OpenML
Supervised Classification on MiceProtein

Supervised Classification on MiceProtein

Task 146800 Supervised Classification MiceProtein 9545 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, f_measure: 0.764, kappa: 0.7552, kb_relative_information_score: 825.6206, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8293, predictive_accuracy: 0.787, prior_entropy: 2.9931, recall: 0.787, relative_absolute_error: 0.2437, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.6982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9981, kappa: 0.9979, kb_relative_information_score: 1077.8718, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9982, predictive_accuracy: 0.9981, prior_entropy: 2.9931, recall: 0.9981, relative_absolute_error: 0.0021, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0215, root_relative_squared_error: 0.0651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5597, kappa: 0.1194, kb_relative_information_score: 196.9958, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2417, prior_entropy: 2.9931, recall: 0.2417, relative_absolute_error: 0.8678, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4354, root_relative_squared_error: 1.3174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7231, f_measure: 0.5625, kappa: 0.4489, kb_relative_information_score: 522.2025, mean_absolute_error: 0.1192, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8924, predictive_accuracy: 0.5231, prior_entropy: 2.9931, recall: 0.5231, relative_absolute_error: 0.5457, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3453, root_relative_squared_error: 1.0447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9972, kappa: 0.9968, kb_relative_information_score: 1076.848, mean_absolute_error: 0.0007, 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: 0.0032, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0264, root_relative_squared_error: 0.0797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9972, kappa: 0.9968, kb_relative_information_score: 1076.848, mean_absolute_error: 0.0007, 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: 0.0032, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0264, root_relative_squared_error: 0.0797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5054, kappa: 0.0108, kb_relative_information_score: 93.5836, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1481, prior_entropy: 2.9931, recall: 0.1481, relative_absolute_error: 0.9748, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4615, root_relative_squared_error: 1.3963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9846, kappa: 0.982, kb_relative_information_score: 1061.7935, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.986, predictive_accuracy: 0.9843, prior_entropy: 2.9931, recall: 0.9843, relative_absolute_error: 0.018, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0627, root_relative_squared_error: 0.1898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.8928, kappa: 0.8619, kb_relative_information_score: 939.3486, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9355, predictive_accuracy: 0.8796, prior_entropy: 2.9931, recall: 0.8796, relative_absolute_error: 0.1377, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.5249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9981, kappa: 0.9979, kb_relative_information_score: 1077.8718, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9982, predictive_accuracy: 0.9981, prior_entropy: 2.9931, recall: 0.9981, relative_absolute_error: 0.0021, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0215, root_relative_squared_error: 0.0651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9944, kappa: 0.9936, kb_relative_information_score: 1073.648, mean_absolute_error: 0.0014, 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: 0.0064, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0373, root_relative_squared_error: 0.1128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9981, kappa: 0.9979, kb_relative_information_score: 1077.8718, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9982, predictive_accuracy: 0.9981, prior_entropy: 2.9931, recall: 0.9981, relative_absolute_error: 0.0021, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0215, root_relative_squared_error: 0.0651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9972, kappa: 0.9968, kb_relative_information_score: 1076.848, mean_absolute_error: 0.0007, 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: 0.0032, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0264, root_relative_squared_error: 0.0797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.7537, kappa: 0.7321, kb_relative_information_score: 804.7849, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8043, predictive_accuracy: 0.7667, prior_entropy: 2.9931, recall: 0.7667, relative_absolute_error: 0.267, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.7308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.572, kappa: 0.1448, kb_relative_information_score: 222.8549, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.263, prior_entropy: 2.9931, recall: 0.263, relative_absolute_error: 0.8434, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4293, root_relative_squared_error: 1.2988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.7738, kappa: 0.745, kb_relative_information_score: 819.6026, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8128, predictive_accuracy: 0.7778, prior_entropy: 2.9931, recall: 0.7778, relative_absolute_error: 0.2543, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.7132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6189, kappa: 0.2387, kb_relative_information_score: 313.1304, mean_absolute_error: 0.1641, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.3435, prior_entropy: 2.9931, recall: 0.3435, relative_absolute_error: 0.7513, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4051, root_relative_squared_error: 1.2258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5554, kappa: 0.1108, kb_relative_information_score: 188.8902, mean_absolute_error: 0.1914, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2343, prior_entropy: 2.9931, recall: 0.2343, relative_absolute_error: 0.8763, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4375, root_relative_squared_error: 1.3239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9972, kappa: 0.9968, kb_relative_information_score: 1076.848, mean_absolute_error: 0.0007, 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: 0.0032, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0264, root_relative_squared_error: 0.0797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9936, kappa: 0.9926, kb_relative_information_score: 1072.5617, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9938, predictive_accuracy: 0.9935, prior_entropy: 2.9931, recall: 0.9935, relative_absolute_error: 0.0074, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0403, root_relative_squared_error: 0.1218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5667, kappa: 0.1333, kb_relative_information_score: 210.3062, mean_absolute_error: 0.1866, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2537, prior_entropy: 2.9931, recall: 0.2537, relative_absolute_error: 0.854, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4319, root_relative_squared_error: 1.3069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.989, kappa: 0.9873, kb_relative_information_score: 1067.2516, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9895, predictive_accuracy: 0.9889, prior_entropy: 2.9931, recall: 0.9889, relative_absolute_error: 0.0127, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0527, root_relative_squared_error: 0.1595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9873, kappa: 0.9852, kb_relative_information_score: 1065.161, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9883, predictive_accuracy: 0.987, prior_entropy: 2.9931, recall: 0.987, relative_absolute_error: 0.0148, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0569, root_relative_squared_error: 0.1722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5715, kappa: 0.143, kb_relative_information_score: 219.5212, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.262, prior_entropy: 2.9931, recall: 0.262, relative_absolute_error: 0.8445, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4295, root_relative_squared_error: 1.2996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.6457, kappa: 0.6254, kb_relative_information_score: 696.9427, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.744, predictive_accuracy: 0.6741, prior_entropy: 2.9931, recall: 0.6741, relative_absolute_error: 0.373, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2854, root_relative_squared_error: 0.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.989, kappa: 0.9873, kb_relative_information_score: 1067.2516, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9895, predictive_accuracy: 0.9889, prior_entropy: 2.9931, recall: 0.9889, relative_absolute_error: 0.0127, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0527, root_relative_squared_error: 0.1595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5059, kappa: 0.0118, kb_relative_information_score: 94.6075, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1491, prior_entropy: 2.9931, recall: 0.1491, relative_absolute_error: 0.9738, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4612, root_relative_squared_error: 1.3955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5161, kappa: 0.0323, kb_relative_information_score: 114.0613, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1667, prior_entropy: 2.9931, recall: 0.1667, relative_absolute_error: 0.9536, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4564, root_relative_squared_error: 1.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9981, kappa: 0.9979, kb_relative_information_score: 1077.8718, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9982, predictive_accuracy: 0.9981, prior_entropy: 2.9931, recall: 0.9981, relative_absolute_error: 0.0021, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0215, root_relative_squared_error: 0.0651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5274, kappa: 0.0549, kb_relative_information_score: 135.6483, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1861, prior_entropy: 2.9931, recall: 0.1861, relative_absolute_error: 0.9314, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4511, root_relative_squared_error: 1.3648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9945, kappa: 0.9936, kb_relative_information_score: 1073.6284, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9946, predictive_accuracy: 0.9944, prior_entropy: 2.9931, recall: 0.9944, relative_absolute_error: 0.0064, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0373, root_relative_squared_error: 0.1128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9981, kappa: 0.9979, kb_relative_information_score: 1077.8718, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9982, predictive_accuracy: 0.9981, prior_entropy: 2.9931, recall: 0.9981, relative_absolute_error: 0.0021, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0215, root_relative_squared_error: 0.0651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7823, f_measure: 0.6688, kappa: 0.5674, kb_relative_information_score: 640.6881, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8986, predictive_accuracy: 0.625, prior_entropy: 2.9931, recall: 0.625, relative_absolute_error: 0.4291, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3062, root_relative_squared_error: 0.9264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9972, kappa: 0.9968, kb_relative_information_score: 1076.848, mean_absolute_error: 0.0007, 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: 0.0032, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0264, root_relative_squared_error: 0.0797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5145, kappa: 0.029, kb_relative_information_score: 110.9896, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1639, prior_entropy: 2.9931, recall: 0.1639, relative_absolute_error: 0.9568, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4572, root_relative_squared_error: 1.3833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9954, kappa: 0.9947, kb_relative_information_score: 1074.8002, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 2.9931, recall: 0.9954, relative_absolute_error: 0.0053, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.034, root_relative_squared_error: 0.1029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5183, kappa: 0.0366, kb_relative_information_score: 118.1568, mean_absolute_error: 0.2074, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1704, prior_entropy: 2.9931, recall: 0.1704, relative_absolute_error: 0.9494, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4554, root_relative_squared_error: 1.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5129, kappa: 0.0258, kb_relative_information_score: 107.918, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1611, prior_entropy: 2.9931, recall: 0.1611, relative_absolute_error: 0.96, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.458, root_relative_squared_error: 1.3856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9751, kappa: 0.9714, kb_relative_information_score: 1051.5476, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9754, predictive_accuracy: 0.975, prior_entropy: 2.9931, recall: 0.975, relative_absolute_error: 0.0286, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0791, root_relative_squared_error: 0.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6511, f_measure: 0.4165, kappa: 0.3041, kb_relative_information_score: 378.9032, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8872, predictive_accuracy: 0.3991, prior_entropy: 2.9931, recall: 0.3991, relative_absolute_error: 0.6877, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3876, root_relative_squared_error: 1.1728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5952, kappa: 0.1914, kb_relative_information_score: 268.3789, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.3028, prior_entropy: 2.9931, recall: 0.3028, relative_absolute_error: 0.7979, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4175, root_relative_squared_error: 1.2632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.9406, kappa: 0.9268, kb_relative_information_score: 1005.1705, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9562, predictive_accuracy: 0.9361, prior_entropy: 2.9931, recall: 0.9361, relative_absolute_error: 0.0731, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1264, root_relative_squared_error: 0.3824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9676, kappa: 0.9618, kb_relative_information_score: 1041.1063, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.971, predictive_accuracy: 0.9667, prior_entropy: 2.9931, recall: 0.9667, relative_absolute_error: 0.0381, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.2762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9806, kappa: 0.9777, kb_relative_information_score: 1057.9475, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.981, predictive_accuracy: 0.9806, prior_entropy: 2.9931, recall: 0.9806, relative_absolute_error: 0.0223, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0697, root_relative_squared_error: 0.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9926, kappa: 0.9915, kb_relative_information_score: 1071.5378, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9928, predictive_accuracy: 0.9926, prior_entropy: 2.9931, recall: 0.9926, relative_absolute_error: 0.0085, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.043, root_relative_squared_error: 0.1302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6285, f_measure: 0.3654, kappa: 0.2586, kb_relative_information_score: 334.1891, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8859, predictive_accuracy: 0.3602, prior_entropy: 2.9931, recall: 0.3602, relative_absolute_error: 0.7322, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3999, root_relative_squared_error: 1.2101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9963, kappa: 0.9958, kb_relative_information_score: 1075.7813, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9963, predictive_accuracy: 0.9963, prior_entropy: 2.9931, recall: 0.9963, relative_absolute_error: 0.0042, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0304, root_relative_squared_error: 0.0921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8834, f_measure: 0.7951, kappa: 0.7675, kb_relative_information_score: 842.9489, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8233, predictive_accuracy: 0.7972, prior_entropy: 2.9931, recall: 0.7972, relative_absolute_error: 0.2321, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.6813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9723, kappa: 0.9682, kb_relative_information_score: 1048.4332, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9726, predictive_accuracy: 0.9722, prior_entropy: 2.9931, recall: 0.9722, relative_absolute_error: 0.0318, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0833, root_relative_squared_error: 0.2521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9899, kappa: 0.9883, kb_relative_information_score: 1068.4234, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9903, predictive_accuracy: 0.9898, prior_entropy: 2.9931, recall: 0.9898, relative_absolute_error: 0.0117, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0505, root_relative_squared_error: 0.1527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.903, kappa: 0.8887, kb_relative_information_score: 968.7671, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9109, predictive_accuracy: 0.9028, prior_entropy: 2.9931, recall: 0.9028, relative_absolute_error: 0.1113, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1559, root_relative_squared_error: 0.4717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9695, kappa: 0.964, kb_relative_information_score: 1043.2397, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.973, predictive_accuracy: 0.9685, prior_entropy: 2.9931, recall: 0.9685, relative_absolute_error: 0.036, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0887, root_relative_squared_error: 0.2684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9972, kappa: 0.9968, kb_relative_information_score: 1076.848, mean_absolute_error: 0.0007, 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: 0.0032, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0264, root_relative_squared_error: 0.0797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9455, kappa: 0.9332, kb_relative_information_score: 1011.6756, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9589, predictive_accuracy: 0.9417, prior_entropy: 2.9931, recall: 0.9417, relative_absolute_error: 0.0668, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1208, root_relative_squared_error: 0.3654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9629, kappa: 0.9565, kb_relative_information_score: 1035.8158, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.966, predictive_accuracy: 0.962, prior_entropy: 2.9931, recall: 0.962, relative_absolute_error: 0.0434, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0974, root_relative_squared_error: 0.2948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5608, kappa: 0.1215, kb_relative_information_score: 199.0435, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2435, prior_entropy: 2.9931, recall: 0.2435, relative_absolute_error: 0.8657, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4349, root_relative_squared_error: 1.3158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9972, kappa: 0.9968, kb_relative_information_score: 1076.848, mean_absolute_error: 0.0007, 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: 0.0032, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0264, root_relative_squared_error: 0.0797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9981, kappa: 0.9979, kb_relative_information_score: 1077.8718, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9982, predictive_accuracy: 0.9981, prior_entropy: 2.9931, recall: 0.9981, relative_absolute_error: 0.0021, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0215, root_relative_squared_error: 0.0651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7554, f_measure: 0.6229, kappa: 0.5136, kb_relative_information_score: 586.915, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8955, predictive_accuracy: 0.5787, prior_entropy: 2.9931, recall: 0.5787, relative_absolute_error: 0.4821, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3245, root_relative_squared_error: 0.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9954, kappa: 0.9947, kb_relative_information_score: 1074.8002, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 2.9931, recall: 0.9954, relative_absolute_error: 0.0053, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.034, root_relative_squared_error: 0.1029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9944, kappa: 0.9936, kb_relative_information_score: 1073.6908, mean_absolute_error: 0.0014, 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: 0.0064, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0373, root_relative_squared_error: 0.1128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5565, kappa: 0.1129, kb_relative_information_score: 190.8525, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2361, prior_entropy: 2.9931, recall: 0.2361, relative_absolute_error: 0.8742, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.437, root_relative_squared_error: 1.3222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5597, kappa: 0.1194, kb_relative_information_score: 196.9958, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2417, prior_entropy: 2.9931, recall: 0.2417, relative_absolute_error: 0.8678, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4354, root_relative_squared_error: 1.3174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5065, kappa: 0.0129, kb_relative_information_score: 95.6314, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.15, prior_entropy: 2.9931, recall: 0.15, relative_absolute_error: 0.9727, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.461, root_relative_squared_error: 1.3948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9669, kappa: 0.9619, kb_relative_information_score: 1042.4182, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9694, predictive_accuracy: 0.9667, prior_entropy: 2.9931, recall: 0.9667, relative_absolute_error: 0.0381, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.2762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9899, kappa: 0.9883, kb_relative_information_score: 1068.4234, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9903, predictive_accuracy: 0.9898, prior_entropy: 2.9931, recall: 0.9898, relative_absolute_error: 0.0117, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0505, root_relative_squared_error: 0.1527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, kappa: 0.0022, kb_relative_information_score: 85.3925, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1407, prior_entropy: 2.9931, recall: 0.1407, relative_absolute_error: 0.9833, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4635, root_relative_squared_error: 1.4024,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5602, kappa: 0.1204, kb_relative_information_score: 198.0196, mean_absolute_error: 0.1894, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2426, prior_entropy: 2.9931, recall: 0.2426, relative_absolute_error: 0.8667, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4351, root_relative_squared_error: 1.3166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6242, f_measure: 0.3545, kappa: 0.2499, kb_relative_information_score: 325.6559, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8856, predictive_accuracy: 0.3528, prior_entropy: 2.9931, recall: 0.3528, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4023, root_relative_squared_error: 1.2171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9944, kappa: 0.9936, kb_relative_information_score: 1073.6908, mean_absolute_error: 0.0014, 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: 0.0064, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0373, root_relative_squared_error: 0.1128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5597, kappa: 0.1194, kb_relative_information_score: 196.9958, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2417, prior_entropy: 2.9931, recall: 0.2417, relative_absolute_error: 0.8678, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4354, root_relative_squared_error: 1.3174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5688, kappa: 0.1377, kb_relative_information_score: 214.6584, mean_absolute_error: 0.1856, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2574, prior_entropy: 2.9931, recall: 0.2574, relative_absolute_error: 0.8498, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4309, root_relative_squared_error: 1.3037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6065, kappa: 0.2141, kb_relative_information_score: 290.4793, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.3222, prior_entropy: 2.9931, recall: 0.3222, relative_absolute_error: 0.7756, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4116, root_relative_squared_error: 1.2455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9954, kappa: 0.9947, kb_relative_information_score: 1074.8002, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 2.9931, recall: 0.9954, relative_absolute_error: 0.0053, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.034, root_relative_squared_error: 0.1029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9981, kappa: 0.9979, kb_relative_information_score: 1077.8718, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9982, predictive_accuracy: 0.9981, prior_entropy: 2.9931, recall: 0.9981, relative_absolute_error: 0.0021, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0215, root_relative_squared_error: 0.0651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9972, kappa: 0.9968, kb_relative_information_score: 1076.848, mean_absolute_error: 0.0007, 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: 0.0032, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0264, root_relative_squared_error: 0.0797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9981, kappa: 0.9979, kb_relative_information_score: 1077.8718, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9982, predictive_accuracy: 0.9981, prior_entropy: 2.9931, recall: 0.9981, relative_absolute_error: 0.0021, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0215, root_relative_squared_error: 0.0651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9802, kappa: 0.9767, kb_relative_information_score: 1056.3551, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9825, predictive_accuracy: 0.9796, prior_entropy: 2.9931, recall: 0.9796, relative_absolute_error: 0.0233, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0714, root_relative_squared_error: 0.2159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5366, kappa: 0.0733, kb_relative_information_score: 153.4821, mean_absolute_error: 0.1995, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2019, prior_entropy: 2.9931, recall: 0.2019, relative_absolute_error: 0.9134, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4467, root_relative_squared_error: 1.3516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9981, kappa: 0.9979, kb_relative_information_score: 1077.8718, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9982, predictive_accuracy: 0.9981, prior_entropy: 2.9931, recall: 0.9981, relative_absolute_error: 0.0021, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0215, root_relative_squared_error: 0.0651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.6497, kappa: 0.5459, kb_relative_information_score: 618.9343, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8973, predictive_accuracy: 0.6065, prior_entropy: 2.9931, recall: 0.6065, relative_absolute_error: 0.4503, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3137, root_relative_squared_error: 0.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9648, kappa: 0.9587, kb_relative_information_score: 1037.9064, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9678, predictive_accuracy: 0.9639, prior_entropy: 2.9931, recall: 0.9639, relative_absolute_error: 0.0413, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.095, root_relative_squared_error: 0.2875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9972, kappa: 0.9968, kb_relative_information_score: 1076.848, mean_absolute_error: 0.0007, 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: 0.0032, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0264, root_relative_squared_error: 0.0797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5156, kappa: 0.0312, kb_relative_information_score: 113.0374, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1657, prior_entropy: 2.9931, recall: 0.1657, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4567, root_relative_squared_error: 1.3818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.988, kappa: 0.9862, kb_relative_information_score: 1066.2242, mean_absolute_error: 0.003, 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: 0.0138, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0549, root_relative_squared_error: 0.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.507, kappa: 0.014, kb_relative_information_score: 96.6552, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1509, prior_entropy: 2.9931, recall: 0.1509, relative_absolute_error: 0.9716, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4607, root_relative_squared_error: 1.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7242, f_measure: 0.5652, kappa: 0.4511, kb_relative_information_score: 524.441, mean_absolute_error: 0.1188, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8925, predictive_accuracy: 0.525, prior_entropy: 2.9931, recall: 0.525, relative_absolute_error: 0.5436, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3446, root_relative_squared_error: 1.0427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9981, kappa: 0.9979, kb_relative_information_score: 1077.8718, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9982, predictive_accuracy: 0.9981, prior_entropy: 2.9931, recall: 0.9981, relative_absolute_error: 0.0021, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0215, root_relative_squared_error: 0.0651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5414, kappa: 0.0831, kb_relative_information_score: 163.0392, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2102, prior_entropy: 2.9931, recall: 0.2102, relative_absolute_error: 0.9038, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4444, root_relative_squared_error: 1.3445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9873, kappa: 0.9852, kb_relative_information_score: 1065.161, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9883, predictive_accuracy: 0.987, prior_entropy: 2.9931, recall: 0.987, relative_absolute_error: 0.0148, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0569, root_relative_squared_error: 0.1722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9944, kappa: 0.9936, kb_relative_information_score: 1073.6908, mean_absolute_error: 0.0014, 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: 0.0064, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0373, root_relative_squared_error: 0.1128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5414, kappa: 0.0831, kb_relative_information_score: 163.0392, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2102, prior_entropy: 2.9931, recall: 0.2102, relative_absolute_error: 0.9038, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4444, root_relative_squared_error: 1.3445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5059, kappa: 0.0118, kb_relative_information_score: 94.6075, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1491, prior_entropy: 2.9931, recall: 0.1491, relative_absolute_error: 0.9738, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4612, root_relative_squared_error: 1.3955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.529, kappa: 0.0581, kb_relative_information_score: 138.8055, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1889, prior_entropy: 2.9931, recall: 0.1889, relative_absolute_error: 0.9282, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4503, root_relative_squared_error: 1.3625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9593, kappa: 0.9523, kb_relative_information_score: 1031.444, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9631, predictive_accuracy: 0.9583, prior_entropy: 2.9931, recall: 0.9583, relative_absolute_error: 0.0477, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1021, root_relative_squared_error: 0.3088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.7504, kappa: 0.6716, kb_relative_information_score: 744.9881, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9066, predictive_accuracy: 0.7148, prior_entropy: 2.9931, recall: 0.7148, relative_absolute_error: 0.3264, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.267, root_relative_squared_error: 0.8079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9696, kappa: 0.965, kb_relative_information_score: 1045.4899, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9715, predictive_accuracy: 0.9694, prior_entropy: 2.9931, recall: 0.9694, relative_absolute_error: 0.035, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.2644,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9846, kappa: 0.982, kb_relative_information_score: 1061.7935, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.986, predictive_accuracy: 0.9843, prior_entropy: 2.9931, recall: 0.9843, relative_absolute_error: 0.018, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0627, root_relative_squared_error: 0.1898,

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