Task
Supervised Classification on vowel

Supervised Classification on vowel

Task 3022 Supervised Classification vowel 16275 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_50 study_7 study_98 study_99 under100k under1m
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16275 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, f_measure: 0.5238, kappa: 0.49, kb_relative_information_score: 426.2655, mean_absolute_error: 0.1294, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5264, predictive_accuracy: 0.5364, prior_entropy: 3.4594, recall: 0.5364, relative_absolute_error: 0.7828, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.6836, kappa: 0.6533, kb_relative_information_score: 713.4988, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6836, predictive_accuracy: 0.6848, prior_entropy: 3.4594, recall: 0.6848, relative_absolute_error: 0.3821, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1998, root_relative_squared_error: 0.6951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.6052, kappa: 0.57, kb_relative_information_score: 619.3724, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6082, predictive_accuracy: 0.6091, prior_entropy: 3.4594, recall: 0.6091, relative_absolute_error: 0.5067, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.6339, kappa: 0.5989, kb_relative_information_score: 640.22, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.634, predictive_accuracy: 0.6354, prior_entropy: 3.4594, recall: 0.6354, relative_absolute_error: 0.4783, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.213, root_relative_squared_error: 0.7409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.6855, kappa: 0.6556, kb_relative_information_score: 712.617, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6858, predictive_accuracy: 0.6869, prior_entropy: 3.4594, recall: 0.6869, relative_absolute_error: 0.3864, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1998, root_relative_squared_error: 0.6949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.6382, kappa: 0.6011, kb_relative_information_score: 647.3803, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.642, predictive_accuracy: 0.6374, prior_entropy: 3.4594, recall: 0.6374, relative_absolute_error: 0.4631, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.7361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9269, f_measure: 0.7272, kappa: 0.7, kb_relative_information_score: 749.3386, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7283, predictive_accuracy: 0.7273, prior_entropy: 3.4594, recall: 0.7273, relative_absolute_error: 0.3265, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.6626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.695, kappa: 0.6644, kb_relative_information_score: 725.5897, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6978, predictive_accuracy: 0.6949, prior_entropy: 3.4594, recall: 0.6949, relative_absolute_error: 0.3597, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.6812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.649, kappa: 0.6156, kb_relative_information_score: 660.3506, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6521, predictive_accuracy: 0.6505, prior_entropy: 3.4594, recall: 0.6505, relative_absolute_error: 0.4622, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.7389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.6485, kappa: 0.6144, kb_relative_information_score: 669.3277, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6514, predictive_accuracy: 0.6495, prior_entropy: 3.4594, recall: 0.6495, relative_absolute_error: 0.4419, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.7246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.7373, kappa: 0.7111, kb_relative_information_score: 742.86, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7399, predictive_accuracy: 0.7374, prior_entropy: 3.4594, recall: 0.7374, relative_absolute_error: 0.3262, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.6682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.6194, kappa: 0.5822, kb_relative_information_score: 641.6489, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.622, predictive_accuracy: 0.6202, prior_entropy: 3.4594, recall: 0.6202, relative_absolute_error: 0.4849, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.6425, kappa: 0.6067, kb_relative_information_score: 653.4341, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.646, predictive_accuracy: 0.6424, prior_entropy: 3.4594, recall: 0.6424, relative_absolute_error: 0.4577, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.7344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.6954, kappa: 0.6667, kb_relative_information_score: 721.8419, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6953, predictive_accuracy: 0.697, prior_entropy: 3.4594, recall: 0.697, relative_absolute_error: 0.368, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.6896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.6392, kappa: 0.6022, kb_relative_information_score: 649.8109, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6437, predictive_accuracy: 0.6384, prior_entropy: 3.4594, recall: 0.6384, relative_absolute_error: 0.4619, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.7397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.6909, kappa: 0.6622, kb_relative_information_score: 711.5824, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6913, predictive_accuracy: 0.6929, prior_entropy: 3.4594, recall: 0.6929, relative_absolute_error: 0.3819, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.6986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.6398, kappa: 0.6033, kb_relative_information_score: 645.2567, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6432, predictive_accuracy: 0.6394, prior_entropy: 3.4594, recall: 0.6394, relative_absolute_error: 0.465, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.7381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.6372, kappa: 0.6, kb_relative_information_score: 650.2195, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6416, predictive_accuracy: 0.6364, prior_entropy: 3.4594, recall: 0.6364, relative_absolute_error: 0.4631, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8176, kappa: 0.8, kb_relative_information_score: 812.1988, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8185, predictive_accuracy: 0.8182, prior_entropy: 3.4594, recall: 0.8182, relative_absolute_error: 0.1944, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1762, root_relative_squared_error: 0.6128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.734, kappa: 0.7067, kb_relative_information_score: 746.2411, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7372, predictive_accuracy: 0.7333, prior_entropy: 3.4594, recall: 0.7333, relative_absolute_error: 0.3292, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1894, root_relative_squared_error: 0.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.6513, kappa: 0.6156, kb_relative_information_score: 675.7459, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6572, predictive_accuracy: 0.6505, prior_entropy: 3.4594, recall: 0.6505, relative_absolute_error: 0.4298, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.7191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.6355, kappa: 0.5978, kb_relative_information_score: 645.1459, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6393, predictive_accuracy: 0.6343, prior_entropy: 3.4594, recall: 0.6343, relative_absolute_error: 0.466, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.212, root_relative_squared_error: 0.7376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.7564, kappa: 0.7322, kb_relative_information_score: 754.5721, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7582, predictive_accuracy: 0.7566, prior_entropy: 3.4594, recall: 0.7566, relative_absolute_error: 0.3012, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.615, kappa: 0.5778, kb_relative_information_score: 636.4208, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6206, predictive_accuracy: 0.6162, prior_entropy: 3.4594, recall: 0.6162, relative_absolute_error: 0.4945, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9269, f_measure: 0.6052, kappa: 0.57, kb_relative_information_score: 618.9947, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6082, predictive_accuracy: 0.6091, prior_entropy: 3.4594, recall: 0.6091, relative_absolute_error: 0.5071, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.7591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.7421, kappa: 0.7144, kb_relative_information_score: 755.3326, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7479, predictive_accuracy: 0.7404, prior_entropy: 3.4594, recall: 0.7404, relative_absolute_error: 0.313, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.6508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9269, f_measure: 0.6522, kappa: 0.6189, kb_relative_information_score: 663.3912, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6554, predictive_accuracy: 0.6535, prior_entropy: 3.4594, recall: 0.6535, relative_absolute_error: 0.4567, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.7352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.7469, kappa: 0.72, kb_relative_information_score: 762.8329, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7516, predictive_accuracy: 0.7455, prior_entropy: 3.4594, recall: 0.7455, relative_absolute_error: 0.3028, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.186, root_relative_squared_error: 0.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9193, f_measure: 0.7577, kappa: 0.7333, kb_relative_information_score: 764.2419, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7593, predictive_accuracy: 0.7576, prior_entropy: 3.4594, recall: 0.7576, relative_absolute_error: 0.2932, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.6533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.609, kappa: 0.5722, kb_relative_information_score: 629.0808, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6157, predictive_accuracy: 0.6111, prior_entropy: 3.4594, recall: 0.6111, relative_absolute_error: 0.5037, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.219, root_relative_squared_error: 0.7618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.6258, kappa: 0.5933, kb_relative_information_score: 632.0669, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6277, predictive_accuracy: 0.6303, prior_entropy: 3.4594, recall: 0.6303, relative_absolute_error: 0.4923, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.7435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.6564, kappa: 0.6233, kb_relative_information_score: 679.2282, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.657, predictive_accuracy: 0.6576, prior_entropy: 3.4594, recall: 0.6576, relative_absolute_error: 0.4282, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.7255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.6333, kappa: 0.5967, kb_relative_information_score: 644.0695, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.636, predictive_accuracy: 0.6333, prior_entropy: 3.4594, recall: 0.6333, relative_absolute_error: 0.4725, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.6393, kappa: 0.6056, kb_relative_information_score: 639.2047, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6393, predictive_accuracy: 0.6414, prior_entropy: 3.4594, recall: 0.6414, relative_absolute_error: 0.4803, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.7416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.6197, kappa: 0.5822, kb_relative_information_score: 642.1188, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6225, predictive_accuracy: 0.6202, prior_entropy: 3.4594, recall: 0.6202, relative_absolute_error: 0.484, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.217, root_relative_squared_error: 0.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.8023, kappa: 0.7833, kb_relative_information_score: 793.8195, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8038, predictive_accuracy: 0.803, prior_entropy: 3.4594, recall: 0.803, relative_absolute_error: 0.2352, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.6242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.6463, kappa: 0.6111, kb_relative_information_score: 662.1255, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6494, predictive_accuracy: 0.6465, prior_entropy: 3.4594, recall: 0.6465, relative_absolute_error: 0.4524, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.7289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.7111, kappa: 0.6822, kb_relative_information_score: 729.0232, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7167, predictive_accuracy: 0.7111, prior_entropy: 3.4594, recall: 0.7111, relative_absolute_error: 0.3508, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.6763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8025, kappa: 0.7833, kb_relative_information_score: 806.9606, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.805, predictive_accuracy: 0.803, prior_entropy: 3.4594, recall: 0.803, relative_absolute_error: 0.2137, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.6149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.6016, kappa: 0.5656, kb_relative_information_score: 615.6644, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.604, predictive_accuracy: 0.6051, prior_entropy: 3.4594, recall: 0.6051, relative_absolute_error: 0.5111, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.615, kappa: 0.5778, kb_relative_information_score: 638.3389, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6206, predictive_accuracy: 0.6162, prior_entropy: 3.4594, recall: 0.6162, relative_absolute_error: 0.4907, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.7563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.6867, kappa: 0.6556, kb_relative_information_score: 710.9923, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6889, predictive_accuracy: 0.6869, prior_entropy: 3.4594, recall: 0.6869, relative_absolute_error: 0.3822, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.6946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.6466, kappa: 0.6122, kb_relative_information_score: 669.4976, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6497, predictive_accuracy: 0.6475, prior_entropy: 3.4594, recall: 0.6475, relative_absolute_error: 0.443, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.7247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.5991, kappa: 0.5622, kb_relative_information_score: 619.8543, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6041, predictive_accuracy: 0.602, prior_entropy: 3.4594, recall: 0.602, relative_absolute_error: 0.5163, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.7667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.7671, kappa: 0.7433, kb_relative_information_score: 779.5337, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7699, predictive_accuracy: 0.7667, prior_entropy: 3.4594, recall: 0.7667, relative_absolute_error: 0.2778, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.7866, kappa: 0.7656, kb_relative_information_score: 801.3802, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7882, predictive_accuracy: 0.7869, prior_entropy: 3.4594, recall: 0.7869, relative_absolute_error: 0.244, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.6083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.6353, kappa: 0.5989, kb_relative_information_score: 647.3547, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6379, predictive_accuracy: 0.6354, prior_entropy: 3.4594, recall: 0.6354, relative_absolute_error: 0.468, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.7333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.7347, kappa: 0.7078, kb_relative_information_score: 748.4593, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7401, predictive_accuracy: 0.7343, prior_entropy: 3.4594, recall: 0.7343, relative_absolute_error: 0.3147, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.6651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.6468, kappa: 0.6122, kb_relative_information_score: 669.4734, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6495, predictive_accuracy: 0.6475, prior_entropy: 3.4594, recall: 0.6475, relative_absolute_error: 0.4433, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.7262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.6378, kappa: 0.6044, kb_relative_information_score: 654.2161, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6391, predictive_accuracy: 0.6404, prior_entropy: 3.4594, recall: 0.6404, relative_absolute_error: 0.4688, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.7712, kappa: 0.7478, kb_relative_information_score: 771.009, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7734, predictive_accuracy: 0.7707, prior_entropy: 3.4594, recall: 0.7707, relative_absolute_error: 0.2799, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.6479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.6429, kappa: 0.6067, kb_relative_information_score: 648.945, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6461, predictive_accuracy: 0.6424, prior_entropy: 3.4594, recall: 0.6424, relative_absolute_error: 0.4602, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.7347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.6186, kappa: 0.5811, kb_relative_information_score: 641.9527, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6213, predictive_accuracy: 0.6192, prior_entropy: 3.4594, recall: 0.6192, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.608, kappa: 0.5711, kb_relative_information_score: 627.6376, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6146, predictive_accuracy: 0.6101, prior_entropy: 3.4594, recall: 0.6101, relative_absolute_error: 0.5068, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.7185, kappa: 0.69, kb_relative_information_score: 737.1987, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7232, predictive_accuracy: 0.7182, prior_entropy: 3.4594, recall: 0.7182, relative_absolute_error: 0.3438, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.6659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.6398, kappa: 0.6044, kb_relative_information_score: 648.7992, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6418, predictive_accuracy: 0.6404, prior_entropy: 3.4594, recall: 0.6404, relative_absolute_error: 0.4665, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.7328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.6042, kappa: 0.5689, kb_relative_information_score: 620.1774, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6072, predictive_accuracy: 0.6081, prior_entropy: 3.4594, recall: 0.6081, relative_absolute_error: 0.5055, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2177, root_relative_squared_error: 0.7572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.6349, kappa: 0.6, kb_relative_information_score: 640.2672, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6351, predictive_accuracy: 0.6364, prior_entropy: 3.4594, recall: 0.6364, relative_absolute_error: 0.4787, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.7417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.6372, kappa: 0.6011, kb_relative_information_score: 647.7023, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6397, predictive_accuracy: 0.6374, prior_entropy: 3.4594, recall: 0.6374, relative_absolute_error: 0.4677, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.211, root_relative_squared_error: 0.7341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.8244, kappa: 0.8067, kb_relative_information_score: 816.5602, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8254, predictive_accuracy: 0.8242, prior_entropy: 3.4594, recall: 0.8242, relative_absolute_error: 0.1926, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.174, root_relative_squared_error: 0.6051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, f_measure: 0.6343, kappa: 0.5978, kb_relative_information_score: 645.9851, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6368, predictive_accuracy: 0.6343, prior_entropy: 3.4594, recall: 0.6343, relative_absolute_error: 0.4697, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.7369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.7187, kappa: 0.69, kb_relative_information_score: 739.1727, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7244, predictive_accuracy: 0.7182, prior_entropy: 3.4594, recall: 0.7182, relative_absolute_error: 0.3395, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.6657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.6474, kappa: 0.6122, kb_relative_information_score: 662.8006, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6504, predictive_accuracy: 0.6475, prior_entropy: 3.4594, recall: 0.6475, relative_absolute_error: 0.452, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.7279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.6506, kappa: 0.6178, kb_relative_information_score: 662.7902, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6537, predictive_accuracy: 0.6525, prior_entropy: 3.4594, recall: 0.6525, relative_absolute_error: 0.4573, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.7368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.7335, kappa: 0.7067, kb_relative_information_score: 739.7743, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7366, predictive_accuracy: 0.7333, prior_entropy: 3.4594, recall: 0.7333, relative_absolute_error: 0.3341, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1927, root_relative_squared_error: 0.6703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.7442, kappa: 0.7167, kb_relative_information_score: 762.4844, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7504, predictive_accuracy: 0.7424, prior_entropy: 3.4594, recall: 0.7424, relative_absolute_error: 0.3057, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1866, root_relative_squared_error: 0.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.7734, kappa: 0.7511, kb_relative_information_score: 785.2945, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7754, predictive_accuracy: 0.7737, prior_entropy: 3.4594, recall: 0.7737, relative_absolute_error: 0.2691, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.6274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.6521, kappa: 0.6178, kb_relative_information_score: 670.4389, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6551, predictive_accuracy: 0.6525, prior_entropy: 3.4594, recall: 0.6525, relative_absolute_error: 0.4418, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.7231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.6358, kappa: 0.6011, kb_relative_information_score: 637.9566, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6359, predictive_accuracy: 0.6374, prior_entropy: 3.4594, recall: 0.6374, relative_absolute_error: 0.4804, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.214, root_relative_squared_error: 0.7443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.7341, kappa: 0.7078, kb_relative_information_score: 745.7159, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7347, predictive_accuracy: 0.7343, prior_entropy: 3.4594, recall: 0.7343, relative_absolute_error: 0.3255, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.6427, kappa: 0.6067, kb_relative_information_score: 652.8281, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6463, predictive_accuracy: 0.6424, prior_entropy: 3.4594, recall: 0.6424, relative_absolute_error: 0.4582, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.6514, kappa: 0.6178, kb_relative_information_score: 669.9445, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6542, predictive_accuracy: 0.6525, prior_entropy: 3.4594, recall: 0.6525, relative_absolute_error: 0.4468, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.7317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.7002, kappa: 0.6711, kb_relative_information_score: 729.0152, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7007, predictive_accuracy: 0.701, prior_entropy: 3.4594, recall: 0.701, relative_absolute_error: 0.3528, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.6897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.6397, kappa: 0.6033, kb_relative_information_score: 647.2764, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6429, predictive_accuracy: 0.6394, prior_entropy: 3.4594, recall: 0.6394, relative_absolute_error: 0.4627, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.7359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.6366, kappa: 0.6033, kb_relative_information_score: 653.722, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.638, predictive_accuracy: 0.6394, prior_entropy: 3.4594, recall: 0.6394, relative_absolute_error: 0.4686, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.7457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.6548, kappa: 0.6211, kb_relative_information_score: 676.5692, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6558, predictive_accuracy: 0.6556, prior_entropy: 3.4594, recall: 0.6556, relative_absolute_error: 0.4328, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.7295, kappa: 0.7022, kb_relative_information_score: 745.3127, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7338, predictive_accuracy: 0.7293, prior_entropy: 3.4594, recall: 0.7293, relative_absolute_error: 0.3184, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.6686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.6165, kappa: 0.5789, kb_relative_information_score: 641.3577, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6191, predictive_accuracy: 0.6172, prior_entropy: 3.4594, recall: 0.6172, relative_absolute_error: 0.485, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.7562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.6111, kappa: 0.5756, kb_relative_information_score: 636.058, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6169, predictive_accuracy: 0.6141, prior_entropy: 3.4594, recall: 0.6141, relative_absolute_error: 0.4963, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.7567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.6388, kappa: 0.6033, kb_relative_information_score: 647.4009, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6408, predictive_accuracy: 0.6394, prior_entropy: 3.4594, recall: 0.6394, relative_absolute_error: 0.4686, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.211, root_relative_squared_error: 0.7341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.6108, kappa: 0.5756, kb_relative_information_score: 635.9165, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6164, predictive_accuracy: 0.6141, prior_entropy: 3.4594, recall: 0.6141, relative_absolute_error: 0.4961, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.7564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.7388, kappa: 0.7122, kb_relative_information_score: 751.563, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7425, predictive_accuracy: 0.7384, prior_entropy: 3.4594, recall: 0.7384, relative_absolute_error: 0.3219, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.6511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.6175, kappa: 0.58, kb_relative_information_score: 641.8381, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.62, predictive_accuracy: 0.6182, prior_entropy: 3.4594, recall: 0.6182, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.7553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.6111, kappa: 0.5756, kb_relative_information_score: 634.7121, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6172, predictive_accuracy: 0.6141, prior_entropy: 3.4594, recall: 0.6141, relative_absolute_error: 0.4989, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.7585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.7228, kappa: 0.6944, kb_relative_information_score: 741.1346, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7242, predictive_accuracy: 0.7222, prior_entropy: 3.4594, recall: 0.7222, relative_absolute_error: 0.3351, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.6463, kappa: 0.6111, kb_relative_information_score: 663.2159, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6494, predictive_accuracy: 0.6465, prior_entropy: 3.4594, recall: 0.6465, relative_absolute_error: 0.4493, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.7275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.6348, kappa: 0.6, kb_relative_information_score: 638.8582, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6349, predictive_accuracy: 0.6364, prior_entropy: 3.4594, recall: 0.6364, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.7417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.7395, kappa: 0.7122, kb_relative_information_score: 752.3123, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7432, predictive_accuracy: 0.7384, prior_entropy: 3.4594, recall: 0.7384, relative_absolute_error: 0.3206, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.6501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.615, kappa: 0.5778, kb_relative_information_score: 636.2571, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6206, predictive_accuracy: 0.6162, prior_entropy: 3.4594, recall: 0.6162, relative_absolute_error: 0.4959, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.218, root_relative_squared_error: 0.7584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.6393, kappa: 0.6056, kb_relative_information_score: 639.1461, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6398, predictive_accuracy: 0.6414, prior_entropy: 3.4594, recall: 0.6414, relative_absolute_error: 0.4803, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.7423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.6352, kappa: 0.5978, kb_relative_information_score: 649.8017, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6398, predictive_accuracy: 0.6343, prior_entropy: 3.4594, recall: 0.6343, relative_absolute_error: 0.462, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.213, root_relative_squared_error: 0.7408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.7981, kappa: 0.7778, kb_relative_information_score: 796.1596, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8008, predictive_accuracy: 0.798, prior_entropy: 3.4594, recall: 0.798, relative_absolute_error: 0.2328, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.6278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.7673, kappa: 0.7444, kb_relative_information_score: 779.4751, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7691, predictive_accuracy: 0.7677, prior_entropy: 3.4594, recall: 0.7677, relative_absolute_error: 0.2759, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.6347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.8231, kappa: 0.8056, kb_relative_information_score: 815.8961, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8249, predictive_accuracy: 0.8232, prior_entropy: 3.4594, recall: 0.8232, relative_absolute_error: 0.19, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.6069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.6736, kappa: 0.6411, kb_relative_information_score: 692.8775, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6752, predictive_accuracy: 0.6737, prior_entropy: 3.4594, recall: 0.6737, relative_absolute_error: 0.4099, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.7139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.7237, kappa: 0.6967, kb_relative_information_score: 741.1504, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7268, predictive_accuracy: 0.7242, prior_entropy: 3.4594, recall: 0.7242, relative_absolute_error: 0.3292, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.6671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.6513, kappa: 0.6178, kb_relative_information_score: 670.4468, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6537, predictive_accuracy: 0.6525, prior_entropy: 3.4594, recall: 0.6525, relative_absolute_error: 0.4422, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.7231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.616, kappa: 0.5789, kb_relative_information_score: 636.5302, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6215, predictive_accuracy: 0.6172, prior_entropy: 3.4594, recall: 0.6172, relative_absolute_error: 0.4938, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.7579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9297, f_measure: 0.646, kappa: 0.6111, kb_relative_information_score: 667.3489, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6496, predictive_accuracy: 0.6465, prior_entropy: 3.4594, recall: 0.6465, relative_absolute_error: 0.4469, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.209, root_relative_squared_error: 0.7272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.6121, kappa: 0.5767, kb_relative_information_score: 635.4551, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.618, predictive_accuracy: 0.6152, prior_entropy: 3.4594, recall: 0.6152, relative_absolute_error: 0.498, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.7569,

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