: 0.5987, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4377, root_relative_squared_error: 1.0943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6804, f_measure: 0.5087, kappa: 0.3639, kb_relative_information_score: 454604.0837, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.522, predictive_accuracy: 0.521, prior_entropy: 2.3219, recall: 0.521, relative_absolute_error: 0.5987, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4377, root_relative_squared_error: 1.0943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, f_measure: 0.8222, kappa: 0.7706, kb_relative_information_score: 799710.8745, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8259, predictive_accuracy: 0.8241, prior_entropy: 2.3219, recall: 0.8241, relative_absolute_error: 0.2199, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2653, root_relative_squared_error: 0.6631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6811, f_measure: 0.5098, kappa: 0.3662, kb_relative_information_score: 456645.6776, mean_absolute_error: 0.1909, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.5261, predictive_accuracy: 0.5228, prior_entropy: 2.3219, recall: 0.5228, relative_absolute_error: 0.5965, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4369, root_relative_squared_error: 1.0922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6804, f_measure: 0.5087, kappa: 0.3639, kb_relative_information_score: 454605.2223, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.522, predictive_accuracy: 0.521, prior_entropy: 2.3219, recall: 0.521, relative_absolute_error: 0.5987, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4377, root_relative_squared_error: 1.0943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6804, f_measure: 0.5087, kappa: 0.3639, kb_relative_information_score: 454605.2223, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.522, predictive_accuracy: 0.521, prior_entropy: 2.3219, recall: 0.521, relative_absolute_error: 0.5987, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4377, root_relative_squared_error: 1.0943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, f_measure: 0.696, kappa: 0.6073, kb_relative_information_score: 655667.4891, mean_absolute_error: 0.121, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.6971, predictive_accuracy: 0.6976, prior_entropy: 2.3219, recall: 0.6976, relative_absolute_error: 0.378, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3478, root_relative_squared_error: 0.8695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.7938, kappa: 0.7324, kb_relative_information_score: 765198.4874, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.7947, predictive_accuracy: 0.7938, prior_entropy: 2.3219, recall: 0.7938, relative_absolute_error: 0.2578, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2872, root_relative_squared_error: 0.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, f_measure: 0.792, kappa: 0.7305, kb_relative_information_score: 763542.8949, mean_absolute_error: 0.0831, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.7923, predictive_accuracy: 0.7923, prior_entropy: 2.3219, recall: 0.7923, relative_absolute_error: 0.2596, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.7205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.5682, kappa: 0.4451, kb_relative_information_score: 526472.0591, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.593, predictive_accuracy: 0.5841, prior_entropy: 2.3219, recall: 0.5841, relative_absolute_error: 0.5198, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4079, root_relative_squared_error: 1.0196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.9017, kappa: 0.8732, kb_relative_information_score: 888318.0977, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.9022, predictive_accuracy: 0.9019, prior_entropy: 2.3219, recall: 0.9019, relative_absolute_error: 0.1226, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.4952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.9017, kappa: 0.8732, kb_relative_information_score: 888319.2363, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.9022, predictive_accuracy: 0.9019, prior_entropy: 2.3219, recall: 0.9019, relative_absolute_error: 0.1226, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.4952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.9017, kappa: 0.8732, kb_relative_information_score: 888319.2363, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.9022, predictive_accuracy: 0.9019, prior_entropy: 2.3219, recall: 0.9019, relative_absolute_error: 0.1226, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.4952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.9019, kappa: 0.8735, kb_relative_information_score: 888561.7681, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.9024, predictive_accuracy: 0.9021, prior_entropy: 2.3219, recall: 0.9021, relative_absolute_error: 0.1223, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.4946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.8928, kappa: 0.8616, kb_relative_information_score: 878165.9221, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8933, predictive_accuracy: 0.893, prior_entropy: 2.3219, recall: 0.893, relative_absolute_error: 0.1337, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.5172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.8928, kappa: 0.8616, kb_relative_information_score: 849283.3372, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8933, predictive_accuracy: 0.893, prior_entropy: 2.3219, recall: 0.893, relative_absolute_error: 0.1922, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.5045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.8518, kappa: 0.8079, kb_relative_information_score: 773850.5576, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8531, predictive_accuracy: 0.8523, prior_entropy: 2.3219, recall: 0.8523, relative_absolute_error: 0.2994, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.5426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9594, f_measure: 0.8645, kappa: 0.8247, kb_relative_information_score: 812811.312, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8646, predictive_accuracy: 0.8648, prior_entropy: 2.3219, recall: 0.8648, relative_absolute_error: 0.2454, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.824, kappa: 0.7722, kb_relative_information_score: 715856.1282, mean_absolute_error: 0.1216, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8303, predictive_accuracy: 0.8257, prior_entropy: 2.3219, recall: 0.8257, relative_absolute_error: 0.3799, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.5872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.8341, kappa: 0.785, kb_relative_information_score: 741908.0857, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8375, predictive_accuracy: 0.8351, prior_entropy: 2.3219, recall: 0.8351, relative_absolute_error: 0.3446, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2262, root_relative_squared_error: 0.5655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.8237, kappa: 0.772, kb_relative_information_score: 698735.2183, mean_absolute_error: 0.1301, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8303, predictive_accuracy: 0.8253, prior_entropy: 2.3219, recall: 0.8253, relative_absolute_error: 0.4065, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.7745, kappa: 0.7137, kb_relative_information_score: 618215.4276, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.7967, predictive_accuracy: 0.7805, prior_entropy: 2.3219, recall: 0.7805, relative_absolute_error: 0.5098, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.8041, kappa: 0.7479, kb_relative_information_score: 707741.4066, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8101, predictive_accuracy: 0.8069, prior_entropy: 2.3219, recall: 0.8069, relative_absolute_error: 0.3792, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2419, root_relative_squared_error: 0.6048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.7855, kappa: 0.7259, kb_relative_information_score: 678289.4207, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.7974, predictive_accuracy: 0.7907, prior_entropy: 2.3219, recall: 0.7907, relative_absolute_error: 0.4211, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2539, root_relative_squared_error: 0.6347,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.8928, kappa: 0.8616, kb_relative_information_score: 878165.9221, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8933, predictive_accuracy: 0.893, prior_entropy: 2.3219, recall: 0.893, relative_absolute_error: 0.1337, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.5172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, f_measure: 0.8062, kappa: 0.7492, kb_relative_information_score: 779729.899, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8062, predictive_accuracy: 0.8066, prior_entropy: 2.3219, recall: 0.8066, relative_absolute_error: 0.2418, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2782, root_relative_squared_error: 0.6954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, f_measure: 0.8062, kappa: 0.7492, kb_relative_information_score: 779729.899, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8062, predictive_accuracy: 0.8066, prior_entropy: 2.3219, recall: 0.8066, relative_absolute_error: 0.2418, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2782, root_relative_squared_error: 0.6954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, f_measure: 0.8062, kappa: 0.7492, kb_relative_information_score: 779731.0376, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8062, predictive_accuracy: 0.8066, prior_entropy: 2.3219, recall: 0.8066, relative_absolute_error: 0.2418, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2782, root_relative_squared_error: 0.6954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, f_measure: 0.8062, kappa: 0.7492, kb_relative_information_score: 779731.0376, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8062, predictive_accuracy: 0.8066, prior_entropy: 2.3219, recall: 0.8066, relative_absolute_error: 0.2418, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2782, root_relative_squared_error: 0.6954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, f_measure: 0.8062, kappa: 0.7492, kb_relative_information_score: 779735.5922, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8062, predictive_accuracy: 0.8066, prior_entropy: 2.3219, recall: 0.8066, relative_absolute_error: 0.2418, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2782, root_relative_squared_error: 0.6954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.8062, kappa: 0.7492, kb_relative_information_score: 745937.0928, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8062, predictive_accuracy: 0.8066, prior_entropy: 2.3219, recall: 0.8066, relative_absolute_error: 0.3098, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2397, root_relative_squared_error: 0.5992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.7775, kappa: 0.7134, kb_relative_information_score: 601276.8858, mean_absolute_error: 0.1698, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8069, predictive_accuracy: 0.7784, prior_entropy: 2.3219, recall: 0.7784, relative_absolute_error: 0.5305, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2749, root_relative_squared_error: 0.6872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7268, f_measure: 0.2984, kappa: 0.1523, kb_relative_information_score: 143644.2541, mean_absolute_error: 0.3009, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.362, predictive_accuracy: 0.391, prior_entropy: 2.3219, recall: 0.391, relative_absolute_error: 0.9403, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.9607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9019, kappa: 0.8735, kb_relative_information_score: 877036.3887, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.9024, predictive_accuracy: 0.9021, prior_entropy: 2.3219, recall: 0.9021, relative_absolute_error: 0.1506, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.4215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.7243, kappa: 0.6428, kb_relative_information_score: 572104.5912, mean_absolute_error: 0.1641, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.7247, predictive_accuracy: 0.7244, prior_entropy: 2.3219, recall: 0.7244, relative_absolute_error: 0.5128, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.7031,

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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