Task
Supervised Classification on blood-transfusion-service-center

Supervised Classification on blood-transfusion-service-center

Task 10101 Supervised Classification blood-transfusion-service-center 380504 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: 0.5045, kb_relative_information_score: -12.4052, mean_absolute_error: 0.3652, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0061, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -23.8779, mean_absolute_error: 0.3673, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0117, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 7.2593, mean_absolute_error: 0.3586, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9878, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.426, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 17.0208, mean_absolute_error: 0.3534, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9735, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4262, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.637, kb_relative_information_score: -1.3944, mean_absolute_error: 0.3628, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9993, 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: 0.7442, kb_relative_information_score: 56.4218, mean_absolute_error: 0.3264, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3992, root_relative_squared_error: 0.9373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: 4.1024, mean_absolute_error: 0.3607, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -32.5166, mean_absolute_error: 0.3689, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0162, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.426, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, kb_relative_information_score: 20.3946, mean_absolute_error: 0.3515, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9681, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.721, kb_relative_information_score: 35.6219, mean_absolute_error: 0.3339, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9196, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.9434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -18.9451, mean_absolute_error: 0.3664, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0093, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -8.8306, mean_absolute_error: 0.3646, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -3.2147, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -24.7348, mean_absolute_error: 0.3672, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0116, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: 13.8809, mean_absolute_error: 0.3552, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9784, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4261, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.711, kb_relative_information_score: 22.3174, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9556, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.9686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 7.6256, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9882, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6297, kb_relative_information_score: -42.3506, mean_absolute_error: 0.3707, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0211, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4261, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 16.3892, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9744, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4262, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -9.4782, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6573, kb_relative_information_score: -20.7855, mean_absolute_error: 0.3667, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0102, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -31.2697, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0155, 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: 0.4955, kb_relative_information_score: -4.1113, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -138.5349, mean_absolute_error: 0.3899, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0739, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.429, root_relative_squared_error: 1.0075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -6.9397, mean_absolute_error: 0.3643, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0034, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 3.1385, mean_absolute_error: 0.3613, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -55.395, mean_absolute_error: 0.3732, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0279, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4264, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: 85.3906, mean_absolute_error: 0.3123, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.8602, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4365, root_relative_squared_error: 1.0251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.716, kb_relative_information_score: 34.152, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.946, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4237, root_relative_squared_error: 0.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: 17.3954, mean_absolute_error: 0.3532, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9728, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4262, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -23.804, mean_absolute_error: 0.3673, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0117, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.426, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7178, kb_relative_information_score: -18.6358, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0078, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -87.2357, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0448, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4271, root_relative_squared_error: 1.0029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6862, kb_relative_information_score: -244.7906, mean_absolute_error: 0.4143, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.1413, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4352, root_relative_squared_error: 1.0219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -29.0432, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0143, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.426, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -6.2523, mean_absolute_error: 0.3641, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -18.4025, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.009, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -0.4893, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.673, kb_relative_information_score: -2.7306, mean_absolute_error: 0.3633, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.9984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -16.035, mean_absolute_error: 0.3657, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0074, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, kb_relative_information_score: -45.2181, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0226, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4237, root_relative_squared_error: 0.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 17.2583, mean_absolute_error: 0.3533, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9731, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4262, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 13.614, mean_absolute_error: 0.3554, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9788, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4261, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7247, kb_relative_information_score: -54.5571, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0278, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.9905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -2.0989, mean_absolute_error: 0.3621, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -44.8486, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0224, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4261, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 106.3409, mean_absolute_error: 0.2989, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.8233, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4429, root_relative_squared_error: 1.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: 11.3364, mean_absolute_error: 0.3567, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.426, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 0.7136, mean_absolute_error: 0.3617, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -31.6186, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0156, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.426, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -36.6218, mean_absolute_error: 0.3697, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0183, 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: 0.7111, kb_relative_information_score: 7.8258, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9884, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4229, root_relative_squared_error: 0.9932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -42.8902, mean_absolute_error: 0.3708, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0214, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4261, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 44.5501, mean_absolute_error: 0.3373, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9292, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4286, root_relative_squared_error: 1.0064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -100.3423, mean_absolute_error: 0.3819, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.052, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4274, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -19.092, mean_absolute_error: 0.3662, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0086, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -17.9, mean_absolute_error: 0.3662, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0088, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 0.5727, mean_absolute_error: 0.3619, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 80.8268, mean_absolute_error: 0.3152, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.8681, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4354, root_relative_squared_error: 1.0224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -45.0044, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0224, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4262, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7403, kb_relative_information_score: 34.8271, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.945, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4273, root_relative_squared_error: 1.0035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7338, kb_relative_information_score: 50.0272, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.894, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.9396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 2.2331, mean_absolute_error: 0.3618, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 2.731, mean_absolute_error: 0.3615, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9958, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -32.6085, mean_absolute_error: 0.3689, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0161, 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: 0.4955, kb_relative_information_score: 3.0918, mean_absolute_error: 0.3613, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 4.5009, mean_absolute_error: 0.3603, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 38.7035, mean_absolute_error: 0.3408, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9387, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4279, root_relative_squared_error: 1.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -6.4894, mean_absolute_error: 0.3642, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: 16.9739, mean_absolute_error: 0.3534, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9735, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4262, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -102.7952, mean_absolute_error: 0.3824, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0534, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4275, root_relative_squared_error: 1.0039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -42.8104, mean_absolute_error: 0.3708, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0213, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4262, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 5.2838, mean_absolute_error: 0.3601, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9918, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -76.8434, mean_absolute_error: 0.3773, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0393, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4268, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 7.7757, mean_absolute_error: 0.3587, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.988, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7352, f_measure: 0.7327, kappa: 0.2058, kb_relative_information_score: 79.5062, mean_absolute_error: 0.3152, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7425, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8681, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.394, root_relative_squared_error: 0.9253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6437, kb_relative_information_score: -56.0587, mean_absolute_error: 0.3733, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0282, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6756, kb_relative_information_score: -105.9322, mean_absolute_error: 0.3833, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0557, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4232, root_relative_squared_error: 0.9939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7345, kb_relative_information_score: 14.8381, mean_absolute_error: 0.3523, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9704, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.9687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -94.8924, mean_absolute_error: 0.3808, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.049, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4272, root_relative_squared_error: 1.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: 9.8669, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9847, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -10.2744, mean_absolute_error: 0.3649, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.005, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 14.0684, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9781, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4262, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -16.0538, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0068, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -62.5657, mean_absolute_error: 0.3745, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0316, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4264, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: 17.9049, mean_absolute_error: 0.3529, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9721, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4262, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7406, f_measure: 0.6811, kappa: 0.0557, kb_relative_information_score: 70.8821, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.72, predictive_accuracy: 0.7647, prior_entropy: 0.7928, recall: 0.7647, relative_absolute_error: 0.8973, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.396, root_relative_squared_error: 0.9299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 22.5105, mean_absolute_error: 0.3503, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9648, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4265, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6888, kb_relative_information_score: 61.8918, mean_absolute_error: 0.3269, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9004, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4304, root_relative_squared_error: 1.0106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7306, f_measure: 0.7446, kappa: 0.2477, kb_relative_information_score: 22.8048, mean_absolute_error: 0.3317, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7439, predictive_accuracy: 0.7741, prior_entropy: 0.7928, recall: 0.7741, relative_absolute_error: 0.9135, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.9365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6789, kb_relative_information_score: -30.8766, mean_absolute_error: 0.3686, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0152, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4255, root_relative_squared_error: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -20.1215, mean_absolute_error: 0.3666, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0099, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6478, kb_relative_information_score: -2.9234, mean_absolute_error: 0.363, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9999, 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: 0.4955, kb_relative_information_score: -20.6935, mean_absolute_error: 0.3667, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -0.5605, mean_absolute_error: 0.3629, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, kb_relative_information_score: 40.0773, mean_absolute_error: 0.329, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9061, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.9547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -32.8832, mean_absolute_error: 0.3689, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0163, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.426, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: 5.5961, mean_absolute_error: 0.3599, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9913, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7151, kb_relative_information_score: 37.1939, mean_absolute_error: 0.3417, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9413, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4214, root_relative_squared_error: 0.9895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -105.4919, mean_absolute_error: 0.383, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.055, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4277, root_relative_squared_error: 1.0043,

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