OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 9910 Supervised Classification Bioresponse 17585 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7386, f_measure: 0.7442, kappa: 0.4864, kb_relative_information_score: 0.4947, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7587, predictive_accuracy: 0.7499, prior_entropy: 0.9948, recall: 0.7499, relative_absolute_error: 0.5037, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.754, f_measure: 0.7565, kappa: 0.5091, kb_relative_information_score: 0.5087, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7565, predictive_accuracy: 0.7569, prior_entropy: 0.9948, recall: 0.7569, relative_absolute_error: 0.4898, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4931, root_relative_squared_error: 0.9897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7537, f_measure: 0.7561, kappa: 0.5083, kb_relative_information_score: 0.5076, mean_absolute_error: 0.2437, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.756, predictive_accuracy: 0.7563, prior_entropy: 0.9948, recall: 0.7563, relative_absolute_error: 0.4908, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4936, root_relative_squared_error: 0.9908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7388, f_measure: 0.7444, kappa: 0.4869, kb_relative_information_score: 0.4952, mean_absolute_error: 0.2498, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7591, predictive_accuracy: 0.7502, prior_entropy: 0.9948, recall: 0.7502, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.7434, kappa: 0.4848, kb_relative_information_score: 0.4931, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7578, predictive_accuracy: 0.7491, prior_entropy: 0.9948, recall: 0.7491, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.738, f_measure: 0.7436, kappa: 0.4853, kb_relative_information_score: 0.4936, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7582, predictive_accuracy: 0.7494, prior_entropy: 0.9948, recall: 0.7494, relative_absolute_error: 0.5048, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7367, f_measure: 0.7423, kappa: 0.4829, kb_relative_information_score: 0.4914, mean_absolute_error: 0.2517, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7576, predictive_accuracy: 0.7483, prior_entropy: 0.9948, recall: 0.7483, relative_absolute_error: 0.507, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7363, f_measure: 0.7419, kappa: 0.4822, kb_relative_information_score: 0.4909, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7575, predictive_accuracy: 0.7481, prior_entropy: 0.9948, recall: 0.7481, relative_absolute_error: 0.5075, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7363, f_measure: 0.7419, kappa: 0.482, kb_relative_information_score: 0.4904, mean_absolute_error: 0.2522, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7566, predictive_accuracy: 0.7478, prior_entropy: 0.9948, recall: 0.7478, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.752, f_measure: 0.7545, kappa: 0.505, kb_relative_information_score: 0.5044, mean_absolute_error: 0.2453, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7544, predictive_accuracy: 0.7547, prior_entropy: 0.9948, recall: 0.7547, relative_absolute_error: 0.4941, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7543, f_measure: 0.7566, kappa: 0.5094, kb_relative_information_score: 0.5087, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7566, predictive_accuracy: 0.7569, prior_entropy: 0.9948, recall: 0.7569, relative_absolute_error: 0.4898, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4931, root_relative_squared_error: 0.9897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7384, f_measure: 0.744, kappa: 0.486, kb_relative_information_score: 0.4941, mean_absolute_error: 0.2503, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7581, predictive_accuracy: 0.7497, prior_entropy: 0.9948, recall: 0.7497, relative_absolute_error: 0.5043, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7511, f_measure: 0.7534, kappa: 0.503, kb_relative_information_score: 0.5022, mean_absolute_error: 0.2463, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7534, predictive_accuracy: 0.7537, prior_entropy: 0.9948, recall: 0.7537, relative_absolute_error: 0.4962, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7386, f_measure: 0.7442, kappa: 0.4867, kb_relative_information_score: 0.4952, mean_absolute_error: 0.2498, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7596, predictive_accuracy: 0.7502, prior_entropy: 0.9948, recall: 0.7502, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, f_measure: 0.742, kappa: 0.4823, kb_relative_information_score: 0.4909, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7573, predictive_accuracy: 0.7481, prior_entropy: 0.9948, recall: 0.7481, relative_absolute_error: 0.5075, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7546, f_measure: 0.7571, kappa: 0.5102, kb_relative_information_score: 0.5098, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.757, predictive_accuracy: 0.7574, prior_entropy: 0.9948, recall: 0.7574, relative_absolute_error: 0.4887, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4925, root_relative_squared_error: 0.9886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.7452, kappa: 0.4883, kb_relative_information_score: 0.4963, mean_absolute_error: 0.2493, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.759, predictive_accuracy: 0.7507, prior_entropy: 0.9948, recall: 0.7507, relative_absolute_error: 0.5021, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4993, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7406, f_measure: 0.7462, kappa: 0.4904, kb_relative_information_score: 0.4984, mean_absolute_error: 0.2482, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7603, predictive_accuracy: 0.7518, prior_entropy: 0.9948, recall: 0.7518, relative_absolute_error: 0.5, 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: 0.7375, f_measure: 0.7431, kappa: 0.4846, kb_relative_information_score: 0.4931, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7583, predictive_accuracy: 0.7491, prior_entropy: 0.9948, recall: 0.7491, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, f_measure: 0.7433, kappa: 0.4847, kb_relative_information_score: 0.4931, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.758, predictive_accuracy: 0.7491, prior_entropy: 0.9948, recall: 0.7491, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7374, f_measure: 0.743, kappa: 0.4842, kb_relative_information_score: 0.4925, mean_absolute_error: 0.2511, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7576, predictive_accuracy: 0.7489, prior_entropy: 0.9948, recall: 0.7489, relative_absolute_error: 0.5059, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7363, f_measure: 0.7419, kappa: 0.482, kb_relative_information_score: 0.4904, mean_absolute_error: 0.2522, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7566, predictive_accuracy: 0.7478, prior_entropy: 0.9948, recall: 0.7478, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7387, f_measure: 0.7443, kappa: 0.4866, kb_relative_information_score: 0.4947, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7583, predictive_accuracy: 0.7499, prior_entropy: 0.9948, recall: 0.7499, relative_absolute_error: 0.5037, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7381, f_measure: 0.7437, kappa: 0.4854, kb_relative_information_score: 0.4936, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.758, predictive_accuracy: 0.7494, prior_entropy: 0.9948, recall: 0.7494, relative_absolute_error: 0.5048, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7508, f_measure: 0.7534, kappa: 0.5027, kb_relative_information_score: 0.5022, mean_absolute_error: 0.2463, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7533, predictive_accuracy: 0.7537, prior_entropy: 0.9948, recall: 0.7537, relative_absolute_error: 0.4962, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7517, f_measure: 0.754, kappa: 0.5041, kb_relative_information_score: 0.5033, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7539, predictive_accuracy: 0.7542, prior_entropy: 0.9948, recall: 0.7542, relative_absolute_error: 0.4951, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7359, f_measure: 0.7415, kappa: 0.4815, kb_relative_information_score: 0.4904, mean_absolute_error: 0.2522, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7577, predictive_accuracy: 0.7478, prior_entropy: 0.9948, recall: 0.7478, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7511, f_measure: 0.7536, kappa: 0.5033, kb_relative_information_score: 0.5028, mean_absolute_error: 0.2461, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7536, predictive_accuracy: 0.7539, prior_entropy: 0.9948, recall: 0.7539, relative_absolute_error: 0.4957, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4961, root_relative_squared_error: 0.9957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7373, f_measure: 0.7429, kappa: 0.4838, kb_relative_information_score: 0.492, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7571, predictive_accuracy: 0.7486, prior_entropy: 0.9948, recall: 0.7486, relative_absolute_error: 0.5064, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7385, f_measure: 0.7441, kappa: 0.4864, kb_relative_information_score: 0.4947, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7588, predictive_accuracy: 0.7499, prior_entropy: 0.9948, recall: 0.7499, relative_absolute_error: 0.5037, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.7451, kappa: 0.4882, kb_relative_information_score: 0.4963, mean_absolute_error: 0.2493, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7592, predictive_accuracy: 0.7507, prior_entropy: 0.9948, recall: 0.7507, relative_absolute_error: 0.5021, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4993, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7354, f_measure: 0.741, kappa: 0.4802, kb_relative_information_score: 0.4888, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.756, predictive_accuracy: 0.747, prior_entropy: 0.9948, recall: 0.747, relative_absolute_error: 0.5096, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.737, f_measure: 0.7426, kappa: 0.4838, kb_relative_information_score: 0.4925, mean_absolute_error: 0.2511, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7587, predictive_accuracy: 0.7489, prior_entropy: 0.9948, recall: 0.7489, relative_absolute_error: 0.5059, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7365, f_measure: 0.7421, kappa: 0.4824, kb_relative_information_score: 0.4909, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7571, predictive_accuracy: 0.7481, prior_entropy: 0.9948, recall: 0.7481, relative_absolute_error: 0.5075, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.7434, kappa: 0.4848, kb_relative_information_score: 0.4931, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7578, predictive_accuracy: 0.7491, prior_entropy: 0.9948, recall: 0.7491, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7349, f_measure: 0.7405, kappa: 0.4794, kb_relative_information_score: 0.4882, mean_absolute_error: 0.2533, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7563, predictive_accuracy: 0.7467, prior_entropy: 0.9948, recall: 0.7467, relative_absolute_error: 0.5102, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5033, root_relative_squared_error: 1.0101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7359, f_measure: 0.7415, kappa: 0.4813, kb_relative_information_score: 0.4898, mean_absolute_error: 0.2525, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7566, predictive_accuracy: 0.7475, prior_entropy: 0.9948, recall: 0.7475, relative_absolute_error: 0.5086, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5025, root_relative_squared_error: 1.0085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7356, f_measure: 0.7412, kappa: 0.4807, kb_relative_information_score: 0.4893, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7565, predictive_accuracy: 0.7473, prior_entropy: 0.9948, recall: 0.7473, relative_absolute_error: 0.5091, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5027, root_relative_squared_error: 1.0091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7375, f_measure: 0.7431, kappa: 0.4845, kb_relative_information_score: 0.4931, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7584, predictive_accuracy: 0.7491, prior_entropy: 0.9948, recall: 0.7491, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7366, f_measure: 0.7422, kappa: 0.4828, kb_relative_information_score: 0.4914, mean_absolute_error: 0.2517, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7579, predictive_accuracy: 0.7483, prior_entropy: 0.9948, recall: 0.7483, relative_absolute_error: 0.507, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7355, f_measure: 0.7411, kappa: 0.4803, kb_relative_information_score: 0.4888, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7557, predictive_accuracy: 0.747, prior_entropy: 0.9948, recall: 0.747, relative_absolute_error: 0.5096, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.7434, kappa: 0.4848, kb_relative_information_score: 0.4931, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7578, predictive_accuracy: 0.7491, prior_entropy: 0.9948, recall: 0.7491, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7506, f_measure: 0.7531, kappa: 0.5022, kb_relative_information_score: 0.5017, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.753, predictive_accuracy: 0.7534, prior_entropy: 0.9948, recall: 0.7534, relative_absolute_error: 0.4967, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7344, f_measure: 0.7399, kappa: 0.4781, kb_relative_information_score: 0.4866, mean_absolute_error: 0.2541, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7548, predictive_accuracy: 0.7459, prior_entropy: 0.9948, recall: 0.7459, relative_absolute_error: 0.5118, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.504, root_relative_squared_error: 1.0117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7531, f_measure: 0.7555, kappa: 0.5071, kb_relative_information_score: 0.5065, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7555, predictive_accuracy: 0.7558, prior_entropy: 0.9948, recall: 0.7558, relative_absolute_error: 0.4919, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4942, root_relative_squared_error: 0.9919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7381, f_measure: 0.7437, kappa: 0.4854, kb_relative_information_score: 0.4936, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7579, predictive_accuracy: 0.7494, prior_entropy: 0.9948, recall: 0.7494, relative_absolute_error: 0.5048, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7404, f_measure: 0.746, kappa: 0.4899, kb_relative_information_score: 0.4979, mean_absolute_error: 0.2485, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7599, predictive_accuracy: 0.7515, prior_entropy: 0.9948, recall: 0.7515, relative_absolute_error: 0.5005, 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: 0.7346, f_measure: 0.7402, kappa: 0.4786, kb_relative_information_score: 0.4871, mean_absolute_error: 0.2538, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7551, predictive_accuracy: 0.7462, prior_entropy: 0.9948, recall: 0.7462, relative_absolute_error: 0.5112, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5038, root_relative_squared_error: 1.0112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7505, f_measure: 0.7529, kappa: 0.5019, kb_relative_information_score: 0.5011, mean_absolute_error: 0.2469, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7528, predictive_accuracy: 0.7531, prior_entropy: 0.9948, recall: 0.7531, relative_absolute_error: 0.4973, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7385, f_measure: 0.7441, kappa: 0.4864, kb_relative_information_score: 0.4947, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7588, predictive_accuracy: 0.7499, prior_entropy: 0.9948, recall: 0.7499, relative_absolute_error: 0.5037, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7371, f_measure: 0.7427, kappa: 0.4836, kb_relative_information_score: 0.492, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7574, predictive_accuracy: 0.7486, prior_entropy: 0.9948, recall: 0.7486, relative_absolute_error: 0.5064, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7367, f_measure: 0.7423, kappa: 0.4826, kb_relative_information_score: 0.4909, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7566, predictive_accuracy: 0.7481, prior_entropy: 0.9948, recall: 0.7481, relative_absolute_error: 0.5075, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7512, f_measure: 0.7537, kappa: 0.5034, kb_relative_information_score: 0.5028, mean_absolute_error: 0.2461, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7536, predictive_accuracy: 0.7539, prior_entropy: 0.9948, recall: 0.7539, relative_absolute_error: 0.4957, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4961, root_relative_squared_error: 0.9957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7351, f_measure: 0.7406, kappa: 0.4796, kb_relative_information_score: 0.4882, mean_absolute_error: 0.2533, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7559, predictive_accuracy: 0.7467, prior_entropy: 0.9948, recall: 0.7467, relative_absolute_error: 0.5102, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5033, root_relative_squared_error: 1.0101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7383, f_measure: 0.7439, kappa: 0.4859, kb_relative_information_score: 0.4941, mean_absolute_error: 0.2503, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7584, predictive_accuracy: 0.7497, prior_entropy: 0.9948, recall: 0.7497, relative_absolute_error: 0.5043, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7503, f_measure: 0.7528, kappa: 0.5016, kb_relative_information_score: 0.5011, mean_absolute_error: 0.2469, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7528, predictive_accuracy: 0.7531, prior_entropy: 0.9948, recall: 0.7531, relative_absolute_error: 0.4973, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, f_measure: 0.742, kappa: 0.4823, kb_relative_information_score: 0.4909, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7573, predictive_accuracy: 0.7481, prior_entropy: 0.9948, recall: 0.7481, relative_absolute_error: 0.5075, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7541, f_measure: 0.7568, kappa: 0.5095, kb_relative_information_score: 0.5092, mean_absolute_error: 0.2429, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7567, predictive_accuracy: 0.7571, prior_entropy: 0.9948, recall: 0.7571, relative_absolute_error: 0.4892, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4928, root_relative_squared_error: 0.9892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7397, f_measure: 0.7453, kappa: 0.4884, kb_relative_information_score: 0.4963, mean_absolute_error: 0.2493, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7587, predictive_accuracy: 0.7507, prior_entropy: 0.9948, recall: 0.7507, relative_absolute_error: 0.5021, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4993, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7534, f_measure: 0.7558, kappa: 0.5077, kb_relative_information_score: 0.5071, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7557, predictive_accuracy: 0.7561, prior_entropy: 0.9948, recall: 0.7561, relative_absolute_error: 0.4914, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4939, root_relative_squared_error: 0.9913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7366, f_measure: 0.7421, kappa: 0.4825, kb_relative_information_score: 0.4909, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7569, predictive_accuracy: 0.7481, prior_entropy: 0.9948, recall: 0.7481, relative_absolute_error: 0.5075, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.751, f_measure: 0.7534, kappa: 0.5029, kb_relative_information_score: 0.5022, mean_absolute_error: 0.2463, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7533, predictive_accuracy: 0.7537, prior_entropy: 0.9948, recall: 0.7537, relative_absolute_error: 0.4962, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7343, f_measure: 0.7398, kappa: 0.478, kb_relative_information_score: 0.4866, mean_absolute_error: 0.2541, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.755, predictive_accuracy: 0.7459, prior_entropy: 0.9948, recall: 0.7459, relative_absolute_error: 0.5118, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.504, root_relative_squared_error: 1.0117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7509, f_measure: 0.7534, kappa: 0.5028, kb_relative_information_score: 0.5022, mean_absolute_error: 0.2463, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7533, predictive_accuracy: 0.7537, prior_entropy: 0.9948, recall: 0.7537, relative_absolute_error: 0.4962, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7379, f_measure: 0.7435, kappa: 0.4852, kb_relative_information_score: 0.4936, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7584, predictive_accuracy: 0.7494, prior_entropy: 0.9948, recall: 0.7494, relative_absolute_error: 0.5048, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7537, f_measure: 0.7561, kappa: 0.5083, kb_relative_information_score: 0.5076, mean_absolute_error: 0.2437, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.756, predictive_accuracy: 0.7563, prior_entropy: 0.9948, recall: 0.7563, relative_absolute_error: 0.4908, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4936, root_relative_squared_error: 0.9908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.753, f_measure: 0.7555, kappa: 0.5071, kb_relative_information_score: 0.5065, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7554, predictive_accuracy: 0.7558, prior_entropy: 0.9948, recall: 0.7558, relative_absolute_error: 0.4919, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4942, root_relative_squared_error: 0.9919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7498, f_measure: 0.7523, kappa: 0.5006, kb_relative_information_score: 0.5001, mean_absolute_error: 0.2474, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7522, predictive_accuracy: 0.7526, prior_entropy: 0.9948, recall: 0.7526, relative_absolute_error: 0.4984, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7511, f_measure: 0.7536, kappa: 0.5033, kb_relative_information_score: 0.5028, mean_absolute_error: 0.2461, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7536, predictive_accuracy: 0.7539, prior_entropy: 0.9948, recall: 0.7539, relative_absolute_error: 0.4957, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4961, root_relative_squared_error: 0.9957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.753, f_measure: 0.7555, kappa: 0.507, kb_relative_information_score: 0.5065, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7554, predictive_accuracy: 0.7558, prior_entropy: 0.9948, recall: 0.7558, relative_absolute_error: 0.4919, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4942, root_relative_squared_error: 0.9919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7399, f_measure: 0.7455, kappa: 0.4894, kb_relative_information_score: 0.4979, mean_absolute_error: 0.2485, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7611, predictive_accuracy: 0.7515, prior_entropy: 0.9948, recall: 0.7515, relative_absolute_error: 0.5005, 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: 0.7355, f_measure: 0.7411, kappa: 0.4806, kb_relative_information_score: 0.4893, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7567, predictive_accuracy: 0.7473, prior_entropy: 0.9948, recall: 0.7473, relative_absolute_error: 0.5091, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5027, root_relative_squared_error: 1.0091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7397, f_measure: 0.7453, kappa: 0.4884, kb_relative_information_score: 0.4963, mean_absolute_error: 0.2493, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7588, predictive_accuracy: 0.7507, prior_entropy: 0.9948, recall: 0.7507, relative_absolute_error: 0.5021, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4993, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7333, f_measure: 0.7388, kappa: 0.4761, kb_relative_information_score: 0.485, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7546, predictive_accuracy: 0.7451, prior_entropy: 0.9948, recall: 0.7451, relative_absolute_error: 0.5134, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5048, root_relative_squared_error: 1.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7533, f_measure: 0.7558, kappa: 0.5076, kb_relative_information_score: 0.5071, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7557, predictive_accuracy: 0.7561, prior_entropy: 0.9948, recall: 0.7561, relative_absolute_error: 0.4914, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4939, root_relative_squared_error: 0.9913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7515, f_measure: 0.7539, kappa: 0.504, kb_relative_information_score: 0.5033, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7539, predictive_accuracy: 0.7542, prior_entropy: 0.9948, recall: 0.7542, relative_absolute_error: 0.4951, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7514, f_measure: 0.7539, kappa: 0.5039, kb_relative_information_score: 0.5033, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7538, predictive_accuracy: 0.7542, prior_entropy: 0.9948, recall: 0.7542, relative_absolute_error: 0.4951, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7371, f_measure: 0.7427, kappa: 0.4836, kb_relative_information_score: 0.492, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7575, predictive_accuracy: 0.7486, prior_entropy: 0.9948, recall: 0.7486, relative_absolute_error: 0.5064, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.738, f_measure: 0.7436, kappa: 0.4853, kb_relative_information_score: 0.4936, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7581, predictive_accuracy: 0.7494, prior_entropy: 0.9948, recall: 0.7494, relative_absolute_error: 0.5048, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, f_measure: 0.7433, kappa: 0.4847, kb_relative_information_score: 0.4931, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.758, predictive_accuracy: 0.7491, prior_entropy: 0.9948, recall: 0.7491, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7389, f_measure: 0.7445, kappa: 0.4871, kb_relative_information_score: 0.4952, mean_absolute_error: 0.2498, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7587, predictive_accuracy: 0.7502, prior_entropy: 0.9948, recall: 0.7502, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7535, f_measure: 0.7558, kappa: 0.5078, kb_relative_information_score: 0.5071, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7558, predictive_accuracy: 0.7561, prior_entropy: 0.9948, recall: 0.7561, relative_absolute_error: 0.4914, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4939, root_relative_squared_error: 0.9913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7505, f_measure: 0.7529, kappa: 0.5019, kb_relative_information_score: 0.5011, mean_absolute_error: 0.2469, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7528, predictive_accuracy: 0.7531, prior_entropy: 0.9948, recall: 0.7531, relative_absolute_error: 0.4973, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7515, f_measure: 0.7541, kappa: 0.5043, kb_relative_information_score: 0.5038, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7541, predictive_accuracy: 0.7545, prior_entropy: 0.9948, recall: 0.7545, relative_absolute_error: 0.4946, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.9946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7502, f_measure: 0.7526, kappa: 0.5013, kb_relative_information_score: 0.5006, mean_absolute_error: 0.2471, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7525, predictive_accuracy: 0.7529, prior_entropy: 0.9948, recall: 0.7529, relative_absolute_error: 0.4978, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7514, f_measure: 0.7539, kappa: 0.5038, kb_relative_information_score: 0.5033, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7538, predictive_accuracy: 0.7542, prior_entropy: 0.9948, recall: 0.7542, relative_absolute_error: 0.4951, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7382, f_measure: 0.7438, kappa: 0.4858, kb_relative_information_score: 0.4941, mean_absolute_error: 0.2503, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7587, predictive_accuracy: 0.7497, prior_entropy: 0.9948, recall: 0.7497, relative_absolute_error: 0.5043, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7382, f_measure: 0.7438, kappa: 0.4855, kb_relative_information_score: 0.4936, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7578, predictive_accuracy: 0.7494, prior_entropy: 0.9948, recall: 0.7494, relative_absolute_error: 0.5048, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, f_measure: 0.7433, kappa: 0.4848, kb_relative_information_score: 0.4931, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7579, predictive_accuracy: 0.7491, prior_entropy: 0.9948, recall: 0.7491, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.754, f_measure: 0.7564, kappa: 0.5089, kb_relative_information_score: 0.5081, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7563, predictive_accuracy: 0.7566, prior_entropy: 0.9948, recall: 0.7566, relative_absolute_error: 0.4903, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.9903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7399, f_measure: 0.7455, kappa: 0.4891, kb_relative_information_score: 0.4974, mean_absolute_error: 0.2487, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7602, predictive_accuracy: 0.7513, prior_entropy: 0.9948, recall: 0.7513, relative_absolute_error: 0.501, 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: 0.7507, f_measure: 0.7531, kappa: 0.5023, kb_relative_information_score: 0.5017, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7531, predictive_accuracy: 0.7534, prior_entropy: 0.9948, recall: 0.7534, relative_absolute_error: 0.4967, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, f_measure: 0.7403, kappa: 0.479, kb_relative_information_score: 0.4877, mean_absolute_error: 0.2535, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7557, predictive_accuracy: 0.7465, prior_entropy: 0.9948, recall: 0.7465, relative_absolute_error: 0.5107, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5035, root_relative_squared_error: 1.0107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7339, f_measure: 0.7394, kappa: 0.4772, kb_relative_information_score: 0.4861, mean_absolute_error: 0.2543, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7551, predictive_accuracy: 0.7457, prior_entropy: 0.9948, recall: 0.7457, relative_absolute_error: 0.5123, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5043, root_relative_squared_error: 1.0122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7519, f_measure: 0.7542, kappa: 0.5046, kb_relative_information_score: 0.5038, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7542, predictive_accuracy: 0.7545, prior_entropy: 0.9948, recall: 0.7545, relative_absolute_error: 0.4946, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.9946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7514, f_measure: 0.7539, kappa: 0.5038, kb_relative_information_score: 0.5033, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7538, predictive_accuracy: 0.7542, prior_entropy: 0.9948, recall: 0.7542, relative_absolute_error: 0.4951, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7371, f_measure: 0.7426, kappa: 0.4835, kb_relative_information_score: 0.492, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7576, predictive_accuracy: 0.7486, prior_entropy: 0.9948, recall: 0.7486, relative_absolute_error: 0.5064, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.7434, kappa: 0.4851, kb_relative_information_score: 0.4936, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7587, predictive_accuracy: 0.7494, prior_entropy: 0.9948, recall: 0.7494, relative_absolute_error: 0.5048, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7504, f_measure: 0.7529, kappa: 0.5018, kb_relative_information_score: 0.5011, mean_absolute_error: 0.2469, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7528, predictive_accuracy: 0.7531, prior_entropy: 0.9948, recall: 0.7531, relative_absolute_error: 0.4973, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7371, f_measure: 0.7426, kappa: 0.4835, kb_relative_information_score: 0.492, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7576, predictive_accuracy: 0.7486, prior_entropy: 0.9948, recall: 0.7486, relative_absolute_error: 0.5064, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0064,

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