OpenML
Supervised Data Stream Classification on BNG(waveform-5000)

Supervised Data Stream Classification on BNG(waveform-5000)

Task 2167 Supervised Data Stream Classification BNG(waveform-5000) 288 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: 0.9044, f_measure: 0.872, kappa: 0.8088, kb_relative_information_score: 825451.758, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8725, predictive_accuracy: 0.8725, prior_entropy: 1.585, recall: 0.8725, relative_absolute_error: 0.1912, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, f_measure: 0.8509, kappa: 0.7783, kb_relative_information_score: 797539.1538, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8527, predictive_accuracy: 0.8521, prior_entropy: 1.585, recall: 0.8521, relative_absolute_error: 0.2218, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.314, root_relative_squared_error: 0.6661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.872, kappa: 0.8088, kb_relative_information_score: 825428.4838, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8724, predictive_accuracy: 0.8725, prior_entropy: 1.585, recall: 0.8725, relative_absolute_error: 0.1913, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.872, kappa: 0.8087, kb_relative_information_score: 825388.7808, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8724, predictive_accuracy: 0.8725, prior_entropy: 1.585, recall: 0.8725, relative_absolute_error: 0.1913, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.6186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8613, kappa: 0.7936, kb_relative_information_score: 811554.3259, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.863, predictive_accuracy: 0.8624, prior_entropy: 1.585, recall: 0.8624, relative_absolute_error: 0.2065, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.6426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.8714, kappa: 0.8078, kb_relative_information_score: 824578.2912, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8718, predictive_accuracy: 0.8719, prior_entropy: 1.585, recall: 0.8719, relative_absolute_error: 0.1922, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2923, root_relative_squared_error: 0.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.8343, kappa: 0.7582, kb_relative_information_score: 779119.6827, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8489, predictive_accuracy: 0.8387, prior_entropy: 1.585, recall: 0.8387, relative_absolute_error: 0.242, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.328, root_relative_squared_error: 0.6957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.8431, kappa: 0.7681, kb_relative_information_score: 788191.1422, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8479, predictive_accuracy: 0.8453, prior_entropy: 1.585, recall: 0.8453, relative_absolute_error: 0.2321, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.6813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.8703, kappa: 0.8063, kb_relative_information_score: 823151.72, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8708, predictive_accuracy: 0.8708, prior_entropy: 1.585, recall: 0.8708, relative_absolute_error: 0.1938, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.6225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.8706, kappa: 0.8067, kb_relative_information_score: 823572.0246, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8711, predictive_accuracy: 0.8711, prior_entropy: 1.585, recall: 0.8711, relative_absolute_error: 0.1933, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.6218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, f_measure: 0.8705, kappa: 0.8066, kb_relative_information_score: 823428.2722, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.871, predictive_accuracy: 0.871, prior_entropy: 1.585, recall: 0.871, relative_absolute_error: 0.1935, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, f_measure: 0.8704, kappa: 0.8065, kb_relative_information_score: 823366.664, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.871, predictive_accuracy: 0.871, prior_entropy: 1.585, recall: 0.871, relative_absolute_error: 0.1935, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.6221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.8713, kappa: 0.8078, kb_relative_information_score: 824539.9572, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8718, predictive_accuracy: 0.8718, prior_entropy: 1.585, recall: 0.8718, relative_absolute_error: 0.1922, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2923, root_relative_squared_error: 0.6201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.8663, kappa: 0.8007, kb_relative_information_score: 818061.5168, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8673, predictive_accuracy: 0.8671, prior_entropy: 1.585, recall: 0.8671, relative_absolute_error: 0.1993, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2976, root_relative_squared_error: 0.6314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.872, kappa: 0.8088, kb_relative_information_score: 825432.591, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8724, predictive_accuracy: 0.8725, prior_entropy: 1.585, recall: 0.8725, relative_absolute_error: 0.1913, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8849, f_measure: 0.8403, kappa: 0.7695, kb_relative_information_score: 789353.4828, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8596, predictive_accuracy: 0.8461, prior_entropy: 1.585, recall: 0.8461, relative_absolute_error: 0.2308, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.6794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.8401, kappa: 0.7688, kb_relative_information_score: 788726.4486, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8581, predictive_accuracy: 0.8457, prior_entropy: 1.585, recall: 0.8457, relative_absolute_error: 0.2315, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.6804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.8724, kappa: 0.8093, kb_relative_information_score: 825954.2068, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8728, predictive_accuracy: 0.8729, prior_entropy: 1.585, recall: 0.8729, relative_absolute_error: 0.1907, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.6176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, f_measure: 0.84, kappa: 0.7681, kb_relative_information_score: 788133.6412, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8564, predictive_accuracy: 0.8452, prior_entropy: 1.585, recall: 0.8452, relative_absolute_error: 0.2321, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.6814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.8854, kappa: 0.8283, kb_relative_information_score: 843312.6484, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8854, predictive_accuracy: 0.8856, prior_entropy: 1.585, recall: 0.8856, relative_absolute_error: 0.1717, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2762, root_relative_squared_error: 0.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.8717, kappa: 0.8081, kb_relative_information_score: 824826.0929, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8719, predictive_accuracy: 0.872, prior_entropy: 1.585, recall: 0.872, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2921, root_relative_squared_error: 0.6196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.8595, kappa: 0.79, kb_relative_information_score: 808258.9738, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8598, predictive_accuracy: 0.8599, prior_entropy: 1.585, recall: 0.8599, relative_absolute_error: 0.2101, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3056, root_relative_squared_error: 0.6482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8849, f_measure: 0.8403, kappa: 0.7695, kb_relative_information_score: 789352.1137, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8596, predictive_accuracy: 0.8461, prior_entropy: 1.585, recall: 0.8461, relative_absolute_error: 0.2308, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.6794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8849, f_measure: 0.8403, kappa: 0.7695, kb_relative_information_score: 789352.1137, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8596, predictive_accuracy: 0.8461, prior_entropy: 1.585, recall: 0.8461, relative_absolute_error: 0.2308, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.6794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, f_measure: 0.8547, kappa: 0.7831, kb_relative_information_score: 801961.2507, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8555, predictive_accuracy: 0.8553, prior_entropy: 1.585, recall: 0.8553, relative_absolute_error: 0.217, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3105, root_relative_squared_error: 0.6588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.8589, kappa: 0.7899, kb_relative_information_score: 808197.3657, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8601, predictive_accuracy: 0.8599, prior_entropy: 1.585, recall: 0.8599, relative_absolute_error: 0.2101, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3056, root_relative_squared_error: 0.6483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8849, f_measure: 0.8403, kappa: 0.7695, kb_relative_information_score: 789353.4828, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8596, predictive_accuracy: 0.8461, prior_entropy: 1.585, recall: 0.8461, relative_absolute_error: 0.2308, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.6794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8849, f_measure: 0.8403, kappa: 0.7695, kb_relative_information_score: 789353.4828, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8596, predictive_accuracy: 0.8461, prior_entropy: 1.585, recall: 0.8461, relative_absolute_error: 0.2308, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.6794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8849, f_measure: 0.8403, kappa: 0.7695, kb_relative_information_score: 789350.7447, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8596, predictive_accuracy: 0.8461, prior_entropy: 1.585, recall: 0.8461, relative_absolute_error: 0.2308, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.6794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.8724, kappa: 0.8092, kb_relative_information_score: 825844.6812, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8727, predictive_accuracy: 0.8728, prior_entropy: 1.585, recall: 0.8728, relative_absolute_error: 0.1908, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2912, root_relative_squared_error: 0.6178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.872, kappa: 0.8087, kb_relative_information_score: 825375.0901, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8724, predictive_accuracy: 0.8725, prior_entropy: 1.585, recall: 0.8725, relative_absolute_error: 0.1913, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.6186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8849, f_measure: 0.8403, kappa: 0.7695, kb_relative_information_score: 789353.4828, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8596, predictive_accuracy: 0.8461, prior_entropy: 1.585, recall: 0.8461, relative_absolute_error: 0.2308, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.6794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.8714, kappa: 0.8079, kb_relative_information_score: 824607.0417, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8719, predictive_accuracy: 0.8719, prior_entropy: 1.585, recall: 0.8719, relative_absolute_error: 0.1922, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2922, root_relative_squared_error: 0.6199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.8872, kappa: 0.8313, kb_relative_information_score: 846011.0859, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8874, predictive_accuracy: 0.8875, prior_entropy: 1.585, recall: 0.8875, relative_absolute_error: 0.1687, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.5809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.8872, kappa: 0.8313, kb_relative_information_score: 846011.0859, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8874, predictive_accuracy: 0.8875, prior_entropy: 1.585, recall: 0.8875, relative_absolute_error: 0.1687, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.5809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.8872, kappa: 0.8313, kb_relative_information_score: 846011.0859, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8874, predictive_accuracy: 0.8875, prior_entropy: 1.585, recall: 0.8875, relative_absolute_error: 0.1687, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.5809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.8737, kappa: 0.8111, kb_relative_information_score: 827573.8169, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8739, predictive_accuracy: 0.8741, prior_entropy: 1.585, recall: 0.8741, relative_absolute_error: 0.1889, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2898, root_relative_squared_error: 0.6147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.8724, kappa: 0.8093, kb_relative_information_score: 825950.0996, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8728, predictive_accuracy: 0.8729, prior_entropy: 1.585, recall: 0.8729, relative_absolute_error: 0.1907, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.6176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.8714, kappa: 0.808, kb_relative_information_score: 822372.9455, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8719, predictive_accuracy: 0.8719, prior_entropy: 1.585, recall: 0.8719, relative_absolute_error: 0.2008, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2674, root_relative_squared_error: 0.5672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.8759, kappa: 0.816, kb_relative_information_score: 812234.7845, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8792, predictive_accuracy: 0.8773, prior_entropy: 1.585, recall: 0.8773, relative_absolute_error: 0.211, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2581, root_relative_squared_error: 0.5475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.8767, kappa: 0.817, kb_relative_information_score: 807190.9037, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8795, predictive_accuracy: 0.8779, prior_entropy: 1.585, recall: 0.8779, relative_absolute_error: 0.2223, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.5412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8744, kappa: 0.8139, kb_relative_information_score: 762312.9977, mean_absolute_error: 0.1268, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.878, predictive_accuracy: 0.8759, prior_entropy: 1.585, recall: 0.8759, relative_absolute_error: 0.2854, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2573, root_relative_squared_error: 0.5458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.8747, kappa: 0.8142, kb_relative_information_score: 790915.7271, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8781, predictive_accuracy: 0.8761, prior_entropy: 1.585, recall: 0.8761, relative_absolute_error: 0.2466, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2539, root_relative_squared_error: 0.5386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.8738, kappa: 0.8125, kb_relative_information_score: 736706.5426, mean_absolute_error: 0.1438, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8766, predictive_accuracy: 0.875, prior_entropy: 1.585, recall: 0.875, relative_absolute_error: 0.3234, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2586, root_relative_squared_error: 0.5485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.8732, kappa: 0.8114, kb_relative_information_score: 717808.628, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8755, predictive_accuracy: 0.8742, prior_entropy: 1.585, recall: 0.8742, relative_absolute_error: 0.3476, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.5615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.875, kappa: 0.8139, kb_relative_information_score: 752037.2873, mean_absolute_error: 0.1322, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8764, predictive_accuracy: 0.8759, prior_entropy: 1.585, recall: 0.8759, relative_absolute_error: 0.2975, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.5538,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.8685, kappa: 0.8023, kb_relative_information_score: 822282.5578, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8696, predictive_accuracy: 0.8682, prior_entropy: 1.585, recall: 0.8682, relative_absolute_error: 0.2009, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2675, root_relative_squared_error: 0.5674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.8714, kappa: 0.8079, kb_relative_information_score: 824591.9819, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8719, predictive_accuracy: 0.8719, prior_entropy: 1.585, recall: 0.8719, relative_absolute_error: 0.1922, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2923, root_relative_squared_error: 0.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.8714, kappa: 0.8079, kb_relative_information_score: 824591.9819, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8718, predictive_accuracy: 0.8719, prior_entropy: 1.585, recall: 0.8719, relative_absolute_error: 0.1922, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2923, root_relative_squared_error: 0.62,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8731, kappa: 0.8104, kb_relative_information_score: 826879.6983, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8734, predictive_accuracy: 0.8735, prior_entropy: 1.585, recall: 0.8735, relative_absolute_error: 0.1897, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2903, root_relative_squared_error: 0.6159,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.7316, kappa: 0.5989, kb_relative_information_score: 633843.5317, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.7314, predictive_accuracy: 0.7326, prior_entropy: 1.585, recall: 0.7326, relative_absolute_error: 0.4012, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.8957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.8287, kappa: 0.7452, kb_relative_information_score: 629050.6676, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.83, predictive_accuracy: 0.83, prior_entropy: 1.585, recall: 0.83, relative_absolute_error: 0.4537, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.6312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.872, kappa: 0.8087, kb_relative_information_score: 825335.387, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8723, predictive_accuracy: 0.8724, prior_entropy: 1.585, recall: 0.8724, relative_absolute_error: 0.1914, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.6187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.8725, kappa: 0.8094, kb_relative_information_score: 826003.4933, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8728, predictive_accuracy: 0.8729, prior_entropy: 1.585, recall: 0.8729, relative_absolute_error: 0.1906, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.6175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.8725, kappa: 0.8094, kb_relative_information_score: 787050.7296, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8728, predictive_accuracy: 0.8729, prior_entropy: 1.585, recall: 0.8729, relative_absolute_error: 0.2527, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.255, root_relative_squared_error: 0.5409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.8763, kappa: 0.8157, kb_relative_information_score: 747664.5289, mean_absolute_error: 0.1367, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8776, predictive_accuracy: 0.8771, prior_entropy: 1.585, recall: 0.8771, relative_absolute_error: 0.3076, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2632, root_relative_squared_error: 0.5584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.8429, kappa: 0.768, kb_relative_information_score: 712216.3284, mean_absolute_error: 0.1547, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.849, predictive_accuracy: 0.8452, prior_entropy: 1.585, recall: 0.8452, relative_absolute_error: 0.3481, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2751, root_relative_squared_error: 0.5836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.8331, kappa: 0.7516, kb_relative_information_score: 639701.4689, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8342, predictive_accuracy: 0.8343, prior_entropy: 1.585, recall: 0.8343, relative_absolute_error: 0.4413, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.6225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1711, kb_relative_information_score: 94225.8631, mean_absolute_error: 0.4411, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.1145, predictive_accuracy: 0.3384, prior_entropy: 1.585, recall: 0.3384, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6641, root_relative_squared_error: 1.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1711, kb_relative_information_score: 94225.8631, mean_absolute_error: 0.4411, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.1145, predictive_accuracy: 0.3384, prior_entropy: 1.585, recall: 0.3384, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6641, root_relative_squared_error: 1.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.8732, kappa: 0.8105, kb_relative_information_score: 791172.459, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8736, predictive_accuracy: 0.8736, prior_entropy: 1.585, recall: 0.8736, relative_absolute_error: 0.2468, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2532, root_relative_squared_error: 0.5372,

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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