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: 0.999, f_measure: 0.9694, kappa: 0.965, kb_relative_information_score: 861.8962, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9696, predictive_accuracy: 0.9694, prior_entropy: 2.9931, recall: 0.9694, relative_absolute_error: 0.3623, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.4493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.8836, kappa: 0.8664, kb_relative_information_score: 886.6227, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8855, predictive_accuracy: 0.8833, prior_entropy: 2.9931, recall: 0.8833, relative_absolute_error: 0.2943, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1524, root_relative_squared_error: 0.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9769, kappa: 0.9735, kb_relative_information_score: 874.2503, mean_absolute_error: 0.0753, 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: 0.3446, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1433, root_relative_squared_error: 0.4337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9214, kappa: 0.9099, kb_relative_information_score: 852.3868, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9221, predictive_accuracy: 0.9213, prior_entropy: 2.9931, recall: 0.9213, relative_absolute_error: 0.3644, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.4817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9861, kappa: 0.9841, kb_relative_information_score: 963.2706, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9863, predictive_accuracy: 0.9861, prior_entropy: 2.9931, recall: 0.9861, relative_absolute_error: 0.2083, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1009, root_relative_squared_error: 0.3054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9317, kappa: 0.9216, kb_relative_information_score: 807.4851, mean_absolute_error: 0.0938, 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: 0.4293, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9704, kappa: 0.9661, kb_relative_information_score: 906.0299, mean_absolute_error: 0.0639, 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: 0.2923, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.132, root_relative_squared_error: 0.3995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9528, kappa: 0.946, kb_relative_information_score: 843.0613, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9533, predictive_accuracy: 0.9528, prior_entropy: 2.9931, recall: 0.9528, relative_absolute_error: 0.3853, 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: 0.9986, f_measure: 0.9556, kappa: 0.9491, kb_relative_information_score: 941.6284, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9558, predictive_accuracy: 0.9556, prior_entropy: 2.9931, recall: 0.9556, relative_absolute_error: 0.2282, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1205, root_relative_squared_error: 0.3646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9371, kappa: 0.9279, kb_relative_information_score: 939.1874, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9374, predictive_accuracy: 0.937, prior_entropy: 2.9931, recall: 0.937, relative_absolute_error: 0.2272, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.3775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.8547, kappa: 0.8336, kb_relative_information_score: 836.8587, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8556, predictive_accuracy: 0.8546, prior_entropy: 2.9931, recall: 0.8546, relative_absolute_error: 0.3625, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.172, root_relative_squared_error: 0.5203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9575, kappa: 0.9513, kb_relative_information_score: 893.5572, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9579, predictive_accuracy: 0.9574, prior_entropy: 2.9931, recall: 0.9574, relative_absolute_error: 0.3095, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.4223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.785, kappa: 0.7554, kb_relative_information_score: 824.2013, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.7882, predictive_accuracy: 0.7861, prior_entropy: 2.9931, recall: 0.7861, relative_absolute_error: 0.3241, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.5891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9011, kappa: 0.8866, kb_relative_information_score: 819.3589, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9021, predictive_accuracy: 0.9009, prior_entropy: 2.9931, recall: 0.9009, relative_absolute_error: 0.4019, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.5198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.8491, kappa: 0.8272, kb_relative_information_score: 781.5304, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.851, predictive_accuracy: 0.8491, prior_entropy: 2.9931, recall: 0.8491, relative_absolute_error: 0.4411, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.5672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.8825, kappa: 0.8654, kb_relative_information_score: 787.2609, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8837, predictive_accuracy: 0.8824, prior_entropy: 2.9931, recall: 0.8824, relative_absolute_error: 0.4429, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.183, root_relative_squared_error: 0.5537,
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: 0.9998, f_measure: 0.9889, kappa: 0.9873, kb_relative_information_score: 957.5388, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.989, predictive_accuracy: 0.9889, prior_entropy: 2.9931, recall: 0.9889, relative_absolute_error: 0.2194, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1042, root_relative_squared_error: 0.3153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9271, kappa: 0.9163, kb_relative_information_score: 827.4277, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9282, predictive_accuracy: 0.9269, prior_entropy: 2.9931, recall: 0.9269, relative_absolute_error: 0.4002, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.5025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9889, kappa: 0.9873, kb_relative_information_score: 863.4039, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.989, predictive_accuracy: 0.9889, prior_entropy: 2.9931, recall: 0.9889, relative_absolute_error: 0.3714, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1422, root_relative_squared_error: 0.4302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.927, kappa: 0.9163, kb_relative_information_score: 684.8386, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.929, predictive_accuracy: 0.9269, prior_entropy: 2.9931, recall: 0.9269, relative_absolute_error: 0.5838, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.6381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.8277, kappa: 0.803, kb_relative_information_score: 840.1066, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8302, predictive_accuracy: 0.8278, prior_entropy: 2.9931, recall: 0.8278, relative_absolute_error: 0.3408, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.5279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9648, kappa: 0.9597, kb_relative_information_score: 911.0781, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9649, predictive_accuracy: 0.9648, prior_entropy: 2.9931, recall: 0.9648, relative_absolute_error: 0.2816, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1311, root_relative_squared_error: 0.3967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9732, kappa: 0.9693, kb_relative_information_score: 928.1477, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9736, predictive_accuracy: 0.9731, prior_entropy: 2.9931, recall: 0.9731, relative_absolute_error: 0.2579, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1229, root_relative_squared_error: 0.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9271, kappa: 0.9163, kb_relative_information_score: 859.2272, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9277, predictive_accuracy: 0.9269, prior_entropy: 2.9931, recall: 0.9269, relative_absolute_error: 0.354, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.4738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9602, kappa: 0.9544, kb_relative_information_score: 942.1426, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9603, predictive_accuracy: 0.9602, prior_entropy: 2.9931, recall: 0.9602, relative_absolute_error: 0.2302, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1189, root_relative_squared_error: 0.3596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.8779, kappa: 0.8601, kb_relative_information_score: 913.6384, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8781, predictive_accuracy: 0.8778, prior_entropy: 2.9931, recall: 0.8778, relative_absolute_error: 0.2413, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.4384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.885, kappa: 0.8675, kb_relative_information_score: 730.2793, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8887, predictive_accuracy: 0.8843, prior_entropy: 2.9931, recall: 0.8843, relative_absolute_error: 0.5225, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.6032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9473, kappa: 0.9396, kb_relative_information_score: 804.4529, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9478, predictive_accuracy: 0.9472, prior_entropy: 2.9931, recall: 0.9472, relative_absolute_error: 0.437, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.172, root_relative_squared_error: 0.5203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9824, kappa: 0.9799, kb_relative_information_score: 919.572, mean_absolute_error: 0.0613, 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: 0.2806, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1214, root_relative_squared_error: 0.3672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9741, kappa: 0.9703, kb_relative_information_score: 848.7842, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9743, predictive_accuracy: 0.9741, prior_entropy: 2.9931, recall: 0.9741, relative_absolute_error: 0.3827, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1536, root_relative_squared_error: 0.4649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9741, kappa: 0.9703, kb_relative_information_score: 831.7416, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9743, predictive_accuracy: 0.9741, prior_entropy: 2.9931, recall: 0.9741, relative_absolute_error: 0.4113, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.159, root_relative_squared_error: 0.4811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.7916, kappa: 0.7628, kb_relative_information_score: 831.7781, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.7953, predictive_accuracy: 0.7926, prior_entropy: 2.9931, recall: 0.7926, relative_absolute_error: 0.3211, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.5716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.7942, kappa: 0.766, kb_relative_information_score: 831.4553, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.798, predictive_accuracy: 0.7954, prior_entropy: 2.9931, recall: 0.7954, relative_absolute_error: 0.3307, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.5612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9843, kappa: 0.982, kb_relative_information_score: 916.1007, mean_absolute_error: 0.0629, 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: 0.2881, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1222, root_relative_squared_error: 0.3697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9076, kappa: 0.894, kb_relative_information_score: 746.1997, mean_absolute_error: 0.1117, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9098, predictive_accuracy: 0.9074, prior_entropy: 2.9931, recall: 0.9074, relative_absolute_error: 0.5112, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.5895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9325, kappa: 0.9226, kb_relative_information_score: 855.8923, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.933, predictive_accuracy: 0.9324, prior_entropy: 2.9931, recall: 0.9324, relative_absolute_error: 0.3579, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1564, root_relative_squared_error: 0.4733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5597, kappa: 0.1194, kb_relative_information_score: 196.9958, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2417, prior_entropy: 2.9931, recall: 0.2417, relative_absolute_error: 0.8678, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4354, root_relative_squared_error: 1.3174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5597, kappa: 0.1194, kb_relative_information_score: 196.9958, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2417, prior_entropy: 2.9931, recall: 0.2417, relative_absolute_error: 0.8678, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4354, root_relative_squared_error: 1.3174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6651, f_measure: 0.4468, kappa: 0.3322, kb_relative_information_score: 406.6327, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8881, predictive_accuracy: 0.4231, prior_entropy: 2.9931, recall: 0.4231, relative_absolute_error: 0.6601, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3798, root_relative_squared_error: 1.149,
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: 0.9468, f_measure: 0.9168, kappa: 0.8949, kb_relative_information_score: 972.898, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9448, predictive_accuracy: 0.9083, prior_entropy: 2.9931, recall: 0.9083, relative_absolute_error: 0.1049, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1514, root_relative_squared_error: 0.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9506, f_measure: 0.914, kappa: 0.9015, kb_relative_information_score: 981.6294, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9219, predictive_accuracy: 0.9139, prior_entropy: 2.9931, recall: 0.9139, relative_absolute_error: 0.0985, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1467, root_relative_squared_error: 0.4439,
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: 0.5597, 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: 0.5824, kappa: 0.1651, kb_relative_information_score: 241.1537, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2806, prior_entropy: 2.9931, recall: 0.2806, relative_absolute_error: 0.8233, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4241, root_relative_squared_error: 1.2832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9695, kappa: 0.964, kb_relative_information_score: 1043.2397, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.973, predictive_accuracy: 0.9685, prior_entropy: 2.9931, recall: 0.9685, relative_absolute_error: 0.036, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0887, root_relative_squared_error: 0.2684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5597, kappa: 0.1194, kb_relative_information_score: 196.9958, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2417, prior_entropy: 2.9931, recall: 0.2417, relative_absolute_error: 0.8678, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4354, root_relative_squared_error: 1.3174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5597, kappa: 0.1194, kb_relative_information_score: 196.9958, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2417, prior_entropy: 2.9931, recall: 0.2417, relative_absolute_error: 0.8678, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4354, root_relative_squared_error: 1.3174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5597, kappa: 0.1194, kb_relative_information_score: 196.9958, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2417, prior_entropy: 2.9931, recall: 0.2417, relative_absolute_error: 0.8678, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4354, root_relative_squared_error: 1.3174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5081, kappa: 0.0161, kb_relative_information_score: 98.703, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1528, prior_entropy: 2.9931, recall: 0.1528, relative_absolute_error: 0.9695, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4602, root_relative_squared_error: 1.3925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5597, kappa: 0.1194, kb_relative_information_score: 196.9958, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2417, prior_entropy: 2.9931, recall: 0.2417, relative_absolute_error: 0.8678, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4354, root_relative_squared_error: 1.3174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.521, kappa: 0.0419, kb_relative_information_score: 123.2762, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.175, prior_entropy: 2.9931, recall: 0.175, relative_absolute_error: 0.9441, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4541, root_relative_squared_error: 1.3741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9972, kappa: 0.9968, kb_relative_information_score: 1076.848, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9972, predictive_accuracy: 0.9972, prior_entropy: 2.9931, recall: 0.9972, relative_absolute_error: 0.0032, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0264, root_relative_squared_error: 0.0797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5054, kappa: 0.0108, kb_relative_information_score: 93.5836, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1481, prior_entropy: 2.9931, recall: 0.1481, relative_absolute_error: 0.9748, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4615, root_relative_squared_error: 1.3963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7806, f_measure: 0.6655, kappa: 0.5642, kb_relative_information_score: 637.3402, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8984, predictive_accuracy: 0.6222, prior_entropy: 2.9931, recall: 0.6222, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.9299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9873, kappa: 0.9852, kb_relative_information_score: 1065.161, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9883, predictive_accuracy: 0.987, prior_entropy: 2.9931, recall: 0.987, relative_absolute_error: 0.0148, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0569, root_relative_squared_error: 0.1722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.899, kappa: 0.8704, kb_relative_information_score: 948.1546, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9377, predictive_accuracy: 0.887, prior_entropy: 2.9931, recall: 0.887, relative_absolute_error: 0.1293, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.168, root_relative_squared_error: 0.5085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6261, kappa: 0.2529, kb_relative_information_score: 326.6574, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.3546, prior_entropy: 2.9931, recall: 0.3546, relative_absolute_error: 0.7385, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4017, root_relative_squared_error: 1.2154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6968, f_measure: 0.5118, kappa: 0.396, kb_relative_information_score: 469.7099, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8903, predictive_accuracy: 0.4778, prior_entropy: 2.9931, recall: 0.4778, relative_absolute_error: 0.5976, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3613, root_relative_squared_error: 1.0933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, 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: 0.8737, f_measure: 0.7783, kappa: 0.7483, kb_relative_information_score: 824.3373, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8077, predictive_accuracy: 0.7806, prior_entropy: 2.9931, recall: 0.7806, relative_absolute_error: 0.2511, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2342, root_relative_squared_error: 0.7087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5823, kappa: 0.1654, kb_relative_information_score: 242.993, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2806, prior_entropy: 2.9931, recall: 0.2806, relative_absolute_error: 0.8233, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4241, root_relative_squared_error: 1.2832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5054, kappa: 0.0108, kb_relative_information_score: 93.5836, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1481, prior_entropy: 2.9931, recall: 0.1481, relative_absolute_error: 0.9748, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4615, root_relative_squared_error: 1.3963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.9047, kappa: 0.8908, kb_relative_information_score: 970.8576, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9109, predictive_accuracy: 0.9046, prior_entropy: 2.9931, recall: 0.9046, relative_absolute_error: 0.1091, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1544, root_relative_squared_error: 0.4672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, 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: 0.9788, f_measure: 0.9632, kappa: 0.9576, kb_relative_information_score: 1038.132, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9652, predictive_accuracy: 0.963, prior_entropy: 2.9931, recall: 0.963, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0962, root_relative_squared_error: 0.2911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, 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: 0.9968, 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: 0.9776, 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: 0.5065, kappa: 0.0129, kb_relative_information_score: 95.6314, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.15, prior_entropy: 2.9931, recall: 0.15, relative_absolute_error: 0.9727, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.461, root_relative_squared_error: 1.3948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5597, 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: 0.9596, f_measure: 0.9298, kappa: 0.9195, kb_relative_information_score: 999.7162, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9349, predictive_accuracy: 0.9296, prior_entropy: 2.9931, recall: 0.9296, relative_absolute_error: 0.0805, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1326, root_relative_squared_error: 0.4013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7652, f_measure: 0.5417, kappa: 0.5311, kb_relative_information_score: 602.0252, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.7227, predictive_accuracy: 0.5926, prior_entropy: 2.9931, recall: 0.5926, relative_absolute_error: 0.4662, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3191, root_relative_squared_error: 0.9656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5597, kappa: 0.1194, kb_relative_information_score: 196.9958, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2417, prior_entropy: 2.9931, recall: 0.2417, relative_absolute_error: 0.8678, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4354, root_relative_squared_error: 1.3174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5274, kappa: 0.0549, kb_relative_information_score: 135.6483, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1861, prior_entropy: 2.9931, recall: 0.1861, relative_absolute_error: 0.9314, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4511, root_relative_squared_error: 1.3648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5597, kappa: 0.1194, kb_relative_information_score: 196.9958, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2417, prior_entropy: 2.9931, recall: 0.2417, relative_absolute_error: 0.8678, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4354, root_relative_squared_error: 1.3174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.858, kappa: 0.8139, kb_relative_information_score: 890.1102, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9252, predictive_accuracy: 0.838, prior_entropy: 2.9931, recall: 0.838, relative_absolute_error: 0.1854, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5597, kappa: 0.1194, kb_relative_information_score: 196.9958, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2417, prior_entropy: 2.9931, recall: 0.2417, relative_absolute_error: 0.8678, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4354, root_relative_squared_error: 1.3174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.9112, kappa: 0.8983, kb_relative_information_score: 978.3242, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9191, predictive_accuracy: 0.9111, prior_entropy: 2.9931, recall: 0.9111, relative_absolute_error: 0.1017, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.451,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5398, kappa: 0.0798, kb_relative_information_score: 159.8393, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2074, prior_entropy: 2.9931, recall: 0.2074, relative_absolute_error: 0.907, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4451, root_relative_squared_error: 1.3469,
0 likes - 0 downloads - 0 reach - 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: 0.5113, kappa: 0.0226, kb_relative_information_score: 104.8463, mean_absolute_error: 0.2104, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1583, prior_entropy: 2.9931, recall: 0.1583, relative_absolute_error: 0.9632, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4587, root_relative_squared_error: 1.3879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7132, kappa: 0.4271, kb_relative_information_score: 498.4775, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.5028, prior_entropy: 2.9931, recall: 0.5028, relative_absolute_error: 0.569, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3526, root_relative_squared_error: 1.0668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5597, 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: 0.7278, kappa: 0.4561, kb_relative_information_score: 527.2344, mean_absolute_error: 0.1181, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.5278, prior_entropy: 2.9931, recall: 0.5278, relative_absolute_error: 0.5404, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3436, root_relative_squared_error: 1.0396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7543, f_measure: 0.621, kappa: 0.5115, kb_relative_information_score: 584.7816, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8954, predictive_accuracy: 0.5769, prior_entropy: 2.9931, recall: 0.5769, relative_absolute_error: 0.4842, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.9841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5597, 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: 0.9984, 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: 0.9792, 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: 0.5688, kappa: 0.1383, kb_relative_information_score: 216.6688, mean_absolute_error: 0.1856, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2574, prior_entropy: 2.9931, recall: 0.2574, relative_absolute_error: 0.8498, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4309, root_relative_squared_error: 1.3037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6742, f_measure: 0.4648, kappa: 0.3506, kb_relative_information_score: 424.7855, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8887, predictive_accuracy: 0.4389, prior_entropy: 2.9931, recall: 0.4389, relative_absolute_error: 0.6421, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3745, root_relative_squared_error: 1.1332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.8476, kappa: 0.8, kb_relative_information_score: 875.6554, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9227, predictive_accuracy: 0.8259, prior_entropy: 2.9931, recall: 0.8259, relative_absolute_error: 0.1992, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.6312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, 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: 0.8978, f_measure: 0.8219, kappa: 0.7963, kb_relative_information_score: 874.1871, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8369, predictive_accuracy: 0.8222, prior_entropy: 2.9931, recall: 0.8222, relative_absolute_error: 0.2034, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.6379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5269, kappa: 0.0538, kb_relative_information_score: 134.6245, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1852, prior_entropy: 2.9931, recall: 0.1852, relative_absolute_error: 0.9324, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4513, root_relative_squared_error: 1.3656,

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