OpenML
Supervised Classification on visualizing_ethanol

Supervised Classification on visualizing_ethanol

Task 4514 Supervised Classification visualizing_ethanol 224 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5999, f_measure: 0.5853, kappa: 0.1705, kb_relative_information_score: 0.1168, mean_absolute_error: 0.4448, mean_prior_absolute_error: 0.4997, weighted_recall: 0.5852, number_of_instances: 880, precision: 0.5855, predictive_accuracy: 0.5852, prior_entropy: 0.9996, relative_absolute_error: 0.89, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.548, root_relative_squared_error: 1.0964, scimark_benchmark: 931.1106, unweighted_recall: 0.5853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5552, f_measure: 0.5352, kappa: 0.07, kb_relative_information_score: 0.0257, mean_absolute_error: 0.4896, mean_prior_absolute_error: 0.4997, weighted_recall: 0.5352, number_of_instances: 880, precision: 0.5353, predictive_accuracy: 0.5352, prior_entropy: 0.9996, relative_absolute_error: 0.9797, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5027, root_relative_squared_error: 1.0057, scimark_benchmark: 979.7764, unweighted_recall: 0.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4486, f_measure: 0.346, kb_relative_information_score: -1.3645, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.2615, predictive_accuracy: 0.5114, prior_entropy: 0.9996, recall: 0.5114, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0012, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5757, f_measure: 0.5738, kappa: 0.1485, kb_relative_information_score: 55.3075, mean_absolute_error: 0.4738, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.5747, predictive_accuracy: 0.5739, prior_entropy: 0.9996, recall: 0.5739, relative_absolute_error: 0.9481, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5133, root_relative_squared_error: 1.0268, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5809, f_measure: 0.575, kappa: 0.1503, kb_relative_information_score: 92.2059, mean_absolute_error: 0.4522, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.5755, predictive_accuracy: 0.575, prior_entropy: 0.9996, recall: 0.575, relative_absolute_error: 0.9049, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5449, root_relative_squared_error: 1.0901, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4655, f_measure: 0.4645, kappa: -0.0693, kb_relative_information_score: -58.6829, mean_absolute_error: 0.533, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.4652, predictive_accuracy: 0.467, prior_entropy: 0.9996, recall: 0.467, relative_absolute_error: 1.0664, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.73, root_relative_squared_error: 1.4605, scimark_benchmark: 904.0772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4486, f_measure: 0.346, kb_relative_information_score: -1.3563, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.2615, predictive_accuracy: 0.5114, prior_entropy: 0.9996, recall: 0.5114, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0011, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5883, f_measure: 0.5546, kappa: 0.1091, kb_relative_information_score: 60.4408, mean_absolute_error: 0.4701, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.5548, predictive_accuracy: 0.5545, prior_entropy: 0.9996, recall: 0.5545, relative_absolute_error: 0.9407, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5092, root_relative_squared_error: 1.0186, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5426, f_measure: 0.5259, kappa: 0.0512, kb_relative_information_score: 17.0754, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.5259, predictive_accuracy: 0.5261, prior_entropy: 0.9996, recall: 0.5261, relative_absolute_error: 0.985, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5042, root_relative_squared_error: 1.0086, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4122, f_measure: 0.4192, kappa: -0.0948, kb_relative_information_score: -31.4211, mean_absolute_error: 0.5141, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.4366, predictive_accuracy: 0.4591, prior_entropy: 0.9996, recall: 0.4591, relative_absolute_error: 1.0288, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5218, root_relative_squared_error: 1.0439, scimark_benchmark: 944.1067, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4655, f_measure: 0.4645, kappa: -0.0693, kb_relative_information_score: -58.6829, mean_absolute_error: 0.533, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.4652, predictive_accuracy: 0.467, prior_entropy: 0.9996, recall: 0.467, relative_absolute_error: 1.0664, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.73, root_relative_squared_error: 1.4605, scimark_benchmark: 944.1783, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4486, f_measure: 0.346, kb_relative_information_score: -1.3563, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.2615, predictive_accuracy: 0.5114, prior_entropy: 0.9996, recall: 0.5114, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0011, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4486, f_measure: 0.346, kb_relative_information_score: -1.3563, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.2615, predictive_accuracy: 0.5114, prior_entropy: 0.9996, recall: 0.5114, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0011, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4486, f_measure: 0.346, kb_relative_information_score: -1.3563, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.2615, predictive_accuracy: 0.5114, prior_entropy: 0.9996, recall: 0.5114, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0011, scimark_benchmark: 947.1781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5999, f_measure: 0.5853, kappa: 0.1705, kb_relative_information_score: 102.8056, mean_absolute_error: 0.4448, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.5855, predictive_accuracy: 0.5852, prior_entropy: 0.9996, recall: 0.5852, relative_absolute_error: 0.89, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.548, root_relative_squared_error: 1.0964, scimark_benchmark: 947.1781, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4486, f_measure: 0.346, kb_relative_information_score: -1.3645, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.2615, predictive_accuracy: 0.5114, prior_entropy: 0.9996, recall: 0.5114, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0012, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5757, f_measure: 0.5738, kappa: 0.1485, kb_relative_information_score: 55.3075, mean_absolute_error: 0.4738, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.5747, predictive_accuracy: 0.5739, prior_entropy: 0.9996, recall: 0.5739, relative_absolute_error: 0.9481, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5133, root_relative_squared_error: 1.0268, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5809, f_measure: 0.575, kappa: 0.1503, kb_relative_information_score: 92.2059, mean_absolute_error: 0.4522, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.5755, predictive_accuracy: 0.575, prior_entropy: 0.9996, recall: 0.575, relative_absolute_error: 0.9049, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5449, root_relative_squared_error: 1.0901, scimark_benchmark: 940.1541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4486, f_measure: 0.346, kb_relative_information_score: -1.3563, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.2615, predictive_accuracy: 0.5114, prior_entropy: 0.9996, recall: 0.5114, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0011, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4486, f_measure: 0.346, kb_relative_information_score: -1.3563, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.2615, predictive_accuracy: 0.5114, prior_entropy: 0.9996, recall: 0.5114, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0011, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4486, f_measure: 0.346, kb_relative_information_score: -1.3563, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.2615, predictive_accuracy: 0.5114, prior_entropy: 0.9996, recall: 0.5114, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0011, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5883, f_measure: 0.5546, kappa: 0.1091, kb_relative_information_score: 60.4408, mean_absolute_error: 0.4701, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.5548, predictive_accuracy: 0.5545, prior_entropy: 0.9996, recall: 0.5545, relative_absolute_error: 0.9407, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5092, root_relative_squared_error: 1.0186, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5426, f_measure: 0.5259, kappa: 0.0512, kb_relative_information_score: 17.0754, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.5259, predictive_accuracy: 0.5261, prior_entropy: 0.9996, recall: 0.5261, relative_absolute_error: 0.985, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5042, root_relative_squared_error: 1.0086, scimark_benchmark: 938.4601, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4486, f_measure: 0.346, kb_relative_information_score: -1.3563, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.2615, predictive_accuracy: 0.5114, prior_entropy: 0.9996, recall: 0.5114, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0011, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4122, f_measure: 0.4192, kappa: -0.0948, kb_relative_information_score: -31.4211, mean_absolute_error: 0.5141, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.4366, predictive_accuracy: 0.4591, prior_entropy: 0.9996, recall: 0.4591, relative_absolute_error: 1.0288, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5218, root_relative_squared_error: 1.0439, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5999, f_measure: 0.5853, kappa: 0.1705, kb_relative_information_score: 102.8056, mean_absolute_error: 0.4448, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.5855, predictive_accuracy: 0.5852, prior_entropy: 0.9996, recall: 0.5852, relative_absolute_error: 0.89, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.548, root_relative_squared_error: 1.0964, scimark_benchmark: 938.988, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4945, f_measure: 0.433, kappa: 0.0678, kb_relative_information_score: 28.3239, mean_absolute_error: 0.485, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.6415, predictive_accuracy: 0.5432, prior_entropy: 0.9996, recall: 0.5432, relative_absolute_error: 0.9705, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4947, root_relative_squared_error: 0.9896, scimark_benchmark: 908.9569, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.433, kappa: 0.0722, kb_relative_information_score: 29.0304, mean_absolute_error: 0.4846, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.662, predictive_accuracy: 0.5455, prior_entropy: 0.9996, recall: 0.5455, relative_absolute_error: 0.9696, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4943, root_relative_squared_error: 0.9889, scimark_benchmark: 934.7923, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, f_measure: 0.433, kappa: 0.0722, kb_relative_information_score: 29.5369, mean_absolute_error: 0.4842, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.662, predictive_accuracy: 0.5455, prior_entropy: 0.9996, recall: 0.5455, relative_absolute_error: 0.969, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.9893, scimark_benchmark: 905.2959, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.4316, kappa: 0.0677, kb_relative_information_score: 28.9778, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.6464, predictive_accuracy: 0.5432, prior_entropy: 0.9996, recall: 0.5432, relative_absolute_error: 0.9699, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4946, root_relative_squared_error: 0.9895, scimark_benchmark: 920.5394, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5034, f_measure: 0.433, kappa: 0.0678, kb_relative_information_score: 28.6804, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.6415, predictive_accuracy: 0.5432, prior_entropy: 0.9996, recall: 0.5432, relative_absolute_error: 0.9702, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.495, root_relative_squared_error: 0.9902, scimark_benchmark: 920.3788, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5538, f_measure: 0.5636, kappa: 0.1266, kb_relative_information_score: 42.2319, mean_absolute_error: 0.4808, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.5636, predictive_accuracy: 0.5636, prior_entropy: 0.9996, recall: 0.5636, relative_absolute_error: 0.9621, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5316, root_relative_squared_error: 1.0635, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5538, f_measure: 0.5636, kappa: 0.1266, kb_relative_information_score: 42.2319, mean_absolute_error: 0.4808, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.5636, predictive_accuracy: 0.5636, prior_entropy: 0.9996, recall: 0.5636, relative_absolute_error: 0.9621, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5316, root_relative_squared_error: 1.0635, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5538, f_measure: 0.5636, kappa: 0.1266, kb_relative_information_score: 42.2319, mean_absolute_error: 0.4808, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.5636, predictive_accuracy: 0.5636, prior_entropy: 0.9996, recall: 0.5636, relative_absolute_error: 0.9621, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5316, root_relative_squared_error: 1.0635, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5566, f_measure: 0.5658, kappa: 0.1311, kb_relative_information_score: 44.2095, mean_absolute_error: 0.4797, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.5658, predictive_accuracy: 0.5659, prior_entropy: 0.9996, recall: 0.5659, relative_absolute_error: 0.9599, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5296, root_relative_squared_error: 1.0595, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5592, f_measure: 0.5647, kappa: 0.1289, kb_relative_information_score: 44.4537, mean_absolute_error: 0.4798, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.5647, predictive_accuracy: 0.5648, prior_entropy: 0.9996, recall: 0.5648, relative_absolute_error: 0.9601, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5268, root_relative_squared_error: 1.0539, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4486, f_measure: 0.346, kb_relative_information_score: -1.3482, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.2615, predictive_accuracy: 0.5114, prior_entropy: 0.9996, recall: 0.5114, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0011, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5903, f_measure: 0.5917, kappa: 0.1829, kb_relative_information_score: 132.3584, mean_absolute_error: 0.4266, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.5918, predictive_accuracy: 0.592, prior_entropy: 0.9996, recall: 0.592, relative_absolute_error: 0.8537, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5915, root_relative_squared_error: 1.1834, scimark_benchmark: 926.5859, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5741, f_measure: 0.5655, kappa: 0.1306, kb_relative_information_score: 103.602, mean_absolute_error: 0.4429, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.5656, predictive_accuracy: 0.5659, prior_entropy: 0.9996, recall: 0.5659, relative_absolute_error: 0.8863, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5902, root_relative_squared_error: 1.1808, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4486, f_measure: 0.346, kb_relative_information_score: -1.3563, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.2615, predictive_accuracy: 0.5114, prior_entropy: 0.9996, recall: 0.5114, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0011, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4486, f_measure: 0.346, kb_relative_information_score: -1.3563, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.2615, predictive_accuracy: 0.5114, prior_entropy: 0.9996, recall: 0.5114, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0011, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4122, f_measure: 0.4192, kappa: -0.0948, kb_relative_information_score: -31.4211, mean_absolute_error: 0.5141, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.4366, predictive_accuracy: 0.4591, prior_entropy: 0.9996, recall: 0.4591, relative_absolute_error: 1.0288, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5218, root_relative_squared_error: 1.0439, scimark_benchmark: 1375.1578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4655, f_measure: 0.4645, kappa: -0.0693, kb_relative_information_score: -58.6829, mean_absolute_error: 0.533, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.4652, predictive_accuracy: 0.467, prior_entropy: 0.9996, recall: 0.467, relative_absolute_error: 1.0664, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.73, root_relative_squared_error: 1.4605, scimark_benchmark: 1338.6772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4486, f_measure: 0.346, kb_relative_information_score: -1.3563, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.2615, predictive_accuracy: 0.5114, prior_entropy: 0.9996, recall: 0.5114, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0011, scimark_benchmark: 1351.1238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4486, f_measure: 0.346, kb_relative_information_score: -1.3563, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.2615, predictive_accuracy: 0.5114, prior_entropy: 0.9996, recall: 0.5114, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0011, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4486, f_measure: 0.346, kb_relative_information_score: -1.3563, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.2615, predictive_accuracy: 0.5114, prior_entropy: 0.9996, recall: 0.5114, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0011, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4486, f_measure: 0.346, kb_relative_information_score: -1.3563, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.2615, predictive_accuracy: 0.5114, prior_entropy: 0.9996, recall: 0.5114, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0011, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5426, f_measure: 0.5259, kappa: 0.0512, kb_relative_information_score: 17.0754, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.5259, predictive_accuracy: 0.5261, prior_entropy: 0.9996, recall: 0.5261, relative_absolute_error: 0.985, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5042, root_relative_squared_error: 1.0086, scimark_benchmark: 1322.0065, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4486, f_measure: 0.346, kb_relative_information_score: -1.3563, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.2615, predictive_accuracy: 0.5114, prior_entropy: 0.9996, recall: 0.5114, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0011, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5811, f_measure: 0.575, kappa: 0.1503, kb_relative_information_score: 92.2746, mean_absolute_error: 0.4522, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.5755, predictive_accuracy: 0.575, prior_entropy: 0.9996, recall: 0.575, relative_absolute_error: 0.9048, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5449, root_relative_squared_error: 1.0901, scimark_benchmark: 1334.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4486, f_measure: 0.346, kb_relative_information_score: -1.3563, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.2615, predictive_accuracy: 0.5114, prior_entropy: 0.9996, recall: 0.5114, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0011, scimark_benchmark: 1331.1314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4486, f_measure: 0.346, kb_relative_information_score: -1.3563, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.2615, predictive_accuracy: 0.5114, prior_entropy: 0.9996, recall: 0.5114, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0011, scimark_benchmark: 1309.2287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4486, f_measure: 0.346, kb_relative_information_score: -1.3563, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.2615, predictive_accuracy: 0.5114, prior_entropy: 0.9996, recall: 0.5114, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0011, scimark_benchmark: 1313.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4122, f_measure: 0.4192, kappa: -0.0948, kb_relative_information_score: -31.4211, mean_absolute_error: 0.5141, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.4366, predictive_accuracy: 0.4591, prior_entropy: 0.9996, recall: 0.4591, relative_absolute_error: 1.0288, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5218, root_relative_squared_error: 1.0439, scimark_benchmark: 1330.9181, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5999, f_measure: 0.5853, kappa: 0.1705, kb_relative_information_score: 102.8056, mean_absolute_error: 0.4448, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.5855, predictive_accuracy: 0.5852, prior_entropy: 0.9996, recall: 0.5852, relative_absolute_error: 0.89, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.548, root_relative_squared_error: 1.0964, scimark_benchmark: 1335.5309, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5757, f_measure: 0.5738, kappa: 0.1485, kb_relative_information_score: 55.3075, mean_absolute_error: 0.4738, mean_prior_absolute_error: 0.4997, number_of_instances: 880, precision: 0.5747, predictive_accuracy: 0.5739, prior_entropy: 0.9996, recall: 0.5739, relative_absolute_error: 0.9481, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5133, root_relative_squared_error: 1.0268, scimark_benchmark: 1340.5125,

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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs