Task
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: 0.9576, f_measure: 0.8729, kappa: 0.811, kb_relative_information_score: 717741.3035, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8752, predictive_accuracy: 0.8739, prior_entropy: 1.585, recall: 0.8739, relative_absolute_error: 0.3477, 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: 0.9601, f_measure: 0.8736, kappa: 0.8123, kb_relative_information_score: 736666.1366, mean_absolute_error: 0.1438, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8765, predictive_accuracy: 0.8748, prior_entropy: 1.585, recall: 0.8748, relative_absolute_error: 0.3235, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.5484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8747, kappa: 0.8143, kb_relative_information_score: 762424.1331, mean_absolute_error: 0.1268, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8782, predictive_accuracy: 0.8761, prior_entropy: 1.585, recall: 0.8761, relative_absolute_error: 0.2852, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2572, root_relative_squared_error: 0.5457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.8749, kappa: 0.8145, kb_relative_information_score: 790917.4626, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8783, predictive_accuracy: 0.8763, prior_entropy: 1.585, recall: 0.8763, relative_absolute_error: 0.2466, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2538, root_relative_squared_error: 0.5384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.8771, kappa: 0.8176, kb_relative_information_score: 807361.5016, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8799, predictive_accuracy: 0.8783, prior_entropy: 1.585, recall: 0.8783, relative_absolute_error: 0.2222, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.255, root_relative_squared_error: 0.5408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.8761, kappa: 0.8163, kb_relative_information_score: 812477.0966, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8794, predictive_accuracy: 0.8774, prior_entropy: 1.585, recall: 0.8774, relative_absolute_error: 0.2108, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2579, root_relative_squared_error: 0.5471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.872, kappa: 0.8087, kb_relative_information_score: 822776.8811, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8724, predictive_accuracy: 0.8724, prior_entropy: 1.585, recall: 0.8724, relative_absolute_error: 0.2003, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.267, root_relative_squared_error: 0.5665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.872, kappa: 0.8087, kb_relative_information_score: 825365.5066, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8724, predictive_accuracy: 0.8724, prior_entropy: 1.585, recall: 0.8724, 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: 0.9576, f_measure: 0.8729, kappa: 0.811, kb_relative_information_score: 717741.3035, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8752, predictive_accuracy: 0.8739, prior_entropy: 1.585, recall: 0.8739, relative_absolute_error: 0.3477, 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: 0.9558, f_measure: 0.8749, kappa: 0.8137, kb_relative_information_score: 751990.2097, mean_absolute_error: 0.1323, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8763, predictive_accuracy: 0.8757, prior_entropy: 1.585, recall: 0.8757, relative_absolute_error: 0.2976, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.261, root_relative_squared_error: 0.5536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.8749, kappa: 0.8145, kb_relative_information_score: 788593.2756, mean_absolute_error: 0.1109, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8781, predictive_accuracy: 0.8762, prior_entropy: 1.585, recall: 0.8762, relative_absolute_error: 0.2495, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2547, root_relative_squared_error: 0.5404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.8788, kappa: 0.8189, kb_relative_information_score: 806877.6626, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8792, predictive_accuracy: 0.8793, prior_entropy: 1.585, recall: 0.8793, relative_absolute_error: 0.2227, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.5414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.8763, kappa: 0.8166, kb_relative_information_score: 812082.7013, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8795, predictive_accuracy: 0.8777, prior_entropy: 1.585, recall: 0.8777, relative_absolute_error: 0.211, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.258, root_relative_squared_error: 0.5474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.8681, kappa: 0.8018, kb_relative_information_score: 822677.1925, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8693, predictive_accuracy: 0.8679, prior_entropy: 1.585, recall: 0.8679, relative_absolute_error: 0.2004, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2671, root_relative_squared_error: 0.5666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.8719, kappa: 0.8086, kb_relative_information_score: 825245.0284, 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: 0.1915, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2917, root_relative_squared_error: 0.6188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.8719, kappa: 0.8086, kb_relative_information_score: 825316.22, 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: 0.2917, root_relative_squared_error: 0.6187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.8719, kappa: 0.8086, kb_relative_information_score: 825291.5768, 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: 0.2917, 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: 825989.8026, 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: 0.1907, 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: 0.9007, f_measure: 0.8668, kappa: 0.8013, kb_relative_information_score: 818585.8707, mean_absolute_error: 0.0883, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8676, predictive_accuracy: 0.8675, prior_entropy: 1.585, recall: 0.8675, relative_absolute_error: 0.1988, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2972, root_relative_squared_error: 0.6305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.8513, kappa: 0.7788, kb_relative_information_score: 798074.4603, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.853, predictive_accuracy: 0.8525, prior_entropy: 1.585, recall: 0.8525, relative_absolute_error: 0.2212, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.872, kappa: 0.8087, kb_relative_information_score: 825365.5066, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8724, predictive_accuracy: 0.8724, prior_entropy: 1.585, recall: 0.8724, 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: 0.9035, f_measure: 0.8708, kappa: 0.807, kb_relative_information_score: 823818.4572, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8713, predictive_accuracy: 0.8713, prior_entropy: 1.585, recall: 0.8713, relative_absolute_error: 0.193, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2929, root_relative_squared_error: 0.6213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.8709, kappa: 0.8072, kb_relative_information_score: 823999.1745, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8714, predictive_accuracy: 0.8714, prior_entropy: 1.585, recall: 0.8714, relative_absolute_error: 0.1928, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.871, kappa: 0.8073, kb_relative_information_score: 824096.3785, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8715, predictive_accuracy: 0.8715, prior_entropy: 1.585, recall: 0.8715, relative_absolute_error: 0.1927, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2927, root_relative_squared_error: 0.6208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.8604, kappa: 0.7911, kb_relative_information_score: 693071.8857, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8606, predictive_accuracy: 0.8607, prior_entropy: 1.585, recall: 0.8607, relative_absolute_error: 0.3768, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2679, root_relative_squared_error: 0.5682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.892, kappa: 0.8386, kb_relative_information_score: 787221.6127, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8924, predictive_accuracy: 0.8924, prior_entropy: 1.585, recall: 0.8924, relative_absolute_error: 0.2629, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.4866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.868, kappa: 0.8026, kb_relative_information_score: 694769.0674, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8683, predictive_accuracy: 0.8684, prior_entropy: 1.585, recall: 0.8684, relative_absolute_error: 0.3778, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2625, root_relative_squared_error: 0.5569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.8722, kappa: 0.8089, kb_relative_information_score: 694751.1829, mean_absolute_error: 0.1687, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8725, predictive_accuracy: 0.8726, prior_entropy: 1.585, recall: 0.8726, relative_absolute_error: 0.3796, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.26, root_relative_squared_error: 0.5514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.8746, kappa: 0.8124, kb_relative_information_score: 693007.6755, mean_absolute_error: 0.1702, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8748, predictive_accuracy: 0.8749, prior_entropy: 1.585, recall: 0.8749, relative_absolute_error: 0.383, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2591, root_relative_squared_error: 0.5496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.8441, kappa: 0.7742, kb_relative_information_score: 784332.3145, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8611, predictive_accuracy: 0.8493, prior_entropy: 1.585, recall: 0.8493, relative_absolute_error: 0.2426, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.283, root_relative_squared_error: 0.6003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.8725, kappa: 0.8094, kb_relative_information_score: 825984.3263, 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: 0.1907, 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: 0.8974, f_measure: 0.862, kappa: 0.7947, kb_relative_information_score: 812511.306, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8636, predictive_accuracy: 0.8631, prior_entropy: 1.585, recall: 0.8631, relative_absolute_error: 0.2054, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3022, root_relative_squared_error: 0.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8837, f_measure: 0.8426, kappa: 0.7673, kb_relative_information_score: 787490.1782, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8473, predictive_accuracy: 0.8448, prior_entropy: 1.585, recall: 0.8448, relative_absolute_error: 0.2328, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3217, root_relative_squared_error: 0.6824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.871, kappa: 0.8073, kb_relative_information_score: 824074.4733, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8715, predictive_accuracy: 0.8715, prior_entropy: 1.585, recall: 0.8715, relative_absolute_error: 0.1928, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2927, root_relative_squared_error: 0.6209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.8763, kappa: 0.8156, kb_relative_information_score: 747613.7442, mean_absolute_error: 0.1367, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8777, 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: 0.2634, root_relative_squared_error: 0.5587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.8762, kappa: 0.8156, kb_relative_information_score: 766167.6552, mean_absolute_error: 0.1258, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8778, predictive_accuracy: 0.877, prior_entropy: 1.585, recall: 0.877, relative_absolute_error: 0.2831, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.257, root_relative_squared_error: 0.5452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.8767, kappa: 0.817, kb_relative_information_score: 807152.2094, 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: 0.2552, root_relative_squared_error: 0.5414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5202, f_measure: 0.3237, kappa: 0.0406, kb_relative_information_score: 128002.1952, mean_absolute_error: 0.4246, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.3816, predictive_accuracy: 0.3631, prior_entropy: 1.585, recall: 0.3631, relative_absolute_error: 0.9554, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6516, root_relative_squared_error: 1.3823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.8757, kappa: 0.8158, kb_relative_information_score: 812230.0273, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8791, predictive_accuracy: 0.8771, prior_entropy: 1.585, recall: 0.8771, relative_absolute_error: 0.211, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2583, root_relative_squared_error: 0.5478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.8714, kappa: 0.8079, kb_relative_information_score: 822458.6398, 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: 0.2007, 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: 824611.1489, 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: 0.953, f_measure: 0.8763, kappa: 0.8156, kb_relative_information_score: 747613.7442, mean_absolute_error: 0.1367, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8777, 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: 0.2634, root_relative_squared_error: 0.5587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.8785, kappa: 0.8185, kb_relative_information_score: 806678.099, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.879, predictive_accuracy: 0.879, prior_entropy: 1.585, recall: 0.879, relative_absolute_error: 0.2228, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2555, root_relative_squared_error: 0.5419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.876, kappa: 0.8161, kb_relative_information_score: 811847.7191, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8791, predictive_accuracy: 0.8773, prior_entropy: 1.585, recall: 0.8773, relative_absolute_error: 0.2112, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.5481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.8685, kappa: 0.8023, kb_relative_information_score: 822365.9572, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8696, predictive_accuracy: 0.8683, prior_entropy: 1.585, recall: 0.8683, relative_absolute_error: 0.2007, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2675, root_relative_squared_error: 0.5675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.872, kappa: 0.8088, kb_relative_information_score: 825455.8652, 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: 0.6184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.8663, kappa: 0.8007, kb_relative_information_score: 818066.9931, 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: 0.8931, f_measure: 0.8561, kappa: 0.7861, kb_relative_information_score: 804680.2242, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8581, predictive_accuracy: 0.8573, prior_entropy: 1.585, recall: 0.8573, relative_absolute_error: 0.214, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3084, root_relative_squared_error: 0.6542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.872, kappa: 0.8087, kb_relative_information_score: 825391.5189, 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: 0.8969, f_measure: 0.8614, kappa: 0.7938, kb_relative_information_score: 811700.8164, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8631, predictive_accuracy: 0.8625, prior_entropy: 1.585, recall: 0.8625, relative_absolute_error: 0.2063, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.6424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, f_measure: 0.8475, kappa: 0.7748, kb_relative_information_score: 794357.4346, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.853, predictive_accuracy: 0.8498, prior_entropy: 1.585, recall: 0.8498, relative_absolute_error: 0.2253, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.6713,
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: 823369.4022, 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: 0.9039, 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: 0.9039, f_measure: 0.8714, kappa: 0.8078, kb_relative_information_score: 824579.6603, 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: 0.9039, f_measure: 0.8714, kappa: 0.8079, kb_relative_information_score: 824611.1489, 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: 0.9751, f_measure: 0.8864, kappa: 0.8303, kb_relative_information_score: 792772.2483, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8868, predictive_accuracy: 0.8868, prior_entropy: 1.585, recall: 0.8868, relative_absolute_error: 0.252, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.4974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.8867, kappa: 0.8307, kb_relative_information_score: 793009.0078, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8871, predictive_accuracy: 0.8871, prior_entropy: 1.585, recall: 0.8871, relative_absolute_error: 0.2518, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.234, root_relative_squared_error: 0.4965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.8909, kappa: 0.837, kb_relative_information_score: 787034.6077, mean_absolute_error: 0.1167, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8913, predictive_accuracy: 0.8913, prior_entropy: 1.585, recall: 0.8913, relative_absolute_error: 0.2625, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2305, root_relative_squared_error: 0.4889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.8919, kappa: 0.8385, kb_relative_information_score: 787684.0099, mean_absolute_error: 0.1165, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8923, predictive_accuracy: 0.8923, prior_entropy: 1.585, recall: 0.8923, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.4863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.887, kappa: 0.8312, kb_relative_information_score: 793265.871, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8874, predictive_accuracy: 0.8874, prior_entropy: 1.585, recall: 0.8874, relative_absolute_error: 0.2517, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.8871, kappa: 0.8313, kb_relative_information_score: 793316.7666, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8876, predictive_accuracy: 0.8875, prior_entropy: 1.585, recall: 0.8875, relative_absolute_error: 0.2517, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.8922, kappa: 0.8389, kb_relative_information_score: 787298.0728, mean_absolute_error: 0.1168, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8926, predictive_accuracy: 0.8926, prior_entropy: 1.585, recall: 0.8926, relative_absolute_error: 0.2629, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.4861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6894, f_measure: 0.4382, kappa: 0.3272, kb_relative_information_score: 249031.0996, mean_absolute_error: 0.3753, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.4658, predictive_accuracy: 0.5498, prior_entropy: 1.585, recall: 0.5498, relative_absolute_error: 0.8444, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.8849, kappa: 0.8277, kb_relative_information_score: 793235.7353, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8849, predictive_accuracy: 0.8851, prior_entropy: 1.585, recall: 0.8851, relative_absolute_error: 0.2487, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.5024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.8872, kappa: 0.8314, kb_relative_information_score: 555936.0302, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8875, predictive_accuracy: 0.8876, prior_entropy: 1.585, recall: 0.8876, relative_absolute_error: 0.5662, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.6633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, f_measure: 0.8671, kappa: 0.8012, kb_relative_information_score: 666569.2196, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8673, predictive_accuracy: 0.8675, prior_entropy: 1.585, recall: 0.8675, relative_absolute_error: 0.4149, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2665, root_relative_squared_error: 0.5654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.8595, kappa: 0.7897, kb_relative_information_score: 692658.8711, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8596, predictive_accuracy: 0.8598, prior_entropy: 1.585, recall: 0.8598, relative_absolute_error: 0.377, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2685, root_relative_squared_error: 0.5695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7272, f_measure: 0.4661, kappa: 0.3452, kb_relative_information_score: 262985.9167, mean_absolute_error: 0.3681, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.5742, predictive_accuracy: 0.5619, prior_entropy: 1.585, recall: 0.5619, relative_absolute_error: 0.8283, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.9069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.8411, kappa: 0.762, kb_relative_information_score: 626327.3722, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8412, predictive_accuracy: 0.8414, prior_entropy: 1.585, recall: 0.8414, relative_absolute_error: 0.4612, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2869, root_relative_squared_error: 0.6085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6314, f_measure: 0.4975, kappa: 0.2547, kb_relative_information_score: 319402.4326, mean_absolute_error: 0.3314, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.4952, predictive_accuracy: 0.5029, prior_entropy: 1.585, recall: 0.5029, relative_absolute_error: 0.7457, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5754, root_relative_squared_error: 1.2205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.872, kappa: 0.8088, kb_relative_information_score: 789238.1304, mean_absolute_error: 0.1107, 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: 0.2491, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.5411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6658, f_measure: 0.4563, kappa: 0.3304, kb_relative_information_score: 389001.7469, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.4077, predictive_accuracy: 0.5537, prior_entropy: 1.585, recall: 0.5537, relative_absolute_error: 0.6694, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5455, root_relative_squared_error: 1.1571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7041, f_measure: 0.4597, kappa: 0.336, kb_relative_information_score: 380518.28, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.4114, predictive_accuracy: 0.5574, prior_entropy: 1.585, recall: 0.5574, relative_absolute_error: 0.6868, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5191, root_relative_squared_error: 1.1012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6773, f_measure: 0.4715, kappa: 0.3532, kb_relative_information_score: 409670.6004, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.4279, predictive_accuracy: 0.5688, prior_entropy: 1.585, recall: 0.5688, relative_absolute_error: 0.6468, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5362, root_relative_squared_error: 1.1374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7237, f_measure: 0.4696, kappa: 0.3494, kb_relative_information_score: 369293.6901, mean_absolute_error: 0.3154, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.4281, predictive_accuracy: 0.5663, prior_entropy: 1.585, recall: 0.5663, relative_absolute_error: 0.7096, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0643,
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: 0.7993, 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: 0.9499, 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: 0.9632, f_measure: 0.8725, kappa: 0.8094, kb_relative_information_score: 787053.5024, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8729, 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: 0.9288, f_measure: 0.8508, kappa: 0.7763, kb_relative_information_score: 790248.8539, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8509, predictive_accuracy: 0.8509, prior_entropy: 1.585, recall: 0.8509, relative_absolute_error: 0.237, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2907, root_relative_squared_error: 0.6166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.176, kappa: -0, kb_relative_information_score: 2438.4996, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.3333, predictive_accuracy: 0.3383, prior_entropy: 1.585, recall: 0.3383, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3338, kappa: 0.0006, kb_relative_information_score: 87877.4844, mean_absolute_error: 0.4442, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.3338, predictive_accuracy: 0.3338, prior_entropy: 1.585, recall: 0.3338, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6665, root_relative_squared_error: 1.4138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.7617, kappa: 0.6433, kb_relative_information_score: 581870.1867, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.7616, predictive_accuracy: 0.7622, prior_entropy: 1.585, recall: 0.7622, relative_absolute_error: 0.4918, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.7074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.8724, kappa: 0.8092, kb_relative_information_score: 789123.6487, mean_absolute_error: 0.1108, 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: 0.2494, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2554, root_relative_squared_error: 0.5417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.872, kappa: 0.8088, kb_relative_information_score: 789238.1304, mean_absolute_error: 0.1107, 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: 0.2491, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.5411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.6359, kappa: 0.4611, kb_relative_information_score: 430472.9603, mean_absolute_error: 0.2762, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.6409, predictive_accuracy: 0.6404, prior_entropy: 1.585, recall: 0.6404, relative_absolute_error: 0.6215, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3789, root_relative_squared_error: 0.8038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.8403, kappa: 0.7695, kb_relative_information_score: 782034.9175, mean_absolute_error: 0.1085, 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: 0.244, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.289, root_relative_squared_error: 0.6131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.8714, kappa: 0.8078, kb_relative_information_score: 824579.6603, 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,

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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