Task
Supervised Classification on blood-transfusion-service-center

Supervised Classification on blood-transfusion-service-center

Task 10101 Supervised Classification blood-transfusion-service-center 379714 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_50 study_7 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7105, f_measure: 0.7675, kappa: 0.3204, kb_relative_information_score: 85.7812, mean_absolute_error: 0.2977, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7666, predictive_accuracy: 0.7888, prior_entropy: 0.7928, recall: 0.7888, relative_absolute_error: 0.8201, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.9638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.757, kappa: 0.2882, kb_relative_information_score: 85.2022, mean_absolute_error: 0.2991, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7554, predictive_accuracy: 0.7807, prior_entropy: 0.7928, recall: 0.7807, relative_absolute_error: 0.8238, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.9632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7213, f_measure: 0.7648, kappa: 0.3115, kb_relative_information_score: 91.2463, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7644, predictive_accuracy: 0.7874, prior_entropy: 0.7928, recall: 0.7874, relative_absolute_error: 0.8128, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.9533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.714, f_measure: 0.7648, kappa: 0.3115, kb_relative_information_score: 86.2992, mean_absolute_error: 0.2985, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7644, predictive_accuracy: 0.7874, prior_entropy: 0.7928, recall: 0.7874, relative_absolute_error: 0.8222, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.9571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7101, f_measure: 0.7675, kappa: 0.3204, kb_relative_information_score: 83.3934, mean_absolute_error: 0.299, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7666, predictive_accuracy: 0.7888, prior_entropy: 0.7928, recall: 0.7888, relative_absolute_error: 0.8236, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.9656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.688, f_measure: 0.7329, kappa: 0.2217, kb_relative_information_score: 82.7157, mean_absolute_error: 0.294, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7253, predictive_accuracy: 0.7553, prior_entropy: 0.7928, recall: 0.7553, relative_absolute_error: 0.8098, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4257, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6674, f_measure: 0.7383, kappa: 0.246, kb_relative_information_score: 85.5384, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7308, predictive_accuracy: 0.754, prior_entropy: 0.7928, recall: 0.754, relative_absolute_error: 0.8026, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4426, root_relative_squared_error: 1.0393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7044, f_measure: 0.7377, kappa: 0.2361, kb_relative_information_score: 90.2254, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7307, predictive_accuracy: 0.7594, prior_entropy: 0.7928, recall: 0.7594, relative_absolute_error: 0.8086, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.9784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6788, f_measure: 0.7377, kappa: 0.2361, kb_relative_information_score: 81.4867, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7307, predictive_accuracy: 0.7594, prior_entropy: 0.7928, recall: 0.7594, relative_absolute_error: 0.8079, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4284, root_relative_squared_error: 1.0061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7087, f_measure: 0.7651, kappa: 0.3111, kb_relative_information_score: 85.902, mean_absolute_error: 0.2969, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7658, predictive_accuracy: 0.7888, prior_entropy: 0.7928, recall: 0.7888, relative_absolute_error: 0.8179, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.9674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7191, f_measure: 0.7608, kappa: 0.3001, kb_relative_information_score: 91.1103, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7593, predictive_accuracy: 0.7834, prior_entropy: 0.7928, recall: 0.7834, relative_absolute_error: 0.8228, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.9451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7141, f_measure: 0.757, kappa: 0.2882, kb_relative_information_score: 89.1022, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7554, predictive_accuracy: 0.7807, prior_entropy: 0.7928, recall: 0.7807, relative_absolute_error: 0.8197, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.9619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7014, f_measure: 0.7329, kappa: 0.2217, kb_relative_information_score: 86.1664, mean_absolute_error: 0.2938, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7253, predictive_accuracy: 0.7553, prior_entropy: 0.7928, recall: 0.7553, relative_absolute_error: 0.8092, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.9833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7082, f_measure: 0.7383, kappa: 0.2403, kb_relative_information_score: 86.2731, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.731, predictive_accuracy: 0.758, prior_entropy: 0.7928, recall: 0.758, relative_absolute_error: 0.8085, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.9787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.73, kappa: 0.2132, kb_relative_information_score: 73.8215, mean_absolute_error: 0.2984, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7219, predictive_accuracy: 0.7527, prior_entropy: 0.7928, recall: 0.7527, relative_absolute_error: 0.8219, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4248, root_relative_squared_error: 0.9976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7228, f_measure: 0.7726, kappa: 0.3346, kb_relative_information_score: 96.216, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7734, predictive_accuracy: 0.7941, prior_entropy: 0.7928, recall: 0.7941, relative_absolute_error: 0.8125, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.9427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6603, f_measure: 0.728, kappa: 0.2082, kb_relative_information_score: 81.3591, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7194, predictive_accuracy: 0.75, prior_entropy: 0.7928, recall: 0.75, relative_absolute_error: 0.8028, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4411, root_relative_squared_error: 1.0358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.718, f_measure: 0.772, kappa: 0.335, kb_relative_information_score: 89.047, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7707, predictive_accuracy: 0.7914, prior_entropy: 0.7928, recall: 0.7914, relative_absolute_error: 0.8162, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.9498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7112, f_measure: 0.757, kappa: 0.2882, kb_relative_information_score: 85.8546, mean_absolute_error: 0.2989, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7554, predictive_accuracy: 0.7807, prior_entropy: 0.7928, recall: 0.7807, relative_absolute_error: 0.8232, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.9636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.7319, kappa: 0.2192, kb_relative_information_score: 82.8147, mean_absolute_error: 0.2946, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.724, predictive_accuracy: 0.754, prior_entropy: 0.7928, recall: 0.754, relative_absolute_error: 0.8114, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4235, root_relative_squared_error: 0.9945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7143, f_measure: 0.7648, kappa: 0.3115, kb_relative_information_score: 85.9638, mean_absolute_error: 0.2984, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7644, predictive_accuracy: 0.7874, prior_entropy: 0.7928, recall: 0.7874, relative_absolute_error: 0.8219, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7226, f_measure: 0.7726, kappa: 0.3346, kb_relative_information_score: 98.0236, mean_absolute_error: 0.2941, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7734, predictive_accuracy: 0.7941, prior_entropy: 0.7928, recall: 0.7941, relative_absolute_error: 0.8102, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7239, f_measure: 0.7629, kappa: 0.3056, kb_relative_information_score: 97.3281, mean_absolute_error: 0.2962, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7625, predictive_accuracy: 0.7861, prior_entropy: 0.7928, recall: 0.7861, relative_absolute_error: 0.8159, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7058, f_measure: 0.7492, kappa: 0.2648, kb_relative_information_score: 82.7595, mean_absolute_error: 0.2966, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7462, predictive_accuracy: 0.7741, prior_entropy: 0.7928, recall: 0.7741, relative_absolute_error: 0.8171, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.9778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6505, f_measure: 0.7203, kappa: 0.184, kb_relative_information_score: 54.175, mean_absolute_error: 0.3039, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7108, predictive_accuracy: 0.7447, prior_entropy: 0.7928, recall: 0.7447, relative_absolute_error: 0.8371, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4514, root_relative_squared_error: 1.0601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7252, f_measure: 0.7726, kappa: 0.3346, kb_relative_information_score: 100.1099, mean_absolute_error: 0.2934, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7734, predictive_accuracy: 0.7941, prior_entropy: 0.7928, recall: 0.7941, relative_absolute_error: 0.8082, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.9382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7193, f_measure: 0.772, kappa: 0.335, kb_relative_information_score: 92.1053, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7707, predictive_accuracy: 0.7914, prior_entropy: 0.7928, recall: 0.7914, relative_absolute_error: 0.8126, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.9482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, f_measure: 0.7298, kappa: 0.2142, kb_relative_information_score: 81.5981, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7215, predictive_accuracy: 0.7513, prior_entropy: 0.7928, recall: 0.7513, relative_absolute_error: 0.8126, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.9849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7648, kappa: 0.3115, kb_relative_information_score: 84.1913, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7644, predictive_accuracy: 0.7874, prior_entropy: 0.7928, recall: 0.7874, relative_absolute_error: 0.8247, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.9576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, f_measure: 0.7214, kappa: 0.1853, kb_relative_information_score: 79.9053, mean_absolute_error: 0.2944, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7124, predictive_accuracy: 0.7473, prior_entropy: 0.7928, recall: 0.7473, relative_absolute_error: 0.8109, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4236, root_relative_squared_error: 0.9947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7169, f_measure: 0.7738, kappa: 0.3408, kb_relative_information_score: 93.395, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7726, predictive_accuracy: 0.7928, prior_entropy: 0.7928, recall: 0.7928, relative_absolute_error: 0.8141, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.9471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7119, f_measure: 0.7667, kappa: 0.3174, kb_relative_information_score: 85.588, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7663, predictive_accuracy: 0.7888, prior_entropy: 0.7928, recall: 0.7888, relative_absolute_error: 0.8246, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.9559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7287, f_measure: 0.7672, kappa: 0.3167, kb_relative_information_score: 99.3402, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7692, predictive_accuracy: 0.7914, prior_entropy: 0.7928, recall: 0.7914, relative_absolute_error: 0.8151, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.9372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7293, f_measure: 0.7653, kappa: 0.3108, kb_relative_information_score: 99.6909, mean_absolute_error: 0.2948, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7673, predictive_accuracy: 0.7901, prior_entropy: 0.7928, recall: 0.7901, relative_absolute_error: 0.812, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.399, root_relative_squared_error: 0.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6821, f_measure: 0.7379, kappa: 0.2353, kb_relative_information_score: 69.8447, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7313, predictive_accuracy: 0.7607, prior_entropy: 0.7928, recall: 0.7607, relative_absolute_error: 0.8228, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4276, root_relative_squared_error: 1.0042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.706, f_measure: 0.7431, kappa: 0.2482, kb_relative_information_score: 77.5637, mean_absolute_error: 0.2978, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7382, predictive_accuracy: 0.7674, prior_entropy: 0.7928, recall: 0.7674, relative_absolute_error: 0.8204, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.9802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7141, f_measure: 0.7667, kappa: 0.3174, kb_relative_information_score: 86.8089, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7663, predictive_accuracy: 0.7888, prior_entropy: 0.7928, recall: 0.7888, relative_absolute_error: 0.8224, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.9544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7235, f_measure: 0.7656, kappa: 0.3146, kb_relative_information_score: 94.5607, mean_absolute_error: 0.2955, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7647, predictive_accuracy: 0.7874, prior_entropy: 0.7928, recall: 0.7874, relative_absolute_error: 0.8139, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.402, root_relative_squared_error: 0.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7141, f_measure: 0.757, kappa: 0.2882, kb_relative_information_score: 90.4311, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7554, predictive_accuracy: 0.7807, prior_entropy: 0.7928, recall: 0.7807, relative_absolute_error: 0.8181, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7675, kappa: 0.3204, kb_relative_information_score: 81.1832, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7666, predictive_accuracy: 0.7888, prior_entropy: 0.7928, recall: 0.7888, relative_absolute_error: 0.8217, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.9644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7222, f_measure: 0.7726, kappa: 0.3346, kb_relative_information_score: 95.7484, mean_absolute_error: 0.2953, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7734, predictive_accuracy: 0.7941, prior_entropy: 0.7928, recall: 0.7941, relative_absolute_error: 0.8134, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.9429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6827, f_measure: 0.7302, kappa: 0.2111, kb_relative_information_score: 81.5118, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7228, predictive_accuracy: 0.7553, prior_entropy: 0.7928, recall: 0.7553, relative_absolute_error: 0.8088, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.9985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.7368, kappa: 0.2395, kb_relative_information_score: 83.4011, mean_absolute_error: 0.2917, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7291, predictive_accuracy: 0.754, prior_entropy: 0.7928, recall: 0.754, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4443, root_relative_squared_error: 1.0435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7218, f_measure: 0.7656, kappa: 0.3146, kb_relative_information_score: 94.9314, mean_absolute_error: 0.2955, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7647, predictive_accuracy: 0.7874, prior_entropy: 0.7928, recall: 0.7874, relative_absolute_error: 0.8139, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.9443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, f_measure: 0.7367, kappa: 0.2336, kb_relative_information_score: 80.5347, mean_absolute_error: 0.2924, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7295, predictive_accuracy: 0.758, prior_entropy: 0.7928, recall: 0.758, relative_absolute_error: 0.8053, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.431, root_relative_squared_error: 1.0121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7121, f_measure: 0.7707, kappa: 0.3288, kb_relative_information_score: 88.3692, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7715, predictive_accuracy: 0.7928, prior_entropy: 0.7928, recall: 0.7928, relative_absolute_error: 0.8143, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6757, f_measure: 0.736, kappa: 0.2293, kb_relative_information_score: 82.4592, mean_absolute_error: 0.2922, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7292, predictive_accuracy: 0.7594, prior_entropy: 0.7928, recall: 0.7594, relative_absolute_error: 0.8048, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.433, root_relative_squared_error: 1.0168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6256, f_measure: 0.7205, kappa: 0.2, kb_relative_information_score: 57.2762, mean_absolute_error: 0.2997, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7121, predictive_accuracy: 0.734, prior_entropy: 0.7928, recall: 0.734, relative_absolute_error: 0.8256, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.48, root_relative_squared_error: 1.1271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7055, f_measure: 0.7338, kappa: 0.2251, kb_relative_information_score: 85.5175, mean_absolute_error: 0.2939, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7261, predictive_accuracy: 0.7553, prior_entropy: 0.7928, recall: 0.7553, relative_absolute_error: 0.8096, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.9827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7081, f_measure: 0.7383, kappa: 0.2403, kb_relative_information_score: 91.9889, mean_absolute_error: 0.2917, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.731, predictive_accuracy: 0.758, prior_entropy: 0.7928, recall: 0.758, relative_absolute_error: 0.8034, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.9779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7176, f_measure: 0.7591, kappa: 0.2937, kb_relative_information_score: 92.28, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7586, predictive_accuracy: 0.7834, prior_entropy: 0.7928, recall: 0.7834, relative_absolute_error: 0.821, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.9445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6621, f_measure: 0.7271, kappa: 0.2047, kb_relative_information_score: 65.0025, mean_absolute_error: 0.2989, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7185, predictive_accuracy: 0.75, prior_entropy: 0.7928, recall: 0.75, relative_absolute_error: 0.8233, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4387, root_relative_squared_error: 1.0301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7204, f_measure: 0.7656, kappa: 0.3146, kb_relative_information_score: 92.6961, mean_absolute_error: 0.2965, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7647, predictive_accuracy: 0.7874, prior_entropy: 0.7928, recall: 0.7874, relative_absolute_error: 0.8167, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.9452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.7629, kappa: 0.3056, kb_relative_information_score: 95.5776, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7625, predictive_accuracy: 0.7861, prior_entropy: 0.7928, recall: 0.7861, relative_absolute_error: 0.8189, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.9428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7158, f_measure: 0.7591, kappa: 0.2937, kb_relative_information_score: 92.7604, mean_absolute_error: 0.2977, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7586, predictive_accuracy: 0.7834, prior_entropy: 0.7928, recall: 0.7834, relative_absolute_error: 0.82, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4032, root_relative_squared_error: 0.9468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7204, f_measure: 0.7648, kappa: 0.3115, kb_relative_information_score: 90.2315, mean_absolute_error: 0.2955, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7644, predictive_accuracy: 0.7874, prior_entropy: 0.7928, recall: 0.7874, relative_absolute_error: 0.814, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.9548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7252, f_measure: 0.7726, kappa: 0.3346, kb_relative_information_score: 100.2082, mean_absolute_error: 0.2934, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7734, predictive_accuracy: 0.7941, prior_entropy: 0.7928, recall: 0.7941, relative_absolute_error: 0.8081, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.9382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6791, f_measure: 0.7396, kappa: 0.2421, kb_relative_information_score: 71.7502, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7328, predictive_accuracy: 0.7607, prior_entropy: 0.7928, recall: 0.7607, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4287, root_relative_squared_error: 1.0067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6237, f_measure: 0.7193, kappa: 0.204, kb_relative_information_score: 62.2627, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7124, predictive_accuracy: 0.7286, prior_entropy: 0.7928, recall: 0.7286, relative_absolute_error: 0.8208, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4961, root_relative_squared_error: 1.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7123, f_measure: 0.7704, kappa: 0.329, kb_relative_information_score: 89.3619, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7701, predictive_accuracy: 0.7914, prior_entropy: 0.7928, recall: 0.7914, relative_absolute_error: 0.8173, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.9635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, f_measure: 0.7298, kappa: 0.2142, kb_relative_information_score: 89.7675, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7215, predictive_accuracy: 0.7513, prior_entropy: 0.7928, recall: 0.7513, relative_absolute_error: 0.8084, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.9784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7038, f_measure: 0.7431, kappa: 0.2482, kb_relative_information_score: 75.9254, mean_absolute_error: 0.2985, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7382, predictive_accuracy: 0.7674, prior_entropy: 0.7928, recall: 0.7674, relative_absolute_error: 0.8221, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.9819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7222, f_measure: 0.7648, kappa: 0.3115, kb_relative_information_score: 92.3078, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7644, predictive_accuracy: 0.7874, prior_entropy: 0.7928, recall: 0.7874, relative_absolute_error: 0.8116, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.9538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7223, f_measure: 0.7726, kappa: 0.3346, kb_relative_information_score: 97.0959, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7734, predictive_accuracy: 0.7941, prior_entropy: 0.7928, recall: 0.7941, relative_absolute_error: 0.8113, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.9433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7077, f_measure: 0.7375, kappa: 0.237, kb_relative_information_score: 89.9104, mean_absolute_error: 0.2931, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7303, predictive_accuracy: 0.758, prior_entropy: 0.7928, recall: 0.758, relative_absolute_error: 0.8073, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.9764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.723, f_measure: 0.7726, kappa: 0.3346, kb_relative_information_score: 98.2831, mean_absolute_error: 0.294, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7734, predictive_accuracy: 0.7941, prior_entropy: 0.7928, recall: 0.7941, relative_absolute_error: 0.8097, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.9419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7051, f_measure: 0.7492, kappa: 0.2648, kb_relative_information_score: 81.4727, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7462, predictive_accuracy: 0.7741, prior_entropy: 0.7928, recall: 0.7741, relative_absolute_error: 0.8181, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.9781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6717, f_measure: 0.7203, kappa: 0.184, kb_relative_information_score: 75.3025, mean_absolute_error: 0.2968, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7108, predictive_accuracy: 0.7447, prior_entropy: 0.7928, recall: 0.7447, relative_absolute_error: 0.8175, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4347, root_relative_squared_error: 1.0209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7043, f_measure: 0.7551, kappa: 0.2822, kb_relative_information_score: 79.7315, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7534, predictive_accuracy: 0.7794, prior_entropy: 0.7928, recall: 0.7794, relative_absolute_error: 0.8186, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4148, root_relative_squared_error: 0.9742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7181, f_measure: 0.7629, kappa: 0.3056, kb_relative_information_score: 94.0481, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7625, predictive_accuracy: 0.7861, prior_entropy: 0.7928, recall: 0.7861, relative_absolute_error: 0.8208, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.7312, kappa: 0.2147, kb_relative_information_score: 89.514, mean_absolute_error: 0.2919, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7237, predictive_accuracy: 0.7553, prior_entropy: 0.7928, recall: 0.7553, relative_absolute_error: 0.8041, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.9794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6977, f_measure: 0.7472, kappa: 0.2588, kb_relative_information_score: 71.2227, mean_absolute_error: 0.3004, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7442, predictive_accuracy: 0.7727, prior_entropy: 0.7928, recall: 0.7727, relative_absolute_error: 0.8274, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.9825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7186, f_measure: 0.7608, kappa: 0.3001, kb_relative_information_score: 91.6796, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7593, predictive_accuracy: 0.7834, prior_entropy: 0.7928, recall: 0.7834, relative_absolute_error: 0.8217, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4031, root_relative_squared_error: 0.9466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.715, f_measure: 0.7675, kappa: 0.3204, kb_relative_information_score: 85.1167, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7666, predictive_accuracy: 0.7888, prior_entropy: 0.7928, recall: 0.7888, relative_absolute_error: 0.8174, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.9625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.716, f_measure: 0.7591, kappa: 0.2937, kb_relative_information_score: 92.3934, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7586, predictive_accuracy: 0.7834, prior_entropy: 0.7928, recall: 0.7834, relative_absolute_error: 0.8206, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4032, root_relative_squared_error: 0.9468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7015, f_measure: 0.7293, kappa: 0.2076, kb_relative_information_score: 81.2909, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.722, predictive_accuracy: 0.7553, prior_entropy: 0.7928, recall: 0.7553, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.9875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7075, f_measure: 0.7651, kappa: 0.3111, kb_relative_information_score: 84.3564, mean_absolute_error: 0.2977, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7658, predictive_accuracy: 0.7888, prior_entropy: 0.7928, recall: 0.7888, relative_absolute_error: 0.82, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4122, root_relative_squared_error: 0.9679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7063, f_measure: 0.7521, kappa: 0.2735, kb_relative_information_score: 78.5862, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7498, predictive_accuracy: 0.7767, prior_entropy: 0.7928, recall: 0.7767, relative_absolute_error: 0.8196, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.9739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7275, f_measure: 0.7653, kappa: 0.3108, kb_relative_information_score: 98.8417, mean_absolute_error: 0.2953, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7673, predictive_accuracy: 0.7901, prior_entropy: 0.7928, recall: 0.7901, relative_absolute_error: 0.8133, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3994, root_relative_squared_error: 0.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7173, f_measure: 0.7738, kappa: 0.3408, kb_relative_information_score: 93.5312, mean_absolute_error: 0.2954, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7726, predictive_accuracy: 0.7928, prior_entropy: 0.7928, recall: 0.7928, relative_absolute_error: 0.8136, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.9471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, f_measure: 0.7648, kappa: 0.3115, kb_relative_information_score: 89.0469, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7644, predictive_accuracy: 0.7874, prior_entropy: 0.7928, recall: 0.7874, relative_absolute_error: 0.8149, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.9548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6568, f_measure: 0.7337, kappa: 0.2321, kb_relative_information_score: 65.5963, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7257, predictive_accuracy: 0.75, prior_entropy: 0.7928, recall: 0.75, relative_absolute_error: 0.8193, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4536, root_relative_squared_error: 1.0651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.717, f_measure: 0.7738, kappa: 0.3408, kb_relative_information_score: 93.4775, mean_absolute_error: 0.2955, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7726, predictive_accuracy: 0.7928, prior_entropy: 0.7928, recall: 0.7928, relative_absolute_error: 0.8139, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.9471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7134, f_measure: 0.757, kappa: 0.2882, kb_relative_information_score: 89.8366, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7554, predictive_accuracy: 0.7807, prior_entropy: 0.7928, recall: 0.7807, relative_absolute_error: 0.819, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.9613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.7302, kappa: 0.2111, kb_relative_information_score: 76.9347, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7228, predictive_accuracy: 0.7553, prior_entropy: 0.7928, recall: 0.7553, relative_absolute_error: 0.8141, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.426, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7054, f_measure: 0.7511, kappa: 0.2709, kb_relative_information_score: 83.6185, mean_absolute_error: 0.2961, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7483, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8157, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.9779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7046, f_measure: 0.7422, kappa: 0.2448, kb_relative_information_score: 77.1408, mean_absolute_error: 0.2981, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7376, predictive_accuracy: 0.7674, prior_entropy: 0.7928, recall: 0.7674, relative_absolute_error: 0.8211, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4179, root_relative_squared_error: 0.9813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6714, f_measure: 0.7232, kappa: 0.1937, kb_relative_information_score: 63.0688, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.714, predictive_accuracy: 0.746, prior_entropy: 0.7928, recall: 0.746, relative_absolute_error: 0.8292, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4402, root_relative_squared_error: 1.0337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7103, f_measure: 0.7683, kappa: 0.3235, kb_relative_information_score: 87.036, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.767, predictive_accuracy: 0.7888, prior_entropy: 0.7928, recall: 0.7888, relative_absolute_error: 0.8193, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.9658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7223, f_measure: 0.7726, kappa: 0.3346, kb_relative_information_score: 95.8743, mean_absolute_error: 0.2952, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7734, predictive_accuracy: 0.7941, prior_entropy: 0.7928, recall: 0.7941, relative_absolute_error: 0.8131, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.9431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7043, f_measure: 0.7638, kappa: 0.3087, kb_relative_information_score: 85.4479, mean_absolute_error: 0.2971, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7628, predictive_accuracy: 0.7861, prior_entropy: 0.7928, recall: 0.7861, relative_absolute_error: 0.8184, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.9705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7074, f_measure: 0.7502, kappa: 0.2675, kb_relative_information_score: 81.7348, mean_absolute_error: 0.2968, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7478, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8176, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.416, root_relative_squared_error: 0.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.7667, kappa: 0.3174, kb_relative_information_score: 97.336, mean_absolute_error: 0.2953, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7663, predictive_accuracy: 0.7888, prior_entropy: 0.7928, recall: 0.7888, relative_absolute_error: 0.8135, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.402, root_relative_squared_error: 0.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, f_measure: 0.7648, kappa: 0.3115, kb_relative_information_score: 90.1546, mean_absolute_error: 0.2953, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7644, predictive_accuracy: 0.7874, prior_entropy: 0.7928, recall: 0.7874, relative_absolute_error: 0.8135, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.711, f_measure: 0.7675, kappa: 0.3204, kb_relative_information_score: 85.5931, mean_absolute_error: 0.2982, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7666, predictive_accuracy: 0.7888, prior_entropy: 0.7928, recall: 0.7888, relative_absolute_error: 0.8213, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4111, root_relative_squared_error: 0.9653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7226, f_measure: 0.7726, kappa: 0.3346, kb_relative_information_score: 97.3555, mean_absolute_error: 0.2944, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7734, predictive_accuracy: 0.7941, prior_entropy: 0.7928, recall: 0.7941, relative_absolute_error: 0.8109, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.9431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.757, kappa: 0.2882, kb_relative_information_score: 88.9976, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7554, predictive_accuracy: 0.7807, prior_entropy: 0.7928, recall: 0.7807, relative_absolute_error: 0.8195, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.9611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6775, f_measure: 0.7252, kappa: 0.1986, kb_relative_information_score: 86.0676, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7164, predictive_accuracy: 0.7487, prior_entropy: 0.7928, recall: 0.7487, relative_absolute_error: 0.8078, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4309, root_relative_squared_error: 1.0118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, f_measure: 0.7675, kappa: 0.3204, kb_relative_information_score: 89.7787, mean_absolute_error: 0.2964, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7666, predictive_accuracy: 0.7888, prior_entropy: 0.7928, recall: 0.7888, relative_absolute_error: 0.8164, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.41, root_relative_squared_error: 0.9627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7027, f_measure: 0.7528, kappa: 0.2774, kb_relative_information_score: 72.4374, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7493, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8277, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.9772,

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

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

OpenML APIs