OpenML
Supervised Classification on Australian

Supervised Classification on Australian

Task 146818 Supervised Classification Australian 4202 runs submitted
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4202 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.4014, kappa: 0.0014, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5307, 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: 0.5, 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: 0.9248, f_measure: 0.8682, kappa: 0.7334, kb_relative_information_score: 442.6987, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8684, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.3776, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.6415,
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: 0.9298, f_measure: 0.874, kappa: 0.7453, kb_relative_information_score: 446.1756, mean_absolute_error: 0.1849, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8744, predictive_accuracy: 0.8739, prior_entropy: 0.9913, recall: 0.8739, relative_absolute_error: 0.3743, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.6284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.8611, kappa: 0.7196, kb_relative_information_score: 405.2567, mean_absolute_error: 0.2202, 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: 0.4457, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3147, root_relative_squared_error: 0.6332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5039, f_measure: 0.4078, kappa: 0.0086, kb_relative_information_score: 69.213, mean_absolute_error: 0.442, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6058, 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: 0.8503, f_measure: 0.8509, kappa: 0.6987, kb_relative_information_score: 480.3338, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8514, 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: 0.9268, f_measure: 0.8682, kappa: 0.7333, kb_relative_information_score: 443.0131, mean_absolute_error: 0.1869, 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: 0.3784, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.316, root_relative_squared_error: 0.6358,
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 - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.8089, kappa: 0.6134, kb_relative_information_score: 421.3115, mean_absolute_error: 0.1913, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8092, predictive_accuracy: 0.8087, prior_entropy: 0.9913, recall: 0.8087, relative_absolute_error: 0.3873, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.8801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.8612, kappa: 0.7205, kb_relative_information_score: 407.4637, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8637, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.4418, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3145, root_relative_squared_error: 0.6329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8666, kappa: 0.7297, kb_relative_information_score: 441.57, mean_absolute_error: 0.1876, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8665, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.3798, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3182, root_relative_squared_error: 0.6403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5019, f_measure: 0.4112, kappa: 0.0043, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5311, 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: 0.8662, f_measure: 0.8582, kappa: 0.7181, kb_relative_information_score: 490.5101, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8724, 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: 0.9341, f_measure: 0.8755, kappa: 0.7483, kb_relative_information_score: 432.616, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8759, predictive_accuracy: 0.8754, prior_entropy: 0.9913, recall: 0.8754, relative_absolute_error: 0.3995, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3081, root_relative_squared_error: 0.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.4014, kappa: 0.0014, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5307, 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: 0.8555, f_measure: 0.8497, kappa: 0.6997, kb_relative_information_score: 478.2986, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.859, 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: 0.9332, f_measure: 0.8655, kappa: 0.7286, kb_relative_information_score: 405.924, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8668, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.4454, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3137, root_relative_squared_error: 0.6312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8695, kappa: 0.7356, kb_relative_information_score: 439.8104, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8694, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.3801, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.6523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.8709, kappa: 0.7386, kb_relative_information_score: 440.2685, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8709, predictive_accuracy: 0.871, prior_entropy: 0.9913, recall: 0.871, relative_absolute_error: 0.3824, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3159, root_relative_squared_error: 0.6356,
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: 0.9317, f_measure: 0.8598, kappa: 0.7173, kb_relative_information_score: 415.9801, mean_absolute_error: 0.2107, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8617, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.4266, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3139, root_relative_squared_error: 0.6317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8035, f_measure: 0.8108, kappa: 0.6159, kb_relative_information_score: 427.4173, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8158, 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: 0.8581, f_measure: 0.8541, kappa: 0.7073, kb_relative_information_score: 484.4043, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.86, 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: 0.9361, f_measure: 0.8712, kappa: 0.7396, kb_relative_information_score: 440.3647, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8716, predictive_accuracy: 0.871, prior_entropy: 0.9913, recall: 0.871, relative_absolute_error: 0.3856, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3056, root_relative_squared_error: 0.6148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, f_measure: 0.8568, kappa: 0.7107, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8576, 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: 0.9329, f_measure: 0.8755, kappa: 0.7482, kb_relative_information_score: 432.8429, mean_absolute_error: 0.1968, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8757, predictive_accuracy: 0.8754, prior_entropy: 0.9913, recall: 0.8754, relative_absolute_error: 0.3985, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3096, root_relative_squared_error: 0.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.8577, kappa: 0.711, kb_relative_information_score: 224.4234, mean_absolute_error: 0.3613, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8643, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.7314, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.382, root_relative_squared_error: 0.7687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, f_measure: 0.8493, kappa: 0.695, kb_relative_information_score: 447.1234, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8494, predictive_accuracy: 0.8493, prior_entropy: 0.9913, recall: 0.8493, relative_absolute_error: 0.3591, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3501, root_relative_squared_error: 0.7044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.8654, kappa: 0.7281, kb_relative_information_score: 433.0604, mean_absolute_error: 0.1979, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8661, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.4006, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3055, root_relative_squared_error: 0.6147,
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: 0.5, 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: 0.498, f_measure: 0.4, kappa: -0.0044, kb_relative_information_score: 61.072, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.4559, predictive_accuracy: 0.5522, prior_entropy: 0.9913, recall: 0.5522, relative_absolute_error: 0.9066, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6692, root_relative_squared_error: 1.3466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.8683, kappa: 0.7338, kb_relative_information_score: 433.6999, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8687, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.3963, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, f_measure: 0.8755, kappa: 0.7483, kb_relative_information_score: 434.1977, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8759, predictive_accuracy: 0.8754, prior_entropy: 0.9913, recall: 0.8754, relative_absolute_error: 0.3967, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.307, root_relative_squared_error: 0.6178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.8334, kappa: 0.6629, kb_relative_information_score: 131.4463, mean_absolute_error: 0.4219, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8526, predictive_accuracy: 0.8377, prior_entropy: 0.9913, recall: 0.8377, relative_absolute_error: 0.854, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.8642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.874, kappa: 0.7451, kb_relative_information_score: 431.3826, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8742, predictive_accuracy: 0.8739, prior_entropy: 0.9913, recall: 0.8739, relative_absolute_error: 0.4003, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.6271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8724, kappa: 0.7415, kb_relative_information_score: 442.0449, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8723, predictive_accuracy: 0.8725, prior_entropy: 0.9913, recall: 0.8725, relative_absolute_error: 0.3781, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.6425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7361, f_measure: 0.7442, kappa: 0.4969, kb_relative_information_score: 358.2188, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8219, 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: 0.9315, f_measure: 0.8712, kappa: 0.7398, kb_relative_information_score: 436.2976, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8718, predictive_accuracy: 0.871, prior_entropy: 0.9913, recall: 0.871, relative_absolute_error: 0.3905, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3101, root_relative_squared_error: 0.6239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8712, kappa: 0.7398, kb_relative_information_score: 435.4128, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8718, predictive_accuracy: 0.871, prior_entropy: 0.9913, recall: 0.871, relative_absolute_error: 0.3924, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.6243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.4007, kappa: -0.0015, kb_relative_information_score: 63.1073, mean_absolute_error: 0.4464, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.4859, predictive_accuracy: 0.5536, prior_entropy: 0.9913, recall: 0.5536, relative_absolute_error: 0.9037, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6681, root_relative_squared_error: 1.3444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6052, f_measure: 0.586, kappa: 0.2264, kb_relative_information_score: 191.3281, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7204, predictive_accuracy: 0.6449, prior_entropy: 0.9913, recall: 0.6449, relative_absolute_error: 0.7188, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5959, root_relative_squared_error: 1.1991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.854, kappa: 0.709, kb_relative_information_score: 484.4043, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.866, 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: 0.8259, f_measure: 0.8299, kappa: 0.655, kb_relative_information_score: 451.8403, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8302, 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: 0.8565, f_measure: 0.8567, kappa: 0.7105, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8574, 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: 0.5058, f_measure: 0.422, kappa: 0.0129, kb_relative_information_score: 69.213, mean_absolute_error: 0.442, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5569, 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: 0.9283, f_measure: 0.8682, kappa: 0.7333, kb_relative_information_score: 429.0801, mean_absolute_error: 0.1994, 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: 0.4037, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.6299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.864, kappa: 0.7256, kb_relative_information_score: 383.4516, mean_absolute_error: 0.2386, 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: 0.483, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3196, root_relative_squared_error: 0.6431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.8541, kappa: 0.7066, kb_relative_information_score: 484.4043, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8579, 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: 0.8614, f_measure: 0.8555, kappa: 0.7113, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8649, 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: 0.9363, f_measure: 0.8799, kappa: 0.7572, kb_relative_information_score: 444.6554, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8803, predictive_accuracy: 0.8797, prior_entropy: 0.9913, recall: 0.8797, relative_absolute_error: 0.3783, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3059, root_relative_squared_error: 0.6155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, f_measure: 0.7974, kappa: 0.5908, kb_relative_information_score: 405.0295, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7982, 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: 0.5107, f_measure: 0.431, kappa: 0.0236, kb_relative_information_score: 75.3188, mean_absolute_error: 0.4377, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5866, predictive_accuracy: 0.5623, prior_entropy: 0.9913, recall: 0.5623, relative_absolute_error: 0.8861, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6616, root_relative_squared_error: 1.3312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.874, kappa: 0.7453, kb_relative_information_score: 427.2684, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8744, predictive_accuracy: 0.8739, prior_entropy: 0.9913, recall: 0.8739, relative_absolute_error: 0.4075, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.6274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8145, f_measure: 0.8195, kappa: 0.6336, kb_relative_information_score: 437.5936, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8203, predictive_accuracy: 0.8203, prior_entropy: 0.9913, recall: 0.8203, relative_absolute_error: 0.3638, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.8594, kappa: 0.7155, kb_relative_information_score: 350.0942, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8595, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.5408, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.6589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.4007, kappa: -0.0015, kb_relative_information_score: 63.1073, mean_absolute_error: 0.4464, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.4859, predictive_accuracy: 0.5536, prior_entropy: 0.9913, recall: 0.5536, relative_absolute_error: 0.9037, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6681, root_relative_squared_error: 1.3444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.8698, kappa: 0.7373, kb_relative_information_score: 445.6859, mean_absolute_error: 0.1849, 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: 0.3744, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.309, root_relative_squared_error: 0.6219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.8681, kappa: 0.7331, kb_relative_information_score: 437.1881, mean_absolute_error: 0.1917, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8682, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.3881, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.6374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.8033, kappa: 0.6006, kb_relative_information_score: 417.241, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8089, predictive_accuracy: 0.8058, prior_entropy: 0.9913, recall: 0.8058, relative_absolute_error: 0.3932, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.8868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5368, f_measure: 0.4831, kappa: 0.0803, kb_relative_information_score: 105.8476, mean_absolute_error: 0.4159, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6381, predictive_accuracy: 0.5841, prior_entropy: 0.9913, recall: 0.5841, relative_absolute_error: 0.8421, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6449, root_relative_squared_error: 1.2978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5332, f_measure: 0.476, kappa: 0.0726, kb_relative_information_score: 101.7771, mean_absolute_error: 0.4188, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6356, predictive_accuracy: 0.5812, prior_entropy: 0.9913, recall: 0.5812, relative_absolute_error: 0.8479, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6472, root_relative_squared_error: 1.3023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.874, kappa: 0.7453, kb_relative_information_score: 440.8638, mean_absolute_error: 0.1894, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8744, predictive_accuracy: 0.8739, prior_entropy: 0.9913, recall: 0.8739, relative_absolute_error: 0.3834, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3089, root_relative_squared_error: 0.6217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.8741, kappa: 0.7455, kb_relative_information_score: 437.155, mean_absolute_error: 0.1928, 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: 0.3903, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3089, root_relative_squared_error: 0.6217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.8624, kappa: 0.7215, kb_relative_information_score: 441.4065, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8625, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3748, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3361, root_relative_squared_error: 0.6763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.8667, kappa: 0.7301, kb_relative_information_score: 441.8633, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8667, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.3786, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.8568, kappa: 0.7148, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8689, 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: 0.9245, f_measure: 0.8681, kappa: 0.7329, kb_relative_information_score: 439.028, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8681, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.3843, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.6388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.8639, kappa: 0.7247, kb_relative_information_score: 423.529, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8641, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.4154, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.6213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.3956, kappa: -0.0029, kb_relative_information_score: 63.1073, mean_absolute_error: 0.4464, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3077, predictive_accuracy: 0.5536, prior_entropy: 0.9913, recall: 0.5536, relative_absolute_error: 0.9037, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6681, root_relative_squared_error: 1.3444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.8726, kappa: 0.7425, kb_relative_information_score: 441.1628, mean_absolute_error: 0.1888, 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: 0.3822, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.309, root_relative_squared_error: 0.6217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.8014, kappa: 0.597, kb_relative_information_score: 415.2058, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8085, predictive_accuracy: 0.8043, prior_entropy: 0.9913, recall: 0.8043, relative_absolute_error: 0.3961, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.8901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8651, kappa: 0.7265, kb_relative_information_score: 437.8156, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8651, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.3856, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.318, root_relative_squared_error: 0.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8099, f_measure: 0.8117, kappa: 0.6191, kb_relative_information_score: 425.3821, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8119, predictive_accuracy: 0.8116, prior_entropy: 0.9913, recall: 0.8116, relative_absolute_error: 0.3814, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.8734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8784, kappa: 0.754, kb_relative_information_score: 441.0717, mean_absolute_error: 0.1893, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8786, predictive_accuracy: 0.8783, prior_entropy: 0.9913, recall: 0.8783, relative_absolute_error: 0.3833, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.6203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5589, f_measure: 0.5214, kappa: 0.1278, kb_relative_information_score: 132.3058, mean_absolute_error: 0.3971, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6613, predictive_accuracy: 0.6029, prior_entropy: 0.9913, recall: 0.6029, relative_absolute_error: 0.8039, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6302, root_relative_squared_error: 1.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.8494, kappa: 0.6956, kb_relative_information_score: 478.2986, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8499, 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: 0.9284, f_measure: 0.8696, kappa: 0.7361, kb_relative_information_score: 436.0663, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8697, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.3909, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3139, root_relative_squared_error: 0.6317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.512, f_measure: 0.4395, kappa: 0.0264, kb_relative_information_score: 75.3188, mean_absolute_error: 0.4377, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5724, predictive_accuracy: 0.5623, prior_entropy: 0.9913, recall: 0.5623, relative_absolute_error: 0.8861, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6616, root_relative_squared_error: 1.3312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.8524, kappa: 0.7017, kb_relative_information_score: 447.8802, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8529, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.3623, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.6777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.8526, kappa: 0.7053, kb_relative_information_score: 482.3691, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8613, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.2993, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.7737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, f_measure: 0.7967, kappa: 0.5879, kb_relative_information_score: 405.0295, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7967, 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: 0.9233, f_measure: 0.8664, kappa: 0.7292, kb_relative_information_score: 292.6222, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8665, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.6317, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.7051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.8493, kappa: 0.6948, kb_relative_information_score: 435.8209, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8493, predictive_accuracy: 0.8493, prior_entropy: 0.9913, recall: 0.8493, relative_absolute_error: 0.3818, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.6853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.8698, kappa: 0.7369, kb_relative_information_score: 425.3835, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8705, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.4104, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3117, root_relative_squared_error: 0.6272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8667, kappa: 0.7301, kb_relative_information_score: 440.606, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8667, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.3813, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.6425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.8421, kappa: 0.6807, kb_relative_information_score: 468.1223, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8424, predictive_accuracy: 0.842, prior_entropy: 0.9913, recall: 0.842, relative_absolute_error: 0.3198, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.7998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, f_measure: 0.8608, kappa: 0.718, kb_relative_information_score: 318.4755, mean_absolute_error: 0.2923, 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: 0.5919, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.6824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6557, f_measure: 0.6477, kappa: 0.3336, kb_relative_information_score: 258.4914, mean_absolute_error: 0.3072, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7898, predictive_accuracy: 0.6928, prior_entropy: 0.9913, recall: 0.6928, relative_absolute_error: 0.622, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5543, root_relative_squared_error: 1.1154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8624, kappa: 0.7215, kb_relative_information_score: 439.9314, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8625, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3785, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.6631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8712, kappa: 0.7396, kb_relative_information_score: 437.0701, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8716, predictive_accuracy: 0.871, prior_entropy: 0.9913, recall: 0.871, relative_absolute_error: 0.389, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3104, root_relative_squared_error: 0.6246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7871, f_measure: 0.7874, kappa: 0.571, kb_relative_information_score: 390.7828, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7888, 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: 0.9321, f_measure: 0.8683, kappa: 0.7341, kb_relative_information_score: 428.4139, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8692, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.4055, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3105, root_relative_squared_error: 0.6249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.8494, kappa: 0.6952, kb_relative_information_score: 447.2242, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8495, predictive_accuracy: 0.8493, prior_entropy: 0.9913, recall: 0.8493, relative_absolute_error: 0.3637, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.4014, kappa: 0.0014, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5307, 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: 0.9239, f_measure: 0.8639, kappa: 0.7249, kb_relative_information_score: 438.6778, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8643, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.3845, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.6393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.8667, kappa: 0.7301, kb_relative_information_score: 436.5166, mean_absolute_error: 0.1924, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8667, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.3896, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.6334,

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