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: 0.6971, kappa: 0.3947, kb_relative_information_score: 466.3922, mean_absolute_error: 0.1313, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.475, prior_entropy: 2.9931, recall: 0.475, relative_absolute_error: 0.6008, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3623, root_relative_squared_error: 1.0962,
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: 0.9681, f_measure: 0.9446, kappa: 0.9364, kb_relative_information_score: 1016.8647, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9481, predictive_accuracy: 0.9444, prior_entropy: 2.9931, recall: 0.9444, relative_absolute_error: 0.0636, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1179, root_relative_squared_error: 0.3566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.9013, kappa: 0.8736, kb_relative_information_score: 951.3546, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9386, predictive_accuracy: 0.8898, prior_entropy: 2.9931, recall: 0.8898, relative_absolute_error: 0.1261, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.166, root_relative_squared_error: 0.5022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9963, kappa: 0.9958, kb_relative_information_score: 1075.7385, 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: 0.9974, 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: 0.9655, f_measure: 0.94, kappa: 0.9311, kb_relative_information_score: 1011.4263, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9439, predictive_accuracy: 0.9398, prior_entropy: 2.9931, recall: 0.9398, relative_absolute_error: 0.0689, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1227, root_relative_squared_error: 0.3711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5667, kappa: 0.1334, kb_relative_information_score: 210.4346, 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: 0.9974, 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: 0.9792, f_measure: 0.9647, 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: 0.9675, 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: 0.5349, kappa: 0.07, kb_relative_information_score: 150.2821, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1991, prior_entropy: 2.9931, recall: 0.1991, relative_absolute_error: 0.9165, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4475, root_relative_squared_error: 1.3539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.7938, kappa: 0.7273, kb_relative_information_score: 801.6931, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9124, predictive_accuracy: 0.763, prior_entropy: 2.9931, recall: 0.763, relative_absolute_error: 0.2713, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2434, root_relative_squared_error: 0.7366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.9144, kappa: 0.8917, kb_relative_information_score: 969.5929, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9438, predictive_accuracy: 0.9056, prior_entropy: 2.9931, recall: 0.9056, relative_absolute_error: 0.1081, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.4649,
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: 0.9974, 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: 0.9974, 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: 0.5387, kappa: 0.0776, kb_relative_information_score: 157.7059, mean_absolute_error: 0.1986, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2056, prior_entropy: 2.9931, recall: 0.2056, relative_absolute_error: 0.9091, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4457, root_relative_squared_error: 1.3484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9778, kappa: 0.9746, kb_relative_information_score: 1054.7904, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9783, predictive_accuracy: 0.9778, prior_entropy: 2.9931, recall: 0.9778, relative_absolute_error: 0.0254, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0745, root_relative_squared_error: 0.2255,
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: 0.9274, f_measure: 0.8889, kappa: 0.8566, kb_relative_information_score: 933.9102, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9342, predictive_accuracy: 0.875, prior_entropy: 2.9931, recall: 0.875, relative_absolute_error: 0.143, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.5349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5802, kappa: 0.1607, kb_relative_information_score: 236.8443, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2769, prior_entropy: 2.9931, recall: 0.2769, relative_absolute_error: 0.8275, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4252, root_relative_squared_error: 1.2865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.9066, kappa: 0.893, kb_relative_information_score: 972.8858, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9138, predictive_accuracy: 0.9065, prior_entropy: 2.9931, recall: 0.9065, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.4626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.8055, kappa: 0.7782, kb_relative_information_score: 854.9595, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8261, predictive_accuracy: 0.8065, prior_entropy: 2.9931, recall: 0.8065, relative_absolute_error: 0.2215, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.22, root_relative_squared_error: 0.6655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9881, kappa: 0.9862, kb_relative_information_score: 1066.1849, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9889, 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: 0.9968, 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: 0.5156, 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: 0.9925, f_measure: 0.9871, kappa: 0.9852, kb_relative_information_score: 1065.1147, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9875, 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: 0.7164, kappa: 0.4335, kb_relative_information_score: 504.8774, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.5083, prior_entropy: 2.9931, recall: 0.5083, relative_absolute_error: 0.5626, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3506, root_relative_squared_error: 1.0608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5833, kappa: 0.1675, kb_relative_information_score: 245.0836, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2824, prior_entropy: 2.9931, recall: 0.2824, relative_absolute_error: 0.8212, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4236, root_relative_squared_error: 1.2816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5086, kappa: 0.0172, kb_relative_information_score: 99.7269, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1537, prior_entropy: 2.9931, recall: 0.1537, relative_absolute_error: 0.9685, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.46, root_relative_squared_error: 1.3917,
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: 0.5113, kappa: 0.0226, kb_relative_information_score: 104.8463, mean_absolute_error: 0.2104, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1583, prior_entropy: 2.9931, recall: 0.1583, relative_absolute_error: 0.9632, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4587, root_relative_squared_error: 1.3879,
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: 0.9979, f_measure: 0.9963, kappa: 0.9958, kb_relative_information_score: 1075.7385, 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: 0.9914, f_measure: 0.9852, kappa: 0.983, kb_relative_information_score: 1063.0242, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9856, predictive_accuracy: 0.9852, prior_entropy: 2.9931, recall: 0.9852, relative_absolute_error: 0.017, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0609, root_relative_squared_error: 0.1841,
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: 0.836, f_measure: 0.7528, kappa: 0.6748, kb_relative_information_score: 748.1881, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9069, predictive_accuracy: 0.7176, prior_entropy: 2.9931, recall: 0.7176, relative_absolute_error: 0.3232, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6177, f_measure: 0.3398, kappa: 0.2369, kb_relative_information_score: 312.8987, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8853, predictive_accuracy: 0.3417, prior_entropy: 2.9931, recall: 0.3417, relative_absolute_error: 0.7534, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4057, root_relative_squared_error: 1.2275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.899, kappa: 0.8704, kb_relative_information_score: 948.1546, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9377, predictive_accuracy: 0.887, prior_entropy: 2.9931, recall: 0.887, relative_absolute_error: 0.1293, 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: 0.9968, 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: 0.9245, f_measure: 0.8685, kappa: 0.8495, kb_relative_information_score: 928.6733, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8771, predictive_accuracy: 0.8685, prior_entropy: 2.9931, recall: 0.8685, relative_absolute_error: 0.1505, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.5486,
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: 0.5597, 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: 0.7529, kappa: 0.5065, kb_relative_information_score: 577.3245, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.5713, prior_entropy: 2.9931, recall: 0.5713, relative_absolute_error: 0.4906, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9511, kappa: 0.9439, kb_relative_information_score: 1024.4365, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9542, predictive_accuracy: 0.9509, prior_entropy: 2.9931, recall: 0.9509, relative_absolute_error: 0.0562, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1108, root_relative_squared_error: 0.3351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5269, kappa: 0.0538, kb_relative_information_score: 134.6245, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1852, prior_entropy: 2.9931, recall: 0.1852, relative_absolute_error: 0.9324, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4513, root_relative_squared_error: 1.3656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.8219, kappa: 0.7963, kb_relative_information_score: 874.1871, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8369, predictive_accuracy: 0.8222, prior_entropy: 2.9931, recall: 0.8222, relative_absolute_error: 0.2034, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.6379,
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: 0.8989, f_measure: 0.8476, kappa: 0.8, kb_relative_information_score: 875.6554, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9227, predictive_accuracy: 0.8259, prior_entropy: 2.9931, recall: 0.8259, relative_absolute_error: 0.1992, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.6312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6742, f_measure: 0.4648, kappa: 0.3506, kb_relative_information_score: 424.7855, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8887, predictive_accuracy: 0.4389, prior_entropy: 2.9931, recall: 0.4389, relative_absolute_error: 0.6421, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3745, root_relative_squared_error: 1.1332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5688, kappa: 0.1383, kb_relative_information_score: 216.6688, 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: 0.9792, f_measure: 0.9647, 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: 0.9675, 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: 0.5597, 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: 0.7543, f_measure: 0.621, kappa: 0.5115, kb_relative_information_score: 584.7816, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8954, predictive_accuracy: 0.5769, prior_entropy: 2.9931, recall: 0.5769, relative_absolute_error: 0.4842, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.9841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7278, kappa: 0.4561, kb_relative_information_score: 527.2344, mean_absolute_error: 0.1181, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.5278, prior_entropy: 2.9931, recall: 0.5278, relative_absolute_error: 0.5404, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3436, root_relative_squared_error: 1.0396,
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: 0.7132, kappa: 0.4271, kb_relative_information_score: 498.4775, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.5028, prior_entropy: 2.9931, recall: 0.5028, relative_absolute_error: 0.569, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3526, root_relative_squared_error: 1.0668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5113, kappa: 0.0226, kb_relative_information_score: 104.8463, mean_absolute_error: 0.2104, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1583, prior_entropy: 2.9931, recall: 0.1583, relative_absolute_error: 0.9632, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4587, root_relative_squared_error: 1.3879,
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: 0.5398, kappa: 0.0798, kb_relative_information_score: 159.8393, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2074, prior_entropy: 2.9931, recall: 0.2074, relative_absolute_error: 0.907, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4451, root_relative_squared_error: 1.3469,
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: 0.949, f_measure: 0.9112, kappa: 0.8983, kb_relative_information_score: 978.3242, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9191, predictive_accuracy: 0.9111, prior_entropy: 2.9931, recall: 0.9111, relative_absolute_error: 0.1017, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.451,
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: 0.9059, f_measure: 0.858, kappa: 0.8139, kb_relative_information_score: 890.1102, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9252, predictive_accuracy: 0.838, prior_entropy: 2.9931, recall: 0.838, relative_absolute_error: 0.1854, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.609,
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: 0.5274, 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: 0.5597, 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: 0.7652, f_measure: 0.5417, kappa: 0.5311, kb_relative_information_score: 602.0252, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.7227, predictive_accuracy: 0.5926, prior_entropy: 2.9931, recall: 0.5926, relative_absolute_error: 0.4662, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3191, root_relative_squared_error: 0.9656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.9298, kappa: 0.9195, kb_relative_information_score: 999.7162, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9349, predictive_accuracy: 0.9296, prior_entropy: 2.9931, recall: 0.9296, relative_absolute_error: 0.0805, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1326, root_relative_squared_error: 0.4013,
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: 0.9989, 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: 0.5065, 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: 0.9974, 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: 0.9776, f_measure: 0.962, kappa: 0.9555, kb_relative_information_score: 1034.7492, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9653, predictive_accuracy: 0.9611, prior_entropy: 2.9931, recall: 0.9611, relative_absolute_error: 0.0445, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0986, root_relative_squared_error: 0.2983,
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: 0.9984, 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: 0.9788, f_measure: 0.9632, kappa: 0.9576, kb_relative_information_score: 1038.132, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9652, predictive_accuracy: 0.963, prior_entropy: 2.9931, recall: 0.963, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0962, root_relative_squared_error: 0.2911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9963, kappa: 0.9958, kb_relative_information_score: 1075.8241, mean_absolute_error: 0.0009, 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: 0.0042, 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: 0.9452, f_measure: 0.9047, kappa: 0.8908, kb_relative_information_score: 970.8576, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9109, predictive_accuracy: 0.9046, prior_entropy: 2.9931, recall: 0.9046, relative_absolute_error: 0.1091, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1544, root_relative_squared_error: 0.4672,
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: 0.5823, kappa: 0.1654, kb_relative_information_score: 242.993, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2806, prior_entropy: 2.9931, recall: 0.2806, relative_absolute_error: 0.8233, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4241, root_relative_squared_error: 1.2832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8737, f_measure: 0.7783, kappa: 0.7483, kb_relative_information_score: 824.3373, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8077, predictive_accuracy: 0.7806, prior_entropy: 2.9931, recall: 0.7806, relative_absolute_error: 0.2511, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2342, root_relative_squared_error: 0.7087,
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: 0.6968, f_measure: 0.5118, kappa: 0.396, kb_relative_information_score: 469.7099, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8903, predictive_accuracy: 0.4778, prior_entropy: 2.9931, recall: 0.4778, relative_absolute_error: 0.5976, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3613, root_relative_squared_error: 1.0933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6261, kappa: 0.2529, kb_relative_information_score: 326.6574, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.3546, prior_entropy: 2.9931, recall: 0.3546, relative_absolute_error: 0.7385, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4017, root_relative_squared_error: 1.2154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.899, kappa: 0.8704, kb_relative_information_score: 948.1546, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9377, predictive_accuracy: 0.887, prior_entropy: 2.9931, recall: 0.887, relative_absolute_error: 0.1293, 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: 0.9926, 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: 0.7806, f_measure: 0.6655, kappa: 0.5642, kb_relative_information_score: 637.3402, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8984, predictive_accuracy: 0.6222, prior_entropy: 2.9931, recall: 0.6222, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.9299,
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: 0.9984, 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: 0.521, kappa: 0.0419, kb_relative_information_score: 123.2762, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.175, prior_entropy: 2.9931, recall: 0.175, relative_absolute_error: 0.9441, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4541, root_relative_squared_error: 1.3741,
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: 0.5081, kappa: 0.0161, kb_relative_information_score: 98.703, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1528, prior_entropy: 2.9931, recall: 0.1528, relative_absolute_error: 0.9695, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4602, root_relative_squared_error: 1.3925,
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: 0.5597, 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: 0.5597, 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: 0.982, 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: 0.5824, kappa: 0.1651, kb_relative_information_score: 241.1537, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2806, prior_entropy: 2.9931, recall: 0.2806, relative_absolute_error: 0.8233, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4241, root_relative_squared_error: 1.2832,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs