Task
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 119 Supervised Classification diabetes 1245 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, f_measure: 0.769, kappa: 0.4976, kb_relative_information_score: 0.3064, mean_absolute_error: 0.3231, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7708, number_of_instances: 253, precision: 0.7681, predictive_accuracy: 0.7708, prior_entropy: 0.9463, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8431, unweighted_recall: 0.7453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5627, f_measure: 0.5737, kappa: 0.0944, kb_relative_information_score: 0.2054, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6482, number_of_instances: 253, precision: 0.6233, predictive_accuracy: 0.6482, prior_entropy: 0.9463, relative_absolute_error: 0.7665, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.5705, root_relative_squared_error: 1.1854, unweighted_recall: 0.5396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7593, f_measure: 0.6945, kappa: 0.3378, kb_relative_information_score: 0.278, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6957, number_of_instances: 253, precision: 0.6936, predictive_accuracy: 0.6957, prior_entropy: 0.9463, relative_absolute_error: 0.7131, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.9208, unweighted_recall: 0.6677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, f_measure: 0.7653, kappa: 0.4855, kb_relative_information_score: 0.3397, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7708, number_of_instances: 253, precision: 0.7665, predictive_accuracy: 0.7708, prior_entropy: 0.9463, relative_absolute_error: 0.6776, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.8185, unweighted_recall: 0.7337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5627, f_measure: 0.5737, kappa: 0.0944, kb_relative_information_score: 0.2054, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6482, number_of_instances: 253, precision: 0.6233, predictive_accuracy: 0.6482, prior_entropy: 0.9463, relative_absolute_error: 0.7665, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.5705, root_relative_squared_error: 1.1854, unweighted_recall: 0.5396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6988, f_measure: 0.7227, kappa: 0.3994, kb_relative_information_score: 0.3751, mean_absolute_error: 0.2767, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7233, number_of_instances: 253, precision: 0.7221, predictive_accuracy: 0.7233, prior_entropy: 0.9463, relative_absolute_error: 0.6029, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.526, root_relative_squared_error: 1.093, unweighted_recall: 0.6988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7669, f_measure: 0.7183, kappa: 0.3894, kb_relative_information_score: 0.2792, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7194, number_of_instances: 253, precision: 0.7175, predictive_accuracy: 0.7194, prior_entropy: 0.9463, relative_absolute_error: 0.7183, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.9017, unweighted_recall: 0.6933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, f_measure: 0.7653, kappa: 0.4855, kb_relative_information_score: 0.3397, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7708, number_of_instances: 253, precision: 0.7665, predictive_accuracy: 0.7708, prior_entropy: 0.9463, relative_absolute_error: 0.6776, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.8185, unweighted_recall: 0.7337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7849, f_measure: 0.7044, kappa: 0.356, kb_relative_information_score: 0.3108, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7075, number_of_instances: 253, precision: 0.7028, predictive_accuracy: 0.7075, prior_entropy: 0.9463, relative_absolute_error: 0.6815, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.8952, unweighted_recall: 0.6747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0048, mean_absolute_error: 0.4568, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6364, number_of_instances: 253, predictive_accuracy: 0.6364, prior_entropy: 0.9463, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4815, root_relative_squared_error: 1.0006, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7593, f_measure: 0.6945, kappa: 0.3378, kb_relative_information_score: 0.278, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6957, number_of_instances: 253, precision: 0.6936, predictive_accuracy: 0.6957, prior_entropy: 0.9463, relative_absolute_error: 0.7131, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.9208, unweighted_recall: 0.6677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, f_measure: 0.7653, kappa: 0.4855, kb_relative_information_score: 0.3397, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7708, number_of_instances: 253, precision: 0.7665, predictive_accuracy: 0.7708, prior_entropy: 0.9463, relative_absolute_error: 0.6776, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.8185, unweighted_recall: 0.7337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5627, f_measure: 0.5737, kappa: 0.0944, kb_relative_information_score: 0.2054, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6482, number_of_instances: 253, precision: 0.6233, predictive_accuracy: 0.6482, prior_entropy: 0.9463, relative_absolute_error: 0.7665, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.5705, root_relative_squared_error: 1.1854, unweighted_recall: 0.5396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.7004, kappa: 0.3703, kb_relative_information_score: 0.1723, mean_absolute_error: 0.3842, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6957, number_of_instances: 253, precision: 0.7128, predictive_accuracy: 0.6957, prior_entropy: 0.9463, relative_absolute_error: 0.8372, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.9291, unweighted_recall: 0.6933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7888, f_measure: 0.719, kappa: 0.3922, kb_relative_information_score: 0.2998, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7194, number_of_instances: 253, precision: 0.7187, predictive_accuracy: 0.7194, prior_entropy: 0.9463, relative_absolute_error: 0.6985, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.8799, unweighted_recall: 0.6957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0048, mean_absolute_error: 0.4568, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6364, number_of_instances: 253, predictive_accuracy: 0.6364, prior_entropy: 0.9463, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4815, root_relative_squared_error: 1.0006, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.7523, kappa: 0.4604, kb_relative_information_score: 0.3182, mean_absolute_error: 0.3179, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7549, number_of_instances: 253, precision: 0.7513, predictive_accuracy: 0.7549, prior_entropy: 0.9463, relative_absolute_error: 0.6927, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8354, unweighted_recall: 0.7259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.7653, kappa: 0.4902, kb_relative_information_score: 0.3216, mean_absolute_error: 0.3151, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7668, number_of_instances: 253, precision: 0.7645, predictive_accuracy: 0.7668, prior_entropy: 0.9463, relative_absolute_error: 0.6865, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4036, root_relative_squared_error: 0.8386, unweighted_recall: 0.7422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, f_measure: 0.769, kappa: 0.4976, kb_relative_information_score: 0.3247, mean_absolute_error: 0.3151, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7708, number_of_instances: 253, precision: 0.7681, predictive_accuracy: 0.7708, prior_entropy: 0.9463, relative_absolute_error: 0.6866, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8389, unweighted_recall: 0.7453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8173, f_measure: 0.7284, kappa: 0.4082, kb_relative_information_score: 0.3042, mean_absolute_error: 0.3223, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7312, number_of_instances: 253, precision: 0.727, predictive_accuracy: 0.7312, prior_entropy: 0.9463, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.8468, unweighted_recall: 0.7003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7593, f_measure: 0.6945, kappa: 0.3378, kb_relative_information_score: 0.278, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6957, number_of_instances: 253, precision: 0.6936, predictive_accuracy: 0.6957, prior_entropy: 0.9463, relative_absolute_error: 0.7131, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.9208, unweighted_recall: 0.6677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.761, kappa: 0.4803, kb_relative_information_score: 0.3177, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7628, number_of_instances: 253, precision: 0.7601, predictive_accuracy: 0.7628, prior_entropy: 0.9463, relative_absolute_error: 0.6908, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8404, unweighted_recall: 0.7368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.761, kappa: 0.4803, kb_relative_information_score: 0.3202, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7628, number_of_instances: 253, precision: 0.7601, predictive_accuracy: 0.7628, prior_entropy: 0.9463, relative_absolute_error: 0.6874, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4031, root_relative_squared_error: 0.8376, unweighted_recall: 0.7368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, f_measure: 0.7472, kappa: 0.4478, kb_relative_information_score: 0.3138, mean_absolute_error: 0.3183, mean_prior_absolute_error: 0.4589, weighted_recall: 0.751, number_of_instances: 253, precision: 0.7464, predictive_accuracy: 0.751, prior_entropy: 0.9463, relative_absolute_error: 0.6936, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8417, unweighted_recall: 0.7182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.809, f_measure: 0.7364, kappa: 0.4256, kb_relative_information_score: 0.3014, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7391, number_of_instances: 253, precision: 0.7351, predictive_accuracy: 0.7391, prior_entropy: 0.9463, relative_absolute_error: 0.7039, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.412, root_relative_squared_error: 0.8561, unweighted_recall: 0.7089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, f_measure: 0.7726, kappa: 0.5051, kb_relative_information_score: 0.3135, mean_absolute_error: 0.3211, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7747, number_of_instances: 253, precision: 0.7718, predictive_accuracy: 0.7747, prior_entropy: 0.9463, relative_absolute_error: 0.6998, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8407, unweighted_recall: 0.7484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8177, f_measure: 0.756, kappa: 0.4679, kb_relative_information_score: 0.3141, mean_absolute_error: 0.3202, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7589, number_of_instances: 253, precision: 0.7551, predictive_accuracy: 0.7589, prior_entropy: 0.9463, relative_absolute_error: 0.6976, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8424, unweighted_recall: 0.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8159, f_measure: 0.761, kappa: 0.4803, kb_relative_information_score: 0.3146, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7628, number_of_instances: 253, precision: 0.7601, predictive_accuracy: 0.7628, prior_entropy: 0.9463, relative_absolute_error: 0.6941, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.8442, unweighted_recall: 0.7368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8192, f_measure: 0.7494, kappa: 0.4556, kb_relative_information_score: 0.3092, mean_absolute_error: 0.3215, mean_prior_absolute_error: 0.4589, weighted_recall: 0.751, number_of_instances: 253, precision: 0.7484, predictive_accuracy: 0.751, prior_entropy: 0.9463, relative_absolute_error: 0.7007, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8448, unweighted_recall: 0.7252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, f_measure: 0.7306, kappa: 0.4165, kb_relative_information_score: 0.3003, mean_absolute_error: 0.3241, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7312, number_of_instances: 253, precision: 0.73, predictive_accuracy: 0.7312, prior_entropy: 0.9463, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.8497, unweighted_recall: 0.7073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.7628, kappa: 0.4876, kb_relative_information_score: 0.3046, mean_absolute_error: 0.3224, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7628, number_of_instances: 253, precision: 0.7628, predictive_accuracy: 0.7628, prior_entropy: 0.9463, relative_absolute_error: 0.7026, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.407, root_relative_squared_error: 0.8456, unweighted_recall: 0.7438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.7669, kappa: 0.4904, kb_relative_information_score: 0.313, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7708, number_of_instances: 253, precision: 0.7667, predictive_accuracy: 0.7708, prior_entropy: 0.9463, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8421, unweighted_recall: 0.7384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, f_measure: 0.748, kappa: 0.4504, kb_relative_information_score: 0.3223, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4589, weighted_recall: 0.751, number_of_instances: 253, precision: 0.7469, predictive_accuracy: 0.751, prior_entropy: 0.9463, relative_absolute_error: 0.6888, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8381, unweighted_recall: 0.7205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8183, f_measure: 0.7665, kappa: 0.4949, kb_relative_information_score: 0.3106, mean_absolute_error: 0.3201, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7668, number_of_instances: 253, precision: 0.7663, predictive_accuracy: 0.7668, prior_entropy: 0.9463, relative_absolute_error: 0.6976, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.8439, unweighted_recall: 0.7469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7472, kappa: 0.4446, kb_relative_information_score: 0.2855, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7549, number_of_instances: 253, precision: 0.7498, predictive_accuracy: 0.7549, prior_entropy: 0.9463, relative_absolute_error: 0.7322, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8364, unweighted_recall: 0.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0048, mean_absolute_error: 0.4568, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6364, number_of_instances: 253, predictive_accuracy: 0.6364, prior_entropy: 0.9463, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4815, root_relative_squared_error: 1.0006, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7472, kappa: 0.4446, kb_relative_information_score: 0.2855, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7549, number_of_instances: 253, precision: 0.7498, predictive_accuracy: 0.7549, prior_entropy: 0.9463, relative_absolute_error: 0.7322, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8364, unweighted_recall: 0.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0048, mean_absolute_error: 0.4568, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6364, number_of_instances: 253, predictive_accuracy: 0.6364, prior_entropy: 0.9463, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4815, root_relative_squared_error: 1.0006, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7472, kappa: 0.4446, kb_relative_information_score: 0.2855, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7549, number_of_instances: 253, precision: 0.7498, predictive_accuracy: 0.7549, prior_entropy: 0.9463, relative_absolute_error: 0.7322, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8364, unweighted_recall: 0.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0048, mean_absolute_error: 0.4568, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6364, number_of_instances: 253, predictive_accuracy: 0.6364, prior_entropy: 0.9463, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4815, root_relative_squared_error: 1.0006, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8066, f_measure: 0.7544, kappa: 0.4628, kb_relative_information_score: 0.2671, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7589, number_of_instances: 253, precision: 0.7542, predictive_accuracy: 0.7589, prior_entropy: 0.9463, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.8562, unweighted_recall: 0.7244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, f_measure: 0.7653, kappa: 0.4855, kb_relative_information_score: 0.3397, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7708, number_of_instances: 253, precision: 0.7665, predictive_accuracy: 0.7708, prior_entropy: 0.9463, relative_absolute_error: 0.6776, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.8185, unweighted_recall: 0.7337,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5627, f_measure: 0.5737, kappa: 0.0944, kb_relative_information_score: 0.2054, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6482, number_of_instances: 253, precision: 0.6233, predictive_accuracy: 0.6482, prior_entropy: 0.9463, relative_absolute_error: 0.7665, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.5705, root_relative_squared_error: 1.1854, unweighted_recall: 0.5396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5627, f_measure: 0.5737, kappa: 0.0944, kb_relative_information_score: 0.2054, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6482, number_of_instances: 253, precision: 0.6233, predictive_accuracy: 0.6482, prior_entropy: 0.9463, relative_absolute_error: 0.7665, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.5705, root_relative_squared_error: 1.1854, unweighted_recall: 0.5396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5627, f_measure: 0.5737, kappa: 0.0944, kb_relative_information_score: 0.2054, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6482, number_of_instances: 253, precision: 0.6233, predictive_accuracy: 0.6482, prior_entropy: 0.9463, relative_absolute_error: 0.7665, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.5705, root_relative_squared_error: 1.1854, unweighted_recall: 0.5396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6988, f_measure: 0.7227, kappa: 0.3994, kb_relative_information_score: 0.3751, mean_absolute_error: 0.2767, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7233, number_of_instances: 253, precision: 0.7221, predictive_accuracy: 0.7233, prior_entropy: 0.9463, relative_absolute_error: 0.6029, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.526, root_relative_squared_error: 1.093, unweighted_recall: 0.6988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8066, f_measure: 0.7544, kappa: 0.4628, kb_relative_information_score: 0.2671, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7589, number_of_instances: 253, precision: 0.7542, predictive_accuracy: 0.7589, prior_entropy: 0.9463, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.8562, unweighted_recall: 0.7244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, f_measure: 0.7653, kappa: 0.4855, kb_relative_information_score: 0.3397, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7708, number_of_instances: 253, precision: 0.7665, predictive_accuracy: 0.7708, prior_entropy: 0.9463, relative_absolute_error: 0.6776, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.8185, unweighted_recall: 0.7337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5627, f_measure: 0.5737, kappa: 0.0944, kb_relative_information_score: 0.2054, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6482, number_of_instances: 253, precision: 0.6233, predictive_accuracy: 0.6482, prior_entropy: 0.9463, relative_absolute_error: 0.7665, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.5705, root_relative_squared_error: 1.1854, unweighted_recall: 0.5396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.7004, kappa: 0.3703, kb_relative_information_score: 0.1723, mean_absolute_error: 0.3842, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6957, number_of_instances: 253, precision: 0.7128, predictive_accuracy: 0.6957, prior_entropy: 0.9463, relative_absolute_error: 0.8372, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.9291, unweighted_recall: 0.6933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7888, f_measure: 0.719, kappa: 0.3922, kb_relative_information_score: 0.2998, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7194, number_of_instances: 253, precision: 0.7187, predictive_accuracy: 0.7194, prior_entropy: 0.9463, relative_absolute_error: 0.6985, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.8799, unweighted_recall: 0.6957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5303, f_measure: 0.5652, kappa: 0.0606, kb_relative_information_score: 0.018, mean_absolute_error: 0.4348, mean_prior_absolute_error: 0.4589, weighted_recall: 0.5652, number_of_instances: 253, precision: 0.5652, predictive_accuracy: 0.5652, prior_entropy: 0.9463, relative_absolute_error: 0.9474, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.6594, root_relative_squared_error: 1.3701, unweighted_recall: 0.5303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6988, f_measure: 0.7227, kappa: 0.3994, kb_relative_information_score: 0.3751, mean_absolute_error: 0.2767, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7233, number_of_instances: 253, precision: 0.7221, predictive_accuracy: 0.7233, prior_entropy: 0.9463, relative_absolute_error: 0.6029, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.526, root_relative_squared_error: 1.093, unweighted_recall: 0.6988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5627, f_measure: 0.5737, kappa: 0.0944, kb_relative_information_score: 0.2054, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6482, number_of_instances: 253, precision: 0.6233, predictive_accuracy: 0.6482, prior_entropy: 0.9463, relative_absolute_error: 0.7665, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.5705, root_relative_squared_error: 1.1854, unweighted_recall: 0.5396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8066, f_measure: 0.7544, kappa: 0.4628, kb_relative_information_score: 0.2671, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7589, number_of_instances: 253, precision: 0.7542, predictive_accuracy: 0.7589, prior_entropy: 0.9463, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.8562, unweighted_recall: 0.7244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8066, f_measure: 0.7544, kappa: 0.4628, kb_relative_information_score: 0.2671, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7589, number_of_instances: 253, precision: 0.7542, predictive_accuracy: 0.7589, prior_entropy: 0.9463, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.8562, unweighted_recall: 0.7244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, f_measure: 0.7653, kappa: 0.4855, kb_relative_information_score: 0.3397, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7708, number_of_instances: 253, precision: 0.7665, predictive_accuracy: 0.7708, prior_entropy: 0.9463, relative_absolute_error: 0.6776, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.8185, unweighted_recall: 0.7337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6988, f_measure: 0.7227, kappa: 0.3994, kb_relative_information_score: 0.3751, mean_absolute_error: 0.2767, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7233, number_of_instances: 253, precision: 0.7221, predictive_accuracy: 0.7233, prior_entropy: 0.9463, relative_absolute_error: 0.6029, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.526, root_relative_squared_error: 1.093, unweighted_recall: 0.6988,

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