OpenML
Supervised Classification on one-hundred-plants-shape

Supervised Classification on one-hundred-plants-shape

Task 9955 Supervised Classification one-hundred-plants-shape 13592 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_50 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.5966, kappa: 0.6117, kb_relative_information_score: 1074.1619, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6043, predictive_accuracy: 0.6156, prior_entropy: 6.6439, recall: 0.6156, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0775, root_relative_squared_error: 0.7792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.5479, kappa: 0.5682, kb_relative_information_score: 1058.7353, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.563, predictive_accuracy: 0.5725, prior_entropy: 6.6439, recall: 0.5725, relative_absolute_error: 0.7059, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.7908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, kappa: 0.447, kb_relative_information_score: 985.5485, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4525, prior_entropy: 6.6439, recall: 0.4525, relative_absolute_error: 0.7183, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0832, root_relative_squared_error: 0.8361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.4945, kappa: 0.5139, kb_relative_information_score: 1048.6075, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4978, predictive_accuracy: 0.5188, prior_entropy: 6.6439, recall: 0.5188, relative_absolute_error: 0.6782, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.7988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.4425, kappa: 0.4665, kb_relative_information_score: 1009.8274, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4528, predictive_accuracy: 0.4719, prior_entropy: 6.6439, recall: 0.4719, relative_absolute_error: 0.6818, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.8203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, kappa: 0.5253, kb_relative_information_score: 986.1061, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.53, prior_entropy: 6.6439, recall: 0.53, relative_absolute_error: 0.7807, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0835, root_relative_squared_error: 0.8391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.4749, kappa: 0.4792, kb_relative_information_score: 1032.5821, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.478, predictive_accuracy: 0.4844, prior_entropy: 6.6439, recall: 0.4844, relative_absolute_error: 0.6258, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0808, root_relative_squared_error: 0.8122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, kappa: 0.4779, kb_relative_information_score: 909.323, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4831, prior_entropy: 6.6439, recall: 0.4831, relative_absolute_error: 0.8396, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0878, root_relative_squared_error: 0.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, kappa: 0.4362, kb_relative_information_score: 970.9512, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4419, prior_entropy: 6.6439, recall: 0.4419, relative_absolute_error: 0.7547, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0842, root_relative_squared_error: 0.8464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, kappa: 0.4842, kb_relative_information_score: 920.7269, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4894, prior_entropy: 6.6439, recall: 0.4894, relative_absolute_error: 0.8311, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0872, root_relative_squared_error: 0.8763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.5611, kappa: 0.577, kb_relative_information_score: 1073.4122, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5727, predictive_accuracy: 0.5813, prior_entropy: 6.6439, recall: 0.5813, relative_absolute_error: 0.6922, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0777, root_relative_squared_error: 0.7813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, kappa: 0.4735, kb_relative_information_score: 995.2327, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4788, prior_entropy: 6.6439, recall: 0.4788, relative_absolute_error: 0.7511, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.8318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.355, kappa: 0.3731, kb_relative_information_score: 879.0177, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3486, predictive_accuracy: 0.3794, prior_entropy: 6.6439, recall: 0.3794, relative_absolute_error: 0.7091, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.9012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.4452, kappa: 0.459, kb_relative_information_score: 998.4468, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4486, predictive_accuracy: 0.4644, prior_entropy: 6.6439, recall: 0.4644, relative_absolute_error: 0.6685, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.8289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, kappa: 0.5246, kb_relative_information_score: 1001.5837, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5294, prior_entropy: 6.6439, recall: 0.5294, relative_absolute_error: 0.7654, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.8293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, kappa: 0.5505, kb_relative_information_score: 999.1982, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.555, prior_entropy: 6.6439, recall: 0.555, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.8292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.5246, kappa: 0.5568, kb_relative_information_score: 989.5593, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5474, predictive_accuracy: 0.5613, prior_entropy: 6.6439, recall: 0.5613, relative_absolute_error: 0.7786, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.083, root_relative_squared_error: 0.8339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, kappa: 0.5, kb_relative_information_score: 949.6615, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.505, prior_entropy: 6.6439, recall: 0.505, relative_absolute_error: 0.811, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0857, root_relative_squared_error: 0.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.4357, kappa: 0.4444, kb_relative_information_score: 1000.7761, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.435, predictive_accuracy: 0.45, prior_entropy: 6.6439, recall: 0.45, relative_absolute_error: 0.658, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.8334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.4903, kappa: 0.5076, kb_relative_information_score: 1040.1559, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4926, predictive_accuracy: 0.5125, prior_entropy: 6.6439, recall: 0.5125, relative_absolute_error: 0.6549, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.7995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.4688, kappa: 0.4741, kb_relative_information_score: 1027.4205, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4745, predictive_accuracy: 0.4794, prior_entropy: 6.6439, recall: 0.4794, relative_absolute_error: 0.6317, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0812, root_relative_squared_error: 0.8158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, kappa: 0.5297, kb_relative_information_score: 976.3252, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5344, prior_entropy: 6.6439, recall: 0.5344, relative_absolute_error: 0.7907, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.084, root_relative_squared_error: 0.8439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.3632, kappa: 0.3813, kb_relative_information_score: 932.3077, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3592, predictive_accuracy: 0.3875, prior_entropy: 6.6439, recall: 0.3875, relative_absolute_error: 0.7093, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0871, root_relative_squared_error: 0.8751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, kappa: 0.3819, kb_relative_information_score: 914.8673, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3881, prior_entropy: 6.6439, recall: 0.3881, relative_absolute_error: 0.7259, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0876, root_relative_squared_error: 0.8803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.4894, kappa: 0.5082, kb_relative_information_score: 1045.2876, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4959, predictive_accuracy: 0.5131, prior_entropy: 6.6439, recall: 0.5131, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0793, root_relative_squared_error: 0.7975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.3797, kappa: 0.3927, kb_relative_information_score: 936.5707, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3809, predictive_accuracy: 0.3988, prior_entropy: 6.6439, recall: 0.3988, relative_absolute_error: 0.6967, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0867, root_relative_squared_error: 0.8715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, kappa: 0.4937, kb_relative_information_score: 937.0324, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4988, prior_entropy: 6.6439, recall: 0.4988, relative_absolute_error: 0.8207, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0864, root_relative_squared_error: 0.8679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.535, kappa: 0.5505, kb_relative_information_score: 1077.596, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5403, predictive_accuracy: 0.555, prior_entropy: 6.6439, recall: 0.555, relative_absolute_error: 0.6638, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0777, root_relative_squared_error: 0.7809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.5336, kappa: 0.5587, kb_relative_information_score: 1040.7409, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5547, predictive_accuracy: 0.5631, prior_entropy: 6.6439, recall: 0.5631, relative_absolute_error: 0.7279, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0799, root_relative_squared_error: 0.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.5335, kappa: 0.5581, kb_relative_information_score: 1051.3844, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5458, predictive_accuracy: 0.5625, prior_entropy: 6.6439, recall: 0.5625, relative_absolute_error: 0.7143, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0794, root_relative_squared_error: 0.7979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.6498, kappa: 0.6547, kb_relative_information_score: 1131.696, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6568, predictive_accuracy: 0.6581, prior_entropy: 6.6439, recall: 0.6581, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0736, root_relative_squared_error: 0.7395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, kappa: 0.5448, kb_relative_information_score: 1037.1399, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5494, prior_entropy: 6.6439, recall: 0.5494, relative_absolute_error: 0.7289, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0803, root_relative_squared_error: 0.8069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, kappa: 0.3681, kb_relative_information_score: 917.0234, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3744, prior_entropy: 6.6439, recall: 0.3744, relative_absolute_error: 0.7346, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0878, root_relative_squared_error: 0.8824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, kappa: 0.4968, kb_relative_information_score: 1009.1359, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5019, prior_entropy: 6.6439, recall: 0.5019, relative_absolute_error: 0.7472, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0819, root_relative_squared_error: 0.8235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, kappa: 0.4665, kb_relative_information_score: 898.8828, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4719, prior_entropy: 6.6439, recall: 0.4719, relative_absolute_error: 0.8438, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0884, root_relative_squared_error: 0.8882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, kappa: 0.5101, kb_relative_information_score: 973.9361, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.515, prior_entropy: 6.6439, recall: 0.515, relative_absolute_error: 0.7911, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.5471, kappa: 0.56, kb_relative_information_score: 1095.8659, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5559, predictive_accuracy: 0.5644, prior_entropy: 6.6439, recall: 0.5644, relative_absolute_error: 0.627, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0761, root_relative_squared_error: 0.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.5296, kappa: 0.56, kb_relative_information_score: 993.9416, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5636, predictive_accuracy: 0.5644, prior_entropy: 6.6439, recall: 0.5644, relative_absolute_error: 0.7754, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0827, root_relative_squared_error: 0.8308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.4326, kappa: 0.4463, kb_relative_information_score: 1010.0687, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4303, predictive_accuracy: 0.4519, prior_entropy: 6.6439, recall: 0.4519, relative_absolute_error: 0.6685, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.082, root_relative_squared_error: 0.8245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.5385, kappa: 0.5631, kb_relative_information_score: 1044.4839, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5522, predictive_accuracy: 0.5675, prior_entropy: 6.6439, recall: 0.5675, relative_absolute_error: 0.7253, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0798, root_relative_squared_error: 0.8018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.4175, kappa: 0.44, kb_relative_information_score: 998.3687, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4246, predictive_accuracy: 0.4456, prior_entropy: 6.6439, recall: 0.4456, relative_absolute_error: 0.7113, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.8328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, kappa: 0.5234, kb_relative_information_score: 921.0997, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5281, prior_entropy: 6.6439, recall: 0.5281, relative_absolute_error: 0.8301, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0867, root_relative_squared_error: 0.8713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.5582, kappa: 0.5606, kb_relative_information_score: 1101.5594, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5672, predictive_accuracy: 0.565, prior_entropy: 6.6439, recall: 0.565, relative_absolute_error: 0.5783, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.076, root_relative_squared_error: 0.7641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, kappa: 0.4949, kb_relative_information_score: 950.7156, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5, prior_entropy: 6.6439, recall: 0.5, relative_absolute_error: 0.81, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.8607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, kappa: 0.464, kb_relative_information_score: 999.1285, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4694, prior_entropy: 6.6439, recall: 0.4694, relative_absolute_error: 0.7358, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.8286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, kappa: 0.4716, kb_relative_information_score: 1001.5932, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4769, prior_entropy: 6.6439, recall: 0.4769, relative_absolute_error: 0.7371, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0823, root_relative_squared_error: 0.8276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, kappa: 0.5215, kb_relative_information_score: 1022.4093, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5263, prior_entropy: 6.6439, recall: 0.5263, relative_absolute_error: 0.738, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0813, root_relative_squared_error: 0.8174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, kappa: 0.3788, kb_relative_information_score: 934.5564, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.385, prior_entropy: 6.6439, recall: 0.385, relative_absolute_error: 0.7351, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0868, root_relative_squared_error: 0.8721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.3772, kappa: 0.4034, kb_relative_information_score: 959.1581, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3761, predictive_accuracy: 0.4094, prior_entropy: 6.6439, recall: 0.4094, relative_absolute_error: 0.7228, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0854, root_relative_squared_error: 0.8581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, kappa: 0.3706, kb_relative_information_score: 927.0069, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3769, prior_entropy: 6.6439, recall: 0.3769, relative_absolute_error: 0.7474, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0872, root_relative_squared_error: 0.8767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, kappa: 0.5562, kb_relative_information_score: 960.4775, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5606, prior_entropy: 6.6439, recall: 0.5606, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0844, root_relative_squared_error: 0.8482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, kappa: 0.5183, kb_relative_information_score: 990.5693, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5231, prior_entropy: 6.6439, recall: 0.5231, relative_absolute_error: 0.7732, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.083, root_relative_squared_error: 0.8344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, kappa: 0.4634, kb_relative_information_score: 985.85, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4688, prior_entropy: 6.6439, recall: 0.4688, relative_absolute_error: 0.7616, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0834, root_relative_squared_error: 0.8383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, kappa: 0.4615, kb_relative_information_score: 889.8392, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4669, prior_entropy: 6.6439, recall: 0.4669, relative_absolute_error: 0.8492, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0888, root_relative_squared_error: 0.8921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.549, kappa: 0.572, kb_relative_information_score: 1055.7959, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5614, predictive_accuracy: 0.5763, prior_entropy: 6.6439, recall: 0.5763, relative_absolute_error: 0.7118, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0789, root_relative_squared_error: 0.7928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.3983, kappa: 0.4186, kb_relative_information_score: 978.8085, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.401, predictive_accuracy: 0.4244, prior_entropy: 6.6439, recall: 0.4244, relative_absolute_error: 0.7102, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0841, root_relative_squared_error: 0.8456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.4102, kappa: 0.4287, kb_relative_information_score: 989.2936, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.412, predictive_accuracy: 0.4344, prior_entropy: 6.6439, recall: 0.4344, relative_absolute_error: 0.6991, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0834, root_relative_squared_error: 0.8378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.388, kappa: 0.4129, kb_relative_information_score: 963.9735, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3921, predictive_accuracy: 0.4188, prior_entropy: 6.6439, recall: 0.4188, relative_absolute_error: 0.7228, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0851, root_relative_squared_error: 0.8549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.4772, kappa: 0.4937, kb_relative_information_score: 1040.5149, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4773, predictive_accuracy: 0.4988, prior_entropy: 6.6439, recall: 0.4988, relative_absolute_error: 0.6623, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0801, root_relative_squared_error: 0.8053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.4805, kappa: 0.4968, kb_relative_information_score: 1038.6777, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4827, predictive_accuracy: 0.5019, prior_entropy: 6.6439, recall: 0.5019, relative_absolute_error: 0.67, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0803, root_relative_squared_error: 0.8068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.6036, kappa: 0.6149, kb_relative_information_score: 1116.707, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6104, predictive_accuracy: 0.6188, prior_entropy: 6.6439, recall: 0.6188, relative_absolute_error: 0.6445, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.7525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, kappa: 0.5549, kb_relative_information_score: 1037.3773, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5594, prior_entropy: 6.6439, recall: 0.5594, relative_absolute_error: 0.73, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.08, root_relative_squared_error: 0.8045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.5257, kappa: 0.5492, kb_relative_information_score: 1055.8509, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5377, predictive_accuracy: 0.5538, prior_entropy: 6.6439, recall: 0.5538, relative_absolute_error: 0.7045, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0792, root_relative_squared_error: 0.7957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.4862, kappa: 0.4836, kb_relative_information_score: 967.5136, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4939, predictive_accuracy: 0.4888, prior_entropy: 6.6439, recall: 0.4888, relative_absolute_error: 0.5519, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.8706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, kappa: 0.3504, kb_relative_information_score: 910.5618, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3569, prior_entropy: 6.6439, recall: 0.3569, relative_absolute_error: 0.7807, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0881, root_relative_squared_error: 0.8851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.6214, kappa: 0.6307, kb_relative_information_score: 1121.4812, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6287, predictive_accuracy: 0.6344, prior_entropy: 6.6439, recall: 0.6344, relative_absolute_error: 0.6457, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0745, root_relative_squared_error: 0.7488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.5391, kappa: 0.565, kb_relative_information_score: 1044.8643, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5572, predictive_accuracy: 0.5694, prior_entropy: 6.6439, recall: 0.5694, relative_absolute_error: 0.7252, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0796, root_relative_squared_error: 0.7999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, kappa: 0.5423, kb_relative_information_score: 1005.2909, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5469, prior_entropy: 6.6439, recall: 0.5469, relative_absolute_error: 0.7646, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0822, root_relative_squared_error: 0.8259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.5023, kappa: 0.5417, kb_relative_information_score: 893.7435, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5383, predictive_accuracy: 0.5463, prior_entropy: 6.6439, recall: 0.5463, relative_absolute_error: 0.842, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0872, root_relative_squared_error: 0.8766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, kappa: 0.4994, kb_relative_information_score: 958.023, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5044, prior_entropy: 6.6439, recall: 0.5044, relative_absolute_error: 0.8013, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.085, root_relative_squared_error: 0.8544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, kappa: 0.488, kb_relative_information_score: 951.1323, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4931, prior_entropy: 6.6439, recall: 0.4931, relative_absolute_error: 0.809, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.8604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.5276, kappa: 0.5619, kb_relative_information_score: 947.3097, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5463, predictive_accuracy: 0.5663, prior_entropy: 6.6439, recall: 0.5663, relative_absolute_error: 0.8076, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0847, root_relative_squared_error: 0.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.4129, kappa: 0.4337, kb_relative_information_score: 991.9468, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4164, predictive_accuracy: 0.4394, prior_entropy: 6.6439, recall: 0.4394, relative_absolute_error: 0.711, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0833, root_relative_squared_error: 0.8371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.4561, kappa: 0.4716, kb_relative_information_score: 1026.1871, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4565, predictive_accuracy: 0.4769, prior_entropy: 6.6439, recall: 0.4769, relative_absolute_error: 0.6737, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0809, root_relative_squared_error: 0.8134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.5469, kappa: 0.5663, kb_relative_information_score: 1071.4132, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5539, predictive_accuracy: 0.5706, prior_entropy: 6.6439, recall: 0.5706, relative_absolute_error: 0.6927, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.078, root_relative_squared_error: 0.7841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.5186, kappa: 0.548, kb_relative_information_score: 1028.3916, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5276, predictive_accuracy: 0.5525, prior_entropy: 6.6439, recall: 0.5525, relative_absolute_error: 0.7398, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0807, root_relative_squared_error: 0.8114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, kappa: 0.3674, kb_relative_information_score: 928.7573, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3738, prior_entropy: 6.6439, recall: 0.3738, relative_absolute_error: 0.7703, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.087, root_relative_squared_error: 0.8743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.471, kappa: 0.4886, kb_relative_information_score: 1033.0482, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4767, predictive_accuracy: 0.4938, prior_entropy: 6.6439, recall: 0.4938, relative_absolute_error: 0.674, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0806, root_relative_squared_error: 0.8098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.4918, kappa: 0.5057, kb_relative_information_score: 1036.2154, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.493, predictive_accuracy: 0.5106, prior_entropy: 6.6439, recall: 0.5106, relative_absolute_error: 0.6529, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.08, root_relative_squared_error: 0.8037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.6498, kappa: 0.6547, kb_relative_information_score: 1145.0302, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6581, predictive_accuracy: 0.6581, prior_entropy: 6.6439, recall: 0.6581, relative_absolute_error: 0.6129, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0728, root_relative_squared_error: 0.7315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.5614, kappa: 0.5783, kb_relative_information_score: 1086.5627, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5752, predictive_accuracy: 0.5825, prior_entropy: 6.6439, recall: 0.5825, relative_absolute_error: 0.676, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0768, root_relative_squared_error: 0.7718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.585, kappa: 0.5953, kb_relative_information_score: 1107.9905, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5912, predictive_accuracy: 0.5994, prior_entropy: 6.6439, recall: 0.5994, relative_absolute_error: 0.6488, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0755, root_relative_squared_error: 0.7584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.6041, kappa: 0.6162, kb_relative_information_score: 1098.4307, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6082, predictive_accuracy: 0.62, prior_entropy: 6.6439, recall: 0.62, relative_absolute_error: 0.6702, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0759, root_relative_squared_error: 0.7632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, kappa: 0.5019, kb_relative_information_score: 930.7643, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5069, prior_entropy: 6.6439, recall: 0.5069, relative_absolute_error: 0.8242, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0865, root_relative_squared_error: 0.8693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.5634, kappa: 0.5878, kb_relative_information_score: 977.485, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5866, predictive_accuracy: 0.5919, prior_entropy: 6.6439, recall: 0.5919, relative_absolute_error: 0.7862, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, kappa: 0.5044, kb_relative_information_score: 963.0024, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5094, prior_entropy: 6.6439, recall: 0.5094, relative_absolute_error: 0.8001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0849, root_relative_squared_error: 0.8535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, kappa: 0.5246, kb_relative_information_score: 854.0943, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5294, prior_entropy: 6.6439, recall: 0.5294, relative_absolute_error: 0.8647, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.8936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, kappa: 0.5063, kb_relative_information_score: 977.6602, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5113, prior_entropy: 6.6439, recall: 0.5113, relative_absolute_error: 0.7843, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0841, root_relative_squared_error: 0.8452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.51, kappa: 0.5227, kb_relative_information_score: 1058.7138, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5132, predictive_accuracy: 0.5275, prior_entropy: 6.6439, recall: 0.5275, relative_absolute_error: 0.642, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0785, root_relative_squared_error: 0.7892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.5781, kappa: 0.5928, kb_relative_information_score: 1092.1504, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5877, predictive_accuracy: 0.5969, prior_entropy: 6.6439, recall: 0.5969, relative_absolute_error: 0.6714, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0766, root_relative_squared_error: 0.7703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, kappa: 0.4558, kb_relative_information_score: 974.465, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4613, prior_entropy: 6.6439, recall: 0.4613, relative_absolute_error: 0.7688, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0841, root_relative_squared_error: 0.8452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.5948, kappa: 0.6042, kb_relative_information_score: 1115.3971, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6042, predictive_accuracy: 0.6081, prior_entropy: 6.6439, recall: 0.6081, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.075, root_relative_squared_error: 0.7533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, kappa: 0.4754, kb_relative_information_score: 891.3911, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4806, prior_entropy: 6.6439, recall: 0.4806, relative_absolute_error: 0.8491, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0885, root_relative_squared_error: 0.8899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, kappa: 0.4893, kb_relative_information_score: 1024.2661, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4944, prior_entropy: 6.6439, recall: 0.4944, relative_absolute_error: 0.7178, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0808, root_relative_squared_error: 0.8123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.5172, kappa: 0.5436, kb_relative_information_score: 1039.9788, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5328, predictive_accuracy: 0.5481, prior_entropy: 6.6439, recall: 0.5481, relative_absolute_error: 0.7249, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0801, root_relative_squared_error: 0.8054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.576, kappa: 0.5865, kb_relative_information_score: 1103.4213, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5835, predictive_accuracy: 0.5906, prior_entropy: 6.6439, recall: 0.5906, relative_absolute_error: 0.6546, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0758, root_relative_squared_error: 0.7617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, kappa: 0.3895, kb_relative_information_score: 943.6798, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3956, prior_entropy: 6.6439, recall: 0.3956, relative_absolute_error: 0.7707, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0862, root_relative_squared_error: 0.8659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.5196, kappa: 0.5518, kb_relative_information_score: 940.7988, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5477, predictive_accuracy: 0.5563, prior_entropy: 6.6439, recall: 0.5563, relative_absolute_error: 0.8117, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.085, root_relative_squared_error: 0.8541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.5709, kappa: 0.5941, kb_relative_information_score: 1004.9518, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5919, predictive_accuracy: 0.5981, prior_entropy: 6.6439, recall: 0.5981, relative_absolute_error: 0.7641, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.8198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.5506, kappa: 0.5739, kb_relative_information_score: 1048.0645, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5745, predictive_accuracy: 0.5781, prior_entropy: 6.6439, recall: 0.5781, relative_absolute_error: 0.7236, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0794, root_relative_squared_error: 0.7977,

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

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs