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: 0.5, kb_relative_information_score: 26.5874, 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: 0.3313, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9694, kappa: 0.965, kb_relative_information_score: 768.0989, mean_absolute_error: 0.1079, 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: 0.4939, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1791, root_relative_squared_error: 0.5418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.936, kappa: 0.9269, kb_relative_information_score: 913.9183, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9367, predictive_accuracy: 0.9361, prior_entropy: 2.9931, recall: 0.9361, relative_absolute_error: 0.2688, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.132, root_relative_squared_error: 0.3994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 10.4884, 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: 0.3306, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 966.8702, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 1, predictive_accuracy: 1, prior_entropy: 2.9931, recall: 1, relative_absolute_error: 0.2173, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0822, root_relative_squared_error: 0.2486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9972, kappa: 0.9968, kb_relative_information_score: 986.7991, mean_absolute_error: 0.0391, 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: 0.1789, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0767, root_relative_squared_error: 0.2322,
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: 54.0162, 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: 0.9994, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3344, root_relative_squared_error: 1.0117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 11.9569, 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: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5433, f_measure: 0.2958, kappa: 0.1921, kb_relative_information_score: 267.8365, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.3091, predictive_accuracy: 0.2935, prior_entropy: 2.9931, recall: 0.2935, relative_absolute_error: 0.8156, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4171, root_relative_squared_error: 1.2621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.7283, kappa: 0.7117, kb_relative_information_score: 469.6328, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8154, predictive_accuracy: 0.7472, prior_entropy: 2.9931, recall: 0.7472, relative_absolute_error: 0.7597, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.262, root_relative_squared_error: 0.7927,
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: 0.9658, kappa: 0.9608, kb_relative_information_score: 797.6368, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9663, predictive_accuracy: 0.9657, prior_entropy: 2.9931, recall: 0.9657, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1687, root_relative_squared_error: 0.5104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4973, kb_relative_information_score: 7.3446, 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: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 38.3447, 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: 1.0003, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3319, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, kappa: -0.0027, kb_relative_information_score: 9.1332, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1296, prior_entropy: 2.9931, recall: 0.1296, 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: 0.9903, f_measure: 0.8659, kappa: 0.8484, kb_relative_information_score: 674.9964, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8711, predictive_accuracy: 0.8676, prior_entropy: 2.9931, recall: 0.8676, relative_absolute_error: 0.5824, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.6437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4973, kappa: -0.0027, kb_relative_information_score: 13.6292, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1296, prior_entropy: 2.9931, recall: 0.1296, 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: 0.9397, f_measure: 0.6852, kappa: 0.6633, kb_relative_information_score: 531.3529, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.7169, predictive_accuracy: 0.7065, prior_entropy: 2.9931, recall: 0.7065, relative_absolute_error: 0.6799, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2474, root_relative_squared_error: 0.7485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, kb_relative_information_score: 24.6507, 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: 1.0003, 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: 0.9947, f_measure: 0.8763, kappa: 0.861, kb_relative_information_score: 600.8404, mean_absolute_error: 0.1448, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8949, predictive_accuracy: 0.8787, prior_entropy: 2.9931, recall: 0.8787, relative_absolute_error: 0.6629, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4973, kb_relative_information_score: 28.7908, 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: 0.3312, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5445, f_measure: 0.1924, kappa: 0.0933, kb_relative_information_score: 165.4705, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.236, predictive_accuracy: 0.2065, prior_entropy: 2.9931, recall: 0.2065, relative_absolute_error: 0.9081, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4454, root_relative_squared_error: 1.3476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5161, kappa: 0.0335, kb_relative_information_score: 110.3315, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1574, prior_entropy: 2.9931, recall: 0.1574, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.459, root_relative_squared_error: 1.3887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 11.8379, 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: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 7.8317, 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: 0.3305, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 5.8058, 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: 1.0003, 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: 7.8161, 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: 14.4007, 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: 1.0003, 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: 0.4973, kb_relative_information_score: 14.751, 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: 0.3307, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 27.4858, 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: 0.3311, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9039, kappa: 0.8908, kb_relative_information_score: 712.0255, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9114, predictive_accuracy: 0.9046, prior_entropy: 2.9931, recall: 0.9046, relative_absolute_error: 0.546, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.6023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.651, kappa: 0.6269, kb_relative_information_score: 443.4503, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.7456, predictive_accuracy: 0.675, prior_entropy: 2.9931, recall: 0.675, relative_absolute_error: 0.7711, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2675, root_relative_squared_error: 0.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, kb_relative_information_score: 16.4829, 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: 1.0006, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.331, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 27.6175, 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: 0.3312, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 15.5286, 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: 0.3307, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9417, kappa: 0.9332, kb_relative_information_score: 859.0827, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9426, predictive_accuracy: 0.9417, prior_entropy: 2.9931, recall: 0.9417, relative_absolute_error: 0.358, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1489, root_relative_squared_error: 0.4506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 11.6722, 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: 0.4974, kb_relative_information_score: 40.27, 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: 0.3319, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 20.8767, 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: 0.3309, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9364, kappa: 0.9269, kb_relative_information_score: 937.9615, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9386, predictive_accuracy: 0.9361, prior_entropy: 2.9931, recall: 0.9361, relative_absolute_error: 0.2264, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1257, root_relative_squared_error: 0.3804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5026, kb_relative_information_score: 18.3537, 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: 0.3308, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.8989, kappa: 0.8845, kb_relative_information_score: 857.07, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8998, predictive_accuracy: 0.8991, prior_entropy: 2.9931, recall: 0.8991, relative_absolute_error: 0.3456, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1568, root_relative_squared_error: 0.4744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 30.8501, 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: 1.0007, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3312, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 15.2369, 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: 0.3307, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kappa: -0.0027, kb_relative_information_score: 12.0688, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1296, prior_entropy: 2.9931, recall: 0.1296, relative_absolute_error: 1.0007, 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: 28.7768, 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: 0.3312, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9832, kappa: 0.9809, kb_relative_information_score: 871.2245, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9835, predictive_accuracy: 0.9833, prior_entropy: 2.9931, recall: 0.9833, relative_absolute_error: 0.3514, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.136, root_relative_squared_error: 0.4116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.8288, kappa: 0.805, kb_relative_information_score: 673.0416, mean_absolute_error: 0.1245, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8296, predictive_accuracy: 0.8296, prior_entropy: 2.9931, recall: 0.8296, relative_absolute_error: 0.5701, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 914.743, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 1, predictive_accuracy: 1, prior_entropy: 2.9931, recall: 1, relative_absolute_error: 0.3027, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1128, root_relative_squared_error: 0.3413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, kb_relative_information_score: 29.8765, 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: 0.3312, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 9.5873, 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: 0.3306, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.1308, 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: 0.9982, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.336, root_relative_squared_error: 1.0168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1032.1093, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 1, predictive_accuracy: 1, prior_entropy: 2.9931, recall: 1, relative_absolute_error: 0.098, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0437, root_relative_squared_error: 0.1323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.975, kappa: 0.9714, kb_relative_information_score: 866.0505, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9758, predictive_accuracy: 0.975, prior_entropy: 2.9931, recall: 0.975, relative_absolute_error: 0.3602, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.4277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 53.9494, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3338, root_relative_squared_error: 1.0098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 15.0108, 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: 0.3306, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 13.0681, 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: 0.3306, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 3.5559, 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: 0.9774, f_measure: 0.7384, kappa: 0.713, kb_relative_information_score: 564.6685, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.7913, predictive_accuracy: 0.75, prior_entropy: 2.9931, recall: 0.75, relative_absolute_error: 0.675, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2421, root_relative_squared_error: 0.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9972, kappa: 0.9968, kb_relative_information_score: 925.736, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9973, predictive_accuracy: 0.9972, prior_entropy: 2.9931, recall: 0.9972, relative_absolute_error: 0.2834, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1082, root_relative_squared_error: 0.3273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.8572, kappa: 0.8388, kb_relative_information_score: 419.4828, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8666, predictive_accuracy: 0.8593, prior_entropy: 2.9931, recall: 0.8593, relative_absolute_error: 0.8098, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.8253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 7.8251, 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: 0.4974, kb_relative_information_score: 8.3347, 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: 1.0003, 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: 1, kappa: 1, kb_relative_information_score: 953.3757, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 1, predictive_accuracy: 1, prior_entropy: 2.9931, recall: 1, relative_absolute_error: 0.2396, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0929, root_relative_squared_error: 0.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1002.5763, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 1, predictive_accuracy: 1, prior_entropy: 2.9931, recall: 1, relative_absolute_error: 0.1527, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0653, root_relative_squared_error: 0.1977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 1.5717, 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: 0.5364, kappa: 0.0722, kb_relative_information_score: 145.62, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1898, prior_entropy: 2.9931, recall: 0.1898, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4501, root_relative_squared_error: 1.3617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 19.5984, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3311, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 18.5083, 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: 0.3309, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, kb_relative_information_score: 19.4523, 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: 0.3308, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 27.3983, 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: 0.9999, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3312, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5448, f_measure: 0.2024, kappa: 0.0893, kb_relative_information_score: 162.8125, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.2453, predictive_accuracy: 0.2037, prior_entropy: 2.9931, recall: 0.2037, relative_absolute_error: 0.9112, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4462, root_relative_squared_error: 1.35,
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: 8.0407, 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: 0.5, kb_relative_information_score: 48.8494, mean_absolute_error: 0.2189, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3327, root_relative_squared_error: 1.0068,
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: 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: 0.9965, f_measure: 0.925, kappa: 0.9142, kb_relative_information_score: 787.4513, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9279, predictive_accuracy: 0.925, prior_entropy: 2.9931, recall: 0.925, relative_absolute_error: 0.4549, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.5314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 2.3244, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.8971, kappa: 0.8824, kb_relative_information_score: 901.413, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8984, predictive_accuracy: 0.8972, prior_entropy: 2.9931, recall: 0.8972, relative_absolute_error: 0.2498, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.4352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9301, kappa: 0.9216, kb_relative_information_score: 882.7603, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9366, predictive_accuracy: 0.9315, prior_entropy: 2.9931, recall: 0.9315, relative_absolute_error: 0.3044, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1443, root_relative_squared_error: 0.4365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 3.6664, 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: 0.5, kb_relative_information_score: 62.3603, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.337, root_relative_squared_error: 1.0197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.8805, kappa: 0.8726, kb_relative_information_score: 579.625, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9006, predictive_accuracy: 0.8889, prior_entropy: 2.9931, recall: 0.8889, relative_absolute_error: 0.6877, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.7159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 71.4549, mean_absolute_error: 0.219, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0025, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3366, root_relative_squared_error: 1.0184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.8606, kappa: 0.8411, kb_relative_information_score: 832.5871, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.862, predictive_accuracy: 0.8611, prior_entropy: 2.9931, recall: 0.8611, relative_absolute_error: 0.3455, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.168, root_relative_squared_error: 0.5085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 19.1153, 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: 0.3309, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 14.4851, 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: 0.9998, 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: 32.8746, 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: 0.3313, root_relative_squared_error: 1.0025,
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: 0.9873, f_measure: 0.8421, kappa: 0.8209, kb_relative_information_score: 676.0093, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.851, predictive_accuracy: 0.8435, prior_entropy: 2.9931, recall: 0.8435, relative_absolute_error: 0.5715, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, kb_relative_information_score: 40.297, 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: 0.3317, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9907, kappa: 0.9894, kb_relative_information_score: 909.2179, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9912, predictive_accuracy: 0.9907, prior_entropy: 2.9931, recall: 0.9907, relative_absolute_error: 0.3046, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.3494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 26.4471, 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: 0.9993, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3315, root_relative_squared_error: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.988, kappa: 0.9862, kb_relative_information_score: 878.3263, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.988, predictive_accuracy: 0.988, prior_entropy: 2.9931, recall: 0.988, relative_absolute_error: 0.351, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1338, root_relative_squared_error: 0.4049,
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: 0.4921, kb_relative_information_score: 34.4016, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9987, 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: 0.5, kb_relative_information_score: 12.5094, 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: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9003, kappa: 0.8866, kb_relative_information_score: 850.319, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9042, predictive_accuracy: 0.9009, prior_entropy: 2.9931, recall: 0.9009, relative_absolute_error: 0.351, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.4786,

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

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

OpenML APIs