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: 0.498, 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: 0.5006, 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: 0.8617, f_measure: 0.8539, kappa: 0.7094, kb_relative_information_score: 484.4043, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8676, 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: 0.5, 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: 0.6374, f_measure: 0.6348, kappa: 0.2912, kb_relative_information_score: 225.9274, mean_absolute_error: 0.3304, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7094, predictive_accuracy: 0.6696, prior_entropy: 0.9913, recall: 0.6696, relative_absolute_error: 0.669, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5748, root_relative_squared_error: 1.1567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5134, f_measure: 0.4242, kappa: 0.0295, kb_relative_information_score: 81.4245, mean_absolute_error: 0.4333, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7123, predictive_accuracy: 0.5667, prior_entropy: 0.9913, recall: 0.5667, relative_absolute_error: 0.8773, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6583, root_relative_squared_error: 1.3246,
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: 0.5, 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: 0.8649, f_measure: 0.8568, kappa: 0.7153, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8714, 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: 0.864, f_measure: 0.8627, kappa: 0.7231, kb_relative_information_score: 496.6159, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8646, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.2787, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.7467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.8554, kappa: 0.712, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8678, 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: 0.498, 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: 0.8549, f_measure: 0.8553, kappa: 0.7075, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8558, 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: 0.8448, f_measure: 0.8452, kappa: 0.6872, kb_relative_information_score: 472.1928, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8458, predictive_accuracy: 0.8449, prior_entropy: 0.9913, recall: 0.8449, relative_absolute_error: 0.3139, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.7924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.512, 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: 0.8553, f_measure: 0.859, kappa: 0.714, kb_relative_information_score: 492.5454, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8594, 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: 0.8145, 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: 0.5, 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: 0.6019, f_measure: 0.5878, kappa: 0.2181, kb_relative_information_score: 183.1871, mean_absolute_error: 0.3609, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6875, predictive_accuracy: 0.6391, prior_entropy: 0.9913, recall: 0.6391, relative_absolute_error: 0.7306, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6007, root_relative_squared_error: 1.2088,
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: 0.8543, f_measure: 0.861, kappa: 0.7177, kb_relative_information_score: 496.6159, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8654, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.2787, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.7467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8634, f_measure: 0.8626, kappa: 0.7228, kb_relative_information_score: 496.6159, mean_absolute_error: 0.1377, 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: 0.2787, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.7467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, 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: 0.7966, f_measure: 0.8045, kappa: 0.6032, kb_relative_information_score: 419.2763, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8111, predictive_accuracy: 0.8072, prior_entropy: 0.9913, recall: 0.8072, relative_absolute_error: 0.3902, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.439, root_relative_squared_error: 0.8834,
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: 0.4993, 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: 0.8327, f_measure: 0.8335, kappa: 0.6636, kb_relative_information_score: 455.9108, mean_absolute_error: 0.1667, 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: 0.3374, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8215,
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: 0.5231, f_measure: 0.4425, kappa: 0.0511, kb_relative_information_score: 93.6361, mean_absolute_error: 0.4246, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7317, predictive_accuracy: 0.5754, prior_entropy: 0.9913, recall: 0.5754, relative_absolute_error: 0.8597, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6516, root_relative_squared_error: 1.3113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8583, kappa: 0.7176, kb_relative_information_score: 490.5101, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.87, 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: 0.513, f_measure: 0.4383, kappa: 0.0286, kb_relative_information_score: 77.354, mean_absolute_error: 0.4362, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5856, predictive_accuracy: 0.5638, prior_entropy: 0.9913, recall: 0.5638, relative_absolute_error: 0.8831, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6605, root_relative_squared_error: 1.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.8626, kappa: 0.7224, kb_relative_information_score: 496.6159, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8634, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.2787, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.7467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.8626, kappa: 0.7224, kb_relative_information_score: 496.6159, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8634, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.2787, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.7467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, 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: 0.512, 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: 0.8103, f_measure: 0.8171, kappa: 0.6285, kb_relative_information_score: 435.5583, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8208, predictive_accuracy: 0.8188, prior_entropy: 0.9913, recall: 0.8188, relative_absolute_error: 0.3668, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.8565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6504, f_measure: 0.6505, kappa: 0.3179, kb_relative_information_score: 242.2094, mean_absolute_error: 0.3188, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7197, predictive_accuracy: 0.6812, prior_entropy: 0.9913, recall: 0.6812, relative_absolute_error: 0.6455, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5647, root_relative_squared_error: 1.1362,
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: 0.7165, f_measure: 0.7251, kappa: 0.4505, kb_relative_information_score: 323.6195, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7631, predictive_accuracy: 0.7391, prior_entropy: 0.9913, recall: 0.7391, relative_absolute_error: 0.5281, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5108, root_relative_squared_error: 1.0278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5026, f_measure: 0.4159, kappa: 0.0057, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5313, 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: 0.5967, f_measure: 0.5802, kappa: 0.2073, kb_relative_information_score: 177.0814, mean_absolute_error: 0.3652, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6851, predictive_accuracy: 0.6348, prior_entropy: 0.9913, recall: 0.6348, relative_absolute_error: 0.7394, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6043, root_relative_squared_error: 1.2161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.8307, kappa: 0.6577, kb_relative_information_score: 451.8403, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8312, 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: 0.834, f_measure: 0.835, kappa: 0.6664, kb_relative_information_score: 457.9461, mean_absolute_error: 0.1652, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8354, predictive_accuracy: 0.8348, prior_entropy: 0.9913, recall: 0.8348, relative_absolute_error: 0.3345, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.8179,
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: 0.8119, f_measure: 0.8166, kappa: 0.6279, kb_relative_information_score: 433.5231, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8173, predictive_accuracy: 0.8174, prior_entropy: 0.9913, recall: 0.8174, relative_absolute_error: 0.3697, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.8599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, f_measure: 0.4064, kappa: 0.0029, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5309, 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: 0.5107, 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: 0.8112, f_measure: 0.8131, kappa: 0.6219, kb_relative_information_score: 427.4173, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8132, 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: 0.5, 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: 0.8649, f_measure: 0.8568, kappa: 0.7153, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8714, 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: 0.7872, f_measure: 0.7961, kappa: 0.5865, kb_relative_information_score: 409.1, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8068, predictive_accuracy: 0.8, prior_entropy: 0.9913, recall: 0.8, relative_absolute_error: 0.4049, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8999,
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: 0.5097, f_measure: 0.4324, kappa: 0.0215, kb_relative_information_score: 73.2835, mean_absolute_error: 0.4391, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5704, predictive_accuracy: 0.5609, prior_entropy: 0.9913, recall: 0.5609, relative_absolute_error: 0.889, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6627, root_relative_squared_error: 1.3335,
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: 0.7481, f_measure: 0.7579, kappa: 0.5123, kb_relative_information_score: 362.2893, mean_absolute_error: 0.2333, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.783, 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: 0.8419, f_measure: 0.8423, kappa: 0.6813, kb_relative_information_score: 468.1223, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8429, predictive_accuracy: 0.842, prior_entropy: 0.9913, recall: 0.842, relative_absolute_error: 0.3198, 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: 0.8178, f_measure: 0.8202, kappa: 0.6359, kb_relative_information_score: 437.5936, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8202, 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: 0.6905, f_measure: 0.6969, kappa: 0.3985, kb_relative_information_score: 291.0555, mean_absolute_error: 0.2841, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7444, predictive_accuracy: 0.7159, prior_entropy: 0.9913, recall: 0.7159, relative_absolute_error: 0.5751, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.533, root_relative_squared_error: 1.0725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.8623, kappa: 0.7212, kb_relative_information_score: 496.6159, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8623, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.2787, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.7467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, 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: 0.5, 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: 0.8594, f_measure: 0.8569, kappa: 0.7122, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8604, 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: 0.8663, f_measure: 0.8598, kappa: 0.7202, kb_relative_information_score: 492.5454, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8703, 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: 0.5, 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: 0.8112, f_measure: 0.8131, kappa: 0.6219, kb_relative_information_score: 427.4173, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8132, 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: 0.5, 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: 0.5042, f_measure: 0.4189, kappa: 0.0093, kb_relative_information_score: 67.1778, mean_absolute_error: 0.4435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5448, predictive_accuracy: 0.5565, prior_entropy: 0.9913, recall: 0.5565, relative_absolute_error: 0.8978, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6659, root_relative_squared_error: 1.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.8379, kappa: 0.6726, kb_relative_information_score: 462.0166, mean_absolute_error: 0.1623, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8387, predictive_accuracy: 0.8377, prior_entropy: 0.9913, recall: 0.8377, relative_absolute_error: 0.3286, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.8107,
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: 0.8194, f_measure: 0.8205, kappa: 0.6371, kb_relative_information_score: 437.5936, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8209, 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: 0.5, 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: 0.6886, f_measure: 0.6892, kappa: 0.401, kb_relative_information_score: 299.1965, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8015, predictive_accuracy: 0.7217, prior_entropy: 0.9913, recall: 0.7217, relative_absolute_error: 0.5633, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5275, root_relative_squared_error: 1.0615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5736, f_measure: 0.5433, kappa: 0.1591, kb_relative_information_score: 150.6231, mean_absolute_error: 0.3841, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6794, predictive_accuracy: 0.6159, prior_entropy: 0.9913, recall: 0.6159, relative_absolute_error: 0.7775, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6197, root_relative_squared_error: 1.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7817, f_measure: 0.791, kappa: 0.5766, kb_relative_information_score: 402.9943, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8044, predictive_accuracy: 0.7957, prior_entropy: 0.9913, recall: 0.7957, relative_absolute_error: 0.4137, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.452, root_relative_squared_error: 0.9096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.8429, kappa: 0.6818, kb_relative_information_score: 142.9522, mean_absolute_error: 0.4149, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8584, predictive_accuracy: 0.8464, prior_entropy: 0.9913, recall: 0.8464, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8518,
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: 0.9328, f_measure: 0.8727, kappa: 0.743, kb_relative_information_score: 443.1952, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8737, predictive_accuracy: 0.8725, prior_entropy: 0.9913, recall: 0.8725, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.6189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.8596, kappa: 0.716, kb_relative_information_score: 443.0199, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8599, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.3724, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.8684, kappa: 0.7343, kb_relative_information_score: 444.8352, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8694, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.3759, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3079, root_relative_squared_error: 0.6195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8669, kappa: 0.7309, kb_relative_information_score: 433.4131, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8674, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.3961, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3108, root_relative_squared_error: 0.6254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.8626, kappa: 0.7226, kb_relative_information_score: 427.613, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8637, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.4064, 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: 0.9315, f_measure: 0.864, kappa: 0.7254, kb_relative_information_score: 383.7861, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.865, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.4831, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.6416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.8537, kappa: 0.7041, kb_relative_information_score: 484.4043, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8539, 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, usercpu_time_millis: 0.15, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8611, kappa: 0.7192, kb_relative_information_score: 430.3116, mean_absolute_error: 0.1969, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8616, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.3986, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.6385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8054, f_measure: 0.8073, kappa: 0.6101, kb_relative_information_score: 419.2763, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8075, predictive_accuracy: 0.8072, prior_entropy: 0.9913, recall: 0.8072, relative_absolute_error: 0.3902, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.439, root_relative_squared_error: 0.8834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8142, f_measure: 0.816, kappa: 0.6277, kb_relative_information_score: 431.4878, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8161, predictive_accuracy: 0.8159, prior_entropy: 0.9913, recall: 0.8159, relative_absolute_error: 0.3726, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8154, f_measure: 0.8149, kappa: 0.6268, kb_relative_information_score: 429.4526, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8167, predictive_accuracy: 0.8145, prior_entropy: 0.9913, recall: 0.8145, relative_absolute_error: 0.3756, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.8667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, f_measure: 0.8174, kappa: 0.6303, kb_relative_information_score: 433.5231, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8174, predictive_accuracy: 0.8174, prior_entropy: 0.9913, recall: 0.8174, relative_absolute_error: 0.3697, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.8599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.8104, kappa: 0.6167, kb_relative_information_score: 423.3468, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8109, predictive_accuracy: 0.8101, prior_entropy: 0.9913, recall: 0.8101, relative_absolute_error: 0.3844, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.8768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8177, f_measure: 0.819, kappa: 0.6341, kb_relative_information_score: 435.5583, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8194, predictive_accuracy: 0.8188, prior_entropy: 0.9913, recall: 0.8188, relative_absolute_error: 0.3668, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.8565,
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: 0.8151, f_measure: 0.8162, kappa: 0.6284, kb_relative_information_score: 431.4878, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8167, predictive_accuracy: 0.8159, prior_entropy: 0.9913, recall: 0.8159, relative_absolute_error: 0.3726, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8633,

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