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: 0.9984, 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: 0.9968, 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: 0.9941, f_measure: 0.9898, kappa: 0.9883, kb_relative_information_score: 1068.3147, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.99, 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: 0.5597, 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: 0.9957, f_measure: 0.9926, kappa: 0.9915, kb_relative_information_score: 1071.4719, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9927, 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: 0.9974, 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: 0.9915, f_measure: 0.9855, kappa: 0.983, kb_relative_information_score: 1062.9653, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9868, 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: 0.8871, f_measure: 0.8302, kappa: 0.7765, kb_relative_information_score: 851.6007, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.919, predictive_accuracy: 0.8056, prior_entropy: 2.9931, recall: 0.8056, relative_absolute_error: 0.2225, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.6671,
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: 0.5258, kappa: 0.0516, kb_relative_information_score: 132.5767, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1833, prior_entropy: 2.9931, recall: 0.1833, relative_absolute_error: 0.9346, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4518, root_relative_squared_error: 1.3672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9855, kappa: 0.983, kb_relative_information_score: 1062.9653, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9868, 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: 0.5764, kappa: 0.153, kb_relative_information_score: 229.4633, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2704, prior_entropy: 2.9931, recall: 0.2704, relative_absolute_error: 0.835, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4271, root_relative_squared_error: 1.2923,
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: 0.9979, 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: 0.9884, 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: 0.9005, f_measure: 0.8503, kappa: 0.8033, kb_relative_information_score: 879.1709, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9233, predictive_accuracy: 0.8287, prior_entropy: 2.9931, recall: 0.8287, relative_absolute_error: 0.196, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.6261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.8565, kappa: 0.8118, kb_relative_information_score: 887.8717, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9248, predictive_accuracy: 0.8361, prior_entropy: 2.9931, recall: 0.8361, relative_absolute_error: 0.1875, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2024, root_relative_squared_error: 0.6125,
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: 0.9787, f_measure: 0.9638, kappa: 0.9576, kb_relative_information_score: 1036.8397, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9667, 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: 0.9984, 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: 0.8468, f_measure: 0.7697, kappa: 0.6962, kb_relative_information_score: 769.9615, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.909, predictive_accuracy: 0.7361, prior_entropy: 2.9931, recall: 0.7361, relative_absolute_error: 0.302, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.7772,
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 - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.9029, 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: 0.9093, 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: 0.7129, f_measure: 0.5435, kappa: 0.4284, kb_relative_information_score: 501.8968, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8916, predictive_accuracy: 0.5056, prior_entropy: 2.9931, recall: 0.5056, relative_absolute_error: 0.5658, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3516, root_relative_squared_error: 1.0638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.9082, kappa: 0.8832, kb_relative_information_score: 960.9545, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9412, predictive_accuracy: 0.8981, prior_entropy: 2.9931, recall: 0.8981, relative_absolute_error: 0.1166, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.4828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6305, kappa: 0.2616, kb_relative_information_score: 335.2334, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.362, prior_entropy: 2.9931, recall: 0.362, relative_absolute_error: 0.7301, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3994, root_relative_squared_error: 1.2084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.901, kappa: 0.8866, kb_relative_information_score: 966.5714, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9078, predictive_accuracy: 0.9009, prior_entropy: 2.9931, recall: 0.9009, relative_absolute_error: 0.1134, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.4762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5527, kappa: 0.1058, kb_relative_information_score: 184.9685, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2296, prior_entropy: 2.9931, recall: 0.2296, relative_absolute_error: 0.8816, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.3278,
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: 0.9661, 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: 0.9914, 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: 0.5597, 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: 0.993, f_measure: 0.988, kappa: 0.9862, kb_relative_information_score: 1066.1814, 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: 0.9689, f_measure: 0.949, kappa: 0.9385, kb_relative_information_score: 1017.5775, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9582, predictive_accuracy: 0.9463, prior_entropy: 2.9931, recall: 0.9463, relative_absolute_error: 0.0615, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1159, root_relative_squared_error: 0.3506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9898, kappa: 0.9883, kb_relative_information_score: 1068.3147, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.99, 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: 0.9792, 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: 0.9931, 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: 0.9989, 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: 0.5145, 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: 0.5597, 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: 0.984, f_measure: 0.9723, kappa: 0.9682, kb_relative_information_score: 1048.5615, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9732, 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: 0.7145, f_measure: 0.5461, kappa: 0.4316, kb_relative_information_score: 505.054, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8917, 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: 0.9974, 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: 0.5597, 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: 0.9974, 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: 0.5597, 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: 0.8406, f_measure: 0.7088, kappa: 0.682, kb_relative_information_score: 754.9051, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.7742, predictive_accuracy: 0.7231, prior_entropy: 2.9931, recall: 0.7231, relative_absolute_error: 0.3168, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5629, kappa: 0.1258, kb_relative_information_score: 203.1818, mean_absolute_error: 0.1882, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2472, prior_entropy: 2.9931, recall: 0.2472, relative_absolute_error: 0.8614, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4338, root_relative_squared_error: 1.3126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7304, kappa: 0.4615, kb_relative_information_score: 532.5677, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.5324, prior_entropy: 2.9931, recall: 0.5324, relative_absolute_error: 0.5351, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3419, root_relative_squared_error: 1.0345,
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: 0.9942, 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: 0.9905, 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: 0.9979, 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: 0.6215, f_measure: 0.3479, kappa: 0.2445, kb_relative_information_score: 320.3226, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8855, predictive_accuracy: 0.3481, prior_entropy: 2.9931, recall: 0.3481, relative_absolute_error: 0.746, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.2214,
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: 0.9925, 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: 0.9979, 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: 0.9984, 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: 0.7497, kappa: 0.5001, kb_relative_information_score: 571.0102, mean_absolute_error: 0.1086, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.5657, prior_entropy: 2.9931, recall: 0.5657, relative_absolute_error: 0.4969, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.9969,
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: 0.9825, f_measure: 0.9704, kappa: 0.965, kb_relative_information_score: 1044.4115, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9737, 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 - area_under_roc_curve: 0.5758, kappa: 0.1524, kb_relative_information_score: 230.2787, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2694, prior_entropy: 2.9931, recall: 0.2694, relative_absolute_error: 0.836, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4274, root_relative_squared_error: 1.2931,
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: 0.9974, 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: 0.5059, 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: 0.9925, 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: 0.9968, 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: 0.9878, f_measure: 0.9792, kappa: 0.9756, kb_relative_information_score: 1055.2884, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9813, predictive_accuracy: 0.9787, prior_entropy: 2.9931, recall: 0.9787, relative_absolute_error: 0.0244, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.073, root_relative_squared_error: 0.2208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9576, kappa: 0.9502, kb_relative_information_score: 1029.3107, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9617, predictive_accuracy: 0.9565, prior_entropy: 2.9931, recall: 0.9565, relative_absolute_error: 0.0498, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1043, root_relative_squared_error: 0.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5403, kappa: 0.0809, kb_relative_information_score: 160.9059, mean_absolute_error: 0.1979, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2083, prior_entropy: 2.9931, recall: 0.2083, relative_absolute_error: 0.906, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4449, root_relative_squared_error: 1.3461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9696, kappa: 0.965, kb_relative_information_score: 1045.5326, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.971, 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 - 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: 0.9968, 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: 0.5344, kappa: 0.0689, kb_relative_information_score: 149.2582, mean_absolute_error: 0.2005, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1981, prior_entropy: 2.9931, recall: 0.1981, relative_absolute_error: 0.9176, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4477, root_relative_squared_error: 1.3547,
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: 0.9989, 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: 0.9974, 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: 0.9946, f_measure: 0.9908, kappa: 0.9894, kb_relative_information_score: 1069.3814, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9909, predictive_accuracy: 0.9907, prior_entropy: 2.9931, recall: 0.9907, relative_absolute_error: 0.0106, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0481, root_relative_squared_error: 0.1456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.5538, kappa: 0.4402, kb_relative_information_score: 513.5641, mean_absolute_error: 0.1211, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8921, predictive_accuracy: 0.5157, prior_entropy: 2.9931, recall: 0.5157, relative_absolute_error: 0.5542, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3479, root_relative_squared_error: 1.0528,
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: 0.7973, f_measure: 0.6916, kappa: 0.5975, kb_relative_information_score: 670.4458, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9006, predictive_accuracy: 0.6509, prior_entropy: 2.9931, recall: 0.6509, relative_absolute_error: 0.3995, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.8938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.8935, kappa: 0.863, kb_relative_information_score: 940.4153, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9358, predictive_accuracy: 0.8806, prior_entropy: 2.9931, recall: 0.8806, relative_absolute_error: 0.1367, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.5229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9766, kappa: 0.9724, kb_relative_information_score: 1052.0884, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9793, predictive_accuracy: 0.9759, prior_entropy: 2.9931, recall: 0.9759, relative_absolute_error: 0.0275, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0776, root_relative_squared_error: 0.2347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7919, f_measure: 0.6829, kappa: 0.5867, kb_relative_information_score: 659.6741, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8999, predictive_accuracy: 0.6417, prior_entropy: 2.9931, recall: 0.6417, relative_absolute_error: 0.4101, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.9056,
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: 0.5387, 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: 0.6269, f_measure: 0.3612, kappa: 0.2553, kb_relative_information_score: 330.9891, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8858, predictive_accuracy: 0.3574, prior_entropy: 2.9931, recall: 0.3574, relative_absolute_error: 0.7354, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4008, root_relative_squared_error: 1.2127,
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: 0.9942, 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: 0.5694, kappa: 0.1389, kb_relative_information_score: 215.6395, mean_absolute_error: 0.1854, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2583, prior_entropy: 2.9931, recall: 0.2583, relative_absolute_error: 0.8487, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4306, root_relative_squared_error: 1.3029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5253, kappa: 0.0506, kb_relative_information_score: 131.5528, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1824, prior_entropy: 2.9931, recall: 0.1824, relative_absolute_error: 0.9356, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4521, root_relative_squared_error: 1.3679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7342, kappa: 0.469, kb_relative_information_score: 540.0343, mean_absolute_error: 0.1153, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.5389, prior_entropy: 2.9931, recall: 0.5389, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3395, root_relative_squared_error: 1.0273,
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: 0.5059, 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,

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