Task
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 14966 Supervised Classification Bioresponse 16145 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: -10.1085, mean_absolute_error: 0.4973, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4983, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -50.5924, mean_absolute_error: 0.5009, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.4577, prior_entropy: 0.9948, recall: 0.4577, relative_absolute_error: 1.0091, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 11.4001, mean_absolute_error: 0.4953, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4984, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.774, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 1011.0035, mean_absolute_error: 0.3816, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7688, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.435, root_relative_squared_error: 0.8731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -2.7549, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5012, kb_relative_information_score: -4.6201, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -13.9096, mean_absolute_error: 0.4976, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0024, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4984, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -21.2298, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0037, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8557, f_measure: 0.7795, kappa: 0.5552, kb_relative_information_score: 1854.6563, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7798, predictive_accuracy: 0.7801, prior_entropy: 0.9948, recall: 0.7801, relative_absolute_error: 0.5216, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -282.3838, mean_absolute_error: 0.5292, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.4577, prior_entropy: 0.9948, recall: 0.4577, relative_absolute_error: 1.0661, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6317, root_relative_squared_error: 1.2679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kb_relative_information_score: 0.5942, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 7.911, mean_absolute_error: 0.4956, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4983, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -18.7519, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0031, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4991, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 13.724, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 5.9255, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4983, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 29.7954, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9938, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.0026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 11.0299, mean_absolute_error: 0.4953, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4984, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 4.5579, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3696, kappa: 0.0001, kb_relative_information_score: -88.3711, mean_absolute_error: 0.5047, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5037, predictive_accuracy: 0.4663, prior_entropy: 0.9948, recall: 0.4663, relative_absolute_error: 1.0167, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.509, root_relative_squared_error: 1.0217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.7503, kappa: 0.4968, kb_relative_information_score: 1511.7854, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7503, predictive_accuracy: 0.7505, prior_entropy: 0.9948, recall: 0.7505, relative_absolute_error: 0.6183, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.8403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kb_relative_information_score: -5.2563, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7684, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 999.2466, mean_absolute_error: 0.3831, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7718, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4358, root_relative_squared_error: 0.8747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -27.8172, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0049, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.499, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: 13.7823, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -8.4618, mean_absolute_error: 0.4972, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4983, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4422, kappa: -0.0001, kb_relative_information_score: 216.7019, mean_absolute_error: 0.4663, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5034, predictive_accuracy: 0.5337, prior_entropy: 0.9948, recall: 0.5337, relative_absolute_error: 0.9393, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6828, root_relative_squared_error: 1.3706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 6.3489, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4983, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 2.9387, mean_absolute_error: 0.4961, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7886, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 852.6275, mean_absolute_error: 0.4026, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.811, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.8726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.7376, kappa: 0.4705, kb_relative_information_score: 1269.3454, mean_absolute_error: 0.3419, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.738, predictive_accuracy: 0.7385, prior_entropy: 0.9948, recall: 0.7385, relative_absolute_error: 0.6888, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4229, root_relative_squared_error: 0.8489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7698, f_measure: 0.704, kappa: 0.4031, kb_relative_information_score: 564.6107, mean_absolute_error: 0.436, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.708, predictive_accuracy: 0.7073, prior_entropy: 0.9948, recall: 0.7073, relative_absolute_error: 0.8782, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4526, root_relative_squared_error: 0.9084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7308, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 1145.6072, mean_absolute_error: 0.3626, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4422, root_relative_squared_error: 0.8877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kb_relative_information_score: 4.695, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7855, f_measure: 0.7224, kappa: 0.4403, kb_relative_information_score: 1346.3593, mean_absolute_error: 0.3268, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7223, predictive_accuracy: 0.7227, prior_entropy: 0.9948, recall: 0.7227, relative_absolute_error: 0.6583, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4434, root_relative_squared_error: 0.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -32.1546, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0056, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 21.1149, mean_absolute_error: 0.4943, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9957, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4989, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8132, f_measure: 0.7462, kappa: 0.4886, kb_relative_information_score: 1174.3728, mean_absolute_error: 0.3581, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7461, predictive_accuracy: 0.7462, prior_entropy: 0.9948, recall: 0.7462, relative_absolute_error: 0.7214, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.8398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7771, f_measure: 0.7358, kappa: 0.4685, kb_relative_information_score: 1041.1174, mean_absolute_error: 0.3757, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7363, predictive_accuracy: 0.7355, prior_entropy: 0.9948, recall: 0.7355, relative_absolute_error: 0.7568, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.8694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kb_relative_information_score: -2.4798, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 4.946, mean_absolute_error: 0.4959, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7371, f_measure: 0.7146, kappa: 0.4242, kb_relative_information_score: 337.923, mean_absolute_error: 0.463, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7146, predictive_accuracy: 0.7153, prior_entropy: 0.9948, recall: 0.7153, relative_absolute_error: 0.9328, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4689, root_relative_squared_error: 0.9413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -1.9424, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7945, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 946.4394, mean_absolute_error: 0.39, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7856, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.8642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kb_relative_information_score: -14.6325, mean_absolute_error: 0.4977, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0025, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4984, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.7794, kappa: 0.5551, kb_relative_information_score: 1481.0214, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7795, predictive_accuracy: 0.7798, prior_entropy: 0.9948, recall: 0.7798, relative_absolute_error: 0.6385, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.7917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 19.5649, mean_absolute_error: 0.4944, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4988, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7381, kb_relative_information_score: 118.7244, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9763, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4881, root_relative_squared_error: 0.9797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kb_relative_information_score: -18.798, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4986, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -0.7187, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -6.6996, mean_absolute_error: 0.497, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4983, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: 26.1586, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7922, f_measure: 0.7246, kappa: 0.4448, kb_relative_information_score: 1009.924, mean_absolute_error: 0.3778, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7245, predictive_accuracy: 0.7249, prior_entropy: 0.9948, recall: 0.7249, relative_absolute_error: 0.761, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.8638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -4.6449, mean_absolute_error: 0.4968, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7832, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 515.4542, mean_absolute_error: 0.4436, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8937, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4548, root_relative_squared_error: 0.9128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 2.0816, mean_absolute_error: 0.4962, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 42.7716, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.991, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.501, root_relative_squared_error: 1.0056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kb_relative_information_score: 7.0494, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4983, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 66.5047, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9856, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5053, root_relative_squared_error: 1.0142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7945, f_measure: 0.7357, kappa: 0.4674, kb_relative_information_score: 1203.2491, mean_absolute_error: 0.3515, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7356, predictive_accuracy: 0.7358, prior_entropy: 0.9948, recall: 0.7358, relative_absolute_error: 0.7081, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.8602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.048, mean_absolute_error: 0.4895, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.986, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7981, f_measure: 0.7393, kappa: 0.4743, kb_relative_information_score: 739.2081, mean_absolute_error: 0.4167, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7392, predictive_accuracy: 0.7395, prior_entropy: 0.9948, recall: 0.7395, relative_absolute_error: 0.8394, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7795, f_measure: 0.7294, kappa: 0.4549, kb_relative_information_score: 960.9331, mean_absolute_error: 0.3858, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7294, predictive_accuracy: 0.7294, prior_entropy: 0.9948, recall: 0.7294, relative_absolute_error: 0.7771, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4352, root_relative_squared_error: 0.8734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.7578, kappa: 0.5115, kb_relative_information_score: 1157.3221, mean_absolute_error: 0.362, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7581, predictive_accuracy: 0.7585, prior_entropy: 0.9948, recall: 0.7585, relative_absolute_error: 0.7292, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4131, root_relative_squared_error: 0.8292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7827, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 1032.0421, mean_absolute_error: 0.3773, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.76, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kb_relative_information_score: -6.7082, mean_absolute_error: 0.497, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4983, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 4.6415, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.4962, kappa: -0.0022, kb_relative_information_score: 81.3122, mean_absolute_error: 0.4841, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5024, predictive_accuracy: 0.5159, prior_entropy: 0.9948, recall: 0.5159, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6958, root_relative_squared_error: 1.3966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -1.7149, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8066, f_measure: 0.7487, kappa: 0.4936, kb_relative_information_score: 959.3602, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7486, predictive_accuracy: 0.7489, prior_entropy: 0.9948, recall: 0.7489, relative_absolute_error: 0.7815, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.8553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7745, f_measure: 0.7181, kappa: 0.4312, kb_relative_information_score: 1229.2301, mean_absolute_error: 0.3445, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7187, predictive_accuracy: 0.7193, prior_entropy: 0.9948, recall: 0.7193, relative_absolute_error: 0.6939, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.444, root_relative_squared_error: 0.8912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8465, f_measure: 0.7805, kappa: 0.5574, kb_relative_information_score: 1411.0104, mean_absolute_error: 0.3278, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7805, predictive_accuracy: 0.7809, prior_entropy: 0.9948, recall: 0.7809, relative_absolute_error: 0.6602, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.7973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7915, f_measure: 0.7284, kappa: 0.4525, kb_relative_information_score: 1277.7914, mean_absolute_error: 0.3385, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7283, predictive_accuracy: 0.7286, prior_entropy: 0.9948, recall: 0.7286, relative_absolute_error: 0.6819, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.8716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.7415, kappa: 0.4786, kb_relative_information_score: 1134.8272, mean_absolute_error: 0.363, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7415, predictive_accuracy: 0.7419, prior_entropy: 0.9948, recall: 0.7419, relative_absolute_error: 0.7313, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.8486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8501, f_measure: 0.7772, kappa: 0.5504, kb_relative_information_score: 1427.8698, mean_absolute_error: 0.3247, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7778, predictive_accuracy: 0.7779, prior_entropy: 0.9948, recall: 0.7779, relative_absolute_error: 0.6542, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.7944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7797, f_measure: 0.7109, kappa: 0.417, kb_relative_information_score: 1011.9053, mean_absolute_error: 0.3766, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7147, predictive_accuracy: 0.7139, prior_entropy: 0.9948, recall: 0.7139, relative_absolute_error: 0.7587, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.8776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 0.3681, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7297, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 370.9401, mean_absolute_error: 0.4596, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.9259, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4664, root_relative_squared_error: 0.9361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7325, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 788.2397, mean_absolute_error: 0.4109, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8277, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7945, f_measure: 0.7301, kappa: 0.4554, kb_relative_information_score: 1468.6691, mean_absolute_error: 0.3092, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7305, predictive_accuracy: 0.731, prior_entropy: 0.9948, recall: 0.731, relative_absolute_error: 0.6229, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.443, root_relative_squared_error: 0.8892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7978, f_measure: 0.7373, kappa: 0.4705, kb_relative_information_score: 1047.2309, mean_absolute_error: 0.3744, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7372, predictive_accuracy: 0.7374, prior_entropy: 0.9948, recall: 0.7374, relative_absolute_error: 0.7543, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -54.3784, mean_absolute_error: 0.5013, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.4577, prior_entropy: 0.9948, recall: 0.4577, relative_absolute_error: 1.0098, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5015, root_relative_squared_error: 1.0066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kb_relative_information_score: -6.4439, mean_absolute_error: 0.497, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4983, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.7507, kappa: 0.497, kb_relative_information_score: 1082.488, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7512, predictive_accuracy: 0.7515, prior_entropy: 0.9948, recall: 0.7515, relative_absolute_error: 0.7478, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 39.922, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9916, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 0.2157, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7786, f_measure: 0.7194, kappa: 0.4343, kb_relative_information_score: 1226.3747, mean_absolute_error: 0.3447, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7193, predictive_accuracy: 0.7198, prior_entropy: 0.9948, recall: 0.7198, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4424, root_relative_squared_error: 0.8881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kb_relative_information_score: -16.6645, mean_absolute_error: 0.4979, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0029, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.7892, kappa: 0.5748, kb_relative_information_score: 1633.7767, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7894, predictive_accuracy: 0.7897, prior_entropy: 0.9948, recall: 0.7897, relative_absolute_error: 0.596, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3855, root_relative_squared_error: 0.7737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.7618, kappa: 0.5195, kb_relative_information_score: 1411.5161, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7618, predictive_accuracy: 0.7622, prior_entropy: 0.9948, recall: 0.7622, relative_absolute_error: 0.6537, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.8156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -3.814, mean_absolute_error: 0.4968, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -28.2311, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0049, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4991, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8196, f_measure: 0.7561, kappa: 0.5079, kb_relative_information_score: 1059.5149, mean_absolute_error: 0.3755, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7562, predictive_accuracy: 0.7566, prior_entropy: 0.9948, recall: 0.7566, relative_absolute_error: 0.7564, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4179, root_relative_squared_error: 0.8388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 1.4387, mean_absolute_error: 0.4963, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -17.6748, mean_absolute_error: 0.4979, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0031, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.7441, kappa: 0.4836, kb_relative_information_score: 1402.5641, mean_absolute_error: 0.3232, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7448, predictive_accuracy: 0.7451, prior_entropy: 0.9948, recall: 0.7451, relative_absolute_error: 0.651, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.8392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 1.9448, mean_absolute_error: 0.4962, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7822, f_measure: 0.719, kappa: 0.4331, kb_relative_information_score: 1469.0754, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7194, predictive_accuracy: 0.7201, prior_entropy: 0.9948, recall: 0.7201, relative_absolute_error: 0.6179, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4619, root_relative_squared_error: 0.9271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -14.0111, mean_absolute_error: 0.4976, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0024, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4984, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, f_measure: 0.3696, kappa: 0.0001, kb_relative_information_score: -94.7521, mean_absolute_error: 0.5054, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5037, predictive_accuracy: 0.4663, prior_entropy: 0.9948, recall: 0.4663, relative_absolute_error: 1.018, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5141, root_relative_squared_error: 1.0319,

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