Task
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: 0.9904, f_measure: 0.8649, kappa: 0.8453, kb_relative_information_score: 904.1657, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8666, predictive_accuracy: 0.8648, prior_entropy: 2.9931, recall: 0.8648, relative_absolute_error: 0.2425, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.154, root_relative_squared_error: 0.4659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.897, kappa: 0.8824, kb_relative_information_score: 847.8046, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8975, predictive_accuracy: 0.8972, prior_entropy: 2.9931, recall: 0.8972, relative_absolute_error: 0.3561, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.4928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9824, kappa: 0.9799, kb_relative_information_score: 928.7234, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9825, predictive_accuracy: 0.9824, prior_entropy: 2.9931, recall: 0.9824, relative_absolute_error: 0.2639, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1186, root_relative_squared_error: 0.3588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9344, kappa: 0.9248, kb_relative_information_score: 824.6256, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9354, predictive_accuracy: 0.9343, prior_entropy: 2.9931, recall: 0.9343, relative_absolute_error: 0.4087, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.5077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9805, kappa: 0.9777, kb_relative_information_score: 829.3823, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9807, predictive_accuracy: 0.9806, prior_entropy: 2.9931, recall: 0.9806, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.4788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9834, kappa: 0.9809, kb_relative_information_score: 888.5172, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9834, predictive_accuracy: 0.9833, prior_entropy: 2.9931, recall: 0.9833, relative_absolute_error: 0.3272, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1366, root_relative_squared_error: 0.4135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9501, kappa: 0.9428, kb_relative_information_score: 931.7754, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9503, predictive_accuracy: 0.95, prior_entropy: 2.9931, recall: 0.95, relative_absolute_error: 0.2428, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1255, root_relative_squared_error: 0.3797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.962, kappa: 0.9566, kb_relative_information_score: 931.4746, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9622, predictive_accuracy: 0.962, prior_entropy: 2.9931, recall: 0.962, relative_absolute_error: 0.2489, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.3716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9557, kappa: 0.9491, kb_relative_information_score: 849.5003, mean_absolute_error: 0.0824, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9562, predictive_accuracy: 0.9556, prior_entropy: 2.9931, recall: 0.9556, relative_absolute_error: 0.3771, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.4747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9843, kappa: 0.982, kb_relative_information_score: 882.4736, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9844, predictive_accuracy: 0.9843, prior_entropy: 2.9931, recall: 0.9843, relative_absolute_error: 0.3382, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1371, root_relative_squared_error: 0.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9787, kappa: 0.9756, kb_relative_information_score: 791.3802, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9788, predictive_accuracy: 0.9787, prior_entropy: 2.9931, recall: 0.9787, relative_absolute_error: 0.4677, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.5227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9206, kappa: 0.9089, kb_relative_information_score: 961.884, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9211, predictive_accuracy: 0.9204, prior_entropy: 2.9931, recall: 0.9204, relative_absolute_error: 0.1789, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1204, root_relative_squared_error: 0.3643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9593, kappa: 0.9534, kb_relative_information_score: 837.0447, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9595, predictive_accuracy: 0.9593, prior_entropy: 2.9931, recall: 0.9593, relative_absolute_error: 0.3963, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1606, root_relative_squared_error: 0.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9685, kappa: 0.964, kb_relative_information_score: 943.5419, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9686, predictive_accuracy: 0.9685, prior_entropy: 2.9931, recall: 0.9685, relative_absolute_error: 0.2322, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1168, root_relative_squared_error: 0.3535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9883, kb_relative_information_score: 925.5382, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9899, predictive_accuracy: 0.9898, prior_entropy: 2.9931, recall: 0.9898, relative_absolute_error: 0.2705, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1186, root_relative_squared_error: 0.3589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9519, kappa: 0.9449, kb_relative_information_score: 776.8808, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9525, predictive_accuracy: 0.9519, prior_entropy: 2.9931, recall: 0.9519, relative_absolute_error: 0.4793, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.5499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9546, kappa: 0.9481, kb_relative_information_score: 684.5578, mean_absolute_error: 0.129, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9547, predictive_accuracy: 0.9546, prior_entropy: 2.9931, recall: 0.9546, relative_absolute_error: 0.5904, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9131, kappa: 0.9004, kb_relative_information_score: 847.3629, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9135, predictive_accuracy: 0.913, prior_entropy: 2.9931, recall: 0.913, relative_absolute_error: 0.3687, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.162, root_relative_squared_error: 0.4903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9318, kappa: 0.9216, kb_relative_information_score: 761.3197, mean_absolute_error: 0.1074, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9331, predictive_accuracy: 0.9315, prior_entropy: 2.9931, recall: 0.9315, relative_absolute_error: 0.4915, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.5669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.8901, kappa: 0.8739, kb_relative_information_score: 881.1593, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8913, predictive_accuracy: 0.8898, prior_entropy: 2.9931, recall: 0.8898, relative_absolute_error: 0.3062, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.4635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.8762, kappa: 0.858, kb_relative_information_score: 771.3452, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8787, predictive_accuracy: 0.8759, prior_entropy: 2.9931, recall: 0.8759, relative_absolute_error: 0.4627, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.5695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.879, kappa: 0.8611, kb_relative_information_score: 825.9887, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8802, predictive_accuracy: 0.8787, prior_entropy: 2.9931, recall: 0.8787, relative_absolute_error: 0.3872, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1736, root_relative_squared_error: 0.5252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9499, kappa: 0.9428, kb_relative_information_score: 802.6627, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9503, predictive_accuracy: 0.95, prior_entropy: 2.9931, recall: 0.95, relative_absolute_error: 0.4432, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.5255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9649, kappa: 0.9597, kb_relative_information_score: 882.1649, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9652, predictive_accuracy: 0.9648, prior_entropy: 2.9931, recall: 0.9648, relative_absolute_error: 0.3296, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1432, root_relative_squared_error: 0.4333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9778, kappa: 0.9746, kb_relative_information_score: 909.8601, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9779, predictive_accuracy: 0.9778, prior_entropy: 2.9931, recall: 0.9778, relative_absolute_error: 0.2927, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1282, root_relative_squared_error: 0.3879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9741, kappa: 0.9703, kb_relative_information_score: 855.9972, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9742, predictive_accuracy: 0.9741, prior_entropy: 2.9931, recall: 0.9741, relative_absolute_error: 0.3747, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1495, root_relative_squared_error: 0.4525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.8798, kappa: 0.8622, kb_relative_information_score: 927.0587, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8812, predictive_accuracy: 0.8796, prior_entropy: 2.9931, recall: 0.8796, relative_absolute_error: 0.2093, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.4352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.866, kappa: 0.8463, kb_relative_information_score: 792.2526, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8677, predictive_accuracy: 0.8657, prior_entropy: 2.9931, recall: 0.8657, relative_absolute_error: 0.4393, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.5553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9917, kappa: 0.9905, kb_relative_information_score: 896.7633, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9918, predictive_accuracy: 0.9917, prior_entropy: 2.9931, recall: 0.9917, relative_absolute_error: 0.3196, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1283, root_relative_squared_error: 0.3882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9722, kappa: 0.9682, kb_relative_information_score: 916.0805, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9723, predictive_accuracy: 0.9722, prior_entropy: 2.9931, recall: 0.9722, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1268, root_relative_squared_error: 0.3836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.8677, kappa: 0.8485, kb_relative_information_score: 907.8588, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8682, predictive_accuracy: 0.8676, prior_entropy: 2.9931, recall: 0.8676, relative_absolute_error: 0.2414, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1504, root_relative_squared_error: 0.4552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9473, kappa: 0.9396, kb_relative_information_score: 875.7215, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9477, predictive_accuracy: 0.9472, prior_entropy: 2.9931, recall: 0.9472, relative_absolute_error: 0.33, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1477, root_relative_squared_error: 0.4469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.8761, kappa: 0.858, kb_relative_information_score: 797.454, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8772, predictive_accuracy: 0.8759, prior_entropy: 2.9931, recall: 0.8759, relative_absolute_error: 0.4268, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.8587, kappa: 0.8378, kb_relative_information_score: 775.5285, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8612, predictive_accuracy: 0.8583, prior_entropy: 2.9931, recall: 0.8583, relative_absolute_error: 0.4547, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9815, kappa: 0.9788, kb_relative_information_score: 908.0238, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9816, predictive_accuracy: 0.9815, prior_entropy: 2.9931, recall: 0.9815, relative_absolute_error: 0.2976, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1279, root_relative_squared_error: 0.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9131, kappa: 0.9004, kb_relative_information_score: 659.1674, mean_absolute_error: 0.1341, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9139, predictive_accuracy: 0.913, prior_entropy: 2.9931, recall: 0.913, relative_absolute_error: 0.614, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.22, root_relative_squared_error: 0.6657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9353, kappa: 0.9258, kb_relative_information_score: 853.5732, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9358, predictive_accuracy: 0.9352, prior_entropy: 2.9931, recall: 0.9352, relative_absolute_error: 0.3649, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.4777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.7738, kappa: 0.7415, kb_relative_information_score: 809.1845, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.7749, predictive_accuracy: 0.7741, prior_entropy: 2.9931, recall: 0.7741, relative_absolute_error: 0.3541, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.5922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.7827, kappa: 0.751, kb_relative_information_score: 822.413, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.7837, predictive_accuracy: 0.7824, prior_entropy: 2.9931, recall: 0.7824, relative_absolute_error: 0.3378, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.191, root_relative_squared_error: 0.5779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9067, kappa: 0.8929, kb_relative_information_score: 495.6247, mean_absolute_error: 0.1666, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9099, predictive_accuracy: 0.9065, prior_entropy: 2.9931, recall: 0.9065, relative_absolute_error: 0.7627, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2598, root_relative_squared_error: 0.7862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.935, kappa: 0.9258, kb_relative_information_score: 914.8606, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9351, predictive_accuracy: 0.9352, prior_entropy: 2.9931, recall: 0.9352, relative_absolute_error: 0.2653, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1345, root_relative_squared_error: 0.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.962, kappa: 0.9566, kb_relative_information_score: 929.4138, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9621, predictive_accuracy: 0.962, prior_entropy: 2.9931, recall: 0.962, relative_absolute_error: 0.254, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1231, root_relative_squared_error: 0.3724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9787, kappa: 0.9756, kb_relative_information_score: 881.2122, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9788, predictive_accuracy: 0.9787, prior_entropy: 2.9931, recall: 0.9787, relative_absolute_error: 0.3385, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.4216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9731, kappa: 0.9693, kb_relative_information_score: 790.7144, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9732, predictive_accuracy: 0.9731, prior_entropy: 2.9931, recall: 0.9731, relative_absolute_error: 0.465, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.5246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.8276, kappa: 0.8018, kb_relative_information_score: 870.1185, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8319, predictive_accuracy: 0.8269, prior_entropy: 2.9931, recall: 0.8269, relative_absolute_error: 0.2681, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.5329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9815, kappa: 0.9788, kb_relative_information_score: 911.4275, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9817, predictive_accuracy: 0.9815, prior_entropy: 2.9931, recall: 0.9815, relative_absolute_error: 0.2943, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1244, root_relative_squared_error: 0.3764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9861, kappa: 0.9841, kb_relative_information_score: 928.7596, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9862, predictive_accuracy: 0.9861, prior_entropy: 2.9931, recall: 0.9861, relative_absolute_error: 0.2658, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1181, root_relative_squared_error: 0.3572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9842, kappa: 0.982, kb_relative_information_score: 780.8518, mean_absolute_error: 0.1059, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9843, predictive_accuracy: 0.9843, prior_entropy: 2.9931, recall: 0.9843, relative_absolute_error: 0.4846, 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: 0.9996, f_measure: 0.9852, kappa: 0.983, kb_relative_information_score: 875.179, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9853, predictive_accuracy: 0.9852, prior_entropy: 2.9931, recall: 0.9852, relative_absolute_error: 0.3515, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1395, root_relative_squared_error: 0.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.963, kappa: 0.9576, kb_relative_information_score: 723.4888, mean_absolute_error: 0.1195, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9632, predictive_accuracy: 0.963, prior_entropy: 2.9931, recall: 0.963, relative_absolute_error: 0.5469, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.6006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9398, kappa: 0.9311, kb_relative_information_score: 949.1194, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9401, predictive_accuracy: 0.9398, prior_entropy: 2.9931, recall: 0.9398, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.3648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.8354, kappa: 0.8114, kb_relative_information_score: 834.4728, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8361, predictive_accuracy: 0.8352, prior_entropy: 2.9931, recall: 0.8352, relative_absolute_error: 0.3503, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.5367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9824, kappa: 0.9799, kb_relative_information_score: 895.0511, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9826, predictive_accuracy: 0.9824, prior_entropy: 2.9931, recall: 0.9824, relative_absolute_error: 0.3207, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.3942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.8962, kappa: 0.8813, kb_relative_information_score: 748.1804, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.899, predictive_accuracy: 0.8963, prior_entropy: 2.9931, recall: 0.8963, relative_absolute_error: 0.5055, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.5902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9824, kappa: 0.9799, kb_relative_information_score: 931.0116, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9825, predictive_accuracy: 0.9824, prior_entropy: 2.9931, recall: 0.9824, relative_absolute_error: 0.261, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.117, root_relative_squared_error: 0.3539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9141, kappa: 0.9014, kb_relative_information_score: 839.0427, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.915, predictive_accuracy: 0.9139, prior_entropy: 2.9931, recall: 0.9139, relative_absolute_error: 0.3817, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.4995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.8916, kappa: 0.876, kb_relative_information_score: 847.4964, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8922, predictive_accuracy: 0.8917, prior_entropy: 2.9931, recall: 0.8917, relative_absolute_error: 0.3635, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.4948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9833, kappa: 0.9809, kb_relative_information_score: 872.521, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9835, predictive_accuracy: 0.9833, prior_entropy: 2.9931, recall: 0.9833, relative_absolute_error: 0.3519, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1422, root_relative_squared_error: 0.4304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.8949, kappa: 0.8792, kb_relative_information_score: 779.699, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.897, predictive_accuracy: 0.8944, prior_entropy: 2.9931, recall: 0.8944, relative_absolute_error: 0.4619, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9456, kappa: 0.9375, kb_relative_information_score: 844.2284, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9462, predictive_accuracy: 0.9454, prior_entropy: 2.9931, recall: 0.9454, relative_absolute_error: 0.3807, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1604, root_relative_squared_error: 0.4854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9713, kappa: 0.9672, kb_relative_information_score: 839.4099, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9716, predictive_accuracy: 0.9713, prior_entropy: 2.9931, recall: 0.9713, relative_absolute_error: 0.3967, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.4742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9658, kappa: 0.9608, kb_relative_information_score: 840.6663, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9659, predictive_accuracy: 0.9657, prior_entropy: 2.9931, recall: 0.9657, relative_absolute_error: 0.3902, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.4778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.838, kappa: 0.8146, kb_relative_information_score: 880.1957, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8383, predictive_accuracy: 0.838, prior_entropy: 2.9931, recall: 0.838, relative_absolute_error: 0.2452, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1742, root_relative_squared_error: 0.5271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.8457, kappa: 0.823, kb_relative_information_score: 858.4394, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8472, predictive_accuracy: 0.8454, prior_entropy: 2.9931, recall: 0.8454, relative_absolute_error: 0.3232, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9648, kappa: 0.9597, kb_relative_information_score: 831.8667, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.965, predictive_accuracy: 0.9648, prior_entropy: 2.9931, recall: 0.9648, relative_absolute_error: 0.405, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.4906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9843, kappa: 0.982, kb_relative_information_score: 920.8543, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9844, predictive_accuracy: 0.9843, prior_entropy: 2.9931, recall: 0.9843, relative_absolute_error: 0.277, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1221, root_relative_squared_error: 0.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9883, kb_relative_information_score: 930.8437, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9899, predictive_accuracy: 0.9898, prior_entropy: 2.9931, recall: 0.9898, relative_absolute_error: 0.2613, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1165, root_relative_squared_error: 0.3524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9603, kappa: 0.9544, kb_relative_information_score: 904.1644, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9607, predictive_accuracy: 0.9602, prior_entropy: 2.9931, recall: 0.9602, relative_absolute_error: 0.2922, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1354, root_relative_squared_error: 0.4098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.865, kappa: 0.8452, kb_relative_information_score: 805.3518, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8665, predictive_accuracy: 0.8648, prior_entropy: 2.9931, recall: 0.8648, relative_absolute_error: 0.4087, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.181, root_relative_squared_error: 0.5476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9602, kappa: 0.9544, kb_relative_information_score: 837.0541, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9605, predictive_accuracy: 0.9602, prior_entropy: 2.9931, recall: 0.9602, relative_absolute_error: 0.3929, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.16, root_relative_squared_error: 0.4842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9253, kappa: 0.9142, kb_relative_information_score: 860.6872, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.926, predictive_accuracy: 0.925, prior_entropy: 2.9931, recall: 0.925, relative_absolute_error: 0.3458, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1564, root_relative_squared_error: 0.4732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9029, kappa: 0.8887, kb_relative_information_score: 778.6059, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9038, predictive_accuracy: 0.9028, prior_entropy: 2.9931, recall: 0.9028, relative_absolute_error: 0.461, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9481, kappa: 0.9407, kb_relative_information_score: 893.0361, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9484, predictive_accuracy: 0.9481, prior_entropy: 2.9931, recall: 0.9481, relative_absolute_error: 0.3034, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9031, kappa: 0.8887, kb_relative_information_score: 673.8015, mean_absolute_error: 0.1296, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9053, predictive_accuracy: 0.9028, prior_entropy: 2.9931, recall: 0.9028, relative_absolute_error: 0.5934, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.6509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9787, kappa: 0.9756, kb_relative_information_score: 878.6527, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9787, predictive_accuracy: 0.9787, prior_entropy: 2.9931, recall: 0.9787, relative_absolute_error: 0.3414, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1402, root_relative_squared_error: 0.4243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.952, kappa: 0.9449, kb_relative_information_score: 866.2533, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9528, predictive_accuracy: 0.9519, prior_entropy: 2.9931, recall: 0.9519, relative_absolute_error: 0.3518, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1505, root_relative_squared_error: 0.4555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.8864, kappa: 0.8695, kb_relative_information_score: 465.5218, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8919, predictive_accuracy: 0.8861, prior_entropy: 2.9931, recall: 0.8861, relative_absolute_error: 0.7843, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2666, root_relative_squared_error: 0.8066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9769, kappa: 0.9735, kb_relative_information_score: 938.3797, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.977, predictive_accuracy: 0.9769, prior_entropy: 2.9931, recall: 0.9769, relative_absolute_error: 0.2437, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1168, root_relative_squared_error: 0.3535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9704, kappa: 0.9661, kb_relative_information_score: 863.0492, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9705, predictive_accuracy: 0.9704, prior_entropy: 2.9931, recall: 0.9704, relative_absolute_error: 0.3629, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1487, root_relative_squared_error: 0.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.938, kappa: 0.929, kb_relative_information_score: 865.8654, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9384, predictive_accuracy: 0.938, prior_entropy: 2.9931, recall: 0.938, relative_absolute_error: 0.344, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.4593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9299, kappa: 0.9195, kb_relative_information_score: 695.2147, mean_absolute_error: 0.1254, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9313, predictive_accuracy: 0.9296, prior_entropy: 2.9931, recall: 0.9296, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.6283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9611, kappa: 0.9555, kb_relative_information_score: 944.868, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9615, predictive_accuracy: 0.9611, prior_entropy: 2.9931, recall: 0.9611, relative_absolute_error: 0.2271, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1172, root_relative_squared_error: 0.3547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.8613, kappa: 0.841, kb_relative_information_score: 793.2487, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8629, predictive_accuracy: 0.8611, prior_entropy: 2.9931, recall: 0.8611, relative_absolute_error: 0.4288, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.5532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9649, kappa: 0.9597, kb_relative_information_score: 870.9572, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9653, predictive_accuracy: 0.9648, prior_entropy: 2.9931, recall: 0.9648, relative_absolute_error: 0.3444, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1473, root_relative_squared_error: 0.4458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9455, kappa: 0.9375, kb_relative_information_score: 657.9312, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.946, predictive_accuracy: 0.9454, prior_entropy: 2.9931, recall: 0.9454, relative_absolute_error: 0.6183, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.6622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9861, kappa: 0.9841, kb_relative_information_score: 920.8855, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9862, predictive_accuracy: 0.9861, prior_entropy: 2.9931, recall: 0.9861, relative_absolute_error: 0.2756, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1223, root_relative_squared_error: 0.3701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.8991, kappa: 0.8845, kb_relative_information_score: 706.721, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9025, predictive_accuracy: 0.8991, prior_entropy: 2.9931, recall: 0.8991, relative_absolute_error: 0.5586, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.207, root_relative_squared_error: 0.6262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9824, kappa: 0.9799, kb_relative_information_score: 943.0089, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9825, predictive_accuracy: 0.9824, prior_entropy: 2.9931, recall: 0.9824, relative_absolute_error: 0.2412, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1118, root_relative_squared_error: 0.3381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.8963, kappa: 0.8813, kb_relative_information_score: 842.6721, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8972, predictive_accuracy: 0.8963, prior_entropy: 2.9931, recall: 0.8963, relative_absolute_error: 0.371, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.5001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.8208, kappa: 0.7943, kb_relative_information_score: 848.9399, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8234, predictive_accuracy: 0.8204, prior_entropy: 2.9931, recall: 0.8204, relative_absolute_error: 0.3194, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.5337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9243, kappa: 0.9131, kb_relative_information_score: 775.4328, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9261, predictive_accuracy: 0.9241, prior_entropy: 2.9931, recall: 0.9241, relative_absolute_error: 0.4744, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.5601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9318, kappa: 0.9216, kb_relative_information_score: 838.8589, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9329, predictive_accuracy: 0.9315, prior_entropy: 2.9931, recall: 0.9315, relative_absolute_error: 0.3872, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.163, root_relative_squared_error: 0.4932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9769, kappa: 0.9735, kb_relative_information_score: 709.1857, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9771, predictive_accuracy: 0.9769, prior_entropy: 2.9931, recall: 0.9769, relative_absolute_error: 0.5681, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.6029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9703, kappa: 0.9661, kb_relative_information_score: 853.1815, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9704, predictive_accuracy: 0.9704, prior_entropy: 2.9931, recall: 0.9704, relative_absolute_error: 0.3776, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.4605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.8991, kappa: 0.8845, kb_relative_information_score: 697.6854, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9025, predictive_accuracy: 0.8991, prior_entropy: 2.9931, recall: 0.8991, relative_absolute_error: 0.5691, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.6341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.975, kappa: 0.9714, kb_relative_information_score: 956.567, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9752, predictive_accuracy: 0.975, prior_entropy: 2.9931, recall: 0.975, relative_absolute_error: 0.2138, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.3286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.901, kappa: 0.8866, kb_relative_information_score: 854.8994, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.902, predictive_accuracy: 0.9009, prior_entropy: 2.9931, recall: 0.9009, relative_absolute_error: 0.3557, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1598, root_relative_squared_error: 0.4836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9658, kappa: 0.9608, kb_relative_information_score: 932.1745, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9659, predictive_accuracy: 0.9657, prior_entropy: 2.9931, recall: 0.9657, relative_absolute_error: 0.2494, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1215, root_relative_squared_error: 0.3677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.8619, kappa: 0.8421, kb_relative_information_score: 829.7167, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8628, predictive_accuracy: 0.862, prior_entropy: 2.9931, recall: 0.862, relative_absolute_error: 0.3719, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.5211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9574, kappa: 0.9513, kb_relative_information_score: 846.4816, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9578, predictive_accuracy: 0.9574, prior_entropy: 2.9931, recall: 0.9574, relative_absolute_error: 0.3824, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.4763,

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