OpenML
Supervised Classification on MiceProtein

Supervised Classification on MiceProtein

Task 34538 Supervised Classification MiceProtein 10616 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 6.6528, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3305, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1021.9442, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 1, predictive_accuracy: 1, prior_entropy: 2.9931, recall: 1, relative_absolute_error: 0.1151, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0551, root_relative_squared_error: 0.1669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1023.7599, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 1, predictive_accuracy: 1, prior_entropy: 2.9931, recall: 1, relative_absolute_error: 0.1142, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0489, root_relative_squared_error: 0.1481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 13.7889, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5026, kappa: 0.0053, kb_relative_information_score: 79.0944, mean_absolute_error: 0.2176, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1296, prior_entropy: 2.9931, recall: 0.1296, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4665, root_relative_squared_error: 1.4114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 73.7611, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4677, root_relative_squared_error: 1.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.7913, kappa: 0.7635, kb_relative_information_score: 421.132, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.7948, predictive_accuracy: 0.7935, prior_entropy: 2.9931, recall: 0.7935, relative_absolute_error: 0.8056, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2713, root_relative_squared_error: 0.8209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 38.4846, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3319, root_relative_squared_error: 1.0044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 6.3138, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3305, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.988, kappa: 0.9862, kb_relative_information_score: 986.0221, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9881, predictive_accuracy: 0.988, prior_entropy: 2.9931, recall: 0.988, relative_absolute_error: 0.1694, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.081, root_relative_squared_error: 0.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5026, kb_relative_information_score: 18.9991, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3307, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4973, kb_relative_information_score: 41.0279, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3319, root_relative_squared_error: 1.0044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 11.4976, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 45.0018, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3321, root_relative_squared_error: 1.0047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 7.5022, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3305, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 8.6973, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 37.29, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3317, root_relative_squared_error: 1.0036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, kb_relative_information_score: 13.6711, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9694, kappa: 0.965, kb_relative_information_score: 952.8897, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9698, predictive_accuracy: 0.9694, prior_entropy: 2.9931, recall: 0.9694, relative_absolute_error: 0.2192, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.106, root_relative_squared_error: 0.3208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 37.2761, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3317, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9963, kappa: 0.9958, kb_relative_information_score: 937.7422, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9964, predictive_accuracy: 0.9963, prior_entropy: 2.9931, recall: 0.9963, relative_absolute_error: 0.2585, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.3173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 73.7611, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4677, root_relative_squared_error: 1.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 73.7611, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4677, root_relative_squared_error: 1.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, kb_relative_information_score: 6.6347, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3305, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.7666, kappa: 0.738, kb_relative_information_score: 624.9133, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.7844, predictive_accuracy: 0.7713, prior_entropy: 2.9931, recall: 0.7713, relative_absolute_error: 0.607, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.6908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 27.9788, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3311, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 9.5779, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7635, kappa: 0.7355, kb_relative_information_score: 591.131, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.7782, predictive_accuracy: 0.7685, prior_entropy: 2.9931, recall: 0.7685, relative_absolute_error: 0.6442, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2361, root_relative_squared_error: 0.7144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 990.5677, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 1, predictive_accuracy: 1, prior_entropy: 2.9931, recall: 1, relative_absolute_error: 0.1778, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0679, root_relative_squared_error: 0.2055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 16.5145, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3307, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 16.5508, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3308, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4973, kb_relative_information_score: 31.1694, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3313, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 76.45, mean_absolute_error: 0.2181, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3379, root_relative_squared_error: 1.0224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 6.0335, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3305, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 865.2441, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 1, predictive_accuracy: 1, prior_entropy: 2.9931, recall: 1, relative_absolute_error: 0.3784, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1366, root_relative_squared_error: 0.4132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 73.7611, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4677, root_relative_squared_error: 1.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 54.9901, mean_absolute_error: 0.2178, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3342, root_relative_squared_error: 1.0111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.8387, kappa: 0.8157, kb_relative_information_score: 785.7367, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8409, predictive_accuracy: 0.8389, prior_entropy: 2.9931, recall: 0.8389, relative_absolute_error: 0.4268, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.5609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 18.4426, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3308, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9564, kappa: 0.9502, kb_relative_information_score: 840.5484, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9569, predictive_accuracy: 0.9565, prior_entropy: 2.9931, recall: 0.9565, relative_absolute_error: 0.3942, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1524, root_relative_squared_error: 0.4611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, kb_relative_information_score: 25.0128, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3311, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 10.8859, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 27.7478, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3316, root_relative_squared_error: 1.0034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4973, kb_relative_information_score: 36.6967, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3316, root_relative_squared_error: 1.0034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 41.7038, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.333, root_relative_squared_error: 1.0074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 22.1724, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.331, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 6.5604, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3305, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, kb_relative_information_score: 17.8248, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3308, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.7823, kappa: 0.7593, kb_relative_information_score: 551.0805, mean_absolute_error: 0.1516, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8177, predictive_accuracy: 0.7898, prior_entropy: 2.9931, recall: 0.7898, relative_absolute_error: 0.6937, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.7395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9797, kappa: 0.9767, kb_relative_information_score: 820.8792, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9805, predictive_accuracy: 0.9796, prior_entropy: 2.9931, recall: 0.9796, relative_absolute_error: 0.4332, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.4794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.988, kappa: 0.9862, kb_relative_information_score: 812.8991, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 2.9931, recall: 0.988, relative_absolute_error: 0.4409, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1614, root_relative_squared_error: 0.4884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 12.7292, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, kb_relative_information_score: 21.5357, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3309, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9907, kappa: 0.9894, kb_relative_information_score: 892.9865, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9909, predictive_accuracy: 0.9907, prior_entropy: 2.9931, recall: 0.9907, relative_absolute_error: 0.3268, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1239, root_relative_squared_error: 0.3749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 30.1884, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3312, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 34.8158, mean_absolute_error: 0.2189, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3314, root_relative_squared_error: 1.0028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9898, kappa: 0.9883, kb_relative_information_score: 808.9101, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9902, predictive_accuracy: 0.9898, prior_entropy: 2.9931, recall: 0.9898, relative_absolute_error: 0.4453, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1586, root_relative_squared_error: 0.4798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9621, kappa: 0.9566, kb_relative_information_score: 962.3788, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9623, predictive_accuracy: 0.962, prior_entropy: 2.9931, recall: 0.962, relative_absolute_error: 0.197, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1067, root_relative_squared_error: 0.3227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, kappa: 0.0027, kb_relative_information_score: 19.4006, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1343, prior_entropy: 2.9931, recall: 0.1343, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3308, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: 73.7611, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4677, root_relative_squared_error: 1.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 22.2139, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3309, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9683, kappa: 0.964, kb_relative_information_score: 827.5442, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9707, predictive_accuracy: 0.9685, prior_entropy: 2.9931, recall: 0.9685, relative_absolute_error: 0.4143, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1542, root_relative_squared_error: 0.4665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9972, kappa: 0.9968, kb_relative_information_score: 980.0257, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9972, predictive_accuracy: 0.9972, prior_entropy: 2.9931, recall: 0.9972, relative_absolute_error: 0.1865, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0798, root_relative_squared_error: 0.2415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 3.0934, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3305, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 19.5817, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3309, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.7669, kappa: 0.7276, kb_relative_information_score: 740.2396, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8021, predictive_accuracy: 0.762, prior_entropy: 2.9931, recall: 0.762, relative_absolute_error: 0.4137, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.239, root_relative_squared_error: 0.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 7.9587, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 3.7142, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3305, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 15.1301, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3307, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9972, kappa: 0.9968, kb_relative_information_score: 999.9167, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9972, predictive_accuracy: 0.9972, prior_entropy: 2.9931, recall: 0.9972, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.1984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 14.5123, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3307, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 19.5453, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3309, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 10.738, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 13.6256, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3307, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 73.7611, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4677, root_relative_squared_error: 1.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.7745, kappa: 0.759, kb_relative_information_score: 457.1779, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8374, predictive_accuracy: 0.7889, prior_entropy: 2.9931, recall: 0.7889, relative_absolute_error: 0.7795, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2645, root_relative_squared_error: 0.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 34.513, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3317, root_relative_squared_error: 1.0036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8094, f_measure: 0.7217, kappa: 0.6679, kb_relative_information_score: 687.3066, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.765, predictive_accuracy: 0.7102, prior_entropy: 2.9931, recall: 0.7102, relative_absolute_error: 0.4711, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.7865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 43.3831, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3323, root_relative_squared_error: 1.0056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.8735, kappa: 0.8631, kb_relative_information_score: 711.3105, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8897, predictive_accuracy: 0.8806, prior_entropy: 2.9931, recall: 0.8806, relative_absolute_error: 0.5284, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.5983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5396, kappa: 0.0434, kb_relative_information_score: 36.1218, mean_absolute_error: 0.2162, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.175, prior_entropy: 2.9931, recall: 0.175, relative_absolute_error: 0.9897, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3285, root_relative_squared_error: 0.9939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.7681, kappa: 0.7555, kb_relative_information_score: 465.6759, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8134, predictive_accuracy: 0.787, prior_entropy: 2.9931, recall: 0.787, relative_absolute_error: 0.7718, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2637, root_relative_squared_error: 0.7978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 22.8411, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3309, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, kb_relative_information_score: 23.9212, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3309, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 35.3013, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3314, root_relative_squared_error: 1.0028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8071, kappa: 0.3867, kb_relative_information_score: 174.2938, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.4667, prior_entropy: 2.9931, recall: 0.4667, relative_absolute_error: 0.9359, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.313, root_relative_squared_error: 0.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 27.6228, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.331, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 52.804, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.0972, prior_entropy: 2.9931, recall: 0.0972, relative_absolute_error: 1.0331, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4751, root_relative_squared_error: 1.4374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 27.0316, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3311, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8946, f_measure: 0.4631, kappa: 0.4526, kb_relative_information_score: 344.3892, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.6552, predictive_accuracy: 0.5204, prior_entropy: 2.9931, recall: 0.5204, relative_absolute_error: 0.8286, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.287, root_relative_squared_error: 0.8684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 27.9833, mean_absolute_error: 0.2181, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3312, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 9.914, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9944, kappa: 0.9936, kb_relative_information_score: 963.9357, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9945, predictive_accuracy: 0.9944, prior_entropy: 2.9931, recall: 0.9944, relative_absolute_error: 0.218, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.2751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 83.3448, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9854, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.464, root_relative_squared_error: 1.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 5.4451, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3305, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 83.3448, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9854, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.464, root_relative_squared_error: 1.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9759, kappa: 0.9724, kb_relative_information_score: 801.2514, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9761, predictive_accuracy: 0.9759, prior_entropy: 2.9931, recall: 0.9759, relative_absolute_error: 0.4559, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.5033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4973, kb_relative_information_score: 12.4885, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 6.5466, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3305, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9645, kappa: 0.9597, kb_relative_information_score: 791.7779, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9655, predictive_accuracy: 0.9648, prior_entropy: 2.9931, recall: 0.9648, relative_absolute_error: 0.4511, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.4969,

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