Task
Supervised Classification on Australian

Supervised Classification on Australian

Task 125923 Supervised Classification Australian 208614 runs submitted
1 likes downloaded by 6 people , 12 total downloads 0 issues
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  • OpenML100 study_107 study_123 study_14
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208614 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 15.2126, mean_absolute_error: 0.4849, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9818, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.3531, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9996, 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: 0.8865, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 403.4178, mean_absolute_error: 0.2186, 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: 0.4425, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3442, root_relative_squared_error: 0.6926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5062, kb_relative_information_score: -0.9955, mean_absolute_error: 0.4944, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0009, 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: 0.5, kb_relative_information_score: 6.283, mean_absolute_error: 0.4904, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9928, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.498, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 6.3639, mean_absolute_error: 0.4903, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9927, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.498, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -9.5708, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.009, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4986, root_relative_squared_error: 1.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 0.8289, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5089, f_measure: 0.493, kappa: 0.0171, kb_relative_information_score: -16.2675, mean_absolute_error: 0.5029, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5154, predictive_accuracy: 0.4971, prior_entropy: 0.9913, recall: 0.4971, relative_absolute_error: 1.0181, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.7092, root_relative_squared_error: 1.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8625, kappa: 0.7222, kb_relative_information_score: 351.8578, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8632, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.5352, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.332, root_relative_squared_error: 0.6681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.8626, kappa: 0.7228, kb_relative_information_score: 419.9613, mean_absolute_error: 0.2074, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.864, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.42, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3231, root_relative_squared_error: 0.6501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 4.17, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 3.0007, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -89.5366, mean_absolute_error: 0.5551, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.4449, prior_entropy: 0.9913, recall: 0.4449, relative_absolute_error: 1.1237, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.745, root_relative_squared_error: 1.4992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8583, kappa: 0.7141, kb_relative_information_score: 367.7409, mean_absolute_error: 0.2517, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8598, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.5096, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.6677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 14.1318, mean_absolute_error: 0.4856, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9831, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5027, root_relative_squared_error: 1.0115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 22.1627, mean_absolute_error: 0.4804, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9725, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5119, root_relative_squared_error: 1.0302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.854, kappa: 0.7083, kb_relative_information_score: 412.8903, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8631, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.4313, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.6521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.8323, kappa: 0.6596, kb_relative_information_score: 419.91, mean_absolute_error: 0.199, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.834, predictive_accuracy: 0.8333, prior_entropy: 0.9913, recall: 0.8333, relative_absolute_error: 0.403, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.7266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -89.5366, mean_absolute_error: 0.5551, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.4449, prior_entropy: 0.9913, recall: 0.4449, relative_absolute_error: 1.1237, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.745, root_relative_squared_error: 1.4992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8483, f_measure: 0.8222, kappa: 0.6415, kb_relative_information_score: 50.6064, mean_absolute_error: 0.4688, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8241, predictive_accuracy: 0.8217, prior_entropy: 0.9913, recall: 0.8217, relative_absolute_error: 0.9491, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4703, root_relative_squared_error: 0.9463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.3362, mean_absolute_error: 0.4926, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 0.6113, mean_absolute_error: 0.4936, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9993, 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: 0.8937, f_measure: 0.8364, kappa: 0.6692, kb_relative_information_score: 418.3588, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8367, predictive_accuracy: 0.8362, prior_entropy: 0.9913, recall: 0.8362, relative_absolute_error: 0.4095, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.6895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6067, f_measure: 0.6067, kappa: 0.2166, kb_relative_information_score: 136.3763, mean_absolute_error: 0.3942, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6161, predictive_accuracy: 0.6058, prior_entropy: 0.9913, recall: 0.6058, relative_absolute_error: 0.7981, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6279, root_relative_squared_error: 1.2634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.8194, kappa: 0.6387, kb_relative_information_score: 353.6838, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8275, predictive_accuracy: 0.8188, prior_entropy: 0.9913, recall: 0.8188, relative_absolute_error: 0.5135, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3.1735, mean_absolute_error: 0.4954, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0029, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 10.7773, mean_absolute_error: 0.4877, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9873, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 199.0828, mean_absolute_error: 0.3778, 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: 0.7649, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.7993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.88, kappa: 0.758, kb_relative_information_score: 420.4525, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8816, predictive_accuracy: 0.8797, prior_entropy: 0.9913, recall: 0.8797, relative_absolute_error: 0.4228, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.6301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.7977, mean_absolute_error: 0.4918, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9957, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.476, kappa: 0.0777, kb_relative_information_score: 88.1241, mean_absolute_error: 0.4435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.658, predictive_accuracy: 0.5841, prior_entropy: 0.9913, recall: 0.5841, relative_absolute_error: 0.8978, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4537, root_relative_squared_error: 0.9129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.854, kappa: 0.7086, kb_relative_information_score: 484.4043, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8645, 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: 0.8536, f_measure: 0.8551, kappa: 0.7068, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8552, 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: 0.8601, f_measure: 0.854, kappa: 0.7085, kb_relative_information_score: 484.4043, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8637, 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: 0.7268, f_measure: 0.7322, kappa: 0.4566, kb_relative_information_score: 315.4785, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7324, predictive_accuracy: 0.7333, prior_entropy: 0.9913, recall: 0.7333, relative_absolute_error: 0.5399, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.0391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8099, f_measure: 0.8129, kappa: 0.6209, kb_relative_information_score: 427.4173, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8128, predictive_accuracy: 0.813, prior_entropy: 0.9913, recall: 0.813, relative_absolute_error: 0.3785, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4324, root_relative_squared_error: 0.8701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.762, f_measure: 0.7662, kappa: 0.5259, kb_relative_information_score: 362.2893, mean_absolute_error: 0.2333, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7661, predictive_accuracy: 0.7667, prior_entropy: 0.9913, recall: 0.7667, relative_absolute_error: 0.4724, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.483, root_relative_squared_error: 0.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.8379, kappa: 0.6711, kb_relative_information_score: 466.0871, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8478, predictive_accuracy: 0.8406, prior_entropy: 0.9913, recall: 0.8406, relative_absolute_error: 0.3227, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.8034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7718, f_measure: 0.7741, kappa: 0.5429, kb_relative_information_score: 372.4655, mean_absolute_error: 0.2261, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7742, predictive_accuracy: 0.7739, prior_entropy: 0.9913, recall: 0.7739, relative_absolute_error: 0.4577, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4755, root_relative_squared_error: 0.9568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7861, f_measure: 0.7873, kappa: 0.5702, kb_relative_information_score: 390.7828, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.788, predictive_accuracy: 0.787, prior_entropy: 0.9913, recall: 0.787, relative_absolute_error: 0.4313, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.9288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6325, f_measure: 0.6323, kappa: 0.2793, kb_relative_information_score: 215.7511, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.688, predictive_accuracy: 0.6623, prior_entropy: 0.9913, recall: 0.6623, relative_absolute_error: 0.6836, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5811, root_relative_squared_error: 1.1693,
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: 0.7545, f_measure: 0.7578, kappa: 0.5095, kb_relative_information_score: 350.0777, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7578, predictive_accuracy: 0.758, prior_entropy: 0.9913, recall: 0.758, relative_absolute_error: 0.49, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.492, root_relative_squared_error: 0.99,
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: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
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: 0.8601, f_measure: 0.857, kappa: 0.7126, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8613, 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: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1879, f_measure: 0.1975, kappa: -0.6288, kb_relative_information_score: -431.4588, mean_absolute_error: 0.7986, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.194, predictive_accuracy: 0.2014, prior_entropy: 0.9913, recall: 0.2014, relative_absolute_error: 1.6167, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.8936, root_relative_squared_error: 1.7982,
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: 0.8659, f_measure: 0.8598, kappa: 0.72, kb_relative_information_score: 492.5454, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8696, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.2846, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.7545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, f_measure: 0.8553, kappa: 0.7077, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8561, 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: 0.865, f_measure: 0.8583, kappa: 0.7174, kb_relative_information_score: 490.5101, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8692, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.2875, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.7583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7724, f_measure: 0.7753, kappa: 0.5451, kb_relative_information_score: 374.5008, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7753, predictive_accuracy: 0.7754, prior_entropy: 0.9913, recall: 0.7754, relative_absolute_error: 0.4548, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.474, root_relative_squared_error: 0.9537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.7538, kappa: 0.5022, kb_relative_information_score: 343.972, mean_absolute_error: 0.2464, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7542, predictive_accuracy: 0.7536, prior_entropy: 0.9913, recall: 0.7536, relative_absolute_error: 0.4988, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9988,
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: 0.5033, f_measure: 0.4028, kappa: 0.0072, kb_relative_information_score: 69.213, mean_absolute_error: 0.442, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7539, predictive_accuracy: 0.558, prior_entropy: 0.9913, recall: 0.558, relative_absolute_error: 0.8949, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6649, root_relative_squared_error: 1.3378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5348, f_measure: 0.4652, kappa: 0.0767, kb_relative_information_score: 107.8828, mean_absolute_error: 0.4145, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7274, predictive_accuracy: 0.5855, prior_entropy: 0.9913, recall: 0.5855, relative_absolute_error: 0.8391, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6438, root_relative_squared_error: 1.2955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.7506, kappa: 0.495, kb_relative_information_score: 339.9015, mean_absolute_error: 0.2493, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7506, predictive_accuracy: 0.7507, prior_entropy: 0.9913, recall: 0.7507, relative_absolute_error: 0.5047, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4993, root_relative_squared_error: 1.0047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4954, f_measure: 0.3986, kappa: -0.0101, kb_relative_information_score: 57.0015, mean_absolute_error: 0.4507, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.4181, predictive_accuracy: 0.5493, prior_entropy: 0.9913, recall: 0.5493, relative_absolute_error: 0.9125, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6714, root_relative_squared_error: 1.3509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7584, f_measure: 0.761, kappa: 0.5163, kb_relative_information_score: 354.1482, mean_absolute_error: 0.2391, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7611, predictive_accuracy: 0.7609, prior_entropy: 0.9913, recall: 0.7609, relative_absolute_error: 0.4841, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.489, root_relative_squared_error: 0.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7737, f_measure: 0.7756, kappa: 0.5462, kb_relative_information_score: 374.5008, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.776, predictive_accuracy: 0.7754, prior_entropy: 0.9913, recall: 0.7754, relative_absolute_error: 0.4548, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.474, root_relative_squared_error: 0.9537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7636, f_measure: 0.7655, kappa: 0.5259, kb_relative_information_score: 360.254, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.766, predictive_accuracy: 0.7652, prior_entropy: 0.9913, recall: 0.7652, relative_absolute_error: 0.4753, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4845, root_relative_squared_error: 0.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, f_measure: 0.8684, kappa: 0.7348, kb_relative_information_score: 504.7569, mean_absolute_error: 0.1319, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8704, 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: 0.8636, f_measure: 0.8569, kappa: 0.7146, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8681, 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: 0.8412, f_measure: 0.8409, kappa: 0.6789, kb_relative_information_score: 466.0871, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8421, predictive_accuracy: 0.8406, prior_entropy: 0.9913, recall: 0.8406, relative_absolute_error: 0.3227, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.8034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, f_measure: 0.8511, kappa: 0.7027, kb_relative_information_score: 480.3338, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8608, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.7775,
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: 0.8597, f_measure: 0.854, kappa: 0.7083, kb_relative_information_score: 484.4043, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8631, 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: 0.7571, f_measure: 0.7607, kappa: 0.5151, kb_relative_information_score: 354.1482, mean_absolute_error: 0.2391, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7605, predictive_accuracy: 0.7609, prior_entropy: 0.9913, recall: 0.7609, relative_absolute_error: 0.4841, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.489, root_relative_squared_error: 0.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8579, f_measure: 0.8607, kappa: 0.7176, kb_relative_information_score: 494.5806, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8607, 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: 0.8106, f_measure: 0.813, kappa: 0.6214, kb_relative_information_score: 427.4173, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.813, predictive_accuracy: 0.813, prior_entropy: 0.9913, recall: 0.813, relative_absolute_error: 0.3785, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4324, root_relative_squared_error: 0.8701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, f_measure: 0.8541, kappa: 0.7077, kb_relative_information_score: 484.4043, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8611, 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: 0.5147, f_measure: 0.425, kappa: 0.0324, kb_relative_information_score: 83.4598, mean_absolute_error: 0.4319, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7571, predictive_accuracy: 0.5681, prior_entropy: 0.9913, recall: 0.5681, relative_absolute_error: 0.8743, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6572, root_relative_squared_error: 1.3224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7614, f_measure: 0.7639, kappa: 0.5222, kb_relative_information_score: 358.2188, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.764, predictive_accuracy: 0.7638, prior_entropy: 0.9913, recall: 0.7638, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.486, root_relative_squared_error: 0.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7526, f_measure: 0.7563, kappa: 0.5061, kb_relative_information_score: 348.0425, mean_absolute_error: 0.2435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7561, predictive_accuracy: 0.7565, prior_entropy: 0.9913, recall: 0.7565, relative_absolute_error: 0.4929, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.9929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3017, f_measure: 0.3096, kappa: -0.3955, kb_relative_information_score: -280.8502, mean_absolute_error: 0.6913, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3106, predictive_accuracy: 0.3087, prior_entropy: 0.9913, recall: 0.3087, relative_absolute_error: 1.3995, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.8314, root_relative_squared_error: 1.6731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7636, f_measure: 0.7666, kappa: 0.5274, kb_relative_information_score: 362.2893, mean_absolute_error: 0.2333, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7666, predictive_accuracy: 0.7667, prior_entropy: 0.9913, recall: 0.7667, relative_absolute_error: 0.4724, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.483, root_relative_squared_error: 0.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, f_measure: 0.7755, kappa: 0.5456, kb_relative_information_score: 374.5008, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7756, predictive_accuracy: 0.7754, prior_entropy: 0.9913, recall: 0.7754, relative_absolute_error: 0.4548, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.474, root_relative_squared_error: 0.9537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.183, f_measure: 0.1929, kappa: -0.6374, kb_relative_information_score: -439.5998, mean_absolute_error: 0.8043, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.1904, predictive_accuracy: 0.1957, prior_entropy: 0.9913, recall: 0.1957, relative_absolute_error: 1.6284, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.8969, root_relative_squared_error: 1.8047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.8698, kappa: 0.7373, kb_relative_information_score: 506.7921, mean_absolute_error: 0.1304, 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: 0.2641, 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: 0.7382, f_measure: 0.7408, kappa: 0.4756, kb_relative_information_score: 325.6547, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.741, predictive_accuracy: 0.7406, prior_entropy: 0.9913, recall: 0.7406, relative_absolute_error: 0.5252, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5093, root_relative_squared_error: 1.0249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.8392, kappa: 0.6744, kb_relative_information_score: 464.0518, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8392, predictive_accuracy: 0.8391, prior_entropy: 0.9913, recall: 0.8391, relative_absolute_error: 0.3257, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.8071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1993, f_measure: 0.2089, kappa: -0.601, kb_relative_information_score: -421.2826, mean_absolute_error: 0.7913, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.2092, predictive_accuracy: 0.2087, prior_entropy: 0.9913, recall: 0.2087, relative_absolute_error: 1.602, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.8896, root_relative_squared_error: 1.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.8482, kappa: 0.6967, kb_relative_information_score: 476.2633, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.3081, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.8482, kappa: 0.6967, kb_relative_information_score: 476.2633, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.3081, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.8642, kappa: 0.7279, kb_relative_information_score: 498.6511, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.871, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.2758, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.7427,
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: 0.862, 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: 0.5033, f_measure: 0.4028, kappa: 0.0072, kb_relative_information_score: 69.213, mean_absolute_error: 0.442, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7539, predictive_accuracy: 0.558, prior_entropy: 0.9913, recall: 0.558, relative_absolute_error: 0.8949, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6649, root_relative_squared_error: 1.3378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7949, f_measure: 0.7972, kappa: 0.5895, kb_relative_information_score: 405.0295, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7972, predictive_accuracy: 0.7971, prior_entropy: 0.9913, recall: 0.7971, relative_absolute_error: 0.4108, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.829, kappa: 0.6538, kb_relative_information_score: 449.8051, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.829, 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: 0.8507, f_measure: 0.8496, kappa: 0.6968, kb_relative_information_score: 478.2986, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8514, predictive_accuracy: 0.8493, prior_entropy: 0.9913, recall: 0.8493, relative_absolute_error: 0.3051, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.7812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7568, f_measure: 0.7606, kappa: 0.5148, kb_relative_information_score: 354.1482, mean_absolute_error: 0.2391, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7604, predictive_accuracy: 0.7609, prior_entropy: 0.9913, recall: 0.7609, relative_absolute_error: 0.4841, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.489, root_relative_squared_error: 0.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.858, kappa: 0.7116, kb_relative_information_score: 492.5454, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8628, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.2846, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.7545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7682, f_measure: 0.771, kappa: 0.5364, kb_relative_information_score: 368.395, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.771, predictive_accuracy: 0.771, prior_entropy: 0.9913, recall: 0.771, relative_absolute_error: 0.4636, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4785, root_relative_squared_error: 0.9629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.8306, kappa: 0.6573, kb_relative_information_score: 451.8403, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8308, predictive_accuracy: 0.8304, prior_entropy: 0.9913, recall: 0.8304, relative_absolute_error: 0.3433, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8286,
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,

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

OpenML bootcamp

From your own software

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

OpenML APIs