Task
Supervised Classification on Australian

Supervised Classification on Australian

Task 3019 Supervised Classification Australian 675 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.8366, kappa: 0.6705, kb_relative_information_score: 376.3606, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8383, predictive_accuracy: 0.8362, prior_entropy: 0.9913, recall: 0.8362, relative_absolute_error: 0.482, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.8682, kappa: 0.7333, kb_relative_information_score: 435.9714, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8683, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.3923, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.312, root_relative_squared_error: 0.6277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.8511, kappa: 0.7025, kb_relative_information_score: 397.9392, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8601, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.456, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.6689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.8468, kappa: 0.6916, kb_relative_information_score: 404.4441, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8496, predictive_accuracy: 0.8464, prior_entropy: 0.9913, recall: 0.8464, relative_absolute_error: 0.4422, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3497, root_relative_squared_error: 0.7036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.666, f_measure: 0.7671, kappa: 0.5275, kb_relative_information_score: 304.1394, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7747, predictive_accuracy: 0.771, prior_entropy: 0.9913, recall: 0.771, relative_absolute_error: 0.583, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.8292, kappa: 0.6547, kb_relative_information_score: 387.9954, mean_absolute_error: 0.2256, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8296, predictive_accuracy: 0.829, prior_entropy: 0.9913, recall: 0.829, relative_absolute_error: 0.4568, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.8682, kappa: 0.7333, kb_relative_information_score: 502.2076, mean_absolute_error: 0.1341, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8683, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3525, root_relative_squared_error: 0.7094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, f_measure: 0.7081, kappa: 0.4185, kb_relative_information_score: 174.7291, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7502, predictive_accuracy: 0.7246, prior_entropy: 0.9913, recall: 0.7246, relative_absolute_error: 0.7823, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.8298, kappa: 0.6545, kb_relative_information_score: 393.3879, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8355, predictive_accuracy: 0.8319, prior_entropy: 0.9913, recall: 0.8319, relative_absolute_error: 0.4477, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.7052, kappa: 0.4161, kb_relative_information_score: 300.7475, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7583, predictive_accuracy: 0.7246, prior_entropy: 0.9913, recall: 0.7246, relative_absolute_error: 0.5618, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8866, f_measure: 0.8117, kappa: 0.6188, kb_relative_information_score: 382.5839, mean_absolute_error: 0.2287, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8117, predictive_accuracy: 0.8116, prior_entropy: 0.9913, recall: 0.8116, relative_absolute_error: 0.463, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.7381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, f_measure: 0.6931, kappa: 0.3936, kb_relative_information_score: 280.9285, mean_absolute_error: 0.2921, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7488, predictive_accuracy: 0.7145, prior_entropy: 0.9913, recall: 0.7145, relative_absolute_error: 0.5913, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5162, root_relative_squared_error: 1.0388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.8496, kappa: 0.6964, kb_relative_information_score: 430.6485, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8508, predictive_accuracy: 0.8493, prior_entropy: 0.9913, recall: 0.8493, relative_absolute_error: 0.3902, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3373, root_relative_squared_error: 0.6787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 484.7519, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3761, root_relative_squared_error: 0.7569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.864, kappa: 0.7256, kb_relative_information_score: 452.1872, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8653, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.3602, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.6392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.8563, kappa: 0.7083, kb_relative_information_score: 325.8058, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.862, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.5753, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.6885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.3963, kb_relative_information_score: -0.0411, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.8479, kappa: 0.6924, kb_relative_information_score: 427.7883, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8481, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.393, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.6968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.8261, kappa: 0.6479, kb_relative_information_score: 403.1358, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8261, predictive_accuracy: 0.8261, prior_entropy: 0.9913, recall: 0.8261, relative_absolute_error: 0.4289, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3518, root_relative_squared_error: 0.7078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.8453, kappa: 0.6878, kb_relative_information_score: 418.1108, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8466, predictive_accuracy: 0.8449, prior_entropy: 0.9913, recall: 0.8449, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.6898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, f_measure: 0.8476, kappa: 0.691, kb_relative_information_score: 441.5676, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8476, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.3762, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.7573, kappa: 0.5117, kb_relative_information_score: 371.5831, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.785, predictive_accuracy: 0.7667, prior_entropy: 0.9913, recall: 0.7667, relative_absolute_error: 0.4587, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.8822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.8352, kappa: 0.6677, kb_relative_information_score: 406.5977, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.837, predictive_accuracy: 0.8348, prior_entropy: 0.9913, recall: 0.8348, relative_absolute_error: 0.4269, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7597, f_measure: 0.6861, kappa: 0.3626, kb_relative_information_score: 191.6485, mean_absolute_error: 0.366, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6886, predictive_accuracy: 0.6899, prior_entropy: 0.9913, recall: 0.6899, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4497, root_relative_squared_error: 0.9049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8633, kappa: 0.7226, kb_relative_information_score: 474.2542, mean_absolute_error: 0.1581, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.864, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.32, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.6632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8254, f_measure: 0.7168, kappa: 0.4347, kb_relative_information_score: 309.5119, mean_absolute_error: 0.2716, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7561, predictive_accuracy: 0.7319, prior_entropy: 0.9913, recall: 0.7319, relative_absolute_error: 0.5498, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4812, root_relative_squared_error: 0.9682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, f_measure: 0.8476, kappa: 0.691, kb_relative_information_score: 441.5676, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8476, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.3762, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8741, kappa: 0.7455, kb_relative_information_score: 427.8675, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8745, predictive_accuracy: 0.8739, prior_entropy: 0.9913, recall: 0.8739, relative_absolute_error: 0.4087, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, f_measure: 0.7063, kappa: 0.4152, kb_relative_information_score: 303.5398, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7491, predictive_accuracy: 0.7232, prior_entropy: 0.9913, recall: 0.7232, relative_absolute_error: 0.5569, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.8569, kappa: 0.7142, kb_relative_information_score: 406.7924, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8667, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.4431, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.6644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.8568, kappa: 0.7109, kb_relative_information_score: 407.4164, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8579, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.4339, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.326, root_relative_squared_error: 0.6559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.8292, kappa: 0.6547, kb_relative_information_score: 449.8051, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8296, predictive_accuracy: 0.829, prior_entropy: 0.9913, recall: 0.829, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.8255, kappa: 0.6461, kb_relative_information_score: 414.1894, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8259, predictive_accuracy: 0.8261, prior_entropy: 0.9913, recall: 0.8261, relative_absolute_error: 0.4072, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3875, root_relative_squared_error: 0.7797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.3963, kb_relative_information_score: -0.0411, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 484.3395, mean_absolute_error: 0.147, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2975, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.7457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7846, f_measure: 0.7939, kappa: 0.5826, kb_relative_information_score: 407.0648, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8075, predictive_accuracy: 0.7986, prior_entropy: 0.9913, recall: 0.7986, relative_absolute_error: 0.4078, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.9032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.861, kappa: 0.7187, kb_relative_information_score: 494.5806, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8611, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.2817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.8684, kappa: 0.7343, kb_relative_information_score: 504.7569, mean_absolute_error: 0.1319, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8694, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.267, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.7308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8491, f_measure: 0.8531, kappa: 0.702, kb_relative_information_score: 484.4043, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8537, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.7699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, f_measure: 0.8608, kappa: 0.7181, kb_relative_information_score: 494.5806, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8608, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.2817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8467, f_measure: 0.8453, kappa: 0.6884, kb_relative_information_score: 472.1928, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8476, predictive_accuracy: 0.8449, prior_entropy: 0.9913, recall: 0.8449, relative_absolute_error: 0.3139, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.7924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.8569, kappa: 0.7142, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8667, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.2905, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, f_measure: 0.8476, kappa: 0.691, kb_relative_information_score: 441.5676, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8476, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.3762, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.8465, kappa: 0.6894, kb_relative_information_score: 439.8862, mean_absolute_error: 0.1846, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8466, predictive_accuracy: 0.8464, prior_entropy: 0.9913, recall: 0.8464, relative_absolute_error: 0.3738, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.6826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.838, kappa: 0.6731, kb_relative_information_score: 446.2569, mean_absolute_error: 0.1756, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8392, predictive_accuracy: 0.8377, prior_entropy: 0.9913, recall: 0.8377, relative_absolute_error: 0.3554, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3862, root_relative_squared_error: 0.7772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8865, f_measure: 0.8337, kappa: 0.6644, kb_relative_information_score: 446.671, mean_absolute_error: 0.1752, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8351, predictive_accuracy: 0.8333, prior_entropy: 0.9913, recall: 0.8333, relative_absolute_error: 0.3547, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8592, f_measure: 0.8621, kappa: 0.7204, kb_relative_information_score: 496.6159, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8622, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.2787, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.7467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.8611, kappa: 0.7196, kb_relative_information_score: 494.5806, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8621, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.2817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.861, kappa: 0.719, kb_relative_information_score: 494.5806, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8614, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.2817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.8697, kappa: 0.7366, kb_relative_information_score: 506.7921, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8701, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.2641, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.7267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8946, f_measure: 0.8264, kappa: 0.6493, kb_relative_information_score: 434.2824, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8272, predictive_accuracy: 0.8261, prior_entropy: 0.9913, recall: 0.8261, relative_absolute_error: 0.3722, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.7919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.8612, kappa: 0.7201, kb_relative_information_score: 440.7685, mean_absolute_error: 0.1871, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.863, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.3787, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.8625, kappa: 0.7221, kb_relative_information_score: 439.3176, mean_absolute_error: 0.1893, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.863, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3831, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.8423, kappa: 0.6813, kb_relative_information_score: 461.7693, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8429, predictive_accuracy: 0.842, prior_entropy: 0.9913, recall: 0.842, relative_absolute_error: 0.3332, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.7238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.8682, kappa: 0.7333, kb_relative_information_score: 502.2076, mean_absolute_error: 0.1341, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8683, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3525, root_relative_squared_error: 0.7094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.8476, kappa: 0.6912, kb_relative_information_score: 371.5639, mean_absolute_error: 0.2459, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8476, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.4978, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3253, root_relative_squared_error: 0.6545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.8698, kappa: 0.7373, kb_relative_information_score: 449.7925, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.871, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.3669, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.8698, kappa: 0.7373, kb_relative_information_score: 449.7925, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.871, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.3669, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.8698, kappa: 0.7373, kb_relative_information_score: 449.7925, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.871, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.3669, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.8698, kappa: 0.7373, kb_relative_information_score: 449.7925, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.871, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.3669, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.8698, kappa: 0.7373, kb_relative_information_score: 449.7925, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.871, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.3669, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.8698, kappa: 0.7373, kb_relative_information_score: 449.7925, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.871, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.3669, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.8785, kappa: 0.7548, kb_relative_information_score: 435.0398, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8797, predictive_accuracy: 0.8783, prior_entropy: 0.9913, recall: 0.8783, relative_absolute_error: 0.397, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3045, root_relative_squared_error: 0.6126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.8255, kappa: 0.6461, kb_relative_information_score: 414.1894, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8259, predictive_accuracy: 0.8261, prior_entropy: 0.9913, recall: 0.8261, relative_absolute_error: 0.4072, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3875, root_relative_squared_error: 0.7797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.8554, kappa: 0.7083, kb_relative_information_score: 412.2037, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8569, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4298, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3243, root_relative_squared_error: 0.6526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.8565, kappa: 0.7096, kb_relative_information_score: 433.8576, mean_absolute_error: 0.195, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8566, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.3948, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3089, root_relative_squared_error: 0.6216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.8504, kappa: 0.6962, kb_relative_information_score: 324.0153, mean_absolute_error: 0.2856, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8565, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.5783, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3417, root_relative_squared_error: 0.6876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.8569, kappa: 0.7113, kb_relative_information_score: 437.1599, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8585, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.3847, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.6543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.8698, kappa: 0.7373, kb_relative_information_score: 449.7925, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.871, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.3669, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.8698, kappa: 0.7373, kb_relative_information_score: 449.7925, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.871, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.3669, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, f_measure: 0.8552, kappa: 0.7072, kb_relative_information_score: 423.6725, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8555, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4114, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.6303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.3963, kb_relative_information_score: -0.0411, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.8698, kappa: 0.7373, kb_relative_information_score: 449.7925, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.871, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.3669, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.8497, kappa: 0.697, kb_relative_information_score: 429.7334, mean_absolute_error: 0.1959, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8518, predictive_accuracy: 0.8493, prior_entropy: 0.9913, recall: 0.8493, relative_absolute_error: 0.3966, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8611, kappa: 0.7196, kb_relative_information_score: 447.5708, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8621, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.3705, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3081, root_relative_squared_error: 0.6199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9348, f_measure: 0.8669, kappa: 0.7313, kb_relative_information_score: 444.7346, mean_absolute_error: 0.1859, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8679, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.3764, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3077, root_relative_squared_error: 0.6191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.8612, kappa: 0.7201, kb_relative_information_score: 441.5538, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.863, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.3823, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.305, root_relative_squared_error: 0.6138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.8726, kappa: 0.7425, kb_relative_information_score: 428.2733, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.873, predictive_accuracy: 0.8725, prior_entropy: 0.9913, recall: 0.8725, relative_absolute_error: 0.408, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.6188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 383.8945, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.6951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 383.8945, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.6951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.8133, kappa: 0.6226, kb_relative_information_score: 426.6929, mean_absolute_error: 0.1875, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8138, predictive_accuracy: 0.813, prior_entropy: 0.9913, recall: 0.813, relative_absolute_error: 0.3796, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4326, root_relative_squared_error: 0.8706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 383.8945, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.6951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 383.8945, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.6951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.8433, kappa: 0.6825, kb_relative_information_score: 450.9473, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8433, predictive_accuracy: 0.8435, prior_entropy: 0.9913, recall: 0.8435, relative_absolute_error: 0.356, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 394.5567, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4641, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.6791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 383.8945, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.6951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.8565, kappa: 0.7096, kb_relative_information_score: 414.4914, mean_absolute_error: 0.2113, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8566, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.4277, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.6645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.8536, kappa: 0.7037, kb_relative_information_score: 422.4184, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8537, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.415, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.6591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, f_measure: 0.8564, kappa: 0.7092, kb_relative_information_score: 424.1861, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8564, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.4133, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.6617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, f_measure: 0.8577, kappa: 0.7115, kb_relative_information_score: 428.7972, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8578, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.4048, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.6662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9032, f_measure: 0.8521, kappa: 0.7005, kb_relative_information_score: 429.3765, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8521, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.4003, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.6711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 395.7607, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4623, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.6793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.8566, kappa: 0.7098, kb_relative_information_score: 442.7173, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8567, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.375, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.6512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.8508, kappa: 0.6983, kb_relative_information_score: 442.581, mean_absolute_error: 0.1862, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.851, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.3769, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.6598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8773, f_measure: 0.8059, kappa: 0.6071, kb_relative_information_score: 407.9068, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8059, predictive_accuracy: 0.8058, prior_entropy: 0.9913, recall: 0.8058, relative_absolute_error: 0.4079, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.388, root_relative_squared_error: 0.7808,

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